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

共 195250 条记录，以下是4711-4720 订阅

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A Novel Approach to Grover's Quantum Algorithm Simulation: Cloud-Based Parallel computing Enhancements 4

A Novel Approach to Grover's Quantum Algorithm Simulation: C...

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4th international conference on Smart Electronics and Communication, ICOSEC 2023

作者： Gejea, Adugna Mekonnen Mayakannan, S. Palacios, Rosana Marianela Hamad, Abdulsattar Abdullah Sundaram, Barani Alghamdi, Wajdi Bule Hora University Department of Computer Science Ethiopia Vidyaa Vikas College of Engineering and Technology Department of Mechanical Engineering Tamilnadu Namakkal India Department of Marketing Engineering Riobamba060155 Ecuador Dijlah University College Department of Medical Laboratory Techniques Baghdad Iraq King Abdulaziz University Faculty of Computing and Information Technology Department of Information Technology Jeddah21589 Saudi Arabia

ISBN: (纸本)9798350300888

A truly universal quantum computer is still on the small scale at the present. There has been no transition from the laboratory use of quantum computers to more widespread use of the technology. As a result, quantum simulation has emerged as the accepted norm for supporting the validation of quantum algorithms. Many conventional algorithms benefit from grover's quantum search method because it accelerates their usage of search heuristics. For better multi-core load balancing, memory utilization, and simulation efficiency, this research presented a high-performance grover method simulation that combines the benefits of grover's technique with the parallel of cloud computing. This study also suggests and experimentally compares five distinct cloud-based computing architectures that are well-suited to quantum simulation. Through research and testing, this study also verifies the optimization's efficiency. Depending on the size of the current configuration, the experimental results reveal that the simulation can reach 31 bits. © 2023 IEEE.

关键词： Cloud computing

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On computing and real-time communication performance of containerized virtual PLCs 20

On computing and real-time communication performance of cont...

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20th international conference on Factory Communication Systems (WFCS)

作者： Gaffurini, Massimiliano Bellagente, Paolo Depari, Alessandro Flammini, Alessandra Brandao, Dennis Rinaldi, Stefano Sisinni, Emiliano Ferrari, Paolo Univ Brescia Dept Informat Engn Brescia Italy

ISBN: (纸本)9798350319347;9798350319354

The Industry 4.0 has led to a significant transformation in manufacturing and industrial processes, characterized by increased connectivity and widespread digitalization. This revolution is driven by the convergence of IT (information technology) paradigms with OT (Operational technology) domains. Virtualization technology plays a crucial role in this integration, thanks to its characteristics of agility, scalability, and efficiency. This work investigates the virtualization of Programmable Logic Controllers (PLCs) and it is focused on the need for evaluating their performance. PLCs are essential components of industrial automation and are being virtualized to increase flexibility, reduce hardware dependencies, and enable seamless integration with IT infrastructures. This work proposes a methodology for evaluating the execution time of a benchmark program and the PLC real-time behavior. Experiments on a real use case demonstrate that the PLCs implemented in containers may be 50 times faster than the real ones in executing data elaboration, while no significant differences were observed in real-time communication. In any case, virtual PLCs are characterized by greater jitter with respect to real PLCs.

关键词： virtual PLCs lightweight virtualization container PROFINET

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Homomorphic Encryption Based Privacy Protection Techniques for Cloud computing 2

Homomorphic Encryption Based Privacy Protection Techniques f...

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2nd international conference on Cloud computing, Big Data Application and Software Engineering, CBASE 2023

作者： Wei, Tianxiang Lv, Zhenhao Jin, Ruihan Di, Wenkai Yang, Li Yang, Xiaoliang SSF IEU Henan Key Laboratory of Quantum Information and Cryptography Zhengzhou450001 China SSF IEU Henan Key Laboratory of Quantum Information and Cryptograph Zhengzhou450001 China

ISBN: (纸本)9798350331448

In modern information technology, the rapid development of cloud computing has brought convenience and improved office efficiency for various fields and users. But it also brings up all kinds of data security issues. One of the prominent problems is the privacy and security issue, some of the cloud computing systems are not trustworthy, with all kinds of users' private data vulnerable to leakage and illegal tampering incidents, the privacy protection of cloud computing has attracted widespread attention. To face this problem, this article proposes a cloud computing privacy technique based on homomorphic encryption. Homomorphic encryption algorithms are encryption techniques with special properties that enable third parties to efficiently compute the ciphertext without decrypting it. This means that data can still be encrypted in the encrypted state to achieve computational processing, while using the corresponding state secret algorithms to ensure the non-repudiation of the data generated by the cloud computing servers, which substantially reduces the risk of data leakage while improving the efficiency of computing by cloud computing. © 2023 IEEE.

关键词： Cryptography

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Virtual Reality-Based Interventions for Improving Learning Outcomes in Children with ADHD 19

Virtual Reality-Based Interventions for Improving Learning O...

