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25th International Conference on Neural information processing, ICONIP 2018

作者： Luo, Xiaohui Zhang, Li Li, Fanzhang Hu, Chengxiang School of Computer Science and Technology and Joint International Research Laboratory of Machine Learning and Neuromorphic Computing Provincial Key Laboratory for Computer Information Processing Technology Soochow University SuzhouJiangsu215006 China

ISBN: (纸本)9783030041816

Manifold learning has attracted more and more attention in machine learning for past decades. Unsupervised Large Graph Embedding (ULGE), which performs well on the large-scale data, has been proposed for manifold learning. To improve the clustering performance, a novel Unsupervised Ensemble Learning based on Graph Embedding (UEL-GE) is explored, which takes ULGE to get low-dimensional embeddings of the given data and uses the K-means method to obtain the clustering results. Furthermore, the multiple clusterings are corrected by using the bestMap method. Finally, the corrected clusterings are combined to generate the final clustering. Extensive experiments on several data sets are conducted to show the efficiency and effectiveness of the proposed ensemble learning method. © Springer Nature Switzerland AG 2018.

关键词： K-means clustering

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Towards the scheduling of access requests in cloud storage

Towards the scheduling of access requests in cloud storage

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8th International Conference on computer Science and Education, ICCSE 2013

作者： Wu, Xian Qian, Peide School of Computer Science and Technology Computer Information Processing Technology Suzhou University Suzhou 215006 China Jiangsu Provincial Key Laboratory Computer Information Processing Technology Suzhou University Suzhou 215006 China School of Computer Science and Technology Suzhou University Suzhou 215006 China

ISBN: (纸本)9781467344623

In recent years, cloud computing has emerged as an enabling technology, in which virtual machine migration and dynamic resource allocation is one of the hot issues. During the migration of virtual machine, access requests from end users coming constantly. So how to schedule these requests to ensure the performance of cloud storage system is the key issue. In this paper, we focus on scheduling access requests to provide end users desirable data when virtual data nodes are migrating. In this process, we interested in the following performance in the system: the availability of data, energy consumption and cost. The contributions of this paper are: 1) analyze the open issues of scheduling in cloud storage;2) present the environment of scheduling access requests in cloud storage and discuss metrics which affect the scheduler;3) define the formal concepts about this problem and give the main steps of scheduling algorithm. The main innovation of this paper is fully taken into account data node's mobility in cloud storage. So we could establish the connection between resource availability and system availability. The results of this paper can be used in scheduling and resource management in cloud storage system to provide the mass storage of streaming media in cloud and its continuous access. © 2013 IEEE.

关键词： Scheduling

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Target vehicle detection and tracking in surveillance videos based on exponential forgetting and perceptual hash algorithm

Advances in Transportation Studies

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Advances in Transportation Studies 2018年第Special issue期2卷 97-106页

作者： Fan, H.H. Zhu, H.J. School of Computer Engineering Jiangsu University of Technology Changzhou213001 China Key Laboratory of Cloud Computing and Intelligent Information Processing of Changzhou City Changzhou213001 China

In order to obtain the stable background of a traffic surveillance video, the application scenarios, computational complexity, and results of the Gaussian background model were analyzed. In the background modeling process, many artifacts were generated, making it difficult to reconstruct a highly stable background image. In order to solve this problem, we proposed a background model based on exponential forgetting algorithm. This method satisfies the background reconstruction of complex environment, the computation is small and the background result is pure. To further improve the accuracy of the test, shadows of the vehicle were detected to reduce the error caused on vehicle detection. The perceptual hash algorithm was used to track the target vehicle. The proposed algorithm is verified by different video data. The experimental results show that a good vehicle tracking effect is achieved in a variety of weather conditions. © 2018, Gioacchino Onorati Editore. All rights reserved.

