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IEEE Conference on Decision and control

作者： Peter Wieland Gerd S. Schmidt Rodolphe Sepulchre Frank Allgöwer Institute for Systems Theory and Automatic Control University of Stuttgart Germany Department of Electrical Engineering and Computer Science University of Liège Belgium

The paper proposes a synchronization mechanism in a set of nonlinear oscillators interconnected through a communication network. In contrast to many existing results, we do not employ strong, diffusive couplings between the individual oscillators. Instead, each individual oscillator is weakly forced by a linear resonator system. The resonator systems are synchronized using results from consensus theory. The synchronized resonator systems force the frequencies of the nonlinear oscillators to a constant frequency and thereby yield synchronization of the oscillators. We prove this result using the theory of small forcings of stable oscillators. This synchronization scheme allows for synchronization of nonlinear oscillators over uniformly connected communication graphs.

关键词： Oscillators Synchronization Couplings Orbits Harmonic analysis Convergence Manifolds

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A new watershed algorithm for protein spot detection in 2DGE images using the notion of fuzzy relations

A new watershed algorithm for protein spot detection in 2DGE...

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International Conference on computer Technology and Development (ICCTD)

作者： Shaheera Rashwan Talaat Faheem Amany Sarhan Bayumy A.B. Youssef Informatics Research Institute Mubarak City of Science and Technology Alexandria Egypt Computer Science and Automatic Control Department Faculty of Engineering Tanta University Tanta Egypt

An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping protein spots correctly and to find the abundance of weak protein spots. To enable comparison of protein patterns between different samples, it is necessary to match the patterns so that homologous spots are identified. In this paper we describe a new robust technique to segment and model the different spots present in the gels. The watershed segmentation algorithm is modified to handle the problem of over segmentation by initially partitioning the image to mosaic regions using the composition of fuzzy relations. The experimental results showed the effectiveness of the proposed algorithm to overcome the over segmentation problem associated with the available algorithms.

关键词： Image segmentation Zinc Databases Pixel

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Convexification of optimal power flow problem

Convexification of optimal power flow problem

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Annual Allerton Conference on Communication, control, and Computing

作者： Javad Lavaei Steven H. Low Department of Control and Dynamical Systems California Institute of Technology USA Computer Science and Electrical Engineering Departments California Institute of Technology USA

The optimal power flow (OPF) problem is nonconvex and generally hard to solve. We provide a sufficient condition under which the OPF problem is equivalent to a convex problem and therefore is efficiently solvable. Specifically, we prove that the dual of OPF is a semidefinite program and our sufficient condition guarantees that the duality gap is zero and a globally optimal solution of OPF is recoverable from a dual optimal solution. This sufficient condition is satisfied by standard IEEE benchmark systems with 14, 30, 57, 118 and 300 buses after small resistance (10 -5 per unit) is added to every transformer that originally assumes zero resistance. We justify why the condition might hold widely in practice from algebraic and geometric perspectives. The main underlying reason is that physical quantities such as resistance, capacitance and inductance, are all positive.

关键词： Optimized production technology Symmetric matrices Eigenvalues and eigenfunctions Transmission line matrix methods Resistance Null space

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Protein Fold Recognition and Remote Homology Detection Based on Profile-level Building Blocks

Protein Fold Recognition and Remote Homology Detection Based...

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International Conference on Biomedical engineering and computer science

作者： Lei Lin Yi Shen Bin Liu Xiaolong Wang School of Computer Science and Technology Harbin Institute of Technology Department of Control Science and Engineering Harbin Institute of Technology Harbin Institute of Technology Shenzhen Graduate School School of Computer Science andTechnology Harbin Institute of Technology

ISBN: (纸本)9781424453153;9781424453160

Protein remote homology detection and fold recognition are central problems in bioinformatics. In this paper, two kinds of profile-level building blocks of protein sequences, binary profiles and N-nary profiles, are presented, which contain the evolutionary information of the protein sequence frequency profile. The two building blocks are applied for protein remote homology and fold detection tasks. The latent semantic analysis (LSA) model is adopted to further improve the performance of our methods. Experiment results show that the methods based on profile-level building blocks give better results compared to related methods.

