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4th Euro-China Conference on Intelligent data Analysis and Applications, ECC 2017

作者： Tang, Zheng-Yi Wang, Jin-Shui Chen, Yi Xue, Xing-Si School of Information Science and Engineering Fujian University of Technology FuzhouFujian350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications FuzhouFujian350118 China

ISBN: (纸本)9783319685267

Parallel finite automata is a formal model which can describe the complex control structure, but its composition model may exist redundant elements. This problem will increase the complexity of model. This paper researched the redundancy problem in the Split-Join composition of parallel finite automata and gave the condition which lead to produce redundant location and transfer. Furthermore, the algorithms which are used to eliminate the redundant location and transfer also was given. Finally, it proved the equivalence of parallel finite automata and finite automata. This conclusion ensures that he verification technology of system which base on the finite automata can be used to parallel finite automata by extension. © 2018, Springer International Publishing AG.

关键词： Finite automata

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Simplification of 3D City Model with CityGML 22

Simplification of 3D City Model with CityGML

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22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018

作者： Huang, Baoyu Mao, Bo College of Information Engineering Collaborative Innovation Center for Modern Grain Circulation and Safety Jiangsu Key Laboratory of Grain Big-data Mining Nanjing University of Finance Economics Nanjing China

ISBN: (纸本)9781538614822

Many applications demand simplified 3D building models for fast visualization and analysis purposes. However, due to the huge spatial data, it intensifies the load of the computer in the visualization process, and the redundancy of the data also affects the user experience. So in order to solve the above problems, this paper presents a method of 3D city model simplification, it can preserve the location and the overall model shape using the semantic filtering and edge search combining to simplify the model, reduce data redundancy, extracting model of shell. The proposed method mainly uses the semantic filtering to extract the wall and roof structure, and remove the doors and windows, then through the proposed adjacent search algorithm to extract the model to simplify the removal of the thickness of the wall and roof, leaving only the outermost model. The approach has been implemented and tested on a number of 3D buildings. Experiments show that the simplified model, when there is no significant difference in the visualization of the case, by calculating, the simplified model is compared with the original model, reducing the number of about ninety-seven percent, the size of the model is reduced to about two percent of the original. © 2018 IEEE.

关键词： Redundancy

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Underwater Mixed Spatial Attention Network

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Journal of Physics: Conference Series 2021年第1期2035卷

作者： Qiang Pan Yueting Yang Chuansheng Yang Chao Wang Anhui Tan School of Information Engineering Zhejiang Ocean University Zhoushan Zhejiang 316022 China School of Mathematics and Statistics Beihua University Jilin Jilin 132013 P.R. China Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province Zhoushan Zhejiang 316022 China

High-quality underwater images play an important role in obtaining and understanding underwater information. However, raw underwater images have many problems, such as low contrast, chromatic aberration, blur and low light, which seriously restrict the progress of other underwater tasks. In this paper, we propose an Underwater Mixed Spatial Attention Network (UMSAN) for underwater image enhancement. The evaluation on the EUVP dataset and some other real underwater images demonstrates that our network is sufficient against several of the advanced models.

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Two-Stage Fusion Model for Heavy Rain Removal on Single Image

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Journal of Physics: Conference Series 2021年第1期2035卷

作者： Xiaomiao Pan Yueting Yang Chuansheng Yang Chao Wang Anhui Tan School of Information Engineering Zhejiang Ocean University Zhoushan Zhejiang 316022 China School of Mathematics and Statistics Beihua University Jilin Jilin 132013 P.R. China Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province Zhoushan Zhejiang 316022 China

Current single image derain methods cannot solve the heavy rain situation well. In this paper, based on the physical model of a rainy image, we build a two-stage network, TSF-Net, which combines model-driven and data-driven methods. The first stage gets the rain streaks, atmospheric light, and transmission map to obtain the coarse rain-free image by the physical model. The second stage is a fully convolutional neural network with the structure of U-Net. The proposed Multi-Scale Projection Fusion Block (MSPFB) module, which can perceive the spatial information across the scale of images, is employed to remove the residual rain and fuzzy parts in the first stage and obtain a refined clean image. Extensive experiments show that our TSF-Net achieves better accuracy and visual improvements against state-of-the-art methods.

