International Journal of Circuits, Systems and Signal Processing

   
E-ISSN: 1998-4464
Volume 15, 2021

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.

Main Page

Submit a paper | Submission terms | Paper format

 


Volume 15, 2021


Title of the Paper: Algorithms for Classification of Signals Derived From Human Brain

 

Authors:  Georgi P. Dimitrov, Galina Panayotova, Boyan Jekov, Pavel Petrov, Iva Kostadinova, Snejana Petrova, Olexiy S. Bychkov, Vasyl Martsenyuk, Aleksandar Parvanov

Pages: 1521-1526    


Title of the Paper: Nield-Kuznetsov Functions: Current Advances and New Results

 

Authors:  M.H. Hamdan, S. Jayyousi Dajani, M.S. Abu Zaytoon

Pages: 1506-1520    


Title of the Paper: Systematic Structural and Optical Characterization of TiO2 Nanofibers Synthesised by Electrospinning

 

Authors:  Oscar Secundino-Sánchez, José F. Sánchez-Ramírez, Joel Diaz -Reyes

Pages: 1497-1505    


Title of the Paper: Inhomogeneous Airy’s and Generalized Airy’s Equations with Initial and Bounday Conditions

 

Authors:  M.H. Hamdan, S.M. Alzahrani, M.S. Abu Zaytoon, S. Jayyousi Dajani

Pages: 1486-1496    


Title of the Paper: Making Use of Functional Dependencies Based on Data to Find Better Classification Trees

 

Authors:  Hyontai Sug

Pages: 1475-1485    


Title of the Paper: Structural Analysis of 8/6 Switched Reluctance Motor Linear and Non-linear Models

 

Authors:  J. D. González-San Román, J. U. Liceaga-Castro, I. I. Siller-Alcalá, E. Campero-Littlewood

Pages: 1464-1474    


Title of the Paper: Preparation and Characterization of Magnetite – Silica Core – Shell Nanoparticles

 

Authors:  S. N. Vakhneev, Minggong Sha

Pages: 1457-1463    


Title of the Paper: Synthesis and Characterization of Metal-Organic Polymer based on Fe(III)

 

Authors:  O. S. Tarasenko, E. I. Starovoitov

Pages: 1450-1456    


Title of the Paper: Investigation of Adsorption Capacity of Metal-Organic Polymers

 

Authors:  S. N. Vakhneev, Yan Naing Min

Pages: 1443-1449    


Title of the Paper: Study of Thermophysical Properties of Polymer Materials Enhanced by Nanosized Particles

 

Authors:  O. V. Tushavina, G. I. Kriven, Thant Zin Hein

Pages: 1436-1442    


Title of the Paper: Study of Electric Conductivity of Low-Density Polyethylene with Copper Nanoparticles

 

Authors:  O. S. Tarasenko, Kyaw Ye Ko

Pages: 1429-1435    


Title of the Paper: Preparation and Characterization of Polymer Composite Materials Containing Magnetite

 

Authors:  E. R. Sadretdinova, Thant Zin Hein

Pages: 1421-1428    


Title of the Paper: Application of Vinyl ether Copolymers for Surface Modification of Carbon Black

 

Authors:  A. V. Perchenok, E. V. Suvorova, A. A. Farmakovskaya, V. Kohlert

Pages: 1414-1420    


Title of the Paper: Synthesis and Structure of Nanocomposites based on Linear Polymers and Nanoparticles of Titanium Dioxide

 

Authors:  Elena Kuznetsova, Tran Quyet Thang

Pages: 1407-1413    


Title of the Paper: Dielectric Properties of Nanocomposites based on Epoxy Resins and Titanium Dioxide

 

Authors:  A. G. Getmanov, Tran Quyet Thang

Pages: 1400-1406    


Title of the Paper: Analytical Drain-Current Model and Surface-Potential Calculation for Junctionless Cylindrical Surrounding-Gate MOSFETs

 

Authors:  Billel Smaani, Samir Labiod, Fares Nafa, Mohamed Salah Benlatreche, Saida Latreche

Pages: 1394-1399    


Title of the Paper: Synthesis of a Sparse Planar Phased Array Antenna with Reduced Side-Lobe Level and Beam-Width using Particle Swarm Optimization

 

Authors:  Sivaranjan Goswami, Kumaresh Sarmah, Kandarpa Kumar Sarma, Nikos E. Mastorakis

Pages: 1387-1393    


Title of the Paper: Segmentation and Selective Feature Extraction for Human Detection to the Direction of Action Recognition

 

Authors:  Lakhyadeep Konwar, Anjan Kumar Talukdar, Kandarpa Kumar Sarma, Navajit Saikia, Subhash Chandra Rajbangshi

Pages: 1371-1386    


Title of the Paper: 2x2 Grid Array Design with E-shaped Microstrip Elements

 

Authors:  Juhi K. Baruah, Sivaranjan Goswami, Kandarpa Kumar Sarma, Nikos E. Mastorakis

Pages: 1365-1370    


Title of the Paper: Applied Systems Theory: Mathematical and Numerical Simulation of Strength of Thick-wall Pipe by Using Static Elastic Problems

 

Authors:  Natela Zirakashvili

Pages: 1346-1364    


Title of the Paper: Signal Segmentation Using Maximum a Posteriori Probability Estimator with Application in Artifact ”corrected” EEG Data

 

Authors:  Theodor D. Popescu

Pages: 1336-1345    


Title of the Paper: Application of Compact Finite Difference Method for Solving Some Type of Fractional Derivative Equations

 

Authors:  Mahboubeh Molavi-Arabshahi, Zahra Saeidi

Pages: 1324-1335    


Title of the Paper: Noise Removal Algorithm for Out-of-focus Blurred Images Based on Bilateral Filtering

 

Authors:  Wenfang Zhang, Chi Xu

Pages: 1314-1323    


Title of the Paper: Quantitative Model of Enterprise Financial Risk Management Based on Nonlinear Differential Equation

 

Authors:  Hui Yang, Guixian Tian, Yongchao Tao

Pages: 1305-1313    


Title of the Paper: Unique Analysis Approach to Bridge-T Network using Floating Admittance Matrix Method

 

Authors:  Sanjay Kumar Roy, Brahmadeo Prasad Singh, Kamal Kumar Sharma, Cherry Bhargava

Pages: 1297-1304    


Title of the Paper: Properties and Applications of a Tan–G Family of ”Adaptive Functions”

 

Authors:  Nikolay Kyurkchiev, Anton Iliev, Asen Rahnev

Pages: 1292-1296    


Title of the Paper: Application of a Memristive Neural Network for Classification of COVID-19 patients

 

Authors:  Stoyan Kirilov, Violeta Todorova, Ognyan Nakov, Valeri Mladenov

Pages: 1282-1291    


Title of the Paper: The Integration of Fuzzy-ISM, Fuzzy-AHP, and Fuzzy-MICMAC Approach under Trapezoid Fuzzy Linguistic to Analyze Enablers of The Logistics Outsourcing Relationship: Mekong Delta, Vietnam Rice Supply Chain Context

 

Authors:  Nguyen Thang Loi, H.T.T Hoa, P.D.T.Anh, N.D.Khoi, N.T.K.My, N.T.Luan

Pages: 1260-1281    


Title of the Paper: A Pretreatment Method of Volterra the External Boundary Value Problem of Integral Differential Equations

 

Authors:  Xiaojuan Chen, Xiaoxiao Ma

Pages: 1252-1259    


Title of the Paper: Network Communication Data Encryption Method Based on Wireless Channel Characteristics

 

Authors:  Jingxiang Zhong

Pages: 1242-1251    


Title of the Paper: Solving Nonlinear Wave Equation Based on Topology

 

Authors:  Liang Song, Guihua Li, Shaodong Chen

Pages: 1232-1241    


Title of the Paper: Numerical Analysis and Comparison of Gridless Partial Differential Equations

 

Authors:  Zhao Zhang

Pages: 1223-1231    


Title of the Paper: Construction of Evolutionary Mathematical Model of Hierarchical Network Topology

 

Authors:  Min Yang

Pages: 1214-1222    


Title of the Paper: Algorithm for Key Classification Feature Selection of Big Data Based on Henie Theorem

 

Authors:  Wei Wang

Pages: 1208-1213    


Title of the Paper: Influencing Factors of Undergrowth Economic Growth From the Perspective of Linear Analysis

 

Authors:  Chao Wang, Jiehua Lv, Qiumin Zhao

Pages: 1197-1207    


Title of the Paper: Capacitor-less Low-Dropout Regulator for Analog Sensing using 90nm Technology

 

Authors:  Pavan M. S., M. Nagabushanam, Sushmita Hawaldar, S. L. Gangadharaiah

Pages: 1184-1196    


Title of the Paper: A Novel Conditioning Circuit for Floating-Gate ISFET Bio-Sensor

 

Authors:  Ahmed Gaddour, Hafedh Ben Hassen, Wael Dghais, Hamdi Belgacem, Mounir Ben Ali

