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A Survey: FPGA-Based dynamic Scheduling of Hardware Tasks

Chinese Journal of Electronics 2021年第6期30卷 991-1007页

作者： LI Tianyang ZHANG Fan GUO Wei SUN Mingqian CHEN Li PLA Strategic Support Force Information Engineering University National Digital Switching System Engineering and Technological R&D Center Southeast University

To meet the increasing computing needs of various application fields, Field programmable gate array(FPGA) has been widely deployed. In FPGA-based processing, hardware tasks can be better accelerated by allocating appropriate computing resources. Therefore,FPGA-based hardware task scheduling has become one of the mainstream research directions in academia and industry. However, the optimization objectives of existing FPGA-based hardware task scheduling methods are relatively scattered. In this regard, this paper summarizes the research status of hardware task dynamic scheduling from the three essential elements of FPGA processing: time, resources, and power *** paper analyzes, sorts out, categorizes the ideas and implementations of various scheduling methods and analyzes and evaluates optimization effects of various scheduling methods from multiple dimensions. Then, the shortcomings of the existing methods are summarized and some practical applications are introduced. Finally, the research direction of task scheduling based on FPGA is prospected and summarized.

关键词： optimisation Field programmable gate array FPGA-based dynamic scheduling mainstream research directions appropriate computing resources dynamic scheduling optimization objectives hardware task dynamic scheduling power consumption field programmable gate arrays

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research on Smart Photovoltaic Power Station Control system Based on dCS Architecture

Research on Smart Photovoltaic Power Station Control System ...

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2024 International Conference on Computer Communication, Networks and Information Science, CCNIS 2024

作者： Zhan, Lei Chn Energy Zhishen Control Technology Co. Ltd. Beijing Engineering Research Center of Power Station Automation State R&D Center of Control System and Information Security Technologies for Energy Industry Beijing102211 China

ISBN: (纸本)9798331507046

Aiming at the operation and maintenance management and control issues of large-scale photovoltaic power stations, a smart photovoltaic power station control system based on dCS architecture was studied. In terms of system architecture design, the design idea based on the 'cloud-edge-end' architecture is adopted, and some core equipment and data storage devices in the site are placed in the cloud to achieve centralized management and storage of data. At the same time, some computationally intensive tasks are processed in the cloud to reduce the computing pressure on edge devices. Applying this system to the control of photovoltaic power plants can achieve precise control of operation and maintenance data, and enable the identification and accurate processing of different faults. Comparing the fault identification algorithm used in this system with other algorithms, the results prove that the fault identification accuracy of this algorithm can reach 100℅, creating a large amount of economic benefits for the stable operation of photovoltaic power plants. © 2024 IEEE.

关键词： Ferroelectric rAM

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Cavitation detection Method for Pumps Based on Motor Current Signature Analysis

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IEEJ Transactions on Industry Applications 2025年第1期145卷 46-52页

作者： Kamino, Yasuhiro Kanemaru, Makoto Shinozuka, ryotaro Iwawaki, Tomoyuki Hirakida, Ken Irikiin, Koji Miyauchi, Toshihiko Advanced Technology R&D Center Mitsubishi Electric Corp. 8-1-1 Tsukaguchi-Honmachi Hyogo Amagasaki661-8661 Japan Kobe Center Mitsubishi Electric Corp. 1-1-2 Wadasakicho Hyogo-ku Hyogo Kobe652-0854 Japan Power Distribution System Center Mitsubishi Electric Corp. 8 Horai-cho Kagawa Marugame763-8516 Japan

Simple and cost-effective methods for cavitation detection are required for the stable operation of pump systems. Previous researches on cavitation detection systems have used microphones or vibration sensors, however they are costly and difficult to install. recently, motor current signature analysis (MCSA) has been gaining attention with regard to motor fault detection. In this paper, we review the characteristics of motor current signals in a cavitation state and propose an MCSA technique for pump cavitation detection. We observed that the foot around the fundamental harmonic spectrum in the power spectral density (PSd) of current signals increased in a cavitation state. Based on these results, we propose defining an evaluation value that reflects the foot and using it for cavitation detection. © 2025 The Institute of Electrical Engineers of Japan.

关键词： Cavitation

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Automated Optical Inspection for Quality Control in PCBA assembly lines: a case study for Point of Sale devices Production Lines 6

Automated Optical Inspection for Quality Control in PCBA ass...

