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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30780 条记录，以下是1481-1490 订阅

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Research on key technologies of DC carrier chip applied in distributed photovoltaic scene 26

Research on key technologies of DC carrier chip applied in d...

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26th international conference on Electrical Machines and systems, ICEMS 2023

作者： Zhang, Hailong Zhu, Enguo Ren, Yi Li, Ran Chen, Kuixi Zhai, Mengdi China Electric Power Research Institute Metering Department Beijing China Beijing Smartchip Microelectronics Technology Ltd. Beijing China

ISBN: (纸本)9798350317589

Four problems in the current monitoring and control process of distributed photovoltaic power generation are described: the lack of effective monitoring and shutdown means for module measurement, the harsh temperature environment of the power station, the complex carrier channel environment and the lack of DC carrier signal coupling technology. The design scheme of DC carrier chip is proposed, and innovation is made in the design of high dynamic analog front-end circuit, high precision temperature sensor and high performance DC coupling circuit equipment and improve on-site maintenance efficiency. The effectiveness of the innovative scheme is verified by mathematical model and software simulation. © 2023 ieee.

关键词： Computer software

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ReQ-tank: Fine-grained distributed Machine Learning Flow Scheduling Approach 29

ReQ-tank: Fine-grained Distributed Machine Learning Flow Sch...

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29th ieee international conference on Parallel and distributed systems, ICPADS 2023

作者： Xu, Quanyi Yan, Kedong Yin, Dan Huang, Chanying Xiao, Shan Yang, Yuxin School of Cyber Science and Engineering Nanjing University of Science and Technology Jiangyin China School of Computer Science and Engineering Nanjing Univ. of Science and Technology Nanjing China School of Computer Science and Engineering Beijing Univ. of Civil Engineering and Architecture Beijing China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Fiberhome Communication Tech. Co. Wuhan China

ISBN: (纸本)9798350330717

The swift advancement of distributed computing has enhanced the support for big data and massive-scale models. Yet, delivering superior services to manage large and intricate network flows in data center networks remains a formidable challenge. In this paper, we present ReQ-tank, an intricate flow scheduling approach based on a multi-level feedback queue (MLFQ) devised to achieve flow prioritization and efficient flow scheduling. ReQ-tank employs a two-tier scheduling strategy: On the flow scheduling layer, priority queues are segmented into two categories, and the flows within high-priority queues follow a strict priority scheduling, while those in low-priority queues adhere to differential weighted Round-robin scheduling;On the packet scheduling layer, ReQ-tank modifies the priority of initially high-priority re-transmitted packets to facilitate fine-grained data packet scheduling. We carry out simulation experiments on web search workloads and data mining workloads. Experimental results demonstrate that ReQ-tank can curtail packet wait time in the network, significantly truncate the flow completion time (FCT) of delay-sensitive flows and counteract the issue of flow starvation in traditional strict priority queues. Consequently, ReQ-tank is deemed more suitable for complex distributed network applications. © 2023 ieee.

关键词： Data Center Networking Flow scheduling packet scheduling SDN

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Enhancing GPS Position Estimation Using Multi-sensor Fusion and Error-State Extended Kalman Filter 6

Enhancing GPS Position Estimation Using Multi-Sensor Fusion ...

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6th ieee international conference on distributed computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022

作者： Aravind, A. Ashwin, V. Chandeep, S. Yasaswi, P.S.S.S. Gandhiraj, R. Sundaram, Ga Shanmugha Research Lab Amrita School of Engineering Department of Electronics and Communication Engineering Coimbatore India

ISBN: (数字)9781665487160

ISBN: (纸本)9781665487160

An optimally designed GPS receiver can typically achieve 3-5 meters accuracy. This accuracy is insufficient for autonomous navigation where the margin of error must be low. Some existing sensor fusion approaches (IMU and GPS fusion using EKF) can achieve 2-3 meters (average error of 2.66 meters) accuracy, but the existing systems cannot function if the GPS receiver is not functional. Other modern techniques like Differential GPS are expensive to implement. Hence an accurate, cost-effective, and available alternative is required. As an alternative to Conventional GPS which typically has an accuracy of 3-5m which is not sufficient for autonomous navigation, a system that consists of data from LiDAR, IMU, and GPS has been implemented using sensor fusion with the help of error state extended Kalman filter. The implemented system was put to test using data synthesized from Carla Simulator. The proposed system was shown to have improved accuracy by reducing the position error by nearly 95%. © 2022 ieee.

