International Journal of Circuits, Systems and Signal Processing


ISSN: 1998-4464
Volume 11, 2017

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 11, 2017


Title of the Paper: Long Time Stability of Regularized PML Wave Equations

 

Authors: Dojin Kim, Yonghyeon Jeon, Philsu Kim

Pages: 269-273

Abstract: In this paper, we consider two dimensional acoustic wave equations in an unbounded domain and introduce a modified model of the classical perfectly matched layer (PML). In the classical PML model, an unexpected and exponential increase in energy is observed in the long-time simulation after the solution reaches a quiescent state. To address such an instability, we provide a regularization technique to a lower order regularity term employed in the auxiliary variable in the classical PML model. The well-posedness of the regularized system is analyzed with the standard Galerkin method based on the energy analysis, and the numerical stability of staggered finite difference method for its discretization is provided by using von Neumann stability analysis. To support the theoretical results, under various thickness and damping values, we demonstrate a long-time stability of acoustic waves in the computational domain.


Title of the Paper: Novel Cascaded H-Bridge Multilevel Inverter with Bi-Directional Switches

 

Authors: D. Baimel, S. Tapuchi, N. Baimel

Pages: 263-268

Abstract: The paper presents an analysis of a novel cascaded multilevel inverter, which consists of two cascaded bridges per phase. The upper bridge produces 5-level voltage and consists of only two bi-directional and four standard IGBT switches in each 5-level H-bridge. The lower bridge is standard 3-level H-bridge. The inverter is controlled by Phase Disposition (PD), Phase Opposition Disposition (POD) and Alternative Phase Opposition Disposition (APOD) PWM methods. The significant advantages of the proposed inverter are simpler control and lower number of components such as switches, diodes and capacitors than in the standard multilevel topologies. Extensive simulation results validate the practicability of the proposed inverter. The proposed topology can be extended to any desired number of levels by cascading additional bridges.


Title of the Paper: An Iteration Free Backward Semi-Lagrangian Method for Coupled Burgers’ Equations

 

Authors: Soyoon Bak, Dojin Kim, Philsu Kim

Pages: 259-262

Abstract: In this paper, we develop a backward semi-Lagrangian method for solving the coupled Burgers’ equation. The main difficulty in the backward semi-Lagrangian method for this problem is treating the nonlinearity in the diffusion-reaction type equation, which has a reaction coefficient that is given in terms of coupled partial derivatives. To handle this difficulty, we proposed a new strategy using an extrapolation technique to split the nonlinearity into two diffusion-reaction boundary value problems, which are then solved in turn. In addition, we demonstrated the numerical accuracy and efficiency of the present method by comparing the numerical results with analytical solutions, or other existing numerical solutions that use alternate methods. In addition, we numerically proved that the proposed method exhibits second-order temporal convergence and fourth-order spatial convergence.


Title of the Paper: Seepage Modeling via Hybrid Soft Computing Methods

 

Authors: Vahid Nourani, Elnaz Sharghi

Pages: 254-258

Abstract: In this paper, several artificial intelligence (AI) models were employed to model seepage through Sattarkhan earth fill dam. For this purpose, measured data of several piezometers of the dam were employed, and then single models for each piezometer was presented based on two scenarios with different inputs. Next, ensemble models were developed to improve predicting performance. Afterwards, the results of the models were compared. The obtained results indicated that model ensemble led to a promising improvement in its performance for seepage modeling. Moreover, by comparison the both scenarios, it is concluded that in case of a failure of a piezometer, other piezometers can be used in modeling.


Title of the Paper: A Comparison of Multi-Step and Multi-stage Methods

 

Authors: Yonghyeon Jeon, Sunyoung Bu, Soyoon Bak

Pages: 250-253

Abstract: We study a multi-stage method compared with a multi-step method for solving a stiff initial value problem. Due to expensive computational costs of the multi-stage methods for solving a massive linear system induced from the linearization of a highly stiff system, stiff problems are usually solved by the multi-step method, rather than the multi-stage method. In this work, we investigate properties of both the multi-step and the multi-stage methods and discuss the difference between the two methods through numerical tests in several examples. Furthermore, the advantages of multi-stage methods can be heuristically proved even for stiff systems by the comparison of two methods with several numerical tests.


