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SSRN 2024年

作者： Marjasz, Rafal Kempa, Wojciech M. Kovtun, Viacheslav Institute of Theoretical and Applied Informatics Polish Academy of Sciences 5 Baltycka Str. Gliwice44-100 Poland Silesian University of Technology Faculty of Applied Mathematics 23 Kaszubska Str. Gliwice44-100 Poland Vinnytsia National Technical University Faculty of Intelligent Information Technologies and Automation Department of Computer Control Systems 95 Khmelnitske Shose Str. Vinnytsia21000 Ukraine

The study investigates the departure counting process in a finite-buffer queueing system with batch arrivals and multiple vacation policy. A representation for the mixed double transform of the number of departures up to the fixed time moment is obtained in the explicit form applying analytic approach based on integral equations and linear algebra. Numerical study is attached that focuses on understanding the impact of various system parameters on the behaviour of the mean number of packets processed within a fixed time frame. Utilizing numerical experiments, the study examines the influence of vacation duration, initial buffer state, arrival intensity, and processing rate on the departure process. Results reveal significant dependencies between these parameters and the transient behaviour of the queueing system. Notably, the service speed parameter demonstrates the most substantial influence on the mean number of processed packets, followed by the arrival rate. Conversely, variations in vacation duration and initial packet count exhibit comparatively minor effects on system behaviour. Overall, the findings provide valuable insights into the dynamics of departure processes in finite-buffer queue systems with batch arrivals and multiple vacation policies, offering implications for system optimization and performance enhancement strategies. © 2024, The Authors. All rights reserved.

关键词： Integral equations

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Development of Coke Chambers Models of Delayed Coking Unit under uncertain initial information

Development of Coke Chambers Models of Delayed Coking Unit u...

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Innovative Approaches in Smart technologies (ISAS), International Symposium on

作者： Baktygul Assanova Batyr Orazbayev Zhanna Shangitova Zhadra Moldasheva Kulman Orazbayeva Dinara Kozhakhmetova Faculty of Physics Mathematics and Information Technology Kh. Dosmukhamedov Atyrau University Atyrau Kazakhstan Department of Systems Analysis and Control L.N.Gumilyov Eurasian National University Astana Kazakhstan Department of Management Esil University Astana Kazakhstan Department of Automation Information Technologies and Urban Planning University of Semey named after Shakarim Semey Kazakhstan

Problems of development of complex technological objects models, on the example of coke chambers of delayed coking unit, which are characterised by fuzzyness of some output parameters, are investigated and an approach to their solution is proposed. A method for developing models of objects with fuzzy parameters has been developed and described, which is implemented in the development of clear and fuzzy models of coke chambers. The originality of the proposed method lies in the development of effective models of objects with fuzzy parameters using available statistical and fuzzy information and the idea of a systems approach. On the basis of the developed models, the simulation of the modes of operation of coke chambers was carried out and the optimal modes of their operation were determined. The obtained results of the proposed method are compared with the results of known methods and real production data, and the advantages of the proposed approach to modelling taking into account the fuzzyness of some output parameters of the object are shown.

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automation 5.0: The Key to Systems Intelligence and Industry 5.0

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

automation has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： automation machinery intelligence

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Heat Transfer Performance of Flat Micro-Heat Pipe with Sintered Multi-Size Copper Powder Wick

SSRN

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SSRN 2022年

作者： Zhao, Zhengang Peng, Guohong Zhang, Yanhui Zhang, Dacheng Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Yunnan Kunming650500 China Yunnan Key Laboratory of Computer Technologies Application Kunming650500 China

Flat Micro-Heat Pipe (FMHP) with sintered copper powder wick is a popular device for heat flux management of highly integrated electronic circuits. To this end, a Sintered Multi-size copper powder wick (SMW) is prepared, basing a Sintered Single-size copper powder wick (SSW). The evaporator and condenser section of the SMW is a doublelayer structure with two copper powder diameters to increase the evaporation and condensation rates inside the FMHP. The adiabatic section is a single-layer structure with single powder diameter to add a capillary gradient force in the liquid channel. Six SSWs with different copper powder diameters are prepared and tested to compare with SMW. The methanol pumping experiment is carried out to evaluate the capillary pressure of different wicks, and the surface temperature experiment is carried out to evaluate the thermal transfer performance of the FMHP with different wicks, respectively. The experimental results show that the liquid transfer time of the SMW is shortened 16.59% compared to the SSW. The dynamic response time constant of the SMW FMHP is decreased by 0.9 s , and the overall thermal resistance is reduced by 14.22%. The SMW can enhance the heat transfer performance of the FMHP. © 2022, The Authors. All rights reserved.