Pages: 1174-1183    


Title of the Paper: Efficient Monocular Depth Estimation with Transfer Feature Enhancement

 

Authors:  Ming Yin

Pages: 1165-1173    


Title of the Paper: Adaptive Coordinated Control Strategy of Multi Manipulator System based on Multi-Agent

 

Authors:  Nianen Zhu, Jiang Han, Lian Xia, Hui Liu

Pages: 1159-1164    


Title of the Paper: Research on the Extraction Method of Book Number Region Based on Bayesian Optimization and Deep Learning

 

Authors:  Qianqian Zhang, Jianglei Sun, Jing Zhao, Zilin Xia, Kai Zhang

Pages: 1150-1158    


Title of the Paper: Optimal Operation Solution for Public Bicycles Based on Genetic Algorithm

 

Authors:  Pinhong Zeng

Pages: 1141-1149    


Title of the Paper: A Novel Filtering Recommendation Algorithm for User Emergency Information Adoption

 

Authors:  Xiaoying Yao, Chunnian Liu, Yingfei Zhu

Pages: 1133-1140    


Title of the Paper: A Novel Evolutionary Game Model of the Behavior of Stakeholders in the Field of E-commerce Live Broadcasting

 

Authors:  Dandan Qi, Jingwen Fang, Mingliang Li, Ping Han

Pages: 1124-1132    


Title of the Paper: Simulation Optimization of Backrest Mechanism of Separable Bed Chair System

 

Authors:  Meng Ning, Zhi Wu, Lianjie Chen, Fan Zhang, Huitao Chen

Pages: 1114-1123    


Title of the Paper: An Improved Decision Tree Algorithm for Condition Monitoring on Storage Power Station of Internet Things

 

Authors:  Gengze Li, Shuaixuan Li, Jun Yan

Pages: 1109-1113    


Title of the Paper: A Dynamic Evolutionary Game Model of Collaborative Innovation in Manufacturing Services Industry and Manufacturing Industry

 

Authors:  Deguang Liu

Pages: 1099-1108    


Title of the Paper: An Improved Temperature Compensation Method for Fiber Bragg Grating Pressure Sensor Based on Extreme Learning Machine

 

Authors:  Hongying Guo, Jiang Chen, Zhumei Tian, Aizhen Wang

Pages: 1091-1098    


Title of the Paper: Adaptive Directional Cubic Convolution for Integrated Circuit Chip Defect Image Interpolation

 

Authors:  Yuan Chao, Chengxia Ma, Wentao Shan, Junping Feng, Zhisheng Zhang

Pages: 1084-1090    


Title of the Paper: Research on Detection Method of Pea Seed Vigor based on Hyperspectral Imaging Technology

 

Authors:  Luo Qinjuan, Wang Lianming, Zhao Xiaoqing, Qian Hua, Yan Lei

Pages: 1072-1083    


Title of the Paper: No-Reference Retinal Image Sharpness Metric Using Daubechies Wavelet Transform

 

Authors:  P. Vonghirandecha, P. Bhurayanontachai, S. Kansomkeat, S. Intajag

Pages: 1064-1071    


Title of the Paper: A Multi Logistics Network Optimization Model of Power System based on Stochastic Demand and Inventory Decision

 

Authors:  Youpeng Zhang, Jibin Zhu, Yunxin Chang, Yonghao Guo and Chaofeng Zhu

Pages: 1057-1063    


Title of the Paper: A Customer Clustering Algorithm for Power Logistics Distribution Network Structure and Distribution Volume Constraints

 

Authors:  Jianying Zhong, Jibin Zhu, Yonghao Guo, Yunxin Chang, Chaofeng Zhu

Pages: 1051-1056    


Title of the Paper: A Point of Interest Data Method of Pingshan Village’s Spatial Pattern Coupling with Business Form

 

Authors:  Li Chunta, Bi Huiyu, Chen Zhenha

Pages: 1041-1050    


Title of the Paper: Research on Control System of 5-DOF Magnetic Suspension Flywheel Battery

 

Authors:  Runxian Yang, Tao Tao

Pages: 1033-1040    


Title of the Paper: Design and Implementation of an Air Quality Testing System Based on STC12C5A

 

Authors:  Fenglong Wu, Fangmei Liu, Yuan Feng, Zengyu Cai

Pages: 1025-1032    


Title of the Paper: Analysis of Financial Statement and Prewarning of Audit Risks Based on Artificial Neural Network

 

Authors:  Yanxia Zhang

Pages: 1015-1024    


Title of the Paper: Interference Suppression and Resource Allocation Strategies Based on IoT Monitoring

 

Authors:  Bin Wu, Bingxin Yao, Yin Yang, Chaoran Zhou, Ning Zhu

Pages: 1005-1014    


Title of the Paper: Research on Speech Recognition Method in Multi Layer Perceptual Network Environment

 

Authors:  Kai Zhao, Dan Wang

Pages: 996-1004    


Title of the Paper: A Consumer-Oriented Car Style Evaluation System Based on Fuzzy Mathematics and Neural Network

 

Authors:  Wenhui Hou, Caiwen Niu

Pages: 986-995    


Title of the Paper: The Method of Communication System Fault Diagnosis Based on Deep Belief Net

 

Authors:  Juan Li, Bin Chen

Pages: 978-985    


Title of the Paper: Ground Segmentation Algorithm of Lidar Point Cloud Based on Ray-Ransac

 

Authors:  Yawei Zhao, Yanju Liu, Yang Yu, Jiawei Zhou

Pages: 970-977    


Title of the Paper: A Lightweight Hybrid Detection Method for Botnet

 

Authors:  Wei Ma, Xing Wang, Jiguang Wang, Qianyun Chen

Pages: 960-969    


Title of the Paper: A Fast Otsu Thresholding Method Based on an Improved 2D Histogram

 

Authors:  Yanli Tan, Yongqiang Zhao

Pages: 953-959    


Title of the Paper: Automatic Calculation Method of Load Resonant Frequency of Photovoltaic Power Supply

 

Authors:  Xinying Zhao, Kun Luo

Pages: 945-952    


Title of the Paper: Combined With Local Neighborhood Characteristics and Remote Sensing Image Fusion Method of C-BEMD

 

Authors:  Peili Fan

Pages: 936-944    


Title of the Paper: Medical Image Segmentation Algorithm Based on Multi-scale Color Wavelet Texture

 

Authors: Qi Zhang, Yan Li

Pages: 928-935    


Title of the Paper: Bayesian Acyclic Network Based Environmental Footprint Risk Assessment System for Oil and Gas Industry

 

Authors:  Agnel Cyriac Philip, Egils Ginters, Dilara Basdogan

Pages: 913-927    


Title of the Paper: Multi-type Parameter Prediction of Traffic Flow Based on Time-space Attention Graph Convolutional Network

 

Authors:  Guoxing Zhang, Haixiao Wang, Yuanpu Yin

Pages: 902-912    


Title of the Paper: Multi-directional Feature Positioning Retrieval Method of Random Encrypted Images

 

Authors:  Fuwei Huang

Pages: 895-901    


Title of the Paper: Design of a Power-Efficient Low Complexity Non Maximally Coefficient Symmetry Multi Rate Filter Bank for Wideband Channelization

 

Authors:  Kirti Samir Vaidya, C. G. Dethe, S. G. Akojwar

Pages: 883-894    


Title of the Paper: Co-evolution of Construction Waste Recycling Industrial Chain Based on Lotka–volterra Model

 

Authors:  Yanqing Xiao, Jingkuang Liu, Yongshi Pang

Pages: 859-882    


Title of the Paper: Analysis of the Factors Affecting the Employment Quality of University Graduates by DEMATEL / ISM Method

 

Authors:  Wei Wang, Jian Liu, Shubing Qiu

Pages: 847-858    


Title of the Paper: Image Compression and Enlargement Algorithms

 

Authors:  I. G. Burova, Yu. K.Demyanovich, A. N. Terekhov, A. Yu. Altynova, A. D. Satanovskiy, A. A. Babushkin

Pages: 836-846    


Title of the Paper: A Wiener Model Based Closed Loop FES for Positional Control During Wrist Flexion

 

Authors:  Mahendra S. J., Vishwanath Talasila, Abhilash G. Dutt

Pages: 829-835    


Title of the Paper: An Infrared Image Target Segmentation based on Improved Threshold Method

 

Authors:  Manzeng Ma, Dan Liu, Ruirui Zhang

Pages: 820-828    


Title of the Paper: A Fast Image Compression Algorithm based on Wavelet Transform

 

Authors:  Xiangjun Li, Shuili Zhang, Haibo Zhao

Pages: 809-819    


Title of the Paper: Key Protected Deputy Signature Scheme Against the Deputy Signing Key Exposure

 

Authors:  Jianhong Chen, Kun Yu, Wenhao Wang

Pages: 800-808    


Title of the Paper: Artificial Immune Algorithm-based Airplane Path Planning under Complicated Environment

 

