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Comparative Analysis of Search algorithm based Loss Minimization Techniques used in Vector Controlled Induction Motors

Comparative Analysis of Search Algorithm based Loss Minimiza...

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Smart Power & Internet Energy Systems (SPIES), international conference on

作者： Hamed Bizhani S. M. Muyeen Fatemeh R. Tatari Fei Gao Hua Geng University of Zanjan Zanjan Iran Curtin University Perth Australia University of Birjand Birjand Iran School of Energy and Computer Sciences University of Technology of Belfort-Montbéliard Belfort France Tsinghua University Beijing China

ISBN: (数字)9781728166117

ISBN: (纸本)9781728166124

This paper presents a comprehensive study for online loss minimization of induction motor (IM) drives. Each loss minimization algorithm has its advantages and disadvantages. In order to achieve effective conclusion for search algorithm based loss minimization techniques (SABLMTs), a comparison between five optimization algorithms including the genetic algorithm (GA), particle swarm optimization (PSO), chaotic optimization algorithm (COA), simulated annealing (SA), and imperialist competitive algorithm (ICA) is presented. For this purpose, the induction motor and its loss model considering core loss in the d-q reference frame are used. The optimum magnetization current along with the linkage flux are determined in a way that the induction motor loss is minimized considering different loads. The performance of the online optimization-based vector-controlled IM is analyzed using MATLAB/Simulink software in which the online algorithms are implemented by Embedded Matlab Function block in the Simulink environment. The simulation results show that using the SABLMTs provides better efficiency for IM drives especially in light loads without imposing any undesired effects on the dynamic performance of the IM drives. At the end, to make a proper conclusion, different SABLMTs are compared in terms of the processing time and accuracy.

关键词： Induction motors Heuristic algorithms simulation Minimization Optimization Genetic algorithms Matlab

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Online Parameter Estimation of an Electric Vehicle Lithium-Ion Battery Using AFFRLS

Online Parameter Estimation of an Electric Vehicle Lithium-I...

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international conference on Electronics, Control, Optimization and computer Science (ICECOCS)

作者： Elmarghichi Mouncef Bouzi Mostafa Ettalabi Naoufl Laboratory of Mechanics Computer science Electronics and Telecommunications. Faculty of Sciences and Technology Hassan first University Settat Morocco

ISBN: (数字)9781728169217

ISBN: (纸本)9781728169224

The most commonly adopted techniques used to estimate the state of charge SOC of a battery rely on equivalent circuit model ECM, the problem is that battery equivalent model parameters vary with many factors such as SOC, temperature, battery aging and so forth, which lead to SOC estimation error. Therefore, it is critical to accurately identify these parameters. One technique, known as online parameter identification, in which parameters of the battery model are constantly updated can be implemented to solve this issue effectively. In this paper, we suggest a new algorithm AFFRLS (adaptive forgetting factor recursive least squares) to extract the parameter of the battery model, then to predict the output voltage, and compare it to the original RLS (recursive least squares). To assess these techniques, we used experimental data performed on the LG 18650HG2 Li-ion Battery. We supplied the data to the algorithms and compared the estimated output voltage for one dynamic profile named the urban dynamometer driving schedule UDDS. Results show that AFFRLS has low distribution in high error range up to 6.4% less than RLS, this means that AFFRLS has a better parameter identification.

关键词： Batteries State of charge Integrated circuit modeling Predictive models Heuristic algorithms Voltage measurement Mathematical model

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Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process 2nd

Attitudes to Vaccination: How the Opinion Dynamics Affects...

