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检索条件"任意字段=Electronic System-Integration Technology Conference"

共 10883 条记录，以下是11-20 订阅

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Research on the Application of Intelligent Analysis system in the Promotion of Evaluation Indicators for the Development of New Rural Cultural Industries - Analysis of the Promotion Path and Key Elements Integrating TPB, TAM and DOI 24

Research on the Application of Intelligent Analysis System i...

引用

8th International conference on electronic Information technology and Computer Engineering, EITCE 2024

作者： Li, Jiayao Hu, Yubo Ji, Haokang Zhang, Yuchen College of Art and Communication China Jiliang University Zhejiang Hangzhou China Hubei University of Science and Technology Hubei Xianning China FutureFront Interdisciplinary Research Institute Huazhong University of Science and Technology Hubei Wuhan China

ISBN: (纸本)9798400710094

This article examines the application of intelligent analysis systems in the promotion of evaluation indicators for the development of the cultural industry in new rural areas. As China places emphasis on rural revitalization and the integration of cultural industries, the lack of scientific and quantitative evaluation standards has become a challenge to the development of the cultural industry in new rural areas. This study employs the Analytic Hierarchy Process (AHP) to establish a set of evaluation indicators and constructs a hybrid model combining the Theory of Planned Behavior (TPB), technology Acceptance Model (TAM), and Diffusion of Innovations (DOI) to analyze the acceptance, adaptability, and effectiveness of these indicators in the promotion process. Through a pilot study in Wenzhou City, Zhejiang Province, this research utilizes an intelligent analysis system to collect and analyze data, aiming to provide strategic recommendations to enhance the acceptance and usage rate of evaluation indicators for the development of the cultural industry in new rural areas. © 2024 Copyright held by the owner/author(s).

关键词： Evaluation Indicators

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Dynamic Cybersecurity Risk Assessment and Control Frameworks Applied to Enhance Power system Security 24

Dynamic Cybersecurity Risk Assessment and Control Frameworks...

引用

8th International conference on electronic Information technology and Computer Engineering, EITCE 2024

作者： Ling, Ying Xie, Ming Chen, Kezuo Electric Power Research Institute Guangxi Power Grid Co. Ltd. Guangxi Nanning China

ISBN: (纸本)9798400710094

The reliability of power supply systems is inherently linked to the security of power monitoring systems, which face complex network communication structures due to the integration of diverse hardware devices from multiple manufacturers. This paper introduces a dynamic control mechanism-based cybersecurity risk assessment methodology designed for power monitoring systems. The proposed method aims to offer a robust protection framework to ensure the uninterrupted operation of these critical systems. By implementing a dynamic trust evaluation system, it can swiftly detect and mitigate attacks on devices, thereby bolstering the system’s overall security. The effectiveness of this approach is validated through experiments that demonstrate its ability to identify compromised devices under various anomaly and update rates. The results indicate that the trust evaluation algorithm is highly effective in pinpointing all devices that have been compromised. © 2024 Copyright held by the owner/author(s).

关键词： Cybersecurity

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Smart Clothing system for Arrhythmia Detection Based on Digital Twin technology 41st

Smart Clothing System for Arrhythmia Detection Based on Di...

引用

41st Computer Graphics International conference, CGI 2024

作者： Yu, Hanchen He, Mingwei Yu, Feng Liu, Li Jiang, Minghua School of Electronic and Electrical Engineering Wuhan Textile University Wuhan China School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Engineering Research Center of Hubei Province for Clothing Information Wuhan China

ISBN: (纸本)9783031820236

With the ongoing evolution of intelligent sensors and artificial intelligence, wearable devices have achieved remarkable breakthroughs. Smart clothing, encompassing a diverse array of types, has found widespread applications across various life domains, particularly in the healthcare sector. However, despite these advancements, current smart clothing still faces limitations such as limited interaction capabilities, significant application constraints, and inadequate monitoring functionalities. To overcome these challenges and further enhance the user experience, this paper proposes a new smart clothing system. The system has the capability to monitor multiple physiological parameters of the human body. Furthermore, it incorporates a new algorithm called ARDN specifically designed for initial arrhythmia detection. To validate the effectiveness of the arrhythmia detection algorithm, an experimental analysis was conducted using the MIT-BIH arrhythmia database. Furthermore, to facilitate real-time monitoring and effective human-computer interaction, the system incorporates digital twin (DT) technology. This integration of intelligent sensors and terminal equipment through DT technology enables the system to conduct a comprehensive analysis of the users’ physical condition, thereby providing an initial health diagnosis. The system presents novel opportunities for advancing the development of personalized healthcare, facilitating seamless integration into everyday life, and enhancing users’ well-being. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Diseases

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A Research-Oriented Model for Artificial Intelligence Education: Integrating Multidisciplinary Approaches to Foster Innovation and Holistic Learning 24

A Research-Oriented Model for Artificial Intelligence Educat...