Authors:  Lifeng Liu, Zongwei Niu

Pages: 792-799   


Title of the Paper: Return Prediction based on Discriminating market-styles with Reinforcement Learning

 

Authors:  Zhiguo Bao, Shuyu Wang

Pages: 782-791    


Title of the Paper: Face Detection and Recognition Method based on Improved Convolutional Neural Network

 

Authors:  Zhengqiu Lu, Chunliang Zhou, Xuyang, Weipeng Zhang

Pages: 774-781    


Title of the Paper: Markov Chain and Adaboost Image Saliency Detection Algorithm based on Conditional Random Field

 

Authors:  Biao Lu, Nannan Liang, Chengfang Tan, Zhenggao Pan

Pages: 762-773    


Title of the Paper: Agent-based Modeling and Simulation of Sponsor Effecting on Group Activities

 

Authors:  Shulin Liang, Wang Hu

Pages: 753-761    


Title of the Paper: Applied Systems Theory and Financial Systems. An Empirical Research of a Model with Moderate Variable Added on the 'CSR—CFP' Linear Relationship

 

Authors:  Qi Tai Song Shen, Xiao Fei Wang, Jian Yu

Pages: 745-752    


Title of the Paper: Design and Performance Analysis of Low Power and High Throughput of Analog Data Compression and Decompression using ANN in 32nm FinFET Technology

 

Authors:  G. K. Venkatesh, S.Bhargavi, Basavaraj V. Hiremath, Anil Kumar C.

Pages: 730-744    


Title of the Paper: Research on De-noising of Downhole Engineering Parameters by Wavelet based on Improved Threshold Function

 

Authors:  Ming Luo, Liang Ge, Zhibo Xue, Jiawei Zhang,Yanjun LI, Xiaoting Xiao

Pages: 722-729    


Title of the Paper: Optimization of Sparse Learning Problem of Signals on Hybrid mm-Wave MIMO Systems using Sparse Coding based Reconstruction Learning Mechanism

 

Authors:  Sunil Kumar M., Narayanappa C. K., Nagendra Kumar M.

Pages: 713-721    


Title of the Paper: Performance Analysis of Low Energy and high-speed DA-RNS based FIR Filter Design for SDR Applications on FPGA

 

Authors:  Mohan Kumar B. N., Rangaraju H. G.

Pages: 700-712    


Title of the Paper: FinFET based Design and Performance Analysis of Nano-processor for Low Area, Low Power and Minimum Delay using 32nm

 

Authors:  Anil Kumar. D

Pages: 690-699    


Title of the Paper: Face Tracking via Content Aware Correlation Filter

 

Authors:  Houjie Li, Shuangshuang Yin, Fuming Sun, Fasheng Wang

Pages: 677-689    


Title of the Paper: An Entropy Weight Method of Collaborative Degree Model between Producer Service Industry and Manufacturing Industry

 

Authors:  Deguang Liu

Pages: 672-676    


Title of the Paper: Cascade Configuration of Modal Filters for Power Bus Protection in Differential and Common Modes

 

Authors:  Valerii Kosteletskii

Pages: 666-671    


Title of the Paper: A Multi-Target Tracking and Detection Algorithm for Wireless Sensor Networks

 

Authors:  Gang Wang

Pages: 661-665    


Title of the Paper: User Behavior Identification and Personalized Recommendation based on Web Data Mining

 

Authors:  Ya Wang

Pages: 651-660    


Title of the Paper: An Intrusion Intention Analysis Algorithm based on Attack Graph

 

Authors:  Zhen Zhu, Guofei Chai

Pages: 643-650    


Title of the Paper: Spruce Counting based on Lightweight Mask R-CNN with UAV Images

 

Authors:  Wenjing Zhou, Xueyan Zhu, Mengmeng Gu, Fengjun Chen

Pages: 634-642    


Title of the Paper: Fault Coexistence and Grading Aware TSV Test based on Delay Feature

 

Authors:  Chang Hao, Ni Tianming, Xu Yong, Li Feng, Liang Houjun, Li Yang

Pages: 623-633    


Title of the Paper: A Predictive Control Model for Master Slave Robotic Manipulator with RBF Neural Network

 

Authors:  Youjian Lei

Pages: 617-622    


Title of the Paper: Detection of Surface Defects in Logs using Point Cloud Data and Deep Learning

 

Authors:  Shengbo Liu, Pengyuan Fu, Lei Yan, Jian Wu, Yandong Zhao

Pages: 607-616    


Title of the Paper: Design and Implementation of Travelling Wave Electrode Silicon Mach Zehnder Modulator based Plus-Shaped PN Junction Phase Shifter for Data Centre Application

 

Authors: R. G. Jesuwanth Sugesh, A. Sivasubramanian

Pages: 595-606    


Title of the Paper: Design and Implementation of 64-bit SRAM and CAM on Cadence and Open-source environment

 

Authors: N. Shylashree, Yatish D. Vahvale, N. Praveena, A. S. Mamatha

Pages: 586-594    


Title of the Paper: Modeling on Disruption Risk Prediction of Manufacturing Supply Chain Based on C4.5 Algorithm

 

Authors: Weibin Wang, Renyong Chi, Caihong Liu

Pages: 578-585    


Title of the Paper: Nonlinear Dynamics Identification of the Oculo-Motor System based on Eye Tracking Data

 

Authors: Vitaliy Pavlenko, Tetiana Shamanina, Vladislav Chori

Pages: 569-577    


Title of the Paper: A 14-bit High Speed 125MS/s Low Power SAR ADC using Dual Split Capacitor DAC Architecture in 90nm CMOS Technology

 

Authors: Chaya Shetty, M. Nagabushanam, Venkatesh Nuthan Prasad

Pages: 556-568    


Title of the Paper: A Novel Sparse Data Reconstruction Algorithm for Dynamically Detect and Adjust Signal Sparsity

 

Authors: Dongxue Lu, Zengke Wang

Pages: 550-555    


Title of the Paper: An Improved Object Detection Method using Feature Map Refinement and Anchor Optimization

 

Authors: Yuxia Wang, Wenzhu Yang, Tongtong Yuan, Qian Li

Pages: 541-549    


Title of the Paper: Depth Estimation for Monocular Image based on Convolutional Neural Networks

 

Authors: Binglin Niu, Mengxia Tang, Xuelin Chen

Pages: 533-540    


Title of the Paper: A Novel Fuzzy Logic Guided Method for Automatic gEUD-based Inverse Treatment Planning

 

Authors: Caiping Guo, Linhua Zhang, Jiahui Peng

Pages: 525-532    


Title of the Paper: A Novel Image Restoration Method based on Iterative Algorithm

 

Authors: Saiyan Wu, Hui Yang

Pages: 519-524    


Title of the Paper: An Image Reconstruction Algorithm based on Sparse Representation for Image Compressed Sensing

 

Authors: Shuyao Tian, Liancheng Zhang, Yajun Liu

Pages: 511-518    


Title of the Paper: Wavelet Transform and Fractal Theory for Detection and Classification of Self-extinguishing and Fugitive Power Quality Disturbances

 

Authors: S. Lakrih, J. Diouri

Pages: 499-510    


Title of the Paper: Two Stage Steganography on Compressed and Encrypted Message

 

Authors: Kamal Jadidy Aval, Masumeh Damrudi

Pages: 494-498    


Title of the Paper: A Novel Control Method and Mathematical Model for Intelligent Robot

 

Authors: Nianxiang Wu

Pages: 486-493    


Title of the Paper: Text Line Recognition of Dai Language using Statistical Characteristics of Texture Analysis and Deep Gaussian Process

 

Authors: Jingying Zhao, Na Dong, Hai Guo, Yifan Liu, Doudou Yang

Pages: 476-485    


Title of the Paper: The Analysis of Shielding Effectiveness of the Enclosure of an EMI-Filter for a Spacecraft Power Bus

 

Authors: Yevgeniy Zhechev, Alexander Zabolotsky

Pages: 470-475    


Title of the Paper: Design of a Novel Current Mode Charge Pump for Very-Low-Voltage Applications in 130 nm SOI-BCD Technology

 

Authors: Mounir Ouremchi, Karim El Khadiri, Ahmed Tahiri, Hassan Qjidaa

Pages: 461-469    


Title of the Paper: Discrete (G'/G )-expansion: A Method used to Get Exact Solution of FDDE (Fractional Differential-Difference Equation) Linked with NLTL (Non-Linear Transmission Line)

 

Authors: Suchana Mishra, Rabindra Kishore Mishra, Srikanta Patnaik

Pages: 453-460    


Title of the Paper: Noise Elimination of Low-Voltage Power Line Communication Channel using Time-Frequency Peak Filtering Algorithm

 

Authors: Yuanju Mou, Zhizhong Lv, Liang Ge, Xiaoting Xiao, Zhengyin Wang

Pages: 439-452   


Title of the Paper: Improving Event detection in Cricket Videos using Audio Feature Analysis

 

