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Mitigation of attack patterns based on routing reliance approach in MANETs 2

Mitigation of attack patterns based on routing reliance appr...

引用

2nd IEEE international conference on Advances in Computing, Communication Control and Networking, ICACCCN 2020

作者： Saravanan, T. Nithya, N.S. Anna University Information Communication Engineering Chennai India KSR College of Engineering Department of Computer Science and Engineering Namakkal India

ISBN: (纸本)9781728183374

The process of achieving appropriate routing is a major crisis in network modeling where Mobile ad-hoc Networks (MANETs) possess an adversarial network because of the lack in appropriate infrastructure, transmission nature, and dynamical topology. These features trends to make effectual modeling of routing to be more challenging. This work proposes Patterns for Routing Reliance (PRR) approach by adopting Support Vector Machine (SVM) that replicates cognitive process and relies over the measurement of trust-level of data to avoid diverse routing disruption attacks. Here, mobile nodes pretends to share the reliable information and examines the trustful information based on its cognitive manner. However, the nodes are dynamically evolves with the elimination of malicious factors. The most effectual characteristics of PRR are that they may not compromise with the internal attackers even though it is aware of security mechanisms. This work evaluates the performance of PRR under diverse routing based attack disruption scenario. The simulation is done with MATLAB environment and the PRR approach pretends to improve the scalability and fulfills the effectual routing mechanism during occurrence of attacks over MANET. © 2020 IEEE.

关键词： Mobile ad hoc networks

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Dynamic economic load-emission dispatch in power systems with renewable sources using an improved multi-objective particle swarm optimization algorithm 2

Dynamic economic load-emission dispatch in power systems wit...

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2nd international conference on Electrical, Control and Instrumentation Engineering, ICECIE 2020

作者： Mehrpour, Mahni Seyedi, Iman Askari, Milad Saeb Nonprofit Institute Department of Computer Engineering Information Technology Abhar Zanjan Iran Islamic Azad University Zarindasht Branch Department of Electrical Engineering Zarindasht Iran IEEE IAS KualaLumpur Malaysia

ISBN: (纸本)9781728198774

The dynamic load and emission dispatch in daily cycles is an important problem in power supply-demand management. In this problem, the goal is to meet energy demand at the lowest possible cost and with the lowest possible environmental impact due to power generation. With the rising prices of fossil fuels and the advancement of power generation technologies, especially those concerning renewable energies, it is now impossible to ignore the potential effects of renewable sources on the dispatch problem. To address this issue, this study formulated the problem of dynamic load-emission dispatch for a single day period. Given the inherent uncertainty in the outputs of renewable sources, probabilistic models were used to reach a more accurate mathematical model for wind and solar generators. After formulating the problem with all operational constraints of power plants, a multi-objective particle swarm optimization algorithm was developed for solving this problem. In the proposed method, local and global searches of the algorithm are improved by the modeling of particle behavior. The resulting performance improvement is demonstrated through comparison with alternative solution methods. © 2020 IEEE.

关键词： Dynamic loads

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Smart Home Technology Network Construction Method and Device Interaction organization Concept 2

Smart Home Technology Network Construction Method and Device...

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2nd IEEE international conference on System Analysis and Intelligent Computing, SAIC 2020

作者： Dudnik, Andriy Kuzmych, Lyudmyla Trush, Olexander Domkiv, Tetyana Leshchenko, Olga Vyshnivskyi, Viktor Kyiv National Taras Shevchenko University Department of Network and Internet Technologies Kyiv Ukraine National Aviation University Department of Computerized Electrotechnical Systems and Technologies Kyiv Ukraine Kyiv National Taras Shevchenko University Department of Network and Internet Technologies Kyiv Ukraine Interregional Academy of Personnel Monitoring Department of Computational Mathematics and Computer Modeling Kyiv Ukraine State University of Telecommunications Department of Computer Science Kyiv Ukraine

ISBN: (纸本)9781728190822

The main tasks confirming the scientific novelty and practical value of this paper are the development, improvement and research of methods and technologies for constructing the Smart Home system. In this work, an intelligent home network monitoring system is developed, which is divided into subsystems for controlling electrical and electro-mechanical devices. A method has been developed for measuring the distance between wireless sensors in a smart home system, in order to determine the point of occurrence of an emergency situation. An algorithm for 'bypassing' wireless sensor devices in a smart home system has been developed and studied, which allows it to function in areas of lack of direct visibility. A concept has been developed for placing sensors and ensuring the stable functioning of systems, which allows for timely response to emergency situations. © 2020 IEEE.

