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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68510 条记录，以下是31-40 订阅

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Design and Implementation of Intelligent Data Analysis Platform 24

Design and Implementation of Intelligent Data Analysis Platf...

引用

8th international conference on Electronic Information technology and computer Engineering, EITCE 2024

作者： Huang, Qiaoling Luo, Fakang Computer Engineering College Jimei University Fujian Xiamen China Guoke Information Technology company Fujian Xiamen China

ISBN: (纸本)9798400710094

With the emergence of GPT developed by the OPENAI team, artificial intelligence is in a thriving stage of development. This article aims to design and implement an intelligent data analysis platform based on artificial intelligence technology, expanding people’s application of artificial intelligence through the integration of AI operation and data analysis. This platform has achieved cost reduction and efficiency improvement in data analysis. By importing the original dataset and inputting analysis requirements, AI can be called to generate visual charts and analysis conclusions. This research is expected to promote the development of artificial intelligence technology in the business field and provide new ideas and methods for software design. © 2024 Copyright held by the owner/author(s).

关键词： Chart

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Event-Triggered Output Feedback Prescribed Performance Consensus Control for High-Order Nonlinear Multiagent Systems 24

Event-Triggered Output Feedback Prescribed Performance Conse...

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2nd international conference on Frontiers of Intelligent Manufacturing and automation, CFIMA 2024

作者： Li, Zhijie Liu, Haodong Chen, Zeyuan Wang, Xiaofei Li, Ding Zhao, Chong School of Electrical Engineering Hebei University of Science and Technology Hebei Shijiazhuang China Hebei University of Science and Technology Hebei Shijiazhuang China

ISBN: (纸本)9798400710681

This article studies the event-triggered output feedback prescribed performance consistency control problem for a class of uncertain multi-agent systems under directed topology. Unlike existing works forced on predetermined performance control for multi-agent systems, this paper presents an novel relaxed method which does not require the initial state of system to be within a specific range. Based on the backstepping method, a novel prescribed performance event-based controller is designed to guarantee the transient-steady performance constraints of the systems. The dynamic surface control technique is used to deal with the calculating explosion problem. Finally, we provide a simulation to verify the effectiveness of the proposed method. © 2024 Copyright held by the owner/author(s).

关键词： Backstepping

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An Improved U-Net Architecture for Continuous Non-Invasive Arterial Blood Pressure Estimation 24

An Improved U-Net Architecture for Continuous Non-Invasive A...

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8th international conference on Electronic Information technology and computer Engineering, EITCE 2024

作者： Lin, Dongmei Li, Yahui Chen, Fuming Chou, Yongxin College of Electrical and Information Engineering Lanzhou University of Technology Gansu Lanzhou China Medical Support Center The 940th Hospital of Joint Logistics Support Force of Chinese People’s Liberation Army Gansu Lanzhou China School of Electrical and Automation Engineering Changshu Institute of Technology Jiangsu Changshu China

ISBN: (纸本)9798400710094

Cardiovascular diseases account for a significant portion of all fatalities, causing significant loss of life globally each year. Currently, continuous blood pressure monitoring is the most feasible option, given the limitations of invasive monitoring methods and the challenges in accuracy, complexity, and reliability of non-invasive techniques. We have delved into the advantages of deep learning and have eliminated the dependency on manual feature extraction. Consequently, we have introduced a network that incorporates information from various scales and an attention mechanism to tackle the deficiencies in existing methods, which might fail to consider the diverse scales inherent in PPG signals. This network accurately estimates continuous ABP waveforms from PPG signals, end-to-end, compensating for the phase shift and preserving waveform characteristics. Experiments demonstrate that our approach yields an mean absolute error of 3.20 ± 4.34 mmHg for DBP, 3.43 ± 3.91 mmHg for MAP, and 4.53 ± 6.22 mmHg for SBP estimation, respectively, outperforming existing works and meeting the stringent standards of both BHS and AAMI. These results demonstrate the effectiveness and potential application of this method in non-invasive blood pressure monitoring. © 2024 Copyright held by the owner/author(s).

关键词： Blood pressure

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The comparative study of vector wave equation solutions based on dyadic Green's function 8

The comparative study of vector wave equation solutions base...

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2024 8th international conference on Mechanics, Mathematics and Applied Physics, ICMMAP 2024

作者： Luo, Xiangdong Li, Yongning School of Computer Guangdong University of Science and Technology Dongguan523083 China

Based on the dyadic Green's function, this paper analyzes four Green function methods for solving vector wave equations, obtains the relations of electromagnetic field quantities expressed by dyadic Green's function, and compares several methods. It is found that the expression of the third method is the same as that of the second method. If G=m=G=m2 is chosen for the fourth method, the expression of the solution is the same as that of the first method. © Published under licence by IOP Publishing Ltd.