Authors: S. C. Premaratne, A. Gamanayake, K. L. Jayarat, P. Sellappan

Pages: 434-438    


Title of the Paper: Convolutional Neural Networks Model for Emotion Recognition using EEG Signal

 

Authors: Isah Salim Ahmad, Zhang Shuai, Wang Lingyue, Sani Saminu, Abd El Kader Isselmou, Zilian Cai1, Imran Javaid, Souha Kamhi, Ummay Kulsum

Pages: 417-433 


Title of the Paper: Circuit Coupling Model Containing Equivalent Eddy Current Loss Impedance for Wireless Power Transfer in Seawater

 

Authors: Wangqiang Niu, Chen Ye, Wei Gu

Pages: 410-416 


Title of the Paper: Simulation Research on Acoustic Detection Technology of Buried PE Pipes

 

Authors: Bo Chen, Jiao Lan, Liang Ge, Yunfeng Lu, Yingbo Hu, Wenhai Li, Cui Lai, Xiaoting Xiao, Qi Huang

Pages: 400-409 


Title of the Paper: An Improved BP Neural Network Algorithm for Prediction of Roadway Support

 

Authors: Yan-Jun He, Jin-shan Zhang, Chao-Gang Pan

Pages: 393-399 


Title of the Paper: A Matching Method of Heterogeneous Database based on SOM and BP Neural Network

 

Authors: Yongjie Zhu, Shenzhan Feng

Pages: 383-392 


Title of the Paper: Design of Broadband Dual-Polarized Rectenna Array for WPT Applications

 

Authors: Guan-Pu Pan, Kuan-Chih Chiu, Tsung-Lin Li, Jwo-Shiun Sun

Pages: 377-382


Title of the Paper: Integration of Dimension-adaptive Obstacle Avoidance Algorithm in Fuzzy-based Autonomous Vehicle Parking

 

Authors: Naitik M. Nakrani, Maulin M. Joshi

Pages: 367-376 

DOI: 10.46300/9106.2021.15.40     XML

Certificate

Abstract: Sensor-based obstacle avoidance and Autonomous vehicle parking have been immensely researched in recent times. An integration of both will increase the usability of autonomous parking systems in dynamic and uncertain environments. The fuzzy logic theory is widely used to learn expert human skills for machines. However, existing fuzzy-based expert systems generally fail to mimic the natural adaptive skills of humans. The expert driver has a natural tendency to adapt to machine dynamics, especially vehicle-related. This paper proposes a novel non-holonomic dimension-based obstacle avoidance parking algorithm that integrates obstacle avoidance capabilities to a standalone parking controller. This algorithm is developed based on adaptive fuzzy membership inferences concerning passenger cars' different sizes and segments. It is tested for various vehicles in simulation results to show the effectiveness of the algorithm.


Title of the Paper: Applied Systems Theory: Wind Turbine Output Power Prediction based on Wind Energy Utilization Coefficient

 

Authors: Xiaotong Wang, Wangqiang Niu, Wei Gu

Pages: 356-366 

DOI: 10.46300/9106.2021.15.39     XML

Certificate

Abstract: The output power of a wind turbine is the most critical variable reflecting the operating status of the turbine. To improve the interpretability of the prediction model, a segmented output power method based on wind energy utilization coefficient is established. First, the wind energy conversion system of the wind turbine is given, and the SCADA data of a wind turbine is visually analyzed. Then it is proposed to separate the data into three groups according to different operating regions of wind turbines: the Maximum Power Point Tracking region, the rotator speed control region, and the power control region. In the Maximum Power Point Tracking region, wind energy utilization coefficient is found by a fitted cubic polynomial of the tip speed ratio. In the rotator speed control region, a modeling method for determining wind energy utilization coefficient through dynamic labels is designed. In the power control region, the output power is kept at the rated value. Finally, the 3 models are connected so that time-series data can be handled. The SCADA data of a 2.1MW wind turbine is used to verify the above models. The performance of these models is given in the form of Root Mean Square Error, indicating that the output power predicted by this method has good accuracy. The segmented output power model based on wind energy utilization coefficient can simulate the operation process of wind turbines, and has good accuracy and interpretability.


Title of the Paper: Distributed UFIR Filtering with Applications to Environmental Monitoring

 

Authors: Miguel Vazquez-Olguın, Yuriy S. Shmaliy, Oscar Ibarra-Manzano, Sandra Marquez-Figueroa

Pages: 349-355 

DOI: 10.46300/9106.2021.15.38     XML

Abstract: Environmental monitoring requires an analysis of large and reliable amount of data collected through node stations distributed over a very wide area. Equipment used in such stations are often expensive that limits the amount of sensing stations to be deployed. The technology known as Wireless Sensor Networks (WNS) is a viable option to deliver low-cost sensor information. However, unpredictable issues such as interference from electromagnetic sources, damaged and unstable sensors and the landscape itself may cause the network to suffer from unstable links as well as missing and corrupted data. Therefore robust estimators are required to mitigate such effects. In this sense, the unbiased finite impulse response (UFIR) filter is used as a robust estimator for applications over WSN, especially when the process statistics are unknown. In this paper, we investigate the robustness of the distributed UFIR (dUFIR) filter with optimal consensus on estimates against missing and incorrect data. The dUFIR algorithm is tested in two different scenarios of very unstable WSN using real data. It is shown that the dUFIR filter is more suitable for real life applications requiring the robustness against missing and corrupted measurements under the unknown noise statistics.


Title of the Paper: Misalignment and Range Adaptive Wireless Charging System with Constant Current/Constant Voltage Output based on Coupling Coefficient Estimation

 

Authors: Wangqiang Niu, Jiaojiao Liu, Zaixing Chen, Wei Gu

Pages: 334-348 

DOI: 10.46300/9106.2021.15.37     XML

Abstract: Compared with the traditional plug-in charging system, wireless power transfer (WPT) system has the characteristics of electrical and mechanical isolation. A wireless system is proposed suitable for battery charging under misalignment or range variation, and the constant current (CC) and constant voltage (CV) charging are realized by the estimation of coupling coefficient. Firstly, two different operating frequencies based on SS basic compensation structure are designed to realize CC output and CV output respectively. After circuit analysis, CC and CV output cannot be achieved when the position of the secondary coil changes. To solve this issue, when the coil is under misalignment or range variations, the required system parameters are measured, and the coupling coefficient in the charging process is estimated by using the transconductance amplitude equation. Then the corresponding input voltage or working frequency is calculated and fine-tuned. Therefore, the CC and CV charge of the battery can be realized under misalignment or range variation. Finally, experimental results are presented to verify the feasibility and correctness of this method.


Title of the Paper: High Performance DC-to-AC Converter using Snubberless H-Bridge Power Switches and an Improved DC-to-DC Converter

 

Authors: Candidus U. Eya, Ayodeji Olalekan Salau, Stephen Ejiofor Oti

Pages: 315-333 

DOI: 10.46300/9106.2021.15.36     XML

Certificate

Abstract: This paper presents the analysis, modeling, simulation, and implementation of a high performance DC-to-AC (DC-AC) converter. The system comprises of a combination of DC power source, stress less DC-to-DC (DC-DC) voltage converter, two snubberless power switches, and control unit. The system is portable, has a two-stage input voltage transformation and amplification with no transformer and occupies less space unlike the classical two-stage inverter systems. In addition, the system produces a constant DC boosted voltage with less stress on both the source and DC storage capacitor which are not found in conventional converters. The proposed power electronic converter system produced the following results: pure sine voltage and current waveforms, total harmonic distortion (THD) of 4.294%, power output of 5740W, efficiency of 98.9%, power loss of 60W and fast dynamic response. The target areas of applications of the proposed converter are in medium and small scale industries.


Title of the Paper: An Image Detection Method based on Parameter Optimization of Support Vector Machine

 

Authors: Zhanshen Feng

Pages: 306-314 

DOI: 10.46300/9106.2021.15.35     XML

Certificate

Abstract: With the progress and development of multimedia image processing technology, and the rapid growth of image data, how to efficiently extract the interesting and valuable information from the huge image data, and effectively filter out the redundant data, these have become an urgent problem in the field of image processing and computer vision. In recent years, as one of the important branches of computer vision, image detection can assist and improve a series of visual processing tasks. It has been widely used in many fields, such as scene classification, visual tracking, object redirection, semantic segmentation and so on. Intelligent algorithms have strong non-linear mapping capability, data processing capacity and generalization ability. Support vector machine (SVM) by using the structural risk minimization principle constructs the optimal classification hyper-plane in the attribute space to make the classifier get the global optimum and has the expected risk meet a certain upper bound at a certain probability in the entire sample space. This paper combines SVM and artificial fish swarm algorithm (AFSA) for parameter optimization, builds AFSA-SVM classification model to achieve the intelligent identification of image features, and provides reliable technological means to accelerate sensing technology. The experiment result proves that AFSA-SVM has better classification accuracy and indicates that the algorithm of this paper can effectively realize the intelligent identification of image features.


