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检索条件"任意字段=IEEE Conference on Computer-Aided Control System Design"

共 43302 条记录，以下是611-620 订阅

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AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing 24

AdaPI: Facilitating DNN Model Adaptivity for Efficient Priva...

引用

43rd International conference on computer-aided design, ICCAD 2024

作者： Zhou, Tong Zhao, Jiahui Luo, Yukui Xie, Xi Wen, Wujie Ding, Caiwen Xu, Xiaolin Northeastern University China University of Connecticut United States UMass Dartmouth United States North Carolina State University United States University of Minnesota Twin Cities United States

ISBN: (纸本)9798400710773

Private inference (PI) has emerged as a promising solution to execute computations on encrypted data, safeguarding user privacy and model parameters in edge computing. However, existing PI methods are predominantly developed considering constant resource constraints, overlooking the varied and dynamic resource constraints in diverse edge devices, like energy budgets. Consequently, model providers have to design specialized models for different devices, where all of them have to be stored on the edge server, resulting in inefficient deployment. To fill this gap, this work presents AdaPI, a novel approach that achieves adaptive PI by allowing a model to perform well across edge devices with diverse energy budgets. AdaPI employs a PI-aware training strategy that optimizes the model weights alongside weight-level and feature-level soft masks. These soft masks are subsequently transformed into multiple binary masks to enable adjustments in communication and computation workloads. Through sequentially training the model with increasingly dense binary masks, AdaPI attains optimal accuracy for each energy budget, which outperforms the state-of-the-art PI methods by 7.3% in terms of test accuracy on CIFAR-100. The code of AdaPI can be accessed via https://***/jiahuiiiiii/AdaPI. © 2024 Copyright is held by the owner/author(s).

关键词： Budget control

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Fuzzy Fractional Order PID controller design for AVR system 3

Fuzzy Fractional Order PID Controller Design for AVR System

引用

3rd ieee International conference on control, Instrumentation, Energy and Communication, CIEC 2024

作者： Chakraborty, Susmit Mondal, Arindam Das, Chandan Brainware University Department of Computer Science and Engineering Kolkata India Dr. B. C. Roy Engineering College Department of Electrical Engineering Durgapur India Dr. B. C. Roy Engineering College Department of Computer Science and Engineering Durgapur India

ISBN: (纸本)9798350313703

An automated voltage regulator (AVR) is a feedback control system that examines the output voltage of generator, compares it to a predetermined value, and outputs an error signal that is used to modify excitation of the generator. In this manuscript, Fuzzy logic-based fractional order PID controller (Fuzzy-FOPID) is designed for the AVR problem. The parameters of the controller are tuned with a newly introduced metaheuristic optimization algorithm, known as Firebug Swarm optimization (FSO). When compared to other types of controllers described in the literature, the effectiveness of the FSO-tuned Fuzzy-FOPID controller performs the most effective control. The optimized gains of the proposed controller are evaluated on two different types of objective functions Integral Absolute Error (IAE) and Integral of time multiplied absolute error (ITAE). The output of the MATLAB simulation demonstrates the superiority of the suggested controller for the AVR system in terms of the per unit terminal voltage (TV) of the alternator. © 2024 ieee.

关键词： Optimization

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design and Experimental Validation of Brain-computer Shared control of a Robotic Arm Based on Motion Intention Prediction 10

Design and Experimental Validation of Brain-Computer Shared ...

引用

10th International conference on Mechatronics and Robotics Engineering (ICMRE)

作者： Liu, Juan Yu, Xuanqi Liang, Ping Zhang, Jialiang Wuhan Univ Technol Sch Informat Engn Wuhan Peoples R China

ISBN: (纸本)9798350394283;9798350394276

As one of the commonly used signals in brain-computer interfaces, direct control of a robotic arm by motor imagery signals introduces ambiguity to the patient's intent recognition. In order to disambiguate and predict the patient's motion intention, this paper uses a fuzzy Petri net to fuse disambiguation and prediction metrics to dynamically regulate and assign weights to the control system to achieve accurate recognition of motion intention. Firstly, a prediction metric based on short-term directional deviation and short-term path distance is introduced to solve the problem that the two target objects to be determined are at similar distance and in a straight line with the end of the robot arm, respectively. Secondly, the disambiguation metric is introduced to improve the accuracy of target prediction, to achieve accurate assisted grasping tasks with low classification EEG signals, and to reduce the user burden in the shared control system. Finally, the effectiveness of this paper's algorithm on intention disambiguation and prediction is experimentally verified.

关键词： Brain computer interface intention prediction disambiguation Fuzzy Petri net

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design and Implementation of Personal Smart Home system Based on Edge Computing Gate 5

Design and Implementation of Personal Smart Home System Base...

