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2016 IEEE International Conference on Automation science and engineering, CASE 2016

作者： Meng, Leilei Zhou, Mengchu Zhang, Chaoyong Tian, Guangdong School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102 United States Renewable Energy Research Group King Abdulaziz University Jeddah Saudi Arabia Transportation College Jilin University Changchun China

ISBN: (纸本)9781509024094

Nowadays, discrete manufacturing enterprises are forced to reduce energy consumption owing to high energy cost, growing production demands, and environmental problems. An accurate energy consumption model is needed urgently to achieve this goal. In this paper, a new model based on empirical modeling and experiments is proposed to estimate energy consumption for machining processes. Experimental results show that the new model can make more accurate prediction of energy consumption in comparison with existing models. The new model is of great value to enterprises to develop energy-efficient optimization strategies. © 2016 IEEE.

关键词： Electric power utilization

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Research on Trust Prediction from a Sociological Perspective

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Journal of computer science & Technology 2015年第4期30卷 843-858页

作者：王英王鑫左万利 College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun 130012 China School of Computer Technology and Engineering Changehun Institute of Technology Changchun 130012 China

Trust, as a major part of human interactions, plays an important role in helping users collect reliable infor-mation and make decisions. However, in reality, user-specified trust relations are often very sparse and follow a power law distribution; hence inferring unknown trust relations attracts increasing attention in recent years. Social theories are frameworks of empirical evidence used to study and interpret social phenomena from a sociological perspective, while social networks reflect the correlations of users in real world; hence, making the principle, rules, ideas and methods of social theories into the analysis of social networks brings new opportunities for trust prediction. In this paper, we investigate how to exploit homophily and social status in trust prediction by modeling social theories. We first give several methods to compute homophily coe？cient and status coe？cient, then provide a principled way to model trust prediction mathe-matically, and propose a novel framework, hsTrust, which incorporates homophily theory and status theory. Experimental results on real-world datasets demonstrate the effectiveness of the proposed framework. Further experiments are conducted to understand the importance of homophily theory and status theory in trust prediction.

关键词： trust prediction homophily coefficient status coefficient social theory matrix factorization

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Towards multi-functional light-weight long-term real-time coastal ocean observation system 11

Towards multi-functional light-weight long-term real-time co...

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11th ACM International Conference on Underwater Networks and Systems, WUWNet 2016

作者： Jiang, Zhenfeng Ma, Yanming Chen, Jiali Wang, Zigeng Peng, Zheng Liu, Jun Han, Guitao Smart Ocean Industry Research Institute Nantong Jiangsu226000 China Computer Science and Engineering Department University of Connecticut StorrsCT06269 United States Computer Science Deparment City College of New York NY10031 United States Computer Science and Technology Department Jilin University Changchun Jilin130012 China State Key Laboratory of Robotics Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

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Motion control of robot based on a new integral separated PID

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International Journal of Wireless and Mobile Computing 2016年第3期11卷 207-213页

作者： Meng, Xiang-Ping Kou, Lei Yuan, Quan-De Pi, Yu-Zhen Ke, Wen-De School of Electrical Engineering and Information Technology Changchun Institute of Technology Changchun China School of Information Engineering Northeast Dianli University Jilin Shi China Department of Computer Science Guangdong University of Petrochemical Technology Guangdong China

For the mobile robot to control the rotation angle, the ordinary integral separated PID has the problems of fluctuation, overshoot and slow response speed. A new integrated control algorithm is proposed, which can get better effect by controlling the proportion and integral term of the controller. The new integrated PID controller avoids the overshoot and fluctuation;at the same time, it improves the response speed and the stability of the system, and also the accuracy of navigation. By using this algorithm, the robot can avoid the jitter, which can reduce the wheels' wear, and improve the response speed of the system and target accessibility of the robot tracking. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Mobile robots

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Author Correction: Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets

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Nature communications 2021年第1期12卷 7260页

