International Journal of Circuits, Systems and Signal Processing
E-ISSN: 1998-4464
Volume 13, 2019
Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.
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Volume 13, 2019
Title of the Paper: Prime Geodesic Theorem for Compact Riemann Surfaces
Authors: Dzenan Gusic
Pages: 747-753
Abstract: As it is known, there have been a number of attempts to obtain precise estimates for the number of primes not exceeding x. A lot of them are related to the ones done by Chebyshev. Thus, a good deal is known about them and their limitations. The truth, or otherwise, of the Riemann hypothesis, however, has still not been established. In this paper we derive a prime geodesic theorem for a compact Riemann surface regarded as a quotient of the upper halfplane by a discontinuous group. We assume that the surface at case, considered as a compact Riemannian manifold, is equipped with classical Poincare metric. Our result follows from the standard theory of the zeta functions of Selberg and Ruelle. The closed geodesics in this setting are in one-to-one correspondence with the conjugacy classes of the corresponding group, so analysis conducted here is reminiscent of the relationship between the distribution of rational primes and Riemann zeta function. By analogy with the classical arithmetic case and the fact that the Riemann hypothesis is true in our setting, one would certainly expect to obtain an analogous error term in the prime geodesic theorem. Bearing in mind that the corresponding Selberg zeta funcion has much more zeros than the Riemann zeta, the latter is not satisfied however.
Title of the Paper: An Implementation of Local Sparsity Ratio-Mine Algorithm for Arabic Text Categorization
Authors: Sameer Nooh, Nidal F. Shilbayeh
Pages: 739-746
Abstract: Because of the complexities of the Arabic language and the tremendous number of text documents existed in the internet, the development of Arabic text categorization systems is a challenging problem for researchers. In this paper, we developed a new Arabic text classification system based-on Local Sparsity Ratio Mine Algorithm (LSC-mine). The developed system is capable of detecting outlier points in a spatial space; the discovering process is accomplished through computing the Local sparsity ratio (LSC), which indicates the outlier-ness of a certain point. Several experiments have been conducted to ensure the success of the developed system. The system has been implemented and tested using datasets of different categories collected and gathered from online Arabic documents websites.
Title of the Paper: Comparative Analysis of Planar Acoustic MVDR Beamformer
Authors: Kirtimalini Chaudhari, Mukul Sutaone, Prashant Bartakke
Pages: 732-738
Abstract: In this paper an ambiance invariant, data length invariant, real time experimental set up for testing Minimum Variance Distortionless Response (MVDR) beamformer under noisy reverberant environment is presented. To the best of our knowledge, for the first time an attempt is made to deploy MVDR beamforming algorithm on planar topologies, viz. rectangular and circular array. The sound source is localized using Time Delay of Arrival (TDOA) method. We present comparison between analytical performance of MVDR beamformer having up to 12 microphones in the array for reported topologies. An experimental investigation of MVDR beamformer on a dedicated hardware for a greater number of microphones in an array is performed. We show that using MVDR beamformer, in reverberant environment, the noise suppression up to 15 to 16 dB can be achieved using 5 to 9 microphones in a linear array.
Title of the Paper: E-commerce Network Security Protection Technology based on Mixed Data Encryption Strategy
Authors: Yuan He, Liqi Ou, Xiaofei Pu, Yunfei Li, Yuyuan Zhao
Pages: 727-731
Abstract: Network security is required more by the development of e-commerce. Data encryption is an effective method to ensure network security. In this paper, Advanced Encryption Standard (AES) algorithm and Elliptic Curve Cryptography (ECC) algorithm were analyzed, and their advantages and disadvantages were found. Then a hybrid encryption strategy based on AES and ECC was proposed for the security protection of e-commerce networks. The performance of mixed encryption strategy was analyzed through different experiments, and it was found that AES algorithm and ECC algorithm had obvious advantages in symmetric and asymmetric algorithms. AES+ECC hybrid encryption strategy had lower space complexity and higher security. It took only 1000 ms to process 50 M packets. Experimental results demonstrated the reliability of AES+ECC hybrid algorithm. It provides some theoretical basis for its application in e-commerce network security protection
Title of the Paper: The Use of Relay Shifting Method of Process Identification for Auto Tuning of PID Controller
Authors: Milan Hofreiter, Alzbeta Hornychova
Pages: 721-726
Abstract: The paper describes the use of a recently published method of relay feedback identification (called the shifting method) for estimation of the second order time delayed system model. An algorithm is designed for estimation of model parameters from two points of the frequency characteristics of the identified system. Both points are obtained from a single relay feedback test without any assumption about the model transfer function. The relay shifting method used here was modified by using an integrator in the feedback loop or an added time delay in closed loop. It allows to estimate points of frequency characteristics in positions more suitable for model fitting than the original shifting method approach. This modification enables a better estimate of the static gain even under constant load disturbance. The identified process model was used to calculate the PID controller parameters. The proposed solution is demonstrated on simulated and real examples.
Title of the Paper: Detection, in Situ Recognition of Coarse Root Systems using Ground Penetrating Radar (GPR)
Authors: Mingkai Wang, Jian Wen, Wenbin Li, Zhaoxi Li
Pages: 714-720
Abstract: The growth of coarse tree root systems is extremely complex as well as the cross-growth in three dimensions is very difficult, it is clear that the quantitative recognition and the observation are difficult to detect in situ. Previously, coarse tree root systems are usually detected by destructive methods such as excavation and profiling. In this paper, we used ground penetrating radar (GPR) to detect coarse root systems according to the GPR principle that forming clear hyperbolic reflections on the GPR radargram when electromagnetic waves travel across two surfaces with different dielectric constants. First, we use GprMax 3.0 to simulated the hyperbola of root reflection with different root directions based on finite-different time-domain method (FDTD).Then, the coordinates of coarse root systems are readily inversed by Symmetry Algorithm and Hough Transform. To demonstrate the viability of two algorithms, the inversion of coordinates is compared with the actual coordinates in the forward condition and the relative error is obtained. Furthermore, the detection and in situ recognition of the coarse tree root systems can achieved in the simulation experiment and field experiment. The results show that the root localization is quite accurate. Research results can also provide a solid basis for the three-dimensional reconstruction of ancient and famous trees and intersecting trees, as well as nondestructive testing means in the safety maintenance of trees.
Title of the Paper: Threshold Filtering for Phoneme Pronunciation Signals based on FrFT
Authors: Zhenyan Fan, Jun Yu, Zhongxiao Li, Xiaodong Zhuang, Nikos E. Mastorakis
Pages: 709-713
Abstract: The Fractional Fourier Transform (FrFT) is applied to the denoising of noisy speech. The optimal transform order of FrFT for single phoneme is determined by using weighted variance method. Then the soft-hard threshold compromise denoising algorithm is put forward. This method removes the amplitude of noise from noisy phoneme signals in FrFT-domain. Signals are reconstructed by inverse FrFT to get original speech. The experimental results show that this method can effectively remove noise from signals and get a good auditory effect, and this algorithm is of low computational complexity.
Title of the Paper: An Image Denoising Method based on Multi Resulation Bilateral Filter
Authors: Md Shaiful Islam Babu, Imran Khan, Md Samrat Ali Abu Kawser, Ajkia Zaman Juthi
Pages: 705-708
Abstract: Bilateral filter is a nonlinear filter and the method image edge information mainly in filtering considers both gray level similarities and geometric closeness of the neighboring pixel without smoothing edges. Based on the study and research of bilateral filter found of the bilateral filter is well suited to image denoising. The bilateral filter is appropriate for color and grey picture filtering system with strong performance. It has appeared to be a successful picture denoising procedure. We can use it to the blocking artifacts reduce. A vital issue with the program with the bilateral filter is the choice of the channel parameters which influence the outcomes essentially. Other hand research interest of bilateral filter is increasing speed of the calculations rate. There are three main efforts of this dissertation. First I will discuss about empirical study of the optimal selection of parameter in image denoising. Here I proposed a development of multi resolution bilateral filter where bilateral filter is used to the low frequency sub-band of a signal decomposed through wavelet filter. Multi resolution bilateral filter combined with wavelet thresholding to develop a new image denoising development which finished up to be very efficient in noise eliminating in real noisy image. Second contribution is a flexible method to reduce compression artifacts for avoid over smoothing texture areas and to effectively eliminate blocking and performing artifacts. In this research first detected the block boundary discontinuities and texture regions these are then use to manage the spatial and strength parameters of bilateral filter. The analyze outcome confirm that the suggested method can improve the quality of renewed image far better than the most preferred bilateral filter. Third part is the development of the fast bilateral filter which is convenience for combination of multiple windows to estimate the Gaussian filter more accurately.
Title of the Paper: Densely Connected Convolution Network using Generative Adversarial Nets (GANs)
Authors: Ahmed M. Y. Albhnasaswy, Yasser. M. K. Omar, Essam Fakharany
Pages: 696-704
Abstract: machine learning, due to the images that are complex and highly dimensional, thus making them hard to model well. This paper proposes an extension to the Generative Adversarial Networks (GAN) namely DenseGAN to synthetically generate more challenging and more complex images such as the faces of people or cats which contain large amounts of features. The key innovation of this piece of work is to replace the traditional Convolutional Neural Network (CNN) in the discriminator with the newly Densely Connected Convolution Network (DenseNet); this aims at ensuring the maximum information flow of the discriminator layer and enhancing the gradient outpouring to the generator. Empirically, this proposal aims to show that the proposed DenseGAN is capable of creating realistic facial images. Furthermore, a detailed comparison between images generated by standard GANs, DCGAN and the new proposed model (DenseGAN) was conducted .The new model using CAT and CelebFaces Attributes (CelebA) dataset is executed and the results obtained from the generating task are demonstrated instead.
Title of the Paper: The Effect of Weather Conditions on Millimeter Wave Propagation
Authors: Yosef Golovachev, Ariel Etinger, Gad A. Pinhasi, Yosef Pinhasi
Pages: 690-695
Abstract: Electromagnetic wave propagation in the atmosphere is affected by the composition of the air and by meteorological conditions like fog and rain. In the current work the effects of different phases of water in the atmosphere (vapor, suspended droplets, fog and rain) on the propagation of electromagnetic radiation at broadband millimeter wave spectrum, have been studied. Analytical expressions are derived for the attenuation and group delay along the path of propagation. Using the derived expressions a modified millimeter-wave propagation model (MPM) is employed for the prediction of the suspended water droplets and rain effects.
Title of the Paper: Multi-node Collaborative Image Acquisition and Compression Technology in Wireless Multimedia Sensor Networks
Authors: F. He, M. A. Ahraf
Pages: 684-689
Abstract: In order to achieve the objectives of saving energy consumption as well as maximizing the lifecycle of network, the paper has thoroughly researched the multi-node collaborative image acquisition and compression technology in Wireless Multimedia Sensor Networks (WMSN) in detail. The paper described the problems of Minimum Energy Image Acquisition (MEIC) for monitoring multiple target areas at a certain time in a certain region, as well as the MEIC problems in terms of integer linear programming description. The problems were NP-complete. Consequently, the paper proposed a Local Camera Coordinated Energy-saving Strategy (LCCES) in accordance with the characteristics of camera node image acquisition. The paper carried out various simulation experiments to evaluate the performance of LCCES strategy. Besides, the paper also proposed a Multi-node Collaborative Image Compression Scheme based on LBT (LBT-MCIC). Research results of the paper have shown that the LCCES could effectively reduce the number of active camera nodes in the process of image acquisition, thus reducing the energy consumption of image acquisition. Meanwhile, being of low computational complexity and high quality of reconstructed images, the LCCES could balance the energy consumption of camera nodes in the network and effectively solve the problem that the cost of public nodes was too high in the two-hop cluster image transmission scheme. In summary, the paper has provided the basic theory and technical support for the next step of establishing the visual monitoring system of battlefield environment based on WMSN, making it of great practical significance and far-reaching strategic significance in terms of speeding up the construction of a three-dimensional platform for the comprehensive battlefield situation of the land, sea and air forces.
Title of the Paper: The Convergence Time of a Blind adaptive Equalizer
Authors: Monika Pinchas
Pages: 678-683
Abstract:In a typical communication system, the blind adaptive equalizer is followed by a decision device where we have to wait until the blind adaptive equalizer has converged to a residual inter-symbol interference (ISI) that makes the decision process of the decision device applicable and reliable. Up to now there is no algorithm that supplies without the knowledge of the initial ISI the convergence time of a blind adaptive equalizer where the blind adaptive equalizer leaves the system with a relative low residual ISI that makes the decision process of the decision device applicable. In this paper, we consider the two independent quadrature carrier input case and type of blind adaptive equalizers where the error that is fed into the adaptive mechanism which updates the equalizer’s taps can be expressed as a polynomial function of the equalized output up to order three. We propose an algorithm that supplies without the knowledge of the initial ISI the convergence time of a blind adaptive equalizer that depends on the input signal statistics and properties of the chosen equalizer. It should be pointed out that the convergence time is supplied during the deconvolutional process. Simulation results confirm the efficiency of the proposed algorithm.
