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检索条件"任意字段=2018 International Conference on Computing and Data Engineering, ICCDE 2018"

共 4997 条记录，以下是1-10 订阅

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Proceedings - 2018 IEEE/ACIS 3rd international conference on Big data, Cloud computing, data Science and engineering, BCD 2018

Proceedings - 2018 IEEE/ACIS 3rd International Conference on...

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3rd IEEE/ACIS international conference on Big data, Cloud computing, data Science and engineering, BCD 2018

ISBN: (纸本)9781538656051

The proceedings contain 18 papers. The topics discussed include: cancer gene analysis of microarray data;fault-prone source file analysis focusing on the contribution entropy in open source development;community information's effects on user emotions and behaviors;parallelizing the construction of a k-dimensional tree;a study of practical education program on AI, big data, and cloud computing through development of automatic ordering system;tool breakage detection using deep learning;predictability classification for software effort estimation;characteristics of unmaintainable source code in software development by multiple organizations;and understanding popularity growth of packages in javascript package ecosystem.

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Proceedings of the 8th international conference Confluence 2018 on Cloud computing, data Science and engineering, Confluence 2018

Proceedings of the 8th International Conference Confluence 2...

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8th international conference Confluence on Cloud computing, data Science and engineering, Confluence 2018

ISBN: (纸本)9781538617182

The proceedings contain 158 papers. The topics discussed include: a new clustering method using an augmentation to the self organizing maps;a study on machine learning based generalized automated seizure detection system;maximum correlation with migration control based on modified knapsack(MC-MC) approach for VM selection for green cloud computing;detection of rumor in social media;a comparative study of security features provided by different cloud services to enterprises;a comparative analysis of various congestion control schemes in wireless sensor networks;IoT based weather and location aware recommender system;importance of user's profile attributes in identity matching across multiple online social networking sites;and random grid based extended visual secret sharing scheme for image authentication.

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Proceedings - 17th IEEE international conference on Trust, Security and Privacy in computing and Communications and 12th IEEE international conference on Big data Science and engineering, Trustcom/BigdataSE 2018

Proceedings - 17th IEEE International Conference on Trust, S...

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17th IEEE international conference on Trust, Security and Privacy in computing and Communications and 12th IEEE international conference on Big data Science and engineering, Trustcom/BigdataSE 2018

ISBN: (纸本)9781538643877

The proceedings contain 287 papers. The topics discussed include: evaluation of flexilink as deterministic unified real-time protocol for industrial networks;understanding trust, privacy and financial fears in online payment;DecentID: decentralized and privacy-preserving identity storage system using smart contracts;reputation prediction using influence conversion;secure, resilient, and self-configuring fog architecture for untrustworthy IoT environments;Repoxy: replication proxy for trustworthy SDN controller operation;a dynamic trust weight allocation technique for data reconstruction in mobile wireless sensor networks;encrypted domain Mel-frequency cepstral coefficient and fragile audio watermarking;a privacy-preserving multipurpose watermarking scheme for audio authentication and protection;dynamic survivable path routing for fast changing IoT network topologies;BARS: a blockchain-based anonymous reputation system for trust management in VANETs;a universal secret sharing scheme with general access structure based on CRT;and ESRQ: an efficient secure routing method in wireless sensor networks based on Q-learning.

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Proceedings of the 8th international conference Confluence 2018 on Cloud computing, data Science and engineering

Proceedings of the 8th International Conference Confluence 2...

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international conference on Confluence The Next Generation Information Technology Summit (Confluence)

作者： Abhay Bansal Amity University Amity School of Engineering & Technology Department of Computer Science & Engineering Uttar Pradesh

The following topics are dealt with: data mining; cloud computing; learning (artificial intelligence); security of data; pattern classification; health care; social networking (online); Internet of Things; Internet; d... 详细信息

ISBN: (纸本)9781538617205;9781538617199

关键词： Cloud computing data science Australia Industries Computer science Publishing Libraries

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Soft computing in data Analytics: Proceedings of international conference on SCDA 2018

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2018年

作者： Janmenjoy Nayak Ajith Abraham B Murali Krishna G T Chandra Sekhar Asit Kumar Das

ISBN: (纸本)9789811305139

The volume containsoriginal research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the international conference on Soft computing in data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches.

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Fusion of data dimensionality reduction algorithms baced on category representation theory 4

Fusion of data dimensionality reduction algorithms baced on ...

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

作者： Xu, Xiaoxiang Li, Fanzhang Zhang, Li School of Computer Science and Technology Joint International Research Laboratory of Machine Learning and Neuromorphic Computing Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

ISBN: (纸本)9781510687615

For a long time, people have believed that representation problems are one of the bottlenecks in the field of machine learning. Therefore, it is a long-term and exploratory work to study machine learning representation methods. Due to this, we use category theory to study the fusion representation of data dimensionality reduction. We propose the basic concept of category representation for data dimensionality reduction and provide a data dimensionality reduction fusion representation framework. We have conducted research and analysis on algorithms such as PCA, KPCA, and LDA, identified the essential connection between PCA, KPCA, and LDA and proposed a data dimensionality reduction fusion representation algorithm based on a data dimensionality reduction fusion representation framework. Finally, we demonstrated the feasibility of the proposed method through experiments. © 2025 SPIE.

关键词： Dimensionality reduction

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Analysis and design of pervasive computing intelligent surveillance system integrating optical sensors and behavioral analysis for industrial internet 2

Analysis and design of pervasive computing intelligent surve...