关键词： Global positioning system

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Low-Energy-Consumption Operation Debugging Method of Large-Scale Gymnasium HVAC System Based on Physical sensor Network

Low-Energy-Consumption Operation Debugging Method of Large-S...

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2022 international conference on Sustainable computing and Data Communication systems, ICSCDS 2022

作者： Liu, Zhaoliang College of Marine Engineering Electrization and Intelligence Jiangsu Maritime Institute Nanjing Jiangsu 211100 China

ISBN: (纸本)9781665478847

In order to achieve the goal of low-energy operation of HVAC in large stadiums, a building central air-conditioning energy-saving monitoring network based on physical sensor network technology has been developed, which can realize real-time monitoring and control of central air-conditioning systems in large public buildings or building groups. The network nodes form a self-organizing wireless sensor network according to the ieee802.15.4/ZigBee protocol, using wireless temperature, humidity and other sensors to provide temperature and humidity in the building environment, water supply and return water temperature on the secondary side of the power center plate heat exchanger, etc. Perform real-time acquisition. The on-site operating parameters are transmitted to the upper computer of the monitoring center through the GPRS network, which realizes the energy-saving management and optimization control of the entire system operation by the upper computer. © 2022 ieee.

关键词： Gymnasiums

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A Novel Approach to Vehicular Safety: Raspberry Pi-based Collision Avoidance and Connectivity in Smart Automobiles Leveraging AI-driven sensor Fusion 2

A Novel Approach to Vehicular Safety: Raspberry Pi-based Col...

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2nd international conference on Automation, computing and Renewable systems, ICACRS 2023

作者： Rohini, M. Praneeth, T. Sivareddy, T. Tamilselvan, A. Department of Electronics and Communication Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9798350340235

The introduction of smart and connected vehicles has had a dramatic impact on the automobile sector. Given the continuously evolving context, ensuring vehicular safety is important. The present research describes a novel way to improve vehicle safety by combining a Raspberry Pi-based collision avoidance system with complex networking features in smart cars. The implementation of artificial intelligence-driven sensor fusion, which integrates data from various onboard sensors to enhance collision prediction and prevention, is the fundamental element of the invention. The paper describes an extensive technique that includes hardware setup, data collecting, sensor fusion, AI-driven collision prediction, enhanced networking, and real-world testing. The results of simulated and real-world scenarios show that the technology has the potential to greatly improve road safety. It was able to achieve high collision prediction accuracy, quick response times, and excellent communication with other cars and infrastructure. Furthermore, a comparison with the existing method demonstrates the unique approach's improved performance and benefits. The proposed research is an important step toward establishing total vehicular safety in smart automobiles and opens the path for future automotive technology advances. © 2023 ieee.

关键词： Artificial Intelligence Collision Avoidance Raspberry Pi sensor Fusion Smart Automobiles Vehicular Safety

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Enhancing Federated Learning for Confidential sensor Data Aggregation in IoMT Environments

Enhancing Federated Learning for Confidential Sensor Data Ag...