Title of the Paper: Single Channel Speech Enhancement using a Complex Spectrum Method
Authors: A. M. Mutawa
Pages: 667-677
Abstract:Speech enhancement plays an important role in speech communication systems. Speech signal enhancement in an additive noise environment in speech recognition and speaker verification system is still a challenging task. In speech enhancement process, the spectral analysis method has more advantageous than other methods due to its simplicity and effective localization of noise components in the signal. But, this method does not analyze the phase information for efficient speech enhancement. This present work proposes a modified phase spectrum compensation method for speech enhancement in a single channel environment that analyzes both the magnitude and phase spectrum of the speech signal. The performance of the proposed method is compared with that of three conventional methods (Spectral Subtraction (SSUB), Minimum Mean Square Error (MMSE) estimator, and Phase Spectrum Compensation (PSC)) through four different objective measures: Log spectral distance (LSD), log likelihood ratio (LLR), itakura-siato (IS) measure, and short-time objective intelligibility (STOI). The experimental results show that the three objective measures (LLR, LSD, and STOI) of the proposed method gives better results over the conventional methods in four different noise Signal to Noise Ratio (SNR).
Title of the Paper: Improved Spectral Characteristics of Bandpass FIR Filter using a Novel Adjustable Window Function
Authors: P. Kamala Kumari, J. Beatrice Seventline
Pages: 662-666
Abstract: The window method is a very simpler and popular procedure to design a Finite impulse response (FIR)filter. Of the existing window techniques, the Kaiser window outperforms in main lobe width but fails in computational complexity and higher relative side lobe attenuation. This paper presents a novel adjustable window function formed by combining Gaussian window, Lanczos window and Dolph-Chebyshev window (GLC) with a controlling parameter to meet the specifications for various applications. This parameter adjusts the spectral characteristics and shape of the window function according to the desire of the designer. The spectral characteristics of the proposed window have been analyzed and its performance has been compared with Gaussian Hann and Lanzcos Blackman windows. From MATLAB simulation results, it is observed that the proposed GLC window results in greater performance with respect to relative side lobe attenuation. Furthermore, it has been used to design a FIR bandpass filter to justify its performance and their comparative analysis is presented. The FIR bandpass filter designed with the proposed GLC window provided better results in terms of ripple ratio.
Title of the Paper: Wireless Multimedia Sensor Network based on JPEG Image Coding Algorithm
Authors: J. He, M. A. Ashraf
Pages: 654-661
Abstract: The purpose of this study was to analyze the performance of image coding and image transmission for wireless video sensor nodes. In this research, firstly, the challenges and current targets of image coding technology in wireless multimedia sensor networks were analyzed. Secondly, the compression of video surveillance image sequences in wireless multimedia sensor networks was analyzed, and a low-complexity image coding scheme based on change detection and improved JPEG algorithm was put forward. Finally, the algorithm complexity analysis and simulation experiments were carried out. The results showed that this method could reduce the data traffic and energy consumption of wireless sensor nodes
Title of the Paper: Analytical Approach to Transient Solution of Single-Line and Double-Line Faults in Three-Phase Circuits
Authors: Diego Bellan
Pages: 647-653
Abstract: In this work a general methodology is introduced to obtain the analytical solution of transients due to single-line and double-line faults in three-phase circuits. The proposed approach is based on the Clarke transformation, and it is shown that the constraints introduced by the considered faults result in the coupling, through an ideal transformer, between the modal circuits α and 0 of the transformation. The exact analytical solution provided by the proposed approach is validated numerically by implementing a reference three-phase circuit in Matlab/Simulink. Thus, it is shown that single-line and double-line fault transients in simple three-phase circuits do not need a rough numerical approach, but an analytical methodology with educational value can be effectively exploited.
Title of the Paper: Urban Expansion and Pattern Analysis using Shannon’s Entropy approach in ElMinya Governorate, Upper Egypt
Authors: Rania E. Ibrahim, Lamyaa G. Taha, Adel Shalaby
Pages: 637-646
Abstract: Urban expansion is a significant consequence of local land use/land cover change that is affected by human activities. Multi-temporal data enable monitoring urbanization over time in order to measure the changes of the urban expansion over the time interval. The aim of this research is to detect LULC changes in ElMinya governorate using Landsat TM /ETM/OLI satellite imageries for the years 1984, 2001 and 2017 respectively. The study uses Shannon’s Entropy to monitor urban growth utilizing remote sensing and Geographic Information Systems. Firstly, the 1984, 2001 and 2017 imageries were rectified and co-registered to UTM projection with root mean square error 0.3, 0.37and 0.41 respectively. Secondly, land use/land cover maps were prepared for 1984, 2001 and 2017 using neural network algorithm with an overall accuracy of 94.4%, 96.2, 97.5% for 1984, 2001 and 2017 respectively. Imageries were classified using neural network classifier into four classes (water, agriculture, desert, urban). The study shows that there is a significant increase in urban area during the study period. The results indicated that urban area in 1984 was (10,456) hectare which has been increased to (17,596), (38,360) in 2001 and 2017 respectively. This increase attributed to the intensive urbanization. The agricultural land increased from (219,340) hectare in 1984 to (227,360), (262,021) in 2001 and 2017 respectively. The increase in agricultural land is attributed to reclamation activity. Thirdly, Shannon Entropy was computed to quantify the urban area for the whole governorate. The obtained Entropy value (0.191) in 2017 was higher than Entropy values (0.079), (0.121) in 1984 and 2001 respectively. Higher value of overall Entropy for the whole urban area gave an indication of urban growth (compact development). Also, Shannon Entropy was computed to quantify the urban area over each ward (markaz) in order to know which one has higher urbanization. It was found that the highest urbanization in Maghaghah. Lastly, the pattern of urban expansion was determined for each ward. It was found that the urbanization took place around existing urban areas for all wards.
Title of the Paper: Implementation of a Low-power Embedded Processor for IoT Applications and Wearables
Authors: Kareem Mansour, Ahmed Saeed
Pages: 625-636
Abstract: Embedded processors are key building blocks for IoT platforms. Such processors should provide flexible computing and low-power consumption for the small form factor devices to have better battery life. This paper introduces an implementation of a new design for a 32-bit RISC embedded processor optimized for lowpower budget and targeting IoT applications. The proposed processor is capable to execute a small set of simple instructions in few cycles, and hence, efficient for low-power embedded applications. The instruction set is inspired by the state-of-the-art Thumb-2 ISA by ARM. The performance of the processor is analyzed in terms of delay and power. The design is described in VHDL, implemented and simulated on Vivado and tested using Nexys 4 DDR board featuring Xilinx’s Artix-7 FPGA.
Title of the Paper: Reduced Time Domain Behavioral Model of Three-Wire Shielded Power Cables
Authors: Ali Krim, Abderrazak Lakrim, Driss Tahri
Pages: 617-624
Abstract: To quantify effectively the electromagnetic interference levels in a motor drive system, we have to build up a precise high frequency model of the power cable between the converter and the motor. In this context, this paper proposes a model of three conductors shielded power cables in time and frequency domain. This model takes into account all electromagnetic phenomena that occur in the cable when it is under a rapid variation of current and voltage. The rotational symmetry of the cable has been exploited to decouple its admittance matrix. Then, the frequency evolution of the admittance matrix eigenvalues has been approximated by using the vector-fitting tool. Thus, we obtain a behavioral model of the cable that is easy to convert to the time domain. Our approach has been validated by comparing the frequency and time responses of our model with those of a cascaded cell model, which is widely used in the literature.
Title of the Paper: Modelling TCP/IP Traffic of a Convergent Campus Wireless Network
Authors: Albert Espinal, Rebeca Estrada, Carlos Monsalve
Pages: 611-616
Abstract: With the deployment of new devices, protocols and applications, network traffic is changing to adapt to these trends. Therefore, it is necessary to analyze the impact over services and resources in data networks. Traffic classification of network is an important requirement to optimize traffic engineering and adequately provision quality of service. In this paper, we propose to analize the traffic in an university campus wireless network, throught the collected data by means of a novel sniffer that ensures the user data privacy. We focus in packet size. The results show that this traffic has a bimodal behaviuor with packets around 60 and 1300 bytes. It is also observed that IPv4 packets represents a big impact over IPv6, mainly TCP packets. And applications such as SSL and HTTP mark this trend. Numerical parameters for poisson distribution are presented in order to compare and simulate such traffic.
Title of the Paper: Cryptanalysis and Improvement of Barman et al.’s Secure Remote User Authentication Scheme
Authors: Chintan Patel, Nishant Doshi
Pages: 604-610
Abstract: In past people used to send the messages in plain text over the public channel. However, this protocol susceptible to various attacks like anyone can read the message, no proper authentication of sender and receiver, tampering, etc. Indeed, Remote User Authentication (RUA) is a technique is the key to solution of all these problems. RUA is scheme in which any remote user can not only authenticate but also transfer the messages over insecure medium to server even though the extraneous physical distance between them. With advancement in technology, the system moved to multi server in which user can connect to the any server and have the secure established session over public channel. Recently, in IEEE Access, Barman et al. proposed the multi-server remote user authentication scheme using the notion of fuzzy commitment and claimed to secure against various attack. However, in this paper we prove that the scheme due to Barman et al. is failed to provide the countermeasure against user anonymity, server anonymity, Stolen Verifier Attack and perfect forward secrecy attack, lack of level-based authentication. In this paper, we also propose the novel level dependent authentication scheme for the environment where user wants to get access of live data from the sensor via gateway device. At last, we provide informal security analysis for the proposed scheme. We conclude this paper with some future direction.
Title of the Paper: Analysis of Impact of the Visibility of Satellites of GNSS Systems on the Process of Digital Signals Processing SIS in the GNSS Receiver
Authors: Lucjan Setlak, Rafał Kowalik
Pages: 598-603
Abstract: The subject of this article is to conduct selected research in the field of analyzing the impact of visibility of GNSS satellites systems on the digital processing of SIS signals in the navigation system receiver. In the context of considering this problem, special attention has been paid to the main advantages of GNSS systems, where their functionality in applications requiring the best accuracy of the end user's position using several available satellite navigation systems brings a number of benefits. First of all, a larger number of satellites allows continuous and more reliable observation, which will translate into benefits for potential users. This is especially important in areas related to air navigation (e.g. during aircraft approach to landing). In addition, the signals additionally make it possible to increase the reliability of measurements, due to the greater number of observations available. The use of two or more satellite navigation systems also enables measurement control by comparing the autonomous solutions of each system separately. The article presents the results obtained from simulations assessing the availability of satellites in the area of the globe. A larger number of satellites also makes it possible to conduct observations in areas where due to the large obscuration of the horizon, GNSS satellite techniques have not been used so far, as exemplified by urbanized and mountainous areas. Based on the conducted analysis, performed simulations and obtained results, practical conclusions presented in the final part of the article were formulated.
Title of the Paper: FIR Filter Design for GNSS-synchronized Clock
Authors: Hongwei Wu, Duo Li, Sihong Gu
Pages: 593-597
Abstract: We investigate a scheme that utilizes the one-pulse-persecond (1PPS) signal of a Global Navigation Satellite System (GNSS) receiver as a reference to synchronize the local clock in the time synchronization system. The noise of the correct signal caused by jitter in the 1PPS signal is the main factor affecting the synchronization precise. To reduce the noise and improve the synchronization precise, a finite-impulse-response filter is proposed based on least-squares estimation and moving average. The experimental results indicate that the noise can be effectively reduced with this filter. The proposed scheme helps in realizing a synchronized clock for which the onesecond precision-time-protocol (PTP) variance is improved by two orders of magnitude and the kilo-second PTP variance is improved by one order of magnitude over those of GNSS receivers.
Title of the Paper: Usage of Linear Erasure Codes for Increasing Reliability and Efficiency of Information Delivery on the Internet
Authors: Nikolaos G. Bardis, Oleksandr P. Markovskyi, Kostiantyn V. Koliada
Pages: 585-592
Abstract: A new method of redundant packet formation for data transmission in global networks, as well as a technology of their usage for the retrieval of lost and damaged data packets is proposed. Technical justification of the proposed method is given. The developed technologies are illustrated via examples. It is proved that the proposed method can increase the reliability of data transmission in global networks.
Title of the Paper: The Close Enough Traveling Salesman Problem with Time Window
Authors: Soukaina Semami, Hamza Toulni, Abdeltif ElByed
Pages: 579-584
Abstract: The Close Enough Travelling Salesman Problem with Time Window (CETSP-TW) is a new variant of the well-known Traveling Salesman Problem with Time Window (TSPTW), where the salesman does not need to visit the exact location of each customer. The goal of the CETSP-TW problem is to find the minimum distance Hamiltonian cycle through a set of nodes, where the requirement is only to come close enough to the node neighborhood set in a predefined time window. In this paper, we propose a mathematical formulation for the CETSP-TW and we design a fast heuristic to solve the new variant. The proposed heuristic is incorporated with the TSPTW effective optimization algorithms to find a near optimal tour in a short computation time. Computational results are taken on TSPTW Library instances. Performance evaluation of the proposed heuristic is discussed in detail, and the best solutions obtained from a selected set of instances are reported.