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2nd international conference on Big data, Computational Intelligence, and Applications, BDCIA 2024

作者： Yao, Di Luo, Chenyao Cheng, Weiwei Song, Huaju Beijing100083 China Portland Institute Nanjing University of Posts and Telecommunications Nanjing210003 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China School of Environmental Science NanJing XiaoZhuang University Nanjing210017 China

ISBN: (纸本)9781510689053

Nowadays, the surveillance system performing as an indispensable part for modern industrial Internet has attracted much attention. With the continuous progress of microprocessor technology, sensor technology, particularly optical sensors, and network technology, it has entered the era of pervasive computing, which leads to the breakthrough of the surveillance system and the emergence of intelligent environment safety monitoring systems. However, the intelligence of surveillance systems is still a significant challenge. In this paper, we propose a surveillance system for detecting and recognizing people based on their behaviors from images or video sequences using computer vision techniques and optical sensor data, which is implemented by designing the system architecture through a hierarchical structure, applying key techniques such as background subtraction, modeling, and optical sensing analysis, and experimentally processing and testing a variety of behavioral samples. The alarm information generated by the proposed surveillance system aided by pervasive computing system can be delivered to remote terminals. Experimental results reveal that the environmental monitoring and alarm information can be processed in real time with devices, such as cell phones, telephones, and PCs. Therefore, the proposed approach can improve the performance of the surveillance systems. © 2025 SPIE.

关键词： Alarm systems

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On development of a pervasive computing aided assistive systems for the elderly in Internet of Things 2

On development of a pervasive computing aided assistive syst...

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2nd international conference on Big data, Computational Intelligence, and Applications, BDCIA 2024

作者： Yao, Di Xing, Yutao Luo, Chenyao Song, Huaju Beijing100083 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Portland Institute Nanjing University of Posts and Telecommunications Nanjing210003 China School of Environmental Science Nanjing XiaoZhuang University Nanjing210017 China

ISBN: (纸本)9781510689053

With the rapid development of sensors, wireless communication, and computing technology, Internet of Things (IoT) has gained significant research interest. In particular, increasing people-oriented applications and systems have been developed to improve the quality of life with intelligent services. In this paper, we propose a situational awareness system based on pervasive computing. In response to the current situation of a large number of elderly people living alone or lacking care, an intelligent assistance system model for elderly people living alone is proposed, aiming to solve problems such as forgetting to turn off lights caused by memory decline, falls caused by mobility impairment, and loss of dementia elderly people. Furthermore, we adopt the OSGi architecture to implement the proposed system. In addition, a virtual device module is designed to shield underlying device heterogeneity ensuring seamless collaboration between devices and services. To further enhance the system's capabilities, optical sensors are integrated for intelligent health monitoring, enabling real-time tracking of vital signs such as heart rate and respiratory rate, as well as early detection of potential health anomalies. To make services transparent to users, we explore the integration methods of distributed sensors and intelligent devices in pervasive computing environments. Experimental results indicate that the system can effectively improve the comfort and safety of elderly people's lives, enhance the convenience of daily affairs and risk prevention and control capabilities. Therefore, the developed system not only provides a technical framework for intelligent assistance systems for the elderly, but also has significant implications for the application of pervasive computing in the field of social welfare. © 2025 SPIE.

关键词： Assistive technology

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Research on dynamic network security detection technology based on SDN 4

Research on dynamic network security detection technology ba...

引用

4th international conference on Network Communication and Information Security, ICNCIS 2024

作者： Zhao, Kai Beijing Polytechnic Beijing100176 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

Traditional network architecture can no longer meet the development needs of technologies such as cloud computing and big data. SDN network architecture has the characteristics of high openness and programmability, which can quickly respond to changes in business requirements. SDN decouples the control management function of the network from the data forwarding function, simplifies network configuration work based on logic centralized controllers and open programming interfaces, thereby achieving a flat management mode and flexible data forwarding function. The centralized control and programmability of SDN networks also pose significant security threats to SDN. Based on the CSE-CIC-IDS2018 dataset, this article tests the performance of various intelligent learning algorithms, analyzes data flows, distinguishes normal data from abnormal data, improves detection accuracy, and has practical significance for the security defense of SDN networks. © 2025 SPIE.

关键词： Network security Computer security Network architectures Control systems Machine learning data transmission Defense and security Detection and tracking algorithms Information security Security technologies

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Infrared Dim and Small Target Detection Based on Frequency data Sphering 1

Infrared Dim and Small Target Detection Based on Frequency D...

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1st international conference on Intelligent Manufacturing and Cloud computing, ICIMCC 2024

作者： Luo, Yuan Li, Xiaorun Chen, Shuhan Ma, Zhangteng College of Electrical Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781643685779

Infrared (IR) dim and small target detection has attracted increasing attention. Whereas, many existing methods have not met expectations in terms of overall performance. In this paper, we propose a novel IR dim and small target detection method based on frequency data sphering to better address these issues. First, we construct a spatial-temporal tensor of the original IR sequence, which is then transformed from the spatial domain to the frequency domain. Next, a high-pass filter is designed for obtaining a high-pass filtered tensor. Then, a frequency data sphered space is constructed, and the high-pass filtered tensor is mapped to this space, resulting in a frequency data sphered tensor. This tensor is then transformed back to the spatial domain. Finally, a designed information filter is utilized to achieve the target detection results. Comprehensive experiments and analysis demonstrate the superior performance of the proposed method in terms of target detection efficiency, background suppressibility, and overall performance. © 2025 The Authors.

关键词： High pass filters

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