International Journal of Circuits, Systems and Signal Processing最新文献_第5页

Energy Efficient Low Latency Routing Design for Target Tracking Applications of Wireless Sensor Network 面向无线传感器网络目标跟踪应用的高能效低延迟路由设计

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-06-01 DOI: 10.46300/9106.2022.16.124

Deepika Lokesh, N. V. U. Reddy

{"title":"Energy Efficient Low Latency Routing Design for Target Tracking Applications of Wireless Sensor Network","authors":"Deepika Lokesh, N. V. U. Reddy","doi":"10.46300/9106.2022.16.124","DOIUrl":"https://doi.org/10.46300/9106.2022.16.124","url":null,"abstract":"Target tracking is the greatest important applications in Wireless Sensor Networks (WSNs). The wireless sensor network applications have been increasing since the IoT has been established. Most of the applications have various kind of sensors to transmit the information from one source to another. The basic operation of a wireless sensor network is to sense the data, collect the data and transmit the data from time to time whenever the base station requires the data for evaluation. Improving the reliability, performance for the collection of the data is the main role of the wireless sensor device. Moreover, the objective of the wireless sensor network device is to minimize the latency and improve the energy efficiency in order to provide more reliability is a major performance metric for provisioning WSNs. In this paper, we have presented an Energy Efficient Low Latency Routing (EELLR) design for Target Tracking (TT) Applications of Wireless Sensor Network. This model provides reliability and has a better performance in terms of communication overhead, energy efficiency and packet processing latency reduction when compared with the existing routing-based models.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80902484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Millimeter-Wave Antenna Circuitry for Inter-Satellite Communications at 60 GHz 60 GHz卫星间通信毫米波天线电路

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-06-01 DOI: 10.18178/ijsps.10.2.7-13

P. Shrivastava, B. Abe

引用次数: 1

A Practical Method for Estimating Mutual Inductance in Wireless Power Transmission System 一种实用的无线电力传输系统互感估计方法

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-06-01 DOI: 10.46300/9106.2022.16.125

Takuto ,, Nakamura, T. Hirata, Eko Setiawan, I. Hodaka

引用次数: 0

Multiple Stuck At Fault Diagnosis System For Digital Circuit On FPGA Using Vedic Multiplier and ANN 基于Vedic乘法器和人工神经网络的FPGA数字电路多卡故障诊断系统

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-05-30 DOI: 10.46300/9106.2022.16.120

Mangesh Islampurkar, Kishanprasad G. Gunale, Sunil Somani, Nikhil Bagade

{"title":"Multiple Stuck At Fault Diagnosis System For Digital Circuit On FPGA Using Vedic Multiplier and ANN","authors":"Mangesh Islampurkar, Kishanprasad G. Gunale, Sunil Somani, Nikhil Bagade","doi":"10.46300/9106.2022.16.120","DOIUrl":"https://doi.org/10.46300/9106.2022.16.120","url":null,"abstract":"In an electronics circuit, the presence of a Fault leads to undesired or unexpected results. The output of many nodes on the circuit is changed due to the presence of the Fault at one node. So, it is necessary to detect the nature of the Fault present in a particular faulty node. To detect the fault present in the digital circuit, it is necessary to understand logical behavior using mathematical modeling. After the successful modeling, parameters are extracted, and the database is generated. The mathematical model uses Hebbian Artificial Neural Network algorithms [1] [2]. The database generated is used by the fault detection system to find the masked and multiple faults. A fault detection system monitors the faults present in the test circuit and finds the origin and nature of the Fault [3] [4]. The database generated for single stuck-at faults is used to find the multiple faults present in the faulty circuit. In this paper, Modified Vedic Multiplication [5] [4] method is used to optimize the utilization of the proposed system. In this proposed design multiplier of {N x N} bit input and {N} bit output is used, due to which device utilization is decreased, which is the expected outcome from the design. This system is designed using ISE Design Suite and implemented on Spartan-6 FPGA [6] [7].","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84028742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Connectivity Analysis of WSN Nodes using Neighborhood Search Technique (WSNNST) 基于邻域搜索技术的WSN节点连通性分析

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-05-30 DOI: 10.46300/9106.2022.16.121

