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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Juang, Wen-Ho Wu, Meng-Chang Sheu, Yung-Hoh Shieh, Jen-Yu Hsieh, Tung-Hsien National Formosa University Computer Science and Information Engineering Yunlin County Taiwan National Formosa University Department of Electro-Optical Engineering Yunlin County Taiwan National Formosa University Department of Automation Engineering Yunlin County Taiwan

ISBN: (纸本)9798350324174

This work presents a cost-efficient hardware architecture design of 2-D sliding discrete Fourier transform (SDFT). The proposed design requires the lowest eight real adders and six real multipliers in hardware resource, compared with Park's method reduced by 11.1% and 25%, respectively. In the FPGA implementation, the proposed hardware accelerator is operated at 47.47 MHz, and then it is very suitable for time-frequency analysis in real time. © 2023 IEEE.

关键词： Discrete Fourier transforms

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Multiple detectors-based Bayesian inference and statistics analysis for incipient fault detection

Multiple detectors-based Bayesian inference and statistics a...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Wang, Ruixue Zhao, Wenqing Cheng, Chao Zou, Xiaoyu Ji, Hongquan Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Changchun University of Technology College of Computer Science and Engineering Changchun China China University of Mining and Technology School of Mechanical and Electrical Engineering Xuzhou China

ISBN: (纸本)9798350337754

To establish a secure and dependable operational setting for practical industrial processes, it is crucial to detect incipient faults promptly and accurately. In this work, a novel data-driven process monitoring approach is presented for incipient fault detection. First, inspired by the ensemble learning algorithm, multiple Mahalanobis distance (MD) detectors are trained, and corresponding detection indices for each sample are calculated. Second, with Bayesian inference, all the obtained indices are converted to probabilities for samples being faulty. Furthermore, the statistics of probabilities are analyzed by implementing sliding time window technique, ultimately achieving incipient fault detection. Finally, the effectiveness of the proposed strategy is demonstrated by a numerical example and the continuous stirred tank reactor benchmark process. The proposed approach inherits the advantages of ensemble learning, so it has the capability to improve the stability of detection performance. Meanwhile, due to the utilization of Bayesian inference, together with the sliding time window technique, it can better differentiate normal and faulty samples and improve the sensitivity to incipient faults. © 2023 IEEE.

关键词： Fault detection

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Autoencoder and Teaching-learning-based Optimizer for Mobile Edge Computing System Optimization Problems

Autoencoder and Teaching-learning-based Optimizer for Mobile...

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

作者： Xu, Dian Zhou, Mengchu Yuan, Haitao Institute of Systems Engineering Macau University of Science and Technology Macao China New Jersey Institute of Technology Department of Electrical and Computer Engineering Newark United States School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9798350337020

By using an autoencoder as a dimension reduction tool, an Autoencoder-embedded Teaching-Learning Based Optimization (ATLBO) has been proved to be effective in solving high-dimensional computationally expensive problems through several widely used function problems. However, the following two crucial issues have not been resolved, 1) ATLBO should be verified by solving real-life optimization problems;and 2) how autoencoder parameters and structures impact AEO's performance. In this work, ATLBO is verified by an energy consumption minimization problem (ECM) in mobile edge computing systems. To design an effective autoencoder for ATLBO, this work proposes a parameter tuning optimization strategy for autoencoders. By using the proposed Autoencoder Parameter Tuning (APT) strategy, ATLBO can enjoy higher robustness than those without it. The experimental results show that it is three to six times better than state-of-the-art methods in solving ECM. We consider the strategy-induced overhead and take the execution time as the primary criterion to evaluate them. In addition, the experimental results show that, against the conventional wisdom that higher-accuracy auto encoders bring higher system performance, lower-accuracy ones can actually assist ATLBO in locating the best solutions. This work promotes a novel application of autoencoders in optimization theory and practice. © 2023 IEEE.

关键词： autoencoder Autoencoder-embedded teaching-learning based optimization (ATLBO) High-dimensional expensive problems (HEPs) Mobile edge computing systems

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Intelligent Systems for Early Malaria Disease Detection in Patient Cells Using Transfer Learning Approaches 4

Intelligent Systems for Early Malaria Disease Detection in P...