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Digital personal health libraries: A systematic literature review

arXiv

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arXiv 2020年

作者： Ding, Huitong Zhang, Chi An, Ning Zhang, Lingling Xie, Ning Alterovitz, Gil School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education Hefei University of Technology Hefei China Department of Computer Science University of California Davis CA United States College of Nursing and Health Sciences University of Massachusetts Boston BostonMA United States Biomedical Cybernetics Laboratory Division of General Internal Medicine and Primary Care Department of Medicine Brigham and Women's Hospital BostonMA United States Department of Medicine Harvard Medical School BostonMA United States

Objective: This paper gives context on recent literature regarding the development of digital personal health libraries (PHL) and provides insights into the potential application of consumer health informatics in diverse clinical specialties. Materials and Methods: A systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Here, 2,850 records were retrieved from PubMed and EMBASE in March 2020 using search terms: personal, health, and library. Information related to the health topic, target population, study purpose, library function, data source, data science method, evaluation measure, and status were extracted from each eligible study. In addition, knowledge discovery methods, including co-occurrence analysis and multiple correspondence analysis, were used to explore research trends of PHL. Results: After screening, this systematic review focused on a dozen articles related to PHL. These encompassed health topics such as infectious diseases, congestive heart failure, electronic prescribing. data science methods included relational database, information retrieval technology, ontology construction technology. Evaluation measures were heterogeneous regarding PHL functions and settings. At the time of writing, only one of the PHLs described in these articles is available for the public while the others are either prototypes or in the pilot stage. Discussion: Although PHL researches have used different methods to address problems in diverse health domains, there is a lack of an effective PHL to meet the needs of older adults. Conclusion: The development of PHLs may create an unprecedented opportunity for promoting the health of older consumers by providing diverse health information. Copyright © 2020, The Authors. All rights reserved.

关键词： Population statistics

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An interactive logistics centre information integration system using virtual reality

An interactive logistics centre information integration syst...

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2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing

作者： Hong, S. Mao, B. College of Information Engineering Collaborative Innovation Centre for Modern Grain Circulation and Safety Jiangsu Key Laboratory of Grain Big-data Mining Nanjing University of Finance and Economics Nanjing210023 China

The logistics industry plays a very important role in the operation of modern cities. Meanwhile, the development of logistics industry has derived various problems that are urgent to be solved, such as the safety of logistics products. This paper combines the study of logistics industry traceability and logistics centre environment safety supervision with virtual reality technology, creates an interactive logistics centre information integration system. The proposed system utilizes the immerse characteristic of virtual reality, to simulate the real logistics centre scene distinctly, which can make operation staff conduct safety supervision training at any time without regional restrictions. On the one hand, a large number of sensor data can be used to simulate a variety of disaster emergency situations. On the other hand, collecting personnel operation data, to analyse the improper operation, which can improve the training efficiency greatly. © Authors 2018.

关键词： Virtual reality

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Adversarial multiarmed bandit problems in gradually evolving worlds 1st

Adversarial multiarmed bandit problems in gradually evolving...

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1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2017

作者： Lee, Chia-Jung Yang, Yalei Meng, Sheng-Hui Sung, Tien-Wen College of Information Science and Engineering Fujian University of Technology FuzhouFujian China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology FuzhouFujian China

ISBN: (纸本)9783319707297

We study the adversarial multi-armed bandit problem, in which a player must iteratively make online decisions with linear loss vectors and hopes to achieve a small total loss. We consider a natural measure on the loss vectors, called deviation, which is the sum of the distances between every two consecutive loss functions. We propose an online algorithm and the experimental results show that the proposed algorithm can achieve a small total loss when the loss functions have a small deviation. © Springer International Publishing AG 2018.

关键词： Iterative methods

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A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining

A Coarse-to-Fine Multi-stream Hybrid Deraining Network for S...

