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检索条件"任意字段=5th International Conference on Distributed Computing and Internet Technologies"

共 3957 条记录，以下是31-40 订阅

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Energy-Efficient Autism Spectrum Disorder Data Collection Mechanism using Wireless Sensor Networks and internet-of-things 5

Energy-Efficient Autism Spectrum Disorder Data Collection Me...

引用

5th IEEE international conference on Advances in Electrical, computing, Communication and Sustainable technologies, ICAECT 2025

作者： Vijaya Shetty, S. Srujana, S.N. Naidu, P. Ramesh Neeli, Jyoti Sarojadevi, H. Prakash, Ramya Nitte Meenakshi Institute of Technology Department of Computer Science and Engineering Karnataka Bengaluru India

ISBN: (纸本)9798350356236

A patient's cognitive health may be better assessed using smart monitoring and assisted living technologies. Social skills, repetitive habits, verbal and nonverbal communication, and adjusting to new environments are among the challenges children on the autism spectrum face. Because of their reduced cognitive capacities, children with autism spectrum disorder (ASD) present a significant public health challenge because it is difficult to comprehend their feelings. the main purpose of this research is to assist autistic newborns in adapting to their environment via internet-of-things (IoT) technologies and wireless sensor networks. the study indicates an internet of things (IoT)-WSNs system for data collection, using an energy-efficient cluster-based routing optimization (EECRO) method that sends data to an IoT gateway server as quickly as possible, allowing the guardian to access the data in real-time. the simulation outcome indicates the EECRO can significantly reduce energy consumption to deliver messages from autistic children to their guardians. © 2025 IEEE.

关键词： Assisted living

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Load Balancing Techniques in Fog and Edge computing: Issues and Challenges 5

Load Balancing Techniques in Fog and Edge Computing: Issues ...

引用

5th IEEE international conference on computing, Power, and Communication technologies, IC2PCT 2024

作者： Deepak Upadhyay, Manoj Kumar Alam, Mahfooz Institute of Engineering & Technology Dr. B. R. Ambedkar University Department of Computer Science Khandari UP Agra India Aligarh Muslim University Department of Computer Science UP Aligarh India

ISBN: (纸本)9798350383522

Fog and edge computing are now important considerations in the internet of things (IoT) and Industry 4.0 era to meet the growing demand for high throughput, low latency, and minimal makespan processing applications these methods allocate computing resources near data sources. Real-time processing is optimized and network congestion is reduced. Equitable load distribution is a very important issue in dark and edge computing environments. However, the implementation of effective load balancing in foggy environments presents unique challenges due to the dynamic and heterogeneous behavior of the system this paper explores the issues and challenges of balancing loads want about in floodplain estimates and current methods as well as in probability. It provides a comprehensive comparison and solution analysis. © 2024 IEEE.

关键词： Edge computing Fog computing internet of things Load Balancing Low Latency

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A Review and threat Analysis of Machine Learning in Relation to Fog and Edge computing 5

A Review and Threat Analysis of Machine Learning in Relation...

引用

5th international conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Bharadwaj, Chinmoy Ul Islam, Atowar Bharadwaj, Sippee Sarma, Priyanka University of Science and Technology Department of Computer Science Meghalaya India International School of Business and Research Department of Business Analytics Bengaluru India

ISBN: (纸本)9798350379945

Traditional centralized cloud computing is having considerable issues due to the rapid proliferation of mobile internet and internet of things applications. these issues include data transfer delays, low efficiency in exploiting available spectrum, and connectivity that is inflexible based on machine type. Driven by the need to overcome these challenges, a new technology is prompting a change in the role of centralized cloud computing to edge devices within networks. Driven by the need to overcome these challenges, a revolutionary technology is prompting a change in the role of centralized cloud computing to edge devices within the networks. Edge computing systems have emerged from a variety of sources, with the goal of reducing latency, improving SE (security and efficiency), and enabling wide connectivity among devices. Given the broad growth and advancement of cloud technologies, the existing cloud computing model is insufficient to address the critical needs for providing services to applications such as smart grid, healthcare systems, and augmented reality. these specifications include low latency, mobility support, and context awareness. Fog and edge computing have developed as technologies that meet these requirements while providing great performance and dependability. Machine learning entails detecting many characteristics such as automated procedures, increased decision support, and diagnostic capabilities within operational settings. this study exposes previous research that focuses on diverse applications of machine learning, identifying potential hazards, and developing solutions for the edge paradigm as a whole. It also underlines the outstanding issues and challenges that may remain in the coming decades. © 2024 IEEE.

