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6th International Conference on Electrical, control and Instrumentation engineering, ICECIE 2024

作者： Oya, Hidetoshi Asada, Daiki Nagai, Shunya Nakano, Kazushi Tokyo City University Department of Computer Science Tokyo Japan Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan Niihama College Department of Electronics and Control Engineering Ehime Japan Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

ISBN: (纸本)9798350380040

In this paper, we present a new LMI-based non-iterative design strategy for static output feedback controllers with L2 Gain Performance for linear systems. In our approach, on the basis of the well-known necessary and sufficient condition for the existence of the static output feedback control for linear systems, the non-iterative LMI-based design procedure for the proposed static output feedback controller is derived. In this paper, we show the LMI-based non-iterative design procedure for static output feedback controllers with L2 Gain Performance and the effectiveness of the proposed static output feedback control is presented through a simple illustrative example. © 2024 IEEE.

关键词： Feedback control

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Improving Motor Imagery Classification in BCI Systems Using EMD and Multi-Layer CNNs 14

Improving Motor Imagery Classification in BCI Systems Using ...

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14th International Conference on computer and Knowledge engineering, ICCKE 2024

作者： Arghand, Reza Chaibakhsh, Ali Radman, Moein University of Guilan Intelligent Systems and Advanced Control Lab Faculty of Mechanical Engineering Rasht Guilan41996-13776 Iran University of Essex Brain-Computer Interfacing and Neural Engineering Laboratory School of Computer Science and Electronic Engineering ColchesterCO4 3SQ United Kingdom

ISBN: (纸本)9798331511272

Brain-computer Interface (BCI) systems are relatively new technologies that could play a significant role in aiding the recovery of impaired activities resulting from neuromuscular disabilities in affected individuals. Accurate recognition and classification of motor imagery in BCI systems present a challenge, leading to extensive research in recent years aimed at improving the accuracy of these systems. In this study, a combination of the Empirical Mode Decomposition (EMD) method and a multi-layer Convolutional Neural Network (CNN) is employed. Initially, the signal is decomposed into Intrinsic Mode Functions (IMFs) using EMD, and all IMFs across all trials are analyzed to select the best ones, which are then fed into the CNN as inputs. Additionally, the study incorporates the fusion of three CNN networks, each corresponding to a different IMF. The features extracted from these networks are combined and used to train an SVM classifier. The proposed method achieved an accuracy of 86.1% on the BCI-2a 2008 dataset, outperforming other state-of-the-art approaches. ©2024 IEEE.

关键词： Brain computer interface

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Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization

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Big Data Mining and Analytics 2024年第1期7卷 55-74页

作者： Guosheng Cui Ye Li Jianzhong Li Jianping Fan Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology Shenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China School of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Nonnegative Matrix Factorization(NMF)is one of the most popular feature learning technologies in the field of machine learning and pattern *** has been widely used and studied in the multi-view clustering tasks because of its *** study proposes a general semi-supervised multi-view nonnegative matrix factorization *** algorithm incorporates discriminative and geometric information on data to learn a better-fused representation,and adopts a feature normalizing strategy to align the different *** specific implementations of this algorithm are developed to validate the effectiveness of the proposed framework:Graph regularization based Discriminatively Constrained Multi-View Nonnegative Matrix Factorization(GDCMVNMF)and Extended Multi-View Constrained Nonnegative Matrix Factorization(ExMVCNMF).The intrinsic connection between these two specific implementations is discussed,and the optimization based on multiply update rules is *** on six datasets show that the effectiveness of GDCMVNMF and ExMVCNMF outperforms several representative unsupervised and semi-supervised multi-view NMF approaches.

关键词： multi-view semi-supervised clustering discriminative information geometric information feature normalizing strategy

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On Combining Collective Entity Resolution and Repairing (Extended Abstract) 1

On Combining Collective Entity Resolution and Repairing (Ext...

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1st Workshop on AI-Driven Heterogeneous Data Management: Completing, Merging, Handling Inconsistencies and Query-Answering, ENIGMA 2023

作者： Bienvenu, Meghyn Cima, Gianluca Gutiérrez-Basulto, Víctor Univ. Bordeaux CNRS Bordeaux INP LaBRI UMR 5800 Department of Computer Control and Management Engineering Sapienza University of Rome School of Computer Science and Informatics Cardiff University

This work summarizes the salient aspects of our recent work [1], about combining collective entity resolution and repairing. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons Li... 详细信息

关键词： Repair

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Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective 4th

Adversarial Attack and Defense on Natural Language Processin...

