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检索条件"任意字段=International Conference on Multimedia, Software Engineering and Computing"

共 66546 条记录，以下是171-180 订阅

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Development of Digital Telecommunication to Analyse and Store Complex Media Data: A Way to Data engineering 1

Development of Digital Telecommunication to Analyse and Stor...

引用

1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Pachigolla, Yesu Ratnam Pflugerville TX United States

ISBN: (纸本)9798331518578

In the era of digital world data flows are saturated with development of universal multifunctional system to solve problems and to optimise the computing resources. The information system is highly loaded with modern data and large number of resources. The user request and heterogeneity of the incoming streams can be evaluated using different types of multimedia services and its requirement for computing resources and its performance with the entire data. The incoming flow of data heterogeneity is considered as the distinctive feature of request in the modern information system to support different types of multimedia services in single platform. Large volumes of data and data heterogeneity Creates numerous problems related to data storage security and the speed of digital system. To address these challenges artificial intelligence technology can be used for execution of digital telecommunication complex for processing and storing the dynamic flow of data that are in multi format. The prospects and trends can be identified to develop these models based on the perspective characteristics. The development of digital communication with multi object analytic system for storing and analysing complex data with data engineering. An fuzzy based model is used for data processing with enhanced accuracy of 98%. © 2025 IEEE.

关键词： Data engineering data flow data storage digital telecommunication Fuzzy model processing

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Insights and Practice Experiences of Service Science and engineering Education 2

Insights and Practice Experiences of Service Science and Eng...

引用

2nd IEEE international conference on software Services engineering (SSE)

作者： Xu, Xiaofei Tu, Zhiying Harbin Inst Technol Harbin Peoples R China

ISBN: (纸本)9798350368529;9798350368512

Service Science and engineering play an important role in service economy. In order to meet the demands of professionals for modern service industry, service-oriented manufacturing, and service-oriented society, it is necessary to cultivate many innovative service professionals who understand information technologies, management, and services. Education on service science and engineering has been established and developed for more than twenty years. This paper summarizes the connotations and development process of education on service science and engineering, shows the relevant knowledge-bodies and curricula for service science and engineering, introduces the best practice and experiences of service science and engineering education, and presents the considerations and suggestions on the future development of service science and engineering education.

关键词： service science and engineering serviceology SSME education on services service computing

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Development of Deepfake Detection Techniques for Protecting multimedia Information using Deep Learning 3

Development of Deepfake Detection Techniques for Protecting ...

引用

3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Siva Rama Lingham, N. Devakanth, J Jude Moses Anto Raj, Gowtham Gayathri, K. Janani, R. Dhanapal, R. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Acharya Institute of Technology Department of Computer Science and Engineering Bangalore India Bannari Amman Institute of Technolgy Department of Information Technology Erode India Sri Krishna College of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Karpagam Academy of Higher Education Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350375190

The development of proposed deepfake detection techniques plays a prominent role in the safeguarding the multimedia information. The various challenges are addressed using the aid of deep learning techniques. This involves hybrid optimization techniques such as particle swarm optimization and genetic algorithms. This helps to improve the accuracy and efficiency in the detection of deepfake. PSO helps in optimizing the weights and parameters of the neural network to obtain faster convergence. GA helps in obtaining potential solutions to obtain the robust deepfake detection model. The integration of deep learning with hybrid optimization involves the collection and preprocessing of the multimedia information and proceeds to an optimization algorithm. The manipulated content in the online platform are detected during the training process. The hybrid optimization tcehniques helps in obtaining model generability and achieving resilience in various attacks occurring in the deepfake generation. The integration of PSO and GA helps in the accurate detection of deepfake content through continuous training and evaluation. Thus the proposed system forms a safeguarding tool for multimedia content and helps to eliminate various risks. © 2024 IEEE.

关键词： Genetic algorithms

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software Diversification Protection Methods for Binary Programs 9

Software Diversification Protection Methods for Binary Progr...

