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共 6248 条记录，以下是121-130 订阅

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Fully Automatic Infrared Pyroelectric Home Burglar Alarm Design 4

Fully Automatic Infrared Pyroelectric Home Burglar Alarm Des...

引用

4th ieee international conference on Power, Electronics and Computer Applications, ICPECA 2024

作者： Bao, Qinyu Wen, Jialiang Zhang, Pengchao Liang, Ruiyang Liu, Jingzhang He, Yinghao City Institute Dalian University of Technology Liaoning Dalian116600 China

ISBN: (纸本)9798350359589

With the continuous development of technology and the improvement of people's living standards, there is an increased focus on safety. therefore, research on safety prevention and automatic alarm systems is gaining attention in homes, businesses, and institutions. this paper introduces a monitoring and alarm system design based on the DYP-ME003 thermopile infrared sensor. the design is simple, stable, and effective, with strong anti-interference capabilities, a long detection range, a wide detection area, and high sensitivity. Moreover, it is discreetly installed and easily managed. the design consists of software and hardware components, including a power supply, status indicator, STC89C52 microcontroller, buzzer alarm module, LCD module, and the DYP-ME003 human infrared sensor. © 2024 ieee.

关键词： burglar alarm DYP-ME003 human infrared sensor IoT smart home STC89C52 microcontroller

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Smart Accident Prevention at Hairpin Bends Using sensor-Based System 4

Smart Accident Prevention at Hairpin Bends Using Sensor-Base...

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4th international conference on Power, Energy, Control and Transmission systems, ICPECTS 2024

作者： Rajapandian, B. Premalatha, S. Sathya Priya, M. Subhiksha, V. Nivethitha, S. Nikitha, S. Sri SaiRam Engineering College Electronics and Instrumentation Department West Tambaram Chennai India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508845

Accidents are repeated in many countries and people suffer. Mountain roads and the curved ones are among those that have accidents frequently. In these conditions there are roads which have sharp turns and as a result the driver has no visibility of the vehicles in the opposite lane. these are the places where everyone needs to be careful and intelligent enough. this problem is to inform the driver about the problem causing the object in the opposite direction. this can be achieved by installing an ultrasonic sensor on one side of the road before the curve, and positioning an LED light and buzzer on the opposite side after the curve. When a vehicle is detected by the sensor, the LED light and buzzer will be activated on the other side of the road. © 2024 ieee.

关键词： Ultrasonic sensors

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Enhancement of Routing Flexibility by a Novel distributed Approach for WSN 4

Enhancement of Routing Flexibility by a Novel Distributed Ap...

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4th ieee Annual Flagship India Council international Subsections conference, INDISCON 2023

作者： Ansari, Ahtshamuddin Deshpande, Bhargavi College of Law Iimt University Uttar Pradesh Meerut India Isdi - School of Design & Innovation Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350333558

Wireless sensor networks (WSNs) have been widely used in many applications such as environment monitoring and surveillance. Routing flexibility is one of the important issues to improve the performance of WSNs. In this paper, we propose a novel distributed approach to improve routing flexibility in WSNs. the proposed approach utilizes a graph-based mechanism to transmit the data packets over reliable and energy efficient paths. this approach dynamically adjusts the routing paths according to the changes in traffic patterns and environmental conditions. Moreover, we design an adaptive weight-based routing algorithm that can further increase routing flexibility. the proposed approach also provides an energy-aware mechanism and an efficient communication channel selection protocol to save the energy consumption of the network. the proposed mechanism has been simulated and evaluated through ns-2. the experimental results show that the proposed approach can significantly improve routing flexibility and reduce the energy consumption of the WSNs. © 2023 ieee.

关键词： Wireless sensor networks

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A Health Monitoring System with Multi-sensor Information Fusion (HMS-MSIF) using a Deep Learning Approach 4

A Health Monitoring System with Multi-Sensor Information Fus...