关键词： Heat pipes

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Design and Analysis of Individually Demagnetized Power Converter for Switched Reluctance Motors

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 8439-8449页

作者： Liu, Hemiao Chen, Hao Wang, Xing Gorbounov, Yassen Wheeler, Patrick Anuchin, Alecksey Demidova, Galina Korovkin, Nikolay Liudmila, Sakhno Shenzhen Research Institute China University of Mining and Technology Shenzhen515100 China School of Electrical Engineering China University of Mining and Technology Xuzhou221116 China Xinjiang Institute of Engineering Xinjiang Urumqi830000 China International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment Xuzhou221008 China International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities Xuzhou221008 China Xuzhou Key Laboratory of New Energy Electric Vehicle Technology and Equipment Xuzhou221008 China Department of Automation Mining Production University of Mining and Geology St. Ivan Rilski Sofia1700 Bulgaria School of Electrical Engineering University of Nottingham University Park Campus Nottingham United Kingdom Moscow111250 Russia Faculty of Control Systems and Robotics Engineer Saint-Petersburg National Research University of Information Technologies Mechanics and Optics Saint Petersburg197101 Russia Institute of Energy Peter the Great Saint-Petersburg Polytechnic University Saint Petersburg195251 Russia

Switched reluctance motors (SRMs) are capable of operating at high speeds and high loads. However, the large back-EMF results in the excitation winding current being demagnetized more slowly, which in turn reduces the efficiency and output of the motor system. This study proposes a novel individually demagnetization power converter (IDPC) specifically designed for SRMs to effectively utilize the demagnetization energy through an independent demagnetization circuit. Compared with traditional converters, the IDPC can accept direct current (DC) and high-frequency alternating current (AC) inputs while achieving fast demagnetization and energy recovery. The topology and working principle of the IDPC are analyzed in detail in this paper using a three-phase 12/8 SRM as the research object. In addition, the influence of the winding demagnetization voltage on the negative torque during the demagnetization phase was studied, as well as the functional implementation and logic control strategy of the IDPC. Simulation and experimental results confirm the validity of the proposed topology and high-frequency AC drive characteristics, as well as their advantages in terms of efficiency, output capacity and dynamic performance. © 2015 IEEE.

关键词： Reluctance motors

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The System to Study Pulse Transit Time Measurement Error

The System to Study Pulse Transit Time Measurement Error

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Mediterranean Conference on Embedded Computing (MECO)

作者： Sergey G. Gurzhin Vladimir I. Zhulev Michail B. Kaplan Evgeniy M. Proshin Andrey V. Shulyakov Faculty of Automation and Information Technologies in Control Ryazan State Radio Engineering University RSREU Ryazan Russia

ISBN: (数字)9781728169491

ISBN: (纸本)9781728169507

The article considers software-hardware implementation of the system to study the errors in pulse transit time measurement methods. Flexible and powerful possibilities of software tools in the form of virtual instruments capable to set and reproduce forms and parameters of test signals as well as probabilistic characteristics of interferences are shown.

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Analysis of Metrological Test Method Accuracy

Analysis of Metrological Test Method Accuracy

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Mediterranean Conference on Embedded Computing (MECO)

作者： Aleksey M. Abramov Sergey G. Gurzhin Vladimir I. Zhulev Evgeniy M. Proshin Andrey V. Shulyakov Faculty of Automation and Information Technologies in Control Ryazan State Radio Engineering University RSREU Ryazan Russia

The article gives the analysis of errors in the method of “sliding histogram” taken place as a result of combined non-linearity of standard test signal together with non-linearity of its movement.

