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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Changlu Guo Márton Szemenyei Yang Pei Yugen Yi Wei Zhou Department of Control Engineering and Information Technology Budapest University of Technology and Economics Budapest Hungary Budapest University of Technology and Economics Budapest Hungary School of Software Jiangxi Normal University Nanchang China College of Computer Science Shenyang Aerospace University Shenyang China

ISBN: (纸本)9781728146188

At present, artificial visual diagnosis of fundus diseases has low manual reading efficiency and strong subjectivity, which easily causes false and missed detections. Automatic segmentation of retinal blood vessels in fundus images is very effective for early diagnosis of diseases such as the hypertension and diabetes. In this paper, we utilize the U-shaped structure to exploit the local features of the retinal vessels and perform retinal vessel segmentation in an end-to-end manner. Inspired by the recently DropBlock, we propose a new method called Structured Dropout U-Net (SD-Unet), which abandons the traditional dropout for convolutional layers, and applies the structured dropout to regularize U-Net. Compared to the state-of-the-art methods, we demonstrate the superior performance of the proposed approach.

关键词： Image segmentation Biomedical imaging Blood vessels Training Retinal vessels Diseases

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False Trajectory Privacy Protection Scheme Based on Location Service

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IOP Conference Series: Materials science and engineering 2020年第7期768卷

作者： Chen Yang Wei Yan School of Software Dalian University of Foreign Languages Dalian China School of Computer Science and Technology Harbin Engineering University Harbin China Department of Information Liaoning Police College Dalian China School of Software Dalian University of Technology Dalian China

When the user applies for a location continuous query service, the user location privacy may be revealed due to different types of trajectory identification. A false trajectory privacy protection scheme is proposed, which uses the real-time generation of similar trajectories to protect the user's personal location privacy. The false location set is established by initial anonymous location selection, similar trajectory location calculation and generated location selection. The false location is used to form a false trajectory similar to the real location trajectory, which reduces the probability of attacker identification and achieves real-time trajectory anonymity based on location service. Finally, the effectiveness of the scheme is verified by performance analysis and experimental results.

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An efficient quantum blind digital signature scheme

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science China(Information sciences) 2017年第8期60卷 226-239页

作者： Hong LAI Mingxing LUO Josef PIEPRZYK Zhiguo QU Shudong LI Mehmet A.ORGUN College of Computer and Information Science Southwest University Information Security and National Computing Grid Laboratory School of Information Science and TechnologySouthwest Jiaotong University School of Electrical Engineering and Computer Science Queensland University of Technology Institute of Computer Science Polish Academy of Sciences School of Computer and Software Nanjing University of Information Science and Technology College of Mathematics and Information Science Shandong Technology and Business University School of Computer Science National University of Defense Technology Department of Computing Macquarie University Faculty of Information Technology Macau University of Science and Technology

Recently, many quantum digital signature(QDS) schemes have been proposed to authenticate the integration of a message. However, these quantum signature schemes just consider the situation for bit messages,and the signing-verifying of one-bit modality. So, their signature efficiency is very low. In this paper, we propose a scheme based on an application of Fibonacci-, Lucas-and Fibonacci-Lucas matrix coding to quantum digital signatures based on a recently proposed quantum key distribution(QKD) system. Our scheme can sign a large number of digital messages every time. Moreover, these special matrices provide a method to verify the integration of information received by the participants, to authenticate the identity of the participants, and to improve the efficiency for signing-verifying. Therefore, our signature scheme is more practical than the existing schemes.

关键词： blind quantum digital signature Fibonacci- Lucas-and Fibonacci-Lucas matrix coding digital messages signing-verifying modality

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An Effective Stock Clustering Method Based on Hybrid Correlation Coefficient

An Effective Stock Clustering Method Based on Hybrid Correla...

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International Conference on computer Supported Cooperative Work in Design

作者： Yahui Lu Xiaochu Tang Hui Wang College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Management Shenzhen University Shenzhen China

Clustering stocks by their time series data is a significant but challenging task in computer supported financial decision systems. In this paper, we propose an effective stocks clustering method based on hybrid correlation coefficient called SLU correlation coefficient which is a weighted combination of Spearman rank correlation, upper tail correlation and lower tail correlation. The upper and lower tail correlation is defined by Copula function and estimates parameters by EM algorithm. The similarity matrix is defined by SLU and inputs into Affinity Propagation algorithm for clustering. The experiment shows the effectiveness of the SLU, compared to Pearson correlation and DTW distance.