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4th International Conference on Computing, Mathematics and engineering Technologies, iCoMET 2023

作者： Zaman Khan, Gul Ali Shah, Ibrar Farhatullah Hassan, Muhammad Abul Junaid, Hazrat Sardar, Fouzia Uet Department of Computer Software Engineering Mardan Pakistan School of Automation China University of Geosciences Wuhan430074 China University of Trento Department of Information Engineering and Computer Science Italy University of Malakand Department of Computer Science and Information Technology Pakistan University F Malakand Department of Zoology Dir Lower Pakistan

ISBN: (纸本)9798350335316

Malaria is an infectious disease spread by mosquitoes that effect humans and other animals. It is a massive threat to humanity, with instances growing each year. It is essential to prevent and diagnose malaria immediately and efficiently. For the time being, conventional methods are used for diagnosing malaria in which the patient's blood sample is examined by microscope or by using malaria RTD kits. This approach has several limitations because it requires medical expertise, is expensive, takes a long time, and the results are unsatisfactory. Artificial intelligence-based systems can prevent and help in diagnose of this infectious disease. Because of these limitations, the proposed work has proposed an AI-based diagnosis system that can detect malaria parasites immediately and efficiently. In the proposed experiment, we have applied four different pre-trained deep learning models on the image dataset with some preprocessing and optimization techniques for malaria parasite detection. After investigations, evaluation matrices such as precision, Recall, F1-score, sensitivity, and specificity are used to measure the performance of the proposed models. The Inception-Resnet outperformed by achieving 95% accuracy, VGG16 achieved 92% accuracy, inception achieved 93% accuracy, and VGG19 achieved 91% accuracy. The positive outcomes of this study show that this approach performs much better than the approaches currently used. Furthermore, the proposed method is relevant to health experts for screening purposes. © 2023 IEEE.

关键词： Diseases

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A Multi-Drone Joint Map Building Method Based On Multi-variable Layer Directed Cross Genetic Algorithm 41

A Multi-Drone Joint Map Building Method Based On Multi-varia...

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第41届中国控制会议

作者： Quansheng Sun Yinfeng Zhao HaiBo Du Bo Yu Miaomiao Gao Xiaozheng Jin School of Electrical Engineering and Automation Hefei University of Technology School of Computer Science and Technology Qilu University of Technology(Shandong Academy of Sciences)

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Using multiple collaborative UAVs has more advantages in time-critical search and rescue(SaR) missions because they are able to explore the environment quickly and provide higher redundancy than using a single *** key to multiUAVs Simultaneous Localization and Mapping(SLAM) is to achieve multi-UAVs *** this paper,we proposed a multi-UAV s map-merging method based on a multivariate layer directed cross genetic algorithm,and uses this method to realize the real-time map fusion of two UAVs based on 3 D *** method transforms the grid map mosaic problem into an image matching problem,constructs the corresponding mathematical model,establishes the objective function,and designs an improved genetic algorithm to solve the optimization problem of the objective *** the experiments,the UAVs maintain a fixed altitude during flight,record multiple segments of LiDAR data,and the experiments use simultaneous playback of the data to simulate the collaborative mapping of dual *** experimental results show that the method can reliably achieve real-time map stitching with good robustness and fast stitching speed.

关键词： UAVs map-merging genetic algorithm SLAM image fusion

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Pareto Analysis of PI Tuning in Direct Digital Control of Multi-phase Drives ⁎

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IFAC-PapersOnLine 2024年第7期58卷 144-149页

作者： Manuel G. Satué J.D. Álvarez Manuel A. Perales Systems Engineering and Automation Department University of Seville 41092 Seville Spain Department of Computer Engineering Automation and Robotics CIESOL—ceiA3 University of Almería 04120 Almería Spain Electronic Engineering Department University of Seville 41092 Seville Spain

PI tuning for variable-speed multi-phase drives is a complex task. In this paper, a Pareto analysis is introduced to reveal not previously reported links between figures of merit. The drive used for the study includes a 5-phase induction motor supplied by a voltage source inverter. A finite state predictive method is used for the inner loop (current control). The outer loop (speed control) is governed by a PI. The analysis is done experimentally thus including all sorts of non-idealities not appearing in commonly found models. The experimental results show how the pursuit for better performance is hindered by the existence of links between figures of merit. The importance of the result lies in showing that arbitrary performance enhancements are not possible in a general case.

关键词： Application of power electronics Digital implementation Modeling simulation of power systems PI control Tuning

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A Study to Compare YOLO Family Models for Metal Surface Anomaly Detection

A Study to Compare YOLO Family Models for Metal Surface Anom...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Koc, Abdusselam Albayrak, Ozlem Kurt, Yasar Unal, Perin Ted University Faculty of Computer Engineering Ankara Turkey Research and Development Teknopar Industrial Automation Ostim Technical University Graduation School of Engineering and Sciences Ankara Turkey Ostim Technical University Graduation School of Engineering and Sciences Turkey

ISBN: (纸本)9798350324457

Anomaly detection is an important process that needs to be automated. Metal is an essential material that is heavily used in manufacturing of many different products. Automated detection of anomalies on metal surfaces is a topic that has been widely studied both by the researchers in the academia and by the practitioners. In the recent years, many studies have been conducted that apply deep learning for anomaly detection on metal surfaces. In this study, using NEU-DET data set, we have applied YOLO family models (YOLOv4, YOLOv5, YOLOv6, YOLOv7 and YOLOv8) in order to classify defects of images of steel. The results presented that with respect to mAP50 YOLOv8 has outperformed the other models. In the short term, we aim to utilize real images taken from home appliances products and perform a replication study. As for the long-term research we aim to develop and test our model based on real data set belonging to a Horizon Europe project. YOLOv8 has presented the best performance. © 2023 IEEE.