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6th International Congress on Human-Computer Interaction, Optimization and robotic Applications, HOrA 2024

作者： Aras, Kerem Saif, Syed Saad Giuseppi, Alessandro Coskun, Vedat R&D Center Token Financial Technologies Istanbul Turkey Dept. of Computer Control and Management of Rome La Sapienza Rome Italy Dept. of Software Engineering Istanbul Atlas University Istanbul Turkey

ISBN: (纸本)9798350394634

This paper reports on the design and development of a customized Automated Optical Inspection (AOI) solution aimed at detecting defects in a production line related to the correct mounting of integrated circuits. Contrary to most solutions avail- able on the market, the developed system relies on deep learning to be able to perform detailed real-time visual inspections of components without the need to compare the captured photos with any reference images/golden sample. The proposed solution was designed to also provide good generalization capabilities, accommodating visual changes in the environment and in the structure of the component being produced. A custom testing machine was built in order to perform real-time inferences and validate the simulation results in a real-world setting. © 2024 IEEE.

关键词： Assembly

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An Optimization Method for Short-Term Power Load Forecasting Based on IPSO-SVM 6

An Optimization Method for Short-Term Power Load Forecasting...

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6th International Conference on Energy systems and Electrical Power, ICESEP 2024

作者： Shi, Yaguang Wang, Shaopeng Huang, Haoran Yang, Yingchun Zhang, Lijun China Electrical Equipment Xuji Electric Zhengzhou R&d Zhengzhou China China Electrical Equipment Xuji Electrical Software Company Xuchang China China Mobile Online Marketing Service Center Zhengzhou China

ISBN: (纸本)9798350353563

To improve the accuracy of short-term power load forecasting, this paper presents an optimization method for short-term power load forecasting, which is based on Improved Particle Swarm Optimization algorithm and Support Vector Machine(IPSO-SVM) combined forecasting model to forecast power load, and constructs a complete short-term power load forecasting model. Compared with traditional PSO-SVM, the optimized IPSO-SVM prediction model has higher prediction accuracy, which has important practical reference value in the research of power load prediction, and provides a new method path for the field of power load forecasting. © 2024 IEEE.

关键词： Prediction models

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Application of Hyperledger Blockchain Technology to Logistics Supply Chain with IoT 4

Application of Hyperledger Blockchain Technology to Logistic...

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4th International Conference on Evolutionary Computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Sayar, Ahmet Kurtbas, Muhammet Cuneyd Sancaktar, Caglayan Kabak, rana dudu Cakmak, Sukru Department of Computer Engineering Kocaeli University Kabaoglu Baki Komsuoglu Avenue No:515 Umuttepe Kocaeli İzmit41010 Turkey Atez Software Technologies R&D Center Skyland B Blok No: 4B İstanbul Turkey

Product movement tracking stands as a pivotal aspect of logistics operations. The ever-expanding application of IoT technologies holds significant potential to enhance product tracking in logistics. However, the rapid expansion of IoT usage has also introduced several challenges, particularly concerning data privacy, security, and transparency. Blockchain technology, through distributed ledger systems, offers a secure and transparent means to manage transactions within a network. In this study, the Hyperledger Fabric blockchain network, chosen for its private and permissioned nature, leverages authentication features to ensure the confidentiality, integrity, and security of data from IoT devices. By integrating the widely adopted MQTT protocol, IoT devices involved in logistics processes communicate effectively with the blockchain network. This study presents a system where IoT devices enable the secure and automated tracking of data through blockchain's registration and distribution mechanisms, all of which are demonstrated within a simulation environment. developed specifically for the logistics sector, this system holds promising potential to address challenges across various fields. © 2025 The Authors. Published by Elsevier B.V.

关键词： distributed ledger

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research and Application of Simplified Service Bus in New Generation dispatching Technical Support system and Heterogeneous system 6

Research and Application of Simplified Service Bus in New Ge...

引用

6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Qiang, Yi Shupeng, Wan Zhemin, Wang Weihua, He Ping, Zhang Feng, Zhang NARI Technology Co. Ltd System R&D Center Nanjing China State Grid Shanxi Electric Power Co. Ltd Taiyuan China State Key Laboratory of Smart Grid Protection and Control System R&D Center Nanjing China

ISBN: (纸本)9798350347159

With the rapid development of UHV AC / dC hybrid power grid, in order to cope with the large-scale access of new energy, the power market reform has been continuously promoted. Therefore, it is proposed to build a new generation of dispatching technical support system to meet the needs of future power system development and safe, stable and high-quality operation. This paper proposes a simplified service bus that supports a new generation of service-oriented architecture, and meets the deployment characteristics of cloud terminals that are cross platform, lightweight, easy to deploy, open and efficient. The simplified service bus can well meet the location independent characteristics and be easily deployed in and out of the system. The flexible protocol processing mode cooperating with the gateway can meet the needs of accessing the services of the system and external systems. At the same time, it supports multiple man-machine network and automatic switching of service network shutdown under N-1 mode, which greatly improves the availability and stability of the system, Which Provide a strong guarantee for the safe, stable and efficient operation of the new generation system. © 2022 IEEE.