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2024 ieee international conference on Big Data, BigData 2024

作者： Aga, Dagmawit Tadesse Siddula, Madhuri North Carolina A&t State University Dept. of Computer Science Greensboro United States

ISBN: (纸本)9798350362480

The Internet of Medical Things (IoMT) is a trans-formative technology that enables medical systems and devices to collaborate seamlessly to improve healthcare delivery. However, the widespread adoption of IoMT raises significant privacy concerns, particularly regarding the aggregation and analysis of sensitive medical data. This paper proposes a novel approach to address these challenges through the utilization of Federated Learning (FL) techniques. We present a comprehensive framework for privacy-preserving data aggregation, leveraging FL to collaboratively train machine learning models across distributed devices while preserving data privacy and security. Our approach decentralizes the model training process and performs computations locally on edge devices. This ensures that sensitive patient data remains secure and never leaves the respective devices, eliminating the need to share data with a central server. The central server combines the weights of the parameters and transmits only the updated weights to each device. Furthermore, we conducted experimental evaluations to demonstrate the effectiveness and efficiency of our proposed approach by achieving high accuracy (90.91%) while ensuring privacy. Additionally, we compared the model with other models and related work to evaluate its performance in terms of accuracy, privacy preservation, and overall effectiveness in securing IoMT data. Overall, our work contributes to the advancement of privacy-enhancing technologies for IoMT, paving the way for more secure and trustworthy healthcare systems in the era of connected medical devices. © 2024 ieee.

关键词： Federated learning

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Optimized Deep Learning-Based Intrusion Detection and Secure, Energy-Efficient Routing in Wireless sensor Networks 4

Optimized Deep Learning-Based Intrusion Detection and Secure...

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4th ieee international conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Soni, Anita Bhalerao, Sidharth Maddineni, Tejaswi Ali, Syed Manzoor Rajini, J. Khare, Shubhi Ies University Department of Computer Science and Engineering Bhopal India Gyan Ganga Institute of Technology & Sciences Dept of Cse MP Jabalpur India Southern Illinois University Carbondale United States College-St Aloysius Institute of Technology India Kongu Engineering College Department of English TN Erode India Ggits MP India

ISBN: (纸本)9798331518981

The growth of WSN and the Internet of Things (IoT) has been phenomenal as a consequence of recent technical developments. The supplier of cloud services experiences maximum delay due to the enormous amount of data processing required. The IoT is made possible by fog computing, which is an unsecured computing technology that supports programs on billions of connected gadgets in an efficiently and economical way. It has the potential to address issues with Internet of Things applications that need location awareness, geolocation, low latency, and movement support. When it involves fog-based WSNs, cybersecurity is of the utmost importance, and IDS (intrusion detection systems) are often built using Deep Learning (DL) models. This method's design allows applications to run on platforms that are near the network's edge, reducing service overhead. A cloud-like system that provides users with preservation, software service, and computer assets. As a new method, it encounters many problems with security and privacy due to the fact that fog gadgets are often located in areas with low levels of protection. The confidentiality of information may be jeopardized by cyberattacks such as port scanning, disruption of service, probes, and man-in-the-middle attacks. The Cuckoo optimization method has shown results that are slightly better, with a precision of 99%. In addition, the Behavior-based IDS approach has shown moderate findings with a 99% success rate. © 2024 ieee.

关键词： Fog computing

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NFT as a proof of Digital Ownership-reward system integrated to a Secure distributed computing Blockchain Framework 13

NFT as a proof of Digital Ownership-reward system integrated...

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13th ieee international conference on Cloud computing Technology and Science (CloudCom)

