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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1136 条记录，以下是951-960 订阅

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T3SFNet: A Tuned Topological Temporal-Spatial Fusion Network for Motor Imagery with Rehabilitation Exoskeleton 7th

T3SFNet: A Tuned Topological Temporal-Spatial Fusion Network...

引用

7th international conference on Cognitive Systems and Information Processing, ICCSIP 2022

作者： Shi, Kecheng Mu, Fengjun Zou, Chaobin Qin, Yizhe Peng, Zhinan Huang, Rui Cheng, Hong Center for Robotics School of Automation Engineering University of Electronic Science and Technology of China Chengdu China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9789819906161

In recent years, motor imagery-based brain computer interfaces (MI-BCI) combined with exoskeleton robot has proved to be a promising method for spinal cord injury (SCI) rehabilitation training. the core of BCI is to achieve a high accurate movement prediction based on patient’s MI. the inconsistent response frequency of MI in different trials and subjects leads to the limited performance accuracy of MI movement prediction method for the single subject. the individual differences in the activation patterns of MI brain regions bring a greater challenge to the generalization ability of the method. According to the MI mechanism, this paper proposes a graph-based tuned topological temporal-spatial fusion network (T3SFNet) for MI electroencephalography (MI-EEG) limb movement prediction. the proposed method designs a learnable EEG tuning mechanism to fuse and enhance the subject’s MI response band data, and then uses a channel node-based graph convolutional network and a temporal-spatial fusion convolutional network to extract the topological features and spatiotemporal coupling features of the fused band data respectively. We evaluate the proposed approach on two MI datasets and show that our method outperforms state-of-the-art methods in both within-subject and cross-subject situations. Furthermore, our method shows surprising results on the small-sample migration test, reaching the prediction baseline with only of the data sample size. Ablation experiments of the model demonstrate the effectiveness and necessity of the proposed framework. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electroencephalography

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Defense Strategies for Integrated Energy Cyber Physical Systems Considering Joint Attacks

Defense Strategies for Integrated Energy Cyber Physical Syst...

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Energy, Electrical and Power engineering (CEEPE), international conference on

作者： Danyan Gu Lucheng Hong Qiangqiang Yu Liang Hua College of Software Southeast University Nanjing China College of Electrical Engineering Southeast University Nanjing China State Grid Wuxi Power Supply Company Science and Technology Digital Department Wuxi Power Supply Company Wuxi China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

In the context of a highly interconnected energy landscape, coordinated cyber-physical attacks on integrated energy systems can cause significant damage and trigger considerable economic impacts. In order to ensure the robustness and uninterrupted function of such systems, the interaction between information and physical matrix is analyzed based on the inherent coupling mechanism unique to the integrated energy information-physical framework. After the basic analysis, a threelayer dynamic game model is designed using the strategy of game theory. the model is transformed into a mixed integer linear programming formula, load loss is selected as the vulnerability assessment index, and defense resources are effectively allocated to each component of the integrated energy system. Finally, an IEEE-39-node grid is coupled to an 11-node gas distribution network. Research and analysis, the proposed model and its related methods have been verified.

关键词： Economics Analytical models Power engineering Games Distribution networks Robustness Mixed integer linear programming

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the Trading Strategy of Distributed Energy Storage Participating in Energy and Frequency Modulation Market

The Trading Strategy of Distributed Energy Storage Participa...

引用

Energy, Electrical and Power engineering (CEEPE), international conference on

作者： Jing Xu Zhixin Fu Chunyi Wang Haoming Liu School of Electrical and Power Engineering Hohai University Nanjing China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

With the deepening reform of the electricity market in China, the study focuses on incentivizing distributed energy storage to provide frequency modulation ancillary services to the power system through market-based mechanisms. the research investigates the transaction decision-making of distributed energy storage in the energy and frequency modulation ancillary services market. An overall trading framework for the energy and frequency modulation ancillary services market is proposed. A bi-level decision model is developed, considering both maximizing the revenue of distributed energy storage and minimizing system costs. A hybrid integer linear programming equilibrium solution algorithm is designed based on duality theory and KKT conditions conversion. the effectiveness of the proposed model is verified through case analysis. the results demonstrate that the revenue from distributed energy storage accounts for more than 50% of the total revenue in the frequency modulation market, and strategic bidding by distributed energy storage can increase its revenue.

关键词： Power engineering Frequency modulation Costs Decision making Integer linear programming Electricity supply industry Safety

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Step-Based Carbon Trading Model for the Optimal Dispatch of RIES Considering Demand Response Incentivized by TOU Pricing

Step-Based Carbon Trading Model for the Optimal Dispatch of ...

