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Retinal recognition: Personal identification using blood vessels

Retinal recognition: Personal identification using blood ves...

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International Conference for Internet technology and Secured Transactions (ICITST)

作者： M. Usman Akram Anam Tariq Shoab A. Khan Department of Computer & Software Engineering Bahria University Islamabad Pakistan Department of Computer Engineering National University of Sciences and Technology Islamabad Pakistan

Biometrics are used for personal recognition based on some physiologic or behavioral characteristics. In this era, biometric security systems are widely used which mostly include fingerprint recognition, face recognition, iris and speech recognition etc. Retinal recognition based security systems are very rare due to retina acquisition problem but still it provides the most reliable and stable mean of biometric identification. This paper presents a four stage personal identification system using vascular pattern of human retina. In first step, it acquires and preprocesses the colored retinal image. Then blood vessels are enhanced and extracted using 2-D wavelet and adaptive thresholding respectively. In third stage, it performs feature extraction and filtration followed by vascular pattern matching in forth step. The proposed method is tested on three publicly available databases i.e DRIVE, STARE and VARIA. Experimental results show that the proposed method achieved an accuracy of 0.9485 and 0.9761 for vascular pattern extraction and personal recognition respectively.

关键词： Retina Bifurcation Feature extraction Biomedical imaging Blood vessels Databases Image segmentation

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How and How Much Should We Disclose?

How and How Much Should We Disclose?

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International Conference on Pervasive Computing and Applications (ICPCA)

作者： Kai Dong Wentian Lu Zhen Qin Yu Huang Xianping Tao Jian Lu State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China

Privacy risks result in great barriers to the long-term success of pervasive computing. Unfortunately, related researches can still be considered in its infancy. Access control is widely used for privacy protection. However, traditional access control methods can only negating or approving accesses, greatly lacking flexibility. In this paper, we introduce the disclosing degree for end-users to precisely and flexibly specify their privacy requirements. We implement a disclosing degree based scheme in the middleware Shadow for privacy protection. We also demonstrate the effectiveness of our scheme by comprehensive case-studies.

关键词： Wireless sensor networks Memory Distributed control Energy consumption Query processing Space technology Energy storage Costs computerized monitoring Databases

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A Cost Sensitive Approach for Virtual Network Reconfiguration

A Cost Sensitive Approach for Virtual Network Reconfiguratio...

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2014 IEEE computers,Communications and IT Applications Conference(ComComAp)

作者： Li Xu Guozhen Tan Xia Zhang Department of Computer Science and Technology Dalian University of Technology State Key Laboratory of Software Architecture(Neusoft Corporation)

ISBN: (纸本)9781479948109

Network Virtualization paves the way for sharing the physical infrastructure with many service providers and enables resources in physical substrate network being applied and provisioned as a form of Virtual Network(VN).However,there exist many obstacles in applications of this *** problem of VN embedding is commonly considered the most difficult one of *** existing research only considers the case of how to embed VN *** user demands on Virtual Network are dynamically changing,how to efficiently reconfigure VN to adapt to changing demand is challenging *** this paper,our objective is to find way for optimally reorganize VN that already embedded on VN in a cost sensitive way to meet the changed *** address this problem by proposing a cost sensitive VN reconfiguration approach.A heuristic VN reconfiguration algorithm with virtual node and virtual link migration and swapping strategy is *** validate and evaluate the given algorithms by conducting experiments in high fidelity emulation *** evaluation results show that the proposed approach can effectively reconfigure VN while minimizing cost and fragmentation of *** comparing our algorithms with others,the given reconfiguration algorithm outperforms existing solutions.

关键词： Network Virtualization Virtual Network Virtual network reconfiguration

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Differential evolution enhanced with evolution path vector

Differential evolution enhanced with evolution path vector

引用

15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013

作者： Li, Yuan-Long Zhan, Zhi-Hui Zhang, Jun Department of Computer Science Sun Yat-sen University Guangzhou 510275 China Key Laboratory of Digital Life Ministry of Education China Education Dept. of Guangdong Province Key Laboratory of Software Technology China

ISBN: (纸本)9781450319645

and centralized model (CM) offspring generation models, this paper proposes to use the differential evolution (DE) algorithm as the base population reproduction method and enhance its DM scheme with one of the key CM features, which is the covariance matrix adaptation (CMA) used in CMA-ES. In this way, an enhanced DE population reproduction scheme with evolution path (DE/EP) is developed. The proposed DE/EP scheme is kept almost as simple as the original DE but works better due to the advantages of the CMA feature.