Title of the Paper: Cyclic Spectrum Reconstruction from sub-Nyquist Sampling with Dual Sparse Constraint

 

Authors: Xushan Chen, Jibin Yang, Xiongwei Zhang, Jianfeng Li

Pages: 244-249

Abstract: For cyclostationary signal processing, cyclic spectrum reconstruction is an important and challenge task for efficient and robust spectrum sensing, since cyclic feature detection takes advantage of spectral correlation characteristics to identify signal parameters and make reliable spectrum access decisions under uncertain noisy environments, but requires high complexity sampling and computational cost especially for wideband spectrum sensing. This paper proposes a novel cyclic spectrum reconstruction approach by exploiting the intrinsic sparsity and the differential spectral domain sparsity of the two dimensional cyclic spectrum of communication signals. Based on the linear relationship between the time-varying data covariance of the compressive samples and the unknown cyclic spectrum, the proposed estimator utilizes the symmetry property of the cyclic spectrum to improve the smoothness of the recovered cyclic spectrum and then to detect the spectrum occupancy accurately and robustly. Simulation results demonstrate the effectiveness of the developed estimator under different compression ratio cases.


Title of the Paper: A High Precision Time-Frequency Analysis Applying to Linearity Detection

 

Authors: Wenxin Zhang, Xiaojun Liu, Xiuwei Chen, Qing Liu, Guangyou Fang, Shinan Lang

Pages: 236-243

Abstract: This article presents a method to achieve a high precision time-frequency analysis and detect the linearity of linear frequency modulation continuous wave (LFMCW) radar system. At first, discrete time domain window is used to make the target signal to be discrete short-time pieces. The fractional Fourier transform (FRFT) is used to calculate the frequency modulation (FM) rates of every subsection. Let the short-time signal mix with a ideal linear frequency modulation (LFM) signal, the intermediate frequency (IF) signal can be obtained. The Wigner-Ville Distribution (WVD) transform can be used to estimate the time-frequency function of the IF signal. The time-frequency function of short-time signal can be calculated from the relation between the IF signal and the ideal LFM signal. This method can achieve a high precision time-frequency analysis. The simulation can show a significant resolution performance improvement over the conventional method. At last, a practical engineering application measurement is presented.


Title of the Paper: Pachycondyla APIcalis Ants (API) Algorithm for Multi-User Detection of SDMA-OFDM System

 

Authors: Saliha Azzeddinne, Mahdjoub Zoubir

Pages: 230-235

Abstract: Space Division Multiple Access (SDMA) based technique as a subclass of Multiple Input Multiple Output (MIMO) systems achieves high spectral efficiency through bandwidth reuse by multiple users. On the other hand, Orthogonal Frequency Division Multiplexing (OFDM) mitigates the impairments of the propagation channel. The combination of these tools has emerged as a most competitive technology for future wireless communication system. Different Multiuser Detection (MUD) schemes have been proposed at the BS receiver to identify users correctly by mitigating the multiuser interference. However, most of the classical MUDs fail to separate the users signals in the over load scenario, where the number of users exceed the number of receiving antennas. In this work, MUD tool based on the Pachycondyla APIcalis ants (API) algorithm is proposed in the multiuser MIMO-OFDM system and its performance is compared to existing MUDs such as MMSE(Minimum mean square) and ML algorithm.The simulation results show that the API-MUD algorithm can achieve higher performance.


Title of the Paper: Impulsive Noise Cancellation from Cardiac Signal Using Modified WLMS Alogorithm Based Adaptive Filter

 

Authors: Sarthak Panda, Mihir Narayan Mohanty

Pages: 223-229

Abstract: For clean signal, noise cancellation techniques are explored day-by-day. At the user end the clean signal is highly essential for different purposes. In this authors have considered the bio-medical signal that is corrupted with impulsive noise. It is very important to separate from the signal, as its occurrence is sudden and often similar to the signal. The popular adaptive algorithms have been tested for cancellation of impulsive noise. Further most used Wilcoxon LMS is also verified for impulsive noise case. Finally it has been modified for the same purpose. The result found excellent in terms of less MSE, SNR improvement and faster convergence.


Title of the Paper: Smooth Blind Extraction Method for Harmonic Signals Hidden in Chaos Energy Accumulation Zone

 

Authors: Xiaozhen Liu, Yuanshuo Zheng, Xinwu Chen, Erfu Wang, Qun Ding

Pages: 216-222

Abstract: Put forward a method for blind separation mixed signals hidden in chaotic energy accumulation zone. Take different chaotic systems’ wavelet time-frequency analysis for reference to determine amplitude and frequency of harmonic signal. Then use JADE algorithm for adding noise mixed-signal blind separation realizing the hidden harmonic signal blind extraction. Finally the simulation realizes doing smooth processing to extracted harmonic signal which restores harmonic signals in frequency domain and time domain, verifying The validity and the applicability of the method.