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4th international conference on Sustainable Expert systems, ICSES 2024

作者： Guru Prasath, S. Santhosh, R. Mekala, N. Karpagam Academy of Higher Education Department of Computer Science and Engineering Coimbatore India

ISBN: (数字)9798331540364

ISBN: (纸本)9798331540364

In recent years, the Health Monitoring System (HMS) is a complicated technology that offers numerous benefits over conventional patient health management systems. these systems comprise a wearable wireless device, such as a bracelet, with sensors, incoming sensors, EEG sensors, and other features linked to a smartphone application that allows a doctor to obtain medical data remotely through a cloud platform. the cloud platform handles the information storage and retrieval management. Multi-sensor management involves managing or coordinating various sensor resources to govern environment perception activities. the innovative study on multi-sensor fusion is becoming the most significant factor in creating and researching modern multi-sensor-supported healthcare systems. therefore, this research finds a solution by designing a health monitoring system with multi-sensor information fusion (HMS-MSIF) using a deep neural network. this model designs a deep neural network for learning sensor representations from the raw sensor-based health data. the simulation results show the highest prediction accuracy of 97.58%, reliability ratio of 97.23% and signal-to-noise ratio of 98.64%. the proposed model gives the lowest error rate of 19.76%, thus suggesting real-time implementation. © 2024 ieee.

关键词： Convolutional neural networks

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distributed Agent-Based Collaborative Learning in Cross-Individual Wearable sensor-Based Human Activity Recognition 17

Distributed Agent-Based Collaborative Learning in Cross-Indi...

引用

7th ieee international conference on Robotic computing (IRC)

作者： Esmaeili, Ahmad Ghorrati, Zahra Matson, Eric T. Purdue Univ Comp & Informat Technol W Lafayette IN 47907 USA

ISBN: (纸本)9798350395747

the rapid growth of wearable sensor technologies holds substantial promise for the field of personalized and context-aware Human Activity Recognition. Given the inherently decentralized nature of data sources within this domain, the utilization of multi-agent systems with their inherent decentralization capabilities presents an opportunity to facilitate the development of scalable, adaptable, and privacy-conscious methodologies. this paper introduces a collaborative distributed learning approach rooted in multi-agent principles, wherein individual users of sensor-equipped devices function as agents within a distributed network, collectively contributing to the comprehensive process of learning and classifying human activities. In this proposed methodology, not only is the privacy of activity monitoring data upheld for each individual, eliminating the need for an external server to oversee the learning process, but the system also exhibits the potential to surmount the limitations of conventional centralized models and adapt to the unique attributes of each user. the proposed approach has been empirically tested on two publicly accessible human activity recognition datasets, specifically PAMAP2 and HARth, across varying settings. the provided empirical results conclusively highlight the efficacy of inter-individual collaborative learning when contrasted with centralized configurations, both in terms of local and global generalization.

关键词： Human Activity Recognition Collaborative Learning Multi-agent systems Wearable sensors

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distributed Robust Optimization of Multi-Energy Microgrid Clusters 4

Distributed Robust Optimization of Multi-Energy Microgrid Cl...

引用

4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： Hu, Shifeng Yang, Pengfei Zhang, Yifan Tang, Wenxing Tibet Agricultural and Animal Husbandry University Bayi Tibet Nyingchi China

ISBN: (纸本)9798350366914

With the growing energy demand and environmental challenges, distributed multi-energy micro grid (MEMG) systems have emerged as a promising solution to enhance energy resilience and sustainability. However, optimizing MEMG operations under electricity price uncertainty poses significant challenges. this paper proposes a novel approach combining the Alternating Direction Method of Multipliers (ADMM) algorithm with robust optimization techniques to enhance the robustness of MEMG operations. the approach aims to minimize operational costs while ensuring system stability and reliability by considering electricity price uncertainties. Optimization models for various micro grids within the MEMG, including MEMG1, MEMG2, and MEMG3, are developed, considering diverse energy resources and operational constraints. through iterative optimization and coordination using the ADMM algorithm, the approach achieves decentralized MEMG operations while facilitating information exchange among micro grids. Simulation results demonstrate the method's effectiveness and robustness under different uncertainty scenarios, highlighting its potential in resilient and sustainable energy systems. © 2024 ieee.

关键词： distributed energy

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Maximization of Network Lifetime by Energy Balancing Algorithm for Wireless sensor Networks 4

Maximization of Network Lifetime by Energy Balancing Algorit...

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4th ieee Annual Flagship India Council international Subsections conference, INDISCON 2023

作者： Sharma, Rachna Deshpande, Bhargavi School of Arts & Humanities Iimt University Uttar Pradesh Meerut India Isdi - School of Design & Innovation Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350333558

the Maximization of network lifetime by energy balancing algorithm is a research topic that focuses on the development of distributed algorithms for enhancing the lifetime of wireless sensor networks (WSNs). With the recent development of wireless technologies, WSNs are becoming increasingly popular for a variety of sensing and environmental monitoring applications. WSNs are typically made up of a large number of sensor nodes, each equipped with limited energy resources such as batteries. In order to maintain long-term operation of the WSN, it is necessary to balance the energy usage of the nodes in order to prolong their network lifetime. Energy balancing algorithms attempt to achieve this by balancing the energy usage among the nodes in the network. this paper discusses the various techniques used for energy balancing and the current state of research in this area. the paper presents several energy balancing strategies such as power-aware routing, energy harvesting, and energy-efficient communication protocols. the paper also discusses recent approaches to optimize energy balancing strategies, such as multiple objective optimization, distributed optimization and game theory. Finally, the paper concludes by presenting some future directions for research in this area. © 2023 ieee.

