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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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Humanoid robot as an evaluator of assistive devices

Humanoid robot as an evaluator of assistive devices

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IEEE International Conference on robotics and Automation (ICRA)

作者： Kanako Miura Eiichi Yoshida Yoshiyuki Kobayashi Yui Endo Fumio Kanehioro Keiko Homma Isamu Kajitani Yoshio Matsumoto Takayuki Tanaka CNRS-AIST JRL (Joint Robotics Laboratory) Intelligent Systems Research Institute National Institute of Advanced Industrial Science and Technology Japan Digital Human Research Center DHRC-AIST AIST Japan IS-AIST Japan Hokkaido University Japan

This paper presents a basic study on feasibility of usage of humanoid robots as an evaluator of assistive devices, by taking advantage of its anthropomorphic shape. In this new application humanoid are expected to help evaluation through quantitative measures, which is difficult with human subjects, and also to reduce the burden coming from ethical concerns with costly tests by human subjects. Taking a passive supportive wear “Smart Suit Lite” designed to relieve the load at lower back as an example, we have conducted pilot experiments by using the humanoid robot HRP-4C. The motion to be performed by the humanoid is obtained through retargeting technique from measured human lifting motion. The supportive effect is first estimated by simulation taking into account the mechanism of the supportive device. The experimentation of humanoid hardware brought us encouraging results on the basic feasibility of this application, as we observed a clear decrease of the torque for lifting when wearing the device as expected by the simulation.

关键词： Joints Torque Assistive devices Hip Humanoid robots Torso

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Finding Objects with Segmentation Strategy based Multi Robot Exploration in Unknown Environment

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Procedia - Social and Behavioral Sciences 2013年 97卷 580-586页

作者： Reza Arezoumand Syamsiah Mashohor Mohammad Hamiruce Marhaban Intelligent System and Robotics Laboratory Institute of Advanced Technology Universiti Putra Malaysia 43400 Serdang Selangor Malaysia Department of Computer & Communication Systems Faculty of Engineering Universiti Putra Malaysia 43400 Serdang Selangor Malaysia Department of Electrical and Electronic Engineering University Putra Malaysia 43400 Serdang Selangor Malaysia

In this paper we address exploration algorithm in flat experimental environment with colored objects for multi robots system. The aim of exploration in unknown environment is finding target points like mine detection in outdoor environment without any positioning device. Two algorithms were investigated in this paper one is frontier based random search algorithm and the second is efficient algorithm based on segmentation strategy. To improve efficiency, each robot had to go to different regions to avoid cumulating robots in one region. Constructed maps for all four regions could be shared and navigation could be done more effectively. For constructing map robot can use on built range finder sensor or using vision based systems. Also the algorithm using segmentation strategy is using frontier base algorithm for exploring divided area. Both algorithm implemented and analyzed in Player/Stage simulation. The result was compared and showed the efficiency of the designed algorithm based segmentation strategy. In simulation this algorithm is tested with different number of robots to achieve better view of efficiency for proposed algorithm in different type of environment like harsh environment as possibility of losing some robots.

关键词： Multi-robot exploration Flocking Exploration ratio Trajectory prediction

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GPS/INS integration based on dynamic ANFIS network

International Journal of Control and Automation

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International Journal of Control and Automation 2012年第3期5卷 1-22页

作者： Hasan, Ahmed Mudheher Samsudin, Khairulmizam Ramli, Abdul Rahman Computer Systems Research Group Department of Computer and Communication Systems Universiti Putra Malaysia 43400 UPM-Serdang Malaysia Intelligent Systems and Robotics Laboratory Institute of Advanced Technology Universiti Putra Malaysia 43400 UPM-Serdang Malaysia

This article presents a new structure for solving global positioning system (GPS) outages for long periods without requiring any prior information about the characteristics of the inertial navigation system (INS) and GPS. Kalman filter (KF) is widely used in INS and GPS integration to present a forceful navigation solution by overcoming the GPS outage problems. However, KF is usually criticized for working under predefined models and for its observability problem of hidden state variables, sensor dependency, and linearization dependency. Therefore, this article proposes a dynamic adaptive neuro-fuzzy inference system (DANFIS) to predict the INS error during GPS outages based on the current and previous raw INS data. The proposed integrated system is evaluated using a real field test data. The performance of the proposed technique is also compared with the traditional artificial intelligence (AI) technique and KF. The results showed great improvements in positioning and especially in velocity for MEMS grade IMU and for different length of GPS outages.

关键词： Inertial navigation systems

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欠驱动三连杆机器人的混杂控制方法

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中国科学：信息科学 2013年第2期43卷 287-302页

作者：赖旭芝张镇吴敏潘昌忠中南大学信息科学与工程学院长沙410083 先进控制与智能自动化湖南省工程实验室长沙410083 Advanced Robotics and Intelligent Systems(ARIS) Laboratory School of EngineeringUniversity of Guelph

针对第二关节为被动关节的欠驱动三连杆机器人,提出一种混杂控制方法.欠驱动三连杆机器人的运动空间分为3个阶段:退化阶段、摇起阶段和平衡阶段.首先,在退化阶段,对第三关节构造Lyapunov函数,并针对此函数设计控制律使其连杆相对于前一... 详细信息

针对第二关节为被动关节的欠驱动三连杆机器人,提出一种混杂控制方法.欠驱动三连杆机器人的运动空间分为3个阶段:退化阶段、摇起阶段和平衡阶段.首先,在退化阶段,对第三关节构造Lyapunov函数,并针对此函数设计控制律使其连杆相对于前一连杆自然伸展,使系统退化为类Pendubot机器人;同时基于能量不断增加的思想设计第一关节控制律,以节省后阶段的能量控制时间.其次,在摇起阶段,保持第三关节控制律形式不变;通过仅控制系统能量和同时控制系统能量、角速度两种方法设计第一关节控制律,使系统进入平衡区.最后,对退化后的系统采用线性控制将其稳定在竖直向上不稳定平衡点上.数值仿真结果表明文中所提方法具有控制时间短,所需力矩小等优点.