关键词： Fold recognition Remote homology detection Support Vector Machine Latent semantic analysis

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Feature selection for semi-supervised multi-label learning with application to gene function analysis 10

Feature selection for semi-supervised multi-label learning w...

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Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology

作者： Li, Guo-Zheng You, Mingyu Ge, Lei Yang, Jack Y. Yang, Mary Qu MOE Key Laboratory of Embedded System and Service Computing Tongji University Shanghai 201804 China Department of Control Science and Engineering Tongji University Shanghai 201804 China School of Computer Science and Engineering Shanghai University Shanghai 200072 China Purdue Univ. ECE West Lafayette IN 47907 United States Indiana Univ. Bioinformatics Center Indianapolis IN 46202 United States

ISBN: (纸本)9781450304382

This paper investigates gene function annotation of Yeast by using semi-supervised multi-label learning. Multi-label learning has been a hot topic in the bioinformatics field, but there are many samples unlabeled. Semi-supervised learning may be employed to utilize the unlabeled data. This paper proposes a novel semi-supervised multi-label learning algorithm COMN by combining Co-Training with ML-kNN to utilize the unlabeled yeast gene data to improve modeling accuracy of function annotation. Furthermore, an embedded feature selection algorithm PRECOMN is proposed to perform feature selection for COMN to remove the irrelevant and redundant features. Experimental results on one benchmark data set of Yeast show COMN and PRECOMN perform better than the original multi-label learning algorithm ML-kNN. Furthermore PRECOMN improves generalization performance of COMN. Copyright © 2010 ACM.

关键词： Feature Selection

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User adaptivity features of secured biomedical user adaptive system

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Advances in Intelligent and Soft Computing 2010年 80卷 155-164页

作者： Janckulik, Dalibor Motalova, Leona Krejcar, Ondrej Czekaj, Petr Department of Measurement and Control Faculty of Electrical Engineering and Computer Science VSB Technical University of Ostrava 17. Listopadu 15 Ostrava Poruba 70833 Czech Republic

ISBN: (纸本)9783642149887

User Adaptive Systems (UAS) are growing in past time along with expansion of intelligent ubiquitous systems to every piece of embedded device around us. These systems provide a many of interesting and useful services to support our day life needs in all areas include biomedical world of our bodies. Every such service need however to provide their results by some kind of interface. Therefore the need of a simple, intuitive and graphically attractive interface is much appreciated. Our chapter is focused to several areas of user interface design, user interface adaptivity and visualization. In all areas of developed system we implement secured ways. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： User interfaces

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An integrated control of shading blinds, natural ventilation, and HVAC systems for energy saving and human comfort

An integrated control of shading blinds, natural ventilation...

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2010 IEEE International Conference on Automation science and engineering, CASE 2010

作者： Sun, Biao Luh, Peter B. Jia, Qing-Shan Jiang, Ziyan Wang, Fulin Song, Chen Tsinghua University Beijing 100084 China Department of Electrical and Computer Engineering University of Connecticut Storrs CT United States Department of Building Science Tsinghua University Beijing 100084 China United Technology Research Center China Tsinghua-UTC Research Institute for Integrated Building Energy Safety and Control Systems Beijing 100084 China

ISBN: (纸本)9781424454471

Improving the control of shading blinds, lights, natural ventilation, and HVAC systems while satisfying human comfort requirements can result in significant energy cost savings with time-of-day electricity pricing. Traditionally, the above-mentioned devices are controlled separately. In this paper, a novel formulation for the integrated control and the corresponding solution methodology are presented. The problem is to minimize daily energy costs of lights and HVAC systems while satisfying equipment capacities, system dynamics, and human comfort. The problem is complicated since 1) individual rooms are coupled as they compete for the HVAC with limited capacity and nonlinear characteristics, and 2) the problem is believed to be NP-hard in view that decision variables are all discrete. A solution methodology that combines Lagrangian relaxation and stochastic dynamic programming is developed within the surrogate optimization framework to obtain near-optimal strategies. These strategies are further refined to become novel control rules for easy practical implementation. Numerical simulation results show that both of the above strategies can effectively reduce the total energy cost, and that the integrated control works better than selected traditional control strategies. © 2010.