引用

5th International conference on computer Engineering and Intelligent control, ICCEIC 2024

作者： Xu, Fangqin Jiang, Yue Yang, Shun Liu, Yixuan Shanghai Publishing and Printing College Department of Information and Intelligent Engineering Shanghai China College of Communication and Art Design University of Shanghai for Science and Technology Shanghai China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

ISBN: (纸本)9798331507992

With the advancements in IoT technology, cloud computing, and big data technology, smart living has become an integral part of people's lives. However, traditional intelligent data computing relies heavily on cloud services, which often suffer from issues such as slow response times and high energy consumption. To address these issues, this study introduces an edge computing architecture centered on gateways, serving as an intermediate layer between user devices and cloud servers. This architecture enables high-speed data processing, low-latency responses, and rapid end-to-end connections, making it suitable for most small-scale and personal smart home systems. © 2024 ieee.

关键词： Smart homes

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Research on Feedforward Parameter Identification of Valve-controlled Cylinder system Based on Kalman Algorithm

Research on Feedforward Parameter Identification of Valve-Co...

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2023 ieee International conference on Electrical, Automation and computer Engineering, ICEACE 2023

作者： Zhe, Zhang Shandong Vocational College of Science and Technology Department of Mechanical and Electrical Engineering Weifang261000 China

ISBN: (纸本)9798350309614

The valve-controlled cylinder servo system is an underdamped system with insufficient amplitude margin, which makes overall closed-loop control accuracy low;Also, the open-loop proportional coefficient of the system is a time-varying parameter, which makes it impossible to accurately design feedforward compensation for the system. To resolve above two problems, this paper proposes a feedforward compensation algorithm with parameter auto-tuning function based on Kalman algorithm and local parameter optimization model reference adaptive algorithm. In the paper, we provide the design scheme of the controller and establish a mathematical model, analyze the dynamic characteristics and static characteristics of whole valve-controlled cylinder system, and finally conduct simulation verification. The simulation results shows that the feedforward control has little impact on system stability since the feedforward compensation algorithm we adopt does not rely on the original closed-loop. At the same time, the feedforward parameters have the ability to self tune and can quickly respond to time-varying parameter changes. Ultimately, it greatly improved control accuracy. © 2023 ieee.

关键词： feedforward control Kalman parameter identification self tune valve-controlled cylinder system

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A Novel Diversified API Recommendation for Power system Sensors 17

A Novel Diversified API Recommendation for Power System Sens...

引用

ieee Congress on Cybermatics: 17th ieee International conference on Internet of Things, iThings 2024, 20th ieee International conference on Green Computing and Communications, GreenCom 2024, 17th ieee International conference on Cyber, Physical and Social Computing, CPSCom 2024, 10th ieee International conference on Smart Data, SmartData 2024

作者： Zhu, Minhao Gu, Huanhuan Che, Xun Chen, Jingfei Zhao, Qian Liu, Fan Zheng, Yu Nari Group Corporation Nanjing China Nanjing University of Science and Technology School of Cyber Science and Engineering Nanjing China Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing China Guodian Nanjing Automation Co. Ltd. Nanjing China

ISBN: (纸本)9798350351637

The collaborative interaction between power systems and the Internet of Things (IoT) is strengthening, with IoT devices facilitating real-time monitoring and governance of the power grid, pushing power systems to the next frontier: the smart grid. Nevertheless, the reliance of power systems on a vast array of IoT devices, each with its unique API, makes the development of a unified smart grid software solution extremely complex. Most existing research focuses on accuracy in recommendations, thus neglecting users' needs for functional diversity. To address this issue, we propose a diversified API recommendation approach that suggests a variety of functional APIs from power system sensors to users. We start by converting API labels into feature vectors based on a pre-trained language model and calculate the similarity between APIs through clustering. Subsequently, we construct an API graph to model the functional similarity relationships between APIs. Finally, we generate a minimum weighted tree to obtain a combination of APIs that meets the requirements and ensures diversity. We demonstrate the advantages of our proposed method in terms of diversity through a case study. © 2024 ieee.

关键词： Power systems computer aided design

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Flexibility-Oriented Scheduling of Smart Energy Hubs Considering Integrated Demand Response Programs

Flexibility-Oriented Scheduling of Smart Energy Hubs Conside...