关键词： Vehicles

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Towards termination criteria of ant colony optimization

Towards termination criteria of ant colony optimization

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3rd International Conference on Natural Computation, ICNC 2007

作者： Lv, Qiang Xia, Oyan School of Computer Science and Technology Suzhou University Suzhou Jiangsu 215006 China Provincial Key Lab. for Computer Information Processing Technology Suzhou Jiangsu 215006 China

ISBN: (纸本)0769528759

Ant colony optimization (ACO for short) has been proved a successful meta-heuristic by a huge of empirical studies. This paper discusses the termination criteria of ACO and therefore provides research ideas to other meta-heuristics. A general discussion about four types of termination criteria has been firstly discussed in this article. Then some measures of convergence based on pheromone have been introduced. And a new termination criterion based on Bayesian approach is presented. Finally a new convergence proof for a class of ACO algorithms is presented. © 2007 IEEE.

关键词： Heuristic methods

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Enhanced Geometric Map:a 2D&3D Hybrid City Model of Large Scale Urban Environment for Robot Navigation

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机器人 2016年第3期38卷 311-321页

作者： LI Haifeng HU Zunhe LIU Jingtai College of Computer Science and Technology Civil Aviation University of China Tianjin 300300 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou 350121 China Institute of Robotics and Information Automatic System Nankai University Tianjin 300071 China Tianjin Key Laboratory of Intelligent Robotics Tianjin 300071 China

To facilitate scene understanding and robot navigation in large scale urban environment, a two-layer enhanced geometric map(EGMap) is designed using videos from a monocular onboard camera. The 2D layer of EGMap consists of a 2D building boundary map from top-down view and a 2D road map, which can support localization and advanced map-matching when compared with standard polyline-based maps. The 3D layer includes features such as 3D road model,and building facades with coplanar 3D vertical and horizontal line segments, which can provide the 3D metric features to localize the vehicles and flying-robots in 3D space. Starting from the 2D building boundary and road map, EGMap is initially constructed using feature fusion with geometric constraints under a line feature-based simultaneous localization and mapping(SLAM) framework iteratively and progressively. Then, a local bundle adjustment algorithm is proposed to jointly refine the camera localizations and EGMap features. Furthermore, the issues of uncertainty, memory use, time efficiency and obstacle effect in EGMap construction are discussed and analyzed. Physical experiments show that EGMap can be successfully constructed in large scale urban environment and the construction method is demonstrated to be very accurate and robust.

关键词：被提高的几何学的地图都市模型机械手航运同时发生的定位而且映射局部的包裹调整

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BEVGGC:Biogeography-Based Optimization Expert-VGG for Diagnosis COVID-19 via Chest X-ray Images

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computer Modeling in Engineering & Sciences 2021年第11期129卷 729-753页

作者： Junding Sun Xiang Li Chaosheng Tang Shixin Chen College of Computer Science and Technology Henan Polytechnic UniversityJiaozuo454000China Nursing Department The Fourth People’s Hospital of Huai’anHuai’an223001China Provincial Key Laboratory for Computer Information Processing Technology Soochow UniversitySuzhou215000China

Purpose:As to January 11,2021,coronavirus disease(COVID-19)has caused more than 2 million deaths *** diagnostic methods of COVID-19 are:(i)nucleic acid *** method requires high requirements on the sample testing *** collecting samples,staff are in a susceptible environment,which increases the risk of infection.(ii)chest computed *** cost of it is high and some radiation in the scan process.(iii)chest X-ray *** has the advantages of fast imaging,higher spatial recognition than chest computed ***,our team chose the chest X-ray images as the experimental dataset in this ***:We proposed a novel framework—BEVGG and three methods(BEVGGC-I,BEVGGC-II,and BEVGGC-III)to diagnose COVID-19 via chest X-ray ***,we used biogeography-based optimization to optimize the values of hyperparameters of the convolutional neural ***:The experimental results show that the OA of our proposed three methods are 97.65%±0.65%,94.49%±0.22%and 94.81%±0.52%.BEVGGC-I has the best performance of all ***:The OA of BEVGGC-I is 9.59%±1.04%higher than that of state-of-the-art methods.

关键词： Biogeography-based optimization convolutional neural networks depthwise separable convolution dilated

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An mobility-aware zone-based routing protocol for mobile grid computing

An mobility-aware zone-based routing protocol for mobile gri...