Title of the Paper: Modeling and Sliding Mode Control of a DFIG Fueled by a Three-Level PWM Cascade Application to Wind Energy

 

Authors: Naim Cherfia, Djallel Kerdoun

Pages: 210-215

Abstract: In this paper, we study the control of active and reactive power for a doubly fed induction generator (DFIG) using sliding mode control (SMC) method feeding by inverter a three –level structure NPC for variable speed wind energy. We first present the dynamic model of DFIG connected by wind turbine and grid system, then we modeling and control strategy of inverter three-level structure NPC. Finally, we will prove that the inverter three-level PWM which allows the minimizing of harmonics stator current and wide linear modulation range and ameliorate the quality of energy injected into the electricity grid.


Title of the Paper: A Variable Step Size Improved Multiband-Structured Subband Adaptive Filter Algorithm with Subband Input Selection

 

Authors: Chang Liu, Zhi Zhang

Pages: 202-209

Abstract: Subband adaptive filter algorithms are able to improve the convergence behavior by performing the pre-whitening procedure on the input signals. In this paper, we propose a new variable step size improved multiband-structured subband adaptive filter algorithm which dynamically selects subband filters (VSS-DS-IMASF) in order to reduce the computational complexity. The subbband selection scheme which is designed to select the meaningful subbands is based on comparing the steady state subband mean square error (SMSE) with the subband error power throughout the algorithm execution, checking whether the subband filters converge to the steady state. In addition, the step size is controlled by the estimated mean square deviation (MSD) in order to achieve better steady state performance. Simulation results show that the proposed algorithm has lower steady state MSD and less computational complexities compared with the existing subband algorithms.


Title of the Paper: Design of Linear Functional Observers with H1 Performance

 

Authors: D. Krokavec, A. Filasova

Pages: 192-201

Abstract: The paper solves the problem of parameter designing for one class of linear functional observers. To solve this problem, a simple design procedure for providing the generalized structure framework based on H1 norm principle is presented. Related to estimation of given function of system state, the design steps is given out in the example to illustrate the properties of the functional observer.


Title of the Paper: Edge Selection and Sparse Representation Based Motion Deblurring Method

 

Authors: Xixuan Zhao, Jiangming Kan

Pages: 184-191

Abstract: Motion deblurring has long been a challenging yet fundamental problem in image processing. In this paper, we address the problem of blind motion deblurring by incorporating global priori information, kernel priori information and sparse representation in a unified framework. Then, we alternately solve the estimated kernel and the deblurred image. To obtain a more accurate blurring kernel, we propose an edge selection step to select useful edges for kernel estimation and introduce an intermediate image to improve the accuracy of kernel estimation. Experimental results show that the proposed method runs fast and achieves comparable results to those of the state-of-the-art algorithms. Sometimes, this proposed method outperforms these other algorithms in both synthetic and real-world image experiments.


Title of the Paper: Analysis of Developers Choices for API Rest or Soap Protocols

 

Authors: Alen Šimec, Lidija Tepeš Golubić

Pages: 178-183

Abstract: This paper is about analysis and comparison of SOAP protocol and REST architecture, their possibilities and use in everyday scenarios. The structure, way of work and area of application, as well as the most famous cases of application of one or the other approach have been described in short.


Title of the Paper: Video Summarization in Social Media Based on Users’ Geo-Location

 

Authors: Klimis Ntalianis, Nikos Mastorakis

Pages: 171-177

Abstract: Tons of information is posted everyday on social networks. This information should be summarized in order to be accessible by users. In this paper a novel scheme is proposed for summarizing video content posted on social networks. Towards this direction a probabilistic framework for estimating the location of each post is designed, based on the associated textual content of the post. Furthermore a CLARANS-based key-frames extraction scheme is considered. Then each user is presented with a location-aware summary. The nearest a video is to the location of a user, the more key-frames are extracted. This paper forms an initial study of location-based summarization of video content posted on social networks and experiments on real world data indicate its promising performance.


Title of the Paper: Flow Apportionment in a Manifold by Using Genetic Algorithm and Least Squares Regression

 

Authors: Thulasiram A. R., Bura Sreenivas, Sreenivas Jayanti

Pages: 162-170

Abstract: Flow apportionment of a 8-parameter flow manifold is dealt in this paper. We deal with a one-by-four manifold. We have to optimally locate the guide plates. The objective of the work is to minimize the standard deviation of the actual flow rates from the set points by controlling 8 parameters four of which are lengths and four of which are angles of deflection. We take the input as the 50 data points generated by the process of CFD. Using the combination of ordinary least squares and genetic algorithms we develop the minimization algorithm for the objective function. We have successfully evaluated the objective and 8 parameters and found that the algorithm employed in this work yields a solution that is lower than the lowest of the 50 data points. Therefore we concluded that our method works successfully without having the need to resort further to CFD computations.


