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共 8424 条记录，以下是241-250 订阅

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Dynamic Topology Management In Ad-Hoc Networks For Improved Performance 2

Dynamic Topology Management In Ad-Hoc Networks For Improved ...

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2nd IEEE international conference on Advances in Information Technology, ICAIT 2024

作者： Anakath, A.S. Kannadasan, R. Margarat, G. Simi Pandian, A. Pasumpon Antony Sibiya Varghese, V. Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Department of Software Systems School of Computer Science and Engineering Vellore Institute of Technology VIT University Tamil Nadu Vellore India Department of Computer Science and Engineering New Prince Shri Bhavani College of Engineering and Technology Tamil Nadu Chennai India Department of Computer Science and Engineering CARE College of Engineering Trichy India Department of Artificial Intelligence and Data Science GRT Institute of Engineering and Technology Tamil Nadu Tiruttani India

ISBN: (纸本)9798350383867

Optimization in ad hoc networks is a highly specialized task because the structure of the network is loosely formed, and each node is independently responsible for its operation. In order to obtain a better result from this solely formed networks this report offer extensive Dynamic Topology Management (DTM) method. Dynamic routing protocols lager lines, dividend balancing, Life-saving administration, guarantee of reliability, cross-layer design, security aspects and the on-time monitoring and discovery of topology changes are the main objectives and steps to be accomplished. Real-time Location monitoring and forest structure discovery are made possible by employing adaptive routing protocols, namely Dynamic Source Routing(DSR) and Ad-Hoc On-Demand Distance Vector(AODV). Also, the algorithms are capable of making advance adjustments to routing routes and resource allocations drawn from the mobility patterns forecasting which is vital. Load balancing methods, which distribute traffic in a network evenly, enable the system to run efficiently and avoid problems caused by overloading. Algorithms that are energy-efficient and make the best use of energy resources having their topology's optimized are introduced to the streamlined energy distribution systems. These algorithms are focused on the node's energy level. Through fault tolerance techniques which recognize and handle failures in nodes and partitioned networks, connectedness activity is a continuous one. Through QoS perception, the network topology might automatically be tailored to conform to the given quality criteria, thus not restricting the choice for differing applications. The proposed could have defenses against adversary nodes and their potential DDoS attacks which will enhance network protection. Yet another advantage of an architectural style that promotes cross-layer collaboration is enhanced topology management which is the goal around which the functions of various levels of the protocol stack revolve

关键词： Decision making

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Semi-supervised Balanced Distribution Adaptation Model for Intrusion Detection 2

Semi-supervised Balanced Distribution Adaptation Model for I...

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2nd international conference on computer Vision and Intelligent Technology

作者： Wang, Jianying Chen, Rongrong Zhang, Yong Huzhou Univ Huzhou Univ Lib Huzhou Peoples R China Dalian Univ Sch Software Engn Dalian Peoples R China Huzhou Univ Sch Informat Engn Huzhou Peoples R China Liaoning Normal Univ Dalian Sch Comp & Informat Technol Dalian Peoples R China

ISBN: (纸本)9798331540050;9798331540043

Intrusion Detection Systems (IDS) are essential for safeguarding modern network infrastructures against a wide range of cyber threats. However, the development of highly effective IDS models is often constrained by the limited availability of labeled data for training, as well as the issue of distribution shift when applying models across different network environments. To overcome these challenges, we present a semi-supervised balanced distribution adaptation (SSBDA) transfer learning method for detecting and preventing network intrusion, which learns from limited labeled data and predicts unlabeled data with different distributions. The proposed method first employs the maximum mean discrepancy measure the differences between the marginal and conditional distributions of both the source and target domains. The Hilbert-Schmidt independence criterion is then utilized to estimate the dependence between labels and features within the source domain. To further enhance the model's generalization ability, manifold regularization is applied to preserve the data's locality structure. Finally, the processed data is used to train a tri-training classifier. The SSBDA is compared with several well-known transfer learning-based models using the KDDCup99 and NSL-KDD data sets. The experimental results demonstrate that SSBDA outperforms the comparison models in terms of accuracy and F-score, highlighting its superior performance in intrusion detection tasks.

关键词： semi-supervised learning transfer learning domain adaptation intrusion detection

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Understanding the Implications: Critical Path Analysis vs Dependent Failure Analysis in ISO 26262 Safety Methodology 1

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31st European conference on Systems, software and Services Process Improvement (EuroSPI)

作者： Hussein, Mohammed Zeyad, Ahmed ElAdawy, Yasser SEITech Solut GmbH Ludwigsburg Germany

ISBN: (数字)9783031711398

ISBN: (纸本)9783031711381;9783031711398

ISO26262 - Parts 4,6,9 - 2nd edition [1-3] was published in December 2018 and addressed functional safety management and engineering at organizations and projects involved in safety activities for road vehicles and motorcycles, to provide them with requirements and work products needed to manage this activity in pre- and post-production phases for vehicles or vehicle systems. In this paper, we provide an insight between two distinct kinds of safety analysis methods tackling both properties, the (Technical) independence property as well as the freedom from interference property, one is standardized by ISO26262 - part 9 [3] which is the dependent failure analysis method (DFA), while the other one is not standardized by the ISO26262 - Parts 4,6,9 [1-3] and IEC 61508 [4] which is the critical path analysis method (CPA). The paper draws from the authors' past experiences in the automotive sector. In addition, the following case study is considered as one of the pilots for investigating the software-dependent failure analysis vs the critical path analysis by highlighting the approaches for each of them.