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4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Dong, Huoyuan Dong, Jialiang Yuan, Shuai Guan, Zhitao School of Control and Computer Engineering North China Electric Power University Beijing102206 China Brock University St. CatharinesON Canada

ISBN: (纸本)9783031200953

Natural language processing (NLP) presently has become a new paradigm and enables a variety of applications such as text classification, information retrieval, and natural language generation by leveraging deep learning techniques. However, recent studies have shown that the NLP models based on deep neural network are susceptible to maliciously designed adversarial examples. Therefore, the main challenges lie in improving the robustness and ensuring the security of the system. In this paper, we first introduce common NLP tasks and quality measures on adversarial example. Next, we present a comprehensive review on literature in terms of both adversarial attack and defense methods, based upon the granularity and type. Our work is also the first of its kind to provide a brief overview of the adversarial examples on Chinese texts as a result of the language difference. Finally, we summarize this study by providing directions for future research. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Deep neural networks

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LCD Graphic Element Location Method Combining NL-means and Local Threshold Segmentation 3

LCD Graphic Element Location Method Combining NL-means and L...

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3rd International Symposium on computer Technology and Information Science, ISCTIS 2023

作者： Wang, Xiaohui Tan, Jianxiong Shenke Technology Group Co. Shijiazhuang China School of Control and Computer Engineering North China Electric Power University Baoding China

ISBN: (纸本)9798350325386

Accurate positioning of screen primitives is crucial in the machine vision-based automatic detection of intelligent water meter LCD screens. Detecting edge details of the LCD screen using the A component of the LAB color space improves the accuracy of LCD screen area positioning. This approach reduces background interference from Gaussian noise, non-uniform lighting, specular reflection, and local highlights. This study proposes a technique that combines NL-means and Sauvola local threshold segmentation methods to locate LCD screen areas and graphics elements. The experimental results indicate that this technique satisfies the defect detection criteria for smart water meter LCD screens set by the enterprise. The LCD screen detection tool extracted a smart water meter LCD screen image with 98.4% accuracy in LCD screen element positioning. Compared to the median filter method, this represents a significant improvement, and the combination with the maximum between-class variance method further increases accuracy by 2.7%. © 2023 IEEE.

关键词： Liquid crystal displays

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Bimodal Fusion Network for Basic Taste Sensation Recognition from Electroencephalography and Electromyography 48

Bimodal Fusion Network for Basic Taste Sensation Recognition...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Gao, Han Zhao, Shuo Li, Huiyan Liu, Li Wang, You Hu, Ruifen Zhang, Jin Li, Guang Zhejiang University State Key Laboratory of Industrial Control Technology China Changsha University of Science and Technology School of Computer and Communication Engineering China

ISBN: (纸本)9781728163277

Taste sensation can be objectively measured using electroencephalography (EEG) or electromyography (EMG). How-ever, it is still challenging to effectively utilize the complementary information from EEG and EMG signals in taste sensation recognition. This paper proposes a bimodal fusion network (Bi-FusionNet) for recognizing basic taste sensations (sour, sweet, bitter, salty, umami, and blank). Two convolutional backbones with similar structures are designed to separately extract the single-modal features of EEG and EMG. Then, EEG and EMG features are concatenated for bimodal interaction and complementarity. Finally, three loss functions are adopted: a center loss for aggregating intra-class samples, a mean squared error loss for sequence positions for minimizing the difference between signals during the stimulation, and a softmax loss for minimizing the entropy of prediction and true labels. The results on the taste sensation dataset show that bimodal fusion improves recognition performance, and Bi-FusionNet outperforms single-modal methods and other fusion methods. Bi-FusionNet paves the way for the application of multimodal fusion in taste sensation recognition. © 2023 IEEE.

关键词： Electroencephalography Electromyography Feature Fusion Taste Sensation Recognition

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Adaptive particle swarm optimization model for resource leveling

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Evolving Systems 2023年第4期14卷 593-604页

作者： Lin, Jerry Chun-Wei Lv, Qing Yu, Dehu Srivastava, Gautam Chen, Chun-Hao School of Information and Control Engineering Qingdao University of Technology Qingdao China Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen Norway School of Civil Engineering Qingdao University of Technology Qingdao China School of Civil Engineering Shandong Jianzhu University Jinan China Department of Math and Computer Science Brandon University Brandon Canada Research Centre for Interneural Computing China Medical University Taichung Taiwan Department of Information and Finance Management National Taipei University of Technology Taipei Taiwan