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2nd international conference on modeling and simulation of Social-Behavioral Phenomena in Creative Societies, MSBC 2022

作者： Kumacheva, Suriya Zhitkova, Ekaterina Tomilina, Galina St. Petersburg State University 7/9 Universitetskaya nab. St. Petersburg199034 Russia EPAM Systems Spain S.L. Avd. Imperio Argentina 19–21 2 planta Malaga Andalucia29004 Spain

ISBN: (纸本)9783031337277

A hypothesis about the influence of the opinion dynamics on the subsequent epidemic process is considered. The existence of relation between the population’s attitude to vaccination and the dynamics of the influenza epidemic is assumed. Emphasis is placed on the spectrum of opinions of the population: from extremely negative to super-positive. Along with persons who are firmly confident in their point of view and propagandize it, there are doubting agents who make their choice to vaccinate or not under the influence of others’ opinions. Their decisions have an impact on the formation of their personal immunity and of the collective immunity of entire population. Opinion dynamics is assumed to be completed before the seasonal influenza rising incidence starts, and each individuum has decided to vaccinate or not until this moment. The purpose of this study is to identify the relationship between the parameters that characterize the opinions’ influence in the population and the number of people who have been infected (vaccinated and unvaccinated) at the beginning of influenza epidemic. simulation modeling of the dynamics of opinions is carried out using a network model for graphs of various configuration (grid, strongly connected graph, weakly connected graph). modeling is carried out in a closed population using statistical data on morbidity and annual vaccination campaigns in Russia. The epidemic (SIR) process is represented by modification of the classical Kermack-McKendrick model (1927). A series of repeated simulations was carried out, a numerical experiment based on statistical data and scenario analysis were performed. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Dynamics

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Sensitiveness Based Strategy for Network Compression

Sensitiveness Based Strategy for Network Compression

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international conference on Industrial Artificial Intelligence (IAI)

作者： Yiheng Lu Kaiyuan Feng Hao Li Yue Wu Maoguo Gong Yaoting Xu School of Electronic Engineering Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Xidian University School of Computer Science and Technology Xidian University

ISBN: (数字)9781728182162

ISBN: (纸本)9781728182179

The success of convolutional neural networks has contributed great improvement on various tasks. Typically, larger and deeper networks are designed to increase performance on classification works, such as AlexNet, VGGNets, GoogleNet and ResNets, which are composed by enormous convolutional filters. However, these complicated structures constrain models to be deployed into real application due to limited computational resources. In this paper, we propose a simple method to sort the importance of each convolutional layer, as well as compressing network by removing redundant filters. There are two implications in our work: 1) Downsizing the width of unimportant layers will lead to better performance on classification tasks. 2) The random-pruning in each convolutional layer can present similar results as weight-searching algorithm, which means that structure of the network dominates its ability of representation. As a result, we reveal the property of different convolutional layers for VGG-16, customized VGG-4 and ResNet-18 on different datasets. Consequently, the importance of different convolutional layers is described as sensitiveness to compress these networks greatly.

关键词： Maintenance engineering Computational modeling Training Image coding Task analysis Stability criteria Sorting

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Effects of Runtime Generated S-Boxes to the DES Model

Effects of Runtime Generated S-Boxes to the DES Model

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international Multidisciplinary Information Technology and Engineering conference (IMITEC)

作者： Nyaradzo Alice Tsedura Colin Chibaya Computer Centre University Of Zimbabwe Harare Zimbabwe Computer Science and Information Technology Sol Plaatje University Kimberly South Africa

ISBN: (数字)9781728195209

ISBN: (纸本)9781728195216

The Data Encryption Standard (DES) is a cryptographic algorithm designed using various static tables. Among these static tables are substitution boxes, generally called S-Boxes. S-Boxes are viewed as an important aspect in block ciphers because cryptographically strong S-Boxes imply stronger security. This paper investigates the effects of introducing dynamic S-Boxes in the DES cipher which are generated at run time without following any specific order. These S-Boxes would alter the entries of the original S-Boxes, and would be used in any dynamic sequence. We present a method of populating S-Boxes based on the concept of logistic maps in chaos theory. That way, great qualities of dynamism are attained. Additionally, we exploit in-built functions in Java to randomize number generation before encryption and decryption. It will also be labeled in order to prevent it from being picked again. We tested and analyzed the performance of the new algorithm against the benchmark original DES. We tested and analyzed the performance of the new algorithm against the benchmark original DES. The results yielded were categorized into four, namely; CPU usage, memory usage, number of classes, and number of threads. Generally, the new DES out-performed the old DES. Initially we present the background and statement of the problem, then our findings from literature followed by our proposed methodology and finally the results and analysis which showed encryption and decryption will still be successful despite having dynamic S-Boxes instead of the static ones. Our work makes a computational contribution to the DES design, introducing dynamic runtime generated S-Boxes whose sequence and entries are also dynamic.

