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检索条件"任意字段=6th International Conference on Distributed Computing and Internet Technology"

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Analysis of Gesture based Control System in Infotainment of Hybrid Car using internet of things 6

Analysis of Gesture based Control System in Infotainment of ...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Kumar, Vinoth K. Purohit, Reena Vidhya, K. Aravinda, K. Purohith, T.A. Aruni Badigar, Vinay V. Ghalagi, Nikhita G. Rame, Neiphretuonuo Department of EEE New Horizon College of Engineering Bengaluru India Department of BCA New Horizon College Marathahalli Bengaluru India Department of EEE Velammal Engineering College Chennai India Department of ECE New Horizon College of Engineering Bengaluru India

ISBN: (纸本)9798331522667

Using numerous devices while driving causes drivers to lose focus on the road, contributing to accidents in about one-third of cases. To address this issue, significant research is focused on developing interfaces between humans and machines that enable drivers to control automobile electronics without becoming distracted. this research study presents a complete system that enables control of infotainment systems through hand gestures. the proposed system utilizes the car's roof is equipped with a visible-infrared camera that focuses on the shift stick area and integrates both new and algorithms for computer vision. Using a real car and a car simulator, 23 individuals participated in the testing. According to the findings, people marginally prefer this gesture-based method over the touch-screen interface is similar. © 2025 IEEE.

关键词： Touch screens

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Semi-asynchronous federation optimization method based on buffer pre-aggregation 24

Semi-asynchronous federation optimization method based on bu...

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5th international conference on computing, Networks and internet of things (CNIOT)

作者： Chen, Yimi Zheng, Xianghan Zhan, Yichen Fuzhou Univ Fuzhou Peoples R China Univ Sanya Sanya Peoples R China Fujian Petrochem Ind Design Inst Co Ltd Fuzhou Peoples R China

ISBN: (纸本)9798400716751

As a distributed machine learning framework, federated learning has received considerable attention in recent years and has been researched and applied in various scenarios. However, the system heterogeneity due to the physical characteristics of various terminal devices has led to the straggler effect, making the practical implementation of federated learning challenging. therefore, we propose a semi-asynchronous federated optimization method based on buffer pre-aggregation. this method allows every participant to engage in training through pre-aggregation and establishes a training time framework based on the pre-aggregation time. It updates the model adaptively using a semi-asynchronous communication method combined with lag factors, improving communication efficiency while maintaining stable accuracy. Experimental results on datasets demonstrate that our proposed method can effectively accelerate the training process of federated learning compared to existing federated optimization methods.

关键词： Federated Learning Semi-Asynchronous Communication distributed Machine Learning

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LoRa-Based Environmental Monitoring System for Commercial Farming 19

LoRa-Based Environmental Monitoring System for Commercial Fa...

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19th Annual international conference on distributed computing in Smart Systems and the internet of things, DCOSS-IoT 2023

作者： Anastasiou, A. Zinonos, Z. Georgiades, M. Department of Computer Science Cyprus

ISBN: (纸本)9798350346497

LoRa technology has shown to be a very promising option for implementing a variety of internet of things applications. One such application is the private farming remote monitoring. In this paper, the authors present a LoRa-based pilot that employs sensing devices across a private farming area to measure environmental conditions such as temperature and humidity. Using the pilot, the authors carried out field experiments with different protocol configurations to measure the performance of LoRa technology under realistic conditions. the results shown that the protocol configurations have severe impact on the performance of the pilot. Moreover, external parameters like the temperature and the field obstacles can affect the behaviour of the pilot. © 2023 IEEE.

关键词： internet of things

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Attribute-based Encryption with Flexible Revocation for IoV 18

Attribute-based Encryption with Flexible Revocation for IoV

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18th international conference on Future Networks and Communications (FNC) / 20th international conference on Mobile Systems and Pervasive computing (MobiSPC) / 13th international conference on Sustainable Energy Information technology (SEIT)

作者： Chen, Ruoyu Li, Yuhong Rahmani, Rahim Beijing Univ Posts & Telecommun Sch Comp Sci Beijing 100876 Peoples R China Stockholm Univ Dept Comp & Syst Sci S-16407 Stockholm Sweden

Attribute-based encryption (ABE) has been used to provide data confidentiality and fine-grained access control in the internet of Vehicles (IoV). However, the attributes of vehicles in IoV might change frequently due to the movements of vehicles. thus, the invalid attributes need to be revoked in time and efficiently to ensure the security of the system. In this paper, we propose a data sharing scheme based on ABE for IoV. By using a binary tree and attribute version keys, flexible revocation can be achieved for IoV. Moreover, the ciphertext can be stored on clouds, and the distribution and of attribute keys can be realized by distributed attribute authorities. We performed the security analysis and proved the security of the proposed scheme. the results showed that the proposed scheme has lower average computing overhead in terms of attribute revocations compared with other schemes based on ABE, and can satisfy the performance requirement data sharing for IoV. (c) 2023 the Authors. Published by Elsevier B.V.