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19th international conference on Future Networks and Communications, FNC 2024 / 21st international conference on Mobile Systems and Pervasive computing, MobiSPC 2024 / 14th international conference on Sustainable Energy information technology, SEIT 2024

作者： Alobidi, Noof Alnanih, Reem Bakhsh, Helen Department of Computer Science Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia

The utilization of virtual reality (VR) has been increasingly applied in various fields, including medicine and education, to address the challenges faced by children with attention deficit hyperactivity disorder (ADHD) and provide solutions. This study investigates the impact of VR intervention on the academic performance of ADHD children. The researchers implemented a modified VR game specifically designed to accommodate the unique challenges and preferences of ADHD children. In evaluating the academic performance of ADHD children, a pre-test and post-test were performed on both the VR intervention group and the control group. The pre-test aimed to determine baseline academic performance, while the post-test assessed any improvements following the intervention. The study included a total of 20 participants, with 10 assigned to the VR intervention group and 10 to the control group. Moreover, the researchers recorded the behavior of the child during VR gameplay and performed post-gameplay interviews to assess the user experience of the VR environment. Quantitative analysis, including ANCOVA, reveals a statistically significant improvement in post-test scores among participants in the VR intervention group compared to the control group, suggesting the effectiveness of VR in improving learning outcomes. The results indicate high levels of enjoyment and engagement among participants, with positive emotional responses. Overall, the study underscores the potential of VR interventions as effective tools for addressing the educational needs of children with ADHD. © 2024 The Authors. Published by Elsevier B.V.

关键词： Virtual environments

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Reversible Data-Hiding Scheme Using Color coding for Ownership Authentication 7th

Reversible Data-Hiding Scheme Using Color Coding for Ownersh...

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7th international conference on Microelectronics and Telecommunication Engineering, ICMETE 2023

作者： Singh, Anuj Kumar Kumar, Sandeep Singh, Vineet Kumar School of Computing Science and Engineering Galgotias University Greater Noida India ABES Institute of Technology Ghaziabad Ghaziabad India

ISBN: (纸本)9789819995615

The concept of reversible data hiding (RDH) enables the full restoration of the cover image while simultaneously recovering the concealed data from a previously obscured image. Hence, it is the favored choice when complete restoration of the cover image is required in situations where the concealment of critical data is important. This work introduces a system that utilizes interpolation-based color coding method (CCM) to temporarily conceal data without permanent deletion. The refinement of the expanded form of the original image is achieved by the utilization of two distinct methods, namely enhanced neighbor mean interpolation (ENMI) and modified neighbor mean interpolation (MNMI). This procedure is conducted prior to the inclusion of any confidential data. The experimental findings indicate that the suggested approach has the potential to be implemented and exhibits superior performance compared to standard methods in relations of highest signal-to-noise ratio and data whacking size. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Interpolation

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Evaluating Performance Portability of SYCL and Kokkos: A Case Study on LBM Simulations 21

Evaluating Performance Portability of SYCL and Kokkos: A Cas...

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21st IEEE international Symposium on Parallel and Distributed Processing with Applications, 13th IEEE international conference on Big Data and Cloud computing, 16th IEEE international conference on Social computing and Networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Ding, Yue Xu, Chuanfu Qiu, Haozhong Wang, Qingsong Dai, Weixi Lin, Yongzhen Che, Yonggang National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing Changsha China

ISBN: (纸本)9798350329223

Since modern high performance computing systems are evolving towards diverse and heterogeneous architectures, the emergence of high-level portable programming models leads to a particular focus on performance portability. In this paper, we evaluate the performance portability and explore performance optimization methods for two portable programming models SYCL and Kokkos. We take an open-source multi-phase Lattice Boltzmann Method (LBM) flow simulation code as a case study and implement portable versions with different optimizations. Then we compare our portable implementations with engineer-tuned OpenMP and CUDA versions on Intel CPUs and NVIDIA GPUs. Experimental results show that both SYCL and Kokkos can deliver superior performance than traditional programming models, but the best performance of the portable versions depends heavily on platform-specific optimizations. There is no single implementation that can achieve the best performance on both CPUs and GPUs. Consequently, we conclude that the performance portability still needs to be further improved for both SYCL and Kokkos. In addition, we present a comparative analysis of different optimization methods that qualify the performance enhancement when using SYCL and Kokkos on CPUs and GPUs. Our work offers valuable references for the development of both portable programming models and applications. © 2023 IEEE.

关键词： Program processors

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Segmentation of Skin Lesion Image Using FCM with Color Transformation Saliency 1

Segmentation of Skin Lesion Image Using FCM with Color Trans...

引用

1st IEEE international conference on computing and Data Science, ICCDS 2024

作者： Bavya, S. Saravana Kumar, V. Kavitha, M. Anantha SivaPrakasam, S. Vels Institute of Science Technology & Advanced Studies Department of Computer Science & Engineering Chennai India Sreenidhi Institute of Science and Technology Department of Information Technology Hyderabad India S A Engineering College Department of Computer Science & Engineering Chennai India Rajalakshmi Engineering College Department of Computer Science & Technology Chennai India

ISBN: (数字)9798350365337

ISBN: (纸本)9798350365337

In the majority of Western nations including America, Australia and Europe, skin cancer is badly-behaved. Skin concealing, inadequacy of Sun-lights, climate, age, and inherited are major risk factors. Early identification of skin cancer and proceed the treatment can avoid death. The abnormal skin region determines where the skin diseases had been found. Various sorts of skin ailments be existent currently. Melanoma is the sort of skin threat which has grows the greater part of mortality rate. The timely identification and intercession of melanoma include myriad changes of fix. Melanoma has been recognized by shape, size, concealing and outward of the skin injury. This paper demonstration about the traditional clustering technique in particular Fuzzy Clustering technique is acted in these skin lesion pictures. This strategy is segmenting this melanoma from these dermoscopic images effectively. The presentation of this strategy is assessed as far as pixel grouped and time complexity. © 2024 IEEE.

