International Journal of Electrical Engineering and Computer Science最新文献

{"title":"Power System Stabilizers Layout via Flower Pollination Algorithm","authors":"E. Ali","doi":"10.37394/232027.2022.4.12","DOIUrl":"https://doi.org/10.37394/232027.2022.4.12","url":null,"abstract":"In this article, the optimum layout of Power System Stabilizers (PSSs) using Flower Pollination Algorithm (FPA) is developed in a multimachine environment. The PSSs values tuning problem is turned into an optimization task which is treated by FPA. FPA is used to check for optimum controller parameters by reducing an eigenvalues based objective function involving the damping factor, and the damping ratio of the lightly damped modes. The implementation of the developed FPA based PSSs (FPAPSS) is compared with Particle Swarm Optimization (PSO) based PSSs (PSOPSS) and the Conventional PSSs (CPSS) for various loading conditions and disturbances. The results of the developed FPAPSS are confirmed via time domain analysis, eigenvalues and some indices. Also, the results are introduced to prove the effectiveness of the developed algorithm over the PSO and conventional one.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132279230","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}

{"title":"Double Gates and Short-Channel Carbon Nanotube Transistors","authors":"Reza Akbarpourani, Hassan Ghalami Bavil Olyaee, Seyed Alireza Mousavi Shirazi","doi":"10.37394/232027.2022.4.14","DOIUrl":"https://doi.org/10.37394/232027.2022.4.14","url":null,"abstract":"In this paper, through solving Poisson equations, a precise model for double-gates and dual-material carbon nanotube transistors is presented that is more comprehensive than the previous models. Thus, considering a double-gate transistor with a two-material gate, modeling and solving the Poisson equation are taken into consideration in two dimensions for a more accurate analysis of the inner potential of the channel. In this method, the inside electrostatic potential of the channel is obtained by summing two parts of the long channel potential. Also, the dependence of the inside load of the channel on its inside potential is considered in a way that gives a more accurate answer to the potential of the transistor. The potential is generally considered based on the sum of the one-dimensional potential in the channel (without any dependence on the surface potential) and the lateral potential changes in two dimensions. The charge in the Poisson relation is also considered to evaluate the dependence on the potential within the channel which provides a more complete analysis of the Poisson equation.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130808100","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}

{"title":"Bounds for the Electrical Resistance for Non-homogeneous Two-dimensional Conducting Body","authors":"I. Ecsedi, A. Baksa","doi":"10.37394/232027.2022.4.11","DOIUrl":"https://doi.org/10.37394/232027.2022.4.11","url":null,"abstract":"A mathematical model is developed to determine the steady-state current flow through in non-homogeneous isotropic conductor whose shape is a two-dimensional hollow domain. The corresponding electric boundary value problem is formulated using Maxwell's theory of electricity. The determination of the two-dimensional motion of charges is based on the concept of the electrical conductance. The Cauchy-Schwarz inequality is used to get the lower and upper bounds for the electrical conductance. The derived upper and lower bound formulae are illustrated by numerical examples.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116213408","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}

{"title":"Improvement of the Secure Integration of IoT and Cloud Computing using Hybrid Encryption","authors":"P. D. N. Chahin, Eng. Abeer Mansour","doi":"10.37394/232027.2022.4.10","DOIUrl":"https://doi.org/10.37394/232027.2022.4.10","url":null,"abstract":"Wireless Sensor Network (WSN) is an essential technology in many Internet of Things (IoT) applications, and since sensor nodes suffer from limited resources, it has become possible to overcome storage capacity problems using cloud computing, the integration of Internet of Things (IoT) with cloud computing (CC) seeks to achieve new levels of efficiency in service delivery. Security and privacy are key factors that slow down the rapid and widespread adoption and deployment of both IoT and cloud computing. In the proposed model, an integrated IoT system with cloud computing was developed starting from the analysis, and design, to the implementation to connect IoT devices with the cloud, the security is achieved by using a hybrid encryption mechanism which provides the performance advantages of symmetric and asymmetric encryption algorithms. Where the Elliptic Curve Cryptography (ECC) algorithm is used for key generation and AES (Advanced Encryption Standard) algorithm is used for encryption and decryption of the sensors' data to provide a reliable computing environment. We have implemented the proposed system and showed the results of using CONTIKI COOJA 3.0 that connected with the cloud service provider, Evaluate a set of performance metrics such as power consumption, packet delivery ratio, and the algorithm execution time, in addition to verifying network immunity against the black hole attack.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129567826","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}