引用

7th International conference on Educational technology Management, ICETM 2024

作者： Li, Liang Huang, Weihua Liu, Bin School of Artificial Intelligence and Automation Wuhan University of Science and Technology Hubei Wuhan China

ISBN: (纸本)9798400717468

With the rapid advancement of technology, artificial intelligence (AI) has become an indispensable part of various industries. To keep pace with this trend, higher education institutions must cultivate AI professionals with interdisciplinary thinking and research capabilities. This paper, based on the "Double First-Class" program construction in Chinese universities, explores an AI course education model within the context of interdisciplinary integration. By analyzing existing issues in current AI course education, we propose a research-oriented perspective to build a comprehensive interdisciplinary knowledge integration system and establish a collaborative platform that bridges both in-class and external connections. This approach is intended to enhance students’ innovative and problem-solving abilities. By combining theory with practice, this paper advocates for deep reforms in AI courses for graduate students, aiming to improve their overall quality and cultivate "passionate, technology-driven, high-quality" talent for society. © 2024 Copyright held by the owner/author(s).

关键词： Federated learning

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Fuzzy Logic and Fog Computing in electronic Health Records Data Privacy: A Comprehensive Review 2

Fuzzy Logic and Fog Computing in Electronic Health Records D...

引用

2nd International conference on Computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Mohan, Devendra Singh Bansal, Varun Kumar, Anil Shobhit University Gangoh Saharanpur India Shobhit University Gangoh Saharanpur India GCET Gautam Buddha Nagar India

ISBN: (纸本)9798331530389

The potential to improve healthcare services has drawn attention to the use of fuzzy logic and fog computing into electronic health records (EHRs). This study offers a thorough analysis of the research on Fog Computing (FC) enabled Fuzzy Logic c-based EHR systems. While fog computing allows for real-time data processing and decentralized storage near end users, fuzzy logic provides a reliable method for handling ambiguities in patient data, diagnoses, and decision-making. When combined, these technologies enhance data security, scalability, and system responsiveness. This research paper includes major approaches, architectures and important applications such as in cloud computing fog-based solutions reduces bandwidth and latency related issues with the help of fuzzy logic how clinical decision support system improves. In this study we list the future research possibilities to address these type problems and also explains obstacles such as complexity of computing, interoperability and privacy of data. These type of study assists academics and practitioners to creating effective, intelligent and safe EHRs' system. In this research paper privacy preservation of EHRs addressed by integration of fuzzy logic with fog computing. © 2025 IEEE.

关键词： electronic health record

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Data Processing and Pattern Recognition for electronic Nose 3

Data Processing and Pattern Recognition for Electronic Nose

引用

3rd International conference on electronics and Renewable systems, ICEARS 2025

作者： Raymond, David Chaudhri, Shivnath Shaikh, Kahkasha Datta Meghe Institute of Higher Education and Research Faculty of Enfineering and Technology Department of Computer Science and Medical Engineering Wardha India Datta Meghe Institute of Higher Education and Research Faculty of Enfineering and Technology Depertment of Computer Science and Design Wardha India

ISBN: (纸本)9798331509675

electronic nose (e-nose) technology has become a powerful tool for identifying and evaluating complex scents in a variety of contexts, such as environmental monitoring, medical diagnostics, and food quality control. This review study looks at how important pattern recognition and data processing are to improving e-nose system performance. This study covered challenges, including data complexity, cross-sensitivity and interference, sensor drift, and a lack of standardization. The article covers several future directions, such as the use of artificial intelligence (AI) and machine learning to advance pattern recognition and predictive analytics, integration with the Internet of Things (IoT) and big data for real-time monitoring, and advancements in sensor technology for improved sensitivity and *** research work is underway towards the development of low power flexible sensors, improved multi sensor fusion Methodologies, smart adaptive algorithms, Application for personalized health monitoring and diagnostics as well to make it green technologies. To move forward with emerging technologies and for e-nose technology to be applicable, it will have to overcome these weaknesses. © 2025 IEEE.

关键词： electronic nose

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Design and analysis of GPS satellite-based augmentation system based on low earth orbit constellations 3

Design and analysis of GPS satellite-based augmentation syst...

