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A New Evolutionary-Incremental Framework for Feature Selection

Advances in Artificial Intelligence 2014年第1期2014卷

作者： Mohamad-Hoseyn Sigari Muhammad-Reza Pourshahabi Hamid-Reza Pourreza Machine Vision Research Lab. Computer Engineering Department Ferdowsi University of Mashhad Mashhad 91779 Iranum.ac.ir Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran 14399 Iranut.ac.ir

Feature selection is an NP-hard problem from the viewpoint of algorithm design and it is one of the main open problems in pattern recognition. In this paper, we propose a new evolutionary-incremental framework for feature selection. The proposed framework can be applied on an ordinary evolutionary algorithm (EA) such as genetic algorithm (GA) or invasive weed optimization (IWO). This framework proposes some generic modifications on ordinary EAs to be compatible with the variable length of solutions. In this framework, the solutions related to the primary generations have short length. Then, the length of solutions may be increased through generations gradually. In addition, our evolutionary-incremental framework deploys two new operators called addition and deletion operators which change the length of solutions randomly. For evaluation of the proposed framework, we use that for feature selection in the application of face recognition. In this regard, we applied our feature selection method on a robust face recognition algorithm which is based on the extraction of Gabor coefficients. Experimental results show that our proposed evolutionary-incremental framework can select a few number of features from existing thousands features efficiently. Comparison result of the proposed methods with the previous methods shows that our framework is comprehensive, robust, and well-defined to apply on many EAs for feature selection.

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Interlayer vibrational modes in few-quintuple-layer Bi2Te3 and Bi2Se3 two-dimensional crystals: Raman spectroscopy and first-principles studies

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Physical Review B 2014年第24期90卷 245428-245428页

作者： Yanyuan Zhao Xin Luo Jun Zhang Junxiong Wu Xuxu Bai Meixiao Wang Jinfeng Jia Hailin Peng Zhongfan Liu Su Ying Quek Qihua Xiong Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis Singapore 138632 Singapore Department of Physics Centre for Advanced 2D Materials and Graphene Research Centre National University of Singapore 6 Science Drive 2 Singapore 117546 Singapore Center for Nanochemistry Beijing National Laboratory for Molecular Sciences (BNLMS) College of Chemistry and Molecular Engineering Peking University Beijing 100871 People's Republic of China Department of Physics Key Laboratory of Artificial Structures and Quantum Control Ministry of Education Shanghai Jiao Tong University Shanghai 200240 People's Republic of China NOVITAS Nanoelectronics Centre of Excellence School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore

Layered materials, such as graphite/graphene, boron nitride, transition metal dichalcogenides, represent materials in which reduced size, dimensionality, and symmetry play critical roles in their physical properties. Here, we report on a comprehensive investigation of the phonon properties in the topological insulator Bi2Te3 and Bi2Se3 two-dimensional (2D) crystals, with the combination of Raman spectroscopy, first-principles calculations, and group theory analysis. Low frequency (<30cm−1) interlayer vibrational modes are revealed in few-quintuple-layer (QL) Bi2Te3/Bi2Se3 2D crystals, which are absent in the bulk crystal as a result of different symmetries. The experimentally observed interlayer shear and breathing mode frequencies both show blueshifts, with decreasing thickness in few-QL Bi2Te3 (down to 2QL) and Bi2Se3 (down to 1QL), in agreement with first-principles calculations and a linear chain model, from which the interlayer coupling force constants can be estimated. Besides, an intense ultralow (<12cm−1) frequency peak is observed in 2–4QL Bi2Te3, which is tentatively attributed to a substrate-induced interface mode supported by a linear chain model analysis. The high frequency Raman peaks exhibit frequency shifts and broadening from 3D to 2D as a result of the phonon confinement effect. Our studies shed light on a general understanding of the influence of dimensionality and crystal symmetry on the phonon properties in layered materials.

