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Harnessing IoT-Powered Fire Detection Systems for Enhanced Security 5th

Harnessing IoT-Powered Fire Detection Systems for Enhanced S...

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5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

作者： Kanagamalliga, S. Aarthi Radha, T.S. Vengadakrishnan, S. Sridhar, R. Adinkrah-Appiah, K. Rajalingam, S. Department of ECE Saveetha Engineering College Chennai602105 India Sunyani Technical University P. O. Box 206 Sunyani Brong-Ahafo Ghana Department of EEE Saveetha Engineering College Chennai602105 India

ISBN: (纸本)9789819718405

the paper delves into the imperative realm of fire safety in light of the increasing incidence of fire-related emergencies. Traditional fire detection systems relying on human intervention are noted for their unreliability and potential for delays. In response to these limitations, this paper explores the emerging landscape of smart fire detection systems empowered by the internet of things (IoT), showcasing their capacity for heightened accuracy and rapid response. the central objective of these IoT-driven systems is to detect fires in real time and promptly alert relevant authorities while taking swift actions, such as activating alarms and sprinkler systems. Employing a spectrum of sensors, including smoke detectors, heat sensors, and flame detectors, connected to a central hub, the system analyzes sensor data to discern fire events and communicates alerts to authorities via various means. the paper also addresses hardware requirements, presenting a block diagram of the proposed system and real-world testing, underscoring its efficacy in diverse environments. Ultimately, this paper emphasizes the role of IoT-based fire detection systems in advancing fire safety and emergency response, with the potential to minimize losses in life and property as IoT technology continues to evolve. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： internet of things

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5th IFIP international Cross-Domain conference on internet of things, IFIPIoT 2022

5th IFIP International Cross-Domain Conference on Internet o...

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5th IFIP international Cross-Domain conference on internet of things, IFIPIoT 2022

ISBN: (纸本)9783031188718

the proceedings contain 20 papers. the special focus in this conference is on internet of things. the topics include: SWIoTA: Anomaly Detection for distributed Ledger technology-Based internet of things (IOTA) Using Sliding Window (SW) Technique;a Framework for the Integration of IoT Components into the Household Digital Twins for Energy Communities;SHPIA: A Low-Cost Multi-purpose Smart Home Platform for Intelligent Applications;a Visible Light Communication System to Support Indoor Guidance;semantic Inferences Towards Smart IoT-Based Systems Actuation Conflicts Management;trade-Off Analysis of Pruning Methods for Compact Neural Networks on Embedded Devices;low-Code internet of things Application Development for Edge Analytics;adaptive Traffic Control Using Cooperative Communication through Visible Light;an Edge computing Approach for Autonomous Vehicle Platooning;PUFchain 3.0: Hardware-Assisted distributed Ledger for Robust Authentication in the internet of Medical things;development of a Smart Insole for Baropodometric and Gait Analysis;On the Optimization of LoRaWAN Gateway Placement in Wide Area Monitoring Systems;Agri-Aid: An Automated and Continuous Farmer Health Monitoring System Using IoMT;a Smart Agriculture Framework to Automatically Track the Spread of Plant Diseases Using Mask Region-Based Convolutional Neural Network;Sensor-Based PUF: A Lightweight Random Number Generator for Resource Constrained IoT Devices;a Logic Programming Approach to Incorporate Access Control in the internet of things;Comprehensive Open-Source SCA Course Modules for Hands-On IoT Security Education;Improving Network Load Using a Cloud-Edge MAS-Based Architecture for Industrial Safety Applications.

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RIFFLE: A distributed Network Operating System with Re-configurability for Multiple Domains 21

RIFFLE: A Distributed Network Operating System with Re-confi...

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21st IEEE international conference on Ubiquitous computing and Communications / 5th IEEE international conference on Data Science and Computational Intelligence / 21st IEEE international conference on Computer and Information technology

作者： Zhou, Boyang Wu, Chunming Chen, Shuangxi Li, Zhen Fan, Hong Intelligent Networks Inst Zhejiang Lab Hangzhou 311100 Peoples R China UCAS Hangzhou Inst Adv Study Sch Intelligent Sci & Technol Hangzhou 310024 Peoples R China Zhejiang Univ Coll Comp Sci & Technol Hangzhou 311127 Peoples R China Jiaxing Key Lab Ind Internet Jiaxing 314036 Peoples R China Res Ctr Intelligent Technol Standardizat Zhejiang Lab Hangzhou 311100 Peoples R China Shanghai Univ Elect Power Dept Elect Engn Shanghai 200090 Peoples R China

ISBN: (纸本)9781665477260

the distributed network control in software-defined networking is greatly challenged by the design demands of evolving a running distributed control plane (DCP), and by the complexity of handling the control state dynamics. In this paper, we propose RIFFLE to address the problem using a distributed network operating system approach. RIFFLE enables the evolvability of control states of DCP deployed on a global scale. RIFFLE handles spatial and temporal dynamics that occur when updating and migrating the distributed control states, which overcomes the critical barrier to the evolvability. It fills the gap by enabling temporal reconfigurability in DCP. Moreover, RIFFLE reduces the complexities of building and maintaining network control services in DCP by enabling componentization and abstracting the underlying network dynamics. We evaluated the prototype RIFFLE through experiments running in PlanetLab. the results show that the prototype scales well for 135 nodes. We also validate that RIFFLE ensures the continuity and low content request delay for the supported the information-centric network supported during cache update periods owing to the enabled evolvability.

