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共 2885 条记录，以下是11-20 订阅

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INTELLIGENT AGENT FOR multimedia INFORMATION RETRIEVAL SYSTEM 15

INTELLIGENT AGENT FOR MULTIMEDIA INFORMATION RETRIEVAL SYSTE...

引用

15th International conference on computing Communication and networking Technologies, ICCCNT 2024

作者： Sundarrajan, R. Vignesh, C. Sridharan, M. Vijayalagar, R. Faizal, P.M. Mohamed Department of Information Technlogy Kalasalingam Academy of Research and Education Tamil Nadu Virudhunagar India

ISBN: (纸本)9798350370249

Our multimedia information retrieval Agent handles dynamic online material using an inventive method. It gathers processes, and stores current information in a variety of forms, including text, images, and video, using text queries given by the user. By using sophisticated web scraping methods with Google as the main source, user interests are accurately represented. The main feature of the system is its ability to use MongoDB to smoothly integrate several multimedia formats into a single storage structure. Google changes their data on a scheduled basis to ensure accuracy and relevancy. With its user-friendly interface for natural language searches and visually appealing results presentation, the system effectively arranges and retrieves data. Robust authorization and authentication processes guarantee the emphasis on security, privacy, and ethical use. With an emphasis on scalability, dependability, and ongoing improvement, the design accounts for potential expansion while guaranteeing that it will always be a state-of-the-art and trustworthy multimedia retrieval technique. © 2024 IEEE.

关键词： Neural networks

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The Challenges and Opportunities of Implementing Interactive Communication Media Algorithms in networking Applications 15

The Challenges and Opportunities of Implementing Interactive...

引用

15th International conference on computing Communication and networking Technologies, ICCCNT 2024

作者： Raghotham, Saritha Srinivasmurthy Jha, Sunita Sharma, Khushboo School of Mangement - Ug Department of Management Karnataka Bangalore India Arka Jain University Department of English Jharkhand Jamshedpur India Vivekananda Global University Department of Electrical Engineering Jaipur India

ISBN: (纸本)9798350370249

We show how the abstract exploration space of possible interactive communication media algorithms arises from implementing networking applications. Specifically, this abstract will describe the challenges to implementing current media algorithms in networking stacks and some benefits and motivations for incorporating those implementations. More significantly, this summary will look at the more excellent performance and stepped forward person revel that could accompany using multimedia codecs of interactive communication media. Moreover, this abstract will explain the challenges and constraints in implementing these algorithms nicely into current networking applications. Ultimately, this summary will discuss the challenges and opportunities associated with network applications by incorporating interactive communication media algorithms for improved performance and user satisfaction. © 2024 IEEE.

关键词： Demanding Implementation Interactive networking Opportunities Performance Situations Spotlight Ultimately

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Towards Programmable networking With CoopNet: A Horizontal Parallel Multipath Approach

Towards Programmable Networking With CoopNet: A Horizontal P...

引用

International conference on computing, networking and Communications (ICNC)

作者： Voicu, Razvan Cristian Chang, Yusun Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Kennesaw State Univ Sch Elect Engn Atlanta GA USA

ISBN: (纸本)9781665457194

The advent of the Internet of Things (IoT) and machine-to-machine (M2M) communication provide a system for collecting and manipulating big data and a platform for sensing, actuating, and automating the environment. IoT, M2M communication, social networking, and mass multimedia severely strain the communication infrastructure. Thus, the archaic communication frameworks require necessary improvements. One such improvement is the simultaneous usage of parallel communication links of differing radio access networks. This paper presents a Machine Learning (ML) optimization for link selection and use in CoopNet, a horizontal programmable communication architecture. Programmable networking paves the way for advancing communication to improve performance, reliability, security, and policy-based applications, including network decoupling. The ML implementation in CoopNet improves throughput by over 17%, delay by 10%, and reduces individual link utilization.

关键词： Heterogeneous Networks Device to Device Network Architecture Communication Spectrum Efficiency Multipath Machine Learning RNN FFNN Infrastructure as a Service

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Combinatorial Auction-enabled Dependency-Aware Offloading Strategy in Mobile Edge computing

Combinatorial Auction-enabled Dependency-Aware Offloading St...

引用

IEEE Wireless Communications and networking conference (WCNC)

作者： Kang, Hong Li, Minghao Fan, Sizheng Cai, Wei Chinese Univ Hong Kong Sch Sci & Engn Shenzhen Peoples R China

ISBN: (纸本)9781665491228

Mobile Edge computing (MEC) enables computation offloading from resource-constrained mobile devices to edge servers in close vicinity, effectively promoting the user experience on emerging interactive multimedia applications such as virtual/augmented reality, mobile gaming, and mobile video editing. However, most contemporary MEC offloading research disregards the interdependencies between partitioned subtasks of application. Also, few studies focused on application topologies have neglected to design effective incentives to encourage edge servers to provide offloading services. In this paper, we propose a dependency-aware offloading algorithm based on a multi-round truthful combinatorial reverse auction (MTCRA) to address the social welfare maximization problem in the paradigm of MEC. Building on the topology of directed acyclic graphs (DAGs) modeled from applications, we discuss the complementarity and substitutability of subtasks in the context of combinatorial auction. Theoretical analysis shows that the presented auction mechanism achieves computing efficiency while maintaining desirable economic features like truthfulness, individual rationality, and budget balance. Simulation results demonstrate that the proposed algorithm achieves high social welfare regarding reduced execution time and good economic benefits for MEC servers.