关键词： Anomaly Detection computer Vision Deep Learning

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A power allocation strategy to maximize CR-NOMA throughput 7

A power allocation strategy to maximize CR-NOMA throughput

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7th IEEE Information Technology and Mechatronics engineering Conference, ITOEC 2023

作者： Ma, Xiaolin Peng, Yi Yang, Qingqing Kunming University of Science and Technology College of Information Engineering and Automation Kunming China Kunming University of Science and Technology Yunnan Key Laboratory of Computer Science Kunming China

ISBN: (纸本)9798350334197

Aiming at the problem that the total throughput of secondary users is not maximized, considering the fairness between secondary users and the interference of primary users to secondary users, a power allocation strategy to maximize the throughput of CR-NOMA is proposed. Firstly, the elementary matrix is established according to the equivalent channel gain, and the secondary user is selected and multiplexed to the primary user sub-channel. Then, for the selected secondary users, the minimum transmission rate is dynamically adjusted based on fairness, and the optimal power scaling factor under the maximization of the total throughput of the secondary users is calculated. Finally, power distribution is performed. The simulation results show that the proposed algorithm can effectively reduce the complexity of the algorithm and maximize the total throughput of the secondary users compared with the HPPA and CR-OMA algorithms. © 2023 IEEE.

关键词： Cognitive radio

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Proposing Bus Adapter Connections in IEC 61499

Proposing Bus Adapter Connections in IEC 61499

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Annual Conference of Industrial Electronics Society

作者： Pranay Jhunjhunwala Valeriy Vyatkin Department of Electrical Engineering and Automation Aalto University Espoo Finland Department of Computer Science Computer and Space Engineering Lulea Tekniska Universitet Sweden

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

This paper proposes an extension to IEC 61499 architecture to better support flexibility and reconfigurability of automation systems while reducing communication overhead. The extension concerns adapter connections between function blocks. It aims at improving the performance of popular "one-line engineering" design pattern. The current adapter connections are supporting one-to-one links between function blocks, through which a bi-direction flow of events and data takes place. The proposed extension, called bus, allows many-to-many connections, i.e., several function blocks can be connected to several function blocks sending and receiving events and data simultaneously. Before implementing the extension by means of compiler and editor, it was prototyped using an existing means of IEC 61499, as a composite function block with several inputs - adapter sockets and outputs - adapter plugs. The prototyping shows feasibility of the proposed extension.

关键词： Industrial electronics automation Sockets Bidirectional control IEC Standards Plugs

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In-Memory Fault-Free Vector Simulation

In-Memory Fault-Free Vector Simulation

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2023 IEEE East-West Design and Test Symposium, EWDTS 2023

作者： Devadze, David Chumachenko, Svetlana Hahanov, Ivan Davitadze, Zaza Litvinova, Eugenia Shevchenko, Olga Hahanov, Vladimir Hahanova, Anna Hacimahmud, Abdullayev Vugar Batumi Shota Rustaveli State University Department of Computer Sciences Batumi Georgia Kharkov National University of Radioelectronics Design Automation Department Kharkov Ukraine Kharkiv National University of Radio Electronics Design Automation Department Kharkiv Ukraine Azerbaijan State Oil and Industry University Computer Engineering Department Baku Azerbaijan

ISBN: (纸本)9798350314847

A technology for modeling and in-memory simulation of digital devices based on smart data structures is proposed. The fault-free method for modeling and simulation of digital devices based on vector logic, located in memory based on read-write transactions, is considered. In-memory fault-free simulation on smart data structure is focused on implementation in-memory of SoC, FPGA, RISC-V VLSI. The proposed method of in-memory simulation of logic circuits does not require synthesis and implementation in the standard base of elements. Moreover, the performance of the method depends on the size of the elements, the more inputs, the higher the parallelism of processing the input test sets as addresses. Based on good behavior simulation, a system for stuck-at-fault simulation of logical functionality, as well as logical circuits, is built. The software application is focused on teaching university students the methods of verification and testing of digital products. A convenient visual interface of the application can serve student projects that include dozens of logical elements of any complexity. © 2023 IEEE.

关键词： Data structures

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