关键词： Integrated control

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Vision tracking system for mobile robots using two Kalman filters and a slip detector

Vision tracking system for mobile robots using two Kalman fi...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Wonsang Hwang Jaehong Park Hyun-il Kwon Muhammad Latif Anjum Jong-hyeon Kim Changhun Lee Kwang-soo Kim Dong-il “Dan” Cho Department of Electrical Engineering and Computer Science/ASRI/ISRC Seoul National University Seoul South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea

The vision tracking system in this paper estimates the robot position relative to a target and rotates the camera towards the target. To estimate the robot position of mobile robot, the system combines information from an accelerometer, a gyroscope, two encoders, and a vision sensor. The encoders can provide fairly accurate robot position information, but the encoder data are not reliable when robot wheels slip. Accelerometer data can provide the robot position information even when the wheels are slipping, but a long term position estimation is difficult, because of integration of errors arising from bias and noise. To overcome the drawbacks of each method mentioned in the above, the proposed system uses data fusion with two Kalman filters and a slip detector. One Kalman filter is for the slip case, and the other is for the no-slip case. Each Kalman filter uses a different sensor combination for estimating the robot motion. The slip detector compares the data from the accelerometer with the data from the encoders, and decides if a slip condition has occurred. Accordingly, based on the decision of the slip detector, the system chooses one of the outputs of the two Kalman filters, which is subsequently used for calculating the camera angle of the vision tracking system. The vision tracking system is implemented on a two-wheeled robot. To evaluate the tracking and recognition performance of the implemented system, experiments are performed for various robot motion scenarios in various environments.

关键词： Robot sensing systems Kalman filters Mobile robots Tracking Machine vision Detectors

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Sensor data fusion using Unscented Kalman Filter for accurate localization of mobile robots

Sensor data fusion using Unscented Kalman Filter for accurat...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Muhammad Latif Anjum Jaehong Park Wonsang Hwang Hyun-il Kwon Jong-hyeon Kim Changhun Lee Kwang-soo Kim Dong-il “Dan” Cho Department of Electrical Engineering and Computer Science/ASRI/ISRC Seoul National University Seoul South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea

This paper presents a sensor-data-fusion method using an Unscented Kalman Filter (UKF), to implement an accurate localization system for mobile robots. Integration of data from various sensors using an efficient sensor fusion algorithm is required to achieve a continuous and accurate localization of mobile robots. We use data from low cost accelerometer, gyroscope, and encoders to obtain robot motion information. The UKF, used as an efficient sensor fusion algorithm, is an advanced filtering technique which outperforms the widely-used Extended Kalman Filter (EKF) in many applications. The system is able to compensate for the slip errors by switching between two different UKF models built for slip and no-slip cases. Since the accelerometer error accumulates with time because of the double integration, the data from accelerometer is only used in slip model of the UKF. The results obtained from UKF sensor fusion algorithm are compared with the results from an accurate distance laser sensor. The experimental results show that the system is able to accurately track the motion of the robot in various robot motion scenarios including the scenario when robot's encoders data is not reliable due to the slip occurrence.

关键词： Robot sensing systems Mobile robots Accelerometers Gyroscopes Noise Kalman filters

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T2: A novel two degree-of-freedom translational parallel robot for pick-and-place operation

T2: A novel two degree-of-freedom translational parallel rob...

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Li, Zhibin Lou, Yunjiang Li, Zexiang Yang, Guilin Gao, Jian Division of Control and Mechatronics Engineering Shenzhen Graduate School Harbin Institute of Technology Shenzhen China School of Mechanical and Electrical Engineering Shenzhen Polytechnic China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Singapore Institute of Manufacturing Technology Singapore Singapore School of Electromechanical Engineering Guangdong University of Technology 729 East Dongfeng Road Guangzhou 510090 China

ISBN: (纸本)9781424451951

This paper deals with the conceptual design and kinematic analysis of a novel 2-DOF translational parallel robot for pick-and-place operations named as T2. The proposed architecture is composed of two actuated kinematic chains in the vertical plane and a passive chains in the transversal plane to make the orientation of the moving platform unchangeable. It not only has high speed and high acceleration, but also has a simple and symmetrical mechanism, and will be easier to control and cheaper than the existing 2-DOF robot. In this paper, the loop-closure equations of the robot is derived. the inverse kinematics, forward kinematics, singularity, and workspace analysis are presented. © 2010 IEEE.

关键词： Robots

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