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2024 ieee International conference on systems, Man, and Cybernetics, SMC 2024

作者： Liao, JianXing Xu, JunYan He, SiCheng Chen, ZeKe Yu, Shui Li, Yun Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen518110 China i4AI Ltd LondonWCIN3AX United Kingdom

ISBN: (纸本)9781665410205

With the proliferation of artificial intelligence, computer-aided design (CAD) is being transformed into computer-Automated design (CAutoD). In this paper, the advent of Large Language Models (LLMs) introduces new opportunities for CAutoD. This study develops AutoForma, an LLM-based multi-agent system, for automatic conversion from natural language descriptions to 3D models. By harnessing the comprehension capabilities of LLMs, AutoForma streamlines the CAutoD workflow by efficiently translating design intents into precise models in CAD. Through a comprehensive set of evaluations, AutoForma is seen to offer automation performance across various design tasks, particularly in generating non-standard parts that meet specific requirements, with higher efficiency and accuracy than using just an LLM like GPT-4. © 2024 ieee.

关键词： Electronic design automation

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Grounded Thyristor Loop-Based Hybrid MMCs for Valve-Side Single-Phase-to-Ground Faults in Bipolar HVdc systems

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ieee TRANSACTIONS ON POWER ELECTRONICS 2024年第5期39卷 6298-6311页

作者： Li, Huailong Deng, Fujin Tian, Jie Lu, Yu Li, Gang Lin, Jinjiao Southeast Univ Sch Elect Engn Nanjing 210096 Peoples R China Jiangsu Key Lab Smart Grid Technol & Equipment Nanjing 210096 Peoples R China NR Elect Co Ltd Nanjing 211102 Peoples R China State Grid Jiangsu Elect Power Co Ltd Res Inst Nanjing 211103 Peoples R China

The valve-side single-phase-to-ground (SPG) fault is one of the key challenges for the MMC-based bipolar HVdc system. In this article, a grounded thyristor loop (GTL)-based hybrid MMC (HMMC) is proposed to protect the bipolar HVdc system under valve-side SPG faults. In the GTL-HMMC, the thyristor branches are proposed to connect the different arm inductors and the ground. The operation for the GTL-HMMC in case of valve-side SPG faults is also proposed, where the GTL-HMMC can handle the faults with the advantages of short-fault current interruption time, low capacitor overvoltage, low arm overcurrent, low semiconductor cost, and low power loss. Electromagnetic transient (EMT) simulation studies using Power system computer aided design / electromagnetic transients including DC (PSCAD/EMTDC) tool and experimental studies with a laboratory scaled hardware prototype are conducted to confirm the effectiveness of the proposed technique.

关键词： Circuit faults Thyristors HVDC transmission Capacitors Switches Hidden Markov models Voltage control Bipolar high-voltage direct-current (HVdc) faults modular multilevel converters (MMCs) single-phase faults thyristor thyristor branch valve-side faults

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2024 ieee 2nd International conference on Sensors, Electronics and computer Engineering, ICSECE 2024

2024 IEEE 2nd International Conference on Sensors, Electroni...

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2nd ieee International conference on Sensors, Electronics and computer Engineering, ICSECE 2024

ISBN: (纸本)9798350373646

The proceedings contain 331 papers. The topics discussed include: research on computer aided French audiovisual intelligence system;feature extraction and intelligent generation of spatial environment design combined with deep learning;a federated learning algorithm based on combination of prototype and comparative learning;research on the optimization of wind-solar energy storage systems in park microgrids based on mixed integer linear programming and Monte Carlo simulation;deep learning in biometric recognition: applications and challenges;design and research of virtual human based on deep learning and paddle model;a fault diagnosis method based on TCN-LSTM-SE neural networks for distributed PV systems;and research on real-time image data transmission system of UAV in fault location of distribution network.

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Research on Intelligent control Method of Digital control system in Emergency Diesel Generator Set of Nuclear Power Plant 7

Research on Intelligent Control Method of Digital Control Sy...

