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检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

共 195356 条记录，以下是221-230 订阅

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Mobile-Aware Placement: Optimizing Energy Consumption and Delay of Data Stream Applications in Edge computing 4

Mobile-Aware Placement: Optimizing Energy Consumption and De...

引用

4th international conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Jin, Pengcheng Wu, Yi Huang, Jingyu Ji, Ying Software Technology Co. Ltd. Jiangsu Suzhou China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

With the rapid development of 5G and IoT, traditional cloud computing faces limitations due to increasing demands. Edge computing addresses these issues by offloading tasks to nearby nodes, thereby improving efficiency and user experience for latency-sensitive applications such as live video and autonomous driving. However, balancing energy consumption and latency in heterogeneous edge devices remains a challenge, particularly as previous studies often overlook user mobility. In this work, we tackle the problem of data stream processing (DSP) task placement within dynamic user mobility scenarios, addressing the challenges posed by frequent movement. Additionally, we introduce a reinforcement learning approach to enhance the adaptability of DSP tasks, allowing the system to effectively adjust to changing user mobility patterns. Through simulation experiments, it is verified that compared with the traditional method, the algorithm proposed in this paper effectively optimizes energy consumption and delay while considering the mobility attributes, and improves the utilization rate of each edge node. © 2025 SPIE.

关键词： Mobile edge computing

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Faster Set Cover in the MPC Model 25

Faster Set Cover in the MPC Model

引用

26th international conference on Distributed computing and Networking, ICDCN 2025

作者： Ji, Hongyan Pai, Shreyas Pemmaraju, Sriram Sobel, Joshua The University of Iowa Iowa CityIA United States Indian Institute of Technology Madras Chennai India

ISBN: (纸本)9798400710629

The Massively Parallel Computation (MPC) model is a popular abstraction for large-scale distributed computing. The Set Cover problem is a classical combinatorial optimization problem that has a wide variety of applications and generalizes many well-studied problems such as vertex cover, edge cover, and minimum dominating set. For a Set Cover instance with a ground set of n elements and a collection of m sets, we present two O(log n)-approximation algorithms in the MPC model. Our algorithms run in -rounds in the linear-memory MPC model and in rounds in the sublinear-memory MPC model, where N = n + m. These are the first O(log n)-approximation algorithms for Set Cover in this setting that run in o(log2N) rounds. Our results are obtained by repurposing the sparsified graph exponentiation technique that has been successful for the maximal independent set problem in the MPC model and applying it to a simple, distributed Set Cover algorithm by Grunau, Mitrović, Rubinfeld, and Vakilian (SODA 2020). © 2025 Copyright held by the owner/author(s).

关键词： Combinatorial optimization

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A Study on Hardware-based Implementation of Homomorphic Encryption 3

A Study on Hardware-based Implementation of Homomorphic Encr...

引用

3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Singh, Gurdeep Mittal, Sonam Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798331515911

Homomorphic encryption is an innovative cryptographic mechanism that allows performing cryptographic operations even on encoded data without intermediate decoding. As a result, sensitive information cannot be compromised in case of dealing with outsourcing services. This article firstly provides the general background of HE and most notably discusses the types of HE such as partial homomorphic encryption, somewhat homomorphic encryption, and fully homomorphic encryption Each of these types has its advantages on drawbacks depending on the type of operations and the level of computation efficiency. The paper also considers research undertaken recently oriented towards increasing the feasibility of HE by all means, especially the lowering of the costs in computation. A comparative analysis matrix contains distinctive features of various approaches in HE and defines their complexity, security, and usability concerns. This and further surveys present the HE history and its above- and below-the-line progress and suggest paths for HE-morphed developmental works for applications such as cloud computing and machine learning that are inherently privacy-preserving. © 2025 IEEE.

关键词： Differential privacy

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Forecasting Net Profit in Artificial Mussel Farming Through Linear Regression Analysis 6

Forecasting Net Profit in Artificial Mussel Farming Through ...