M. Iskandarani

{"title":"Connectivity Analysis of WSN Nodes using Neighborhood Search Technique (WSNNST)","authors":"M. Iskandarani","doi":"10.46300/9106.2022.16.121","DOIUrl":"https://doi.org/10.46300/9106.2022.16.121","url":null,"abstract":"A new approach to wireless sensor network (WSN) communication through multi-hop routing is investigated in this work. The proposed approach utilizes search radius expansion in order to find highest energy nodes within a WSN network and preserves the energy of the lowest energy nodes. This approach which is built on trust in terms of providing good quality communication channels between a source node and a destination node considers energy as one parameter of trust that will enable strong, reliable communication channels and shorter routes to be used in a WSN. This approach enables efficient energy consumption during data communication, but with higher level energy consumption due to expanded search radius, which can be minimized using search time limit. The work also relates through mathematical equations, number of discovered routes, maximum hops, and search time to the considered search radius. The overall objective of this work is to enable faster and efficient channel communication between WSN nodes, through gradual cost effective search in neighborhoods. This is achieved by uncovering shorter and less number of routes within an acceptable time limits. The proposed and simulated approach presented in this work differ in terms of the gradual expansion of search and the equal increments in search radius compared to other used techniques. The presented work also adds a unique feature of allowing re-charging of low energy nodes using the already established routes connecting high energy nodes through the registration of weak nodes locations. A final general expression relates search radius to other WSN variables is also presented.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85170198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transmission of Depth Data by Pulse Position Modulation for Underwater Acoustic Positioning Systems 水声定位系统中脉冲位置调制的深度数据传输

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-05-30 DOI: 10.46300/9106.2022.16.122

Atsushi Wada, S. Yoshizawa

引用次数: 1

A Robust Illumination and Intensity invariant Face Recognition System 一种鲁棒光照强度不变人脸识别系统

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-04-14 DOI: 10.46300/9106.2022.16.119

M. Meena, Shreya Pare, Priti Singh, A. Rana, M. Prasad

引用次数: 0

A New Predictive Machine-learning Approach for Detecting Creditworthiness of Borrowers 一种用于检测借款人信誉的预测机器学习新方法

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-04-06 DOI: 10.46300/9106.2022.16.118

Zaynab Hjouji, M. M’hamdi

{"title":"A New Predictive Machine-learning Approach for Detecting Creditworthiness of Borrowers","authors":"Zaynab Hjouji, M. M’hamdi","doi":"10.46300/9106.2022.16.118","DOIUrl":"https://doi.org/10.46300/9106.2022.16.118","url":null,"abstract":"We present in this paper a new approach for predicting creditworthiness of borrowers that we call “Method of splitting the learning set into two region”. The aim of this approach consists on the construction of two regions from a learning set, the first called \"Solvency Region\" that contains the feature vectors of the elements that have paid their financial obligations on time and the second one called \"Non-Solvency Region\", which contains the feature vectors of the elements that have defaulted in paying their debts. Therefore, to predict creditworthiness borrowers, it is sufficient to identify which of the two regions includes his feature vectors; if it doesn’t correspond to any region, the credit decision-making requires further analysis. To develop and test our predictive proposed approach, a large set of real and recent credit data obtained from the UCI repository is used, we trained also on a real credit database from a Moroccan bank and the creditworthiness of borrowers are analyzed using two performance measurement indicators such as Classification accuracy and the AUC of the ROC curve as a robustness measurement criteria. The proposed model was compared to three traditional machine-learning algorithms: LR, RBF-NN and the MLP-NN. The experimental results show the improved performance of our proposed predictive method for predicting creditworthiness of borrowers.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73661763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Post-processing Improvement of Lock-in Thermography Study of MCM-L for Better Hidden Defect Localization MCM-L锁相热像成像后处理改进及对隐藏缺陷更好定位的研究

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-03-30 DOI: 10.46300/9106.2022.16.115

A. Stoynova, B. Bonev

引用次数: 2

Application of Speech Recognition Technology in Chinese English Simultaneous Interpretation of Law 语音识别技术在中英文法律同声传译中的应用

International Journal of Circuits, Systems and Signal Processing Pub Date : 2022-03-30 DOI: 10.46300/9106.2022.16.117

Xiao Yang

{"title":"Application of Speech Recognition Technology in Chinese English Simultaneous Interpretation of Law","authors":"Xiao Yang","doi":"10.46300/9106.2022.16.117","DOIUrl":"https://doi.org/10.46300/9106.2022.16.117","url":null,"abstract":"Speech recognition is an important research field in natural language processing. In Chinese and English, which have rich data resources, the performance of end-to-end speech recognition model is close to that of Hidden Markov Model—Deep Neural Network (HMM-DNN) model. However, for the low resource speech recognition task of Chinese English hybrid, the end-to-end speech recognition system does not achieve good performance. In the case of limited mixed data between Chinese and English, the modeling method of end-to-end speech recognition is studied. This paper focuses on two end-to-end speech recognition models: connection timing distribution and attention based codec network. In order to improve the performance of Chinese English hybrid speech recognition, this paper studies how to improve the performance of the coder based on connection timing distribution model and attention mechanism, and tries to combine the two models to improve the performance of Chinese English hybrid speech recognition. In low resource Chinese English mixed data, the advantages of different models are used to improve the performance of end-to-end models, so as to improve the recognition accuracy of speech recognition technology in legal Chinese English simultaneous interpretation.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81859803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1