Title of the Paper: Underwater Image Enhancement Method using Color Channel Regularization and Histogram Distribution for Underwater Vehicles AUVs and ROVs
Authors: Mohcine Boudhane, Ojars Balcers
Pages: 570-578
Abstract: In this article, we focus on the improvement of underwater images. The observation of this type of images shows that the rendering of ocean scenes is very variable. This one is indeed very dependent on the site of acquisition and chemical composition of the waters. The constitution of underwater images by a sensor is the result of the interaction of light with water and its constituents. Thus, while some images acquired in very pure waters are very clear, others taken in coastal areas are darker greenish and veiled. The objective of the work presented in this paper is to propose a method improving the visual rendering of underwater images using for the one and only knowledge the image itself. In this paper, we propose a method of image enhancement method based on image color channel regularization and noise reduction. The method is applied to different type of data. Experimental results show an improvement of the proposed approach compared to the-state-of-the-art methods.
Title of the Paper: Performance Analysis of Doubly Fed Induction Generator - A Magnetic Saturation Perspective
Authors: Julia Tholath Jose, Chattopadhyay Adhir Baran
Pages: 563-569
Abstract: Doubly fed induction generators (DFIGs) are commonly used in wind energy conversion systems due to their several advantages compared to fixed speed generator systems. Accurate prediction of steady-state and transient performance of doubly fed induction generator requires the proper representation of the magnetic saturation in the machine modeling. Two different magnetizing reactances are considered in this paper to study the effect of main flux saturation on doubly fed induction generator dynamic response. The results indicate that saturation has noticeable effect in determining the rotor current under steady state operating conditions. The limits of reactive power capability of the DFIG is also found to be affected by saturation in the over excited mode. Additionally, analytical evaluations also show that accurate prediction of steady state stability limits are influenced by the saturation. This paper aims at providing an analytical overview of the impact of magnetic saturation in the performance of doubly fed induction generator.
Title of the Paper: A Data-driven Subspace Identification Algorithm for Industrial 4-stage Evaporator
Authors: Xueshan Lin, Xiaosuo Luo
Pages: 558-562
Abstract: For the problem that it is difficult in building the accurate mechanism models of the industrial 4-stage evaporator, A new data-driven subspace identification algorithm is proposed. Firstly, a basic procedure of subspace identification method is introduced. Then, the state-space model, obtained from the PO-MOESP (Past Output MOESP, MOESP is one form of the subspace identification methods) algorithm, is regarded as the system model. Lastly, it is applied to the process simulation on the industrial 4-stage evaporator. Through comparisons of performance with a traditional subspace identification algorithm, the superiority of the proposed algorithm is illustrated.
Title of the Paper: Image Processing and the Spline Approximation of the Third and Fifth Order
Authors: I. G. Burova, I. I. Narbutovskikh, E. F. Muzafarova
Pages: 550-557
Abstract: Local splines and it’s cubic polynomial splines, which are used traditionally, are used in solving many image processing problems. In this paper, we consider the use of local quadratic polynomial and trigonometric splines of the third order of approximation, as well as polynomial splines of the fifth order of approximation for image processing. The paper proposes an algorithm to increase the image (or its part) without loss of quality using local polynomial splines of the third and fifth order of approximation and trigonometric splines of the third order of approximation. This paper also developed an algorithm for compressing and restoring images using the considered splines. The theoretical background and results of numerical experiments are presented.
Title of the Paper: The Software Model of the "Speedy’O’Brain" Neuro-Feedback Videogame
Authors: Luigi Bianchi
Pages: 543-549
Abstract: In this manuscript, some design aspects of the Speedy’O’Brain neurofeedback videogame have been outlined. It is built on top of BF++, a framework for building bio-feedback and Brain-Computer Interfaces. It makes large use of object-oriented programming techniques and the adoption of a well-defined functional model is the key for making it easily adaptable and customizable, as herein described. The chosen programming language, C++, the compatibility with a widely used software platform and its free availability, makes the proposed solution a valuable starting point for building neurofeedback applications.
Title of the Paper: SSVEP based Brain-Computer Interfaces for 2-D Analog-like Control: Is it Possible?
Authors: Raffaele Ferrante, Luigi Bianchi
Pages: 537-542
Abstract: In this study, we propose a new SSVEP-based BCI approach for 2D cursor control. Our goal is to allow a subject to gaze at a point on a PC screen and move a cursor on it, not fixing a flickering LED but gazing between 4 LEDs. The result is a dependent BCI which provides a mean ITR of 21 bit/min (SD: 3 bit/min). Data were collected using a wireless electroencephalograph with just two dry electrodes (O1, O2) and analyses were performed offline.
Title of the Paper: A Method for Performance Analysis of Grayscale Image Denoising Techniques based on the Wavelet Transform
Authors: Fabrizio Russo
Pages: 530-536
Abstract: Wavelet transform-based filters are widely adopted for noise removal from grayscale digital images because these techniques can effectively combine cancellation of noise and preservation of image details. The aim of this paper is to provide accurate quantitative evaluations of these key filtering features without the limitations (and the errors) of current metrics. For the first time, the exact amounts of filtering distortion and unfiltered noise produced by a wavelet-based denoising filter are formally computed resorting to the filter theory only. Computer simulations are reported in the paper in order to show how residual noise and filtering distortion affect the results at the pixel level. Comparisons with current metrics are also provided.
Title of the Paper: A Scheme for Identifying and Correcting the Network Weaknesses by Incorporating Bandwidth Measurements
Authors: Awni Itradat, Abdullah Mnayyes
Pages: 520-529
Abstract: Measurements of the network bandwidth is a fundamental issue in the area of networking analysis. Hence, a great deal of research should be conducted for evaluating and understanding of network measurements since it is crucial and useful in many areas of enhancing network performance including; protocol development, evaluate network changes and discover of the network problems. This paper is concerned with the analysis of bandwidth measurements A scheme for detecting and identifying of network problems by measuring the characteristics of network bandwidth is proposed. The proposed approach is applied on the network infrastructure at the Hashemite University-Jordan (HU) as a case study. The network bandwidth is analyzed in terms of upload/download measurements where these two variables are extracted from the main university network gateway. The results are incorporated in the proposed approach to identify the university network problems. Furthermore, a formula describing internet traffic and the other sources of traffic is introduced and proved by using the outcome of monitoring the bandwidth on firewall gateway. The presented scheme is shown for its ability to, successfully, identifying and accordingly correcting the main weaknesses and shortcomings of the targeted network.
Title of the Paper: A Monolithic High-Voltage Driver Circuit based on a Dickson Charge Pump for MEMS Actuator Applications
Authors: Hui Peng, Herbert De Pauw, Pieter Bauwens, Jan Doutreloigne
Pages: 516-519
Abstract: A monolithic high-voltage driver circuit is proposed for use in MEMS applications. To improve the efficiency of the driver circuit, an advanced charge recycling strategy and finger capacitor structure are implemented in the Dickson charge pump which acts as the high-voltage generator and can boost the output voltage to 100.9 V from a 3 V power supply. The proposed driver circuit offers an output voltage which can linearly sweep from 0 V to 100.9 V under zero-load conditions. By means of the feedback circuit, the driver circuit also can self-adjust the clock frequency to minimize the voltage variation caused by changes in the load conditions.
Title of the Paper: Adapted IMEX Numerical Methods for Reaction-Diffusion Problems
Authors: Raffaele D’Ambrosio, Martina Moccaldi, Beatrice Paternoster
Pages: 507-515
Abstract: The treatise is focused on the numerical solution of -! reaction-diffusion problems, by means of a suitably adapted method of lines. Due to the non linearity of the vector field and the oscillatory behaviour of the solution, we propose to combine a spatial semidiscretization of the operator through trigonometrically fitted finite differences with an IMEX integration in time. Accuracy and stability properties of the overall numerical scheme are proved and experiments confirming the effectiveness of the approach are also provided.
Title of the Paper: Construction of Exponentially Fitted Explicit Peer Methods
Authors: Dajana Conte, Beatrice Paternoster, Leila Moradi, Fakhrodin Mohammadi
Pages: 501-506
Abstract: It is the purpose of this work to present exponentially fitted explicit two-step peer methods for the numerical integration of ordinary differential equations exhibiting oscillatory solution. We will use a problem oriented approach based on exponential fitting, in order to exploit a-priori known information about the qualitative behavior of the solution. Moreover the constructed methods have inherent method parallelism, therefore they are suitable for the numerical solution of high dimension ordinary differential systems arising for example in the semi-discretization in space of partial differential equations. The construction of methods with 2 and 3 stages is provided. Numerical tests show that the error of EF peer methods is smaller with respect to that of classical peer methods, as the frequency of oscillation increases, thus confirming the effectiveness of this problem-oriented approach.
Title of the Paper: Power Quality Investigation on a Ship’s Power System
Authors: Nikolay Djagarov, Zhivko Grozdev, Milen Bonev, Dimitar Tsvetanov, Georgi Enchev, Vencislav Varbev, Gabriel Predoi, Julia Djagarova
Pages: 494-500
Abstract: The ship’s power systems have limited power. It consists of separate consumers with power commensurable with generators’ power. Thus, the powerful consumers worsen the quality of power and especially strong is this worsening in the presence of electric propulsion power system. In this article, it is presented mathematical model of four node ship’s power system, including four generators, electric propulsion system based on induction propulsion motor, supplied by frequency’s converter. With the use of the models are investigated different working regimes of propulsion system and ship’s power system. Some of received results are presented in the article including the frequency’s spectrum of regime’s parameters.
Title of the Paper: Design and Implementation of ECC Module based on BCH Code in SSD
Authors: Yifei Niu, Songyan Liu, Yanlin Chen, Xiaowen Wang, Huan Liu
Pages: 488-493
Abstract: Error Correction Code (ECC) is an effective method to ensure the correctness of data stored in Solid State Disk (SSD). At present, Bose, Chaudhuri, Hocquenghem (BCH) code is the most widely used in ECC. However, how to improve performance of encoding and decoding has always been a problem. A new pipeline operation is proposed by this paper to improve the performance of ECC module based on BCH code in SSD. Pipeline operation is used in I/O transmission, and the ECC process submerges in pipeline. The 64-bit parallel architecture is adopted to complete the encoding. The 3-stage pipeline structure is adopted in decoding. Therefore, the efficiency of encoding and decoding is improved and the latency is reduced. ECC module is able to support multiple error correction capabilities. The capability is configurable to 24-bit, 40-bit, and 56-bit for 512Bytes. The data throughput of the ECC module can reach 7.68Gbps.
Title of the Paper: Hidden Messages with Pigments in Dual Print for a Visual and Infrared Spectrum
Authors: Vilko Žiljak, Lidija Tepeš Golubić, Jana Žiljak Gršić, Denis Jurečić
Pages: 484-487
Abstract: We are demonstrating an innovation in safety technology by solving dual information for a visual and Near InfraRed spectrum. We have hidden the messages in day-to-day life situations, in offices, halls, classrooms, on the theater stage. NIR technology enables us to use double ZRGB cameras to hide and recognize the wanted information realized in a few different media. What is invisible to the naked eye becomes visible with a new visual procedure of double recording. We are publishing new recipes for pigment mixing for painting on canvas and paper materials. Light absorption properties are being respected in two areas through the twin dyes theory. The results are being demonstrated as safety print on clothes, documents and protection of artwork in painting.
Title of the Paper: Stability Improvement of Power System using a Coordinated Systems FACTS-PSS, FACTS-MBPSS
Authors: Soufiane Lemdani, Mohammed Laouer, Ahmed Allali
Pages: 477-483
Abstract: This paper focuses on the significant of FACTS-PSS and FACTS-MBPSS to improve the transient stability of power system in various abnormal conditions. Simulations are carried out in Matlab/SPS environment for the two-area multi-machines power system model with SVC, STATCOM, SSSC and UPFC to analyze the effects of the proposed FACTS devices on transient stability of the power system. The performance of SVC, SSSC, STATCOM & UPFC is compared from each other. In comparative result UPFC, STATCOM, SSSC gives the better result than SVC in three phase fault, and UPFC is the most performed one .So for the improvement of transient stability UPFC & STATCOM is better than SVC and SSSC. The simulation results demonstrate the effectiveness and robustness of the proposed coordination FACTS-PSS and FACTSMBPSS on transient stability improvement in the high power system.
Title of the Paper: Design of 3.1-10.6 GHz CMOS UWB LNA using Current Reuse Technique
Authors: Kusuma M. S., S. Shanthala, Cyril Prasanna Raj P.
Pages: 472-476
Abstract: A wideband Low Noise Amplifier (LNA) for Ultra-Wide Band (UWB) applications based on current reuse technique is proposed. The noise from the matching device is greatly suppressed over the desired UWB band by using the proposed circuit and design methodology. The wideband input matching is achieved by the combination of degenerative parallel LC circuit and resistive feedback in shunt-shunt connection. The cascaded LC technique is used to achieve the output matching. Simulated in 90 nm BSIM3 CMOS process, the LNA achieves peak power gain (S21) of 18.621 dB at 4 GHz and high-flat gain of 18.0 ± 0.5 dB in 3.1 to 10.6 GHz frequency range. The flat-low noise figure of 2.6 ± 0.2 dB is attained in UWB frequency of interest. The input return loss (S11) is less than -13 dB at 8 GHz and less than -10 dB in (5-11) GHz. The output return loss (S22) is less than -6 dB in the band of interest. The reverse isolation (S12) is lower than -25 dB. The IIP3 is obtained as -7 dBm. The Gain ripple of 1.57 dB is achieved through the entire band. The proposed LNA draws 11 mW power from 1.0 V supply.