作者： Merel C Postema Daan van Rooij Evdokia Anagnostou Celso Arango Guillaume Auzias Marlene Behrmann Geraldo Busatto Filho Sara Calderoni Rosa Calvo Eileen Daly Christine Deruelle Adriana Di Martino Ilan Dinstein Fabio Luis S Duran Sarah Durston Christine Ecker Stefan Ehrlich Damien Fair Jennifer Fedor Xin Feng Jackie Fitzgerald Dorothea L Floris Christine M Freitag Louise Gallagher David C Glahn Ilaria Gori Shlomi Haar Liesbeth Hoekstra Neda Jahanshad Maria Jalbrzikowski Joost Janssen Joseph A King Xiang Zhen Kong Luisa Lazaro Jason P Lerch Beatriz Luna Mauricio M Martinho Jane McGrath Sarah E Medland Filippo Muratori Clodagh M Murphy Declan G M Murphy Kirsten O'Hearn Bob Oranje Mara Parellada Olga Puig Alessandra Retico Pedro Rosa Katya Rubia Devon Shook Margot J Taylor Michela Tosetti Gregory L Wallace Fengfeng Zhou Paul M Thompson Simon E Fisher Jan K Buitelaar Clyde Francks Department of Language & Genetics Max Planck Institute for Psycholinguistics Nijmegen The Netherlands. Department of Cognitive Neuroscience Donders Institute for Brain Cognition and Behaviour Donders Centre for Cognitive Neuroimaging Radboud University Medical Centre Nijmegen The Netherlands. Bloorview Research Institute Holland Bloorview Kids Rehabilitation Hospital and Department of Pediatrics University of Toronto Toronto ON USA. Child and Adolescent Psychiatry Department Gregorio Marañón General University Hospital School of Medicine Universidad Complutense IiSGM CIBERSAM Madrid Spain. Institut de Neurosciences de la Timone UMR 7289 Aix Marseille Université CNRS Marseille France. Department of Psychology Carnegie Mellon University Pittsburgh PA USA. Laboratory of Psychiatric Neuroimaging (LIM-21) Departamento e Instituto de Psiquiatria Hospital das Clinicas HCFMUSP Faculdade de Medicina Universidade de Sao Paulo Sao Paulo SP Brazil. IRCCS Stella Maris Foundation viale del Tirreno 331 56128 Pisa Italy. Department of Clinical and Experimental Medicine University of Pisa Pisa Italy. Department of Child and Adolescent Psychiatry and Psychology Hospital Clinic Psychiatry Unit Department of Medicine 2017SGR881 University of Barcelona IDIBAPS CIBERSAM Barcelona Spain. Department of Forensic and Neurodevelopmental Sciences Institute of Psychiatry Psychology & Neuroscience King's College London London UK. Institute for Pediatric Neuroscience NYU Child Study Center New York NY USA. Department of Psychology Ben-Gurion University of the Negev Beer Sheva Israel. Brain Center Rudolf Magnus Department of Psychiatry University Medical Center Utrecht Utrecht The Netherlands. Department of Child and Adolescent Psychiatry Psychosomatics and Psychotherapy University Hospital Goethe University Frankfurt am Main Frankfurt Germany. Imaging Genetics Center Mark and Mary Stevens Neuroimaging and Informatics Institute Keck School of Medicine of USC University o

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The Improved Characteristics of Bionic Gabor Representations by Combining with SIFT Key-points for Iris Recognition

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Journal of Bionic engineering 2015年第3期12卷 504-517页

作者： Yuanning Liu Fei He Xiaodong Zhu Zhen Liu Ying Chen Ye Han Lijiao Yu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Chanschun 130012 China Graduate School of Engineering Nagasaki Institute of Applied Science Japan College of Software Nanchang Hangkong University Nanchang 330063 China

Gabor filters are generally regarded as the most bionic filters corresponding to the visual perception of human. Their filtered coefficients thus are widely utilized to represent the texture information of irises. However, these wavelet-based iris representations are inevitably being misaligned in iris matching stage. In this paper, we try to improve the characteristics of bionic Gabor representations of each iris via combining the local Gabor features and the key-point descriptors of Scale Invariant Feature Transformation （SIFT）, which respectively simulate the process of visual object class recognition in frequency and spatial domains. A localized approach of Gabor features is used to avoid the blocking effect in the process of image division, meanwhile a SIFT key point selection strategy is provided to remove the noises and probable misaligned key points. For the combination of these iris features, we propose a support vector regression based fusion rule, which may fuse their matching scores to a scalar score to make classification decision. The experiments on three public and self-developed iris datasets validate the discriminative ability of our multiple bionic iris features, and also demonstrate that the fusion system outperforms some state-of-the-art methods.