引用

9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Chen, Yingchao Wang, Junchao Zhou, Xin Pang, Jianmin Laboratory for Advanced Computing and Intelligence Engineering Zhengzhou China

ISBN: (纸本)9798350376548

software diversification is an effective software protection method against reverse engineering and code reuse attacks, which can provide heterogeneous redundant execution bodies for mimetic defense mechanisms. Most existing software diversification methods require access to the source code, which can provide defenders with more valuable information for devising effective defense strategies. However, due to commercial copyright and the purpose of preventing software piracy, developers often keep their software closed-source, making it difficult to access the source code. Therefore, a method called R2BF (ReCooking and Randomizing Binary File) is proposed, which combines decompilation and diversification compilation techniques to address the difficulty of obtaining the source code. This method involves diversifying the source code through compilation to achieve software diversification for binary executable files. Security and performance testing of diversified C programs has shown that diversified binary executable files can mitigate vulnerabilities resulting from code reuse, validating that this method can enhance the security of binary programs and is feasible for software protection. The diversified binary executable files are nearly identical to the original, non-diversified files in terms of file size and execution time, and may even exhibit acceleration and optimization effects in certain scenarios. © 2024 IEEE.

关键词： Reverse engineering

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Artificial Intelligence in System and software engineering for Auto Code Generation

Artificial Intelligence in System and Software Engineering f...

引用

2024 international conference on Electrical, Electronics and computing Technologies, ICEECT 2024

作者： Ghai, Anupriya Sharma Rawat, Vandna Gupta, Vishan Kumar Ghai, Kapil Graphic Era Hill University School of Computing Dehradun India Graphic Era Deemed to be University Science Engineering Department of Computer Dehradun India Amity University. Punjab School of Engineering and Technology Mohali India Graphic Era Hill University Department of Chemistry Dehradun India

ISBN: (纸本)9798350378092

Artificial Intelligence has profoundly impacted system and software engineering by facilitating the automation of complicated tasks, reducing errors, and accelerating the development process. AI-driven tools help enhance efficiency, improve code quality, and promote the generation of more adaptive and innovative software solutions. The present research uses AI-generated tools to explore how AI transforms code synthesis. The study will include a comparative analysis of the performance of manual coding and other automated methods to explore how AI can accelerate code synthesis and make modern web development more competent or effective. It is suggested in the research that with algorithmic and contextual consideration, the quality of code developed by the AI would be higher in most cases than by people due to lower error rates and shorter synthesis. Overall, the central conclusion of the research is that AI plays a crucial role in transforming systems and software engineering. The paper also includes information on ethical dilemmas, robust validation mechanisms, conservative modes, and current research. © 2024 IEEE.

关键词： software quality

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GEOFF: Federated Serverless Workflows with Data Pre-Fetching 12

GEOFF: Federated Serverless Workflows with Data Pre-Fetching

引用

12th international conference on Cloud engineering

作者： Carl, Valentin Schirmer, Trever Pfandzelter, Tobias Bermbach, David Tech Univ Berlin Berlin Germany Einstein Ctr Digital Future Scalable Software Syst Res Grp Berlin Germany

ISBN: (纸本)9798331528690;9798331528706

Function-as-a-Service (FaaS) is a popular cloud computing model in which applications are implemented as workflows of multiple independent functions. While cloud providers usually offer composition services for such workflows, they do not support cross-platform workflows forcing developers to hardcode the composition logic. Furthermore, FaaS workflows tend to be slow due to cascading cold starts, inter-function latency, and data download latency on the critical path. In this paper, we propose GEOFF, a serverless choreography middleware that executes FaaS workflows across different public and private FaaS platforms, including ad-hoc workflow recomposition. Furthermore, GEOFF supports function pre-warming and data pre-fetching. This minimizes end-to-end workflow latency by taking cold starts and data download latency off the critical path. In experiments with our proof-of-concept prototype and a realistic application, we were able to reduce end-to-end latency by more than 50%.

关键词： serverless FaaS edge computing cloud choreography

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Multi-Objective Optimization of Application Deployment Strategies in Integrated Cloud-Fog computing Environments 2

Multi-Objective Optimization of Application Deployment Strat...

引用

2nd IEEE international conference on software Services engineering (SSE)

作者： Han, Zheng Wang, Chen Fang, Zhengxin Ma, Hui Chen, Gang Victoria Univ Wellington Ctr Data Sci & Artificial Intelligence Wellington New Zealand Natl Inst Water & Atmospher Res Dept HPC & Data Sci Christchurch New Zealand

ISBN: (纸本)9798350368529;9798350368512

In the domain of Cloud computing, Fog computing is integrated with the Cloud to offer a balanced approach that combines Cloud's scalability with Fog's low latency, enabling efficient software application deployment. However, many current studies overlook the unpredictability of future user requests, such as assuming all requests are known beforehand. User requests often arrive dynamically and may have different quality of service (QoS) preferences. Therefore we need effective methods to handle dynamic application deployment with multiple objectives. This paper tackles this gap by modeling a multi-objective application deployment problem that considers dynamically arriving users' requests on application deployment in a Cloud-Fog environment. We further introduce a multi-objective Genetic Programming Hyper-Heuristic based approach to automatically generate a set of deployment rules that can be chosen according to users' QoS preferences. These rules are generated with different trade-offs of two optimization objectives, i.e., minimizing cost and latency, which can be used for deploying applications dynamically. Our experimental evaluation using real-world data demonstrates that our GPHH approach can generate effective heuristics for deploying applications in an integrated Cloud-Fog environment.