关键词： RAMAN spectroscopy GROUP theory CRYSTAL symmetry GRAPHITE BORON nitride TRANSITION metals PHONONS

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Assessing control Performance in Closed-loop Anesthesia

Assessing Control Performance in Closed-loop Anesthesia

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Mediterranean Conference on control & Automation

作者： Kristian Soltesz Guy A. Dumont J. Mark Ansermino LCCC Linnaeus Center and the eLLIIT Excellence Center at the Department of Automatic Control Lund University Department of Electrical and Computer Engineering University of British Columbia Department of Anesthesiology Pharmacology and Therapeutics University of British Columbia

ISBN: (纸本)9781479909964

Recently, several control systems for closed-loop anesthesia have been demonstrated both in simulation and clinical studies. A set of performance measures, proposed by Varvel et al., have constituted the standard means of comparing such systems. This paper debates the adequacy of the Varvel measures, as applied to closed-loop anesthesia, and proposes an alternative set of measures. Key features of the proposed measures are: wide acceptance within the control community;reflection of clinical feasibility;separate measures for induction and maintenance of anesthesia;separation of outlier detection and performance evaluation. The proposed measures are descriptive, few, and easy to compute.

关键词： Medical control system Performance evalua- tion Drug delivery

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A positive tensions PID controller for a planar cable robot: An experimental study

A positive tensions PID controller for a planar cable robot:...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Mohammad A. Khosravi Hamid D. Taghirad Reza Oftadeh Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran Intelligent Hydraulics and Automation Department (lHA) Tampere University of Technology Finland

In this paper design and control of planar cable-driven parallel robots are studied in an experimental prospective. Since in this class of manipulators, cable tensionability conditions must be met, feedback control of such robots becomes more challenging than for conventional robots. To meet these conditions, internal force control structure is introduced and used in addition to a PID control scheme to ensure that all cables remain in tension. A robust PID controller is proposed for partial knowledge of the robot, to keep the tracking errors bounded. Finally, the effectiveness of the proposed control algorithm is examined through experiments on K.N. Toosi planar cable-driven robot and it is shown that the proposed control structure is able to provide suitable performance in practice.

关键词： PD control Assembly Logic gates Servomotors Force

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Trajectory tracking and obstacle avoidance of a ball and plate system using fuzzy theory

Trajectory tracking and obstacle avoidance of a ball and pla...

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Iranian Conference on Fuzzy Systems (IFSC)

作者： M. Ali Rastin Erfan Talebzadeh S. Ali A. Moosavian Mojtaba Alaeddin Department of Mechanical Engineering K. N. Toosi University of Technology Tehran Iran Center of Excellence on Robotics and Control K. N. Toosi University of Technology Tehran Iran

Ball and plate platform is a nonlinear and underactuated plant. The plate is assumed to be the end-effector of a 3RRS parallel mechanism. By tilting the plate, the ball in opposite direction is pushed. The system of equation is achieved using Lagrange method. In this article, a fuzzy approach is proposed to control the ball on a given path. It consists of two level TS type fuzzy controller; the first level tries to lead the ball to the desired goal, and the second one prevents collision between the ball and obstacles.

关键词： Collision avoidance Trajectory Educational institutions Mathematical model Mechanical engineering Equations Robots

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Finite-time Consensus of Networked Lipschitz Nonlinear Agents Under Communication Constraints

Finite-time Consensus of Networked Lipschitz Nonlinear Agent...

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American control Conference

作者： Yongcan Cao Wei Ren David W. Casbeer Corey Schumacher Control Science Center of Excellence Air Force Research Laboratory Wright-Patterson AFB OH 45433 Department of Electrical Engineering University of California Riverside CA 92521

ISBN: (纸本)9781479901777

In this paper, we study the finite-time consensus problem for a team of networked Lipschitz nonlinear agents under communication constraints, where each agent has a limited sensing range. Because the induced interaction graph is typically state-dependent and dynamic, we propose a distributed nonlinear control algorithm that is capable of preserving the initial interaction patterns. By using tools from nonsmooth analysis, we present conditions on the initial interaction graph and the control gain such that finite-time consensus can be reached. More specifically, an upper bound of the convergence time is derived via a two-step analysis.