ISBN: (数字)9781728169491

ISBN: (纸本)9781728169507

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EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms

arXiv

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arXiv 2023年

作者： Peng, Mai Yazdani, Delaram She, Zeneng Yazdani, Danial Luo, Wenjian Li, Changhe Branke, Juergen Nguyen, Trung Thanh Gandomi, Amir H. Yang, Shengxiang Jin, Yaochu Yao, Xin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Research Institute Faculty of Engineering and Technology Liverpool John Moores University United Kingdom School of Computer Science and Technology Harbin Institute of Technology China Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies School of Computer Science and Technology Harbin Institute of Technology Peng Cheng Laboratory China School of Artificial Intelligence Anhui University of Sciences & Technology China Information Systems Management and Analytics in Warwick Business School University of Warwick United Kingdom Faculty of Engineering & Information Technology University of Technology Sydney Australia Obuda University Hungary School of Computer Science and Informatics De Montfort University United Kingdom Department of Artificial Intelligence School of Engineering Westlake University China School of Computer Science University of Birmingham United Kingdom

Many real-world optimization problems exhibit dynamic characteristics, posing significant challenges for traditional optimization techniques. Evolutionary Dynamic Optimization Algorithms (EDOAs) are designed to address these challenges effectively. However, in existing literature, the reported results for a given EDOA can vary significantly. This inconsistency often arises because the source codes for many EDOAs, which are typically complex, have not been made publicly available, leading to error-prone re-implementations. To support researchers in conducting experiments and comparing their algorithms with various EDOAs, we have developed an open-source MATLAB platform called the Evolutionary Dynamic Optimization LABoratory (EDOLAB). This platform not only facilitates research but also includes an educational module designed for instructional purposes. The education module allows users to observe: a) a 2-dimensional problem space and its morphological changes following each environmental change, b) the behaviors of individuals over time, and c) how the EDOA responds to environmental changes and tracks the moving optimum. The current version of EDOLAB features 25 EDOAs and four fully parametric benchmark generators. © 2023, CC BY-NC-SA.

关键词： Optimization algorithms

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NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods ...