引用

2024 3rd International conference on Aerospace and Control Engineering, ICoACE 2024

作者： Yang, Jianlei Jin, Zhengzhen Zheng, Shuaiyong Huang, Shiyong Ma, Guoyu Ji, Shiran Key Laboratory of Satellite Navigation System and Equipment Technology Shijiazhuang050081 China The 54 Research Institute China Electronics Technology Group Shijiazhuang050081 China School of Integrated Circuit Science and Engineering Tianjin University of Technology Tianjin300384 China College of Software Tianjin Normal University Tianjin300387 China

Addressing the need for improved GPS accuracy, especially for low-dynamic users, this study introduces a GPS augmentation system employing Low Earth Orbit (LEO) satellites. We detail the principles of satellite navigation and augmentation and simulate the GPS-LEO constellation to analyse its performance in terms of satellite visibility and Position Dilution of Precision (PDOP). The results demonstrate substantial augmentation in navigation accuracy with the integrated system, as verified by UAV flight experiments. The integration of LEO satellites is anticipated to advance global navigation capabilities, with implications for intelligent transportation, logistics, and precision agriculture. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Global positioning system

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Blockchain in electronic Voting: A systematic Review of Security, Scalability, and Emerging Technologies 3

Blockchain in Electronic Voting: A Systematic Review of Secu...

引用

3rd International conference on Intelligent and Innovative Technologies in Computing, Electrical and electronics, IITCEE 2025

作者： Gupta, Shantanu Tyagi, Neha Amity University Amity School of Engineering & Technology Department of Computer Science and Engineering Uttar Pradesh India

ISBN: (纸本)9798331515911

Blockchain technology has emerged as a promising solution for enhancing the security, transparency, and efficiency of electronic voting systems. This review paper presents a comprehensive analysis of recent research papers, examining various cryptographic techniques, consensus mechanisms, and blockchain frameworks designed to address critical issues such as voter anonymity, coercion resistance, and election integrity. The findings are categorized into key themes: security, privacy, scalability, verifiability, and performance, with an emphasis on advanced methods like biometric encryption and quantum key distribution. Emerging trends, including quantum cryptography and decentralized governance, are explored as future avenues for innovation. Despite these advancements, challenges related to governance, user engagement, legal frameworks, and system interoperability persist. The paper concludes by identifying the need for further research into scalability and security improvements, as well as the seamless integration of blockchain solutions with existing electoral infrastructure to enable real-world adoption © 2025 IEEE.

关键词： Anonymity

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Real-Time Health Monitoring system by Integrating Augmented Reality and Internet of Things 6th

Real-Time Health Monitoring System by Integrating Augmented ...

引用

6th International conference on Intelligent Communication, Control and Devices, ICICCD 2024

作者： Kulkarni, Radhika V. Shilimkar, Avanish Bhegade, Sakshi Dadmal, Jidnyasa Department of Computer Engineering Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9789819783281

In order to provide real-time health monitoring in the healthcare industry, the article presents a novel integration of augmented reality (AR) and the Internet of Things (IoT). Our goal is to build a unified system that combines IoT and AR technologies to produce an interesting health monitoring service. Our study reveals the combined potential of these technologies, which have been explored separately in previous research. We close the gap in the literature by utilising AR for vital indicator monitoring and demonstration, which allows for accurate real-time patient monitoring. Our system architecture incorporates Blynk Cloud for data storage, Unity 3D for complex augmented reality health data visualisation, MQTT protocol for secure data sharing, and sensors connected to ESP32s. Our method, which improves medical education and technology integration, lays the groundwork for a revolutionary change in healthcare by utilising ARKit, ARCore, Vuforia, and OpenCV. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： electronic health record

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Enhanced Grid integration of PV systems Using Double-Stage Configuration and PUC7 Inverter Controlled by MPC

Enhanced Grid Integration of PV Systems Using Double-Stage C...

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International conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2024

作者： Khettab, Soufian Kheldoun, Aissa Bradai, Rafik Hattabi, Intissar SET Laboratory Blida 1 University Faculty of Technology Automation and Electrical Engineering Department Blida09000 Algeria Laboratory of Signals and Systems Institute of Electrical and Electronic Engineering University M’hamed Bougara Boumerdes35000 Algeria LATSI Blida 1 University Faculty of Technology Electronics Department Blida09000 Algeria

ISBN: (纸本)9783031803000

The paper introduces a double-stage, single-phase photovoltaic (PV) system connected to the grid using a packed U-cell seven-level (PUC7) inverter, governed by Model Predictive Control (MPC). This system aims to optimize grid integration by achieving enhanced current injection with minimal Total Harmonic Distortion (THD), reactive power compensation, and efficient extraction and injection of maximum power from the PV source. Simulation results underscore the efficacy of the proposed control strategy in enhancing power quality, responsiveness, and accuracy across varying weather conditions, thereby validating the feasibility and robustness of the proposed PV system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Predictive control systems

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