关键词： Wave equations

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Wind energy production using novel HCS algorithm to reach MPPT for small-scale wind turbines under rapid change wind speed

Wind energy production using novel HCS algorithm to reach MP...

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international conference on Innovation and Technological Advances for Sustainability, ITAS 2023

作者： Badawi, Ahmed Ali, Hassan Ismail, Nasser A. Zyoud, Alhareth Yusoff, Siti Hajar College of Engineering Technology University of Doha for Science and Technology Doha Qatar Department of Electrical and Computer Engineering Birzeit University Birzeit Ramallah Palestine Department of Electrical and Computer Engineering International Islamic University Malaysia Kuala Lumpur Malaysia

ISBN: (纸本)9781032803722

In this paper, a novel algorithm had been proposed to improve the efficiency performance of the wind energy conversion system (WECS) to reach the maximum possible captured power under fast varying wind speed. The permanent magnet synchronous generator (PMSG) had been selected because of its reliability and efficient performance, especially in low-speed conditions environment. The novel algorithm applied the power prediction mode to make optimization for the reached decision to the maximum peak point. The proposed algorithm shows better efficiency performance for different wind speed conditions. The novel algorithm accelerates convergence to detect the maximum peak point without sacrificing efficiency. The novel algorithm’s simplicity reduces the overall time required by 33% when compared to the three-mode algorithm. © 2025 The Author(s).

关键词： Windmill

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Research on the Academic Emotion Status of Vocational Undergraduate Industry Education Integration Classroom Based on Knowledge Visualization 24

Research on the Academic Emotion Status of Vocational Underg...

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8th international conference on Electronic Information technology and computer Engineering, EITCE 2024

作者： Wen, Xinyuan Shi, Jinmei Zhang, Huaxin Hainan Vocational University of Science and Technology Hainan Haikou China

ISBN: (纸本)9798400710094

Student academic emotions are one of the important levels of feedback classroom teaching effects. Occupational undergraduate -in -law integration classrooms are cradle for cultivating high -level, high -skilled technical talents. By using CiteSpace visual analysis software, the annual publishing of the journal literature in the field of academic emotions from 2013-2023 in the CNKI database, the author, the author, the post institution, the publishing agency, the research hotspot, and the research cutting edge of the literature statistics, and draw the visual graph. Clarifying the current research status and development trends in the field of academic emotions, and found that the research trend of the academic field has gradually increased in the past ten years, explaining the social attention of the academic emotions of the classroom. Research institutions have a lot of flowers, and research institutions and researchers have a certain scale. Among them, overseas researchers have high attention to academic emotional themes. Set the node as the analysis of keywords, and find that the research objects in the field of academic emotional research are widely scope. By study the academic emotions of students’ academic emotions of students in the integration of professional undergraduate education, and to classify emotional classifications, promote the multi -level and personalized development of students according to their aptitude, and promote the development of students. Industrial training high -quality talents. © 2024 Copyright held by the owner/author(s).

关键词： Students

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Incentivizing Crowdsensing for DT-Enabled Metaverse 20th

Incentivizing Crowdsensing for DT-Enabled Metaverse

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20th IFIP WG 10.3 international conference on Network and Parallel Computing, NPC 2024

作者： Ye, Dongdong Huang, Xumin Wu, Yuan Kang, Jiawen Zhong, Weifeng Niyato, Dusit School of Automation Guangdong University of Technology Guangzhou China State Key Laboratory of Internet of Things for Smart City University of Macau Taipa China Department of Computer and Information Science University of Macau Taipa China Collge of Computing and Data Science Nanyang Technological University Singapore Singapore

ISBN: (纸本)9789819628292

Digital Twin (DT) has been proposed as a key enabling technology to produce a digital clone of the physical world and facilitate the convergence of the physical and virtual worlds for building a real-world Metaverse. For physical-virtual synchronization, crowdsensing is applied to employ Internet of Things (IoT) devices to sense physical objects and collect status information for timely updating the associated DTs. However, an incentive mechanism is necessitated to stimulate the devices to perform sensing tasks while meeting task requirements such as Age of Information (AoI) requirements. Thus, we adopt a contract theoretic approach to design an incentive mechanism for the devices that are classified into several types and the type parameters are unknown to others. The contract consists of a set of contract items with each contract item representing a device type, which specifies the required data updating frequency and monetary reward. We formulate an optimal contract design problem subject to feasible constraints including the average AoI requirement for each device type. Furthermore, we solve the problem by transforming it into a convex optimization problem that can be directly tackled by the existing methods. Finally, we provide numerical results to demonstrate the effectiveness and efficiency of our scheme. © IFIP international Federation for Information Processing 2025.

