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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8786卷 170-185页

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

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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Pick-up tree based route recommendation from taxi trajectories

Pick-up tree based route recommendation from taxi trajectori...

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13th International Conference on Web-Age information Management, WAIM 2012

作者： Hu, Haoran Wu, Zhiang Mao, Bo Zhuang, Yi Cao, Jie Pan, Jingui State Key Lab. for Novel Software Technology Nanjing University Nanjing China Jiangsu Provincial Key Laboratory of E-Business Nanjing University of Finance and Economics Nanjing China College of Computer and Information Engineering Zhejiang Gongshang University Hangzhou China

ISBN: (纸本)9783642322808

Recommending suitable routes to taxi drivers for picking up passengers is helpful to raise their incomes and reduce the gasoline consumption. In this paper, a pick-up tree based route recommender system is proposed to minimize the traveling distance without carrying passengers for a given taxis set. Firstly, we apply clustering approach to the GPS trajectory data of a large number of taxis that indicates state variance from "free" to "occupied", and take the centroids as potential pick-up points. Secondly, we propose a heuristic based on skyline computation to construct a pick-up tree in which current position is its root node that connects all centroids. Then, we present a probability model to estimate gasoline consumption of every route. By adopting the estimated gasoline consumption as the weight of every route, the weighted Round-Robin recommendation method for the set of taxis is proposed. Our experimental results on real-world taxi trajectories data set have shown that the proposed recommendation method effectively reduce the driving distance before carrying passengers, especially when the number of cabs becomes large. Meanwhile, the time-cost of our method is also lower than the existing methods. © 2012 Springer-Verlag.

关键词： Taxicabs

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Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2022年第2期3卷 297-308页

作者： Zhang, Chongsheng Tao, Yuefeng Du, Kai Ding, Weiping Wang, Bin Liu, Ji Wang, Wei Henan Provincial Key Laboratory of Big Data Analysis and Processing Laboratory of the Yellow River Cultural Heritage Henan University Kaifeng475001 China School of Information Science and Technology Nantong University Nantong226019 China School of Electrical Engineering Zhejiang University Hangzhou310058 China Big Data Lab Baidu Inc. Beijing100044 China School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China

Urban scenes are full of street entities with sign boards. Therefore, in autonomous driving, street view text spotting techniques will play a significant role in the precise understanding of surrounding scenes during driving, because texts contained in the images usually provide important clues for accurate image understanding, while it is often ambiguous for existing computer vision algorithms to understand scene images without texts. In this work, we propose a Multi-Segmentation network for character-level scene Text Detection (MSTD). The MSTD introduces a densely connected atrous spatial pyramid pooling module to enlarge the receptive field of the feature extraction layer, so as to localize long as well as large-sized text instances. Moreover, it devises a double segmentation subnetwork to utilize two independent but inherently complementary losses to co-optimize the network and increase the reliability of the confidence scores in predicting the text/nontext areas. With the character instances detected by the MSTD, one can easily perform scene text spotting with classic object recognition networks such as ResNet and DenseNet. We carried out extensive experiments on nine scene text datasets to demonstrate the outstanding performance of the MSTD on character-level and line-level text instance localization and scene text recognition, where the MSTD significantly outperforms the state-of-the-art scene text detection methods and the sequence-to-sequence-learning-based scene text recognizers. © 2020 IEEE.

关键词： Character recognition

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A Policy-Controlled Signature Scheme for end-to-end Secure Communication 12

A Policy-Controlled Signature Scheme for end-to-end Secure C...

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12th International Conference on Advanced Cloud and Big Data, CBD 2024

作者： Yu, Feng Meng, Linghui Xi, Jing Li, Xianxian Lu, Qianhui Zhu, Weidong Guangxi Normal University Key Lab of Education Blockchain and Intelligent Technology GuiLin China University of SouthEast Jiangsu Provincial Key Laboratory of Netwrok and Information Security Nanjing China Guangxi Normal University Guangxi Key Lab of Multi-Source Information Mining and Security GuiLin China Guangxi Collaborative Innovation Center of Multi-source Information Integration and Intelligent Processing Guangxi Normal University GuiLin China

ISBN: (纸本)9798331511074

In the digitalized society, end-to-end security communication is receiving increasing attention. Issues such as ma-licious sender impersonation and over-privilege communication continue to prevail in end-to-end communication. This paper pro-poses a policy-controlled signature scheme aimed at addressing these concerns through identity verification and permission man-agement, thus establishing a secure mode of communication. The scheme designs policy-controlled signatures with partial policy hiding functionality, employing expressive access structures and garbled Bloom Filter (GBF) to protect the sender's attributes. In comparison to related approaches, this scheme provides benefits in terms of signature computation cost, thereby enhancing the resilience and efficiency of the communication system against attacks. © 2024 IEEE.

关键词： Authentication Protocol

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Robust restoration of low-dose cerebral perfusion CT images using NCS-Unet

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Nuclear Science and Techniques 2022年第3期33卷 62-76页

作者： Kai Chen Li-Bo Zhang Jia-Shun Liu Yuan Gao Zhan Wu Hai-Chen Zhu Chang-Ping Du Xiao-Li Mai Chun-Feng Yang Yang Chen Southeast University Nanjing 210096China School of Cyber Science and Engineering Southeast UniversityNanjing 210096China Key Laboratory of Computer Network and Information Integration(Southeast University) Ministry of EducationNanjing 210096China Department of Radiology General Hospital of the Northern Theater of the Chinese People’s Liberation ArmyShenyang 110016China Laboratory of Image Science and Technology The School of Computer Science and EngineeringSoutheast UniversityNanjing 210096China Department of Radiology Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjing 210008China Jiangsu Key Laboratory of Molecular and Functional Imaging Department of RadiologyZhongda HospitalSoutheast UniversityNanjing 210009China Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing School of Computer Science and EngineeringSoutheast UniversityNanjing 210096China