关键词： Cloud platforms

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Privacy computing technology in the context of energy internet 5

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

引用

5th international conference on Communications, Information System and Computer Engineering, CISCE 2023

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

ISBN: (纸本)9798350326796

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. © 2023 IEEE.

关键词： Data privacy

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Requirements, technologies, Applications and Challenges of 6G Communication: A Review 5

Requirements, Technologies, Applications and Challenges of 6...

引用

5th IEEE international conference on computing, Power, and Communication technologies, IC2PCT 2024

作者： Singh, Gambhir Verma, Indradeep Bhardwaj, Shivam Sharma, Rohit Ahmed, Waseem Department of CSE-IoT UP Greater Noida India

ISBN: (纸本)9798350383522

With the advent of internet & wireless network connectivity, the data usage has increased very rapidly in the past few years. Fourth-gen (4G) internet communication is still in scaling period but 5G is been rolled out in few countries. Now with almost 8-billion people on planet, AI, ML, and other technologies are in greater demand. the search for 6G has already began and is thought to be deployed worldwide soon. With more & more research in this area, the speed of internet is ultra-fast and with 6thGen it will be even faster. the 6G will revolutionize the IT & Technology industry in less than a decade from now. Nevertheless, there are some underlying challenges that occur with more speed and need to be resolved before providing it to masses. the issues are higher losses for small distance, lower latency, more system capacity etc. this paper helps in understanding the goal of 6thGen wireless network communication in future and its network's structure. Below we have described those new budding technologies like artificial intelligence, virtual reality, automated cars, block chain, three-dimensional networking, quantum communication, cloud computing, information transfer, remote access and analyzing big data that will help the 6G internet communication architecture development with the guaranteed transfer-rate we aim to achieve. All other technologies are also heighted alongside the expected applications of 6th Gen network communication. We have highlighted the hidden agendas and research related problems for attaining this target. © 2024 IEEE.

关键词： 5G network 6G network wireless connectivity

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Intelligent Communication System for Poultry Manufacturing 5

Intelligent Communication System for Poultry Manufacturing

引用

5th international conference on Information Science, Parallel and distributed Systems, ISPDS 2024

作者： Leong, Wai Yie Leong, Yuan Zhi Leong, Wai San Inti International University Persiaran Perdana Bbn Putra Nilai Negeri Sembilan Nilai71800 Malaysia Schneider Electric Singapore Kallang Singapore

ISBN: (纸本)9798350352719

this paper presents an overview of the design and implementation of an intelligent communication system tailored for poultry manufacturing. the proposed system integrates various technologies such as internet of things (IoT), big data analytics, machine learning, and automation to optimize production processes, ensure animal welfare, and improve overall efficiency. By leveraging real-time data collection, analysis, and decision support, the system empowers poultry farmers with actionable insights for better management and decision-making. Additionally, remote monitoring and management capabilities enable farmers to access critical information and control systems from anywhere, enhancing operational flexibility and responsiveness. the paper discusses the key components of the system, its potential benefits, and challenges associated with its deployment. Furthermore, it highlights relevant research studies and references contributing to the development and advancement of intelligent communication systems in poultry manufacturing. © 2024 IEEE.

关键词： Smart manufacturing

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A Comparative Study on Association Rule Mining in distributed Data Mining 5

A Comparative Study on Association Rule Mining in Distribute...

引用

5th IEEE international conference on computing, Power, and Communication technologies, IC2PCT 2024

作者： Waseem, Mohammad Abidin, Shafiqul Aligarh Muslim University Department of Computer Science Aligarh India

ISBN: (纸本)9798350383522

Association rule mining (ARM) is a data mining approach used to identify interesting relationships and patterns in massive datasets. Its objective is to categories associations between various items or variables based on their co-occurrence in the dataset. the fundamental idea behind ARM is to find hidden patterns that can provide important information for prediction, decision-making, and other data analysis tasks. With the rise of big data and the proliferation of distributed computing platforms, there is a need to investigate and compare various methods for doing association rule mining in remote datasets. this paper provides a complete comparative analysis of ARM algorithms and methodologies in distributed systems. We examine the scalability, performance, and efficiency of many cutting-edge algorithms, emphasizing their strengths, limits, and applicability to various types of distributed datasets. this work also provides insights into the present landscape of association rule mining in remote datasets, as well as help researchers and practitioners choose the best algorithms for their particular needs. © 2024 IEEE.