Title of the Paper: Indicating Asynchronous Array Multipliers
Authors: P. Balasubramanian, D. L. Maskell
Pages: 464-471
Abstract: Multiplication is an important arithmetic operation that is frequently encountered in microprocessing and digital signal processing applications, and multiplication is physically realized using a multiplier. This paper discusses the physical implementation of many indicating asynchronous array multipliers, which are inherently elastic and modular and are robust to timing, process and parametric variations. We consider the physical realization of many indicating asynchronous array multipliers using a 32/28nm CMOS technology. The weak-indication array multipliers comprise strong-indication or weak-indication full adders, and strong-indication 2-input AND functions to realize the partial products. The multipliers were synthesized in a semi-custom ASIC design style using standard library cells including a custom-designed 2-input C-element. 4×4 and 8×8 multiplication operations were considered for the physical implementations. The 4-phase return-to-zero (RTZ) and the 4-phase return-to-one (RTO) handshake protocols were utilized for data communication, and the delay-insensitive dual-rail code was used for data encoding. Among several weak-indication array multipliers, a weak-indication array multiplier utilizing a biased weak-indication full adder and the strong-indication 2-input AND function is found to have reduced cycle time and power-cycle time product with respect to RTZ and RTO handshaking for 4×4 and 8×8 multiplications. Further, the 4-phase RTO handshaking is found to be preferable to the 4-phase RTZ handshaking for achieving enhanced optimizations of the design metrics.
Title of the Paper: Application of Discrete wavelet transform and Back-propagation Neural Network for Internal and External Fault Classification in Transformer
Authors: Atthapol Ngaopitakkul, Chaiyan Jettanasen, Dimas Anton Asfani, Yulistya Negara
Pages: 458-463
Abstract: This paper proposes an algorithm for internal and external fault discrimination in the three-phase two-winding power transformer based on a combination of discrete wavelet transform (DWT) and back-propagation neural network (BPNN). The maximum ratio obtained from division algorithm between DWT coefficient value of differential current and zero sequence component in post-fault condition differential current signals is employed as an input for the training pattern for BPNN in order to discriminate between internal fault and external short circuit. The proposed algorithm performance has been test using various cases studies based on Thailand electricity transmission and distribution systems data. Results show that the proposed technique can achieved satisfy accuracy for internal and external fault detection and discrimination in the considered system. This methodology and result can be used to further improve protection system of power transformer in the future.
Title of the Paper: Spectral Analysis of Gold-type Pseudo-random Codes in GNSS Systems
Authors: Lucjan Setlak, Rafał Kowalik
Pages: 450-457
Abstract: The pseudo-random codes, including Gold's codes, are used in GNSS systems; they are characterized by good synchronization and the simplicity of their generation. However, the disadvantage of these pseudo-random codes is poor asynchronization. With this in mind, an algorithm improving their properties was implemented in the Gold's code structure, which translated into their performance in CDMA code multiple access. The article discusses the method of production of Gold sequence and presents their basic properties along with the ways of creating pseudo-random codes. Their spectral analysis was carried out on the example of codes transmitted in GALILEO system signals. On the basis of the waveform of individual components included in the Gold's sequence, the spectral power density was determined and its properties were discussed. On this basis, it was found that Gold's codes are characterized by better frequency performance, increased use of the transmitted signal power and better properties for disturbances resulting from the presence of noise in the AWGN (Additive White Gaussian Noise) radio channel. This article was prepared on the basis of studies of correlation properties between the sequence of Gold's codes and the usual sequences of pseudo-noise codes. The final part of the paper presents the simulation results obtained in the Matlab/Simulink environment and practical conclusions were formulated.
Title of the Paper: Dynamics and Circuit Emulation of an Extreme Multistable System of Two Linear and One Nonlinear Coupled Oscillators with Hidden Attractors
Authors: Jamal-Odysseas Maaita, Efthymia Meletlidou, Christos Volos
Pages: 443-449
Abstract: A system of two linear oscillators coupled to a damped nonlinear oscillator that has multiple stability and hidden chaotic attractors, is studied in this work. The unperturbed Hamiltonian part contains, apart from the quadratic harmonic oscillations, a nonlinear fourth order term with extra linear part with respect to the first two oscillators. As a consequence the proposed system has only one equilibrium point that is non-hyperbolic. Also, the chaotic attractors of the full system are hidden i.e. their basin of attraction does not have any unstable equilibrium point. Furthermore, the electronic realization of the system is presented and its dynamical behavior is studied in order to confirm the feasibility of the theoretical model.
Title of the Paper: Spectral Identification of Nonlinear System
Authors: A. Brouri, M. Benyassi
Pages: 438-442
Abstract: Presently determination approach of nonlinear system is suggested. The studied nonlinear system can be described by a linear element followed by a system nonlinearity. This type of nonlinear systems is called Wiener models. In the proposed study, a spectral analysis is used to determine the parameters of the nonlinear systems. The modelling and determination of system parameters is based upon sample signals. Furthermore, the algorithm is easy to implement. The nonlinear element is not necessary polynomial function, but it is supposed to be continuous and smooth in a small interval. In this work, a spectral method is developed allowing the estimates of the complex frequency gain as well as the estimates of nonlinear block parameters.
Title of the Paper: Aircraft Image De-noising and Identification using Deep Neural Network
Authors: Mridusmita Sharma, Kandarpa Kumar Sarma, Nikos Mastorakis
Pages: 430-437
Abstract: Images corrupted during transmission and acquisi-tion required de-noising for proper interpretation and reliable recognition. Though related traditional methods are known to be reliable in de-noising and identification, learning aided approaches have become popular recently. Subsequent, deep learning has been accepted to be an efficient mechanism and is found to be increasingly becoming integral element for a range of image processing and computer vision applications. This work deals with the formulation of a system based on Auto-encoder (AE) and Stacked Auto-encoder (SAE) configured for de-noising of certain military aircrafts as part of an automatic target recognition (ASR) system. The ASR is based on a class of classifiers that include the soft-max layer, conventional Artificial Neural Network (ANN) and Deep Neural Network (DNN) of the type convolutional neural network (CNN). The sample set includes five image types corrupted with Gaussian, Poisson, Speckle, Salt and Pepper noise for de-noising by AE and SAE topologies and identification by the CNN. Further, the image sets are subjected to signal to noise ratio (SNR) variation between -3 to 20 dB which increases the data volume for training which is necessary to make the system robust. Despite higher computational latency, the efficiency of the proposed approach is justified by the experimental results.
Title of the Paper: Local splines of the Second and Third Order, Complex-valued Splines and Image Processing
Authors: I. G. Burova, E. F. Muzafarova, I. I. Narbutovskikh
Pages: 419-429
Abstract: This paper is devoted to the local complex-valued spline interpolation in a circle and image processing using local polynomial and non-polynomial splines. We consider local complex-valued spline interpolation, constructed by using tensor product. For constructing the tensor product we use local basis splines of two variables: a radial variable and an angular variable. The approximation is constructed separately in each elementary segment, formed by two arcs and two line segments. For the approximation of a complex-valued function we use the values of the function in several nodes near this elementary segment and the basis splines. The order of the approximation depends on the properties of splines of one variable which we use in the tensor product. In this paper we suggest using local exponential, local trigonometrical and local polynomial splines of the second and third order of approximation. The local spline interpolation is the most convenient for the approximation and visualization of functions and they may be applied to solving various problems. In this paper we focus on the problem of enlarging images using the local splines.
Title of the Paper: Parallel Image Segmentation using Map-Reduce Framework
Authors: Mohammad Nishat Akhtar, Junita Mohamad Saleh, Elmi Abu Bakar, Ayub Ahmed Janvekar
Pages: 408-418
Abstract: As a result of the expansive information set size of high-resolution image data, most desktop workstations do not have sufficient configurable scheduling to perform image processing assignments in a convenient manner due to which the image processing tasks are meant to be divided into straight forward assignments. The processing power of any regular computing machine in this way becomes a severe bottleneck with respect to high execution time and low throughput. Many image processing tasks exhibit a high level of information region and parallelism and map quite readily to a parallel computing system. This paper shows an alternative to sequential image processing by introducing Map-Reduce technique to segment multiple images with the help of Hadoop framework. The evaluation of the proposed scheduling algorithm is done by implementing parallel image segmentation algorithm to detect lung tumour for up to 1 GB size of CT image dataset. The results have shown improved performance with parallel image segmentation when compared to sequential image segmentation method particularly when data capacity reaches a particular threshold. This is because the process of parallel image processing has been able to exploit the multi-cores thread level parallelism which ultimately gave the CPU usage with octacores up to 96%, hence reducing the task execution time up to approximately 1.6 times compared with the sequential style of image segmentation using Map-Reduce algorithm implemented with FIFO scheduler. The proposed parallel image segmentation design has shown to be useful for researchers at performing bulk image segmentation in parallel, which can save tremendous execution time.
Title of the Paper: Intelligent Dynamic Wireless Charging System for Electric Vehicle
Authors: Ning Wang, Qingxin Yang, Minpeng Cai, Xiaodong Bai
Pages: 399-407
Abstract: The paper proposes a dynamic wireless charging system for electric vehicle that provides convenience during the charging process. Multiple unipolar rectangular coils are used as the transmitters. Finite-element analysis of the dynamic wireless charging system is performed using COMSOL. The transmitters and receiver size are changed to analyzed the variation of the coupling coefficient. STM32 microprocessor is utilized, and the system functions design is provided which considers practical application. A service platform for dynamic wireless charging based on the IOV is constructed, which includes mobile phone client and network server. Google map is used to realize the functions, such as location, charging road display, path planning, navigation, start or finish charging request, payment. MySQL database is utilized to save the information of charging road and user data. A prototype is constructed according to the designed coupling structure and system parameters. Experiment results indicate that the service platform achieves the functions such as accurate positioning of EV, finding the wireless charging roads nearby, path planning, charging coil switching, billing.
Title of the Paper: Automatic Diagnosis System for Heart Disorder using ESG Peak Recognition with Ranked Features Selection
Authors: Mohammad Subhi Al-Batah
Pages: 391-398
Abstract: Electrocardiography is used in cardiology to record heart’s electrical signals over time. An accurate ECG beat classification using high efficient system is a challenging problem. Thus, this paper proposes an automatic system to analyze ECG signals focusing on real peaks recognition. The real peaks: P, Q, R, S, and T contain useful information about the nature of disease affecting the heart. The proposed system includes four main modules: denoising module, features extraction module, features selection module, and classifier module. In the denoising module, ECG signals are filtered, digitized and finally the real peaks are identified. In the feature extraction module, five waveform features; amplitude, duration, pre-gradient, post-gradient and polarity-degree are extracted. In the feature selection module, eight attribute evaluators are applied; Correlation-based Feature Selection, Classifier Attribute Evaluator, Correlation Attribute Evaluator, Gain Ratio, Info Gain, OneR, ReliefF, and Symmetrical Uncertainty. As the classifier module, eleven classifiers are investigated; they are: Decision Table, JRip, OneR, PART, Chi-square Automatic Interaction Detector (CHAID), Exhaustive CHAID, Classification and Regression Tree (CRT), Quick-Unbiased-Efficient Statistical Tree (QUEST), Linear Discriminant Analysis (LDA), Radial Basis Function (RBF), and Multilayer Perceptron (MLP). Classifiers are compared with each other using 1600 ECG signals and the performance is evaluated using stratified ten-fold cross-validation. The results prove that the proposed method can achieve high classification accuracy and has a promising potential application in the automatic diagnosis of heart diseases.
Title of the Paper: Method of Modeling of the Control Systems Adapted to the Skills Production Systems
Authors: Abderrahman Rhouzali, Benayad Nsiri, Mounia Miyara, Mohamed Abid
Pages: 385-390
Abstract: Nowadays, the production systems of skills are considered as quality goods and services production systems at the level of all the practice, rules, tools and methods that constitute the industrial culture of the company. In this perspective, our work aims to show that the methods and tools of systems engineering commonly used in industrial production systems are applicable in the field of skills production systems. The present paper focuses on the study, the understanding and modeling the process of skills production system. Through this work, we seek to use a generic GRAI grid to propose a mapping process for the skills production systems and aims at formalizing a reference model for a control system adapted to the skills production systems, based on coordinated piloting structures.
Title of the Paper: Novel Digital Integrators and Differentiators using Fractional Delay − A Biomedical Application
Authors: Tirumala Krishna Batttula
Pages: 379-384
Abstract: This paper deals with application of fractional delay to IIR type digital integrators. A study of various digital integrators is presented. Often applications in controls, wave-shaping, oscillators and communications require a constant -900 phase for integrators. When the design neglects the phase, a phase equalizer is often needed to compensate for the phase error or a phase lock loop should be added. In this paper an attempt is made to study about the variation of both magnitude and phase angle of digital integrators with the application of fractional delay. The differentiators have performed well at low frequencies. The designed differentiators are compared by taking QRS detection as an application.
Title of the Paper: Real Time PI Speed Control of a Series DC Motor
Authors: Jesús U. Liceaga-Castro, Irma I. Siller-Alcalá
Pages: 373-378
Abstract: The design and implementation of a speed control system for a series DC motor is presented. The controller is the classical PI controller designed based on a linear approximation or model of the series DC motor. The control system also includes an "anti-windup" scheme in order to limit the effects of saturation due to limitations in voltage supply by power driver. Real time experimental results are included in order to support the proposal here presented.