Title of the Paper: An Adaptive Weighted Threshold Image Restoration Method based on Wavelet Domain

 

Authors: Lili Chen, Hongjun Guo

Pages: 297-305 

DOI: 10.46300/9106.2021.15.34     XML

Certificate

Abstract: Due to the limitation of imaging equipment, the influence of transmission medium and external environment, image quality degradation will inevitably occur in the process of generation, transmission and reception. These degradation not only worsens the visual effect of the image, but also makes the image lose a lot of useful information, which seriously affects image recognition, target detection and other high-level visual analysis. Wavelet analysis can extract useful information from image signal and meanwhile its profound wavelet basis can get adapted to signals of different properties. To better apply wavelet transform into image restoration domain, this paper according to the characteristics of wavelet transform, analyzes the method to select threshold function and the relationship within and between layers of wavelet coefficients, gets a proper threshold weight coefficient and propose an adaptive weighted threshold image restoration method based on wavelet domain, which makes smaller deviation and variance between the de-noised image and the original signal. The experiment result shows that the algorithm of this paper can obtain good subjective and objective image quality and effectively retain most detailed information of the image.


Title of the Paper: An Image Similarity Invariant Feature Extraction Method based on Radon Transform

 

Authors: Hongjun Guo, Lili Chen

Pages: 288-296 

DOI: 10.46300/9106.2021.15.33     XML

Certificate

Abstract: With the advancements of computer technology, image recognition technology has been more and more widely applied and feature extraction is a core problem of image recognition. In study, image recognition classifies the processed image and identifies the category it belongs to. By selecting the feature to be extracted, it measures the necessary parameters and classifies according to the result. For better recognition, it needs to conduct structural analysis and image description of the entire image and enhance image understanding through multi-object structural relationship. The essence of Radon transform is to reconstruct the original N-dimensional image in N-dimensional space according to the N-1 dimensional projection data of N-dimensional image in different directions. The Radon transform of image is to extract the feature in the transform domain and map the image space to the parameter space. This paper study the inverse problem of Radon transform of the upper semicircular curve with compact support and continuous in the support. When the center and radius of a circular curve change in a certain range, the inversion problem is unique when the Radon transform along the upper semicircle curve is known. In order to further improve the robustness and discrimination of the features extracted, given the image translation or proportional scaling and the removal of impact caused by translation and proportion, this paper has proposed an image similarity invariant feature extraction method based on Radon transform, constructed Radon moment invariant and shown the description capacity of shape feature extraction method on shape feature by getting intra-class ratio. The experiment result has shown that the method of this paper has overcome the flaws of cracks, overlapping, fuzziness and fake edges which exist when extracting features alone, it can accurately extract the corners of the digital image and has good robustness to noise. It has effectively improved the accuracy and continuity of complex image feature extraction.


Title of the Paper: An Image Multi-scale Feature Recognition Method based on Image Saliency

 

Authors: Chengzhi Yang

Pages: 280-287 

DOI: 10.46300/9106.2021.15.32     XML

Certificate

Abstract: Image recognition refers to the technology which processes, analyzes and understands images with computer so as to recognize various targets and objects of different patterns. To effectively combine image recognition and intelligent algorithm can enhance the efficiency of image feature analysis, improve the detection accuracy and guarantee real-time detection. In image feature recognition, the following problems exist: the description of accurate object features, object blockage, complex and changeable scenes. Whether these problems can be effectively solved has great significance in improving the stability and robustness of object recognition algorithm. This paper takes image salience as the fundamental framework, and makes in-depth study of the problems of effective object appearance description, multi-feature fusion and multi-feature adaptive combination. Then it proposes an image multi-scale feature recognition method based on image salience and it can better locate the saliency object in the image, and more evenly highlight the salient object and significantly suppress background noises. The experiment results prove that salient region detection algorithm can better stress the entire salient image.


Title of the Paper: An Adaptive Weighted Image Denoising Method based on Morphology

 

Authors: Jinjuan Wang, Shan Duan, Qun Zhou

Pages: 271-279 

DOI: 10.46300/9106.2021.15.31     XML

Certificate

Abstract: In its generation, transmission and record, image signal is often interfered by various noises, which have severally affected the visual effects of images; therefore, it is a very important pre-processing step to take proper approaches to reduce noises. Conventional denoising methods have also blurred image edge information while removing noises, which can be overcome by the method based on mathematical morphology. While eliminating different noises from images, it can not only keep clear object edges, but also preserve as many image details as possible and it also has excellent capacities in noise resistance and edge preservation. With image denoising and mathematical morphology as the research subject, this paper analyzes the generation and characteristics of common image noises, studies the basic theories of mathematical morphology and its applications in image processing, discusses the method to select structural elements in mathematical morphology and proposes a filtering algorithm which combines image denoising and mathematical morphology. This method conducts morphological filtering and denoising on noised image with filter cascade and its performance is verified with stimulation testing. The experiment results prove that the approach to build the morphological filter into cascaded filter through series and parallel connection can to a certain extent, affect the effect of common filter while being applied to different image processing.


Title of the Paper: Content based Image Retrieval using Multi-level 3D Color Texture and Low Level Color Features with Neural Network based Classification System

 

Authors: Priyesh Tiwari, Shivendra Nath Sharan, Kulwant Singh, Suraj Kamya

Pages: 265-270 

DOI: 10.46300/9106.2021.15.30     XML

Certificate

Abstract: Content based image retrieval (CBIR), is an application of real-world computer vision domain where from a query image, similar images are searched from the database. The research presented in this paper aims to find out best features and classification model for optimum results for CBIR system.Five different set of feature combinations in two different color domains (i.e., RGB & HSV) are compared and evaluated using Neural Network Classifier, where best results obtained are 88.2% in terms of classifier accuracy. Color moments feature used comprises of: Mean, Standard Deviation,Kurtosis and Skewness. Histogram features is calculated via 10 probability bins. Wang-1k dataset is used to evaluate the CBIR system performance for image retrieval.Research concludes that integrated multi-level 3D color-texture feature yields most accurate results and also performs better in comparison to individually computed color and texture features.


Title of the Paper: Power Consumption Improvements in AES Decryption based on Null Convention Logic

 

Authors: Toi Le Thanh, Lac Truong Tri, Hoang Trang

Pages: 254-264 

DOI: 10.46300/9106.2021.15.29     XML

Certificate

Abstract: In this paper, we propose a new asynchronous method based on a Null Convention Logic (NCL) to improve power consumption for low power integrated circuits. The reason is because the NCL based designs do not use a clock, it eliminates the problems related to the clock and its power consumption reduces significantly. To show the advantages of the selected method, we propose two design models using the synchronous circuit design method, and the NCL based asynchronous circuit design method. To test these two design models conveniently, we also propose an extra automatic test model. In this study, the AES decryption is used as an example to illustrate both methods. The two above proposed AES decryption models are simulated and synthesized at the various corners by VCS and Design Compiler tool using TSMC standard cell libraries in 65nm technology. The synthesis results of the two above mentioned models indicated that the power consumption of the NCL based asynchronous circuit model is 3 times lower than that of the synchronous circuit model, and significantly improves (from 94% to 98%) compared with the results of the other authors. The processing speed of the NCL based asynchronous circuit paradigm is able to achieve a maximum speed.


Title of the Paper: A Blind Parameter Estimation Method of Frequency Hopping Signal with Low SNR

 

Authors: Zengke Wang, Yi Li, Wei Xu

Pages: 248-253 

DOI: 10.46300/9106.2021.15.28     XML

Certificate

Abstract: In order to effectively estimate the parameters of the frequency hopping signals under low signal-to-noise ratio (SNR), a blind parameter estimation method based on the modified discrete time Wigner-Ville distribution (MDTWVD) is proposed. We choose a low order Chebyshev polynomial as the kernel function for reducing the cross-term. Then, the parameters of the frequency hopping signals are finally obtained from the MDTWVD. The simulation experiment results show that the method used in this paper can effectively and accurately estimate frequency hopping signals parameters, especially under low SNR condition compared with other estimating methods.


Title of the Paper: A Novel Algorithm of Identification Theory of Complex Network for Public Transportation Network Cascading Failure

 

Authors: Xu Xu

Pages: 236-247 

DOI: 10.46300/9106.2021.15.27     XML

Certificate

Abstract: With the development of complex network theory and the gradual application of the traffic field, the problem of cascading failure has caused great attention of researchers. This paper tries to propose a new method based on complex network theory to measure the importance of nodes in the network. Based on complex network theory, this paper first discusses the network evolution mechanism of three main contents, define the importance of nodes in the network, and the design of the network center and the evaluation of the importance of node algorithm. In the end, a critical section identification method considering the failure probability and the failure consequence is designed, and the method for calculating the node importance based on the cascading failure is proposed. Using complex network theory, a quantitative assessment of the center of public transportation network and node importance model is designed. The bus network center, for the study of node importance analysis of bus network survivability has important significance. Help guide the optimization of public transport network service. Improve transport capacity of public transportation system.


