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Fluorescence and SEM correlative microscopy for nanomanipulation of subcellular structures

Light(Science & Applications) 2014年第1期3卷 13-19页

作者： Zheng Gong Brandon K Chen Jun Liu Chao Zhou Dave Anchel Xiao Li Ji Ge David P Bazett-Jones Yu Sun Advanced Micro and Nanosystems Laboratory University of TorontoTorontoON M5S 3G8Canada State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China The Genetics and Genome Biology Program the Hospital for Sick ChildrenTorontoON M5G 1X8Canada

Nanomanipulation under scanning electron microscopy(SEM)enables direct interactions of a tool with a *** recently developed a nanomanipulation technique for the extraction and identification of DNA contained within sub-nuclear locations of a single cell *** nanomanipulation of sub-cellular structures,a key step is to identify targets of interest through correlating fluorescence and SEM *** DNA extraction task must be conducted with low accelerating voltages resulting in low imaging *** is imposed by the necessity of preserving the biochemical integrity of the *** poor imaging conditions make the identification of nanometer-sized fiducial marks *** paper presents an affine scale-invariant feature transform(ASIFT)based method for correlating SEM images and fluorescence microscopy *** performance of the image correlation approach under different noise levels and imaging magnifications was quantitatively *** optimal mean absolute error(MAE)of correlation results is 68634 nm under standard *** with manual correlation by skilled operators,the automated correlation approach demonstrates a speed that is higher by an order of *** the SEM-fluorescence image correlation approach,targeted DNA was successfully extracted via nanomanipulation under SEM conditions.

关键词： correlative microscopy fluorescence image correlation nanomanipulation SEM subcellular structures

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Emotion Evolution under Entrainment in Social Media 3

Emotion Evolution under Entrainment in Social Media

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3rd National Conference on Social Media Processing (SMP)

作者： He, Saike Zheng, Xiaolong Zeng, Daniel Xu, Bo Tian, Guanhua Hao, Hongwei Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Arizona Dept Management Informat Syst Tucson AZ 85721 USA Chinese Acad Sci Inst Automat Beijing 100190 Peoples R China

ISBN: (纸本)9783662455579

Emotion entrainment refers to the phenomenon that people gradually synchronize to other's emotion states through social interactions. Previous studies mainly focus on conducting laboratory experiments or small-scale offline surveys. Large-scale empirical studies on real-world emotion entrainment among individuals are still to be explored. Especially, determinants that influence this process are not clear. Also, how emotion evolves among people in a large scale population is still unknown. In this study, we attempt to conduct a large-scale empirical analysis on emotion entrainment based on online social media information. For this purpose, we develop a model-free framework to measure entrainment strength among people. Experimental results indicate that interaction partners with strong reciprocal entrainment tend to assume similar emotion states, and negative emotion is more empathetic in an intimate relationship. Especially, when the relationship is balanced, users are more emotionally similar to each other.

关键词： Emotion Entrainment Transfer Entropy Social Media

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Spatial S-R compatibility effect with head rotation

Spatial S-R compatibility effect with head rotation

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International MultiConference of Engineers and Computer Scientists, IMECS 2014

作者： Tsang, Steve N.H. Kang, Stefanie X.Q. Chan, Alan H.S. Department of Systems Engineering and Engineering Management City University of Hong Kong Kowloon Tong Kowloon Hong Kong School of Management Xi'an Jiao Tong University State Key Lab. for Manufacturing Key Lab. of the Ministry of Education for Process Control and Efficiency Projects Xi'an710049 China

ISBN: (纸本)9789881925336

The effects of signal modality (visual and auditory), hand condition (crossed and uncrossed), and head orientation (upright, right-90, left-90, and left back) on response performance were e xamined in this study. The results showed all the factors significantly affected the reaction time of participants and there was an interaction effect between signal modality and head orientation. Responses for visual signals were significantly faster than those for auditory signals, and responses made with uncrossed hand were superior to those with crossed hand. On head orientation, upright orientation produced the fastest reaction time, while reaction time for head rotated 90° right (right-90) was significantly faster than that for head rotated 90° left (left-90) and rotated left backward (left back). Regarding the significant interaction effect between signal modality and head orientation, processing time for visual signals was always faster than that for auditory signals. Such modality superiority increased to a larger extent under the left 90 and left back head orientations. The findings in this experiment provide some practical ergonomics recommendations for improving control console design in terms of signal-response layout, stimulus-hand arrangement, head orientation, and methods of presenting visual and auditory signals.