Title of the Paper: Modeling of Input Capacitance of IGBTs Under Dynamic Conditions

 

Authors: Ji Tan, Yangjun Zhu, Shuojin Lu, Qiaoqun Yu

Pages: 157-161

Abstract: Insulated gate bipolar transistor (IGBT) input capacitance has significant influence on device dynamic behaviors, and consists of two nonlinear components: the gate capacitance and the miller capacitance. Although these two components are capacitance with MOS structure, they behave differently with the isolated MOS capacitance. The reasons leading to this are the influences of the nearby semiconductor layers and the collector current dependency. An analytical model of the input capacitance for the dynamic cases has been derived, and the collector current dependency is quantified. The predictions of the model are in good agreement with the results obtained from numerical simulation of IGBT transient.


Title of the Paper: Electrohydraulic Actuators Affected by Multiple Failures: Proposal of an Alternative Model-Based Prognostic Paradigm

 

Authors: M. D. L. Dalla Vedova, P. Maggiore, F. Marino

Pages: 148-156

Abstract: Onboard electrohydraulic actuator (EHA) applied to primary and secondary flight command, and in particular the servovalves (SVs) regulating their hydraulic power, are complex devices and can fail in several ways: servovalves are critical components of the hydraulic servos and their correct operation is mandatory to ensure the proper functioning of the controlled servosystem. For this reason, a continuous monitor is typically performed to detect a servovalve loss of operation, but this monitor falls short of recognizing other malfunctionings. Often, a progressive degradation of a servovalve occurs, which does not initially create an unacceptable behavior, but eventually leads to a condition in which the servovalve, and hence the whole servoactuator operation, is impaired. Developing a prognostic algorithm able to identify the precursors of a servovalve failure and its degradation pattern is thus beneficial for anticipating the incoming failure and alerting the maintenance crew such to properly schedule the servovalve replacement. This avoids a servovalve failure in service, thereby ensuring improved equipment availability and minimizing the impacts onto the logistic line. To this purpose, authors propose a new model-based fault detection and identification (FDI) technique able to perform an early detection of two of the most common types of SV progressive failures (dry friction acting on servovalve spool and contamination of the first stage filter). The robustness of the proposed technique has been assessed through a simulation test environment, built on the purpose. Such simulation has demonstrated that the methodology has adequate robustness; also, the ability to early identify an eventual malfunctioning has been proved with low risk of missed failures or false positives.


Title of the Paper: Computational Fluid Dynamics-Based Simulation to Francis Turbine Under a Runaway Condition

 

Authors: Liying Wang, Bingyao Li, Weiguo Zhao, Qingjiao Cao

Pages: 142-147

Abstract: When the turbine operates in a runaway condition, the rotating speed of the runner increases sharply which results in serious threat to the safe of the units. In view of the instability phenomenon, a Francis turbine is simulated through Computational Fluid Dynamics (CFD). According to the internal control equation, the stable calculation results under the rated operation are used as the initial condition in the simulation, when the runner torque reaches a certain minimum value, the runaway condition is coming. Through analyzing the distribution of streamline under different speeds with different openings and the pressure distribution in the blade pressure surface and suction surface, it can be concluded that there exists a serious collision and off-flow phenomenon when the water flows into the runner. Meanwhile, through analyzing the streamline of draft tube in the meridian surface, it can be seen that the water flow with high rotating speed impacts on the draft tube wall, which causes the rising of pressure in the wall. With the increase of the opening, the vortex in the straight cone section is gradually reduced, additionally, the retention and secondary reflux in the diffusion section are significantly improved.


Title of the Paper: Grayscale and Binary Enhancement of Dorsal Hand Vein Images

 

Authors: Marlina Yakno, Junita Mohamad-Saleh, Bakhtiar Affendi Rosdi

Pages: 129-141

Abstract: Difficulty in achieving a peripheral intravenous (IV) access in pediatric and some adult patients is a clinical problem. These difficulties may lead to some negative impacts such as fainting, hematoma and pain associated with multiples punctures. The use of near-infrared imaging device to aid visualization of an IV access usually suffers from low contrast and noise due to non-illumination and thickness of hand skin. This further complicates subsequent processing such as image segmentation. In this work, two methods are proposed in two different stages; grayscale enhancement and binary enhancement for correction of low contrast and noisy images. For grayscale enhancement, a combination of histogram-based and fuzzy-based contrast enhancement algorithms are applied on hand vein images. For binary enhancement, a combination of three techniques; Artificial Neural Network pixel corrector, Binary Median Filter and Massive Noise Removal, are applied on the binary hand vein images. Comparative analysis on test images using the proposed different contrast enhancement methods has shown superior results in comparison to its counterparts.