关键词： Software-Defined Networking Network Architecture distributed Control Plane

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Energy Efficient Offloading Strategy faced to Edge computing-enhanced distributed Photovoltaic Smart Meter 5

Energy Efficient Offloading Strategy faced to Edge Computing...

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5th international conference on Telecommunications and Communication Engineering, ICTCE 2022

作者： Li, Dejian Cui, Bingrong Li, Kaixin Shen, Tianjun Sun, Yi Chang, Shaonan Laboratory Open Fund of Beijing Smartchip Microelectronics Technology Co.Ltd. China Department of Electrical Engineering North China Electric Power University China

ISBN: (纸本)9781450397797

With the rapid development of Power internet of things and the increase in the number of distributed photovoltaic smart meter (DPSM) technology, edge computing is required to support the low-latency computing service. Current works mainly focus on task offloading, the cooperation among smart meter devices is lack of attention. In order to reduce the task execution delay in of the network, a computing resource sharing architecture based on D2D is proposed. In order to reduce the processing delay and energy consumption of DPSM, we propose a task offloading model faced to DPSM. To minimize the total task execution delay, we formulate a Mixed-Integer Non-Linear Programming (MINLP) problem which optimizing task offloading and resource allocation jointly. then, a generalized Benders decomposition algorithm combined with particle swarm optimization is proposed to solve the problem. Simulation results show that the proposed strategy can effectively improve the measurement efficiency and reduce the computational cost. © 2022 Copyright held by the owner/author(s).

关键词： Smart meters

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Design of distributed Network Mass Data Processing System Based on Cloud computing technology 5

Design of Distributed Network Mass Data Processing System Ba...

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5th international conference on IoT in Social, Mobile, Analytics and Cloud (I-SMAC)

作者： Gong, Fanghai LingNan Inst Technol Guangzhou 510663 Guangdong Peoples R China

ISBN: (纸本)9781665426428

In recent years, the cloud computing industry has developed rapidly, and big data processing technologies have also been maturing. At the same time, the scale of the domestic mobile internet market continues to expand, the number of users has exceeded 100 million, and a huge amount of mobile internet traffic data has been brought. Judging from the current situation of the mobile internet, on the one hand, mobile data traffic has soared, which has brought huge operating pressure to operators, requiring them to invest more funds for network construction and upgrades. this paper conducts an in-depth study on the design of a distributed network massive data processing system based on cloud computing technology.

关键词： distributed Network Mass Data Processing System Cloud computing distributed computing

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Smart Contract Data Monitoring and Visualization 5

Smart Contract Data Monitoring and Visualization

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5th IEEE international conference on Blockchain and Cryptocurrency (ICBC)

作者： Yap, Seng Kuang Dong, Zhongli Toohey, Mark Lee, Young Choon Zomaya, Albert Y. Aglive Res POB 196 Geelong Vic 3220 Australia Univ Sydney Sch Comp Sci Ctr Distributed & High Performance Comp Camperdown NSW 2006 Australia Macquarie Univ Sch Comp Sydney NSW 2109 Australia Univ Nicosia Nicosia Cyprus

ISBN: (纸本)9798350310191

Blockchain technology has attracted significant industry, academic, and governmental attention since its emerged in 2008. Blockchain use cases are now being explored by traditional, transaction-oriented businesses in the finance, insurance, logistics and healthcare sectors to name a few. this has expanded further with the widespread use of internet of things (IoT) devices. Massive amounts of data are generated by IoT devices and are recorded in the blockchain. While blockchain provides many advantages, such as immutability and transparency, its serialized nature makes impossible to read in a single query. Multiple requests are required even for simple tasks, such as displaying an account's transaction history. this further leads to the difficulty i n u nderstanding t he d ata i n the blockchain. In this paper, we address the problem of smart contract visualization in a real-time manner. To this end, we design a visualization dashboard for smart contracts. A visual aid for massive amounts of data helps users understand the blockchain's overall activities, uncover operational risks and provide critical intelligence by visualising unusual activities and connections. Such insights may enable the user to investigate and predict any anomalies or reveal any network vulnerabilities. Cattle farm selected as a use case because the voluminous data can be acquired from IoT sensors on the farm cattle. Our dashboard has been proven to help visualize the life cycle of animals, the distribution of activities and time factor analysis. this visualization can give a user a better perspective of the token functions and results as well as animal management issues.