作者： Cantu, Asahi Geng, Jiahui Rong, Chunming Univ Stavanger Stavanger Norway

ISBN: (纸本)9781665463676

Today, the global economy is dependent on the Internet and computational resources. Although they are tightly interconnected, it is difficult to evaluate their degree of interdependence. Keeping up with the pace of technology can be a challenging task, mainly when updating the hardware and software infrastructure. Every day, corporations and governments are faced with this issue;most have been victims of cyber attacks, security breaches, and data leaks. The consequences are significant in monetary losses;damage remediation is unattainable, even impossible, in certain circumstances. The repercussions might include reputational damage, legal responsibility, and threats to national security (when attacks are carried out against critical infrastructures to control the resources of a country), to name a few. Similarly, data has become such an integral part of many industries that it is one of the most critical targets for attackers that often is encrypted by ransomware, stolen, or corrupted. Without data, many companies are not able to continue operating as they do. The combination of all these factors complicates the ability of organizations to cooperate, trust, and share information in efforts to research and develop solutions for industry and government. This work proposes a Blockchain-based infrastructure solution provided by "Hyperledger Fabric" technology for companies to securely transmit and share information using the latest encryption and data storage technologies operating on the model of distributed systems and smart contracts. By presenting unique digital assets as Non-Fungible Tokens (NFT), the infrastructure is able to trust the integrity of the data, while protecting it from counterfeiting. Through the use of a Blockchain-based file storage system known as IPFS, and by connecting all the relevant elements together through a web-based application, it is possible to demonstrate that the implementation of such systems is feasible, highly scalable and a usefu

关键词： blockchain Hyperledger Fabric NFT IPFS Digital Ownership

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Impact of DG integration on Passive Distribution Network 2

Impact of DG integration on Passive Distribution Network

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2nd ieee international conference on Advances in Electrical, computing, Communication and Sustainable Technologies (ieee ICAECT)

作者： Kumar, Gaurav Verma, Rishabh Singh, Diljinder SLIET Dept EIE Longowal Punjab India

ISBN: (纸本)9781665411202

This paper presents the impact of distributed generation (DG) integration on the voltage profile of the radial distribution network. The impact with the integration of the DG is analyzed using a modified power flow technique. The power flow analysis of the passive distribution network is done using the backward-forward sweep method. A novel constant power voltage (PV) DG integration technique is used to simulate reallife power by controlled DGs. This technique is added in the backward-forward sweep method and a modified power flow technique is proposed to reflect the DG integration impact. Simulation is carried out on, 15-bus and 85-bus systems to demonstrate the impact of DGs integration. The voltage profiles are obtained with and without DG integration and results are presented in graphical form.

关键词： Radial distribution network power flow backward-forward sweep distributed generation.

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Robot/UAV Indoor Visual SLAM in Smart Cities Based on Remote Data Processing

Robot/UAV Indoor Visual SLAM in Smart Cities Based on Remote...

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2023 international Russian Smart Industry conference, SmartIndustryCon 2023

作者： Jharko, Elena Mamchenko, Mark Khripunov, Sergey P. V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Laboratory of Distributed Information and Control Systems Moscow Russia V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Laboratory of Cyber-Physical Systems Moscow Russia

ISBN: (纸本)9781665464291

Indoor navigation is a topical issue in the use of robotics and unmanned aerial vehicles (UAVs) in a smart city, especially in the absence/weak signals of satellite navigation. One of the promising solutions of these issues is the use of visual simultaneous localization and mapping (vSLAM) algorithms, and one or more remote data processing servers for localization and map construction of the robots and the UAVs. The paper analyzes the current state of remote vSLAM and gives the requirements of a promising similar framework for UAVs in a smart city. In general, it is possible to distinguish two approaches to remote vSLAM systems for robots/UAVs. The first one implies sending raw data from sensors (video stream) via wireless connection directly to a remote server, which can be used for cloud/fog/edge computing. The second approach involves data pre-processing on the robots/UAVs, with subsequent transmission of data to the remote cloud/fog/edge computing server for further processing, acquiring map keyframes and map updates. The considered approaches, algorithms and solutions are classified by the type and the number of servers used, the maximum number of robotic agents/UAVs, the presence of navigation data fusion, as well as the type of video sensor used. Based on the analysis of existing solutions and vSLAM classification, it is possible to form a set of requirements for promising vSLAM systems for indoor navigation of robots/UAVs, including their camera input, resolution, number of frames per second (FPS), bandwidth, support of wireless standards, channels, and protocols, multi-robot/multi-server support, and time consumption. © 2023 ieee.

关键词： Robots

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