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Research RSA Accumulator-Based Stateless Blockchain Optimisation for Smart Contracts

Research RSA Accumulator-Based Stateless Blockchain Optimisa...

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2023 International Conference on Cyber Security, Artificial Intelligence, and Digital Economy, CSAIDE 2023

作者： Zhuang, Jinyu Fan, Hongbo Li, Xiang Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan Kunming650500 China Yunnan Key Laboratory of computer technology application Kunming University of Science and Technology Yunnan Kunming650500 China

ISBN: (纸本)9781510666597

Scalability has grown more important as blockchain technology is adopted. This study introduces RSA-accumulator-based stateless blockchain performance optimization. Verifiable computing technology and distributed design compress node state data and prove smart contract validity, while a new smart contract execution logic and transaction verification scheme solve the problem of transaction verification and execution under stateless conditions, increasing system throughput. The technique reduces consensus node storage and improves throughput compared to Ethereum blockchains, according to experiments. This study examines the scheme's concept, implementation, and blockchain scalability potential. © 2023 SPIE.

关键词： Smart contract

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Electricity Meters Testing Risks 15

Electricity Meters Testing Risks

引用

15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Danilevich, Sergey B. Tretyak, Vitaly V. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9781665434089

Product quality testing should be effective. It is necessary to minimize the risks of making erroneous decisions. During testing, errors of the 1-st kind (a suitable product is rejected) and the 2-nd kind (an unsuitable product is mistakenly accepted) can occur. Quality indicators of mass-produced products testing are the risks for customers and manufacturers. The risks assessment accuracy depends on several factors. It is proposed to use the upper confidence limits of the indicated risks when developing and certifying control methods. It was proposed to find these confidence limits and requirements for the measurement accuracy during control by the Monte Carlo method. The advantage of this method is the ability to obtain numerical results without performing a physical experiment or complex analytical calculations. Quantitative estimates of desired risks of making erroneous decisions when testing electric meters are obtained. Due to this method, it is possible to investigate the dependence of these risks on the volume of the products controlled sample considering the measurement results uncertainty. The method also allows the reasonable establishment of 'control' tolerances to ensure the test results required validity. © 2021 IEEE.

关键词： Monte Carlo methods

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Effectiveness Research of the Apriori Algorithm Implementations as Part of the Recommendation System 15

Effectiveness Research of the Apriori Algorithm Implementati...

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15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Stubarev, Igor M. Alsowa, Olga K. Yakimenko, Alexander A. Novosibirsk State Technical University Faculty of Automation and Computer Engineering FB Consult Novosibirsk Russia Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia Novosibirsk State Technical University Faculty of Automation and Computer Engineering Institute of Computational Mathematics and Mathematical Geophysics SB RAS Novosibirsk Russia

ISBN: (纸本)9781665434089

The article presents a comparison of the author's implementation of the Apriori algorithm with implementation presented in the *** library. A comparison of various parallel implementations of this algorithm is also shown. The main objective of the article is evaluating the efficiency of the Apriori affinity analysis algorithm implementation by the speed of creating an association rules list. The results of testing on the data provided by the company 'FB Consult' are given. The test results show an increase in performance of the optimized parallelized implementation by about 5.28 times compared to the implementation from ***. This article clearly shows that optimization of the algorithm in order to reduce the running time by using binary vectors and operations on them gives more significant speedup than parallelization. Whereas when parallelizing, attention should be paid to the computation of support for association rules, because based on the results of this function, most of the association rules will be eliminated. © 2021 IEEE.

关键词： Association rules

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Program Module Development for Generation Structural Alternatives Serial-parallel Functional Networks 15

Program Module Development for Generation Structural Alterna...

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15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Yastrebova, Svetlana V. Grif, Mikhail G. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9781665434089

The paper considers the field of designing functional networks in human-machine systems based on the functional-structural theory. Current research is constructing an algorithm for generation structural and parametrical alternatives serial-parallel functional network. The description of software development that will help in automation of the design processes for hybrid expert system Intellect-3was made based on the proposed algorithms. The existed functioning will be updated and a new module will be created in purpose to extend an ability of this module realization. There will be used a new stack of technologies which *** 6, C# 10 and ***. It will help in creation a storage, which will collect all functional networks for a future use. The storage will help in creation a knowledge base, which will be very useful in filtration and functional network search, and it will be possible to classify functional networks in the future updates of Intellect-3. © 2021 IEEE.