关键词： Energy efficiency

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Using a sensor-Health-Aware Resilient Fusion for Localization in the Presence of GPS Spoofing Attacks

Using a Sensor-Health-Aware Resilient Fusion for Localizatio...

引用

4th ieee Annual international conference on Cyber Security and Resilience (ieee CSR)

作者： Moosavi, Samin Moore, Isabel Gopalswamy, Swaminathan Texas A&M Univ Dept Mech Engn College Stn TX 77840 USA

ISBN: (纸本)9798350375367

the integration of unmanned air systems and autonomous vehicles in various industries has led to a heightened focus on cybersecurity, particularly regarding Global Positioning System (GPS) spoofing attacks. this research proposes an algorithm to detect and deemphasize GPS when spoofed and then perform graceful recovery when GPS recovers. By integrating data from GPS, Inertial Measurement Units (IMUs), and low-resolution onboard sensors, the research applies the recently developed sensor-Health Aware Resilient Fusion (SHARF) algorithm that maintains positional accuracy despite compromised GPS data. the algorithm's health monitoring component continuously evaluates sensor integrity, applying a convex combination of Kalman Filters and Covariance Intersection methods to ensure unbiased and consistent estimates of the vehicle's state. the impact of the proposed algorithms in enhancing the reliability and security of navigation systems is demonstrated with emulated GPS spoofing attacks on experimental data.

关键词： Kalman filters

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A Light Robust Optimization Approach for Multi-Integrated Energy System Based on Cooperative Game 4

A Light Robust Optimization Approach for Multi-Integrated En...

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4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： Sun, Jiarong Wang, Jianan School of Electrical Engineering and Automation Fuzhou University Fuzhou China

ISBN: (纸本)9798350366914

In response to the challenge of multi-park integrated energy systems with energy sharing struggling to adapt to the randomness of renewable energy, existing research has utilized various uncertainty-based mechanisms to collaboratively optimize the energy utilization of each PIES. However, the optimization methods based on these mechanisms exhibit characteristics that are either overly complex or highly conservative. this paper proposes a light robust (LR) optimization method to address the aforementioned issues. Firstly, within the light robust framework, a multi-energy sharing model is constructed among the multiple park integrated energy systems (PIES) through cooperative game theory, satisfying the interests and individual differences of each entity. then, Nash equilibrium is utilized to determine the transaction settlements for the shared energy. Applying the ADMM algorithm to address the proposed model in a distributed manner, with the aim of safeguarding the privacy of all participating entities involved in the collaboration. Finally, through case studies analysis, the proposed model's ability to reduce the operational costs of each PIES has been validated. Moreover, the LR model also offers guidance for the selection between the economic benefits and robustness levels of PIES. © 2024 ieee.

关键词： distributed energy

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Dynamic Incentive Mechanism Design for distributed Learning in 5G Private Networks: A Generalized Benders Decomposition Approach 4

Dynamic Incentive Mechanism Design for Distributed Learning ...

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4th international conference on Electronic Information Engineering and Computer Communication, EIECC 2024

作者： Zu, Xuefeng Hu, Fangzhou Liang, Duandan Liu, Yanfei Unit 31401 of the People's Liberation Army Changchun China

ISBN: (纸本)9798331534622

In the 5G private network environment, to incentivize data providers to contribute data and computational resources for enhancing the generalization capability and model accuracy of distributed learning systems, this paper proposes a dynamic incentive mechanism based on Generalized Benders Decomposition (GBD). We model the interaction between the system administrator and data providers as a Stackelberg game, where the incentive strategy of the system administrator is optimized to achieve maximum system revenue while meeting the generalization requirements. To address the coupling in the leader-follower problem, we design an algorithm based on GBD, enabling the system administrator to dynamically guide the resource contributions of data providers through iterative incentive adjustments. Experimental results demonstrate that the proposed dynamic incentive mechanism outperforms baseline schemes in terms of generalization capability, system revenue, resource contribution level, and model training accuracy. © 2024 ieee.

关键词： 5G mobile communication systems

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