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

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Load Balancing in Cloud computing based on Ant Colony Optimization and Crow Search Algorithm 27

Load Balancing in Cloud Computing based on Ant Colony Optimi...

引用

27th international conference on Advanced Communications technology, ICACT 2025

作者： Alsheavi, Amar N. Wang, Xingfu Zhao, Wei Hawbani, Ammar Alhusaini, Naji Ahmed, Ibrahim Abdulrab Ismail, A.S. School of Computer Science and Technology University of Science and Technology of China Anhui Hefei230027 China School of Computer Science and Technology Anhui University of Technology Anhui China School of Computer Science Shenyang Aerospace University Shenyang110136 China School of Computer and Information Engineering Chuzhou University Anhui Chuzhou239000 China Computer Department Applied College Najran University Najran66462 Saudi Arabia College of Life Sciences and Oceanography Shenzhen University Shenzhen518060 China Faculty of Science Zagazig University Zagazig44519 Egypt

ISBN: (纸本)9791188428137

With the rapid increase in cloud services and the increasing shift toward them, balancing the cloud load has become a critical research issue. The increasing demand from customers for technology services worldwide is largely due to its direct impact on performance quality. Therefore, to provide better service quality, it is essential to consider reducing response time and cost in load balancing. This paper addresses the load-balancing problem by optimizing response time and computing cost in cloud computing systems. Specifically, we first formulated the load balancing problem in cloud computing mathematically by designing an objective function that optimizes response time and cost, including constraints to ensure task assignment to a single virtual machine (VM) and resource limits are not exceeded. To solve this optimization problem, we proposed a hybrid algorithm, ACOCSA, that combines Ant Colony Optimization (ACO) and Crow Search Algorithm (CSA). We implemented the ACOCSA algorithm, evaluated the response time, cost, and load balancing metrics, and found that our algorithm performed better in terms of response time and computational cost, and showed good fairness among VMs. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Ant colony optimization

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A Transformer-Based Approach for Fake News and Spam Detection in Social Media Using RoBERTa

A Transformer-Based Approach for Fake News and Spam Detectio...

引用

2025 international conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Pal, Ankit Abhijit Mondal, Sudin Kumar, C. Ashok Kumar, C. Jothi School of Computing College of Engineering and Technology Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Chennai India

ISBN: (纸本)9798331509828

The spread of misinformation and spam on social media has become a critical challenge, undermining information integrity and online security. Addressing this pressing issue, this study introduces an advanced solution utilizing RoBERTa, a transformer-based deep learning model, for the effective detection of fake news and spam. By employing sophisticated Natural Language Processing (NLP) techniques, the proposed method demonstrates exceptional accuracy in classifying unreliable content, making it a valuable tool in today's digital communication landscape. The approach is designed to provide real-time detection capabilities, ensuring swift identification and mitigation of misinformation and spam. Its adaptability allows seamless application across different domains, enhancing its versatility. Furthermore, the solution emphasizes sustainability by incorporating continuous monitoring and retraining mechanisms, which enable the model to maintain its performance even as the nature of misinformation evolves. This work underscores the transformative potential of deep learning models like RoBERTa in combating the widespread dissemination of online threats. By ensuring precise, scalable, and timely detection, the study contributes to creating a safer, more trustworthy digital ecosystem. In doing so, it addresses a critical need in the current era, where the reliability of information is paramount for societal and individual well-being. © 2025 IEEE.

关键词： Contrastive Learning

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Container image management in cloud-edge environments: an image deletion method based on layer affinity 4

Container image management in cloud-edge environments: an im...

引用

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

作者： Luo, Hongsheng Zhang, Jianfeng Guo, Yong Zhao, Xin Ren, Yi Li, Bao College of Computer National University of Defense Technology Changsha410005 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Edge computing, which offloads data processing and analysis tasks to the edge of network, has gradually become a critical technology for handling large-scale data and providing low-latency services. Container technology is a lightweight, portable way of packaging software that is well suited to edge computing environments because it simplifies the deployment and management of applications while reducing the dependence on specific hardware. The synergistic use of container and edge computing has emerged as an ideal approach for achieving efficient and reliable service delivery. When a new container instance is deployed, the corresponding image must be downloaded from a remote image registry. However, edge nodes typically have limited storage resources, which means that storing a large number of images is not feasible. In edge environments with limited network resources, downloading the required images significantly increases container startup time, affecting the quality of service. Current research often focuses on container startup and image distribution, but frequently overlooks the management of storage space for images at edge nodes. We propose Image Cleaning method based on Minimum Layer Affinity (ICMLA), aiming to innovate strategies for managing images storage space in the edge computing environments. To evaluate the efficacy of the proposed method in this paper, a simulated cloud-edge cluster, designed to emulate a real-world operational setting, was established, and a series of comparative experiments were executed to assess performance. Experimental results show that, compared with the typical image replacement algorithms, ICMLA can reduce the total Pods startup time by 13.31% and increase the hit count by 56.67% at most. © 2025 SPIE.