关键词： Man machine systems

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Synthesis of a Controller for a System with a Delay 15

Synthesis of a Controller for a System with a Delay

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15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Voevoda, Aleksandr A. Shipagin, Victor I. Novosibirsk State Technical Univercity Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9781665434089

The task of controlling some systems is complicated due to the fact that real technical plants may contain delay links. That is, there is a certain time period when there is no reaction from the regulated plant to the control action. Usually, the delay link presence negatively affects the quality of such system management. There are various ways to synthesize a control system for such systems. These include: Smith predictors, specialized control tuning algorithms, the use of self-Adjusting systems with active adaptation. However, they impose additional requirements on the system dynamics or are complex in technical implementation and configuration. Within the framework of this article, an attempt is made to calculate the controller by the polynomial method for a plant with a delay. The delay mathematical model is obtained by approximating the delay link by Pade series. To ensure the necessary dynamics of the transition process, we will require the system to preserve the poles of the delay link. Then the controller, calculated for a system with a delay link in the form of a Pade series, is applied to a system with an 'ideal' delay. For clarity of the calculations carried out, an plant in the form of a aperiodic combination and integrating links connected in different ways is taken as an example. The integrating link is necessary to give the system astatic properties. As a delay, we will use the approximation of a number of Pads of different orders. The lag link gives the system an unstable character. © 2021 IEEE.

关键词： Controllers

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Research and Development of the Convolutional Neural Network for Pneumonia Recognition in Radiographs 22

Research and Development of the Convolutional Neural Network...

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22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021

作者： Antonov, Konstantin O. Alsova, Olga K. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9781665414982

In this paper, we present the results and analysis of using the convolutional neural network (CNN) for pneumonia recognition in radiographs. The network architecture was developed, and the author's software implementation of the CNN model using TensorFlow/Keras framework is proposed. The classes in the dataset are imbalanced, and we used a combination of approaches to prevent overfitting problem such as increasing the cost of classification mistakes on the minority class, increasing the amount of data (data augmentation), exclusion of a certain percentage of neurons during training (dropout) and others. The model gave us the next results: accuracy is 0.91, precision is 0.9, recall is 0.97, roc-auc is 0.96. The obtained results allow making a conclusion about the effectiveness of using the developed CNN model for pneumonia recognizing. © 2021 IEEE.

关键词： Classification (of information)

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Solving One Problem of Optimal Production and Material Flow Management of a Garment Manufacturer 15

Solving One Problem of Optimal Production and Material Flow ...

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15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Baranova, Nina V. Mezentsev, Yurii A. Pavlov, Pavel S. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9781665434089

The optimization problem of forming a production program for the needs of a small sewing enterprise is solved. The results of the search and comparative analysis of the studies carried out in the last decade, which consider similar approaches to the application of discrete optimization tools to the problem of finding a production program, are presented. The substantiation of the relevance and novelty of the research is given, which consists in the fact that a new formulation of the discrete optimization problem has been created, which would take into account all the main aspects of production activities: from the selection of suppliers to the determination of sales plans for all types of buyers and the determination of sales prices. The input data for the program have been collected and agreed, tests that have shown the effectiveness of the proposed solution have been calculated on the real data of the enterprise. Further vectors for the development of the work have been determined. © 2021 IEEE.