Title of the Paper: Single-Image Super Resolution Based on Group Sparse Representation via GAUSSIAN

 

Authors: Shuhua Xu, Fei Gao

Pages: 118-128

Abstract: As recently newly techniques, Group based Sparse Representation (GSR) algorithms were proposed, which achieved an excellent performance of sparse representation, exploiting the concept of group as the basic unit of sparse representation which is composed of nonlocal image patches with similar structures and capturing intrinsic local sparsity and nonlocal self-similarity of images simultaneously in one unified framework. Inspired by this, we apply GSR to single image super resolution reconstruction. However, the Euclidean distance metric applied in the process of group construction in traditional GSR failed to capture nonlinear structural information between image patches, leading to that the performances of these algorithms were sensitive to the geometric structure of images. In order to solve the problem, on basic of existing GSR, the nonlinear nonlocal self-similarity and local information of image patches were captured by exploiting effectively Gaussian kernel distance metric instead of the Euclidean distance metric in the paper. The paper presents Single-image Super Resolution based on Group Sparse Representation via GAUSSIAN (GSRGSiSR) algorithm. Compared with many state-of-art SISR methods, extensive experimental results validate that the proposed method can obtain better peak signal-to-noise ratio (PSNR) and structural similarity (SSIM).


Title of the Paper: Depth Stabilization of Biomimetic Underwater Vehicle Without Swim Bladder

 

Authors: Piotr Szymak, Tomasz Praczyk

Pages: 112-117

Abstract: In recent times, we may notice some new designs of underwater vehicles, which imitate living underwater organisms, e.g. a fish. These vehicles are called biomimetic. They are driven by undulating propulsion, imitating wavy motion of fins and they can submerge using ballast tank called an artificial swim bladder. In the paper, problem of depth stabilization of biomimetic underwater vehicle (BUV) which was not equipped with a swim bladder is undertaken. At the beginning of the paper, introduction to the research area of biomimetic underwater vehicles is inserted. Then, the mathematical model of BUV with the new undulating propulsion is presented. Next, the controllers for depth stabilization used in the numerical research are described. The BUV model and depth controllers were implemented in Matlab environment for making numerical tests. At the end of the paper, the selected results of the numerical research are presented and then, the conclusions are formulated.


Title of the Paper: Camera Calibration Approach Based on Iteration

 

Authors: Min Han, Jiangming Kan, Yutan Wang

Pages: 106-111

Abstract: Tsai’s camera calibration method is widely used, but the accuracy of calibration must be improved. To further improve the calibration accuracy, this paper first introduces Tsai’s calibration principles and analyzes the factors that affect the accuracy of Tsai’s calibration method. Then, an improved method of camera calibration based on iteration is proposed. The method solves the problem of approximating the principal point to the image center in Tsai’s method, and then the objective function and the initial value of search are designed considering the speed of the optimizing search and calculated amount. Finally, the experimental results show that the accuracy of the calibration method is significantly improved compared with Tsai’s.


Title of the Paper: Construction and Chaos Properties Analysis of a Quadratic Polynomial Surjective Map

 

Authors: Jun Tang, Jianghong Shi, Zhenmiao Deng

Pages: 100-105

Abstract: In this paper, a kind of quadratic polynomial surjective map (QPSM) is constructed, and the topological conjugation of the QPSM and tent map is proven. With the probability density function (PDF) of the QPSM being deduced, an anti-trigonometric transform function is proposed to homogenize the QPSM. The information entropy, Kolmogorov entropy (KE), and discrete entropy (DE) of the QPSM are calculated for both the original and homogenized maps with respect to different parameters. Simulation results show that the information entropy of the homogenized sequence is close to the theoretical limit and the discrete entropy remains unchanged, which suggest that the homogenization method is effective. Thus, the homogenized map not only inherits the diverse properties of the original QPSM but also possesses better uniformity. These features make it more suitable to secure communication and noise radar.