关键词： Handheld computers Conferences Collaborative work

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An Efficient File System for Hybrid In-Memory NVM and Block Devices

An Efficient File System for Hybrid In-Memory NVM and Block ...

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IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA)

作者： Yuansong Zeng Edwin H.-M. Sha Qingfeng Zhuge Xianzhang Chen Zhulin Ma Lin Wu School of Computer Science and Software Engineering East China Normal University Shanghai China College of Computer Science Chongqing University Chongqing China

ISBN: (纸本)9781538674048

Emerging Non-Volatile Memory (NVM) technologies are promised to revolutionize storage systems by providing fast, persist data accesses on memory bus. However, the limited capacity of NVM devices calls for multi-layer storage topology that is able to combine fast, expensive NVM with slower, cheaper block devices to harness the characteristics of both technologies. This paper proposes an efficient file system named NBFS for hybrid in-memory NVM and block devices. NBFS can distribute the data pages of a single file to multiple memory nodes in NUMA architecture and multiple block devices. To take full advantages of NVM, NBFS provides a mechanism to migrate file data between NVM and block devices according to the data access features. Besides, we design a resource pool for block devices to minimize additional storage and performance overhead. Experimental results show that in write-intensive workloads, our design performs well and has a high bandwidth.

关键词： Nonvolatile memory Performance evaluation Bandwidth Media Layout software computer architecture

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Trust-Based Security Routing Mechanism in Mobile Social Networks

Trust-Based Security Routing Mechanism in Mobile Social Netw...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Shuang Yang Xingwei Wang Shuang Zhang Min Huang College of Computer Science and Engineering Northeastern University Shenyang China College of Software Northeastern University Shenyang China College of Information Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781538680988;9781538680971

Malicious and selfish behaviors represent a serious security threat against routing in Mobile Social Network (MSN). Due to the unique network characteristics, it is a challenge to design a misbehavior detection scheme in MSN. In this paper, a trust-based security routing mechanism is presented, i.e. a malicious behavior detection mechanism with identity verification scheme. The main idea is to introduce the behavior trust and identity trust to guide the routing. Firstly, we judge the node's behavior based on both comprehensive trust and social relationship strength. And then, we forward messages according to the different measurement within and outside of the friend groups. Besides, we also propose a distributed key management scheme to further improve the efficiency of the proposed mechanism via verifying the identity trust of the node. The simulation results indicate that the proposed routing mechanism can lower the impact of malicious behavior of nodes effectively and it has greater security performance than some classical routing algorithms.

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Green Energy Sources: Issues and Challenges

Green Energy Sources: Issues and Challenges

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Roedunet International Conference (RoEduNet)

作者： Mostafa Abdulghafoor Mohammed Inas Adnan Mohammed Raed.A. Hasan Nicolae Ţăpuş Ahmed Hussien Ali Omar A. Hammood Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania The Great Emam University College Baghdad University of Information Technology and Communications / college of Engineering/ Baghdad Iraq Faculty of Al-dour Technical institute Northern Technical University Mosel IRAQ Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania Computer Science Department AL Salam University College Baghdad Iraq Faculty of Computer Systems and Software Engineering UniversityMalaysia Pahang Malaysia

Mobile offloading is a platform that facilitates the distribution of computationally intensive tasks from mobile devices to the cloud or other devices in order to conserve energy and improve performance. The concept is practically based on the idea of exchanging relatively low communication energy for high computation power utilization. Efforts have been channeled towards energy conservation by clusters using Dynamic Power Management (DPM). This paper is a review for green energy sources for reducing energy and using energy consumption to manage sources by stating the latest studies of energy consumption and energy consumptions.

关键词： Energy consumption Task analysis Servers Energy efficiency Power system management Voltage control Cloud computing

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On the Dual p-Measures of Asymmetry for Star Bodies

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Wuhan University Journal of Natural sciences 2018年第6期23卷 465-470页

作者： HUANG Xing ZHU Huawei GUO Qi School of Mathematics and Information Science Guangzhou University Guangzhou 51006 Guangdong China Academy for Intelligent Software Guangzhou University Guangzhou 51006 Guangdong China Guangdong Provincial Engineering and Technology Research Center for Mathematical Education Software Guangzhou University Guangzhou 510006 Guangdong China Institute of Mathematics and Computer Science GuizhouNormal College Guiyang 550018 Guizhou China Department of Mathematics Suzhou University of Scienceand Technology Suzhou 215009 Jiangsu China

Recently, the connection between p-measures of asymmetry and the L_p-mixed volumes for convex bodies was found soon after the p-measure of asymmetry was proposed, and the Orlicz-measures of asymmetry was proposed inspired by such a kind of connection. In this paper, by a similar way the dual p-measures of asymmetry for star bodies（naturally for convex bodies） is introduced first. Then the connection between dual p-measures of asymmetry and Lp-dual mixed volumes is established. Finally, the best lower and upper bounds of dual p-measures and the corresponding extremal bodies are discussed.