{"title":"Performance Comparison for COVID-19 Chest X-ray Images Classification based on Different CNNs","authors":"Wessam S. ElAraby, A. Madian","doi":"10.37394/232027.2022.4.9","DOIUrl":"https://doi.org/10.37394/232027.2022.4.9","url":null,"abstract":"Nowadays, the detection of the disease that is called Coronavirus or COVID-19 is essential for the whole world. Scientific researchers have spent significant efforts on better understanding the characteristics of the virus and possible means to prevent, diagnose and treat COVID-19. Convolutional neural networks (CNNs), have obtained remarkable results in numerous applications. One of these applications is image classification. Chest radiograph (X-ray) images can be requested for early COVID-19 classification of patients. Hence, this paper makes demonstrates different CNN architectures utilizing Chest radiograph database images for COVID-19: detection ( Kaggle’s X-ray chest images). It contains three different classes of images: 1) COVID-19, 2) normal, and 3) viral pneumonia Chest radiograph images. Therefore, three alternative CNN architectures like SqueezeNet, GoogleNet, and ResNet 50 have been realized using Matlab 2019a and numerical simulation has been performed. GoogleNet has achieved good performance based on the accuracy obtained with a value of 97.02% and it saves time-consuming. A performance comparison between different techniques has been carried out and this comparison shows that the detection is accurate enough for the non-uniform structure of the chest radiograph images.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"78 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116699291","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}

{"title":"FPGA Implementation of Enhanced Throughput Design of AES Architecture using Nikhilam Sutra","authors":"B. Pasuluri, V. K. Sonti","doi":"10.37394/232027.2022.4.8","DOIUrl":"https://doi.org/10.37394/232027.2022.4.8","url":null,"abstract":"The exponential growth of the internet and contemporary communications users have established safety as a fundamental design feature for encrypted transmission. The Enhanced Cryptography Standard is perhaps the most widely used cryptography information security algorithm standard that has been authorized by NIST. This paper proposes a high-throughput design for the AES Algorithm with huge key sizes. AES would be a block cipher that ensures data security by using key lengths of 128,192 and 256-bits. The design concept focuses on a 256-bit key size classification algorithm since a big key size is required to ensure excellent security. Additionally, simultaneous key expansion & encryption/decryption processes would be pipelined to maximize speed. Parallelization of a key expansion module's sub-processes would be used to reduce the critical chain latency. The S-box comprising sub-byte & inverse sub-byte operations has been developed with compound field arithmetic operations to reduce time and area further. The work Increased throughput by 50%, area reduced by 34.32 %, and latency by 20% compared to the old approach with modified nikhilam sutra. Additionally, integrated AES encryption/decryption is planned and implemented on the FPGA Zed board utilizing Verilog HDL in Xilinx Vivado.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"463 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115295063","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}

{"title":"Comparative Study Of P&O and PSO Particle Swarm Optimization MPPT Controllers Under Partial Shading","authors":"Mahbouba Brahmi, C. B. Regaya, Hichem Hamdi, A. Zaafouri","doi":"10.37394/232027.2022.4.7","DOIUrl":"https://doi.org/10.37394/232027.2022.4.7","url":null,"abstract":"Maximum power point tracking (MPPT) is a vital and essential requirement for photovoltaic (PV) systems under normal irradiance and partial shading conditions (PSCs). Although, perturb and observe (P&O) algorithm does not map the global maximum power point (GMPP), whereas the algorithm for particle swarm optimization (PSO) tracks it efficiently. This paper explores the rapid determination of GMPP under PSCs using a proposed particle swarm optimization MPPT technique which operates in conjunction with a boost converter. To achieve this analysis, MATLAB/SIMIULINK is used. The results of the simulation illustrate the high tracking performance of the proposed technique under various irradiance patterns.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116618404","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}

{"title":"Technology to Increase Energy Density of Electric Car Batteries","authors":"V. I. Zubtsov","doi":"10.37394/232027.2022.4.6","DOIUrl":"https://doi.org/10.37394/232027.2022.4.6","url":null,"abstract":"The article deals with a small-sized unit developed using ferro-piezoelectric ceramics for electric power generation. The use of an electrochemical generator in the unit makes it possible to increase the efficiency of electricity generation by controlling the polarization of ferro-piezoelectric ceramics. At the consumption of 1 joule of electricity, using mechanical energy, 3, 5...5 joules of output electrical energy are generated. The increase in the energy density of the batteries occurs in two stages: the first stage is to increase the degree of polarization of the segmentelectric, the second stage is to increase the electrical power to the load. The power plant efficiency is about 55...60 percent and depends on the ceramic modification and the electric circuit.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"360 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131969957","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}