Title of the Paper: G3-PLC Physical Layer Signal Processing Based on Mixed Window Function

 

Authors: Feng Zhang, Shangjun Yang, Li Zhao, Feng Xiao

Pages: 94-99

Abstract: In the signal processing of G3-PLC physical layer, ROBO mechanism is often used to ensure reliability in strong noise interference. But for non-Gauss channels, ROBO processing has the limited ability to improve communication reliability. Aiming at the existing problem of ROBO, analyzing the noise spectrum in the power line, FIR digital filter is introduced into the physical layer of G3-PLC in this paper. FIR band-pass digital filter is used to remove the out of band noise, enhancing the effect of ROBO processing, thereby improving communication reliability. Through the analysis of the main lobe width and the stop band attenuation, the mixed window function with reasonable parameters is used in the design of the filter to improve the denoising performance of the filter. The reliability and efficiency of the algorithm are simulated by measurement power line noise. The results show that the FIR filtering algorithm based on mixed window function has the coding gain of 1 to 2dB.Combined with ROBO processing, the algorithm has a coding gain of about 7dB to 8dB.The FIR filtering of signal in physical layer based on mixed window function is an effective way to improve the reliability of G3-PLC communication under strong noise interference in practical applications.


Title of the Paper: Adaptive Waveform Selection Based on Relative Value Iteration

 

Authors: Bin Wang

Pages: 88-93

Abstract: Traditional radar lacks flexibility, and modern science and technology promote the progress of radar technology. Modern intelligent radar should transmit different waveforms in different working conditions. In this paper, we set up radar detection model based on range-Doppler resolution cell and make analysis of matched filtering. We introduce reward theory and establish stochastic dynamic programming model of waveform selection. In order to overcome the shortcoming of backward recursion method, we propose a relative value iteration method. In simulation part, we compare fixed waveform, relative value iteration method and the optimal waveform selection scheme. Simulation results show that the method we proposed has lower tracking errors. Meanwhile, relative value iteration method approaches the optimal waveform selection scheme. Finally, a summary of the full paper is presented.


Title of the Paper: Parallel Swarm Intelligence Algorithm for Grid Scheduling Based on Multiple Objectives Optimization

 

Authors: Xiaohong Kong, Hao Guo, Wenqiang Yang, Baochun Wang

Pages: 81-87

Abstract: Grid aggregates enormous resources spanning different geographic organizations and shares them together to provide powerful computation ability and tremendous memory with low cost. Grid is a potential trend for large-scale computation and complex engineering problems. But grid resources allocation and tasks scheduling are huge challenges due to its dynamic characteristic and heterogeneous architecture. This paper proposes a parallel ant colony algorithm and ant colony is divided into subgroups. Each subgroup searches solution space respectively to enhance the global ability of algorithm. Further, subgroups interchange the information periodically to speed the algorithm convergence and avoid local optimum based on message sharing. Dynamical heuristics information and adaptive pheromone updating are implemented to optimize multi-objectives for grid scheduling. The algorithm is simulated in master-slave system with distributed memory architecture and Gridsim environment. The experiment results are compared with different algorithms and prove that the proposed algorithm can improve the solution quality as well as load balance.


Title of the Paper: Simulation of Negative Influences on the CWDM Signal Transmission in the Optical Transmission Media

 

Authors: Rastislav Róka, Martin Mokráň, Pavol Šalík

Pages: 75-80

Abstract: This lecture is devoted to the simulation of negative influences in the environment of optical transmission media. An attention is focused on main features and characteristics of environmental influences at the CWDM signal transmission. Shortly, basic principles of the wavelength division multiplexing systems are presented utilizing especially the Coarse WDM technique. Consequently, a simulation model for the appropriate CWDM optical transmission path is introduced with short descriptions of functional blocks representing technologies utilized in this specific environment. The created Simulink modeling scheme of real environmental conditions at the signal transmission using the Coarse Wavelength Division Multiplexing (CWDM) allows executing different requested analyses for advanced optical signal processing techniques. Finally, some results from the CWDM simulation are introduced for the signal transmission influenced by different negative effects in the optical transmission medium. Using the presented simulation model, it is possible analyzing transmitted optical signals with eye diagrams and determined the impact of negative influences on the optical frequency spectrum.


Title of the Paper: Latency Optimized Asynchronous Early Output Ripple Carry Adder based on Delay-Insensitive Dual-Rail Data Encoding

 