关键词： Functional Safety Safety Analysis Automotive software international Standard ISO ISO26262 IEC 61508 ASIL (Automotive Safety Integrity Level) QM FFI CF CCF Independence DFA CPA

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eWAPA: An eBPF-based WASI Performance Analysis Framework for WebAssembly Runtimes 2

eWAPA: An eBPF-based WASI Performance Analysis Framework for...

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

作者： Mao, Chenxi Su, Yuxin Shan, Shiwen Li, Dan Sun Yat Sen Univ Sch Software Engn Zhuhai Peoples R China

ISBN: (纸本)9798350368529;9798350368512

WebAssembly (Wasm) is a low-level bytecode format that can run in modern browsers. With the development of standalone runtimes and the improvement of the WebAssembly System Interface (WASI), Wasm has further provided a more complete sandboxed runtime experience for server-side applications, effectively expanding its application scenarios. However, the implementation of WASI varies across different runtimes, and suboptimal interface implementations can lead to performance degradation during interactions between the runtime and the operating system. Existing research mainly focuses on overall performance evaluation of runtimes, while studies on WASI implementations are relatively scarce. To tackle this problem, we propose an eBPF-based WASI performance analysis framework. It collects key performance metrics of the runtime under different I/O load conditions, such as total execution time, startup time, WASI execution time, and syscall time. We can comprehensively analyze the performance of the runtime's I/O interactions with the operating system. Additionally, we provide a detailed analysis of the causes behind two specific WASI performance anomalies. These analytical results will guide the optimization of standalone runtimes and WASI implementations, enhancing their efficiency.

关键词： WebAssembly Runtime WebAssembly System Interface I/O Performance Testing eBPF

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American Sign Language: Detection and Automatic Text Generation 2

American Sign Language: Detection and Automatic Text Generat...

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2nd international conference on Innovative Research in Applied science, engineering and Technology (IRASET)

作者： Farhan, Youssef Ait Madi, Abdessalam Ryahi, Abdennour Derwich, Fatima Ibn Tofail Univ Natl Sch Appl Sci Adv Syst Engn Lab Kenitra Morocco CONFA ELECTRO Co Res & Dev Dept Meknes Morocco

ISBN: (纸本)9781665422093

In our daily life, communication is crucial. For people who are hard of hearing (deaf or/and mute) sign language is the means of their communication. Nonetheless, many people are still unaware of sign languages, resulting in a communication gap. To improve communication between deafmutes and the hearing majority, this paper proposes an ASL (American Sign Language) detection system for 26 alphabets and three assisted signs, which can detect ASL captured by a standard computer camera, then generate an automatic text. SSD-MobileNet is used as the object detection model. The proposed system achieved precision and recall of 82.8% and 85.5% respectively.

关键词： American Sign Language SSD-MobileNet TensorFlow Object Detection API computer Vision

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Enhancement of Depth Map through Weighted Combination of Guided Image Filters in Shape-From-Focus 2

Enhancement of Depth Map through Weighted Combination of Gui...

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2nd international conference on Digital Futures and Transformative Technologies, ICoDT2 2022

作者： Ahmed, Zubair Shahzad, Ahsan Ali, Usman Department of Computer & Software Engineering Islamabad Pakistan Korea University of Technology and Education School of Computer Science & Engineering Korea Republic of

ISBN: (纸本)9781665498197

Estimation of depth map plays a key role in a number of computer vision applications. Shape from focus is a monocular approach that uses image focus as a cue to reconstruct 3D shapes. In the literature, a variety of guided image filters have been proposed to enhance the depth map individually. Among them, some have excess computational time burden, and some others produce unsatisfactory results. This paper proposed a framework for the enhancement of depth map by using a weighted combination of selected guided filters in shape from focus. The optimized weights are obtained using the particle swarm optimization approach, and the subset of best-performing filters is identified through a sequential forward search method. The experimental results have demonstrated that the proposed framework provides considerably improved depth maps. © 2022 IEEE.

关键词： Particle swarm optimization (PSO)

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Detailed Investigation of Influence of Machine learning (ML) and Big Data on Digital Transformation in Marketing 2

Detailed Investigation of Influence of Machine learning (ML)...