关键词： convex body dual p-measures of asymmetry Lp -dual mixed volumes

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Convolutional sparse coding for compressed sensing ct reconstruction

arXiv

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arXiv 2019年

作者： Bao, Peng Xia, Wenjun Yang, Kang Chen, Weiyan Chen, Mianyi Xi, Yan Niu, Shanzhou Zhou, Jiliu Zhang, He Sun, Huaiqiang Wang, Zhangyang Zhang, Yi College of Computer Science Sichuan University Chengdu610065 China Key Laboratory of High Confidence Software Technologies Ministry of Education Beijing China School of Electronics Engineering and Computer Science Peking University China Shanghai First-imaging Information Technology co. LTD School of Mathematics and Computer Science Gannan Normal University Ganzhou341000 China State University of New Jersey RutgersNJ08854 United States Department of Radiology West China Hospital of Sichuan University Chengdu610041 China Department of Computer Science and Engineering Texas AandM University United States

Over the past few years, dictionary learning (DL)-based methods have been successfully used in various image reconstruction problems. However, traditional DL-based computed tomography (CT) reconstruction methods are patch-based and ignore the consistency of pixels in overlapped patches. In addition, the features learned by these methods always contain shifted versions of the same features. In recent years, convolutional sparse coding (CSC) has been developed to address these problems. In this paper, inspired by several successful applications of CSC in the field of signal processing, we explore the potential of CSC in sparse-view CT reconstruction. By directly working on the whole image, without the necessity of dividing the image into overlapped patches in DL-based methods, the proposed methods can maintain more details and avoid artifacts caused by patch aggregation. With predetermined filters, an alternating scheme is developed to optimize the objective function. Extensive experiments with simulated and real CT data were performed to validate the effectiveness of the proposed methods. Qualitative and quantitative results demonstrate that the proposed methods achieve better performance than several existing state-of-the-art methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Convolution

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A New Type-2 Intuitionistic Exponential Triangular Fuzzy Number and Its Ranking Method with Centroid Concept and Euclidean Distance

A New Type-2 Intuitionistic Exponential Triangular Fuzzy Num...

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IEEE International Conference on Fuzzy Systems

作者： Salim Rezvani Xizhao Wang Big Data Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen Guangdong China

This paper introduces a new type-2 intuitionistic exponential triangular fuzzy number. Basic generalized exponential triangular intuitionistic fuzzy numbers are formulated by (α,β)-cuts. Some of properties and theorems of this type of fuzzy number with graphical representations have been studied and some examples are given to show the effectiveness of the proposed method. Also, the ranking function of the generalized exponential triangular intuitionistic fuzzy number is computed. This ranking method is based on the centroid concept and Euclidean distance. Based on the ranking method, we develop an approach to solving an intuitionistic fuzzy assignment problem where cost is not deterministic numbers but imprecise ones. Then, we solve an intuitionistic fuzzy transportation problem where transportation cost, source, and demand were generalized type-2 intuitionistic fuzzy numbers by the ranking method for Euclidean distance. Intuitionistic fuzzy set theory has been used for analyzing the fuzzy system reliability. We have taken the intuitionistic fuzzy failure to start of an automobile as known basic fault events such as Ignition failure, Battery internal shortage, Spark plug failure and fuel pump failure using Type-2 Intuitionistic Exponential Triangular Fuzzy Number. Our computational procedure is very simple to implement for calculations in intuitionistic fuzzy failure. The major advantage of using Intuitionistic fuzzy sets over fuzzy sets is that intuitionistic fuzzy sets separate the positive and the negative evidence for the membership of an element in a set. Furthermore, the proposed technique can be suitably utilized to solve the start of an automobile problem, because the result of system failure in this method is significant. Finally, the proposed method has been compared with other existing method through numerical examples.

关键词： Fuzzy sets Fault trees Euclidean distance Transportation Fuzzy systems Reliability Indexes

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