关键词： Gateways (computer networks)

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Enhancing mineral processing with deep learning: Automated quartz identification using thin section images

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International Journal of Minerals,Metallurgy and Materials 2025年第4期32卷 802-816页

作者： Gökhan Külekçi Kemal Hacıefendioğlu Hasan Basri Başağa Mining Engineering Department Faculty of Engineering and Natural SciencesGümüşhane UniversityGümüşhaneTürkiye Department of Civil Engineering Faculty of EngineeringKaradeniz Technical UniversityTrabzonTürkiye Earthquake and Structural Health Application and Research Center Karadeniz Technical UniversityTrabzonTürkiye Civil Engineering Academy R&D Software Consulting Limited Company SamsunTürkiye

The precise identification of quartz minerals is crucial in mineralogy and geology due to their widespread occurrence and industrial *** methods of quartz identification in thin sections are labor-intensive and require significant expertise,often complicated by the coexistence of other *** study presents a novel approach leveraging deep learning techniques combined with hyperspectral imaging to automate the identification process of quartz *** utilizied four advanced deep learning models—PSPNet,U-Net,FPN,and LinkNet—has significant advancements in efficiency and *** these models,PSPNet exhibited superior performance,achieving the highest intersection over union(IoU)scores and demonstrating exceptional reliability in segmenting quartz minerals,even in complex *** study involved a comprehensive dataset of 120 thin sections,encompassing 2470 hyperspectral images prepared from 20 rock ***-reviewed masks were used for model training,ensuring robust segmentation *** automated approach not only expedites the recognition process but also enhances reliability,providing a valuable tool for geologists and advancing the field of mineralogical analysis.

关键词： quartz mineral identification deep learning hyperspectral imaging deep learning in geology

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Social Media Multi-Emotion detection 2

Social Media Multi-Emotion Detection

引用

2nd International Conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Ibrahiem, Soha S. El-Sayed Mohammed, Bahy Ibrahim El Sayed Ahmed, Mohammed Ahmed Elbahnasy, Khaled Menofia University Computality R&D System Analyst & Nlp Researcher Faculty of Science Menofia Egypt Web Developer Cairo Egypt Software Engineer Ekad Soft Cairo Egypt Jeddah International College Computer Science and Information Technology Department Jeddah Saudi Arabia

ISBN: (纸本)9798331506995

Natural language in social media is often ambiguous, carrying diverse perspectives that are critical for opinion analysis. With vast amounts of unstructured data, particularly on platforms like Twitter, it is impractical to manually analyse relevant insights. This rapid data growth has highlighted the need for intelligent filtering and mining techniques in decision support systems to help organizations build brand reputation, foster online communities, and enhance profitability. Multi-Emotion detection is key for capturing implicit user opinions and specific emotional states;however, challenges such as text bipolarity, limited representative feature vectors, and inadequate annotated lexicons often hinder accuracy. This research aims to improve multi-emotion detection accuracy by extracting emotion implied tokens and converting them into feature vectors that capture semantic relevance. Using annotated lexicons, word embeddings, unigrams, and term frequency, these vectors are trained across five machine learning models, which are Naïve Bayes (NB), Logistic regression (Lr), Support Vector Machine (SVM), K- nearest neighbor (KNN), and Multi- layer Percepton (MLP). Finally, two ensemble techniques are applied to refine model outputs, achieving an improvement accuracy over previous work worked. The proposed system, evaluated on a real dataset, achieves a hamming score of 0.55 and an average F1 score of 0.68, demonstrating its potential for effective multi-label emotion detection. © 2025 IEEE.

关键词： Tweets

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A Convenient Analytical Model for Predicting direct-on-Line Synchronous reluctance Motor Operations at different Environments

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IEEE Transactions on Industry Applications 2023年第2期60卷 2756-2763页

作者： Liu, Cheng-Tsung Su, Ying-Jie Yen, Sheng-Chan Yang, Kuan Shih, Pei-Chun Hsu, Yu-Wei Lin, Sheng-Yang The Department of Electrical Engineering National Sun Yat-Sen University Kaohsiung80424 Taiwan The Research and Development Center Nidec Taiwan Corporation Tainan70955 Taiwan The Green Energy and System Integration R&D Department China Steel Corporation Kaohsiung81233 Taiwan

To meet the driven objectives in the metals industry with relatively severe operational environments, the induction motor is generally adopted due to its rigid structure. However, for energy conservation and environmental concerns, some globally enforced regulations have complicated the design and increased the cost of developing high-efficiency induction motors. Because the direct-on-line synchronous reluctance motor (dOL_SynrM) has a comparably robust structure with almost no rotor copper loss, it has become a potential alternative for accomplishing the desired high-efficiency operational objectives. For investigating the line-start capabilities and operational impacts of different dOL_SynrM designs for specific equipment with reasonably good performance predictions, a convenient analytical model is proposed. Supported by the results from both finite-element analyses and experimental measurements, the suitability of the proposed model can thus be confirmed. © 2023 IEEE.

关键词： Equivalent circuits

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