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IEEE International Conference on Cloud computing, CLOUD

作者： Zhanghui Liu Tao Xiang Bing Lin Xinshu Ye Haijiang Wang Ying Zhang Xing Chen Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou China College of Physics and Energy Fujian Normal University College of Mathematics and Computer Science Fuzhou University

In cloud computing environments, data centers can provide high-performance computing resources and distributed storage space. Scientific workflows often need to be implemented across multiple data centers, where copious amounts of application data are stored. Moving data across geographically distributed data centers leads to intolerable delays and hinders the efficient execution of scientific workflows, which are large-scale data-intensive. Reasonable data placement can reduce data scheduling between the data centers effectively. In this paper, an adaptive discrete particle swarm optimization (PSO) algorithm based on genetic algorithm has been proposed to decrease the number of data transmissions across data centers. The algorithm overcame the premature convergence defect of PSO by introducing the mutation and crossover of genetic algorithm. Moreover, it effectively improved the diversity in the process of population evolution. Compared with the previous work, the simulation results showed that the proposed strategy greatly reduced the volume of data transfer while reducing the number of data movement across data centers.

关键词： Data centers Task analysis Cloud computing Genetic algorithms Data communication Layout Particle swarm optimization

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Integrating MOOCs with Traditional Classroom Instruction to Improve Teaching Effectiveness

Integrating MOOCs with Traditional Classroom Instruction to ...

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2017 2nd International Seminar on Education Innovation and Economic Management(SEIEM 2017)

作者： Xiaodong Wu Yuzhu Zeng Faculty of Mathematics and Computer Science Quanzhou Normal University Fujian Provincial Key Laboratory of Data Intensive Computing Key Laboratory of Intelligent Computing and Information Processing Fujian Province University

Massive Open Online Course(MOOC) is a new teaching mode appeared in recent years and its emergence has constituted some challenge to the traditional teaching. However, MOOCs teaching mode has both advantages and disadvantages. In this paper, both the merits and the demerits of MOOC education are analyzed. We point out that the MOOC education mode and the traditional face-to-face classroom instruction should be combined together so as to improve the teaching effectiveness in modern education. Finally, how to blend the MOOC mode and the traditional classroom teaching and further utilize the network platform to improve the teaching efficiency in several learning phases are examined.

关键词： MOOCs face-to-face teaching traditional teaching network teaching platform

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The Order and Failure Estimation of Redundancy System Based on Cobweb Model 4th

The Order and Failure Estimation of Redundancy System Based ...

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4th Euro-China Conference on intelligent Data Analysis and Applications, ECC 2017

作者： Xie, Chao-Fan Xu, Lin Xu, Lu-Xiong Zhang, Fuquan Network Center Fuqing Branch of Fujian Normal University Fuqing FuzhouFujian China Economic Institute Fujian Normal University Fuqing FuzhouFujian China Electronic Information and Engineering Institute Fuqing Branch of Fujian Normal University Fuqing FuzhouFujian China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China School of Software Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783319685267

In order to improve the reliability and life of components, product providers often take the form of redundant backup. The lower the failure rate of the product itself and the more the number of redundant backups, the more reliable and stable system is, but the number of redundant backups will greatly increase the cost of the product. Moreover, the product can not be detected through dismantling products to achieve, This provides the provider with the possibility of speculation, so the provider will provide a lower degree of redundancy of products or secondary products with high-level redundancy is a huge problem faced by buyers. The study will use the method of truncation estimation to make a asymptotic estimation, provide statistic reference formula and feasible calculation method for the purchaser, which can greatly reduce the cost of the demand and the reliability of the system operation. © 2018, Springer International Publishing AG.

关键词： Redundancy

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Correction to: Underwater image enhancement using an edge-preserving filtering Retinex algorithm

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Multimedia Tools and Applications 2020年第25期79卷 17279-17279页

作者： Peixian Zhuang Xinghao Ding Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Technology and Engineering Center of Meteorological Sensor Network School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing China Fujian Key Laboratory of Sensing and Computing for Smart City School of Information Science and Engineering Xiamen University Xiamen China

In the original publication, Equations were incorrectly presented. The original article has been corrected.