关键词： internet of vehicles attribute-based encryption revocation data sharing

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Optimal Design of Heliostat Field Using Random Search Algorithm 6

Optimal Design of Heliostat Field Using Random Search Algori...

引用

6th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2024

作者： Mou, Chenglin Wu, Kaiqi Du, Pengcheng Yang, Kaibo School of Civil Engineering and Architecture Henan University of Science and Technology Department of Engineering Mechanics Luoyang471099 China School of Information Engineering Henan University of Science and Technology Department of Computer Science and Technology Luoyang471099 China School of Information Engineering Henan University of Science and Technology Department of Automation Luoyang471099 China School of International Education Henan University of Science and Technology Department of Civil Engineering Luoyang471099 China

ISBN: (纸本)9798350374315

Tower solar thermal power generation is a new type of low-carbon and environmentally friendly clean energy technology. In this paper, a single-objective optimization model is established with the maximum annual average thermal output per unit mirror area of the heliostat field as the objective function. By optimizing the heliostat width, heliostat height and heliostat coordinate, the annual average output thermal power can be maximized while meeting the rated power. the heliostat field is distributed in a circular shape. As the seasons change, the light intensity received by the heliostat field is uneven, so the optical efficiency of the heliostats is also different. We simplify the heliostat field into S area (area with higher optical efficiency) and W area (area with lower optical efficiency) based on the optical efficiency distribution of heliostats. At different locations, According to the heliostat width, heliostat height and heliostat coordinate generated by random functions, substituting these parameters into the efficiency model in this paper, and the random search algorithm is used to traverse the maximum annual output thermal power and the corresponding heliostat parameters. In the shadow occlusion loss model, we have grid to set up the heliostat and use the coordinate conversion to solve the shadow occlusion loss efficiency. © 2024 IEEE.

关键词： Heliostats (instruments)

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CF-DLTrack:A Hybrid Object Tracking Approach Combining Correlation Filter and Deep Learning 6

CF-DLTrack:A Hybrid Object Tracking Approach Combining Corre...

引用

6th international conference on internet of things, Automation and Artificial Intelligence, IoTAAI 2024

作者： Liu, Xuexin Zou, Zhuojun Tian, Shuai Lv, Zhifeng Li, Shun Hao, Jie Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing China Guangdong Institute of Artificial Intelligence and Advanced Computing Guangzhou China

ISBN: (纸本)9798350386974

Object tracking is a crucial field in computer vision, with significant applications in areas like drone operation and intelligent driving, where real-time performance and high accuracy are essential. Conventional correlation filter trackers offer good real-time performance but have limited accuracy due to inadequate feature extraction. Conversely, deep learning trackers achieve higher accuracy through advanced features but operate at slower speeds. To overcome these issues, we propose a hybrid tracking approach that combines deep learning with correlation filtering. the deep learning tracker supervises the correlation filter tracker, balancing real-time performance and accuracy through a non-equal frame fusion strategy. Extensive testing on OTB100, NFS30, UAV123, and GOT10K datasets confirms that our hybrid tracker significantly enhances speed while maintaining high accuracy, making it ideal for applications that demand quick and precise tracking. © 2024 IEEE.

关键词： Contrastive Learning

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6th EAI international conference on Big Data Innovation for Sustainable Cognitive computing, BDCC 2023

6th EAI International Conference on Big Data Innovation for ...