关键词： Consensus Cooperative control Finite-time Convergence Lipschitz Nonlinear Dynamics Limited Sensing Range Nonsmooth Analysis

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Using general sound descriptors for early autism detection

Using general sound descriptors for early autism detection

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Asian control Conference

作者： Seyyed Hamid R. Ebrahimi Motlagh Hadi Moradi Hamidreza Pouretemad Advanced Robotics and Intelligent Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran ARIS and CIPCE School of ECE College of Engineering University of Tehran Iran Shahid Beheshti University Tehran Tehran IR

ISBN: (纸本)9781467357661

Early detection of autism is crucial for successfully dealing with it and reduce/eliminate its effects. In other words, early treatment can make a big difference in the lives of many children with this disorder. Consequently, in this study the pattern recognition algorithms are used to determine the unique features of the voice of autistic children to distinguish between the autistic children and normal children between ages 2 and 3. These descriptors extract various audio features such as temporal features, energy features, harmonic features, perceptual and spectral features. Two feature selection methods are used and the results are compared. One method is based on comparing the effect of using all of a group features together and another method compares the effect of using features one by one. The selected features are used to classify selected children into autistic and non-autistic ones. The results show 96.17 percent accuracy. After feature selection, we classified data using S.V.M classifier for recognizing two types of input data.

关键词： Autism Feature extraction Mel frequency cepstral coefficient Educational institutions Harmonic analysis Accuracy Motion pictures

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Model Predictive control with Sequential Linearization Approach for a Nonlinear Time Varying Biological System

Model Predictive Control with Sequential Linearization Appro...

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第25届中国控制与决策会议

作者： Mojtaba Zaare Mehrjerdi Behzad Moshiri Ghassem Amoabediny Arman Ashktorab Babak Nadjar Araabi Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Research Center for New Technologies in Life Science Engineering University of Tehran Department of Life Science Engineering Faculty of New Technologies University of Tehran Department of Chemical Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467355339

As life science progress and its consequences provide human life necessities, controlling these kinds of processes has recently become very important. Unfortunately because of including delay and nonlinear behavior of micro-organisms these processes have nonlinear time varying model and so controlling them is too complicated. These nonlinear dynamics are too slow and so it is possible to linearize the model step by step and apply control signal to the local linearized models. In this paper we design a model predictive controller for each linearized model at time unit and as a result a nonlinear time varying system has been controlled properly. As these localized models are open loop unstable, we have to use close loop paradigm also due to its numerically robustness. Finally result has validated with experimental values and reliability of this approach has been exposed.

关键词： MPC, Sequential Linearization, Biological System control, Aerated Flask

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Model Free Predictive control for a Nonlinear Biological System with Intelligent Optimization Approach

Model Free Predictive Control for a Nonlinear Biological Sys...

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第25届中国控制与决策会议

作者： Mojtaba Zaare Mehrjerdi Ghassem Amoabediny Behzad Moshiri Arman Ashktorab Babak Nadjar Araabi Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Research Center for New Technologies in Life Science Engineering University of Tehran Department of Life Science Engineering Faculty of New Technologies University of Tehran Department of Chemical Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467355339

Today the importance of life science and its related processes are undeniable. Modeling and control of these kind of processes are too complicate because of existence of delay in growth and also nonlinear behavior of micro-organisms. Model predictive control is one of the most popular advanced controlling strategies in this industry, however its dependence on accurate model for predicting future input and output values is limitating. If there is a way that could predict the future values of the process properly, it is possible to overcome to the existing challenges. In this paper we design a model free predictive controller by using a trained recurrent neural network as a predictor for prediction stage at MPC and using GA for solving the associated optimization problem that result the optimal control signal sequence.

关键词： NNMPC GA Biological System Aerated Flask

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Study of Multiple Model Predictive control on a pH neutralization plant

Study of Multiple Model Predictive Control on a pH neutraliz...

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Asian control Conference

作者： Ali Shamsaddinlou Alireza Fatehi Ali Khaki Sedigh Mohammad Mahdi Karimi APAC research group Industrial Control Center of Excellence Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran APAC research group Department of Control Engineering Shahid Rajaee Teacher Training University Tehran Iran

ISBN: (纸本)9781467357661

Nonlinear behavior and disturbance sensitivity of the pH processes causes them to be known as an appropriate test bench for advanced controllers. Because of special behavior and varying parameters of pH processes, Multiple Model Predictive controllers (MMPC) outperform other controllers from both regulation and disturbance rejection points of views. Two new supervisory methods based on prediction error and fuzzy weighting for MMPC are presented. Better regulation in special condition and most excellent disturbance rejection in comparison to other MMPC methods are achieved.

关键词： Predictive control Predictive models Adaptation models Switches Computational modeling

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