引用

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

作者： Roshan Ackthar, M.J. Hema Vardhan, K. Abhilash, K. Saketh, R.M.V.S. Sundarrajan, R. Dept. Information Technology Kalasalingam Academy of Research and Education College Tamil Nadu Krishnankoil India

ISBN: (纸本)9798331522667

The idea of controlling muscular income loss is critical towards optimum performance and provides an assurance of efficient growth in the aquaculture sector. This study investigates factors determining net profit such as production cost, market prices, environmental aspects and technological advancements. With the help of statistical models, we evaluate the role of supply-demand situations as well as seasonal and climatic variations in the context of impact on profit margins. © 2025 IEEE.

关键词： Aquaculture

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Blockchain-based secure crowdsourcing scheme to support solution reuse 4

Blockchain-based secure crowdsourcing scheme to support solu...

引用

4th international conference on Network Communication and information Security, ICNCIS 2024

作者： Zhang, Yitong Cui, Wenxuan Miao, Jianchen Xi'an Aviation Computing Technology Research Institute Shaanxi Xian710065 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

Crowdsourcing is a way to solve complex tasks by publicly collecting solutions on the network. The crowdsourcing system that provides task completion and solution reuse facilitates human life and promotes economic development. With the rise of blockchain technology, it is possible to design and implement a decentralized crowdsourcing scheme. However, due to the nature of data sharing on the blockchain, there are many challenges in the blockchain-based crowdsourcing scheme. In this paper, we first classify the required properties of blockchain-based decentralized crowdsourcing scheme including fairness, reusability and integrity. And then we propose a novel blockchain-based secure crowdsourcing scheme to support solution reuse using the Pedersen commitment, Paillier cryptosystem, secure hash function and Diffie-Hellman key exchange. The security analysis shows that our scheme satisfies the above requirements. Finally, we simulated the crowdsourcing task that may exist in the real world and evaluated the experimental results. © 2025 SPIE.

关键词： Blockchain Defense and security Chemical elements Design Systems modeling Silicon Computer security information security Symmetric key encryption Windows

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Developing Critical Thinking Skills in Undergraduate Students: A Mapping Study in computing Education 17

Developing Critical Thinking Skills in Undergraduate Student...

引用

17th international conference on Computer Supported Education, CSEDU 2025

作者： de Andrade Mota, Davy dos Santos, Simone C. Informatic Center Federal University of Pernambuco Pernambuco Recife Brazil

ISBN: (纸本)9789897587467

In the dynamic context of the digital age, academic training in information technology (IT) transcends the mere assimilation of theoretical knowledge, equally requiring the promotion of critical thinking among students. From this perspective, this research proposes a literary approach dedicated to investigating and analysing effective strategies for developing and stimulating critical thinking in IT students. In an environment where technology advances rapidly, it is crucial to equip future professionals in this field not only with solid technical knowledge but also with the intrinsic ability to critically analyse information and conceive innovative solutions in the face of emerging challenges. Thus, this study is motivated by the following research question: "How to develop critical thinking skills in IT undergraduate students?". To conduct this investigation, Kitchenham's systematic mapping studies method and the ChatGPT 4.0 version tool were used as instruments for formatting the extracted data, and visually, generating the charts and graphs. From 72 studies, the main highlighted results were observed, which reference the primary teaching methodologies and frameworks used, the benefits and limitations of these methods, as well as relevant information for understanding the courses in which these methods were applied, class sizes, course durations, and levels of education. Copyright © 2025 by SCITEPRESS - Science and technology Publications, Lda.

关键词： Students

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Real-Time Oil Spill Detection and Analysis Using Drones and SAR Imaging Techniques 5

Real-Time Oil Spill Detection and Analysis Using Drones and ...

引用

5th international conference on Emerging Systems and Intelligent computing, ESIC 2025

作者： Jagtap, Gaurav More, Harsh Khure, Siddhi Deshmukh, Sayli Mirajkar, Riddhi Futane, Pravin Vishwakarma Institute of Information Technology Department of Information Technology Pune411046 India

ISBN: (纸本)9798331522100

Oil spills are considerable environmental and economic threats to marine ecosystems. Source: Our idea describes a drone-based approach to provide real time detection and monitoring of oil spills in water bodies. A drone mounted camera is used to capture live footage which is processed in greyscale to identify oil spills: oil and water are distinguished based on the intensity of the pixels. Users have a toggle feature to switch between greyscale and normal video views for accurate verification. The system also includes Synthetic Aperture Radar (SAR) imaging analysis to identify dark grey regions associated with oil presence and detailed information about the spill location and volume. Integration of these techniques can increase the efficiency of environmental monitoring through real time detection by shortening response times. This technology helps save early marine ecosystems by preventing the adverse effects of oil spills on the environment © 2025 IEEE.