Title of the Paper: Design of a Low Cost LIDAR Scanning System for Didactical Applications
Authors: L. Olcomendy, F. Santos-Cessac, Ph. Dondon
Pages: 366-372
Abstract: With the permanent arrival of new technologies, electronic teaching consists nowadays of numerous updated fields and topics. However, connections and footpaths between them must be done by students. In that way, transdisciplinary projects were started in our electronic institute while respecting severe budget constraints. As example, we present here the complete design of a low cost scanning system for didactical applications. The design includes a LIDAR sensor, motor control system, a processing board with embedded open source software for processing data and generating a formatted VRML file able to be displayed with a 3D viewer, for a 3 dimensions visualization of the scanned environment. General context is highlighted. Global design and results are detailed. Lastly, pro and con’s as well didactical and financial aspects are discussed within the context of global economic difficulties and budget reduction for education.
Title of the Paper: Network Controller Design and Analysis based on Fuzzy Control Theory
Authors: Liping Lu
Pages: 358-365
Abstract: In order to improve the stability and control performance of network control system, this paper establishes the model of network control system by using Simulink module and TrueTime toolbox, designs network control system with time delay, analyzes different control algorithms of controller, obtains the output signal of network control system by using PID control algorithm, acquires the output signal of network control system by using fuzzy PID control algorithm, gets the output signal of network control system by using fuzzy T-S PID control algorithm; Through calculation and analysis, we find that when network control system has longer time delay, the fuzzy PID control algorithm and the fuzzy T-S PID control algorithm have better adaptability and control effect, the output signal of network control system by using fuzzy T-S PID control algorithm and fuzzy PID control algorithm have smaller overshoot and shorter adjustment time, and reaches quickly stability, but the output signal of network control system by using PID control algorithm has bigger overshoot and longer adjustment time or even instability, the experimental result shows that the fuzzy T-S PID control algorithm and the fuzzy PID control algorithm can compensate time delay and improve the stability of network control system.
Title of the Paper: The Conditional Connectivity and Restricted Connectivity of ECQ(s,t)
Authors: Chen Guo, Leng Ming, Zhifang Xiao, Shou Peng
Pages: 352-357
Abstract: The exchanged crossed cube ECQ(s,t) is a novel interconnection network which has better properties than other variations of hypercube, such as crossed cube and exchanged hypercube, in terms of diameter, number of links and cost factor. In order to clarify the fault-tolerant ability of exchanged crossed cube and lay a foundation for the further study, in this paper, we study the conditional connectivity and restricted connectivity of ECQ(s,t). By exploring the topological of ECQ(s,t), we show several topological properties of ECQ(s,t). Based on these properties, we determine that the conditional connectivity and restricted connectivity of ECQ(s,t) are 2s, where t≥s>2. The research results of this paper will provide the key parameters for the reliability evaluation of ECQ(s,t) in the future. So it has important theoretical significance and application value.
Title of the Paper: Kalman Filter Method based Vehicle Mass Estimation for Automobile Suspension System
Authors: Wanmin Li, Yan Wang, Yaping Zhang, Yunzi Yang
Pages: 344-351
Abstract: For the issue of inconstant sprung mass caused by passengers and freight in practical application, a combination method of Kalman filter and recursive least square is adopted in this paper. With sprung mass acceleration, dynamic deflection and wheel vertical acceleration, the sprung mass velocity and wheel vertical velocity are estimated using forgetting factor based recursive least square method. Corresponding to different road grade, accuracy effected by the process noise covariance and measurement noise covariance is researched. As to the steering stability effected by sprung mass estimation, the yaw velocity using sprung mass estimation is compared to actual yaw velocity. The simulation results show that the sprung mass and the estimation can be identified precisely with process noise and measurement noise selected appropriately according to the road grade. The estimated sprung mass parameters are feasible for steering stability analysis.
Title of the Paper: Cooperative Detection of CMMB Signals based on Scattered Pilots and Clustering in Cognitive Radio Networks
Authors: Huiheng Liu, Zhengqiang Wang
Pages: 336-343
Abstract: China multimedia mobile broadcasting (CMMB) is a mobile television and multimedia standard specified in China. CMMB provides television services for mobile terminals. In cognitive radio networks (CRNs), the secondary users (SUs) can utilize the idle spectrums of CMMB primary user (PU) when CMMB signal is absent. This paper explores the cyclostationarity of CMMB signals and spectrum sensing schemes in CRNs. We propose a scattered pilots (SP) local detection scheme based on the first order lag filter. However independent detection is usually influenced by the shrinkage and shadowing problems, etc. Then a cooperative detection algorithm for CMMB signals based on scattered pilots and weighted-clustering (SPWC) is proposed. First, the SUs are classified into a few clusters according to the distances between SUs and the fusion center (FC). Second, Each SU in clusters makes a local decision based on the SP local detection scheme and sends the decision result to a cluster head. Then the cluster head will make a cluster-decision and send the result to the FC. Finally, the FC makes a final decision based on the distance weighted cluster-decisions. Simulation results show that the proposed SPWC cooperative detection algorithm can detect the spectrum holes of CMMB signals effectively and easily.
Title of the Paper: Anti-noise Algorithm based on Time Domain Superposition in G3-PLC System
Authors: Li Zhao, Xiaolu Jiao, Tong Zhu, Feng Zhang
Pages: 328-335
Abstract: Because of the characteristics of multipath and fading, especially in the case of serious noise interference, G3-Power Line Communication (PLC) standards cannot satisfy the high quality communication requirements. In order to improve the reliability of power line communication, time domain superposition coding module based on the G3-PLC standard is introduced in this paper. By appending time domain superposition coding to the baseband OFDM signal, system capacity against multipath and fading can be improved. Secondly, simulation is carried out in Gaussian channel and multipath channel environment respectively. The results demonstrate that the PLC platform with time domain superposition coding module can obtain about 3~4dB gain in Gaussian channel and 4dB gain in multipath channel. Finally, in order to further intuitively represent the performance of time domain superposition coding algorithm, a set of pictures are used as the information that were transmitted from the power line. The information is coded according to G3-PLC standard and time domain superposition coding separately. The experimental results show that the time domain superposition coding algorithm can realize high-quality communication when the power line is seriously disturbed by noise.
Title of the Paper: A Formal Method of Secrecy and Authentication Analysis for Ad-hoc Secure Routing Protocol
Authors: Lei Yu, Yuyan Guo, Mingming Jiang
Pages: 320-327
Abstract: Ideals and honesty theory is the branch of the strand space model theory. The concept of ideal can not only strictly define attacker's ability, but also give precise definition of protocol security attribute. The theory of honesty reduces the complexity of formal analysis for secure protocol, and makes the formal analysis more scientific and rigorous. Authentication and secrecy are the main security attributes of Ad-hoc secure routing protocol. Because the Ad-hoc network has the characteristics of no center, mobile and open, the formal description of the network environment and security attribute of Ad-hoc security routing protocol is more complex. Because of the lack of formalized theory in the structure and security attribute analysis of message components, the non-formal phenomenon exists in the analysis of security protocols using ideal and honesty theory. In this paper, the formal analysis theory of the structural features and security attributes of the message component is perfected, and the network environment and the security attribute of the secure routing protocol are formally defined by the ideal and honesty theory. Based on the formal analysis of the SGSR secure routing protocol, a more rigorous and effective formal analysis method for security and authentication of Ad-hoc security routing protocol is given.
Title of the Paper: A Method of Forest-Fire Image Recognition based on AdaBoost-BP Algorithm
Authors: Dehong Ding, Sisi Zhu
Pages: 312-319
Abstract: In view of the shortcomings of the existing forest flame recognition technology, in order to further improve and perfect some problems of the flame image recognition technology, provide guidance and technical support for fire detection products. The research is focus on flame information of physical characteristics, which combines with image processing techniques and comes up to a recognition way of forest flame that character of highlight area based on image and a flame recognition method of BP neural network for forest fire based on AdaBoost. AdaBoost-BP method uses the BP neural network as the basic weak classifier, and then updates it through the specific algorithm, and constructs a combination of strong classifier. Those methods are mainly extracting Color, Area and Circularity of pretreatment image, then output AdaBoost-BP neural network learning to realize firework recognition. Using single algorithms and single characteristic to analyze, easily led to accuracy is not high. It not only can make up for that shortcoming but also eliminate interference interruption, and improves efficiency of image recognition for forest.The recognition rate is about 94%, and the training time is about 250 times to achieve convergence. The computation speed is only 0.01292 seconds.
Title of the Paper: Evaluation and Health Status Prediction Method of Beer Filling Production Line based on Data Mining Technology
Authors: Guo-cheng Niu, Zhen Hu
Pages: 306-311
Abstract: Considering the current situation that the system Health index of beer filling production line is hard to assess, quantify and predict, a prediction method of system health status based on the support vector machine(SVM) is proposed. Based on the principle of information entropy, through the big data analysis method, this paper quantitatively analyzes the behavior patterns and correlations between the internal attributes of the system, and calculates the real-time Health index of the production line system. The SVM method is used to predict the future bearing capacity of the production line, and the cross validation method and genetic algorithm are used to optimize the parameters (c and g) of SVM, and to construct the prediction model of Health index of filling production line. Finally, the simulation experiment is made to verify this method. The results show that this method is correct and feasible. By using this model, the prediction accuracy of the Health index of the filling production line can reach 0.9254, which can better guide production process improvement, equipment maintenance and production scheduling, and provide strategic support for scientific assessment and energy saving optimization of filling production line.
Title of the Paper: Rotational Speed based Power Curve Model of Wind Turbine
Authors: Navjot Singh Sandhu, Saurabh Chanana
Pages: 296-305
Abstract: The power curve of a wind turbine is one of its major characteristics and is used to compute its power output. Estimation of power output and energy yield of a wind turbine is required for performance analysis, planned economical operation and energy management. All this require power curve data and such data as supplied by the manufacturer is neither site-specific nor it accounts the wear and tear of the turbine. It can be used only if a wind turbine is operated as per its design specifications. Hence there is a need to develop the power curve model of a wind turbine which should include the effects of environmental changes such as temperature, pressure, and humidity etc. Moreover, it should include the effects of any wear and tear of the turbine on its output. Keeping it in view, in this paper, a new rotational speed based power curve model is proposed. Proposed model needs only site-specific rotational speed data of the turbine corresponding to its cut-in and rated wind speed. This makes the model accountable to climatic changes and mechanical issues of the wind turbine. Comparative analysis as presented in the paper proves the accuracy of proposed power curve model.
Title of the Paper: A New Environment Parameter Monitoring System based on ZigBee Protocol
Authors: Chaoyi Zhang, Yili Zheng, Rongqiao Chen
Pages: 289-295
Abstract: This paper designed a new environment parameter monitoring system which based on Zigbee protocol, the hardware includes Zigbee wireless transmission circuit and control function of peripheral circuits, the software includes coordinator, router and host computer program, and it can realize remote transmission system to achieve environment temperature, humidity and other environment parameters. The system debugging and testing were carried out in the test field, system reliability was verified through a series experiments, such as antenna height test and multi-hop network experiment. The results show that this system achieves the purpose of real-time monitoring environment parameters, reliable network transmission, monitoring area good coverage, combined with different monitoring requirements, this system can be stable and reliable operation under the condition of obstacle shelter and bad weather conditions.
Title of the Paper: Bayesian Network Learning based on Characteristic Confidence Guidance Under Large Data Sets
Authors: Cai Yang
Pages: 281-288
Abstract: At present, the accuracy of many algorithms for Bayesian network learning under large data sets is not high. In order to solve this problem, a Bayesian network structure learning algorithm for the feature confidence guidance under the large data sets is proposed. The algorithm uses the distributed learning and the incremental learning method. At the same time, the improved SEM algorithm is used to fill the missing data, enhance the accuracy of each batch of data learning, improve the quality of the final network model. The experimental results show that the proposed algorithm has better quality of learning results, and solves the problem of insufficient memory space. The experiment of network traffic prediction shows that the proposed algorithm has a high accuracy rate of classification prediction.
Title of the Paper: Application of CSA - BP Neural Network in Gearbox Fault Diagnosis
Authors: Lijun Wang, Shengfei Ji, Nanyang Ji
Pages: 273-280
Abstract: Cuckoo Search Algorithm as a new group intelligent optimization algorithm is developed in recent years. In this paper, the algorithm of cuckoo search optimization BP neural network is applied to the gearbox fault diagnosis for the first time. The operating states of the gearbox include normal operation, gear missing teeth, tooth surface wear and gear eccentricity. Meanwhile, in order to reduce the interference of noise on the fault identification，the collected vibration signal is denoised by using the decomposition and reconstruction to wavelet packet. The parameters of BP neural network are optimized by the Cuckoo Search Algorithm and used to determine the gearbox fault identification. Finally, the recognition results are compared with the results of GA - BP neural network and PSO - BP neural network. The results show that this algorithm can identify the status of each condition and achieve diagnostic recognition in gearbox fault diagnosis. Therefore, it not only plays a key role in reducing property damage and personal injury caused by equipment damage, but also has very important significance for its research in other fault areas.