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7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

作者： Wang, Qingming CGN Digital Technology Co. Ltd. Beijing China

ISBN: (纸本)9798350350760

According to the cold state and operation parameters of diesel generator set, the operation and excitation of the generator are controlled, and the fault protection is implemented. The monitoring system including the side speed control cabinet, the diesel generator condition monitoring platform and the generator volt-speed test platform are developed. In cooperation with the operator, the inspection of the nuclear emergency diesel generator set is completed, so that it can achieve automatic operation. The control and detected data are accurate, and the fail-safe measures are complete. According to the dynamic characteristics of fast loading and sudden loading, the incremental PID speed regulation model of nuclear emergency diesel engine was established to simulate the transient state of fast loading and sudden unloading, and the dynamic prediction of speed, fuel injection and rack position during loading was also made. The cascade regulation of high and low temperature water levels in diesel generator sets adopts self-disturbance rejection control technology, effectively solving the contradiction between traditional PID control speed and overshoot, and achieving dynamic compensation for internal and external disturbances of the controlled object. Additionally, given the multitude of parameters within ADRC, tuning them is challenging. Hence, a particle swarm method grounded in chaos optimization is employed to model optimal parameters. Experimental results demonstrate that the proposed algorithm exhibits superior robustness and performance compared to the conventional cascade PID algorithm. ©2024 ieee.

关键词： Disturbance rejection

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2024 ieee 7th International conference on Information systems and computer aided Education, ICISCAE 2024

2024 IEEE 7th International Conference on Information System...

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7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

ISBN: (纸本)9798350350760

The proceedings contain 229 papers. The topics discussed include: research on passive localization techniques for UAV formations based on the law of sines;text-driven image editing based on diffusion models;research on the application of electromechanical automation control software architecture to production line inspection under cloud computing platform;Bayesian optimization based LSTM model for time series forecasting problems;research on digital system of collaborative cycle integration information transformation in electric power enterprises;research on network intrusion detection method based on CNN;stereo matching algorithm based on DACVNet;a study on the thermal deformation prediction model of a motorized spindle based on swarm intelligence optimization algorithms;and study on the constraints of output and frequency fluctuations of offshore wind turbines.

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SHPAC: Fine-grained and Multi-platform Supported Access control system for Smart Home Scenario 33

SHPAC: Fine-grained and Multi-platform Supported Access Cont...

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33rd ieee International conference on computer Communications and Networks (ICCCN)

作者： Yang, Yiyu Zhang, Yuqing Univ Chinese Acad Sci Natl Comp Network Intrus Protect Ctr Sch Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9798350348439;9798350384611

In the scenario of multi-user access in smart homes, the platform's access control mechanism is crucial in ensuring that users can legitimately and appropriately access devices. However, we have found that the permission management mechanisms provided by smart home platforms and the solutions proposed in academic research are insufficient to fully meet the new requirements of access control. This can result in issues such as unauthorized access, inability to coordinate access conflicts, and lack of support for black-box platforms. In this paper, we present SHPAC, a new smart home access control scheme based on Policy-Based Access control. This scheme not only provides fine-grained permission management, but also supports users in submitting their personalized access preferences, as well as automatic conflict resolution and multi-platform support. We also implemented a prototype system and evaluated the system from the perspectives of black-box platform support, access control performance, and policy management effectiveness. The results show that our design can address the shortcomings of existing solutions, enhancing the flexibility and effectiveness of smart home access control.

关键词： Smart Home Access control fine-grained multi-platform

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Application Based on computer-aided Motion Intelligence system 3

Application Based on Computer-Aided Motion Intelligence Syst...

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3rd International conference for Advancement in Technology, ICONAT 2024

作者： Sun, Qianqian Sun, Jing Xue, Kunlun Huangdao District People's Hospital Shandong Qingdao266499 China Jiaozhou People's Hospital Shandong Qingdao266300 China Qingdao Municipal Public Security Bureau Huangdao Branch Network Police Brigade Shandong 266499 China

ISBN: (纸本)9798350354171

Intelligent system have a significant impact in the realm of sports and fitness, but there exists an issue with incomplete applications. Standard deep learning methods are insufficient to tackle these application challenges in sports intelligence, yielding suboptimal results. Hence, this study introduces a computer-aided motion intelligence system and examines its practical use. It imposes stringent requirements for data sets and design metrics, simplifying data assessment and reducing interference from intelligent system variables. Subsequently, statistical set theory aids in crafting the application blueprint for the intelligent system, leading to a thorough analysis of outcomes. MATLAB simulations reveal that, based on specific evaluation criteria, computer-aid outperforms conventional deep learning in both the precision of intelligent system applications and in the speed at which it influences system performance factors. © 2024 ieee.

