International Journal on Electrical Engineering and Informatics最新文献

{"title":"A Novel Approach for Congestion Management in Transmission System with Advanced Control Using Innovative Algorithm","authors":"Baddu Naik Bhukya, Padmanabha Raju Chinda, S. Rayapudi","doi":"10.15676/ijeei.2022.14.1.3","DOIUrl":"https://doi.org/10.15676/ijeei.2022.14.1.3","url":null,"abstract":": This paper presents an effective method of congestion management in power systems. In a modern power system, it is sometimes problematic to allocate all the necessary power to a supply due to overloading the power lines. Congestions or overloads in transmission networks are alleviated by generation rescheduling and/or load shedding of participating generators and loads. The main objective is the alleviation of congestion, and the minimization of generation costs is optimised to provide optimal solutions. This work proposes an optimal power flow control for the management of congestion in transmission lines by the advanced interline power flow controller (AIPFC) using the Constriction Factor Based Particle Swarm Optimization (CFBPSO) algorithm. For power flow analysis, an advanced model of interline power flow controller (AIPFC) is embedded in the transmission network and it includes the impedance of the series coupling transformer and the line charging susceptance. An innovative algorithm, i.e., CFBPSO, is proposed to take care of OPF issues in the presence of advanced IPFC. The proposed method is implemented on the IEEE-30 bus test system under different loading and contingency conditions. The results are presented and analysed to establish the effectiveness in the reduction of congestion.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74983916","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":"Massive Machine Type Communication using Non-Orthogonal Multiple Access with Convolutional Neural Network Approach","authors":"Veronica Windha Mahyastuty, I. Iskandar, H. Hendrawan, M. S. Arifianto","doi":"10.15676/ijeei.2022.14.1.8","DOIUrl":"https://doi.org/10.15676/ijeei.2022.14.1.8","url":null,"abstract":": The 5G cellular network supports massive Machine Type Communication (mMTC) for Wireless Sensor Network (WSN) application. In this paper, High Altitude Platforms (HAPs) is used as a replacement for Base Station (BS). So that the cluster head (CH) from every cluster will send information owned to the HAPs by using the Power Domain Non-Orthogonal Multiple Access (PD NOMA) as a multiple access technique. PD NOMA uses the Successive Interference Cancellation (SIC) technique on the receiver side. SIC process is proven effective for detecting PD NOMA signal by sorting the received signal strength and then decoding it. However, error from the prioritized signal that has high decoding has a tremendous impact on the prioritized signal that has a way lower decoding, and this error can then further spread with the SIC process. In this paper, we propose a Convolutional Neural Network (CNN) approach to decode information from multiple CH without performing traditional communication signal processing. The simulation is already done by the Rician channel with 11 CH that is connected to the HAP. From the series of simulations that have been done, we can see that the CNN used to replace the conventional SIC on the uplink PD NOMA can detect NOMA signals without the use of conventional signal processing. The CH node nearest to the HAP requires a lower SNR than the CH node farthest from the HAP to achieve BER = 10-4 in both conventional uplink PD NOMA and uplink PD NOMA with CNN. Uplink PD NOMA with CNN has a lower complexity than conventional uplink PD NOMA.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83818435","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 Investigation of Routing Protocol with the velocity of 30 m/s for Random Mobility Model","authors":"A. Vyas, Margam K. Suthar","doi":"10.21203/rs.3.rs-1237065/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-1237065/v1","url":null,"abstract":"\u0000 A mobile ad-hoc network (MANET) is a network of mobile nodes short of Infrastructure, linked by wireless links. While mobility is the key feature of MANETs, the frequent movement of nodes may lead to link failure. A mobile multi-hop wireless ad hoc network carries a dynamic structure feature, and each node has mobility; due to this, the network has altered topology change dynamically. Developing the wireless ad hoc network protocol is the major challenge because, compared to the wired routing node, all node is mobile, energy limitation, the node's physical location, and multicast routing. In this article, a comparative investigation of routing protocol performance for large wireless ad hoc networks (100 nodes) under the impact of the random mobile environment with the velocity of 30 m/sec for 1800 seconds with ten different results for each node-set. The comparative analysis includes packet delivery ratio, throughput, packet dropping ratio, routing overhead, and end-to-end delay quality of service (QoS) metrics. It concludes that Ad-hoc On-demand Distance Vector protocol performance is more stable as the number of nodes & traffic increase in the random mobility environment.