Title of the Paper: A Pseudo Entropy based Self-Organizing Neural Network for Nonlinear System
Authors: Xin Feng, Jiangming Kan
Pages: 266-272
Abstract: The structure of feed forward neural networks strongly influences their nonlinear function approximation results. This paper proposes a self-organizing neural network that can automatically adjust the number of hidden layers and alter the neurons of each hidden layer in accordance with training data. To ascertain the optimal neural network structure, the pseudo entropy of each hidden layer determines the number of neurons it contains, and the reduced mean square error of the entire neural network determines the number of hidden layers. A tuning optimization algorithm tunes the parameter weights and biases. Experimental results show that the proposed neural network outperforms the state-of-the art feed forward neural network and the proposed self-organizing algorithm is very effective for nonlinear function approximation.
Title of the Paper: Blind Estimation of Long and Short Pseudo-random Codes in Multi-rate LSC-DS-CDMA Signals
Authors: Fangfang Qiang, Zhijin Zhao, Xiaowei Gu, Xianyang Jiang
Pages: 259-265
Abstract: Aiming at the problem of blind estimation of pseudo-noise codes in multi-rate long and short codes direct sequence code division multiple access signal, in this paper, a novel codes estimation method based on Fast-ICA algorithm and sequences properties is proposed in this paper. The received signal is firstly segmented twice according to its maximum long scrambling code period and minimum spreading code period. Each user’s composite code fragments consisting of long and short codes are separated by Fast-ICA algorithm. Then the user's long and short codes are estimated in descending order of the data rate, and the specific steps are as follows. Firstly, the separated composite code fragments make up the fuzzy sequences, and the double delay-and-multiply method is used to eliminate the order fuzzy and spread code interference. Secondly, combined with cyclotomic cosets and triple correlation properties, the method of feature information matching is used to estimate the long scrambling codes of all users with the same data rate. Meanwhile, the short spread codes are estimated by correlation operation. Lastly, all the estimated users’ composite code fragments are deleted by using similarity matrix, fuzzy sequences are reconstructed, and three steps above are repeated until all users’ long and short codes are estimated. Simulation results show the effectiveness of the proposed method.
Title of the Paper: Convergence of the Euler Method in Probability to SDEs under the Generalized Khasminskii-type Conditions
Authors: Hui Yu
Pages: 251-258
Abstract: The Euler method is introduced for stochastic differential equations (SDEs) with piecewise continuous arguments driven by Poisson process under the generalized Khasminskii-type conditions which cover more classes of such equations than classical conditions. To our known, few results are presented to such equations in current literature. Here, three results are obtained for such equations. Firstly, the existence and uniqueness of global solutions to such equations are proved by Itô formula and mathematical induction. Secondly, the Euler method with a given step-size is constructed. Lastly, the convergence of the Euler method in probability for such equations under the generalized Khasminskii-type conditions is investigated by means of the continuous-time Euler method. All the results show that on the basis of the existence of such equations, the Euler method is convergent in probability under the Khasminskii-type conditions. Moreover, some numerical examples are given to the results.
Title of the Paper: Systematic Risk Measurement Based on CoVaR Model
Authors: Xiaohua Duan
Pages: 243-250
Abstract: With the vigorous development of China’s insurance industry, it is necessary to objectively measure the systematic risk of the insurance industry. In this paper, the author selects three listed insurance companies in China as the research objects, and uses the combination of model and quantile regression model to conduct empirical analysis in order to measure the spillover effect of systemic risk in insurance companies. The measurement results show that the risk spillover value of CPIC (China Pacific Insurance Company) is the largest, followed by China Life Insurance Company (China Life), and Ping’an Insurance Company of China (China Ping’an) is the last. Finally, the author puts forward the countermeasures and suggestions to prevent the systemic risk of insurance industry by combining with the results of the empirical analysis. There should be a reasonable measurement and regulatory system, especially for risk and infection between insurance companies.
Title of the Paper: Effect of Site and Size of Wind Turbine on its Economic Operation
Authors: S. Bajaj, K. S. Sandhu
Pages: 237-242
Abstract: Effective, efficient and economical generation of power for the society is a big challenge today. Economic Power generation to fulfill the demands of the consumers is necessary for any country. Renewables like wind, solar, hydro etc. play an important role in facilitating the adequate amount of power generation for the masses. Among these renewable energy sources, generation of power from wind energy may be classified as an Effective, efficient and economical way. This paper includes the economics analysis of wind power generation of three different locations having different mean wind speeds. Seven wind turbines with different dimensions and ratings have been employed for such analysis. Further an attempt has been made to compare the economics of different wind turbines of different power ratings at different location on the basis of levelized cost of energy (LCOE). It is observed that economics of wind power plant depends upon site specification and characteristics of different wind turbines. Also with increase in power rating of the wind turbine, the levelized cost of energy for the given location decreases. It has been seen that for a particular location with increase in the rotor diameter the LCOE deceases. Analysis show that that for any wind turbine LCOE will decrease with the increase of the mean wind speed for a given installation site.
Title of the Paper: Multi-Channel Access in Ultraviolet Space Optical Communication
Authors: Yanfeng Tang, Hongzuo Li, Bailiang Huang
Pages: 229-236
Abstract: Space optical communication have some special advantages, such as high degree of confidentiality, large information capacity. It has been the research hotspot in the field of wireless communication. But it is strict with link and weather because of the communication mode that point to point. It limits the application of space optical communication. Ultraviolet（UV）communication is different from other optical communication methods. The UV is transmitted with scattering principle in atmospheric. So, it is suitable for Non-Line- of -Sight communication. But it is limited that the communication distance because the received energy attenuation is serious. Moreover, the signals will interfere with each other when they reach the receiver which are transmitted from multipath because of atmospheric scattering. It will lead to the high bit error rate of the UV communication. In this paper, it is presented that the multiple access technology of ultraviolet which uses the multipath effect. The main goal of the technology is to improve receiving total energy and increase the communication distance of ultraviolet communication. Meanwhile, it is solved that the signal interference when multipath signal reach the receiver. The ultraviolet communication will be applied extensively in the wireless network, emergency communication, sensor communication system, with the unique advantages of non-line-of-sight transmission and all-weather work.
Title of the Paper: Signal Detection based on Real-Time Channel and Phase Tracking
Authors: Xin Meng, Qichao Zhang, Jianfu Teng
Pages: 222-228
Abstract: In order to solve the problem of fast time-varying channel in spaceborne AIS systems, a signal detection algorithm based on joint channel and phase real time tracking is proposed. The algorithm combines real-time tracking of the channel and phase to realize the joint estimation of parameters and symbol sequences. So, it avoids the serious distortion and crosstalk of the signal when the channel changes quickly, which can be better applied to the spaceborne AIS system to ensure the stability. Simulation results show that the algorithm has a better performance than differential detection, Viterbi decoding and per survivor processing (PSP) signal detection algorithm, and has strong ability of anti frequency offset.
Title of the Paper: Optimization of VRP for Single Distribution Center Based on Improved Saving Method
Authors: Xia Li
Pages: 213-221
Abstract: As the "third source of profit" in the world economic activities, logistics has been paid attention by all countries in the world, especially in the developed countries. The development of logistics has been quite mature, and the logistics management and technology have been widely used. In order to reduce the cost of logistics distribution, vehicle routing problem in logistics system has become a hot issue. The selection of rational distribution path for vehicles directly affects the service level and the cost of the distribution center. The optimization and scheduling of the distribution center can improve the economic efficiency of the logistics and realize the scientific logistics. On the basis of saving mileage, the author considers the influence of distance between distribution centers and users and users on path planning, so as to achieve the path search of the shortest distance. Taking a chain supermarket as an example, the author combines the distance factor and plans the distribution route of vehicle. The results show that the algorithm can effectively solve the optimal solution of vehicle routing problem for single distribution center.
Title of the Paper: Comparative Evaluation of Denoising of Tree Radar B-scan Images using Multi-resolution Analysis Algorithms
Authors: Zhaoxi Li, Jian Wen, Zhongliang Xiao, Mingkai Wang
Pages: 205-212
Abstract: This paper uses Ground Penetrating Radar (GPR) to detect the decays in the tree trunk such as decay, scar, void, etc. The noise submerges the feature information of the defects, which lead to inaccurate or even incorrect results. This paper focuses on multi-resolution algorithms, which serve to improve the signal to noise ratio (SNR) of tree radar B-scan images, and extract the edge feature information of defects. The performance of these algorithms will be compared in PSNR and EPI (edge preservation index). The experiments carried on the simulated tree radar data which is obtained by GprMAX based of FDTD (Finite-Difference Time-Domain) and the actual willow radar data which is obtained by TRU tree radar detect system .This paper also presents the results of forward tree radar B-scan image and reality tree radar B-scan image.
Title of the Paper: An Efficient Round Robin Task Scheduling Algorithm based on a Dynamic Quantum Time
Authors: Chunhong Zhang, Ping Luo, Yuye Zhao, Jianqiang Ren
Pages: 197-204
Abstract: In the round robin (RR) algorithm, the length of the static quantum time is difficult to determine, too long or too short is not appropriate. If the time slice is too long, the RR algorithm is degraded to First Come First Served (FCFS) algorithm. Each process is executed in one time slice, resulting in a long response time. If the time slice is too short, a user's request will need more time slices to process. The number of context switches will increase and the response time will be longer. There are still some shortcomings in the existing algorithms of dynamic round robin. Therefore, a dynamic round robin scheduling algorithm based on median is proposed, which is called the Median-based Dynamic Round Robin (MDRR) algorithm. The algorithm treats scheduling tasks in ascending order according to the size of their burst time. Then the burst time of the next task that is adjacent to the median is selected as the quantum time for each round scheduling. Each round of scheduling needs to calculate a time slice, instead of calculating the time slice for each task, so the algorithm complexity is low. The simulation experiment showed that the MDRR algorithm can maintain good performance in many cases. It has a good balance between the scheduling overhead, system waiting time, system performance and fairness. The MDRR has better performance than other improved round robin algorithms.
Title of the Paper: A Fractional Wavelet and its Implementation using Single Switched-Current Integrators
Authors: Mu Li, Wenxin Yu, Xiaofeng Wu, Zaifang Xi
Pages: 191-196
Abstract: A fractional wavelet based on fractional order system and its analog current-mode switched-current (SI) circuit implementation with few components and simply structure is presented. Firstly, it is shown that the impulse response of a fractional order band-pass filter satisfies the admissibility condition to be considered a wavelet base. Then the wavelet filter circuit is designed using single SI integrator and the different scale wavelet functions for implementing wavelet transform (WT) are obtained by only changing the clock frequency with the same circuit architecture. The time and frequency domain responses of the fractional wavelet filter circuit are given. Meanwhile, the sensitivity and imperfection of the designed circuit is analyzed. Finally, Simulations verify the correctness and feasibility of the proposed method.
Title of the Paper: Financial Model based on Principle Component Analysis and Support Vector Machine
Authors: Zhuo Zhang, Jia Wang
Pages: 183-190
Abstract: Financial pre-warning model plays a vital role in the financial monitoring of one business. It can help management to predict, prevent and control enterprise financial risks. This paper builds up a new financial model based on the integration of principle component analysis (PCA) and support vector machine (SVM) model at a standpoint view. The model indicates higher accuracy than some prevailing financial monitoring model by comparing and analyzing some samples under China’s special economic environment. The model algorithm takes core information of all samples into consideration as to the feature extraction process of sample data. The redundant index information undergoes compression-based extraction. Under the prerequisite of maintaining key index information, disturbing factors in sample indexes are eliminated to optimize the training performance of the follow-up monitoring and diagnose model. At a result of the empirical study, this paper proves new integration model can more efficiently help enterprise to predict, prevent and control financial risks of the enterprise.
Title of the Paper: Multi-criteria Decision Making Method with Interval Neutrosophic Setting based on Minimum and Maximum Operators
Authors: Limin Su, Huishuang He, Hongwen Lu
Pages: 177-182
Abstract: The interval neutrosophic set (INS) is a subclass of the neutrosophic set (NS) and a generalization of the interval valued intuitionistic fuzzy set (IVIFS), which can be used in engineering and scientific practice. This paper aims to present a new multi-criteria decision making method under interval neutrosophic setting. For this purpose, a comparative method between two interval numbers is firstly given. Then, some new similarity measures based on minimum and maximum operators with INSs are proposed. Thirdly, a multicriteria decision making method with INSs is established. Finally, an example is used to illustrate the practicality and validity of the proposed decision making method.
Title of the Paper: Cognitive Adaptive Travelling Window Filter Technology Implementation on Heterogeneous Multi-core Architecture
Authors: V. Jean Shilpa, P. K. Jawahar
Pages: 170-176
Abstract: Low frequency signals are corrupted mainly by high frequency noise signals. In the last few decades many efficient algorithms have been proposed to design FIR filters for noise suppression in digital signal processing systems. Majority of these algorithms focus on static noise suppression techniques for noisy signals of different frequency. To overcome this major drawback, this paper proposes and designs Cognitive adaptive travelling (CAT) window algorithm for adaptive noise suppression, with flexible architectural changes to FIR filter structure based on the frequency and amplitude of the noise signal. CAT algorithm for FIR filters is designed using windowing technique which is hybrid of different traditional existing windowing techniques. This adaptive filter achieves 17% fall off, of the first side lobe noise to suppress the noise contents with 47% fall of rate of maximum side lobe noise levels achieving a side lobe role-off factor from -13 dB to -16.9 dB compared to static FIR filters. With the above achieved improvements, the hybrid CAT window is 23% efficient compared to static FIR filter. With Zynq processor being an implementation platform, CAT window FIR filter is efficiently mapped to an efficient heterogenous multicore architecture.