引用

IEEE conference on Energy Internet and Energy System Integration (EI2)

作者： Fu Shen Xiang Dai Jian Wang Yutao Zhang Guangbing Yang Chong Wang Suwei Zhai Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming China College of Energy and Electrical Engineering Hohai University Nanjing China China Electric Power Research Institute Yunnan Power Grid Company Ltd. Kunming China

the assimilation of renewable energy sources (RESs) into the regional integrated energy system (RIES) necessitates a flexible and controllable load to address the challenges posed by the increasing prevalence of intermittent renewable energy generation. this paper proposes a step-based carbon trading model for the optimal dispatch of RIES considering demand response incentivized by TOU pricing. Firstly, the different interest groups involved in the production, transmission, and use of energy in the RIES are analyzed in this paper, as well as their interactions. then, the step-based carbon trading and demand response model are introduced based on the interactions of the interest groups in the RIES. the total objective function of the model is formulated by minimizing the grid interaction cost, photovoltaic (PV) and PW operation cost, carbon emissions cost, energy storage operation cost and DR invocation cost, transformed into a mixed integer liner programming (MILP) problem and solved using the Cplex solver. Finally, the multiple operating scenarios of simulation results validate the effectiveness and accuracy of the proposed model.

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Data poisoning: issues, challenges, and needs

Data poisoning: issues, challenges, and needs

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7th IET Smart Cities Symposium (SCS 2023)

作者： Mohammad Aljanabi Alaa Hamza Omran Maad M Mijwil Mostafa Abotaleb El-Sayed M. El-kenawy Sahar Yousif Mohammed Abdelhameed Ibrahim Department of computer College of Education Aliarqai university Baghdad Iraq University of information technology and communications Baghdad Iraq Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Science Department Computer Science & Information Technology College Anbar University Anbar Iraq Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

Data poisoning attacks, where adversaries manipulate training data to degrade model performance, are an emerging threat as machine learning becomes widely deployed in sensitive applications. this paper provides a comprehensive overview of data poisoning including attack techniques, adversary incentives, impacts on security and reliability, detection methods, defenses, and key research gaps. We examine label flipping, instance injection, backdoors, and other attack categories that enable malicious outcomes ranging from IP theft to accidents in autonomous systems. Promising detection approaches include statistical tests, robust learning, and forensics. However, significant challenges remain in translating academic defenses like adversarial training and sanitization into practical tools ready for operational use. With safety and trustworthiness at stake, more research on benchmarking evaluations, adaptive attacks, fundamental tradeoffs, and real-world deployment of defenses is urgently needed. Understanding vulnerabilities and developing resilient machine learning pipelines will only grow in importance as data integrity is fundamental to developing safe artificial intelligence.

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Position Control Application with Simatic S7-1500T and Sinamics S210

Position Control Application with Simatic S7-1500T and Sinam...

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international conference on Modern Power Systems (MPS)

作者： Mihai Rata Gabriela Rata Ciprian Bejenar Faculty of Electrical Engineering and Computer Science Stefan cel Mare University of Suceava Suceava Romania

Position control with PLC represents one of the high complexity software applications in the field of industrial automation. In this paper the authors present an automation design of two-axis control using Sinamics S210 and S7-1511T PLC which are useful for electrical engineering master's students. To provide an experience closer to real world applications and one that should allow the study of PLC programming, the PROFINET industrial communication protocol, design screens for Human Machine Interfaces (HMI) and positioning applications, the students can use the proposed solution in the faculty laboratories. they can start with the development of elementary complexity software applications, all the way to high complexity applications.

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Practical based E-examination using the Arduino E-kit for STEM electronic and mobile learning

Practical based E-examination using the Arduino E-kit for ST...

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7th IET Smart Cities Symposium (SCS 2023)

作者： Omae Malack Oteri Department of Telecommunication and Information Engineering School of Electrical Electronics and Information Engineering College of Engineering and Technology Jomo Kenyatta University of Agriculture and Technology Kenya