关键词： Quality of service

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Assessing the Determinants of GCash Payment Adoption among College Students: A Combined Approach Using Task-technology Fit and technology Acceptance Models

Assessing the Determinants of GCash Payment Adoption among C...

引用

2025 IEEE international conference on Computational, Communication and information technology, ICCCIT 2025

作者： Rodriguez, Bobby A. De Loyola, Rhyan C. Escototo, Edreian R. Grecia, Jose Norwane Duazo, Danica S. De Paula, Eddie G. College of Information and Communications Technology STI West Negros University Bacolod City Philippines College of Engineering and Computing Studies University of St. la Salle Bacolod City Philippines

ISBN: (纸本)9798331512965

This study examines factors influencing technology adoption among college students using the Task-technology Fit (TTF) and technology Acceptance Model (TAM). It investigates how task-technology alignment and perceptions of usefulness and ease of use affect usage and performance. Structural equation modeling with data from 400 students shows that technology acceptance constructs (TAC) and technology characteristics (TEC) significantly impact TTF, with coefficients of 0.318 and 0.602, emphasizing the role of user experience in optimal alignment. Results confirm that TTF positively influences both utilization and performance, enhancing ease of use and frequency. TAM findings reveal perceived usefulness as the primary driver of behavioral intention, significantly affecting actual usage. These findings highlight that promoting perceived usefulness, task fit, and user experience is crucial for effective technology adoption, offering guidance for technology developers. © 2025 IEEE.

关键词： Students

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Reconfigurable optical matrix operations based on GST superlattice microring array 2

Reconfigurable optical matrix operations based on GST superl...

引用

2nd international conference on Optical Communication and Optical information Processing, OCOIP 2024

作者： Pang, Zhizhong Dong, Yida Shen, Mei Ge, Yanqi Lei, Lei Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen518060 China China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Academy for Advanced Interdisciplinary Studies Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen518000 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

This paper presents a reconfigurable matrix operations for optical digital computing using microring resonator (MMR) array assisted by ZnS-SiO2/Ge2Sb2Te5 superlattice (GST-SL) phase-change material (PCM). By overlaying the GST-SL onto the MMR array, the resonant state of each MMR element can be adjusted according to the assigned matrix weights, thereby modifying the optical matrix transfer function to yield specific logical operations. This device combines both nonlinear and linear operations to achieve the building blocks, including logic minterms and maxterms, for complex logic functions. Based on the basic logic units, combinational logic functions such as full addition and full subtraction have been numerically demonstrated. Our nanostructure reduces computational complexity and provides a basis for future array expansion, offering a promising new approach for integrated optical computing and optical signal processing. © 2025 SPIE.

关键词： Optical signal processing

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M2PAIR: A High-Quality Acoustic Impulse Response Computation Model

M2PAIR: A High-Quality Acoustic Impulse Response Computation...

引用

2025 IEEE international conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Li, Zhiyu Zhao, Xinpei Wang, Jing Qian, Xinyuan Xie, Xiang School of Information and Electronics Beijing Institute of Technology Beijing China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9798350368741

Acoustic Impulse Response (AIR) provides crucial spatial information about the environment, significantly enhancing audio immersion. However, achieving high perceptual quality while computing AIR in real-time for interactive audio-video media (IAVM) presents a challenging problem. This study proposes the Mesh to Parametric AIR (M2PAIR), a method for computing AIR designed for IAVM. M2PAIR integrates neural networks with psychoacoustics. It takes the 3D scene mesh, the listener positions, and the sound source positions as inputs, utilizes perceptual parameters as intermediaries, and computes the desired high-quality AIR signal based on these parameters. Experimental results demonstrate that M2PAIR improves the perceptual quality of AIR output compared to existing methods while reducing the model complexity. Additionally, it meets the requirements of IAVM, including real-time computation, high sampling rates, and flexible duration for the output AIR. © 2025 IEEE.