Title of the Paper: Image Segmentation based on Improved Regional Growth Method
Authors: Zhanshen Feng, Peiyan Sun
Pages: 162-169
Abstract: Image segmentation is to divide an image into multiple regions according to the consistency requirement of certain image features. In image segmentation, firstly, we should mark and locate the target and background in the image according to the prior knowledge of the target and background. Secondly, the target to be identified is separated from the background. The segmentation of images, the separation of targets, the extraction of features and the measurement of parameters will transform the original image into more abstract and compact form, making the analysis and understanding of the higher level possible. It is not only a key step to conduct image analysis, but also the foundation to further understand the image. Regional growth method is a method to gather the pixel points according to the similarity of the regional pixels of the same object and starting from the surrounding small neighborhood of every pixel, it incorporates the pixels with the same feature or other regions into the current region so as to gradually expand the region until there is not point or another small region to be incorporated. This paper, in order to solve the deficiency of slow transition in gray value and inconspicuous boundaries of conventional regional growth method, improves the growing criterion of regional growth method, gathers pixels based on the similarity of the regional pixels of the same object and includes the neighboring pixels with the same features or other regions into the exiting region in order to gradually increasing the region until there are no more pixels or other tiny regions to be included. The similarity measurements of the regional pixels include average gray value, textures, colors and other information. The experiment result proves that the algorithm of this paper results in better segmentation, improves the segmentation accuracy and reduces the over-segmentation and insufficient segmentation.
Title of the Paper: An Analog Circuit Fault Diagnosis Approach using DBN as a Preprocessor
Authors: Chaolong Zhang, Yigang He, Renxiong Liu, Lanfang Zhang, Shanhe Jiang
Pages: 156-161
Abstract: In order to diagnose analog circuit faults effectively, an analog circuit fault diagnosis approach using deep belief network (DBN) as a preprocessor is proposed in the paper. Time responses are measured by sampling outputs of the circuits under test. Features are extracted by using the DBN method based on the time responses. A fault diagnosis model using least squares support vector machine is set up based on the extracted features. Sallen–Key bandpass filter and four-opamp biquad highpass filter fault diagnosis simulations demonstrate the diagnose procedure of the proposed approach, and a comparison simulation also validates that the proposed features extraction method can produce better extract performance than the conventional methods.
Title of the Paper: A Perishable Production Inventory System with Service Time and its Performance Evaluation
Authors: Yaling Qin, Dequan Yue
Pages: 148-155
Abstract: This paper studied a perishable inventory system with a service facility, which is a kind of production inventory system that require a certain service time before customers receive the specified goods. The continuous review (s, S) production inventory policy was adopted for the system. It means that productive facilities start to produce goods, while the inventory level decreases to s; otherwise, the productive facilities will be stopped to produce goods, while the inventory level achieves to S. The customers arrive according to a Poisson process. All arriving customers during stockout are lost. The life time of the item, production time and service time are assumed to have independent exponential distributions. The stationary joint distribution of the queue length and the on-hand inventory is obtained. Various system performance measures are derived and the total expected cost is calculated. The impact of different parameters to the system performance measures and the total expected cost are illustrated numerically.
Title of the Paper: NCD-TAP: A Tracking Area Planning Approach based on Newman Community Detection for HCN
Authors: Shanshan Tu, Qiangqiang Lin, Weipeng Wang, Kaili Sun, Yao Huang, Hong Phong Nguyen
Pages: 140-147
Abstract: In heterogeneous cellular network (HCN), the cell is usually divided into tracking areas (TA) for better management of users’ locations. The trade-off between location update signaling and system paging signaling is a core issue in TA planning. However, the existing TA planning solution aiming at large-scale deployment of small cell has the problems of uneven location updating signaling, ping-pong effect and so on. Against the above problems, this paper presents NCD-TAP, a novel TA planning method based on Newman fast community detection algorithm. Firstly, the TA planning problem is modeled as a complex network community detection problem and the Newman algorithm in the community detection is used to propose the TA planning scheme. Then, the modularity concept of community partition is introduced to measure the performance of TA planning scheme. Finally, the experimental simulation results show that the scheme proposed in this paper has obvious advantages in the case of large scale of small cell and high expectation of small cell Poisson distribution, and is suitable for massive cellular deployment environment.
Title of the Paper: Path Planning and Trajectory Tracking Control of Large Intelligent Mowing Robot based on GPS-RTK
Authors: Jiehua Zhou, Yongguo Zhu, Cihui Yang
Pages: 132-139
Abstract: In order to improve the mowing efficiency in large lawn, a large intelligent mowing robot was designed by using the technology of mobile robot and global positioning system-real time kinematic (GPS-RTK). The path planning and trajectory tracking control must be solved for realizing its application. Firstly, the paper introduces the functions of each subsystem and establishes the robot’s kinematics model by using Ackerman model. Secondly, according to the GPS information, a round-trip straight path planning and trajectory tracking control algorithm were proposed in the polygon working area. Finally, the path planning and trajectory tracking control algorithms were simulated and experimental studied. The cutting leakage rates of simulation and experiment are respectively 7.15% and 8.89%. The results show that the proposed path planning and trajectory tracking control algorithms are effective.
Title of the Paper: A Method for Energy-efficient Optimization on Multi-Cores
Authors: Hua Jin, Aixin Wang, Yatao Zhu
Pages: 120-131
Abstract: Power-performance assignment is a popular method for energy-efficient optimization of multi-core processors nowadays, where power-performance models are commonly used to search for optimal configuration in two dimensions: core number and frequency. However, the state-of-the-art methods for searching optimal energy-efficient configurations between core number and frequency suffer from slow convergence speed, tremendous overhead, and poor scalability, which prevents them from practical applications. In this paper, an efficient search method based on feasible direction method is proposed to quickly reduce search space in core number and frequency, as well as to quickly converge to the minimum point of energy consumption through the iterative process. Moreover, the power-performance model can be flexibly revised by measuring power and performance of each rational configuration. The experimental results show that, compared with Hill-climbing Heuristic which is one of the best existing search methods, our framework makes average elevations in the number of execution times, execution overhead, energy overhead by 38.6%, 43.9% and 46.7%, respectively. The enhancement will be 47.6%, 50.2% and 49.3%, when doubling the cores of a multi-core processor, and 44.7%, 49.1%, 53.2%, when doubling the frequency levels.
Title of the Paper: An FPGA-based Pulse Integration System to Improve the SNR of Radar Echo
Authors: Chengchang Zhang, Sa Yu, Lihong Zhang, Yuwen Gong
Pages: 114-119
Abstract: An efficient pulse integration scheme based on FPGA to improve the signal to noise ratio (SNR) of received radar echo is presented. Radar echo is mixed with noise, due to noise interference, useful radar signals may be completely submerged in noise, it is difficult for radar receiver to detect useful target signals. With the benefit of FPGA high speed and parallel computing features, it is developed by sampling multiple cycles received radar echo, storing and accumulating the sampled data in FPGA. Useful radar pulse in radar echo mixed with noise is coherent in different cycles, the process of accumulation makes the value of radar pulse increase, whereas the noise is random, the change of noise is not obvious. So, radar pulse is strengthened, otherwise noise is suppressed. In ideal case, the integration for M cycles of radar echo can increase SNR by M times. This method provides a valuable method for radar design, especially, it is valuable for the digitization and miniaturization of radar receiver.
Title of the Paper: Optimization of Beds Allocation based on Queuing Model and the Particle Swarm Optimization Algorithm
Authors: Yumei Hou, Hui Zeng, Yimin Wang, Xueqin Wang, Qiuye Gao
Pages: 105-113
Abstract: Hospital bed is a critical resource. So it is very important for the beds allocation among the different departments. Based on queuing theory, the model of beds allocation among the departments is constructed, which has two constraints are the patient loss rate and the bed utilization rate. Then the particle swarm optimization algorithm with inertia weight is designed for the model of beds allocation among the departments. Accordingly M hospital’s beds allocation among the departments is derived by the beds allocation optimization scheme and the particle swarm optimization algorithm. In the end the optimal beds allocation is compared with the current beds allocation planning which shows that the proposed scheme is able to allocate resources reasonably so that it can reduce the number of patients lost and optimize the operating costs of the departments.
Title of the Paper: The Composite Control Method for the GDI Engine Idle Speed Control
Authors: Honghui Mu, Jun Tang
Pages: 97-104
Abstract: Engine idle control is related to the engine’s fuel consumption and exhaust-gas pollution level, effective idle speed control (ISC) can improve fuel economy and reduce exhaust emissions. Based on the Gasoline Direct Injection engine (GDI) as the research object, the average value of three-state kinetic model is adopted to construct four-stroke gasoline engine dynamics model. The composite controller is proposed to control the engine model, the throttle valve and the spark advance angle are selected as control variable. Fuzzy self-turning PID control mode as feedback controller is presented to control the speed error. The neural network prediction algorithm combines the advantages of predictive control and advance regulation with the advantages of neural network infinite approximation, which has a great effect on improving the following and anti-interference of the system. The simulation results show that the idle speed ripple value is less than 8rpm when the sudden variable load is add to engine, and engine idle speed fluctuation with controlling the throttle value and the spark advance angle is reduced. This control method has better performance than only by controlling the throttle value.
Title of the Paper: Design of Fractional Order PID Controller for Induction Motor Speed Control System by Cuckoo Search
Authors: C. Thammarat, D. Puangdownreong
Pages: 92-96
Abstract: The non-integer (fractional) order PID (FOPID or PI^(λ)D^(μ)) controller was introduced almost two decades and demonstrated to perform the better responses in comparison with the conventional integer order PID (IOPID). The design of an optimal FOPID controller for induction motor speed control system by the cuckoo search (CS), one of the most efficient metaheuristic optimization search techniques, is presented in this paper. Based on the modern optimization framework, five parameters of the FOPID controller are optimized by the CS to meet the response specifications of the three-phase induction motor (3φ-IM) speed control system defined as particularly constraint functions. Results obtained by the FOPID controller are compared with those obtained by the IOPID designed by the CS. As simulation results, the FOPID can provide superior speed responses to the IOPID, significantly.
Title of the Paper: Interaction between Aliasing and Antialiasing Effects in Differentiating Smooth Band-Unlimited Signals
Authors: Vairis Shtrauss
Pages: 85-91
Abstract: We study aliasing and antialiasing effects occurring in discrete-time differentiation of a smooth band-unlimited signal – so-called the Cauchy pulse through evaluation of differentiation errors for low frequency portion (LFP) bellow the Nyquist frequency and high frequency portion (HFP) above the Nyquist frequency produced by type IV linear phase differentiators designed by different methods with varying differentiators’ lengths, sampling and band-limiting frequencies. We demonstrate that differentiation of HFP creates an aliasing error equal to the error of the computed HFP of the derivative, whereas removing HFP causes an algorithm-independent antialiasing error equal to HFP of the exact derivative with minus sign. Both errors are in a balance and determine the common error introduced by the band-unlimitedness. We disclose that regardless sampling frequency the antialiasing error in the differentiation is greater than the aliasing one. The differentiators designed by various methods approximately equally compute HFP with nearly equal aliasing errors having a weak dependence on differentiator length, at the same time, LFPs are differentiated with very wide variation in the accuracy. It is demonstrated that the differentiators with smooth magnitude responses at low frequencies compute considerably more accurate derivatives of LFPs than those having rippled responses.
Title of the Paper: Application of Cuckoo Search to Synthesize Analog Controllers
Authors: B. Wongkaew, D. Puangdownreong
Pages: 79-84
Abstract: In modern optimization, the CS was firstly proposed in 2009 to solve both continuous and combinatorial, single-objective and multi-objective optimization problems. It has been accepted and widely applied to solve several real-world engineering problems. In this paper, the CS is conducted to synthesize the analog controllers most commonly used in various control applications, i.e. Lead-Lag compensator, PID controller and PIDA controller. In this work, such the controllers are considered to be realized by analog electronic circuits using only one operational amplifier. The proposed synthesis approach can be determined as one of the constrained optimization problems. As results, it was found that the CS can effectively synthesize Lead-Lag compensator, PID controller, and PIDA controller satisfying to the predefined objective and constrained functions.
Title of the Paper: The Impact of Crisis Situations to the Transport Service of the Territory for the Selected Hospital
Authors: P. Viskup, K. Vichova
Pages: 73-78
Abstract: Several cities in the Czech Republic have a traffic problem. We see a growing number of road vehicles, resulting in traffic accidents and traffic accidents. The traffic situation is fundamentally affected by crisis situations. If a crisis occurs - floods, the path is often flooded. An even more significant problem arises when a flooded road separates the city from two islands. It is, therefore, necessary for the city to address this problem. At the time of the crisis, it is essential to plan different routes for evacuation or supply. Before the city decides to make a change in the transport system, it is necessary to make a simulation to determine if the proposed system will be useful and help in the traffic situation of the city. The aim of the paper is to analyse the impact of crisis situations to the transport service of the territory for the selected hospital. In the introduction, there is a literature review of the problem of transport service in times of crisis and simulation traffic service. In the next part, there was analyse the transport operation of the hospital Uherské Hradiště. As a central part of the paper is a case study which solves the traffic situation in the nearest part of the hospital with the critical points of the solution. In the paper, there was used the software PTV Vissim as a first method. The second used method is Digital Flood Plan of the Czech Republic. At the end of the paper, there we can see the results from this software and digital plan.