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2nd international conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2022

作者： Jain, Ankur Ramachandran, K.K. Sharma, Shikha Sharma, Trishu Pareek, Prakash Pant, Bhasker Iftm University Department of Computer Science & Engineering Uttar Pradesh Moradabad India Commerce/ Management Science Dr G R D College of Science India Amity College of Commerce Amity University Haryana India University Institute of Media Studies Chandigarh University Punjab Mohali India Vishnu Institute of Technology Department of ECE A.P. Bhimavaram India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9781665437899

The study explores with Machine learning (ML), which is a type of neural network (AI) that empowers software programmers to start increasing prediction without being done with full to do so. Because data is so valuable, improving strategies for intelligently having to manage the now-ubiquitous content infrastructures is a necessary part of the process toward completely autonomous agents. computer vision and computer vision have improved a wide range of industries, including medical diagnoses, data display and procedures, science and research, and so. Just as preparing for a sport may be risky for individuals who are prone to injury, learning from contaminated or erroneous data can be costly. As described in the article Approaching Data science, incorrectly trained algorithms result in expenses for a corporation rather than savings. Because incorrectly labeled, missing, or irrelevant data might impair the accuracy of any algorithm, organizations must be able to vouch for the quality and integrity of any data sets, along with their sources. © 2022 IEEE.

关键词： E-learning

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Neural Network-Based Sentiment Analysis and Emotional Data Mining of Movie Reviews 24

Neural Network-Based Sentiment Analysis and Emotional Data M...

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2nd international conference on Artificial Intelligence, Systems and Network Security, AISNS 2024

作者： Wang, Zengxiang Lv, Shiyao Wu, Deyan University of Electronic Science and Technology of China Sichuan Chengdu China Chengdu Vocational University of the Arts Sichuan Chengdu China Sichuan Institute of Computer Sciences Sichuan Chengdu China

ISBN: (纸本)9798400711237

With the increasing emphasis on spiritual and cultural enrichment, the film industry has seen remarkable growth, leading to a heightened demand for high-quality cinematic productions. Movie reviews, as a vital channel for capturing audience perspectives, provide valuable insights into films’ strengths and areas for improvement through detailed ratings and commentary. This thesis focuses on extracting reviews from the Internet Movie Database (IMDb), a prominent English-language film review platform, and organizing them systematically within a database. After comprehensive data cleaning, advanced analytical techniques, including word frequency analysis and neural network-based sentiment classification, will be employed to interpret the reviews. The results, such as word clouds, sentiment distributions, and emotional trends, will be visualized via an interactive front-end interface. This approach aims to offer a nuanced understanding of audience sentiment and language patterns, contributing to the development of intelligent tools for movie evaluation and cultural analysis. © 2024 Copyright held by the owner/author(s).

关键词： Sentiment analysis

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Medical BCFL: A blockchain-enabled federated learning architecture for secure healthcare data sharing 24

Medical BCFL: A blockchain-enabled federated learning archit...

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2nd international conference on Artificial Intelligence, Systems and Network Security, AISNS 2024

作者： Dong, Qianyu Liu, Jiazheng Jiang, Yuchen School of Cyber Science and Technology Shenzhen Campus Sun Yat-sen University Guangdong Shenzhen China School of Computer Science and Technology DongHua University Shanghai China

ISBN: (纸本)9798400711237

In response to the growing demand for secure healthcare systems, this paper disaplys a blockchain-enabled federated learning architecture called Medical BCFL. The architecture aims to address privacy concerns and facilitate secure healthcare data sharing by combining the decentralized nature of blockchain with the collaborative learning model of federated learning. First, a blockchain system is built through smart contracts to record model updates and participant reputations for each round of communication. Next, a federated learning system is built to ensure privacy protection during collaborative model training and encourage data sharing through a reward mechanism. Ultimately, a loosely coupled architecture is used to integrate the blockchain with the federated learning system, where model training takes place in the federated learning system and intermediate information is synchronized to the blockchain. The proposed method achieves over 92% accuracy in MNIST dataset in an adversarial setting of 40% malicious clients and 8% accuracy loss in a real-world BloodMNIST dataset with the same proportion of malicious clients. © 2024 Copyright held by the owner/author(s).

关键词： Federated learning

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A Design Method of Equipment Support Simulation Support software 2

A Design Method of Equipment Support Simulation Support Soft...

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2nd international conference on computer science and Blockchain, CCSB 2022

作者： Sun, Yong Wang, Hongfu Zhang, Shaopan Zhang, Jian Zhang, Yongle Zhou, Qiang Zhao, Jinqing Lu, Guangzhao China Research and Development Academy of Machinery Equipment Beijing100089 China

ISBN: (纸本)9798350331882

According to the needs of the field of equipment support simulation, this paper proposes a design method of equipment support simulation support software, and realizes the corresponding software based on this method. The method includes equipment support simulation initialization and data receiving module, equipment support equipment simulation module, equipment support command simulation module, ammunition and equipment support simulation module, rescue and repair support simulation module. Based on this method, the problem of equipment support simulation can be solved. © 2022 IEEE.

关键词： computer software

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