关键词： Mobile edge computing auction mechanism computational offloading dependent application

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A Novel Approximate computing Method for Efficient Search in Satellite Remote Sensing Products

A Novel Approximate Computing Method for Efficient Search in...

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International conference on multimedia computing, networking and Applications (MCNA)

作者： Alsalama, Ali Kubba, Ahmed Alsmirat, Mohammad Al Jawarneh, Isam Mashhour Univ Sharjah Dept Comp Sci Sharjah U Arab Emirates Jordan Univ Sci & Technol Dept Comp Sci Irbid Jordan

ISBN: (纸本)9798350354744;9798350354737

Remote sensing products include the generation of a class of geo-maps known as region-based geo-maps, such as choropleth and heatmaps. Comparing those maps is necessary for various real-time application scenarios and geo-maps time series analysis. A major challenge in this process is the vectorization of the raster images, transforming them into a compact data distribution format, in a way that reflects the color themes and densities of the source raster images which represent the geo-maps captured. Aggregation and grouping in such a process is indispensable, which is computationally expensive. To tackle this problem, in this paper, we showcase the design and prototyping of a novel efficient system GeoMapComp, for comparing a specific kind of remote sensing products efficiently, region-based aggregation geo-maps. We specifically compare geo-maps using proxies that are based on geohash encoding, where we apply geohash encoding to divide the geo-map area into equally-sized rectangles, then apply data distribution comparison metrics to compare those proxies, delineating then the differences between maps in a mathematically principled manner, incorporates the geographical characteristics of geo-maps, and is general-purpose and applicable to several kinds of region-based aggregate geo-maps. The paper further contributes by comparing several distance and point-based metrics such as Jenssen-Shannon, KL Divergence, and RMSE. Our results demonstrate the skills of our system in comparing region-based aggregate geo-maps remote sensing products effectively.

关键词： heat maps and choropleth geospatial visualization spatial data sampling geohash approximate query processing Geospatial analysis Data visualization Geoscience Jensen Shannon divergence KL divergence remote sensing Map comparison

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Content Delivery Models for Distributed and Cooperative Media Algorithms in Mobile Networks 15

Content Delivery Models for Distributed and Cooperative Medi...

引用

15th International conference on computing Communication and networking Technologies, ICCCNT 2024

作者： Rao, Deepak Dasaratha Dhabliya, Dharmesh Dhore, Anupkumar Sharma, Monali Mahat, Shabnam S. Shah, Alok Suresh Vishwakarma Institute of Technology Department of Information Technology Maharashtra Pune India Dr. ambedkar institute of management studies and research deekshabhoomi nagpur India St. Francis Institute of Management and Research Mumbai India Management Studies Pune India Abhijit Kadam Institute of Management and Social Science Solapur India Department Computer Studies College Pune India Navi Mumbai Mumbai India

ISBN: (纸本)9798350370249

Content transport fashions for allotted and Cooperative Media Algorithms in cellular Networks (DC-MAMR) is a unique technique to providing multimedia content material in mobile networks, the use of disbursed and cooperative media algorithms. DC-MA-MR leverages an aggregate of content material request-based networking models, distributed and cooperative media algorithms to permit green dependable content material delivery. Particularly, DC-MA-MR takes benefit of the subscriber's ability to select preferred content for extraordinary services, while allowing for disbursed and cooperative media algorithms to be recognized prior to content request time. The ensuing model may be used to discover consumer-precise resources for content shipping, accordingly permitting them to receive content over more than one channels. Moreover, DC-MA-MR permits strategies for instant content material distribution, with an emphasis on robustness of the delivery mechanisms in the presence of various user requests and environmental conditions. Further, DC-MA-MR entails mechanisms for deciding on most effective media resources on the basis of know-how of user mobility, network situations, content recognition, and different issues. Eventually, DC-MA-MR is likewise designed for scalability and sustainability by way of leveraging more than one additives of current networks, along with coding, caching, clustering, and dispensed computing. © 2024 IEEE.

关键词： computing Dispensed Emphasis multimedia Recognition

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Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis

Runs in the Family: Malware Family Variants Identification t...

引用

2023 International conference on multimedia computing, networking and Applications, MCNA 2023

作者： Walker, Aaron Shukla, Raj Mani Das, Tapadhir Sengupta, Shamik University of Nevada Department of Computer Science and Engineering Reno United States Anglia Ruskin University Department of Computing and Information Science Cambridge United Kingdom University of the Pacific Department of Computer Science United States

ISBN: (纸本)9798350339277

Malware may be classified into various families according to several factors, such as the method of delivery to an infected computing system, behaviors performed by the malware on an infected system, or through the presence of key characteristics which can be recognized through malware signatures. Additionally, a given malware family may comprise of many variants which perform similarly on an infected system, yet differ from each other in some discernible way. In this paper, we show that understanding this difference in malware behavior among variants of the same malware family is possible through analysis of Windows API system call sequences and their related frequencies. This allows for the identification of changes in malware variant behavior and illustrates the relationships between malware families. © 2023 IEEE.