Title of the Paper: A WSN Clustering Algorithm for Micro-grid
Authors: Bin Cai, Bin Wang, Yi Shi, Xiao-Hui Li
Pages: 66-72
Abstract: Considering the practical situation when applying the wireless sensor network to the micro-grid, the unbalanced energy consumption among the nodes will lead to the problem of blind areas, poor monitoring quality and the short lifetime of the monitoring network, an uneven clustering algorithm based on the real-time energy of the nodes for the state and information monitoring network of micro-grid was proposed. In the proposed algorithm, the flag bit and the real time node energy factor were introduced to the calculation of the cluster head competition radius, and the clustering judgment factor was applied to realizing dynamic and unequal clustering of the network. The algorithm balanced the energy consumption by choosing the node with sufficient real-time energy and low communication cost as cluster head. Simulation results show that the proposed algorithm can more efficiently balance the energy consumption, make the death nodes distribute evenly, improve the quality of network monitoring and prolong the network lifetime.
Title of the Paper: Optimal PIDA Controller Design for Three-Tank Liquid-Level Control System with Model Uncertainty by Cuckoo Search
Authors: T. Jitwang, A. Nawikavatan, D. Puangdownreong
Pages: 60-65
Abstract: In industrial applications, the three-tank (3-tank) liquid-level control commonly exists under the PID control loop. However, the PIDA could provide better responses than the PID for higher order plant. In this paper, an optimal PIDA controller design for 3-tank liquid-level control system with model uncertainty by cuckoo search (CS) is proposed. The CS, one of the most powerful population-based metaheuristic optimization search techniques, is conducted to optimize the PIDA’s parameters based on modern optimization context. The CS-based PIDA design framework can be considered as the constrained optimization problem. Model uncertainty is occurred due to aging and environmental effects. As results, it was found that the PIDA controller designed by the CS provides the very satisfactory responses of the 3-tank liquid-level controlled system with model uncertainty superior to the PID controller.
Title of the Paper: Grayscale Enhancement of Spiral CT Scan Image of Human Spinal Skeleton
Authors: Shufeng Jiang, Fengjuan Wang, Fansong Meng
Pages: 53-59
Abstract: The digitalization of human scanning information is the support technology of modern medical instrument detection and analysis, and the data acquisition and processing of human skeleton is the premise of human information digitization. It is the key link of reverse engineering technology, and also the basis of human skeleton reverse reconstruction. In this paper, the image data of human spine skeleton is obtained by spiral CT scanning, and an effective gray enhancement algorithm is used to enhance the image data of the human spine skeleton, which provides technical support for the later 3D reconstruction. The measurement of human bone surface data refers to mapping its shape information into geometric coordinates or two-dimensional image information of discrete points through specific measurement methods and measuring equipment. Through comparative analysis, we use high accuracy and advanced technology spiral CT scanning to get human spine and skeleton image data. Based on grayscale theory, an efficient algorithm is constructed, which includes histogram equalization, grayscale transformation, smoothing, sharpening and edge detection. The algorithm can effectively enhance the image features from different angles and different methods, so that the bone feature data can be extracted more quickly and accurately in the subsequent 3D modeling process. The results of the algorithm and technology integration show that the processing features of CT image data are compared with other non obvious regions and the image feature data are more accurate. The results show that the gray image enhancement algorithm is more suitable for human tissue image enhancement than other algorithms, and provides better image data processing support for 3D reconstruction of bone model.
Title of the Paper: Project Management Methods in Conditions of Business Companies in the Czech Republic
Authors: Pavel Taraba
Pages: 46-52
Abstract: The paper aims to evaluate the application of project management methods in conditions of business companies in the Czech Republic. In the introduction part, project management competencies and selected methods based on an analysis of available information resources are defined. The separate parts of this article are dedicated to the project management software using in the project management. The main theoretical background of the paper is based on documents Individual Competence Baseline ICB version 4.0 and PMBOK® Guide 6th Edition. With the use of a questionnaire survey, the level of application of project management methods in conditions of business companies in the Czech Republic was evaluated. The questionnaire survey was conducted in four stages; the first carried out in 2015, the second in 2016, the third in 2017 and the final stage in 2018. Two research questions were formulated. 1) Are the methods of project management applied in most of the surveyed companies at a “very high” or at a “high” level? 2) Is it possible to observe a growing trend in the application of project management methods in the period 2015-2018 in the surveyed companies? Based on a comparison of the results of the individual analyses, it is possible to describe the development of the application of the project management methods over the past four years.
Title of the Paper: An Improved Solution for Multimedia Traffic in NIDS based on Elitist Strategy
Authors: Xu Zhao, Jin Jiang, Reza Mousoli
Pages: 40-45
Abstract: Omission is inevitable, when the network traffic exceeds the load capacity of Network Intrusion Detection System (NIDS). In this case, dangerous packets should be given priority to processing. Since the large proportion of multimedia packets in traffic, the multithreading solution for multimedia packets has been proposed in NIDS. However, due to the use of roulette wheel selection, there is a possibility that the multimedia packets with high danger coefficient will be missed during the selection process. In this paper, the selection operator is improved by the elitist strategy, and new processing steps in the solution is proposed. When omission occurs, this improved model can choose more dangerous multimedia packets for processing within the maximum processing capacity of different threads. Experimental results indicate that this model can help NIDS to improve its detection rate for dangerous multimedia packets effectively.
Title of the Paper: Optimal Design of Two-Degree-of-Freedom PIDA Controllers for Liquid-Level System by Bat-Inspired Algorithm
Authors: K. Lurang, C. Thammarat, S. Hlangnamthip, D. Puangdownreong
Pages: 34-39
Abstract: Regarding to control theory, the degree of freedom of a control system is defined by the number of control loops that can be adjusted independently. Traditionally, the one-degree-of-freedom (1DOF) control system has been widely conducted due to ease of use and simple realization. However, the design of control system depends on two main purposes, i.e. command-tracking and disturbance-rejecting. Two-degree-of-freedom (2DOF) control system has advantages over 1DOF for this scheme. In this paper, an optimal design of 2DOF-PIDA controllers for the liquid-level system by the bat-inspired algorithm (BA) is proposed. With BA-based, reponses of controlled system by the 2DOF-PIDA controllers are compared to those by the 1DOF-PIDA. As results, the 1DOF-PIDA and 2DOF-PIDA controllers can be optimally designed by the BA. Results show that, with 2DOF-PIDA control structure, the commandtracking and disturbance-regulating responses of the liquid-level system can be controlled effectively and independently.
Title of the Paper: Bulk Acoustic Resonator Devices using ZnO-Based Film and Back Cavity
Authors: Xin Li, Mengwei Liu, Yanlu Feng
Pages: 28-33
Abstract: The purpose of this study was to investigate bulk acoustic resonator (FBAR) devices using ZnO-based film and back cavity. A Mason equivalent circuit model was adopted to simulate the impedance characteristics of FBAR devices. The influence of piezoelectric material thickness, electrode thickness, and resonance area on the impedance characteristics of FBAR devices was analyzed. Structural parameters of the FBAR devices were designed, and bulk silicon micromachining was applied to fabricate Al/ZnO/Al-based FBAR devices with a back cavity. X-ray diffraction analysis shows that ZnO piezoelectric films have a highly preferred c-axis orientation. The frequency response of longitudinal wave FBAR devices has been measured by an RF network analyzer, and the results indicate the series resonant frequency and parallel resonant frequency of the fabricated FBAR devices determined to be 1.546 GHz and 1.590 GHz, respectively, which are close to the simulated results. According to the measured results, the effective electromechanical coupling coefficient and the quality factor have been calculated to be 6.83% and 350, respectively. The findings of this study may serve as reference for the development of FBAR devices.
Title of the Paper: Improvement the Post-Processing Quality in Lock-in Thermography
Authors: Anna V. Stoynova, Borislav B. Bonev
Pages: 20-27
Abstract: Active thermography is widely used method for non-destructive testing. In contrast to passive thermography, in active thermography using of raw data post-processing is necessary in all cases, especially in lock-in thermography. In lock-in thermography, defects cause thermal wave phase difference between defect and sound area. Aim of the post-processing is to calculate phases correctly for each pixel from raw thermogram sequence. Typically, the processing is performed on a part of the thermogram sequence and the question arises as to how to select this part. Depending on the used part of the thermogram sequence for the post-processing, the searched defects in some cases cannot be detected despite the sufficient phase difference between the defect and sound area for their detection is present. The aim of this study is to investigate the impact of this and other factors on the quality of the post-processing (evaluated with phasegram quality) and to define an algorithm for improving the quality of the post-processing. Modelling and real thermographic measurements were used to investigate this influence. The results from modelling and from real lock-in thermography measurements shows that by using of the proposed methods can be avoided decreasing of defects detectability caused by post-processing. It is proposed algorithm including proposed methods for contrast increasing. The problems associated with phasegram sharpness and phasegram pixel saturation are presented.
Title of the Paper: Research and Optimization of OpenStack Virtual Machine Resource Scheduling Technology
Authors: Jun Zhao
Pages: 13-19
Abstract: Cloud computing is a new business model of information technology. It services clients with the visualized hardware infrastructure resources in dynamic and flexible ways. The suppliers increase the input for infrastructure because of the high popularity of the service, leading to increased energy consumption and carbon emission. To reduce energy consumption and improve resource utilization rate, it is urgent to select proper physical resource distribution and virtual machine dispatching means. This study analyzed OpenStack cloud platform, proposed multi-objective ant colony optimization algorithm for multi-objective optimization issue and redesigned the resource scheduling model of server to efficiently satisfy user requirements. Moreover other algorithms including first fit algorithm, least residue algorithm and conventional ant colony algorithm were simulated. The experimental parameter conditions included 100 physical nodes, a physical host (CPU computing power array: (1000, 1500, 2000); internal storage: 4 GB; storage: 1 TB; bandwidth: 1 Gpbs), 200 virtual machines (CPU computing array: (200,400,600,800), computer frequency: (0.2GHz, 0.4GHz, 0.6GHz, 0.8GHz); internal storage: 1GB; storage: 400 GB; bandwidth: 250 Mbps), 150 ~ 200 W power consumption, and concurrent execution of 200 tasks. The four algorithms were simulated under the above conditions. The service level agreement (SLA) violation rate, resource balance and placement superiority of the four algorithms were analyzed. It was found that first fit algorithm was moderate in service quality and energy consumption, but the randomness was high; least residue algorithm was excellent in service quality, but the energy consumption was high; the conventional ant colony algorithm and the improved ant colony algorithm had excellent service quality and low energy consumption. The analysis of the placement superiority of the four algorithms suggested that multi-objective ant colony optimization algorithm had good balance in service quality and energy consumption. In conclusion, the proposed multi-objective ant colony optimization algorithm can reduce energy consumption on the premise of ensuring service quality.
Title of the Paper: Automated Control System Design with Model-based Commissioning
Authors: Jiri Koziorek, Antonin Gavlas, Jaromir Konecny, Martin Mikolajek, Radim Kraut, Petr Walder
Pages: 6-12
Abstract: A process of industrial control system design contains a set of steps. The result of the design process is significantly influenced by quality of execution of each step. An important phase of the design is a testing on different level of the design. The testing process influences a commissioning of the control system which follows the design process. The article describes innovative approach of automated control system design and analyses the possibilities of model based testing and commissioning. Both, the automated control system design and model based commissioning increase efficiency and quality of engineering process and of the designed control system. The model based commission is very close to digital twin approach which is one of important trends in automation.
Title of the Paper: An Improved Algorithm for the Optimization and Adjustment of Urban Rail Transport Operation Order
Authors: G. M. Ma, J. W. Yan
Pages: 1-5
Abstract: Urban rail transport is an important traffic means; hence the adjustment of urban rail transport operation order is a quite important part. The network density is restrained due to the large construction cost of rail transport. Moreover the disturbance of random factors leads to the actual operation deviation of rail transport. To optimize the operation order of rail transport, this study optimized and adjusted the delay problem of 12 stations (from Liuyuan station to Anshan road station) along subway line 1 in Tianjin, with the improved genetic algorithm and investigated the feeder bus routes based on the balance of passenger flow volume. The research results demonstrated that the average value of population genetics and the variation of objective function became smaller with the increase of iterations and tended to be stable after 15 times of iterations; the corresponding delay gradually relieved as the train passed more and more stations and disappeared after passing the 12th station; the convergence of the improved genetic algorithm used in the optimization of feeder bus network tended to be stable with the increase of iteration number. 4364.74 s was consumed to obtain the optimal solution, and the proportion of penalty cost was acceptable. Hence it is concluded that the improved genetic algorithm can help optimize the order of urban rail transport.