关键词： Cloud computing Fog computing Multi-Objective Optimisation Genetic Programming Hyper-Heuristics

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Efficient data management through ML-based feature extraction 15

Efficient data management through ML-based feature extractio...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Krishna, Adwaith E.R. Varundev, M. Nair, Lekha S. Surendran, Sidharth Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798350370249

multimedia data production, such as audio, video, and acoustic measurements in large volumes and speed, has approached the scale of big data in many sensor networks. multimedia Sensor Networks (MSN) are popular because of their capability to manage and integrate the different domains of sensor outputs, their representations, and the encoding of these measurements. Studies on generic and specific models for detection and tracing events in a sensor network have been established by multiple models. At the same time, there is still the requirement to handle these measurements from the Complex Dataset perspective. In the current world scenario, sensor networks are not limited to producing high-quality and diverse sensor readings but also large volumes at high speed. The most intuitive methods of handling them focus only on the interested range of measurement or store-for-later use. The possibility of data analysis in such an information-rich big data environment can be improved. In this study, we propose a model, "Multilink" that helps to align the multimedia data generated by a sensor network to a standard easy-to-process feature space with the incorporation of Machine Learning centric architecture. ©2024 IEEE.

关键词： Big data

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Intent- Based Network Management and Its Application Prospects in Smart Grids 3

Intent- Based Network Management and Its Application Prospec...

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3rd international conference on Cloud computing, Big Data Application and software engineering, CBASE 2024

作者： Han, Qiuqi Zhang, Yi Tong, Kunrui Xu, Xin Lu, Yao State Grid Jibei Information and Technology Company Beijing China

ISBN: (纸本)9798331506582

This article provides a review of the application of intent-driven networks in smart grids, suitable for domestic journals focusing on review or prospective articles. Firstly, the article introduces the concept of intent-driven networks and their enhancement based on software-Defined Networking (SDN), emphasizing the shift from network control to adaptive management. It then reviews the requirements of smart grids for intelligent network management, discusses the role of SDN in the evolution of smart grid communications, and briefly outlines relevant research. Finally, it explores potential applications of intent-driven networks, including dynamic resource scheduling, integration with edge computing, fault detection and self-healing, energy efficiency optimization, and standardization issues, offering new perspectives for optimizing management in smart grids. © 2024 IEEE.

关键词： dynamic resource scheduling edge computing requirements Intent-Based network smart grid software-Defined Networking

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Understanding Inconsistency in Azure Cosmos DB with TLA 23

Understanding Inconsistency in Azure Cosmos DB with TLA

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IEEE/ACM 45th international conference on software engineering - software engineering in Practice (ICSE-SEIP)

作者： Hackett, Finn Rowe, Joshua Kuppe, Markus Alexander Univ British Columbia Vancouver BC Canada Microsoft Redmond WA USA Microsoft Res Redmond WA USA

ISBN: (纸本)9798350300376

Beyond implementation correctness of a distributed system, it is equally important to understand exactly what users should expect to see from that system. Even if the system itself works as designed, insufficient understanding of its user-observable semantics can cause bugs in its dependencies. By focusing a formal specification effort on precisely defining the expected user-observable behaviors of the Azure Cosmos DB service at Microsoft, we were able to write a formal specification of the database that was significantly smaller and conceptually simpler than any other specification of Cosmos DB, while representing a wider range of valid user-observable behaviors than existing more detailed specifications. Many of the additional behaviors we documented were previously poorly understood outside of the Cosmos DB development team, even informally, leading to data consistency errors in Microsoft products that depend on it. Using this specification, we were able to raise two key issues in Cosmos DB's public-facing documentation, which have since been addressed. We were also able to offer a fundamental solution to a previous high-impact outage within another Azure service that depends on Cosmos DB.

关键词： cloud computing formal methods model checking documentation

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