this paper presents the implementation of a practical-based E-examination using the Arduino E-kit for STEM (science, Technology, engineering, and Mathematics) electronic and mobile learning. the aim is to leverage the Arduino platform, which offers a versatile and cost-effective solution, to enhance hands-on learning experiences for students in STEM disciplines. the E-kit includes Arduino microcontrollers, sensors and actuators that are available and free in cloud-based software Autodesk Tinkercad. the practical-based E-examination involves students applying their knowledge and skills to solve real-world problems using the Arduino E-kit after working with it throughout the semester in class. the paper discusses the design and implementation of the practical E-examination, including the selection of appropriate tasks, assessment criteria, and evaluation methods. It also highlights the benefits of utilizing the Arduino E-kit for practical E-examinations, such as fostering creativity, problem-solving abilities, and critical thinking among students. the results of the implementation showed positive outcomes, with students demonstrating improved understanding of electronic concepts, enhanced programming skills, and increased engagement in the learning process. the use of the Arduino E-kit facilitates interactive and immersive learning experiences, enabling students to bridge the gap between theoretical knowledge learnt in class and practical real-life application. the integration of Arduino technology in practical E-examinations enhances the learning process, encouraging active participation and promoting a comprehensive understanding of STEM concepts.

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A Survey: Machine Learning and Deep Learning in Wheat Disease Detection and Classification

A Survey: Machine Learning and Deep Learning in Wheat Diseas...

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international conference on ent Computing and Control Systems (ICICCS)

作者： Nitin Sahu Aruna Bhat Department of Computer Science & Engineering Delhi Technological University Delhi India

Cereals are a significant and vital source of food for humans. To feed the world’s expanding population, farmers must produce more crops. Plant diseases, however, have an impact on crop production and food quality. Wheat is among the most important crops consumed worldwide. Since Wheat Disease causes production loss, early disease detection and classification are absolutely essential. this research study has conducted a literature survey on studies published from the year 2017 to 2022 and summarized the three main types of Wheat Disease (fungal, bacterial, and insects), Wheat Disease datasets, and the current state of the art from the last six years of research. this research study has examined 24 studies on disease identification and classification by using various Machine Learning (ML) and Deep Learning (DL) algorithms. the proposed research analysis shows that the majority of the literature on Wheat Disease focused on fungal disease, and the majority of the datasets used were self-acquired. Many State-of-the-art models have already produced excellent results, and many more need to be developed.

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Efficient Kinematic Calibration for Industrial Manipulators based on a Simplified POE model

Efficient Kinematic Calibration for Industrial Manipulators ...

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Robotics, Control and Automation engineering (RCAE), international conference on

作者： Jin Wang Ziyang Fang Chenchen Yu Haiyun Zhang Zhi Zheng Guodong Lu School of Mechanical Engineering Zhejiang University Hangzhou China Polytechnic Institute Zhejiang University Hangzhou China School of Robotics Ningbo University of Technology Ningbo China

ISBN: (数字)9798350355642

ISBN: (纸本)9798350355659

the Product-of-Exponential (POE) model simplifies kinematic modeling by establishing direct relationships between kinematic and end-effector errors using base coordinate and tool coordinates. However, It contains numerous parameters and high latitude, which may lead to reduced efficiency and precision in the case of limited test data. this paper introduces the Simplified Effective Kinematic Calibration (SEC) technique, combining the Simplified Product-of-Exponential (SPOE) model, Pre-processing Sequential Quadratic programming (PSQP), and Gaussian Process Regression (GPR) to enhance calibration accuracy and efficiency. the SEC technique reduces parameter identification dimension, identifies coordinate transformation, compensates for geometric errors, and uses GPR for non-geometric error compensation. Experiments show that SEC demonstrates better positioning accuracy and efficiency than traditional methods.

关键词： Support vector machines Accuracy Service robots Robot kinematics Computational modeling Error compensation Kinematics Calibration Quadratic programming Load modeling

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Using differences among replications of software engineering experiments to gain knowledge

Using differences among replications of software engineering...

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international Mining Software Repositories, MSR

作者： Natalia Juristo Sira Vegas Universidad Politécnica de Madrid Spain

In no science or engineering discipline does it make sense to speak of isolated experiments. the results of a single experiment cannot be viewed as representative of the underlying reality. the concept of experiment is closely related to replication. Experiment replication is the repetition of an experiment to double-check its results. Multiple replications of an experiment increase the credibility of its results. Software engineering has tried its hand at the identical repetition of experiments in the way of the natural sciences (physics, chemistry, etc.). After numerous attempts over the years, excepting experiments repeated by the same researchers at the same site, no exact replications have yet been achieved. One key reason for this is the complexity of the software development setting. this complexity prevents the many experimental conditions from being reproduced identically. this paper reports research into whether non-exact replications can be of any use. We propose a process that allows researchers to generate new knowledge when running non-exact replications. To illustrate the advantages of the proposed process, two different replications of an experiment are shown.

关键词： Software engineering Knowledge engineering Physics Chemistry programming Biographies Software systems Software measurement

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