关键词： Convex optimization

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Detection of prohibited items in dual-view X-ray security inspection images based on DINO model 24

Detection of prohibited items in dual-view X-ray security in...

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8th international conference on computer science and Artificial Intelligence, CSAI 2024

作者： Sun, Boyan Zhang, Wenyu Chen, Qiuxia Zhang, Haigang University of Science and Technology Liaoning Liaoning Anshan China Shenzhen Polytechnic University Guangdong Shenzhen China

ISBN: (纸本)9798400718182

In contemporary society, the escalating demand for security inspections necessitates the detection of prohibited items in X-ray images using computer vision technology. At present, the security inspection equipment in most public places is designed to detect contraband from a single perspective, which cannot solve the problems of target occlusion and misjudgment or omission caused by unfriendly imaging angles. Dual-viewpoint security inspection involves imaging the item under test from both horizontal and vertical directions. Dual-view imaging, which characterizes the package under examination from two distinct transmission angles, effectively addresses visual analysis challenges posed by target occlusion and suboptimal imaging angles. The difficulty in identifying contraband through dual-view security inspection lies in the effective fusion of two visual features, thereby improving detection accuracy. Based on the DINO framework, we established a dual-view contraband detection model for X-ray security inspection images named DV-DINO. In addition, a Vertical Direction Information Compensation module (VDIS) is designed to facilitate information interaction between the two views. Finally, we conducted comparative experiments on Dualray. Compared with DINO, the mAP is improved by 2.1% which confirms the superior performance of DV-DINO. © 2024 Copyright held by the owner/author(s).

关键词： Inspection equipment

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Autonomous and Adaptive Communications Systems for Smart Home Applications 5th

Autonomous and Adaptive Communications Systems for Smart Hom...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Krishnamoorthy, Ramkumar Das, Neeraj Sharma, Khushboo Jindal, Kanika Department of Computer Science and Information Technology Jain University Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Electrical Engineering Vivekananda Global University Jaipur India Department of Electronics and Communication Engineering Noida Institute of Engineering and Technology Uttar Pradesh Noida India

ISBN: (纸本)9789819780426

Smart home packages have become more and more standard in nowadays society, giving customers the potential to without problems connect and control various devices within their domestic. Self-sustaining and adaptive communication structures are crucial for smart home packages, allowing seamless integration of these devices and efficient electricity intake. Self-sufficient and adaptive verbal exchange structures for smart home applications. It examines exclusive existing methods for clever domestic automation as well as discusses techniques inclusive of dispensed computing, simulated annealing, reinforcement studying, and game idea. Eventually, it discusses capability destiny tendencies and advances in self-sufficient and adaptive communication systems that would improve the user revel in of smart home applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart homes

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Next-Generation IoT Intrusion Detection: Leveraging Hybrid Deep Learning Algorithms for Enhanced Security 2

Next-Generation IoT Intrusion Detection: Leveraging Hybrid D...

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

作者： Urvashi Agarwal, Parul Raghuvanshi, Kamlesh Kumar Ahmed, Jawed Department of Computer Science and Engineering Jamia Hamdard University Delhi India Department of Computer Science University of Delhi Delhi India

ISBN: (纸本)9798331530389

Wireless sensor node and DDoS (Distributed Denial of Service) is a major attack way that can exhaust the energy of a sensor, disrupt the communication traffic of an IoT network. We must be on the lookout for these attacks. With the quantity of sensor nodes, traditional methods face difficulty in detecting network traffic analysis requiring big data analysis. This paper is dedicated to Network Traffic analysis using Big Data environment and detecting attacks using Deep Learning. Implemented with PySpark in Google Colab, using Keras and Scikit-Learn built-in libraries. To be more specific, training and testing are conducted on the 'CICIoT2023'/'TON IoT' datasets, respectively. When we use a correlation feature reducer, it virtually considers the most significant features for inclusion and reduces all of our features. The first contains a hybrid deep leaning model combining one-dimensional EfficientDet and Gradient Boosting Machine (GBM), comparing it with ten other algorithms. It gen- erated 99.95% binary classification accuracy for the CICIoT2023 dataset and 99.75% for TON IoT data. © 2025 IEEE.

关键词： Network intrusion

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