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Refactoring Java Code for Automatic API Generation

Refactoring Java Code for Automatic API Generation

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International Conference on Cloud computing, Big Data and Blockchain (ICCBB)

作者： Genggeng Liu Chuanshumin Hu Shihong Chen Ying Zhang Xing Chen Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou China National Engineering Research Center of Software Engineering Peking University Beijing China

ISBN: (纸本)9781728112787

With the development of the Internet, a large number of computer applications have emerged, and the quantity is still growing rapidly. These applications contain a lot of useful data and functions, however, as most of them are not available and couldn't interact with each other, so the data and functions are difficult to shared and reused, resulting in a huge waste of resources. In order to solve this problem, secondary development is needed on the basis of the source system. For example, it is necessary to collect data from client applications or integrate their functions. Therefore, a framework of automatic encapsulation API based on the client system is proposed in this paper. Firstly, using a design pattern to reconstruct the runtime software architecture. Secondly, an algorithm is proposed for parameter matching to automatically construct API template. Thirdly, a framework is implemented to support design patterns and matching algorithms. In conclusion, we experimented with a real client system, and the results show that in most cases our method can effectively encapsulate and reduce the execution time of the functions.

关键词： application program interfaces Java software architecture software maintenance Application programming interfaces Software maintenance Software architecture Java Java programming language API AXIAL POWER INDICATOR American Petroleum Institute execution time AUTOMATIC APPLIED COMPUTER SCIENCE Clients design pattern

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Identification and Prediction of key Nucleotide Sites Using Machine Learning in Bioinformatics: A Brief Overview

Identification and Prediction of Key Nucleotide Sites Using ...

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IEEE International Conference on Big Data and Cloud computing (BdCloud)

作者： Jianhua Cai Leyi Wei Kun Zeng Guobao Xiao Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou P.R. China College of Mathematics and Computer Science Fuzhou University Fuzhou P.R. China College of Intelligence and Computing Tianjin University Tianjin P.R. China

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

Nowadays, the burgeon of machine learning has promoted its wide application in various fields. In Bioinformatics, machine learning computational method has become an indispensable part. Its efficiency and simplicity break the expensive and inefficient barriers of previous experimental methods. This article briefly reviews the application and development of machine learning in identifying and predicting key nucleotide sites (such as 6mA, 5mC, 4mC, etc.) in DNA or RNA. Among them, supervised learning is one of the main methods to this work. Its wide application has provided great convenience for the development of identification and prediction of key nucleotides in Bioinformatics.

关键词： Bioinformatics Feature extraction Machine learning Predictive models Computational modeling DNA Prediction algorithms

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Video rain/snow removal by transformed online multiscale convolutional sparse coding

arXiv

引用

arXiv 2019年

作者： Li, Minghan Cao, Xiangyong Zhao, Qian Zhang, Lei Gao, Chenqiang Meng, Deyu School of Mathematics and Statistics Ministry of Education Key Lab of Intelligent Networks and Network Security Xi'an Jiaotong University Shaanxi China Department of Computing Hong Kong Polytechnic University Hung Hom Hong Kong Chongqing Key Laboratory of Signal and Information Processing Chongqing University of Posts and Telecommunications Chongqing400065 China

Video rain/snow removal from surveillance videos is an important task in the computer vision community since rain/snow existed in videos can severely degenerate the performance of many surveillance system. Various methods have been investigated extensively, but most only consider consistent rain/snow under stable background scenes. Rain/snow captured from practical surveillance camera, however, is always highly dynamic in time with the background scene transformed occasionally. To this issue, this paper proposes a novel rain/snow removal approach, which fully considers dynamic statistics of both rain/snow and background scenes taken from a video sequence. Specifically, the rain/snow is encoded as an online multi-scale convolutional sparse coding (OMS-CSC) model, which not only finely delivers the sparse scattering and multi-scale shapes of real rain/snow, but also well encodes their temporally dynamic configurations by real-time ameliorated parameters in the model. Furthermore, a transformation operator imposed on the background scenes is further embedded into the proposed model, which finely conveys the dynamic background transformations, such as rotations, scalings and distortions, inevitably existed in a real video sequence. The approach so constructed can naturally better adapt to the dynamic rain/snow as well as background changes, and also suitable to deal with the streaming video attributed its online learning mode. The proposed model is formulated in a concise maximum a posterior (MAP) framework and is readily solved by the ADMM algorithm. Compared with the state-of-the-art online and offline video rain/snow removal methods, the proposed method achieves better performance on synthetic and real videos datasets both visually and quantitatively. Specifically, our method can be implemented in relatively high efficiency, showing its potential to real-time video rain/snow removal. Copyright © 2019, The Authors. All rights reserved.

关键词： Convolution

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A visual self-positioning method for inspection robot based on symmetrical tangential artificial landmarks

A visual self-positioning method for inspection robot based ...