关键词： Internet of things

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Optimal tuning of unified power flow controller using firefly algorithm to improve damping of inter-area oscillations in multi-machine system 2

Optimal tuning of unified power flow controller using firefl...

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2nd international conference on Smart Power and Internet Energy Systems, SPIES 2020

作者： Utami, Rathy Shinta Abu-Siada, A. Suwarno Hariyanto, Nanang Djalal, Muhammad Ruswandi Hartono, Joko Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia Curtin University Electrical and Computer Engineering Department Perth Australia Politeknik Negeri Ujung Pandang Department of Energy Engineering Makassar Indonesia PT PLN Research Institute Transmission and Distribution Department Jakarta Indonesia

ISBN: (纸本)9781728166117

The interconnection system faces inter-area oscillation challenges that affect power system stability. Conventional Power System Stabilizer (PSS) cannot provide effective damping to the inter-area oscillations. This paper deals with a Proportional Integral (PI) controller as a damping control scheme of the Unified Power Flow Controller (UPFC) to improve the damping of inter-area oscillation in a multimachine system. The proposed PI Controller-based UPFC is tuned using the Firefly algorithm (FA), and the performance is compared with PSS. simulation results show that the proposed PI Controller-based UPFC provides a better stability margin than PSS under the different conditions and effectively reduces the overshoot by 53%, accelerating the settling time by 74%, and minimizing the area graph by 85%. © 2020 IEEE.

关键词： Damping

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Cloud computing task scheduling based on improved differential evolution algorithm 2020

Cloud computing task scheduling based on improved differenti...

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2nd international conference on Artificial Intelligence and Advanced Manufacture, AIAM 2020

作者： Fu, Xueliang Hu, Yumeng Sun, Yang Computer and the Information Engineering Institute Inner Mongolia Agricultural University Hohhot Inner Mongolia China

ISBN: (纸本)9781450372022

In recent years, the introduction of intelligent optimization algorithm into cloud computing task scheduling to deal with the problem of massive task scheduling is a research hotspot. This paper proposes three improved differential evolution cloud computing task scheduling algorithms, and the application of the improved differential evolution algorithm in cloud computing task scheduling problem is mainly studied. The maximum task completion time is optimized by improving parameters F, CR, and variation strategies. Through two sets of simulation experiments, it is proved that three improved differential evolutionary cloud task scheduling algorithms have less task completion time than the traditional differential evolution algorithm, and the bigger the number of tasks, the more obvious the performance optimization of the algorithm. © 2020 ACM.

关键词： Cloud computing

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Integrated access control monitoring system based on face video detection 2

Integrated access control monitoring system based on face vi...

引用

2nd international conference on Consumer Electronics and computer Engineering, ICCECE 2022

作者： Zhai, Qian Institute of Computer Control Technology Guangzhou Huali College Guangzhou China

ISBN: (纸本)9781665408868

In order to realize the integrated entrance guard detection in the scene of random flow of *** with face recognition algorithm, the design method of integrated entrance guard monitoring system is proposed based on face video detection. A face video feature detection model in the scene of random flow of people is established, block matching on the face video features in the scene of random flow of people is performed, a living feature analysis model of face video monitoring in the scene of random flow of people is established by adopting the method of block feature information fusion, the face feature recognition and information fusion is realized by adopting the method of biological directional recognition, and the statistical features and edge detail parameters of face video in the scene of random flow of people are extracted, Combined with the face anti-deception algorithm, the authenticity of the face in the process of integrated entrance guard monitoring is judged. On the basis of dynamic biometric detection, the feature recognition of facial expressions under different expressions such as nature, smile and mouth opening are realized, and the integrated entrance guard monitoring is realized according to the feature recognition results. In the embedded and cloud technology environment, the alarm controller of integrated access control is built to realize access control, information privacy protection, image recognition and information playback, and the system hardware design is realized. The simulation results show that the designed integrated entrance guard monitoring system has high detection and recognition ability of face features and good recognition accuracy. © 2022 IEEE.