关键词： Sales

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Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems

Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Ed...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Yuan, Haitao Wang, Meijia Bi, Jing Zhang, Jia School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing University of Technology Faculty of Information Technology Beijing China Lyle School of Engineering Southern Methodist University Dept. of Computer Science DallasTX United States

ISBN: (纸本)9798350337020

Current mobile edge computing (MEC) owns cloud resources at the network edge, which enables low-latency mobile services. In addition to fixed MEC servers, MEC proxy servers with certain mobility and limited computing, e.g., flying unmanned aerial vehicles (UAVs), and vehicles, have emerged as competitors in providing services. In this work, aiming at a task offloading problem of a UAV-assisted MEC system, a hybrid network environment with multiple mobile devices (MDs) and multiple UAVs is established. A constrained mixed integer nonlinear program of the UAV-assisted hybrid cloud-edge system is formulated. A novel hybrid metaheuristic algorithm called Genetic Simulated annealing-based Particle Swarm Optimization (GSPSO) is presented to solve the program. Then, a task offloading and resource scheduling method is designed to intelligently minimize the total energy consumption of the hybrid system. Simulation results verify superiority of GSPSO over its three benchmark algorithms, thus demonstrating the proposed method significantly improves the energy efficiency of the UAV-enabled hybrid system. © 2023 IEEE.

关键词： computation offloading mobile edge computing particle swarm optimization simulated annealing UAVs

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Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers

Deep and Spatio-Temporal Detection for Abnormal Traffic in C...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Yuan, Haitao Wang, Shen Bi, Jing Zhang, Jia School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing University of Technology Faculty of Information Technology Beijing China Lyle School of Engineering at Southern Methodist University Dept. of Computer Science DallasTX United States

ISBN: (纸本)9798350337020

Current interactions of network traffic through cloud data centers have become an important process of network services. Precise and real-time detection and prediction of network traffic can assist system operators in effectively allocating resources, and assessing network performance based on actual service requirements, and analyzing network health. However, sources and distribution of network traffic are different, which makes accurate warnings of network attack traffic become a difficult problem. In recent years, neural networks have been proven to be effective in predicting time series data, particularly long short-term memory networks for capturing temporal features and convolutional methods for capturing spatial features. This work proposes a Deep Hybrid Spatio-Temporal (DHST) network method for abnormal traffic detection in cloud data centers, which combines a cooperative temporal convolutional network, an attention mechanism and a random inactivation method to capture the network traffic data's spatio-temporal features. It improves accuracy of abnormal traffic detection, and realizes classification of normal traffic and abnormal one. It achieves higher accuracy than typical detection methods when applied to a real-life dataset collected from Yahoo Webscope S5. © 2023 IEEE.

关键词： anomaly detection Deep learning network traffic spatio-temporal modeling temporal convolutional networks

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Implementation of Industrial automation Sustainable Training in Savannakhet University, Laos 8

Implementation of Industrial Automation Sustainable Training...

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Joint 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2023

作者： Georgieva, Tsvetelina Bencheva, Nina Daskalov, Plamen Yahoui, Hamed Khemmarath, Sitha Norasane, Khonesavanh Chanthanouvong, Lamnguen Leaunglith, Youlananh Keovorabouth, Vinai University of Ruse Angel Kanchev Automation and Mechatronics Department Ruse Bulgaria University of Ruse Angel Kanchev Telecommunications Department Ruse Bulgaria Automation &processing Claude Bernard University Lyon 1 Department of Mechanical Engineering Lyon France Savannakhet University Faculty of Engineering Savannakhet Laos Savannakhet University Faculty of Information Technology Technology Computer Network Dept. Savannakhet Laos Savannakhet University Faculty of Information Technology Savannakhet Laos

ISBN: (纸本)9798350396546

The paper presents part of the work fulfilled under the Asean Factori 4.0 Erasmus+ project focused on the implementation of industrial automation in the education in 6 universities from 3 countries in South-East Asia: Thailand, Laos and Cambodia. The implementation of the project tasks, related to increasing the capacity and more precisely to the training of the professors from the Asian Universities is presented. According to the planned activities, professors from the University of Ruse conduct training for teachers from two universities: Chulalongkorn University, Thailand and Savannakhet University, Laos. The phases of training included in the project activities and how many of them have already been implemented are briefly presented. The program and the tasks of the teachers practical training for building the necessary teaching capacity in Savannakhet University and implementation of sustainable training in the field of industrial automation were presented and analyzed. Conclusions and future training of the staff of Asian universities planned under the project are presented in the paper. © 2023 IEEE.

关键词： Personnel training

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