Authors: P. Balasubramanian, K. Prasad

Pages: 65-74

Abstract: Asynchronous circuits employing delay-insensitive codes for data representation i.e. encoding and following a 4-phase return-to-zero protocol for handshaking are generally robust. Depending upon whether a single delay-insensitive code or multiple delay-insensitive code(s) are used for data encoding, the encoding scheme is called homogeneous or heterogeneous delay-insensitive data encoding. This article proposes a new latency optimized early output asynchronous ripple carry adder (RCA) that utilizes single-bit asynchronous full adders (SAFAs) and dual-bit asynchronous full adders (DAFAs) which incorporate redundant logic and are based on the delay-insensitive dual-rail code i.e. homogeneous data encoding, and follow a 4-phase return-to-zero handshaking. Amongst various RCA, carry lookahead adder (CLA), and carry select adder (CSLA) designs, which are based on homogeneous or heterogeneous delayinsensitive data encodings which correspond to the weak-indication or the early output timing model, the proposed early output asynchronous RCA that incorporates SAFAs and DAFAs with redundant logic is found to result in reduced latency for a dualoperand addition operation. In particular, for a 32-bit asynchronous RCA, utilizing 15 stages of DAFAs and 2 stages of SAFAs leads to reduced latency. The theoretical worst-case latencies of the different asynchronous adders were calculated by taking into account the typical gate delays of a 32/28nm CMOS digital cell library, and a comparison is made with their practical worst-case latencies estimated. The theoretical and practical worst-case latencies show a close correlation. The proposed early output 32-bit asynchronous RCA, which contains 2 stages of SAFAs in the least significant positions and 15 stages of DAFAs in the more significant positions, reports the following optimizations in latency over its architectural counterparts for a similar adder size: i) 35.3% reduction in latency over a weakindication section-carry based CLA (SCBCLA), ii) 30.5% reduction in latency over a weak-indication hybrid SCBCLA-RCA, iii) 20.2% reduction in latency over an early output recursive CLA (RCLA), iv) 18.7% reduction in latency over an early output hybrid RCLA-RCA, and v) a 13% reduction in latency over an early output CSLA that features an optimum 8-8-8-8 uniform input partition.


Title of the Paper: Design and Implementation of the DAB/DMB Transmitter Identification Information Decoder

 

Authors: Hongsheng Zhang, Hongyun Wang, Guoyu Wang, Mingying Lu

Pages: 59-64

Abstract: The Transmitter Identification Information (TII) provides unambiguous identification of each transmitter in a Digital Audio Broadcast (DAB) and Digital Multimedia Broadcast (DMB) network. Recent researches showed that some useful services, such as location and automatic emergency alert, can be efficiently implemented with the assistance of TII. However many DAB/DMB receivers do not have the TII decoding functionality because the implementation of TII is optional in the standard. This has blocked the application of the new services. In this paper, the TII coding theory is analyzed and the design method of the TII decoder is reported. The proposed method can be either implemented in software, enabling the software-based DAB/DMB receivers to add TII decoding ability simply though firmware updating, or embedded in the hardware of a DAB/DMB baseband chip at a very low cost of only 286 logic elements and 1280 memory bits.


Title of the Paper: Forest Target Classification Research Based on Multi-Class Gauss Kernel Fuzzy Support Vector Machine

 

Authors: Zhihui Dai, Qingqing Huang, Wenbin Li, Chaoyi Zhang

Pages: 52-58

Abstract: For the measurement system of artificial forest environment, it was necessary to import pattern recognition method to identify and classify the different targets such as living trees and obstacles in forest environment. The features selection directly affected the classifier performance. This paper content based on independent objects’ fusion point cloud data, extracted the target feature with clear distinction function, proposed a forest target classification method which based on multi-class Gauss particle size fuzzy support vector machine, the main contents were as follows: the forest environment independent objects semantic classification was unknown, the image data after segmentation and 3D laser point cloud data extraction, were used to extract the artificial forest target and obstacles color, shape, reflection strength and characteristics of three-dimension space. The import of Gauss particle size enhanced the fuzzy support vector machine which based on linear support vector machine classifier, and put forward the rise of membership function distribution based on semi convex, the decision directed acyclic graph was extended to multi-class classification. Through a large number of samples in training and learning under plantation environment, it proved that this method can effectively identify the plantation environment under the trees, fire, pedestrian these three target. Through the model parameter optimization, comprehensive average correct recognition rate can reach 96%, this result can provide accurate recognition for forest firefighter.


Title of the Paper: Techniques to Improve the Denoising for Wind Profiler Time Series Data

 

Authors: P. Krishna Murthy, S. Narayana Reddy

Pages: 44-51

Abstract: The lower atmospheric signals, which are processed in the present work has been obtained from the LAWP radar at the National Atmospheric Research Laboratory (NARL), Gadanki, India. The Radar wind profiler is most suitable remote sensing tool for measuring the height profile of wind vector with high resolutions in both time and space in all weather conditions. The term wind profiling radar is often used to emphasize the operational applications of the clear air radar technique and operating at lower and middle UHF bands. These radars can measure the wind profiles in the first few kilometers of the atmosphere. They include boundary layer convergence processes and their relationship to atmospheric convection, mountain drainage flows and urban pollution studies. This paper discusses denoising the wind profiler data using Empirical Mode Decomposition (EMD), Peak Detection Technique (PDT) and Daubechies wavelets. Effective Doppler shift for LAWP data is obtained by using Db11 wavelet and compared with the different signal processing techniques. The Result shows that there is an effective doppler shift after using Db11 wavelet for LAWP signals.