关键词： Ecosystems

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Weak Signal Detection technology in Big Data Based on Knowledge Base 24

Weak Signal Detection Technology in Big Data Based on Knowle...

引用

2nd international conference on Advances in Artificial Intelligence and Applications, AAIA 2024

作者： Zhou, Lei School of Cixi Zhejiang Business Technology Institute Ningbo China

ISBN: (纸本)9798400712883

With the development of science and technology and the progress of data processing technology, big data weak signal detection is playing an increasingly important role in scientific research and engineering application. However, the existing detection systems face three main challenges: high false alarm rate and redundant information problems, difficulty in identifying multi-target dispersed homologous signals, and complex signal detection problems with spatio-temporal dispersion. To solve these problems, this paper proposes a weak signal detection model based on knowledge base, by integrating the data of distributed computing framework and ESOM time series analysis methods into the system design, and adds data filtering and signal analysis and state evaluation engine to the existing detection sensors. The experimental results show that this method not only significantly reduces the systematic false alarm rate, but also effectively improves the detection ability of complex signals, providing a new technical path for weak signal detection in big data environment. © 2024 Copyright held by the owner/author(s).

关键词： Spatio-temporal data

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Integration of Blockchain and Fog computing—A Review 5th

Integration of Blockchain and Fog Computing—A Review

引用

5th international conference on Advances in information Communication technology and computing, AICTC 2024

作者： Kaur, Nirbeh Kumar, Shubham Kumar, Ritik Ranjana, Khushi Anand, Kumar Abhishek Gupta, Shailendra Kumar Department of Computer Science and Engineering Chandigarh University Punjab Mohali India Department of Electrical Engineering Chandigarh University Punjab Mohali India

ISBN: (纸本)9789819761050

"Integration of blockchain and fog computing" involves the two different concepts, i.e. blockchain technology and fog computing which has something in common—the decentralised system. The rapid advancement of technologies all over the world has put some threats to the data and information along with its development. The fog computing concept was put forward to enhance cloud computing applications in handling the IoT data. Fog computing, on the other hand, faces a number of difficulties, including storage, privacy, and security. Integration of blockchain with fog computing is the main approach which can help in overcoming these difficulties. Several researches are being done for integrating blockchain with fog computing in the field of health care, smart home, smart cities, IoT applications, drones network, mobile devices, transportation, financial, supply chain management, and many more. This research paper is a review study of relevant papers published on this topic already and gives an insight of the applications of integration of blockchain and fog computing. Our review paper has a systematic study of existing literature on this topic, and it provides an excellent overview of all the concepts that will play a crucial role for the researchers in their future studies. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electronic health record

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FOGSAFE: IoT enabled V2V communication system for enhanced visibility and safety in low visibility conditions 1st

FOGSAFE: IoT enabled V2V communication system for enhanced v...

引用

1st international conference on Applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Ishita Izna Sharma, Kapil Department of Information Technology Delhi Technological University Delhi India

ISBN: (纸本)9781032874036

The development of the Internet of Things (IoT) idea in the form of Internet of Vehicles (IoV) has provided a solution to all of the challenges associated with operating a vehicle. The full potential of IoV creates a distributed network of automobiles that cooperate with diverse vehicular systems, addressing numerous issues related to traffic monitoring and road safety measures. Due to their high latency and responsiveness delays, current technologies such as Vehicular Cloud computing, Vehicle Ad hoc Networks (VANET), and Mobile Cloud computing are not optimal. Vehicle Fog computing (VFC), a potential paradigm that combines fog computing and vehicle networks, offers VANETSs an efficient but different approach. Particle swarm optimization (PSO) algorithm is used to route the path optimization which leads to the most efficient routing paths being the best ones in the VANET. VFC boasts several advantages including very high throughput, consuming very little energy, and maintaining energy efficiency, with this hybrid model of Ada Boost and Random Forest Algorithm we get an impressive accuracy of 99.928%. © 2025 the Author(s).

关键词： Fog computing

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