关键词： Ciphers Runtime Heuristic algorithms Computational modeling Benchmark testing Encryption Logistics

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DEENR vs C3R: A Comparative Analysis of Connectivity Restoration Protocols

DEENR vs C3R: A Comparative Analysis of Connectivity Restora...

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international conference on computer & Information Science (ICCIS)

作者： Mahmood ul Hassan Shahzad Ali Khalid Mahmood Amin Al Awady Omar Abdul Rahman Ali Ismil Deanship of preparatory year Najran University Najran Saudi Arabia Jouf University Tabarjal Kingdom of Saudi Arabia College of Science and Arts King Khalid University Tehama branch Saudi Arabia Deanship of Preparatory Year Najran University Saudi Arabia

ISBN: (数字)9781728154671

ISBN: (纸本)9781728154688

Due to their diverse range of applications, Wireless Sensor Networks (WSNs) have been the center of attention for research since last few decades. Due to their inherent characteristics, mostly WSNs are deployed in hostile environments where human intervention is mostly infeasible. A sensor node failure is a common phenomenon in WSNs and node failure leads to partitioning of the networks resulting in loss of inter-node connectivity. Loss of connectivity can compromise the operation of the whole sensor network. Therefore, rapid recovery of partitioned network is crucial for persistence of the operation of the sensor network. In the literature, a plethora of different approaches regarding the restoration of inter-node connectivity are present. However, these approaches have not focused on the efficient use of energy, coverage-aware mechanisms, and connectivity restoration in an integrated manner. In this paper we compare two representative approaches for connectivity restoration named C 3 R (Coverage Conscious Connectivity Restoration) and DEENR (Distributed Energy Efficient Node Relocation algorithm). Both of these approaches are thoroughly evaluated with respect to multiple performance metrics by using extensive simulations in NS-2. simulation results conclude that DEENR prove to outperform C 3 R with respect to multiple performance metrics.

关键词： Wireless sensor networks Protocols Energy efficiency Batteries Broadcasting Sensors computer science

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Optimization of Communication Network Efficiency Based on Cloud Computing 2019

Optimization of Communication Network Efficiency Based on Cl...

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Proceedings of the 2019 The 2nd international conference on Robotics, Control and Automation Engineering

作者： Jin Jin Jingtao Luo Guoquan Zhang College of Electrical Engineering Northwest Minzu University Lanzhou Gansu China and Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Lanzhou Gansu China College of Electrical Engineering Northwest Minzu University Lanzhou Gansu China College of Mathematics and Computer Science Northwest Minzu University Lanzhou Gansu China

ISBN: (纸本)9781450376228

With the continuous development of communication Internet technology, the amount of data has increased dramatically. Massive data has placed extremely high demands on storage. Moreover, servers in the cloud data center have disk failures and rack failures, and there are often data loss events. occur. In order to prevent accidental data loss, improve data access efficiency, and ensure high-quality service supply, multiple copies of the original data are deployed in different nodes in the system and distributed in different servers. In this paper, the simulated annealing algorithm is introduced. By comparing the frequency of copy use, the copy position is migrated and moved to a node relatively close to the user to improve the communication efficiency of the high frequency copy. Finally, through the simulation of CloudSim, the feasibility of the algorithm in replica communication is verified.

关键词： multiple replicas simulated annealing algorithm cloud computing efficiency of communication

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Genetic algorithm based Chain Leader Election in Wireless Sensor Network for Precision Farming

Genetic Algorithm based Chain Leader Election in Wireless Se...