关键词： Evolutionary algorithms

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Robust Stability Region of PI Controllers for an Interval Time Delayed Load Frequency Control

Robust Stability Region of PI Controllers for an Interval Ti...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Majid Ghorbani Komeil Nosrati Aleksei Tepljakov Juri Belikov Eduard Petlenkov The Department of Computer Systems Tallinn University of Technology Tallinn Estonia Department of Software Science Tallinn University of Technology Tallinn Estonia

ISBN: (数字)9798350390421

ISBN: (纸本)9798350390438

Transmission delays, load fluctuations, and intermittent output power of renewable energy sources will all have a substantial impact on frequency stability in microgrids (MGs). In response, various types of advanced control techniques were employed to improve the performance of the load frequency control (LFC) systems. Notwithstanding this, the fragility of the current techniques makes LFC systems vulnerable to parametric (interval) uncertainties associated with communication time delay. Inspired by recent breakthroughs in robust control, in this study, we device a novel graphical tuning method of the PI controller for tackling this issue. First, we determine the shape of the value set for the characteristic function of uncertain LFC system. Then, the exposed edges are constructed to the boundary of this set under interval uncertainties. To accomplish this step and thanks to the D-decomposition method, the robust stability region in the parameter space of the controllers are determined. Our devised methodology contributes a family of robust stabilizing controllers, instead of just one, where it enables a more flexible choice for the controller parameters. The efficacy of the proposed methodology is indicated on a given single-area MG.

关键词： Robust control PI control Uncertainty Robust stability Shape Delay effects Europe Delays Smart grids Tuning

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A Novel ROI-Based Rate Control Scheme for H.264

A Novel ROI-Based Rate Control Scheme for H.264

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The 9th International Conference for Young computer Scientists(第九届国际青年计算机大会)

作者： Shaoyuan Yue Baocai Yin Yunhui Shi Yi Huo Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Scienc Department of Computer Science and Technology College of Career Technology HeBei Normal University

For the limited bandwidth and other limiting factors in the video coding, the visual quality always cannot satisfy the clients, especially the subjective visual quality. This paper proposes a novel ROI-based rate control scheme for H.264/AVS, aiming at improving the subjective visual quality. In our scheme, an efficient method is presented for extracting Region-of-Interest (ROI) adaptively and exactly with introducing some new concepts. Relatively more bits are allocated to Region-of-Interest and the frames with high complexity. The extensive experimental results show that proposed rate control scheme can control bit rates more accurately and achieve better subjective visual quality than the rate control scheme JVT-G012 in the latest JVT H.264/AVC reference model JM11.0.

关键词： ROI rate control subjective visual quality.

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A community evolution model based on visibility graph 34

A community evolution model based on visibility graph

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34th Chinese Control Conference, CCC 2015

作者： Hong, Wang Yan-Shen, Sun School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China Department of Earth Sciences Zhejiang University Hangzhou China

ISBN: (纸本)9789881563897

One of the most important work to analyze networks is community detection. We present a dynamic community discovery method based on Visibility Graph. Firstly, we put forward related definitions of Visibility Graph for multi-dimensional time series. Then, we present algorithms to describe how to use Visibility Graph in finding communities in complex networks. Finally, we present algorithms to find dynamic multi-relational communities. We apply our method in some real data sets. Experimental results show that our methods do better for finding dynamic communities in complex networks. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： community discovery community evolution complex network visibility graph

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Towards a holistic approach to redesigning legacy applications for the Web with UWAT+

Towards a holistic approach to redesigning legacy applicatio...