关键词： Ergonomics

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A Model-based Demand-balance control for complex Urban traffic Networks 17

A Model-based Demand-balance Control for Complex Urban traff...

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IEEE 17th International Conference on Intelligent Transportation systems (ITSC)

作者： Lin, Shu Kong, Qing-Jie Univ Chinese Acad Sci Sch Comp & Control Engn Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781479960781

Traffic control is an effective and efficient method for the problem of traffic congestion. For complex urban traffic networks, it is necessary to design a high-level controller to regulate the traffic demands. Under the parallel control framework for complex traffic networks, we design a demand-balance MPC controller based on the MFD-based multi-subnetwork model, which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the subnetworks. The transferring traffic flows among subnetworks are indirectly controlled by the demand-balance MPC controller, and a global optimality can be achieved for the entire traffic network. The simulation results show the effectiveness of the proposed controller in improving the network traffic throughput.

关键词： controllers

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Closed-loop controlled nanoprobing inside SEM 14

Closed-loop controlled nanoprobing inside SEM

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2014 14th IEEE International Conference on Nanotechnology, IEEE-NANO 2014

作者： Zhou, Chao Gong, Zheng Chen, Brandon K. Tan, Min Sun, Yu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Advanced Micro and Nanosystems Laboratory University of Toronto TorontoONM5S 3G8 Canada

ISBN: (纸本)9781479956227

Probing nanostructures (e.g., nanoelectronics) requires accurate and precise nanopositioning. Furthermore, since measuring I-V data from DC to GHz typically takes more than a minute, little drift is tolerated during the data collection process. This paper reports a closed-loop controlled nanomanipulation system for operation inside a scanning electron microscope (SEM). The system consists of long range coarse positioners and high precision fine positioners. A new position sensing method was developed to achieve nanometer sensing resolution. Closed-loop controller is introduced to control fine. Experimental results demonstrate that the system is capable of automated probing of nanostructures with accuracy better than 3 nm and a drift rate © 2014 IEEE.

关键词： Nanostructures

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Data Dissemination in VANETs: A Scheduling Approach

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION systems 2014年第5期15卷 2213-2223页

作者： Shen, Xia Cheng, Xiang Yang, Liuqing Zhang, Rongqing Jiao, Bingli Peking Univ State Key Lab Adv Opt Commun Syst & Networks Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China Peking Univ Wireless Commun & Signal Proc Res Ctr Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100080 Peoples R China

Data dissemination is a promising application for the vehicular network. Existing data dissemination schemes are generally built upon some random-access protocol, which results in the unavoidable collision problem. To address this problem, in this paper we design a novel data dissemination strategy from the scheduling perspective. A data dissemination scheduling framework is then proposed. In the proposed framework, the main challenge is how best to assign the transmission opportunity to nodes with maximum dissemination utility and to avoid the collision problem. We then propose a novel and practical relay selection strategy and adopt the space-time network coding (STNC) with low detection complexity and space-time diversity gain to improve the dissemination efficiency. Compared with the random-access dissemination such as CodeOn-Basic and the noncooperative transmission, our proposed data dissemination strategy performs better in terms of the dissemination delay. In addition, the proposed strategy works even better in the dense network than the sparse scenario, benefitting from the space-time diversity gain of STNC and no-collision transmissions. This is in sharp contrary to the CodeOn-Basic method.

关键词： Cooperative communication data dissemination relay selection space-time network coding vehicular ad hoc network (VANET)

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An Improved eLBPH Method for Facial Identity Recognition: Expression-Specific Weighted Local Binary Pattern Histogram

An Improved eLBPH Method for Facial Identity Recognition: Ex...