Title of the Paper: A Novel Algorithm for Path Planning of the Mobile Robot in Obstacle Environment

 

Authors: Chun-li Yang

Pages: 225-235 

DOI: 10.46300/9106.2021.15.26     XML

Certificate

Abstract: In this paper, a design method of smoothing the path generated by a novel algorithm is proposed, which makes the mobile robot can more rapidly and smoothly follow the path and reach the target point. No matter the attitude vector angle is an acute angle or obtuse angle, there is no doubt that we can find the right curve, including polar polynomial curves and piecewise polynomial functions, which makes the path length and the circular arc tend to be similar and guarantees the shorter path length. In the condition of meeting the dynamic characteristics of the mobile robot, the tracking speed and quality are improved. Therefore, the symmetric polynomial curve and the piecewise polynomial function curve are used to generate a smooth path. This novel algorithm improves the path tracking accuracy and the flexibility of the mobile robot. At the same time, it expands the application range of mobile robot in structured environment.


Title of the Paper: A Filtering Algorithm of Main Word Frequency for Online Commodity Subject Classification in E-Commerce

 

Authors: Zhenfeng Wei, Xiaohua Zhang

Pages: 218-224 

DOI: 10.46300/9106.2021.15.25     XML

Certificate

Abstract: Based on the traditional classification of plain text in E-Commerce, this article has put forward a processing method in accordance with semi-structured data and main information in web pages, which enhances the accuracy of the product distribution. On the basis of the traditional text-mining, combined with the structure and links of web page, this article has proposed an improved web page text representation model in E-Commerce based on supporting vector machines and web text classification algorithm, but there are still a lot of shortcomings waiting for further improvement. According to the data contrast in precision ratio, recall ratio and F-measure, the effect of the improved experiment with LDF-IDF is comprehensively better than that of tf-idf. The precision rate in certain classification can reach 100%, but there is low precision rate caused by items with fewer samples or samples fuzziness. Therefore, the classification of the correct category will directly affect the effect of classification.


Title of the Paper: An Optimized Method of Wind Speed Prediction with Support Vector Machine and Genetic Algorithm

 

Authors: Guan-fa Li, Wen-sheng Zhu

Pages: 212-217 

DOI: 10.46300/9106.2021.15.24     XML

Certificate

Abstract: Due to the randomness of wind speed and direction, the output power of wind turbine also has randomness. After large-scale wind power integration, it will bring a lot of adverse effects on the power quality of the power system, and also bring difficulties to the formulation of power system dispatching plan. In order to improve the prediction accuracy, an optimized method of wind speed prediction with support vector machine and genetic algorithm is put forward. Compared with other optimization methods, the simulation results show that the optimized genetic algorithm not only has good convergence speed, but also can find more suitable parameters for data samples. When the data is updated according to time series, the optimization range of vaccine and parameters is adaptively adjusted and updated. Therefore, as a new optimization method, the optimization method has certain theoretical significance and practical application value, and can be applied to other time series prediction models.


Title of the Paper: A Novel Algorithm for Dynamic Control System of Hysteretic Power of Shock Absorber

 

Authors: Yiqiang Li

Pages: 203-211 

DOI: 10.46300/9106.2021.15.23     XML

Certificate

Abstract: Mechanical resonance and high-frequency vibration caused by the external environment will not only affect the performance of vehicles, ships and machinery, but also cause serious harm to human health. In order to pursue higher ride comfort and reduce the adverse effects on the operator when operating the equipment, the shock absorbers are widely used in aircraft, vehicles and other vehicles or precision machinery. The automatic control of the hysteresis power system of the shock absorber is one of the key tasks in the design and application of the shock absorber. With the development and maturity of mechanical automation technology, PLC control technology has been applied in shock absorbers, but PLC control technology is difficult to achieve the requirements of hysteretic control of shock absorbers in the system precision control. Therefore, a novel algorithm for dynamic control system of hysteretic power of shock absorber is presented. The simulation results show that the control system can effectively improve the control accuracy, and the hysteresis output power of the system is closer to the ideal value.


Title of the Paper: Controlling of DC-DC Buck Converters using Microcontrollers

 

Authors: Mohammed O. Alsumady, Yazan K. Alturk, Ahmad Dagamseh, Ma'moun Tantawi

Pages: 197-202 

DOI: 10.46300/9106.2021.15.22     XML

Certificate

Abstract: This paper presents a technique to digitally control the output voltage of a DC-DC converter via a microcontroller. The voltage regulation and controlling were achieved utilizing an LM2596 buck converter. A digital potentiometer MCP41050 is utilized to smoothly control the regulated output DC voltage via the SPI digital protocol. The proposed design is manufactured and tested for various loads. This device is considered as a step-down voltage regulator capable of driving 3A load with high efficiency, excellent linearity, source-voltage variation, and load regulation. The results show that the system can control the output voltage with satisfactory performance and high accuracy. With various loads, the proposed system shows a mean square error of 0.015±0.037 volts tested with a regulated voltage of 5 volts. The efficiency improves from about 80% to around 91% at a 1 kΩ load. This design eliminates the possible errors that arise when manually varying the voltage of the buck converter; by means of using a microcontroller. Such a system ensures a proper digitally controlled output voltage with a better performance, which can be applied in various applications.


Title of the Paper: System Theory for an Information System for Planning Project Activities in a High-tech Enterprise

 

Authors: Marina Batova, Irina Baranova, Oleg Korobchenko, Vyacheslav Baranov

Pages: 187-196 

DOI: 10.46300/9106.2021.15.21     XML

Certificate

 

Abstract: Financial Systems and Financial Engineering plays an important role in modern Systems Theory. In Systems Theory, the planning and informatization issues concerning project management processes in high-tech enterprises have been considered. The network model role in organizing the intellectual resource management of an innovative project was investigated. A set of heuristic preference rules for organizing project management under conditions of limited intellectual resources available for the project was developed. An algorithm for constructing an implementation schedule for an innovation project as well as for estimating the dynamics of resource consumption and loss depending on the presence or absence of constraints on the project intellectual resource value was proposed. A description is given for a software product created by the authors, providing support for decisions made by the high-tech enterprise management at the stage of project operational and calendar planning of its intellectual resources.


Title of the Paper: Intelligent Augmented Reality System based on Speech Recognition  

 

Authors: Juin-Ling Tseng

Pages: 178-186 

DOI: 10.46300/9106.2021.15.20     XML

Certificate

Abstract: In general, most of the current augmented reality systems can combine 3D virtual scenes with live reality, and users usually interact with 3D objects of the augmented reality (AR) system through image recognition. Although the image-recognition technology has matured enough to allow users to interact with the system, the interaction process is usually limited by the number of patterns used to identify the image. It is not convenient to handle. To provide a more flexible interactive manipulation mode, this study imports the speech-recognition mechanism that allows users to operate 3D objects in an AR system simply by speech. In terms of implementation, the program uses Unity3D as the main development environment and the AR e-Desk as the main development platform. The AR e-Desk interacts through the identification mechanism of the reacTIVision and its markers. We use Unity3D to build the required 3D virtual scenes and objects in the AR e-Desk and import the Google Cloud Speech suite to the AR e-Desk system to develop the speech-interaction mechanism. Then, the intelligent AR system is developed.


Title of the Paper: Removing Artifacts from EEG Signal using Wavelet Transform and Conventional Filters

 

Authors: Meryem Felja, Asmae Bencheqroune, Mohammed Karim, Ghita Bennis

Pages: 172-177 

DOI: 10.46300/9106.2021.15.19     XML

Certificate

Abstract: Electroencephalogram (EEG) is a signal of an electrical nature reflecting the neuronal activities of the brain. It is used for the diagnosis of certain cerebral pathologies. However, it becomes more difficult to identify and analyze it when it is corrupted by artifacts of non-cerebral origin such as eye movements, cardiac activities ..., therefore, it is essential to remove these parasitic signals. In literature, there are different techniques for removing artifacts. This paper proposes and discusses a new EEG de-noising technique, based on a combination of wavelet transforms and conventional filters. The results of the proposed method are evaluated using three common criteria: signal-to-noise-ratio (SNR), mean square error (MSE) and cross correletion function (CCF). These experimental results demonstrate that the proposed approach can be an effective tool for removing artifact without suppression of any signal components.


Title of the Paper: Underwater Acoustic Localization based on IR-GCC-PHAT in Reverberant Environments

 

Authors: Shingo Yoshizawa

Pages: 164-171

DOI: 10.46300/9106.2021.15.18     XML

Certificate

Abstract: This paper presents a method of underwater acoustic localization in reverberant environments. Time difference of arrival (TDOA) measurement algorithm is a key technology for estimating direction of arrival (DOA) of an underwater sound source. In strong multipath interference, the pseudo-peaks in a correlation function disturb the detection of a correct time position and lead to a large TDOA measurement error. The proposed algorithm computes a time difference by taking cross-correlation of two impulse responses and improves robustness to multipath interference. The comparison of TDOA algorithms is done by evaluating the position accuracy of underwater sound source in both simulation and experiment.