关键词： Malware

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Energy-Efficient Anti-Jamming Metaverse Resource Allocation Based on Reinforcement Learning 25

Energy-Efficient Anti-Jamming Metaverse Resource Allocation ...

引用

IEEE Wireless Communications and networking conference (IEEE WCNC)

作者： Zhan, Yiwen Zhang, Jinming Lin, Zhiping Xiao, Liang Xiamen Univ Dept Informat & Commun Engn Xiamen Peoples R China Xiamen Univ Key Lab Multimedia Trusted Percept & Efficient Co Minist Educ China Xiamen Peoples R China

ISBN: (纸本)9798350303582;9798350303599

Metaverse system facilitated by Extended Reality (XR) requires extensive computing and communication resources to provide seamless services for users and has to resist jamming attacks. In this paper, we propose a reinforcement learning based Metaverse resource allocation scheme against jamming, which optimizes the rendering mode, transmit channel, and power to fulfill the quality of experience (QoE) requirements for Metaverse services. This scheme incorporates both the background resolution, determined by the linear model of visual acuity decline, and the background correlation into the state formulation and rendering process, with both factors influencing the data size of the rendering task. Based on the required resolution, the background resolution, the data size of foreground and background, the background correlation, and the radio channel gain, the 2-level hierarchical architecture evaluates the expected utility of the rendering policy in the first level, and the transmission policy in the second level, and estimates the risk value depending on the latency to mitigate the risk of user experience disruption. Simulation results show that our proposed scheme reduces the service latency, conserves energy consumption, and enhances the QoE of Metaverse users.

关键词： Resource allocation Metaverse Extended Reality reinforcement learning jamming

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Enhancing multimedia Forwarding in Software- Defined Networks: An Optimal Flow Mechanism Approach 2

Enhancing Multimedia Forwarding in Software- Defined Network...

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2nd International conference on Advancement in Computation and Computer Technologies, InCACCT 2024

作者： Tiwana, Pardeep Singh Singh, Jaspreet Chandigarh University Gharuan Computer Science & Engineering Punjab Mohali India Chandigarh Engineering College-CGC Landran Punjab Mohali India

ISBN: (纸本)9798350371314

Software-defined networking (SDN) has revolutionized the way in which current modern networks are constructed. SDN offers dynamic and centralized administration resources that are available for the network, but multimedia traffic still a challenge on modern communication networks and it is very important to protect network systems that can reliably and effectively send multimedia data over the network form one end to another end. The goal of this new approach, which is called the Optimal Proposed Flow Mechanism (OPFM), is to make it easier for SDN (software-defined networking) devices to send multimedia data. This method of managing flow at the D-Plane involves the enforcement of device thresholds that are determined by the packet content of messages. By implementing this approach, not only are speed of response and computational efficiency improved, but processing delays are also reduced. The subsequent emphasis is on flow classification, which involves the categorization of incoming flows into delay-sensitive and nondelay-sensitive streams. A Non-Deep Lightweight Parallel Network (ND-LPN) is used for classification in software defined network and it has parallel layers that can manage flow delay limits, device efficiency, and service categorization. In the way to prevent packet loss while load balancing, this approach prioritizes flow classification in a computing efficient and latency-free manner. This means that traffic flow is sent to controllers according to their importance. The proposed method conducted in Network Simulator 3.2 and it makes the network work better by fixing flow management problems through more efficient methods for categorizing and transferring traffic in terms of network load and packet loss rate during flow forwardoing. © 2024 IEEE.

关键词： Software defined networking

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AppNet: Application-Aware networking with O-RAN 30

AppNet: Application-Aware Networking with O-RAN

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30th International conference on Mobile computing and networking, ACM MobiCom 2024

作者： Ghosh, Ushasi Jain, Ish Kumar Seshasayee, Sushila Bharadia, Dinesh Shakkottai, Srinivas Uc San Diego United States Texas A&m University United States

ISBN: (纸本)9798400704895

The 5G network promised transformative services across various industries, yet its integration has mostly been limited to existing 4G services like IMS-based multimedia and IoT. This paper identifies two key reasons for this underutilization: first, the stringent, multi-dimensional requirements of next-generation verticals like AR/VR, mobile gaming, and robotics, and the limitations of traditional Quality of Service (QoS) approaches in meeting these needs. We argue for a shift towards Quality of Experience (QoE), which better captures user perception and instantaneous application state. To meet stringent QoE demands and optimize network utilization, we emphasize the importance of application state and context awareness within the network. As a solution, we propose AppNet, a novel framework that integrates application awareness into the networking stack via RAN Intelligent Controllers (RICs) of the Open-RAN platform, enabling dynamic QoS adjustments based on application context. This paper highlights 5G private networks as an ideal testing ground, focusing on multi-user scenarios to deliver optimal real-time interactive services at scale. © 2024 Copyright held by the owner/author(s).

关键词： Quality of service

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