Title of the Paper: Optimization of Wireless Networks Performance: an Approach Based on a Partial Penalty Method

 

Authors: I. V. Konnov, O. A. Kashina, E. Laitinen

Pages: 37-43

Abstract: We study an optimization problem for a wireless telecommunication network stated as a generalized transportation problem (TP), where (the number of “sellers” ) is the number of network providers, and (the number of “buyers”) is the number of connections established at a given time moment. Since in practice initial data of such problems are, generally speaking, inexact and/or vary rather quickly, it is more important to obtain an approximate solution of the problem (with a prescribed accuracy) within a reasonable time interval rather than to solve it precisely (but in a longer time). We propose to solve this problem by a technique that explores the idea of penalty functions, namely, the so-called Partial Penalty Method (PPM, for short). As distinct from exact solution methods for TP (e.g., the method of potentials), our approach allows us to further extend the class of considered problems by including to it TP with nonlinear objective functions. As an example, we consider a TP, where the objective function (expenses connected with resource allocation) is such that the price of the unit amount of the resource is not constant but depends on the total purchase size. In addition, we study the limit behavior of solutions to TP whose data are subject to fading disturbances. Since in our approach the initial point is not necessarily admissible, we use an approximate solution of each problem as the initial point for the next one. As expected, under certain requirements to disturbances the sequence of solutions to “disturbed” problems tends to a solution of the limit problem. We prove experimentally that PPM is more efficient than the usual variant of the Penalty Function Method (the Full Penalty Method, or FPM). The preference of PPM over FPM is more evident for n much greater than m.


Title of the Paper: An Innovative Nature-Inspired Heuristic Combined with Response Surface Methodology to find the Optimal Region in Discrete Event Simulation Models

 

Authors: Cassettari Lucia, Mosca Marco, Mosca Roberto, Giribone Pier Giuseppe

Pages: 27-36

Abstract: The search for a stationary point in the study of Discrete Event Simulation models is a complex problem. This is because the equation of the objective function is never known a priori to the experimenter. In the case of restricted investigation domains the Response Surface Methodology typically provides, through the use of Central Composite Design, the experimental design most suitable for the construction of first and second order regression meta-models. The problem becomes more complex when the domain to be investigated is larger because, in that case, it becomes impossible to identify a meta-model regression able to describe the behaviour of the objective function on the entire domain. Such a limitation can be overcome by an appropriate use of research techniques such as gradiental or direct search methods. However, the presence in the domain of local stationary points may affect their effectiveness and forces the experimenter to track the investigation starting from several points of the domain, with a consequent increase in the number of function evaluations and computational time. In more recent times global research techniques have been developed, often inspired by natural processes. However they generally not perform well applied to Discrete Event Simulation models. For this reason the Authors have developed a new search algorithm called Attraction Force Optimization (AFO). The proposed approach applied to industrial problems up to 10-dimensional, offers significant advantages in terms of both exploration capacity and convergence speed. An application of the proposed technique to a real industrial case completes the discussion.


Title of the Paper: Improved Whale Optimization Algorithms Based on Inertia Weights and theirs Applications

 

Authors: Hongping Hu, Yanping Bai, Ting Xu

Pages: 12-26

Abstract: Whale optimization algorithm (WOA), which mimics the social behavior of humpback whales, was proposed by Seyedali Mirjalili and Andrew Lewis in 2016.This paper introduces the inertia weights to WOA to obtain the improved whale optimization algorithms(IWOAs). IWOAs are tested with 27 mathematical benchmark functions and are applied to predict daily air quality index(AQI) of Taiyuan.The results show that IWOAs with inertia weights are superior to WOA,FOA,ABC,and PSO on the minimum of benchmark functions and are very competitive for prediction compared with WOA and PSO.


Title of the Paper: Extended Critical Directions for Time-Control Constrained Problems

 

Authors: Karla L. Cortez del Rio, Javier F. Rosenblueth

Pages: 1-11

Abstract: We derive in this paper second order necessary conditions for certain classes of optimal control problems involving inequality and equality constraints in the time variable and the control functions. We study different normality conditions found in the literature which can be imposed on solutions to the problem and provide a new approach, partly based on the theory for constrained problems in finite dimensional spaces, which under mild assumptions allows us to enlarge the usual set of critical directions.