关键词： Monitoring

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Results of computer processing of digital spectrozonal images by the CLAHE algorithm 2

Results of computer processing of digital spectrozonal image...

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2nd international Scientific and Practical conference on Mathematical modeling, Programming and Applied Mathematics, ISPCMMPAM 2020

作者： Vaniev, A.A. Kalitov, M.A. Kornyshev, N.P. Research-and-production Company "elsy" Veliky Novgorod Russia Yaroslav-the-Wise Novgorod State University 41 ul. B. St. Petersburgskaya Veliky Novgorod Russia

The article discusses the features of the formation of spectrozonal images corresponding to narrow zones of registration digitally. It analyses the processes of the corresponding signal transformations. The results of computer simulations are discussed with the aim of qualitative assess of the degree of correspondence between optical spectrozonal imaging and the differential method of digital spectrozonal imaging and subsequent application of the CLAHE algorithm. The examples of images of test and real objects obtained as a result of processing initial spectrozonal images by this algorithm are given. © Published under licence by IOP Publishing Ltd.

关键词： Image processing

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computer simulation of the multiplicative method for the formation of digital spectrozonal images 2

Computer simulation of the multiplicative method for the for...

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2nd international Scientific and Practical conference on Mathematical modeling, Programming and Applied Mathematics, ISPCMMPAM 2020

作者： Kalitov, M.A. Kornyshev, N.P. Research-and-production Company Veliky Novgorod Russia Yaroslav-the-Wise Novgorod State University 41 ul. B. St. Petersburgskaya Veliky Novgorod Russia

The article discusses the features of the formation of digital spectrozonal images corresponding to narrow registration zones. TIt analyses the processes of signal transformations with the multiplicative method of forming digital spectrozonal images. The results of computer modeling are discussed with the aim of qualitative and quantitative comparison of images obtained with differential and multiplicative digital spectrozonal imaging. An example of images of test objects obtained by the differential and multiplicative method from the original digital spectrozonal images is given. © Published under licence by IOP Publishing Ltd.

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Design and Implementation of Carrier Detection System Based on FPGA 2

Design and Implementation of Carrier Detection System Based ...

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2020 2nd international conference on computer modeling, simulation and algorithm, cmsa 2020

作者： Zhang, Xian Qu, Taiguo Liu, Yiwen Yin, Dong Deng, Shaowei School of Computer Science and Engineering Huaihua University Huaihua Hunan China Key Laboratory of Intelligent Control Technology Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua Hunan418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing Application in Hunan Province Universities Huaihua Hunan418000 China

In order to better monitor and manage the signal transmission in the communication system and base station, and carrier detection is more effective. This paper designs a carrier(Carrier frequency) detection system based on FPGA, including system design requirements, FPGA selection, system framework design, carrier detection method design and so on. The performance indexes of the system are tested, such as carrier frequency range, carrier search time, carrier detection number and CPU consumption rate. The system has the advantages of high flexibility and good portability, and has a good application prospect in communication system, base station and other equipment. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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Grey Wolf algorithm based on S-function and particle swarm optimization 2

Grey Wolf algorithm based on S-function and particle swarm o...

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2019 2nd international conference on computer Information Science and Artificial Intelligence, CISAI 2019

作者： Liu, Chenyang Wang, Yongli School of Computer Science and Engineering Nanjing University of Scienc and Technology Nanjing210094 China

Based on the analysis of the shortcomings of the grey wolf optimization algorithm, an improved grey wolf optimization algorithm (SGWO) is proposed. The algorithm uses the convergence factor based on S-function change to balance the global search and local search ability of the algorithm. At the same time, the proportion weight based on Euclidean distance of step size and the individual optimal position of the particle swarm optimization algorithm are introduced to update the grey wolf position, thus speeding up the convergence speed of the algorithm to 8. The simulation results of three classical test functions show that the SGWO algorithm has higher accuracy and better ***. © Published under licence by IOP Publishing Ltd.

关键词： Particle swarm optimization (PSO)

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