Cerebral perfusion computed tomography(PCT)is an important imaging modality for evaluating cerebrovascular diseases and stroke *** widespread public concern about the potential cancer risks and health hazards associated with cumulative radiation exposure in PCT imaging,considerable research has been conducted to reduce the radiation dose in X-ray-based brain perfusion *** the dose of X-rays causes severe noise and artifacts in PCT *** solve this problem,we propose a deep learning method called *** exceptional characteristics of non-subsampled contourlet transform(NSCT)and the Sobel filter are introduced into *** decomposes the convolved features into high-and low-frequency *** decomposed high-frequency component retains image edges,contrast imaging traces,and noise,whereas the low-frequency component retains the main image *** Sobel filter extracts the contours of the original image and the imaging traces caused by the contrast agent *** extracted information is added to NCS-Unet to improve its performance in noise reduction and artifact *** and quantitative analyses demonstrated that the proposed NCS-Unet can improve the quality of low-dose cone-beam CT perfusion reconstruction images and the accuracy of perfusion parameter calculations.

关键词： Cerebral perfusion CT Low-dose Image denoising Perfusion parameters

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A Novel User Behavior Prediction and Optimization Algorithm for Single-User Multi-terminal Scenario

A Novel User Behavior Prediction and Optimization Algorithm ...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Hui Zhang Juan Chen Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China Jiangsu Key Lab of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781509035595

For the single-user multi-terminal scenario, a novel user service behavior prediction and optimization algorithm is proposed in this paper, which can realize the accurate prediction of service requirements and optimal selection of service terminals, so as to improve user QoE effectively. Firstly, by using an adaptive feedback based weight correction method, a modified entropy weighted Markov model is formulated to accurately predict user future service states. Secondly, according to the above prediction results, the corresponding heavy-tailed model is used to estimate the service duration. Moreover, by integrating service preferences and terminal attributes, a matching metric of services and terminals is established, and then a terminal selection model is proposed for recommending the optimal service terminal to each user. Simulation results show the effectiveness of proposed algorithm.

关键词： Predictive models Markov processes Optimization Entropy Adaptation models Prediction algorithms Measurement

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Parallel answer set solving algorithm based on multi-core processor technology

Parallel answer set solving algorithm based on multi-core pr...

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International Conference on Automatic Control and Artificial Intelligence, ACAI 2012

作者： Zhang, Xing Zhang, Zhizheng Zhai, Yuqing Gao, Zhiqiang School of Computer Science and Engineering Southeast University Nanjing China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University China

ISBN: (纸本)9781849195379

Answer Set Programming (ASP) is widely used in many areas of Artificial Intelligence. A parallel answer set solving algorithm based on multi-core processor technology is proposed in this paper. The parallel algorithm is designed on the shared-memory parallel computing model which is the -abs model of multi-core processor. The algorithm can distribute the whole solving task to several threads separately run on different cores of the multi-core processor. To make this parallel algorithm more efficient, we implement load balancing among different threads by the technique of shared global queue. The experimental results show that the parallel algorithm can improve the solving efficiency by times with the growth of processor cores.

关键词： Parallel algorithms

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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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International Conference on Semantics, Knowledge and Grid (SKG)

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

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.

关键词：

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Kinetics and Modeling of Chemical Leaching of Sphalerite Concentrate Using Ferric Iron in a Redox-controlled Reactor

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Chinese Journal of Chemical Engineering 2013年第8期21卷 933-936页

作者：宋健高玲林建群吴洪斌林建强 State Key Lab of Microbial Technology Shandong University Department of Pharmacy and Biotechnology Zibo Vocational Institute Shandong Provincial Key Lab for Distributed Computer Software Novel Technology School of Information Science and EngineeringShandong Normal University Institute of Agro-products Processing Science and Technology Xinjiang Academy of Agricultural and Reclamation Science

This work presents a study for chemical leaching of sphalerite concentrate under various constant Fe3+ concentrations and redox potential conditions. The effects of Fe3+ concentration and redox potential on chemical leaching of sphalerite were investigated. The shrinking core model was applied to analyze the experimental results. It was found that both the Fe3+ concentration and the redox potential controlled the chemical leaching rate of sphalerite. A new kinetic model was developed, in which the chemical leaching rate of sphalerite was proportional to Fe3+ concentration and Fe3+ /Fe2+ ratio. All the model parameters were evaluated from the experimental data. The model predictions fit well with the experimental observed values.

关键词： sphalerite leaching kinetic model Fe3+ concentration redox potential labVIEW

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A policy language for expressing access control properties in PDAC model

A policy language for expressing access control properties i...

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International Conference on computer Science & Education (ICCSE)

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

An access control policy defines what is authorized, and an access control mechanism implements the policy to ensure that all accesses are in accordance with the underlying policy. Nowadays, many researcher are working for expressing access policies in a formal way. But it is still an open problem. This paper defines a policy language, which is named as PDPL to express access policies and access control properties in PDAC model [1]. This language unifies ldquoBANrdquo logic with past- and future- time temporal logic. We give the syntax and semantics of PDPL, and provided some examples with their English equivalents. This logic language can express belief and authorization in access control model. And it can deal with delegations of decision-making directly. It is easy for us to formulate the properties of interest in distributed systems of PDAC model through PDPL. This logical language is part of a formal system, and it will be used in an automatic model checker in the future.

关键词： Access control Logic Natural languages computer science Educational technology Engines Contracts Body sensor networks Authorization computer science education

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