关键词： Sports

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computer-aided Diagnostic system for Brain Tumor Classification using Explainable AI 2

Computer-Aided Diagnostic System for Brain Tumor Classificat...

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2nd ieee International conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024

作者： Padmapriya, S.T. Devi, M.S. Gayathri Department of Applied Mathematics and Computational Science Thiagarajar College of Engineering TamilNadu Madurai India

ISBN: (纸本)9798350360523

The field of computer-aided diagnosis (CAD) of brain tumors has been transformed by developments in medical imaging and artificial intelligence. The accuracy and interpretability of brain tumor classification are improved in this research using Explainable AI (XAI) techniques. A timely and correct diagnosis of brain tumors is essential for the best possible care and treatment of the patient. In contrast, traditional machine learning models often lack transparency and interpretability, making it difficult for clinicians to rely on their judgment. This study uses a Grad-Cam algorithm to create an understandable and interpretable CAD system for classifying brain tumors. Our approach not only achieves high classification accuracy, but also provides physicians with insights into the decision-making process, improving their understanding and confidence in the system's recommendations. We evaluate our model using a large and diverse dataset and compare it to modern deep learning models and traditional CAD systems. The results show that our CAD system with XAI extensions not only achieves improved accuracy but also provides useful insights into the decision-making process. Using this method, doctors may be able to diagnose patients more accurately. © 2024 ieee.

关键词： Deep learning

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Research on computer Remote Network Multi-Person Video Connection Intelligent Network Training system 6

Research on Computer Remote Network Multi-Person Video Conne...

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

作者： Chong, Li Yuan, Zhou Chengjie, Li Jun, Liu Guiyang Branch of Guizhou Tobacco Company Guizhou Guiyang550000 China Anshun University Guizhou Anshun561000 China

ISBN: (纸本)9798350313444

In this paper, a remote video conferencing system based on cloud video is proposed and implemented. The system uses a mesh transfer card for MV-440 single channel high definition MPEG4 images. This paper introduces the design and implementation of online video system based on DELPHI+ VDK. The main functions are high-definition video, camera control, data processing, image adjustment, sound Settings and different software styles. This method fixes images that have been damaged on the network by resending and FEC encoding. The image quality has been greatly improved in the unsatisfactory network environment. The experiment proves that the multi-person online intelligent network training system has the characteristics of small load, good controllability and remarkable management effect. © 2023 ieee.

关键词： intelligent network multiplayer video connection network training system Remote network

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A Deep Investigation on Stealthy DVFS Fault Injection Attacks at DNN Hardware Accelerators

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ieee TRANSACTIONS ON computer-aided design OF INTEGRATED CIRCUITS AND systemS 2025年第1期44卷 39-51页

作者： Xu, Junge Zhang, Fan Jin, Wenguang Yang, Kun Wang, Zeke Jiang, Weixiong Ha, Yajun Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China Zhejiang Univ Coll Comp Sci & Technol Hangzhou 310027 Peoples R China Zhengzhou Xinda Inst Adv Technol Zhengzhou 450001 Peoples R China ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 201210 Peoples R China

With increasing computation of various applications, dynamic voltage and frequency scaling (DVFS) is gradually deployed on FPGAs to improve performance and save energy. However, its reliability and security have not been sufficiently evaluated, which incurs quite many concerns. In this article, we propose an evaluation framework for deep investigation of stealthy DVFS fault injection attacks on the state-of-the-art deep neural networks (DNNs) deployed on modern FPGAs. The evaluation framework mainly consists of a DVFS attack striker and a time-to-digital converter (TDC)-based hardware profiler. Two modes of evaluation are derived, and their effectiveness is demonstrated on a platform composed of a SkyNet accelerator and three ImageNet models built on a Xilinx deep learning processor unit (DPU). Experimental results show that more than 99% detection accuracy loss can be measured targeting at all tested DNN models under prospective operation mode but without any performance degradation in frame per second (FPS). In our investigation of sensitive layer mode, more than 93% average accuracy loss with 84.7% fault probability can be measured on a single bundle of the SkyNet. We characterize the vulnerabilities of different DNN layers subject to DVFS attacks through leveraging the TDC-based hardware profiler to precisely control the timing of fault injection.

关键词： Circuit faults Field programmable gate arrays Artificial neural networks Voltage control Hardware acceleration Deep learning Energy efficiency Deep learning accelerator dynamic voltage and frequency scaling (DVFS) fault injection attack image recognition time-to-digital converter (TDC)

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