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(CSMR) European Conference on software Maintenance and Reengineering

作者： D. Distante S. Tilley G. Canfora Research Centre on Software Technology University of Sannio Italy Department of Computer Sciences Florida Institute of Technology USA

Web applications design methodologies hold the promise of engineering high-quality and long-lived Web systems and rich Internet applications. However, many such methodologies focus solely on green-field development, and do not properly address the situation of leveraging the value locked in legacy systems. This paper proposes a holistic approach to redesigning legacy applications for the Web using the ubiquitous Web applications design framework (UWA) and an extended version of its transaction design model (UWAT+). The approach blends design recovery technologies for capturing the know-how embedded in the legacy application with forward design methods particularly well suited for Web-based systems

关键词： Application software Design methodology User interfaces Design engineering Internet Navigation software design Best practices Usability Guidelines

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Online Neural Fiber Classification Method based on Lightweight Neural Network 7

Online Neural Fiber Classification Method based on Lightweig...

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7th International Conference on Image, Vision and Computing, ICIVC 2022

作者： Xu, Baolei Li, Xiaojie Shi, Canghong Sichuan University of Arts and Sciences Key Laboratory of Exploitation and Study of Distinctive Plants in Education Department of Sichuan Province Dazhou China Chengdu University of Information Technology School of Computer Science Chengdu China Xihua University School of Computer Science and Software Engineering Chengdu China

ISBN: (数字)9781665467346

ISBN: (纸本)9781665467346

Traditional neural fiber classification methods are generally difficult to balance classification accuracy and algorithm complexity, and there is a problem of relying on manual intervention, mainly including manual drawing of region of interest (ROI) and manual screening of target fiber bundles, resulting in uncertainty of classification results and large data error. To reduce manual intervention, balance accuracy and algorithm complexity, a simple and effective BP neural network model combined with fast image processing algorithm is proposed. Based on the neural fiber map information, this method uses the fiber coordinate information to train the classification network structure and realize the online fiber classification. While improving the classification accuracy, it also reduces the complexity of the algorithm and does not need to know the distribution of fibers in advance. Compared with several typical classification algorithms, BP neural network model has strong robustness and can effectively prevent over-fitting. The experimental results show that the method performs well in several classifiers, and the classification accuracy is optimal. The experimental training accuracy is 0.9824, and the test accuracy is 0.9774. © 2022 IEEE.

关键词： Neural networks

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AI-Enhanced Multi-Cloud Security Management: Ensuring Robust Cybersecurity in Hybrid Cloud Environments

AI-Enhanced Multi-Cloud Security Management: Ensuring Robust...

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2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023

作者： Srimathi, J. Kanagasabapathi, K. Mahajan, Kirti Ahamad, Shahanawaj Soumya, E. Barthwal, Shivangi KPR College of Arts Science and Research Department of Information Technology Covai Arasur641407 India Karpagam College of Engineering Computer Science and Technology Coimbatore India Bharati Vidyapeeth Deemed University Institute of Management & Entrepreneurship Development Department of Information Technology Pune411030 India University of Hail College of Computer Science and Engineering Department of Software Engineering Hail City Saudi Arabia St. Martins Engineering College Department of Computer Science and Engineering Telangana Secunderabad India Graphic Era Deemed to Be University Department of Electronics & Communication Engineering Uttarakhand Dehradun248002 India

ISBN: (纸本)9798350319200

The complex landscape of multi-cloud settings is the result of the fast growth of cloud computing and the ever-changing needs of contemporary organizations. Strong cyber defenses are of fundamental importance in this setting. In this study, we investigate the use of AI in hybrid cloud settings for the purpose of multi-cloud security management. To help businesses improve their productivity and resilience, we provide a mathematical model for optimal resource allocation. Our methodology streamlines dynamic threat assessments, making it easier for security teams to efficiently priorities vulnerabilities. The advent of a new age of real-time threat response is heralded by the incorporation of AI-driven security tactics. The technique we use has real-world implications that may help businesses stay ahead of constantly changing threats. In the future, scientists will focus on autonomous security systems, interoperability, ethics, interoperability, and cutting-edge AI models that have been validated in the real world. This study provides a detailed road map for businesses to follow as they navigate the complex cybersecurity landscape of multi-cloud settings, therefore promoting resilience and agility in this era of digital transformation. © 2023 IEEE.

关键词： Adaptive Security Systems Artificial Intelligence Autonomous Security Cybersecurity Hybrid Cloud Multi-Cloud Security Quantum Computing Real-Time Threat Response Threat Assessment

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