Title of the Paper: General Model and SOC Estimation of Battery

 

Authors: Li Meng, Haipeng Guo, Xiaowei Zhao

Pages: 155-163 

DOI: 10.46300/9106.2021.15.17     XML

Certificate

Abstract: Monitoring the battery state is of great importance for the safety and normal of the systems which are powered by batteries. SOC (State of Charge) is one of the most important state parameters of battery. SOC cannot be measured directly. The Kalman filter algorithm is one of the techniques often applied to estimate SOC value. An accurate model is necessary for this algorithm. In this paper, a general SOC model is set up. It takes into account not only the difference between discharging and charging work conditions, but also the influence of the working atmosphere, such as temperature and discharging rate. Then based on this general model, unscented Kalman filter method is used to predict the SOC value. It can avoid the error which is caused by ignoring high-order terms, which is a shortcoming exist in the extended Kalman filter method. The simulation experiments prove the approach can get satisfactory results even when the measurement data is mixed with noise or the initial SOC value is not accurate.


Title of the Paper: Music Signal Separation using Supervised Robust Non-Negative Matrix Factorization with β-divergence

 

Authors: Feng Li, Hao Chang

Pages: 149-154 

DOI: 10.46300/9106.2021.15.16     XML

Certificate

Abstract: We propose a supervised method based on robust non-negative matrix factorization (RNMF) for music signal separation with β-divergence called supervised robust non-negative matrix factorization (SRNMF). Although RNMF method is an effective method for separating music signals, its separation performance degrades due to has no prior knowledge. To address this problem, in this paper, we develop SRNMF that unifying the robustness of RNMF and the prior knowledge to improve such separation performance on instrumental sound signals (e.g., piano, oboe and trombone). Application to the observed instrumental sound signals is an effective strategy by extracting the spectral bases of training sequences by using RNMF. In addition, β-divergence based on SRNMF be extended. The results obtained from our experiments on instrumental sound signals are promising for music signal separation. The proposed method achieves better separation performance than the conventional methods.


Title of the Paper: Cooperative Multi-Agent Vehicle-to-Vehicle Wireless Network in a Noisy Environment

 

Authors: Ayman M. Mansour

Pages: 135-148 

DOI: 10.46300/9106.2021.15.15     XML

Certificate

Abstract: With the rapid development of vehicle communication and the goal of self-driving vehicle, research in this area is still ongoing, as car companies aspire for more studies and effective communication methods between vehicles. In this research, we have developed an intelligent, innovative and fully integrated multi agent model, which is used for vehicle-to-vehicle communications. The developed model is supported by an intelligent system based on a Nonlinear External Neural Network (NARX) and signal estimation theory. The system is built using real vehicles sensors, Arduino, GSM and RF technologies. The system is tested by applying different scenarios and observing vehicle behaviors. The results show that the smart system is able to make the appropriate decision based on both the vehicle's current condition and sensor readings. The developed system is able to operate effectively in a noisy environment in an excellent manner.


Title of the Paper: A Design Approach to Wireless High-Power Transfer to Multiple Receivers with Asymmetric Circuit

 

Authors: Sabriansyah Rizqika Akbar, Ichijo Hodaka

Pages: 125-134 

DOI: 10.46300/9106.2021.15.14     XML

Certificate

Abstract: Wireless Power Transfer (WPT) system commonly compensates by a symmetric pair of inductor and capacitor on the primary-secondary circuits to use the idea of resonance. It should be noticed that an additional component compensation on the common WPT circuit is able to affect the power transferred to the load. Although it is useful to wirelessly transfer power to multiple receivers, the complexity of the system will increase with the number of receivers as well as the system loses symmetry, and then, it would be difficult to design high power transfer system. This study explores the WPT circuit compensated with a single capacitor in the primary side to transfer high power to dual receivers. Using a single capacitor on the primary side makes the circuit asymmetry, so the idea of resonance cannot be used. To find operating points that maximize transferred power, this paper uses a mathematical optimization technique with several design variables. The NSGA-II (Non-dominated Sorting Genetic Algorithm II) is used to optimize the design variables of the mathematical system model. The results show that the proposed system is able to attain high power even though using only a single capacitor compensation without the idea of resonance.


Title of the Paper: Approximate Model-based State Estimation in Simplified Receding Horizon Control

 

Authors: Hemza Redjimi, József K. Tar

Pages: 114-124 

DOI: 10.46300/9106.2021.15.13     XML

Certificate

Abstract: Multiple variable systems often have to be so controlled that in the lack of appropriate sensors no satisfactory information is available for the complete estimation of their state variables. Normally only their certain components are kept under observation and control, while the other ones evolve according to the consequences of the exerted control signal. In control-based treatment of patients suffering from "Type 1 Diabetes Mellitus (T1DM)", the only directly measured quantity is the subcutaneous glucose concentration in the blood controlled by a single control signal, the insulin ingress rate. The applied model may use several components in the state variable. The traditional "Receding Horizon Controller (RHC)" requires the estimation of the complete state variable for the calculation of the control signal. In this paper preliminary simulations are persented in which the operation of the RHC is studied in the control of two vertically connected, oscillating masspoints so coupled by springs that only the state of the upper one is observed and directly controlled. Instead sensor-based observations, the lower point’s coordinate is calculated by the use of an available "rough" model. Preliminary calculations were made for a particular human glucose-insulin model, too. In the implementation of the RHC special simplifications were introduced. In our further work we wish to apply this method for investigating various T1DM treatment models.


Title of the Paper: Deblurring Method for Motion Blurred Images based on GAN

 

Authors: Ning Li, Songnan Chen, Mengxia Tang, Jiangming Kan

Pages: 106-113 

DOI: 10.46300/9106.2021.15.12     XML

Certificate

Abstract: The purpose of image motion deblur is to recover the underlying clear image from the corresponding blur image. In most traditional methods, the image recovery task is formulated as a problem of blur core estimation and use a priori to calculate. In this paper we proposes a generative adversarial network(GAN) model based on the mobilenet-V3 network structure to meet the needs of motion blurred image recovery on mobile devices. Based on traditional evaluation indicators, we propose a new evaluation metric on mobile device. Extensive experiments show that our method is superior to the competing methods.


Title of the Paper: A New Remote Fuzzy User Password Authentication Scheme using Sub-tree for Cloud Computing

 

Authors: Chandrashekhar Meshram, Cheng-Chi Lee, Muhammad Khurram Khan, Kailash Kalare, Sarita Gajbhiye Meshram

Pages: 92-105 

DOI: 10.46300/9106.2021.15.11     XML

Certificate

Abstract: Recent advancements in internet technology and the infrastructure have attracted more people and organizations to do everything online. Internet technologies have provided amazing and smooth ease for electronic sales and purchases. However, many people have refused to use these internet technologies in electronic purchases because of unstable and insecure forms. New hacking techniques and new types of attacks have been tackled to make these internet technologies better and safer. Smartcard-based password authentication schemes have been the mainstream in recent years, featuring their highly lightweight, easy-to-use equipment and low-cost apps. Various secure and faster authentication schemes have been proposed in the literature. However, most of the existing authentication schemes have found vulnerable to recent attacks and have security flaws. This paper provides and efficient way for authentication using the partial discrete logarithm and sub-tree structure. The proposed scheme has seen effective and more useful in cloud computing environment. The analysis based on the security and the computational cost shows that the proposed authentication scheme proves to be more secure and efficient compared to other protocols that serve the same purposes.


Title of the Paper: A Prosperity Index Model of Regional Tourism Industry based on Composite Index

 

Authors: Dandan Qi, Jingwen Fang, Jiaxin Liu, Qinglin Zhou, Ping Han

Pages: 80-91 

DOI: 10.46300/9106.2021.15.10     XML

Certificate

Abstract: In recent years, the ice and snow tourism industry has developed rapidly, which plays an important role in boosting regional economy. The prosperity index of the ice and snow tourism industry was compiled, and the early warning model of the ice and snow tourism industry in Heilongjiang Province of China was built, which was taken as a comprehensive scale to observe the fluctuation of the ice and snow tourism industry. Combined with the current economic situation, the composite index, the situation of the industry and the turning point of the industry cycle volatility are analyzed, to determine the situation and trend of the industry volatility. This can provide reference for the policy formulation of the ice and snow tourism industry in Heilongjiang province and the micro-management of tourism companies.


Title of the Paper: On Adaptive Haar Approximations of Random Flows

 

Authors: Yuri K. Demyanovich

Pages: 72-79 

DOI: 10.46300/9106.2021.15.9     XML

Abstract: The adaptive approximations for some characteristic of random functions defined on arbitrary irregular grids are discussed in this paper. The mentioned functions can be examined as flows of random real values associated with an irregular grid. This paper considers the question of choosing an adaptive enlargement of the initial grid. The mentioned enlargement essentially depends on the formulation of the criterion in relation to which adaptability is considered. Several criteria are considered here, among which there are several criteria applicable to the processing of random flows. In particular, the criteria corresponding to the mathematical expectation, dispersion, as well as autocorrelation and cross-correlation of two random flows are considered. It is possible to consider criteria corresponding to various combinations of the mentioned characteristics. The number of knots of the initial (generally speaking, irregular) grid can be arbitrary, and the main grid can be any subset of the initial one. Decomposition algorithms are proposed, taking into account the nature of the changes in the initial flow. The number of arithmetic operations in the proposed algorithms is proportional to the length of the initial flow. Sequential processing of the initial flow is possible in real time.