关键词： association rule mining big data Data mining DDM distributed datasets efficiency performance scalability

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Ensemble-based Cyber Intrusion Detection for Robust Smart City Protection 20

Ensemble-based Cyber Intrusion Detection for Robust Smart Ci...

引用

20th Annual international conference on distributed computing in Smart Sensor Systems and the internet of things (DCOSS-IoT)

作者： Alhowaide, Alaa Alsmadi, Izzat Alsinglawi, Belal Mem Univ Newfoundland Fac Sci Comp Sci St John NL Canada Texas A&M Comp Engn & Math Sci San Antonio TX USA Zayed Univ Computat Syst Abu Dhabi U Arab Emirates

ISBN: (纸本)9798350369458;9798350369441

the rapid rise of 5G networks has accelerated the integration of smart cities, marking the emergence of increased intelligence in urban environments, often referred to as Smart Cities. this swift integration has interconnected a wide range of devices and systems, thereby exposing them to potential vulnerabilities. As a result, a smart urban landscape has emerged where valuable and sensitive information is shared without adequate attention to security considerations. Given these challenges, it is essential to implement an effective cloud-based Intrusion Detection System (IDS) for the security of smart cities. this work examines the reliability and robustness of various ensemble learning models, focusing on evaluating the performance and efficiency of an IDS strategy based on machine learning to enhance the security of IoT in smart urban networks. We conducted experimental procedures on three commonly used datasets to achieve the objectives of our study. the results obtained from these procedures are crucial for developing practical IDS solutions that address the ever-changing challenges posed by diverse, smart, cloud-based network traffic systems in smart cities.

关键词： Intrusion Detection Systems Machine Learning internet of things Network Security Smart Cities

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Energy-Efficient Clustering Strategies for IoT Applications using Z-Sep Approach 5

Energy-Efficient Clustering Strategies for IoT Applications ...

引用

5th IEEE international conference on computing, Power, and Communication technologies, IC2PCT 2024

作者： Zinyongo, Daniel Kumar, Sandeep Goyal, Mayank Kumar Sharda University Dept. of Cse Greater Noida India

ISBN: (纸本)9798350383522

Connecting different items and devices over the internet is a novel and fascinating idea in wireless communication. Despite the widespread use of WSNs, energy usage still remains a challenge. Energy management is vital to ensuring an efficient and economical deployment of WSNs. this study presents a life prolonging clustering mechanism entitled Regional Stable Election Protocol (R-SEP) for WSNs which aims at energy management as a major concern. An evaluation of the R-SEP was conducted and the approach greatly enhances energy efficiency, network lifetime, and throughput. An analysis of results was conducted against the LEACH and Z-SEP protocols. R-SEP shows an improvement in many aspects when energy efficiency and performance of WSNs is concerned. © 2024 IEEE.

关键词： Energy Efficiency internet of things LEACH Sensor Node Stable Electronic Protocol Wireless sensor Network

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Exploring the Potential of IoT and Advanced technologies for Smart and Sustainable Living 5

Exploring the Potential of IoT and Advanced Technologies for...

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5th IEEE international conference on Advances in computing, Communication Control and Networking, ICAC3N 2023

作者： Dahiya, Ruby Singh, Diwakar Pratap, Vishwas Parween, Nazia Galgotias University Scse India

ISBN: (纸本)9798350330861

the internet of things (IoT) and other advanced guard technologies have the potential to lead to a more intelligent and sustainable way of life, which is the focus of this paper on sustainable living and IOT Security. We can optimise energy consumption, improve healthcare, reorganise transportation, and boost general well-being by connecting a variety of appliances and devices to the internet. But there is a challenge that must be solved in order to deploy these technologies in a safe and responsible way. the most promising IoT and advanced technology applications currently under development are examined in this paper, along with the obstacles that must be overcome before they can be deployed safely and responsibly. Secure and responsible implementation of IoT is needed. the increased connectivity of devices and appliances creates new cybersecurity risks, therefore this paper discusses the gravity of data privacy and security. Compute the potential economic conclusion is also taken into account. © 2023 IEEE.

关键词： internet of things

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