{"title":"A QoS and Network Lifetime Aware Reliable Multicast Routing Protocol Using a Chaos Integrated Cuckoo Search Rider Optimization Algorithm","authors":"A. R. Rao, Valli Kumari Vatsavayi, C. Reddy","doi":"10.37394/232027.2022.4.4","DOIUrl":"https://doi.org/10.37394/232027.2022.4.4","url":null,"abstract":"In MANET, the multicast routing is considered as a non-deterministic polynomial (NP) complexity, it contains assorted objectives and restrictions. In the multicast issue of MANET, the Quality of services (QoS) based upon cost, delay, jitter, bandwidth, these are constantly deemed as multi-objective for intending multiple cast routing protocols. Conversely, mobile node has finite battery energy and the lifetime of network depending on its mobile node battery energy. If the mobile node has high battery energy consumption, it automatically reduces the network’s life time because of their route breaks. Alternatively, node’s battery energy has to be consumed to ensure higher level quality of services in multicast routing for transmitting the accurate data anywhere and anytime. Therefore, the network lifespan is deemed as multi-objective in the multicast routing (MR) problem. To overcome these issues, QoS and Dr. Valli Kumari Vatsavayi2 2Professor, Department of Electronic Communication and Engineering, Andhra University, visakhapatnam,Andhra Pradesh ,India. 2Email:vallikumariv001@yahoo.com Network Lifetime Aware Reliable Multicast Routing Protocol are proposed by applying Chaos integrated Cuckoo Search Rider Optimization Algorithm for effectual data transmission in MANET (QOS-MRP-CSROA-MANET). The proposed method is the joint execution of both the Cuckoo Search Algorithm with chaos theory (Chaotic-CSA) and Rider Optimization (ROA) algorithm and hence it is called as Chaotic-CSA-ROA, which is utilized to solve the MR problem of MANET. Here, the MR problem of MANET have five objectives, viz cost, delay, jitter, bandwidth, network lifetime are optimized with the help of Chaotic-CSA-ROA. Then the proposed method is simulated in NS2 simulator for validating the performance of the proposed QOS-MRP- CSROA-MANET system. Here, evaluation metrics, via delay, delivery ratio, drop, Network lifespan, overhead and throughput are analyzed with node, rate and speed. The proposed QOS-MRP-CSROA-MANET provide higher throughput in node as 32.9496% and 65.5839%, higher throughput in rate as 16.6049% and 30.4654%, higherthroughput in speed as 10.1298% and 7.0825%, low packet drop in node as 63.7313% and 52.2255%, low packet drop in rate as 51.5528% and 25.6220%, low packet drop in speed as 18.0857% and 24.5953% compared with existing methods, like QOS aware of multicast routing protocol using particle swarm optimization algorithm in MANET (QOS-MRP-PSOA-MANET) and QOS aware of multicast routing protocol using genetic algorithm in MANET (QOS-MRP-GA-MANET) respectively.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"100 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124375328","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}

{"title":"Power Data Quality Improvement Through PMU Bad Data Detection Based on Deep Complex Network","authors":"P. Kabra, D. S. Rani","doi":"10.37394/232027.2022.4.5","DOIUrl":"https://doi.org/10.37394/232027.2022.4.5","url":null,"abstract":"Phasor Measurement Units (PMUs) enable the switching of devices in various power signal modes. A jitter or glitch in a signal cause bad data and also the PMU data will spike due to a disturbance or a transmitting data mistake. As a result of these difficulties, PMU data suffer from different degrees of data quality problems. To detect the bad data, several approaches have been already utilized however it provides some disadvantages such as complexity due to the utilization of dual identical systems separately for analyzing both real and imaginary values of PMU. Likewise, the bad data due to the topology variations have not been optimally identified. To overcome these issues a Robust Bad Data Detection Technique has been proposed in which a Deep complex neural network (DCNN) is incorporated to process the complex number having both voltage magnitude and phase angle. Deep complex Networks are also proposed with the conjunction of topology processor and AC state estimator (SE). Moreover, instead of Batch normalization weight normalization is altered due to the fusion of recurrent timestamps for measuring voltage magnitude and phase angle. The comparative analysis is done in terms of accuracy , Bad data detection capability , bad data detection range and running time with existing techniques The proposed technique provides accuracy of about 99.5% which is higher than the existing techniques.","PeriodicalId":145183,"journal":{"name":"International Journal of Electrical Engineering and Computer Science","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115706701","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}