关键词： Feature extraction

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Mutual Fund Analysis Using Large Language Model

Mutual Fund Analysis Using Large Language Model

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2024 MIT Art, Design and technology School of computing international conference, MITADTSoCiCon 2024

作者： Ghodake, Mrunali Misal, Pranjal Tendulkar, Tanvi Hiray, Swapnaja Pune Institute of Computer Technology Department of Information Technology Pune India

ISBN: (纸本)9798350362879

Large language models (LLMs) have the potential to revolutionize mutual fund analytics. LLMs can be trained on massive datasets of financial data and news articles, and they can then be used to perform a variety of tasks, including: Identifying patterns and trends in mutual fund data. LLMs can be used to identify patterns and trends in mutual fund data that would be challenging for people to independently identify. This can be helpful for identifying potential investment opportunities and for understanding the risks associated with different mutual *** insights into mutual fund performance. LLMs can be used to generate insights into mutual fund performance that would be extremely difficult for humans to produce on their own, if not impossible. For example, LLMs can be used to identify the factors that are driving a mutual fund's performance and to predict how a mutual fund is likely to perform in the future. Creating personalized mutual fund recommendations. LLMs can be used to create personalized mutual fund recommendations for individual investors. This can be done by taking into account the investor's individual financial situation, risk tolerance, and investment goals. LLMs have the potential to make mutual fund analytics more accessible and affordable for individual investors. They can also help investors to make more informed investment decisions. © 2024 IEEE.

关键词： Risk management

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The Role of Cloud computing in Ensuring Business Continuity during Disasters 6

The Role of Cloud Computing in Ensuring Business Continuity ...

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6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Bansal, Chiranjeev Tanwar, Sarvesh Amity Institute of Information Technology Amity University Uttar Pradesh Noida India

ISBN: (纸本)9798350304480

The most important aspects of a firm are business continuity planning and disaster recovery planning, yet they are frequently overlooked. Even before a tragedy strikes, businesses need to have a well-organized strategy and document for company continuity. Disasters may be brief or prolonged, but when a company is prepared for any difficulty, it flourishes and endures. This essay provides information on the value of business continuity and disaster recovery benefits that cloud computing may offer. This article aims to explain how cloud computing supports business continuity and disaster recovery through its service models. It also emphasizes system virtualization, another distinctive aspect of cloud computing that aids disaster recovery. It also makes an effort to comprehend how cutting-edge technologies like virtualization, SAAS, and CAAS help business continuity and disaster recovery. © 2023 IEEE.

关键词： computing Disaster Recovery Security Services

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Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses 23

Thrilled by Your Progress! Large Language Models (GPT-4) No ...

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19th Annual ACM conference on international computing Education Research V.1 (ICER)

作者： Savelka, Jaromir Agarwal, Arav An, Marshall Bogart, Chris Sakr, Majd Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781450399760

This paper studies recent developments in large language models' (LLM) abilities to pass assessments in introductory and intermediate Python programming courses at the postsecondary level. The emergence of ChatGPT resulted in heated debates of its potential uses (e.g., exercise generation, code explanation) as well as misuses in programming classes (e.g., cheating). Recent studies show that while the technology performs surprisingly well on diverse sets of assessment instruments employed in typical programming classes the performance is usually not sufficient to pass the courses. The release of GPT-4 largely emphasized notable improvements in the capabilities related to handling assessments originally designed for human test-takers. This study is the necessary analysis in the context of this ongoing transition towards mature generative AI systems. Specifically, we report the performance of GPT-4, comparing it to the previous generations of GPT models, on three Python courses with assessments ranging from simple multiple-choice questions (no code involved) to complex programming projects with code bases distributed into multiple files (599 exercises overall). Additionally, we analyze the assessments that were not handled well by GPT-4 to understand the current limitations of the model, as well as its capabilities to leverage feedback provided by an auto-grader. We found that the GPT models evolved from completely failing the typical programming class' assessments (the original GPT-3) to confidently passing the courses with no human involvement (GPT-4). While we identified certain limitations in GPT-4's handling of MCQs and coding exercises, the rate of improvement across the recent generations of GPT models strongly suggests their potential to handle almost any type of assessment widely used in higher education programming courses. These findings could be leveraged by educators and institutions to adapt the design of programming assessments as well as to fuel the nec

关键词： AI code generation introductory and intermediate programming Multiple-choice question answering MCQ coding exercises generative pre-trained transformers GPT Python course programming knowledge assessment ChatGPT Codex GitHub Copilot Alpha-Code

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