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83473932","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":"Gamification and Gaming Elements for Software Requirements Elicitation: A Systematic Literature Review","authors":"Sameen Gul, H. Dar, Abdul Rehman Malik, M. Zulqarnain, Salma Imtiaz","doi":"10.15676/ijeei.2021.13.4.11","DOIUrl":"https://doi.org/10.15676/ijeei.2021.13.4.11","url":null,"abstract":": Requirements elicitation holds a significant place in developing successful software, thus stands crucial for the success of any software project. There are numerous elicitation techniques present for eliciting requirements from the stakeholders, but these techniques are more textual in nature which give rise not only to problems like ambiguity, inconsistency, incompleteness but also lack of stakeholder’s involvement and interest in the system. If stakeholders are not properly engaged in the process, this could lead to disastrous outcomes. Researchers have worked on new ways of eliciting requirements from the user; one of them is using gamification. Gamification is a ‘ young ’ yet exciting way of engaging stakeholders to the system. It uses game mechanism and elements in non-gaming context. Several studies have referred its use as ‘the use of non-serious context in a serious context’ . In this article, SLR is presented on gamification in elicitation of requirements. Although, there are multiple studies on gamification in requirements elicitation, yet none of them targeted the suitable game elements for elicitation, and undesirable features of gamification during elicitation. For this purpose, we have surveyed 525 initial and 48 primary studies. A set of 18 game elements suitable for requirements elicitation except points, badges, leaderboards (PBL) were determined. Also, undesirable features of gamification and the solution to overcome these challenges have also been identified. Furthermore, effect of gamification on verbal communication during elicitation has also been determined. This study effectively contributes to highlighting the role of gamification in eliciting requirements from the users. This study also provides answers to the research questions which will be helpful for practitioners and software development teams while performing elicitation. qualities of gamification, undesirable features, requirements extraction, unacceptable features of gamification, gamification","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73490166","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 Enhancement of PV Grid Connected Systems with Different Fault Conditions","authors":"S. Abdelwahab, A. Elbaset, Fahd Yousef, Walid S. E. Abdellatif","doi":"10.15676/ijeei.2021.13.4.8","DOIUrl":"https://doi.org/10.15676/ijeei.2021.13.4.8","url":null,"abstract":": PV energy is abundant and sustainable energy that photovoltaic (PV) cells can transform directly into electricity. The PV array output energy is dependent on the change in solar radiation and temperature . Maximum Power Point Tracking (MPPT) techniques are used in the PV systems to track maximum energy under rapidly changing weather conditions. Also, the rapid increase of Solar energy penetration in the electric grid necessitates keeping connected to the grid during abnormal operating conditions, especially voltage sag and grid short circuit. This paper presents the modeling and simulation of MPPT of a grid-connected PV system with the incremental conductance (INC) technique. INC results compared with perturbing and observe (P&O) scheme. Also, to analyze the PV system during faults on utility power grid and determine the effects of faults as a function of the location where the fault occurs. Improving the fault ride-through (FRT) capability of PV system during faults on the utility power grid by s Crowbar Strategy is introduced in this paper. The performance is estimated and compared by mathematical investigation and simulation analysis. To validate the correctness of the proposed methods is used the MATLAB /Simulink toolbox. The performance of the proposed INC MPPT indicates that the INC reaches the optimum power point more effectively than the (P&O) scheme, in addition; the FRT capability enhancement by using the crowbar technique. This article introduces the MPPT of a grid-connected PV system as a simulation and experimentally tracks the speed of PV radiation change in different operating conditions.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79624843","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":"Securing RPL Routing Path for IoT against rank attack via utilizing layering technique","authors":"Ahmed R. Zarzoor","doi":"10.15676/ijeei.2021.13.4.2","DOIUrl":"https://doi.org/10.15676/ijeei.2021.13.4.2","url":null,"abstract":"RPL is common protocol for the Internet of Things (IoT) network, that used for routing data freely among smart \"things\" in various environments. Which makes them susceptible to attack, especially of the rank attack (RA) that is common for RPL that based on manipulated the rank value for each node in the network to disrupt the routing path. Also, RA is increasing latency between (source node and destination node) and maximizing nodes’ energy usage in the whole network. Therefore, in this study a new technique is proposed to protect RPL against rank attack based on layering mechanism. The proposed technique consists of three steps: Classifying node into layers, calculating path trust value and identifying and alleviating rank attack. The method is implemented via using Cooja simulator software. The network performance is measured according to three metrics: latency, nodes’ energy consuming and accuracy of malicious node detection. The simulation results have revealed that the proposed method gives higher accuracy of malicious node detection, low nodes’ energy usage, and less latency in comparison with SecTrust study.