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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Li, Yawei Zhang, Yulun Timofte, Radu Van Gool, Luc Yu, Lei Li, Youwei Li, Xinpeng Jiang, Ting Wu, Qi Han, Mingyan Lin, Wenjie Jiang, Chengzhi Luo, Jinting Fan, Haoqiang Liu, Shuaicheng Wang, Yucong Cai, Minjie Li, Mingxi Zhang, Yuhang Fan, Xian-Jun Sheng, Yankai Mao, Yanyu Zhang, Nihao Wang, Qian Zheng, Mingjun Sun, Long Pan, Jinshan Dong, Jiangxin Tang, Jinhui Yang, Zhongbao Wang, Yan Pan, Erlin Cai, Qixuan Dai, Xinan Zhussip, Magauiya Kalyazin, Nikolay Vyal, Dmitry Zou, Xueyi Yan, Youliang Chung, Heaseo Zhang, Jin Yu, Gaocheng Zhang, Feng Wang, Hongbin Liao, Bohao Du, Zhibo Wu, Yu-Liang Shi, Gege Peng, Long Wang, Yang Cao, Yang Zha, Zhengjun Huang, Zhi-Kai Chen, Yi-Chung Chiang, Yuan-Chun Yang, Hao-Hsiang Chen, Wei-Ting Chang, Hua-En Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Liu, Xin Pan, Jiahao Yu, Hongyuan Yu, Weichen Ge, Lin Dong, Jiahua Zou, Yajun Wu, Zhuoyuan Han, Binnan Zhang, Xiaolin Zhang, Heng Yin, Xuanwu Zuo, Kunlong Deng, Weijian Yuan, Hongjie Lu, Zengtong Ouyang, Mingyu Ma, Wenzhuo Liu, Nian Zheng, Hanyou Zhang, Yuantong Zhang, Junxi Chen, Zhenzhong Gendy, Garas Sabor, Nabil Hou, Jingchao He, Guanghui Zhu, Yurui Wang, Xi Fu, Xueyang Zha, Zheng-Jun Yin, Daheng Liu, Mengyang Chen, Baijun Li, Ao Luo, Lei Jin, Kangjun Zhu, Ce Zhang, Xiaoming Xie, Chengxing Li, Linze Meng, Haiteng Zhang, Tianlin Li, Tianrui Zhao, Xiaole Zhang, Zhao Li, Baiang Zheng, Huan Zhao, Suiyi Gao, Yangcheng Ren, Jiahuan Hu, Kang Shi, Jingpeng Wu, Zhijian Huang, Dingjiang Zhu, Jinchen Li, Hui Xv, Qianru Liu, Tianle Weng, Shizhuang Wu, Gang Jiang, Junpeng Liu, Xianming Jiang, Junjun Zhang, Mingjian Hu, Jing Wu, Chengxu Fan, Qinrui Feng, Chengming Luo, Ziwei Hu, Shu Lyu, Siwei Wu, Xi Wang, Xin Computer Vision Lab ETH Zurich Switzerland Computer Vision Lab University of Würzburg Germany Megvii Technology China MicroBT China College of Computer Science and Electronic Engineering Hunan University China Attrsense Xian University of Posts and Telecommunications Xi'an China National Engineering Laboratory for Cyber Event Warning and Control Technologies China Nanjing University of Science and Technology China Nankai University China University of Electronic Science and Technology of China China Tianjin University China Noah's Ark Lab Huawei Technologies McMaster University Canada Espresomedia Korea Republic of AntGroup China University of Science and Technology of China China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan ServiceNow United States China Mobile Research Institute China Chongqing University of Technology China Multimedia Department Xiaomi Inc. China Institute of Automation Chinese Academy of Sciences China Shenyang Institute of Automation Chinese Academy of Sciences China School of Information and Communication Engineering Communication University of China China Smart Classroom Division Ruijie Networks Co. Ltd. China School of Remote Sensing and Information Engineering Wuhan University China Micro-Nano Electronics Department Shanghai Jiao Tong University Shanghai200240 China Electrical Engineering Department Faculty of Engineering Assiut University Assiut71516 Egypt Southeast University China University of Electronic Science and Technology of China Chengdu China Chongqing University of Posts and Telecommunications Chongqing China Information Technology Co. Ltd Hangzhou China Southwest Jiaotong University China National Space Science Center Chinese Academy of Science China Hefei University of Technology Hefei China Anhui University China Fried Ric

ISBN: (纸本)9798350302493

This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution. © 2023 IEEE.

关键词： Optical resolving power

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Probability-statistical models to forecast hydraulic fracturing efficiency

Probability-statistical models to forecast hydraulic fractur...

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2020 Sustainable Energy Systems: Innovative Perspectives, SES 2020

作者： Gabdrakhmanova, Klara Fatkullinovna Izmaylova, Gulnara Rishadovna Samigullin, Eldar Faritovich Gilmanov, Rishat Sabirovich Department of Information Technologies Mathematics and Natural Sciences Ufa State Petroleum Technological University Branch of the University in the City of Oktyabrsky Oktyabrsky Russia Dept. of Oil and Gas Field Exploration and Development Ufa State Petroleum Technological University Branch of the University in the City of Oktyabrsky Oktyabrsky Russia Kazan National Research Technological University Faculty of Control and Automation Gr. 8101-21 Kazan Russia Department of Oil and Gas Field Exploration and Development Ufa State Petroleum Technological University Branch of the University in the City of Oktyabrsky Gr. MGR12-19-11 Oktyabrsky Russia

The article discusses the criteria for choosing fracture parameters by length, height and amount of proppant to be injected. The criteria, chosen on the basis of for probabilistic and statistical analysis are to ensure adequate application of multiand single-stage hydraulic fracturing technique. The statistical indicators analysis of the multistage hydraulic fracturing application on the AS12-3 horizon made it possible to clarify the ranges of main hydraulic fractures parameters in terms of their length, volume, number of fractures and the weight of the injected proppant. © The Authors, published by EDP Sciences, 2020.

关键词： Proppants

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