引用

ieee Canadian conference on Electrical and computer Engineering (CCECE)

作者： Bagherzadeh, Leila Kamwa, Innocent Delavari, Atieh Laval Univ Dept Elect Engn Quebec City PQ Canada Hydro Quebec Res Inst Power Syst Control Dept Varennes PQ Canada

ISBN: (纸本)9798350371635;9798350371628

The transition towards a sustainable energy system requires the integration of renewable energy sources (RESs) and the adoption of innovative energy management frameworks to handle RES variability and uncertainty. The evolution of novel energy management technologies has made it possible to design and operate integrated energy systems (IESs) that couple various energy carriers such as electricity, heat, and gas. The emergence of energy hubs (EHs) presents opportunities for enhanced efficiency, reliability, and flexibility in energy supply and demand. However, optimizing operation schedules in EHs incorporates non-renewables, renewable sources, and energy storage devices becomes increasingly complex as they strive to meet diverse customer demands. This paper introduces a stochastic model for EH operation integrating electrical, thermal, and cooling storage with an electric vehicle parking lot (EVPL). In addition to uncertainty modeling of demands, PV, and EVPL outputs, the model incorporates an integrated demand response program (IDRP) and seasonal load patterns. It's formulated as a linear model solved using the CPLEX solver in GAMS. Results show integrating a shiftable IDRP reduces operational costs by 6% and validates that ESS discharges during peak hours enhance system flexibility.

关键词： flexibility-oriented scheduling smart energy hubs uncertainty modeling electric vehicle parking lot integrated demand response programs seasonal load patterns

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design of Circulating Commodity Garbage Classification system Based on Machine Vision 6

Design of Circulating Commodity Garbage Classification Syste...

引用

2023 ieee 6th International conference on Information systems and computer aided Education, ICISCAE 2023

作者： Li, Dong Du, Fangxin Institute of Electrical and Mechanical Wuhan Wuhan City Polytechnic Wuhan China José Rizal University Manila Philippines

ISBN: (纸本)9798350313444

The circulating commodity garbage classification system design based on machine vision is an application-oriented product design combining machine vision and garbage classification, which will deal with life problems intelligently. It not only actively responds to the national call for energy conservation, environmental protection and environmental governance, but also saves people's life time and improves efficiency. This paper takes machine vision and the classification of circulating commodity waste as the research object, combines intelligent equipment with common problems in daily life, and makes use of the bar code feature on the packaging of circulating commodity waste as the basis for judgment. Through software analysis and intelligent system processing, the final judgment result is displayed in the form of human-computer interaction. Halcon visual analysis software supports a variety of language environments and provides a variety of analysis operators to process data accurately and efficiently. Therefore, this design uses Halcon as the main programming software to realize garbage classification with VS programming software. An industrial camera is used as an image acquisition device to create an offline database of various circulating commodities. Halcon vision software is used to preprocess bar codes with threshold segmentation and create templates for identification and decoding. Finally, the decoding results are matched with the offline database to obtain the types of circulating commodity garbage. The Halcon and VS programming environment is constructed, and the program is associated with the display screen, and the human-computer interaction system of garbage classification of circulating commodities is finally realized. Finally, summarize and conclude to complete the whole content of the design. © 2023 ieee.

关键词： Garbage classification Machine vision The human-computer interaction

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2024 ieee 7th International conference on computer and Communication Engineering Technology, CCET 2024

2024 IEEE 7th International Conference on Computer and Commu...

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7th ieee International conference on computer and Communication Engineering Technology, CCET 2024

ISBN: (纸本)9798350355673

The proceedings contain 53 papers. The topics discussed include: research on signal attenuation by humidity and rain in 60ghz frequency band;assessment of machine translation in addressing communication barriers on the perception of college students;theoretical and experimental studies of THz wireless communication signal transmitting through window glass;application of evolutionary computing for optimal design of base station antenna;improvement plan for cyber-security of DCS control system of nuclear power plants;research on intelligent optimization system for data mining of communication networks;randomized-enhanced magnitude channel pruning for radar jamming detection;and design of human body motion detection system based on pyroelectric infrared sensor.

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design on Teaching Case of Visual Magnetic Levitation Ball with Robust control 4

Design on Teaching Case of Visual Magnetic Levitation Ball w...

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4th International conference on computer, control and Robotics (ICCCR)

作者： Tao, Xinjie Wei, Lisheng Ma, Xiaodong Lu, Huacai Anhui Polytechn Univ Sch Elect Engn Wuhu Peoples R China

ISBN: (纸本)9798350373141;9798350373158

Under the background of new engineering education, the deepening reform based on engineering education has become one of the important contents for higher education specialty construction. Taking the opportunity to explore the teaching reform of control laboratory courses in Anhui Polytechnic University, the case teaching into the whole teaching system was introduced. Through the analysis and practice research of the robust control strategy of the visual magnetic levitation ball system, combined with the teaching goal of control theory, a teaching case based on the magnetic levitation ball robust control is designed, which is helpful to integrate the control theory knowledge and the background of scientific research and practice, and effectively improve students' ability to analyze and solve practical problems. Classroom teaching results show that the case teaching as a teaching aid can achieve beneficial results.

关键词： new engineering case teaching magnetic levitation ball robust control

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