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2018 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2018

作者： Yang, Shu-Yu Deng, Shun-Ming Zhao, Peng-Peng Li, Jin-Ping School of Information Science and Engineering University of Jinan Jinan Shandong250022 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan Shandong250022 China Shandong College University Key Laboratory of Information Processing and Cognitive Computing in 13th Five-year Jinan Shandong250022 China Chongqing Vocational Institute of Engineering Chongqing400000 China

ISBN: (纸本)9781728105512

The artificial landmark positioning technology is one of the visual positioning methods of the inspection robot. Although this technology has simple algorithm and low maintenance cost, it is difficult to be widely used due to the limitations in some special environment. For example, people are not allowed to set a large number of landmarks on the ground in some workshops. In this paper, we propose a visual self-positioning method based on the symmetrical tangential artificial landmarks. The basic idea of this method is: firstly, a small number of tangential artificial landmarks are set on the walls or machine tools on both sides, secondly, the perspective model and triangulation method are used to realize the self-positioning of the inspection robot. The experimental results show that the method is simple to operate and has high positioning accuracy, which can meet the needs of the inspection robot. © 2018 IEEE.

关键词： Machine tools

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A multigrid-reduction-in-time solver with a new two-level convergence for unsteady fractional Laplacian problems

arXiv

引用

arXiv 2019年

作者： Yue, Xiaoqiang Pan, Kejia Zhou, Jie Weng, Zhifeng Shu, Shi Tang, Juan Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Hunan Key Laboratory for Computation and Simulation in Science and Engineering School of Mathematics and Computational Science Xiangtan University Xiangtan411105 China School of Mathematics and Statistics HNP-LAMA Central South University Changsha410083 China School of Mathematical Sciences Fujian Province University Key Laboratory of Computation Science Huaqiao University Quanzhou362021 China

The multigrid-reduction-in-time (MGRIT) technique has proven to be successful in achieving higher run-time speedup by exploiting parallelism in time. The goal of this article is to develop and analyze a MGRIT algorithm, using FCF-relaxation with time-dependent time-grid propagators, to seek the finite element approximations of unsteady fractional Laplacian problems. The multigrid with line smoother proposed in [L. Chen, R. H. Nochetto, et al., Math. Comp. 85 (2016) 2583–2607] is chosen to be the spatial solver. Motivated by [B. S. Southworth, SIAM J. Matrix Anal. Appl. 40 (2019) 564–608], we provide a new temporal eigenvalue approximation property and then deduce a generalized two-level convergence theory which removes the previous unitary diagonalization assumption on the fine and coarse time-grid propagators required in [X. Q. Yue, S. Shu, et al., Comput. Math. Appl. 78 (2019) 3471–3484]. Numerical computations are included to confirm the theoretical predictions and demonstrate the sharpness of the derived convergence upper bound. Copyright © 2019, The Authors. All rights reserved.

关键词： Finite element method

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Smoking Behavior Detection Based on Hand Trajectory Tracking and Mouth Saturation Changes

Smoking Behavior Detection Based on Hand Trajectory Tracking...

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2018 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2018

作者： Lin, Zhenkai Lv, Changfeng Dou, Yimin Li, Jinping School of Information Science and Engineering University of Jinan Jinan Shandong250022 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan Shandong250022 China Shandong College University Key Laboratory of Information Processing and Cognitive Computing in 13th Five-year Jinan Shandong250022 China Shandong Senter Electronic Co. Ltd Zibo Shandong255088 China

ISBN: (纸本)9781728105512

Smoking seriously endanger people's physical and mental health. In some special places, e.g., gas stations and forest areas, smoking may cause serious accidents. In order to detect smoking behavior timely and accurately, we propose an effective and practical detection method by means of video analysis. Two basic approaches are involved in the proposed method: one is smoke detection;the other is smoking action detection. In the first approach, we detect human face by using a special open source of face detection system called SeetaFace, then segment the mouth area and calculate the corresponding grayscale and saturation, finally we can determine if sudden a change occurs around the mouth. In the second approach, there are two basic steps: firstly, we detect the skin color area based on the skin color ellipse model in YCrCb color space, then determine the initial position of the hand by using the location of the skin color area that relative to the face;secondly, track the trajectory of hand movement by using optical flow and then detect whether the hand overlap the mouth in real time. Finally, we combine the results of the preceding two steps in the second approach with the result in the first approach together and then we can determine smoking or non-smoking person. The experimental results show that the proposed method can effectively detect smoking behavior with a small training sample in real time and achieve the detection rate of 95%. © 2018 IEEE.

关键词： Smoke

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