关键词： Acoustic Impulse Response Auralization Deep Learning Interactive Media Psychoacoustics

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Trends and Challenges in AI-Driven Microservices for Cloud-based Airline Reservation Systems: A Review 3

Trends and Challenges in AI-Driven Microservices for Cloud-b...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Barua, Biman Barua, Imon Shamim Kaiser, M. Mozumder, Mohammad Jashim Uddin Institute of Information Technology Jahangirnagar University Dhaka Bangladesh Department of CSE BGMEA University of Fashion & Technology Nishatnagar Turag Dhaka Bangladesh SY Systems Co. Ltd. Nagoya Japan Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh

ISBN: (纸本)9798331527549

The rapid advances in Artificial Intelligence (AI), microservices architecture, and cloud computing highly impact airlines in optimizing reservation systems. This review paper attempts to analyze the ongoing trend, challenges, and future opportunities of AI-enabled microservices toward cloud-based airline reservation systems. AI with machine learning and deep learning supports dynamic pricing, personalized services, and better demand forecasting, transforming booking, pricing, and customer experience. While microservices architecture offers scalability and flexibility, in conjunction with cloud computing, it optimizes airline demands and system performance. At the same time, challenges such as data privacy and security, scalability, interoperability, and costs are still present with adopting cloud-based microservices. Case studies are provided in this paper, as well as a thorough exposition of future directions of AI in airline reservation systems, such as the application of emerging AI techniques like reinforcement learning, evolution toward microservice architecture, and the influence of new cloud computing models such as edge and hybrid clouds. In addition, the work points out research gaps in areas such as real-time predictive analytics and security measures. Findings indicate a transforming potential of service on airline reservation systems for AI-facilitated microservices and cloud computing and provide possible suggestions for overcoming the current challenges to harness great efficiency from them. © 2025 IEEE.

关键词： Interoperability

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Design and Implementation of a Mobile Infant Care Monitoring System Based on Virtual Simulation technology of Computer Service Programs

Design and Implementation of a Mobile Infant Care Monitoring...

引用

2024 international conference Optoelectronic information and Optical Engineering, OIOE 2024

作者： Jun, Guobin School of Children's Welfare Changchun Humanities and Sciences College Changchun China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

With the changes in modern families and the needs of infants, traditional parenting methods are no longer able to meet the needs of parents. In order to provide a more advanced and convenient parenting method, this study designed and implemented a mobile parenting monitoring system based on virtual simulation technology of computer service programs. This system utilized virtual simulation technology, combined with mobile devices and cloud computing technology, to provide real-time remote monitoring and intelligent childcare services, providing greater convenience for parents and comprehensive care for infants. The real-time monitoring range of the mobile childcare monitoring system designed in this article was expanded to 100 meters compared to the traditional one, with the number of cameras increasing from 1 to 4, and the storage capacity also expanding to 50GB. The feasibility of the system also had advantages in terms of technical proficiency, economic cost, time cost, market competitiveness, and operational difficulty. The average score in terms of system stability was 85.71, which was also much higher than traditional childcare monitoring systems. The mobile childcare monitoring system designed in this article was significantly superior to traditional childcare monitoring systems and had broad application prospects. © 2025 SPIE.

关键词： Mobile applications

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Training and Monitoring System Based on Iot technology and Wearable Sensors 14th

Training and Monitoring System Based on Iot Technology and W...

引用

14th international conference on Frontier computing, FC 2024

作者： Luo, Na Basic Course Department Wuhan Donghu University Hubei Wuhan430212 China

ISBN: (纸本)9789819627974

This study focuses on sports training monitoring technology, with a particular focus on applications based on IoT technology and wearable sensors. Physical training monitoring is particularly critical when it comes to guiding athletes’ training programs. At present, the attention is paid to the intelligent monitoring system based on sensors, information transfer and cloud-based computing technology. This paper summarizes the technical architecture of the current mainstream monitoring system, and proposes a number of solutions, including strengthening the collaborative design of software and hardware, Integrate data from different channels and kinds to improve user interactions. In terms of technology development trends, the progress of new technologies such as miniature sensors, low-power communication and cloud AI provides strong support for the construction of a new generation of monitoring systems. The continuous evolution and integration of these technologies will further promote the development of sports training monitoring technology and provide athletes with more accurate and reliable training data, thereby improving their training effects and competitive performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wearable computers

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Research on Precision Enhancement of Wheat Pest and Disease Image Recognition through Deep Learning Feature Fusion 5

Research on Precision Enhancement of Wheat Pest and Disease ...

引用

5th international conference on Advances in Electrical, Electronics and computing technology, EECT 2025

作者： Wang, Qi Lv, Yuanyuan Hao, Buwei Li, Yanxin Taiyuan University of Technology Shanxi China

ISBN: (纸本)9798331541545

This study proposes a method combining deep learning and feature fusion to improve wheat pest and disease image recognition accuracy. The uneven distribution of pests and diseases leads to varied image features, challenging traditional recognition methods. By using image segmentation to locate affected regions, the study extracts key features (e.g., edges and gradients) with deep learning models. Feature fusion then integrates multi-scale features to capture comprehensive information. The fused features are used to train deep learning models for precise classification. Experiments show that the proposed method achieves 99% - 100% accuracy and near-perfect F1 scores, significantly outperforming traditional methods. This approach provides robust support for early diagnosis and control of wheat pests and diseases. © 2025 IEEE.

关键词： Image segmentation

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