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IEEE International Conference on Robotics and Biomimetics

作者： Xuanyang Xi Zhengke Qin Shuguang Ding Hong Qiao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing 100190 Institute of Applied Mathematics AMSS Chinese Academy of Sciences Beijing 100190

ISBN: (纸本)9781467396769

Face perception is one of the most important tasks in robot vision especially for service robots. The spatially enhanced local binary pattern histogram (eLBPH) method has been proved to be effective for facial image representation and analysis, but the expression factor isn't considered and the region-dividing method is rough. In this paper, inspired by the biological mechanism of human memory and face perception, we improve the eLBPH and propose a new method, expressionspecific weighted local binary pattern histogram (EWLBPH). Accordingly, the new method introduces a semantic division process and an extended modulation process into the classical eLBPH. What's more, for the facial expression recognition, we propose a novel method which utilizes the convolutional deep belief network (CDBN) to extract discriminative information and represent them effectively. Finally, through experiments we verify the rationality and effectiveness of the improvement and two psychophysical findings.

关键词： eLBPH CDBN facial

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Task-Specific Performance Evaluation of UGVs: Case Studies at the IVFC

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION systems 2014年第5期15卷 1969-1979页

作者： Huang, WuLing Wen, Ding Geng, Jason Zheng, Nan-Ning Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100080 Peoples R China Natl Univ Def Technol Ctr Mil Computat Expt & Parallel Syst Technol Changsha 410073 Hunan Peoples R China Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China

Performance evaluation is considered as an important part of the unmanned ground vehicle (UGV) development;it helps to discover research problems and improves driving safety. In this paper, a task-specific performance evaluation model of UGVs applied in the Intelligent Vehicle Future Challenge (IVFC) annual competitions is discussed. It is defined in functional levels with a formal evaluation process, including metrics analysis, metrics preprocessing, weights calculation, and a technique for order of preference by similarity to ideal solution and fuzzy comprehensive evaluation methods. IVFC 2012 is selected as a case study and overall performances of five UGVs are evaluated with specific analyzed autonomous driving tasks of environment perception, structural on-road driving, unstructured zone driving, and dynamic path planning. The model is proved to be helpful in IVFC serial competition UGVs performance evaluation.

关键词： Autonomy levels comprehensive evaluation methods driving tasks analysis performance evaluation unmanned ground vehicle (UGV)

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Neural network for solving Nash equilibrium problem in application of multiuser power control

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NEURAL NETWORKS 2014年 57卷 73-78页

作者： He, Xing Yu, Junzhi Huang, Tingwen Li, Chuandong Li, Chaojie Southwest Univ Sch Elect & Informat Engn Chongqing 400715 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Texas A&M Univ Dept Math Doha Qatar RMIT Univ Sch Elect & Comp Engn Melbourne Vic 3001 Australia

In this paper, based on an equivalent mixed linear complementarity problem, we propose a neural network to solve multiuser power control optimization problems (MPCOP), which is modeled as the noncooperative Nash game in modern digital subscriber line (DSL). If the channel crosstalk coefficients matrix is positive semidefinite, it is shown that the proposed neural network is stable in the sense of Lyapunov and global convergence to a Nash equilibrium, and the Nash equilibrium is unique if the channel crosstalk coefficients matrix is positive definite. Finally, simulation results on two numerical examples show the effectiveness and performance of the proposed neural network. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Neural network Multiuser power control Nash game Global convergence

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Causal Inference in Social Media Using Convergent Cross Mapping

Causal Inference in Social Media Using Convergent Cross Mapp...

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IEEE Joint Intelligence and Security Informatics Conference (JISIC)

作者： Chuan Luo Xiaolong Zheng Daniel Zeng State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson USA

Revealing underlying causal structure in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing causal inference methods for social media usually rely on limited explicit causal context, pre-assume certain user interaction model, or neglect the nonlinear nature of social interaction, which could lead to bias estimations of causality. Inspired from recent advance in causality detection in complex ecosystems, we propose to take advantage of a novel nonlinear state space reconstruction based approach, namely Convergent Cross Mapping, to perform causal inference in social media. Experimental results on real world social media datasets show the effectiveness of the proposed method in causal inference and user behavior prediction in social media.

关键词： Media Time series analysis Manifolds Nonlinear dynamical systems Twitter Security

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