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IEEE international conference on Artificial Intelligence in Engineering and Technology (IICAIET)

作者： Hamzarul Alif Hamzah Norah Tuah Kit Guan Lim Min Keng Tan Ismail Saad Kenneth Tze Kin Teo Faculty of Engineering Modelling Simulation & Computing Laboratory Universiti Malaysia Sabah Kota Kinabalu Malaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Kota Kinabalu Malaysia Faculty of Engineering Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (数字)9781728169460

ISBN: (纸本)9781728169606

Wireless Sensor Network (WSN) is one of the commonly used technologies in Precision Farming (PF). It provides farmers with accurate real-time information on their farms. In practice, WSN consists of numerous wireless sensor nodes, where each node relies on limited energy sources such as battery to maintain its operation. The energy management issue in WSN has gained attention of scholars, leading to new protocols or schemes developed over the years. Conventionally, PEGASIS protocol selects chain leader without considering the distance and residual energy level of each sensor node. As such, it might increase the energy consumption rate to transmit collected data from sensor node to sink. Inadequate energy management leads to rapid energy drain and eventually shorten the lifespan of WSN. Therefore, this study aims to prolong the lifespan of WSN while minimizing the energy consumption. Genetic algorithm (GA) is proposed to enhance the chain leader selection scheme of the conventional PEGASIS. The proposed GA will select optimum chain leader by considering the energy consumption rate of each node. As such, the proposed algorithm is able to increase node's transmission as well as improve the lifespan of WSN by 50% as compared to the conventional approach.

关键词： Wireless sensor networks Protocols Peer-to-peer computing Mathematical model Data communication Genetic algorithms Energy consumption

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Handling BigInteger Computations in the Implementation of the RSA Model

Handling BigInteger Computations in the Implementation of th...

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international Multidisciplinary Information Technology and Engineering conference (IMITEC)

作者： Nemuramba Denzhe Colin Chibaya Sol Plaatje University Kimberley South Africa

ISBN: (数字)9781728195209

ISBN: (纸本)9781728195216

Developing systems that can handle very large integers is challenging, especially if we are trapped in using some of the well-known programming languages such as VB, C++, Delphi, or Java. Their numeric data types have defined finite ranges. Innovative methods are required to enable the handling of large integer over and above the ranges supported by available primitive data types. Implementation of the RSA model is a typical case where very large integers are used. This paper investigates incorporation of very large integers into the implementation of the RSA model. We precisely describe parts of the RSA algorithm where such innovations are sought and how the concept of the BigInteger class fits in. Our illustrations assume programming in Java. While the BigInteger class is available for use in mathematical procedures involving very large integral sums beyond the limits of the appropriate basic data type, developers either do not or rarely use the class due to lack of functional examples of where such libraries were used. This paper provides valuable insights into the potential advent of new data types. These insights provide basic insights into the potential need for new developments in programming languages, especially the need to invent even larger types of numerical data types in programming languages. In our views, this work in progress offers foundational views towards implementation of better siblings of the RSA model.

关键词： computer languages Technological innovation Computational modeling Receivers Programming Numerical models Mathematical model

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Block-SDoTCloud: Enhancing Security of Cloud Storage through Blockchain-based SDN in IoT Network

Block-SDoTCloud: Enhancing Security of Cloud Storage through...

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Sustainable Technologies for Industry 4.0 (STI), international conference on

作者： Anichur Rahman Md. Jahidul Islam Md. Saikat Islam Khan Sumaiya Kabir Ahmed Iqbal Pritom Md. Razaul Karim National Institute of Textile Engineering and Research (NITER) Green University of Bangladesh Mawlana Bhashani Science and Technology University

ISBN: (数字)9781665404891

ISBN: (纸本)9781665404907

Software Defined Networking (SDN) and Blockchain (BC) are the most recent research trends in emerging technology. These technologies have currently been used in the IoT networking environment for various purposes, such as protection, stability, scalability, confidentiality, and so on. Such techniques can be used in this regard to effectively provide security, privacy, and confidentiality to cloud storage. In this paper, the authors proposed Block-SDoTCloud architecture to significantly enhance security within the cloud storage network. In order to give the cloud storage environment the requisite facilities, two leading technologies, i.e., SDN and Blockchain were applied. The centralized SDN controller provided the proposed model with tremendous reliability, versatility, and load balancing in one side while on the other hand, a distributed Blockchain created a deep trust between the transaction levels resulting into effective protection for the presented scheme. The efficiency of the proposed architecture is justified through close observation of simulation with a careful selection of relevant parameters.

关键词： Cloud computing Blockchain computer architecture Stability analysis Security Software defined networking Load modeling

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