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2006 2nd International Conference on Semantics Knowledge and Grid, SKG

作者： Rui, Li Renfa, Li Fei, Yu Jigang, Wen School of Computer and Communication Hunan University Changsha 410082 China Provincial Key Laboratory of Computer Information Processing Technology Jiangsu Province Suzhou University Suzhou 150063 China

ISBN: (纸本)0769532055

Mobile grid computing is a new computing paradigm which joins classic grid computing and mobile computing paradigm to provide dependable, seamless, pervasive access to mobile resources and services. It can use the underlying connectivity and routing protocols defined by MANET in order to perform resource discovery and access. This paper proposes a mobility-aware zoned routing protocol for MANET-MAFZP, which create zones in terms of the distance between each node to the Minimum ID node. Resort to the information provided by neighborhood nodes, our proposed protocol's request delay and control overhead is descend to O(2R). In addition, this protocol classifies the mobility pattern with neighbor node and reduces routing control overhead. Simulation results show that the protocol greatly decreased routing time and control overhead. © 2006 IEEE.

关键词： Routing protocols

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A mobility-aware zone-based routing protocol for mobile grid computing

A mobility-aware zone-based routing protocol for mobile grid...

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2nd International Conference on Semantics, Knowledge, and Grid, SKG 2006

作者： Li, Rui Li, Renfa Yu, Fei Wen, Jigang School of Computer and Communication Hunan University Changsha 410082 China Provincial Key Laboratory of Computer Information Processing Technology Jiangsu Province Suzhou University Suzhou 150063 China

ISBN: (纸本)076952673X

关键词： Routing protocols

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A New Method of Image Restoration technology Based on WGAN

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computer Systems Science & Engineering 2022年第5期41卷 689-698页

作者： Wei Fang Enming Gu Weinan Yi Weiqing Wang Victor S.Sheng School of Computer&Software Engineering Research Center of Digital ForensicsMininstry of EducationNanjing University of Information Science&TechnologyNanjing210044China Provincial Key Laboratory for Computer Information Processing Technology Soochow UniversitySuzhou215325China Texas Tech University USA

With the development of image restoration technology based on deep learning,more complex problems are being solved,especially in image semantic inpainting based on ***,image semantic inpainting techniques are becoming more ***,due to the limitations of memory,the instability of training,and the lack of sample diversity,the results of image restoration are still encountering difficult problems,such as repairing the content of glitches which cannot be well integrated with the original ***,we propose an image inpainting network based on Wasserstein generative adversarial network(WGAN)*** the corresponding technology having been adjusted and improved,we attempted to use the Adam algorithm to replace the traditional stochastic gradient descent,and another algorithm to optimize the training used in recent *** evaluated our algorithm on the ImageNet *** obtained high-quality restoration results,indicating that our algorithm improves the clarity and consistency of the image.

关键词： Image restoration WGAN DCGAN context semantic

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Ranking based activity trajectory search

Ranking based activity trajectory search

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15th International Conference on Web information Systems Engineering, WISE 2014

作者： Chen, Wei Zhao, Lei Jiajie, Xu Zheng, Kai Zhou, Xiaofang School of Computer Science and Technology Soochow University China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University China School of ITEE The University of Queensland Brisbane Australia

ISBN: (纸本)9783319117485

With the proliferation of the GPS-enabled devices and mobile techniques, there has been a lot of work on trajectory search in the last decade. Previous trajectory search has focused on spatio-temporal features and text descriptions. Different from them, we study a novel problem of searching trajectories with activities and corresponding ranking information. Given a query q, which is attached with a set of activities and a threshold of distance, the results of ranking based activity trajectory search (RTS) are k trajectories such that the given activities are performed with the highest ranking within the threshold of distance. In addition, we also extend the query with an order, i.e., order-sensitive ranking based activity trajectory search (ORTS), which takes both the order of activities in a query q and the order of trajectories into account. It is challenging to answer RTS and ORTS efficiently due to the structural complexity of trajectory data with ranking information. In this paper, a hybrid index AC-tree and its optimized variant RAC-tree are proposed to achieve higher efficiency. Extensive experiments verify the high efficiency and scalability of the proposed algorithms. © Springer International Publishing Switzerland 2014.

关键词： Trajectories

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