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IEEE International Conference on data mining (ICDM)

作者： Yanyan Wei Zhao Zhang Haijun Zhang Richang Hong Meng Wang Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education) Hefei University of Technology School of Computer Science and Information Engineering Hefei University of Technology Hefei China Department of Computer Science Harbin Institute of Technology (Shenzhen) Xili University Town Shenzhen China

Single image deraining task is still a very challenging task due to its ill-posed nature in reality. Recently, researchers have tried to fix this issue by training the CNN-based end-to-end models, but they still cannot extract the negative rain streaks from rainy images precisely, which usually leads to an over de-rained or under de-rained result. To handle this issue, this paper proposes a new coarse-to-fine single image deraining framework termed Multi-stream Hybrid Deraining Network (shortly, MH-DerainNet). To obtain the negative rain streaks during training process more accurately, we present a new module named dual path residual dense block, i.e., Residual path and Dense path. The Residual path is used to reuse com-mon features from the previous layers while the Dense path can explore new features. In addition, to concatenate different scaled features, we also apply the idea of multi-stream with shortcuts between cascaded dual path residual dense block based streams. To obtain more distinct derained images, we combine the SSIM loss and perceptual loss to preserve the per-pixel similarity as well as preserving the global structures so that the deraining result is more accurate. Extensive experi-ments on both synthetic and real rainy images demonstrate that our MH-DerainNet can deliver significant improvements over several recent state-of-the-art methods.

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Artificial intelligence in pediatrics

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Chinese Medical Journal 2020年第3期133卷 358-360页

作者： Ya-Wen Li Fang Liu Tian-Nan Zhang Fang Xu Yu-Chen Gao Tian Wu School of Economics and Management Beijing University of Posts and TelecommunicationsBeijing 100876China Department of Stomatology Beijing Children's HospitalCapital Medical UniversityNational Center for Children's HealthBeijing 100045China Department of Pediatrics Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijing 100730China School of Banking Finance University of International Business and EconomicsBeijing 100029China School of Economics and Management Tsinghua UniversityBeijing 100084China NCMIS Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of SciencesBeijing 100190China.

The rapid development of information technology has involved advances in artificial intelligence(AI),big data processing,and cloud computing,with significant and farreaching effects on the structure and efficiency of the traditional healthcare industry,as well as the establishment and maintenance of modern medical management information *** solutions for handling data in the medical field,such as electronic medical records,medical imaging technology,medical big data,intelligent drug design,and smart health management systems have emerged,which improve the standardization and accuracy of clinical decision making,while providing more dimensions of data accumulation for medical knowledge-based *** developments can also support physicians and researchers in the optimization of treatment plans,and decision making about optimal treatment *** review aims to summarize recent advances in the research and clinical use of AI in pediatrics.

关键词： dimensions intelligence advances

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Matching Biomedical Ontologies Through Compact Evolutionary Simulated Annealing Algorithm 12th

Matching Biomedical Ontologies Through Compact Evolutionary ...

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12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018

作者： Xue, Xingsi Chen, Jie Liu, Jianhua Chen, Dongxu College of Information Science and Engineering Fujian University of Technology Fuzhou Fujian350118 China Intelligent Information Processing Research Center Fujian University of Technology Fuzhou Fujian350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou Fujian350118 China Fujian Key Lab for Automotive Electronics and Electric Drive Fujian University of Technology Fujian350118 China Fujian Medical University Union Hospital Fuzhou Fujian350001 China

ISBN: (纸本)9789811358401

To overcome biomedical ontology’s heterogeneous problem, biomedical ontology matchers are developed to search for bridges of knowledge (or alignment) between heterogeneous biomedical ontologies. Since it is a complex problem, Evolutionary Algorithm (EA) can present a good methodology for matching biomedical ontologies. To improve the efficiency, in this paper, a Compact Evolutionary Simulated Annealing algorithm (CESA) is proposed to match the biomedical ontologies. In particular, CESA utilizes a Probability Vector (PV) to simulate the behavior of population-based EA, and introduces the Simulated Annealing algorithm (SA) as a local search in each generation. The experiment is conducted on the Large Biomed track provided by the Ontology Alignment Evaluation Initiative (OAEI), and the experimental results show the effectiveness of our proposal. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Simulated annealing

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