Title of the Paper: Application of Splines of the Second Order Approximation to Volterra Integral Equations of the Second Kind. Applications in Systems Theory and Dynamical Systems

 

Authors: I. G. Burova, G. O. Alcybeev

Pages: 63-71 

DOI: 10.46300/9106.2021.15.8     XML

Certificate

Abstract: This paper discusses the application of local interpolation splines of the second order of approximation for the numerical solution of Volterra integral equations of the second kind. Computational schemes based on the use of polynomial and non-polynomial splines are constructed. The advantages of the proposed method include the ability to calculate the integrals which are present in the computational methods. The application of splines to the solution of nonlinear Volterra integral equations is also discussed. The results of numerical experiments are presented


Title of the Paper: 22nm FINFET Based High Gain Wide Band Differential Amplifier

 

Authors: Vasudeva G., Uma B. V.

Pages: 55-62 

DOI: 10.46300/9106.2021.15.7     XML

Certificate

Abstract: Differential Amplifier is a primary building block of analog and mixed signal circuit for pre-processing and signal conditioning of analog signal. FINFET devices with high-k gate oxide at 22nm technology are predominantly used for high speed and low power complex VLSI circuits. FINFET based differential amplifiers are widely used in ADC’s and signal Processing applications due to their advantages in terms of power dissipation. Analog front end of complex VLSI circuits need to offer high gain, higher stability and low noise figure. Designing of FINFET based VLSI sub-circuits requires proper design procedure that can provide designers flexibility in controlling the circuit performances. In this paper, differential amplifier is designed using model parameters of high-k FINFET in 22nm technology. The conventional procedures for designing MOSFET based differential amplifier are modified for designing FINFET based differential amplifier. Schematic capture is carried out in Cadence environment and simulations are obtained considering 22nm FINFET PDK. The performance metrics are evaluated and optimized considering multiple iterations. The designed differential amplifier has slew rate of 6V/µSec and settling time of 0.9 µSec which is a desired metric for ADCs. Power Supply Rejection Ratio (PSRR) is 83 dB and dynamic range is 1.6754 V. Open loop DC gain of DA is achieved to be 103 dB with phase margin of 630 that demonstrates the advantages of DA designed in this work suitable for analog front end


Title of the Paper: A High-robustness and Low Resource-consumption Crowd Counting Model

 

Authors: Han Jia, Xuecheng Zou

Pages: 46-54 

DOI: 10.46300/9106.2021.15.6     XML

Certificate

Abstract: A major problem of counting high-density crowded scenes is the lack of flexibility and robustness exhibited by existing methods, and almost all recent state-of-the-art methods only show good performance in estimation errors and density map quality for select datasets. The biggest challenge faced by these methods is the analysis of similar features between the crowd and background, as well as overlaps between individuals. Hence, we propose a light and easy-to-train network for congestion cognition based on dilated convolution, which can exponentially enlarge the receptive field, preserve original resolution, and generate a high-quality density map. With the dilated convolutional layers, the counting accuracy can be enhanced as the feature map keeps its original resolution. By removing fully-connected layers, the network architecture becomes more concise, thereby reducing resource consumption significantly. The flexibility and robustness improvements of the proposed network compared to previous methods were validated using the variance of data size and different overlap levels of existing open source datasets. Experimental results showed that the proposed network is suitable for transfer learning on different datasets and enhances crowd counting in highly congested scenes. Therefore, the network is expected to have broader applications, for example in Internet of Things and portable devices.


Title of the Paper: Monaural Singing Voice Separation using Robust Principal Component Analysis with Weighted Values

 

Authors: Feng Li, Hao Chang

Pages: 40-45

DOI: 10.46300/9106.2021.15.5     XML

Certificate

Abstract: This paper proposes an extension of robust principal component analysis (RPCA) with weighted values for monaural singing voice separation.Although the conventional RPCA is an e ective method to separate singing voice and music accompaniment from the mixted audio sig- nal, it fails when one singular value is much larger than all others. For example, drums may lie in the sparse subspace instead of being lowrank, which lead that the separation performance is decreased in many real world applications, espe- cially for drums existing in the mixture music sig- nal. Therefore, in order to solve this problem, we utilize di erent weighted values between sparse (singing voice) and low-rank matrices (music ac- companiment). Evaluation results on ccMixter and DSD100 datasets show that the proposed method achieves better separation performance than the conventional RPCA.


Title of the Paper: An Improved Quantum Particle Swarm Algorithm for Routing Optimization of Wireless Sensor Networks

 

Authors: Xing Jin

Pages: 33-39

DOI: 10.46300/9106.2021.15.4     XML

Certificate

Abstract: Because of the limited energy of wireless sensor nodes, the energy loss of communication process affects network performance. In order to prolong the network lifetime and combine the fast ergodicity of the quantum particle swarm, this paper proposes a wireless network routing optimization method to improve the quantum particle swarm, aiming at the leach problem of the wireless sensor network WSN Classic Clustering protocol. The optimal routing speed is accelerated, and the optimal routing and energy consumption of the network are balanced as far as possible, and adjust the parameters of the cluster head election threshold to obtain the most suitable clustering structure for the current environment adaptively, so as to balance the network energy consumption and improve the network life. The experimental results show that compared with the LEACH-EP protocol, GA and PSO, the proposed protocol has better performance in network lifetime and network latency


Title of the Paper: Systems Theory: Simulation Analysis of Space Charge Generation Mechanisms in Transformer Oil under High Electric Field

 

Authors: Hui Zhu, N. E. Mastorakis, Qingquan Lei

Pages: 23-32

DOI: 10.46300/9106.2021.15.3     XML

Certificate

Abstract: Simulation analysis plays an important role in Systems Theory nowadays. In order to reveal the mechanism of space charge injection and generation in the process of liquid dielectric breakdown, the discharge of transformer oil between needle-plane electrodes under high electric field is studied. Based on the 2-D hydrodynamic model and Poisson equation of electric field, the system simulation model of oil discharge by different charge generation mechanism is established, based on which the inception and propagation process of discharge is simulated by COMSOL. By system simulation, the temporal and spatial distribution of the electric field intensity, space charge density, electric potential and temperature of transformer oil is obtained and deeply analyzed. The simulation results prove that the space charge generated by metal field emission and ionic disassociation are neither of the major factor for streamer formation in transformer oil, while the Zener molecular ionization and impact ionization are the major factors. Our research improves the understanding of the inception, propagation and breakdown process for discharge in transformer oil, and also the ionization mechanism in the liquid dielectric.


Title of the Paper: Fuzzy Functional and Multivalued Dependencies for Frank’s Class of Additive Generators

 

Authors: Sanela Nesimovic, Dzenan Gusic

Pages: 8-22 

DOI: 10.46300/9106.2021.15.2     XML

Certificate

Abstract: In this paper we consider all possible dependencies that can be built upon similarity-based fuzzy relations, that is, fuzzy functional and fuzzy multivalued dependencies. Motivated by the fact that the classical obtaining of new dependencies via inference rules may be tedious and uncertain, we replace it by the automated one, where the key role is played by the resolution principle techniques and the fuzzy formulas in place of fuzzy dependencies. We prove that some fuzzy multivalued dependency is actively correct with respect to given fuzzy relation instance if and only if the corresponding fuzzy formula is in line with the attached interpretation. Additionally, we require the tuples of the instance to be conformant (up to some extent) on the leading set of attributes. The equivalence as well as the conclusion are generalized to sets of attributes. The research is conducted by representing the attributes and fuzzy dependencies in the form of fuzzy formulas, and the application of fuzzy implication operators derived from carefully selected Frank’s classes of additive generators.


Title of the Paper: Contributions to Driver Fatigue Detection based on Eye-tracking

 

Authors: Ana-Maria Băiașu, Cătălin Dumitrescu

Pages: 1-7 

DOI: 10.46300/9106.2021.15.1     XML

Certificate

Abstract: In recent years, one of the most important factors in road accidents is the drowsiness of drivers and the distraction while driving. In this paper, we describe a system that monitors the detection of fatigue or drowsiness.The proposed solutions follow the driver's gaze, and if the system identifies the closed eyes, it triggers an alarm signal intended to alert against losing control of the car and causing traffic accidents.Eye-tracking is the process that measuring the eye position and eye movement.The proposed method is structured in three phases.In the first phase, eye images are captured at constant time intervals and converted into grayscale images. In the second phase these images are fed to Haar algorithm to identify the driver eyes.In the third phase, based on the previous phase the system can now take action to continue monitoring or trigger alarm to alert the driver if the drowsiness has been detected.