关键词： Blockchain Ethereum Smart Contract NFT internet of things Supply Chain

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Activity Scheduling Method for Cloud-based Data Centers with Quality Performance Employing References Queues

Activity Scheduling Method for Cloud-based Data Centers with...

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international conference on Smart Systems and Inventive technology (ICSSIT)

作者： G. Visalaxi A. Muthukumaravel Bharath Institute of Higher Education and Research Engineering Chennai

the existing network architecture is enhanced by novel techniques like the cloud computing network because the network technology is advancing rapidly. the cloud computing system is made up of multiple processors and memory, faster networking, and different programming activities that enable it to offer people a variety of facilities through the internet. But, at the same time, most services look for ideal service nodes, and the workloads on every node may not be evenly distributed. the Fitness Scheme Queues Select Instruments and Orientation Queue established Cloud Facility Architecture are designed to support more activities, reduce the time span, and enhance performances. Additionally, work might be split up more equitably to prevent overload.

关键词： Cloud computing Program processors Instruments Voting Web and internet services Computer architecture Programming

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Privacy computing technology in the context of energy internet

Privacy computing technology in the context of energy Intern...

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international conference on Communications, Information System and Computer Engineering (CISCE)

作者： Yue Gong Cuiyun Chen Zhiyu Liu The First Research Institute of the Ministry of Public Security of P.R.C Beijing China

the power system and other energy systems are constantly cross-integrated, and a new development direction of multi-subject collaboration is gradually formed. Starting from the typical mode of energy internet collaborative optimization, this paper puts forward a preliminary technical scheme for energy internet collaborative optimization considering privacy protection. Aiming at the scenario without a third party, this paper proposes a secure multi-party interactive computing scheme based on the principle of secret sharing, and analyzes the specific characteristics of the scheme when applied to a small number of subject scenarios based on the fully distributed application architecture. Finally, from the aspects of data privacy and computing security, the proposed scheme protects the rights and interests of data owners, reduces the risk of data leakage in energy internet collaborative optimization computing, and realizes reliable privacy protection.

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Microservices Containerization in SBCs (Single Board Computers): A Cloud Edge computing Approach 5

Microservices Containerization in SBCs (Single Board Compute...

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5th Artificial Intelligence and Cloud computing conference, AICCC 2022

作者： Dahi, Othmane Aboulfoujja, Maryem Akiour, Mohammed Elbouardi, Bilal Choukri, Anass Abid, Mohamed Riduan School of Science and Engineering Alakhawayn University in Ifrane Morocco TSYS School of Computer Science Columbus State University GA United States

ISBN: (纸本)9781450398749

With the recent and unprecedented increase in demand for Cloud services, furtherly promoted by 5G, Edge computing is emerging as an indispensable technology. Tailored to mitigate the continuously growing load on Cloud data centers and cope with the rising proliferation of IoT (internet of things), Single Board Computers (SBCs), embedded systems, and microservices-based applications, edge computing is turning into an integral technology enabler in 5G. Arguably, most of edge microservices will be deployed using virtualization, and specifically using containers instead of VMs (Virtual Machines). Dubbed 5G-MEC (Multi-Access Edge computing), the 5G edge has to cope with 3 major services: eMBB (enhanced Mobile Broadband), mMTC (Massive Machine Type Communication), and URLLC (Ultra Reliable Low Latency Communication). In this paper, we shed further light on the fundamentals of cloud edge computing and present the subtleties of deploying a real-world SBC-based distributed edge application. the latter is an AI-based application, embedding an image recognition microservice running in containers, deployed in Raspberry PI SBCs, and orchestrated using Kubernetes. © 2022 ACM.

关键词： Edge computing

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the Application of Edge computing in the Operation Control of Integrated Energy Systems

The Application of Edge Computing in the Operation Control o...

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Clean Energy and Electric Power Engineering (ICCEPE), international conference on

作者： Yuqiang Yang Lei Li Qiming Zhao Pengfei Lu Marketing Department State Grid Zhejiang Electric Power Company LTD. Hangzhou China

ISBN: (数字)9798350390315

ISBN: (纸本)9798350390322

With the development of new technologies such as big data, cloud computing, internet of things, mobile internet, and artificial intelligence, the connotation of integrated energy services continues to expand. Integrated energy system services have many management objects, handle a large amount of data, and have high privacy and security requirements. the traditional centralized cloud computing architecture is difficult to meet the application requirements. the distributed edge computing technology provides a new idea to solve this problem. Starting from the actual business requirements, the difficulties and challenges faced by the operation control of the integrated energy system are analyzed, and a hierarchical collaborative control architecture of the integrated energy system based on the internet of things is constructed. the applicability and value points of edge computing technology are analyzed from the four levels of the perception layer, network layer, platform layer, and application layer. then, taking the industrial park as an example, a regional integrated energy system operation control model and solution method based on multilateral collaboration are proposed. Finally, the application prospects of edge computing in integrated energy services are prospected.

关键词： Cloud computing Computational modeling Systems operation Collaboration Computer architecture Systems modeling internet of things Security Edge computing Business

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