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6th EAI international conference on Big Data Innovation for Sustainable Cognitive computing, BDCC 2023

ISBN: (纸本)9783031546952

the proceedings contain 13 papers. the special focus in this conference is on Big Data Innovation for Sustainable Cognitive computing . the topics include: Integrating Fuzzy Logic and Deep Learning for Effective Network Attack Detection with Fuzzified Deep Convolutional Neural Network;evolvable Hardware Using Genetic Algorithm;zero Watermarking and Data Authentication;gender-Based Differences in Demographic and Time Domain Pulse Rate Variability Parameters in Association with Type2 Diabetic;symbiotic Organism Search: A Novel Paradigm for Feature Optimization in Finger Vein Recognition Systems;Streamlining KYC Processes for Banks with Centralized Information Repository Using Design thinking;transforming Agriculture through internet of things;anti-theft System Using Structural Similarity;Analysis and Prediction of CO2 Emissions, Energy Use, and Economic Growth Trilemma in India;Cardless ATM Transaction System.

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An Advanced IoT-Based Architecture for Healthcare Systems: A Focus on Blockchain-based Edge computing for Diabetes Management 23

An Advanced IoT-Based Architecture for Healthcare Systems: A...

引用

6th international conference on Networking, Intelligent Systems and Security, NISS 2023

作者： Tlemçani, Khadija Jai Andaloussi, Said Azbeg, Kebira Ouchetto, Ouail Fetjah, Laila Department of Mathematics and Computer University Hassan Ii Casablanca Morocco

ISBN: (纸本)9798400700194

the healthcare industry has undergone a significant transformation with the emergence of internet of things (IoT) technology. Various computing paradigms, including cloud computing, fog computing, and edge computing, have emerged to address challenges in processing, storing, and analyzing data in modern systems. this paper proposes an advanced architecture for healthcare systems based on our research team's previous work. Our research focuses on developing a smart healthcare system to assist diabetes patients in managing their illness. Our novel architecture builds on the previous one, which included blockchain with IoT, by incorporating a blockchain-based edge layer to address scalability and security challenges that were previously encountered. © 2023 ACM.

关键词： internet of things

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Socially Aware Multi-Resource Trading for IoT Applications in Smart Cities using Auction theory 6

Socially Aware Multi-Resource Trading for IoT Applications i...

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6th conference on Cloud and internet of things (CIoT)

作者： Ranjbaran, Sara Jafari, Amir Reza Crespi, Noel Aalto Univ Espoo Finland Inst Polytech Paris Samovar Telecom SudParis F-91120 Palaiseau France

ISBN: (纸本)9798350396690

the availability of a large number of devices in the internet of things (IoT) allows us to carry out distributed applications in a collaborative fashion. this approach is especially beneficial in smart city scenarios, wherein different types of resources (i.e., for sensing and actuation, in addition to computation and storage) are key to providing effective location-based services. this article addresses sharing heterogeneous resources for IoT applications in smart cities. Specifically, it takes a game-theoretic approach and addresses the problem of allocating resources from different devices as a combinatorial double auction. Features specific to IoT devices, including their affinity (e.g., ownership and co-location), are leveraged to form groups that offer resource bundles with a certain reliability. the proposed solution incurs a low computational complexity and achieves several important economic properties: incentive compatibility, individual rationality, and a balanced budget. Simulations based on a large-scale dataset demonstrate that the combinatorial double auction is effective and can be completed in a short time.

关键词： Resource sharing combinatorial auction double auction internet of things fog computing smart cities

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(POSTER) Resolving the Decreased Rank Attack in RPL's IoT Networks 19

(POSTER) Resolving the Decreased Rank Attack in RPL's IoT Ne...

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19th Annual international conference on distributed computing in Smart Systems and the internet of things, DCOSS-IoT 2023

作者： Ghaleb, B. Al-Dubai, A. Hussain, A. Ahmad, J. Romdhani, I. Jaroucheh, Z. School of Computing Edinburgh Napier Univesity Edinburgh United Kingdom

ISBN: (纸本)9798350346497

the Routing Protocol for Low power and Lossy networks (RPL) has been developed by the internet Engineering Task Force (IETF) standardization body to serve as a part of the 6LoWPAN (IPv6 over Low-Power Wireless Personal Area Networks) standard, a core communication technology for the internet of things (IoT) networks. RPL organizes its network in the form of a tree-like structure where a node is configured as the root of the tree while others integrate themselves into that structure based on their relative distance. A value called the Rank is used to define each node's relative position and it is used by other nodes to take their routing decisions. A malicious node can illegitimately claim a closer position to the root by advertising a lower rank value trapping other nodes to forward their traffic through that malicious node. In this study, we show how this behavior can have a detrimental side effect on the network via extensive simulations and propose a new secure objective function to prevent such an attack. © 2023 IEEE.

关键词： internet of things

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