In the process of engineering project construction, the balanced allocation of resources has an important impact on the purchase of actual materials, the progress of the site construction and the arrangement of temporary facilities. Although there have been many studies on the use of evolutionary computation (EC) to solve the fixed duration of the resource-leveling problem, the optimization effect of standard EC to solve the resource-balancing problem in large-scale network design planning is reduced due to the phenomenon of premature convergence of PSO and the complexity of large-scale network planning. Therefore, in this paper, an adaptive dissipative particle swarm optimization (ADPSO) algorithm is used to solve the resource balancing optimization problem for different network-plans scales, and the feasibility of the developed model is verified using four different scaled network plans (databases). At the same time, a solution to the dynamic resource-leveling problem with optimization for a fixed duration is proposed. The results show that the proposed models are suitable for solving the problem of resource-leveling with a fixed duration of optimization of different scale network plans, and their accuracy and stability are significantly improved compared to the state-of-the-art approaches. Moreover, the proposed models are accurate and suitable for combining the calculation method of network planning time parameters with the ADPSO algorithm to realize dynamic resource balancing optimization. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Particle swarm optimization (PSO)

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On the chronological understanding of the homogeneous dielectric barrier discharge

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High Voltage 2023年第6期8卷 1132-1150页

作者： Xinpei Lu Zhi Fang Dong Dai Tao Shao Feng Liu Cheng Zhang Dawei Liu Lanlan Nie Chunqi Jiang State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhanChina College of Electrical Engineering and Control Science Nanjing Tech TechnologyNanjingChina School of Electric Power South China University of TechnologyGuangzhouChina Institute of Electrical Engineering Chinese Academy of SciencesBeijingChina Frank Reidy Research Center for Bioelectrics Old Dominion UniversityNorfolkVirginiaUSA Department of Electrical and Computer Engineering Old Dominion UniversityNorfolkVirginiaUSA

Dielectric barrier discharges(DBD)are widely utilised non‐equilibrium atmospheric pressure plasmas with a diverse range of applications,such as material processing,surface treatment,light sources,pollution control,and *** the course of several decades,extensive research has been dedicated to the generation of homogeneous DBD(H‐DBD),focussing on understanding the transition from H‐DBD to filamentary DBD and exploring strategies to create and sustain H‐*** paper first discusses the in-fluence of various parameters on DBD,including gas flow,dielectric material,surface conductivity,and mesh ***,a chronological literature review is presented,highlighting the development of H‐DBD and the associated understanding of its un-derlying *** encompasses the generation of H‐DBD in helium,nitrogen,and ***,the paper provides a brief overview of multiple‐current‐pulse(MCP)behaviours in H‐*** objective of this article is to provide a chronological un-derstanding of homogeneous dielectric barrier discharge(DBD).This understanding will aid in the design of new experiments aimed at better comprehending the mechanisms behind H‐DBD generation and ultimately assist in achieving large‐volume H‐DBD in an air environment.

关键词： dielectric barrier pollution

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Network construction of small and medium-sized enterprises based on virtual cloud WEB in the information age

Network construction of small and medium-sized enterprises b...

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2022 International Conference on Cloud Computing, Big Data and Internet of Things, 3CBIT 2022

作者： Liu, Zhibin Peng, Bo Cai, Mingming Qiqihar University School of Computer and Control Engineering Qiqihar China Qiqihar Institute of Engineering Department of Information Engineering Qiqihar China Henan University of Economics and Law School of Computer and Information Engineering Zhengzhou China

ISBN: (纸本)9781665492256

With the continuous development of the Internet and the promotion of the epidemic, the construction of enterprise networking is becoming more and more important. Website construction has become an essential part of enterprise development. However, small and medium-sized enterprises are facing economic and human pressures. Enterprise website, online office, online mall VPN, forums and other services for the development of the company is particularly important. Through the investigation and analysis of 20 small and medium-sized enterprises, domestic and foreign academic papers and online data, this paper introduces the importance of cloud on enterprise network, constructs the virtual cloud construction system based on CMS, and provides solutions from the aspects of capital cost, hardware procurement, software environment, system development, later operation and maintenance and labor cost, so as to realize simple, rapid, efficient, safe and low-cost deployment. At the same time, it meets the development of enterprise science and technology, perfects and summarizes the architecture model, realizes the demand of network construction of small and medium-sized enterprises efficiently and quickly, and encourages the development of entrepreneurs and small and medium-sized enterprises. © 2022 IEEE.

关键词： Websites

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