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"143 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83800057","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":"Study and Treat the Effect of Loads and Radiation Changes for the Standalone Photovoltaic System by a Hybrid Storage System","authors":"Ali Gaeed Seger, S. Khosroabadi","doi":"10.15676/ijeei.2021.13.4.4","DOIUrl":"https://doi.org/10.15676/ijeei.2021.13.4.4","url":null,"abstract":": In this paper, the effect of variation of solar irradiance and load conditions on hybrid standalone Photovoltaic (PV) with energy storage system are studied. An efficient energy management and control system (EMS) based on Proportional-Integral (PI) strategy is proposed. The proposed strategy is designed to share the optimal energy between batteries and supercapacitors (SC) to suit the state of charging, pumping and distributing power over loads. Moreover, the batteries are protected against overcharging state and this leads to rise the batteries' heat and thus shortens. Also, the SC has been supported and protected the batteries, as well as treating the increase in energy and sudden drop due to the high load demand. And, a current control scheme for the three-phase voltage source inverter (VSI) with pulse width modulation (PWM) is used. As a result, maintaining the stability of the energy in cases of voltage surges, and working on the balance and stability of energy in the different ratios of radiation, temperature, or loads. To validate the proposed EMS, MATLAB/Simulink is used and the simulation results are obtained with different case studies of load variation and irradiances. From the simulation results it clear that the proposed EMS show good performance and higher efficiency especially in fast change in solar irradiance.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88446274","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":"Classification of Power Quality Disturbances using Wavelet Packet Information Entropy Feature Vectors and Probabilistic Neural Network","authors":"Laxmipriya Samal, Hemanta Kumar Palo, B. Sahu","doi":"10.15676/ijeei.2021.13.4.6","DOIUrl":"https://doi.org/10.15676/ijeei.2021.13.4.6","url":null,"abstract":": This paper illustrates the automatic recognition of power quality disturbances (PQDs) using Wavelet Packet Tuned Probabilistic Neural Network ( WP-PNN ) structure. Eight statistical parameters are extracted from the WP by decomposing a signal into the fourth level. The PNN is simulated with these statistical parameters for performance appraisal. The Information Gain (IG) feature selection algorithm has been applied to rank the feature subsets based on high IG entropy. 16 significant WP-IG features are extracted from 128 features computed from the WP statistical coefficients. The objective is to discard redundant data for better accuracy and lower computational complexity. A two-stage experimental analysis has been carried out to validate the WP-IGPNN structure. Initially, t he PQ data set is procured by regularly varying the parameters of mathematical models and choosing the best features using IG to experience the highest accuracy. Finally, the coefficient values which are not chosen in the earlier case have been used to generate a new data set. The classification accuracy has been observed using the new data set with the same chosen feature set as used in the first stage. The noisy signals are also investigated to simulate the classifier to validate the proposed WP-IGPNN structure.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"151 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91135845","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 Novel Hybrid Network for Arabic Sentiment Analysis using fine-tuned AraBERT model","authors":"N. Habbat, H. Anoun, L. Hassouni","doi":"10.15676/ijeei.2021.13.4.3","DOIUrl":"https://doi.org/10.15676/ijeei.2021.13.4.3","url":null,"abstract":"The pre-trained word embedding models become widely used in Natural Language Processing (NLP), but they disregard the context and sense of the text. We study in this paper, the capacity of pre-trained BERT model (Bidirectional Encoder Representations from Transformers) for the Arabic language to classify Arabic tweets using a hybrid network of two famous models;Bidirectional Long Short Term Memory (BiLSTM) and Gated Recurrent Unit (GRU) inspired by the great achievement of deep learning algorithms. In this context, we finetuned the Arabic BERT (AraBERT) parameters and we used it on three merged datasets to impart its knowledge for the Arabic sentiment analysis. For that, we lead the experiments by comparing the AraBERT model in one hand in the word embedding phase, with a statics pretrained word embeddings method namely AraVec and FastText, and on another hand in the classification phase, we compared the hybrid model with convolutional neural network (CNN), long short-term memory (LSTM), BiLSTM, and GRU, which are prevalently preferred in sentiment analysis. The results demonstrate that the fine-tuned AraBERT model, combined with the hybrid network, achieved peak performance with up to 94% accuracy.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73888005","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":"AMCSFFT-CIE: Alternate Multi-dimensional Chaotic Structure and Fast Fourier Transform based Novel Approach to Color Image Encryption","authors":"M. Dua, Shelza Dua, Priyanka Jaroli","doi":"10.15676/ijeei.2021.13.4.9","DOIUrl":"https://doi.org/10.15676/ijeei.2021.13.4.9","url":null,"abstract":": Low-dimensional chaotic maps are used for encrypting images because of their simplicity and low implementation cost. However, such chaotic systems are less secure and are slow in encryption speed as compared to multi-dimensional chaotic systems. This paper proposes the combination of spatial domain and frequency domain for image encryption. The proposed combination uses Four-dimensional chaotic map Lorenz System (LS) for key generation and alternate logistic structure for permutation-diffusion process. Initially, Lorenz System (LS) generates the security key using matrices color image’s R, G, and B components. Secondly, one dimensional and two dimensional chaotic structures are used to generate a chaos matrix i.e. the two logistic maps are iterated alternately for diffusing the matrix. Finally, the diffused plain image matrix is encoded into the phase and amplitude of the composite function which is encrypted with white noise distribution by using the fast Fourier transform. The simulated outcomes describe that the proposed approach increases the key space value, encryption speed and resists brute force attacks.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79659562","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}