关键词： iris recognition bionic Gabor features scale invariant feature transformation support vector regression score level fusion

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A Chinese Topic Crawler Focused on Customer Development

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Procedia CIRP 2016年 56卷 476-480页

作者： Tong Wu Yanchun Liang Chunguo Wu Shifeng Piao Deyin Ma Guozhong Zhao Xiaosong Han College of Computer Science and Technology Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry Jilin University Changchun 130012 China Zhuhai Laboratory of Key Laboratory for Symbol Computation and Knowledge Engineering of Ministry of Education Zhuhai College of Jilin University Zhuhai 519041 China School of Business Jilin University Changchun 130012 China Daqing Oilfield Personnel Development Institute CNPC Daqing 163000 China

This paper presents a Chinese topic crawler focused on customer development, in order to meet the needs of users for more accurate and particular Internet information. The concept of meta-search engine is introduced, and the keywords are expanded by the ontology of HowNet. Through the web crawler, preprocessing and classification, the information on customer relations can be divided into three categories: company, platform and meaningless. Numerical experiments show that satisfactory results can be obtained in some particular information-seeking areas. The average accuracy for classification is more than 80%, which can meet customer needs in most cases.

关键词： Topic crawler Customer development Meta-search engine Semantic similarity

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A global view of behavioural design approach for 3D printing in the early design stage

A global view of behavioural design approach for 3D printing...

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2015 2nd International Conference on Machinery,Materials engineering,Chemical engineering and Biotechnology(MMECEB 2015)

作者： JIANG Yixue SUN Huichao JI Shijiun ZHAO Liying ZHAO Yaohong Computer Foundation Teaching Center Changchun Institute of Technology School of Mechanical Science and Engineering Jilin University Faculty of computer science and technology Changchun University

ISBN: (纸本)9781510819092

The mechanical engineering problems today become more and more complex particularly in the area of new product *** product design is usually performed simply taking into consideration system functions and structures,while users' behaviours in terms of using the system are generally not fully considered during the early design *** paper covers the multi-trade engineering design,and deals with the development of a behavioural design approach to help designers to optimize the product performance in the early design phase through taking into account utilization conditions and requirements.

关键词： Product design behavioural design Utilization condition Utilization requirement 3D printing Printing, Three-Dimensional design approach design phases design engineering Behavioural

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Research on cross-correlative blur length estimation algorithm in motion blur image 4

Research on cross-correlative blur length estimation algorit...

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4th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2015

作者： Li, Dongming Su, Zhengbo Zhu, Guang Su, Wei Zhang, Lijuan School of Information Technology Jilin Agriculture University Changchun130118 China School of Computer Science and Technology Harbin Institute of Technology 150001 China China Mobile Group Jilin Company Tonghua Branch Tonghua134001 China Informatization Center Changchun University of Science and Technology Changchun130022 China College of Computer Science and Engineering Changchun University of Technology Changchun130012 China

This paper proposed a motion blur length estimation method which applied to motion blur image restoration, which applies cross correlation algorithm to multi-frames motion degraded images. In order to find motion blur parameters, Radon transform method is used to estimate motion blur angle. It extracts gray value of pixels which is around blur center, calculates correlation for getting motion blur length, and uses Lucy-Richardson iterative algorithm to restore the degraded image. Experiments show that this method can accurately estimate blur parameters, reduce noise and obtain better restoration results. © 2015, Fuji Technology Press Ltd. All rights reserved.

关键词： Image reconstruction

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Selective and incremental fusion for fuzzy and uncertain data based on probabilistic graphical model

Selective and incremental fusion for fuzzy and uncertain dat...

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作者： Zhu, Yungang Liu, Dayou Li, Yong Wang, Xinhua College of Computer Science and Technology Jilin University No. 2699 Qianjin Street Changchun China State Key Laboratory of Applied Optics Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun Jilin China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Mathematics Jilin University Changchun China

Active and dynamic fusion for fuzzy and uncertain data have key challenges such as high complexity and difficult to guarantee accuracy, etc. In order to resolve the challenging issues, in this article a selective and incremental data fusion approach based on probabilistic graphical model is proposed. General Bayesian networks are adopted to represent the relationship among the data and fusion result. It purposively selects the most informative and decision-relevant data for fusion based on Markov Blanket in probabilistic graphical model. Meanwhile we present a special incremental learning method for updating the fusion model to reflect the temporal changes of environment. Theoretical analysis and experimental results all demonstrate the proposed method has higher accuracy and lower time complexity than existing state-of-the-art methods. © 2015 - IOS Press and the authors. All rights reserved.

关键词： Data fusion

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