关键词：欠驱动机械系统机器人混杂控制 Lyapunov函数退化控制能量控制

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Guest Editorial: intelligent Information Technology in Agriculture

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intelligent Automation & Soft Computing 2013年第3期19卷 227-229页

作者： Dong Ren[a] Chunjiang Zhao[b] & Simon X. Yang[c] [a] College of Computer and Information Technology China Three Gorges University Yichang 443002 P.R. China [b] Beijing Research Center for Information Technology in Agriculture Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 P.R. China [c] Advanced Robotics and Intelligent Systems (ARIS) Laboratory School of Engineering University of Guelph Guelph Ontario N1G 2W1 Canada

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A coding style-based plagiarism detection

A coding style-based plagiarism detection

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International Conference on Interactive Mobile and Computer Aided Learning (IMCL)

作者： S. Arabyarmohamady H. Moradi M. Asadpour Advanced Robotics and Intelligent Systems Laboratory & Control and Intelligent Processing Center University of Tehran

In this paper a plagiarism detection framework is proposed based on coding style. Furthermore, the typical style-based approach is improved to better detect plagiarism in programming codes. The plagiarism detection is performed in two phases: in the first phase the main features representing a coding style are extracted. In the second phase the extracted features are used in three different modules to detect the plagiarized codes and to determine the giver and takers of the codes. The extracted features for each code developer are kept in a history log, i.e. a user profile as his/her style of coding, and would be used to determine the change in coding style. The user profile allows the system to detect if a code is truly developed by the claimed developer or it is written by another person, having another style. Furthermore, the user profile allows determining the code giver and code taker when two codes are similar by comparing the codes' styles with the style of the programmers. Also if a code is copied from the internet or developed by a third party, then the style of who claims the ownership of the code is normally less proficient in coding than the third party and can be detected. The difference between the style levels is done through the style level checker module in the proposed framework. The proposed framework has been implemented and tested and the results are compared to Moss which shows comparable performance in detecting plagiarized codes.

关键词： Plagiarism Feature extraction Encoding Vectors Watermarking Internet Conferences

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Mobile robots communication and control framework for USARSim

Mobile robots communication and control framework for USARSi...

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International Conference on intelligent and advanced systems, ICIAS

作者： Saeid Mokaram Khairulmizam Samsudin Abdul Rahman Ramli Hamideh Kerdegari Computer Systems Laboratory Department of Computer and Communication Systems Universiti Putra Malaysia Serdang Malaysia Intelligent Systems and Robotics Laboratory Institute of Advanced Technology Universiti Putra Malaysia Serdang Malaysia

In recent years there have been intensive efforts in robotics researches from the earliest stages of education. Subject of this paper is a powerful mobile robot communication and control framework for USARSim simulator that can be used both for research and education. Mobile Robots Communication and Control Framework (MCCF) is developed in order to offer faster and easier communication process with the USARSim server within Matlab that differentiates it from most existing basic open source control interfaces. Most notably, it takes the advantages of easy integration with other analysis and control methods that have been provided in Matlab tool-boxes. MCCF enables communication and control of a wide range of robots platforms including but not limited to wheeled-robots, legged-robots, submarine robots and aerial robots. In this paper we describe its general architecture, features and examples of utilization for researchers who are interested in mobile robot simulations for education and research.

关键词： Robot sensing systems MATLAB Mobile robots Servers Java

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Evaluation of fall detection classification approaches

Evaluation of fall detection classification approaches

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International Conference on intelligent and advanced systems, ICIAS

作者： Hamideh Kerdegari Khairulmizam Samsudin Abdul Rahman Ramli Saeid Mokaram Computer Systems Laboratory Department of Computer and Communication Systems Universiti Putra Malaysia Serdang Malaysia Intelligent Systems and Robotics Laboratory Institute of Advanced Technology Universiti Putra Malaysia Serdang Malaysia

As we grow old, our desire for being independence does not decrease while our health needs to be monitored more frequently. Accidents such as falling can be a serious problem for the elderly. An accurate automatic fall detection system can help elderly people be safe in every situation. In this paper a waist worn fall detection system has been proposed. A tri-axial accelerometer (ADXL345) was used to capture the movement signals of human body and detect events such as walking and falling to a reasonable degree of accuracy. A set of laboratory-based falls and activities of daily living (ADL) were performed by healthy volunteers with different physical characteristics. This paper presents the comparison of different machine learning classification algorithms using Waikato Environment for Knowledge Analysis (WEKA) platform for classifying falling patterns from ADL patterns. The aim of this paper is to investigate the performance of different classification algorithms for a set of recorded acceleration data. The algorithms are Multilayer Perceptron, Naive Bayes, Decision tree, Support Vector Machine, ZeroR and OneR. The acceleration data with a total data of 6962 instances and 29 attributes were used to evaluate the performance of the different classification algorithm. Results show that the Multilayer Perceptron algorithm is the best option among other mentioned algorithms, due to its high accuracy in fall detection.

关键词： Acceleration Feature extraction Accuracy Support vector machines Senior citizens Accelerometers Classification algorithms

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A Special Issue of intelligent Automation and Soft Computing GUEST EDITORIAL 3S AND PRECISION FARMING FOR AGRICULTURE

A Special Issue of Intelligent Automation and Soft Computing...

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World Automation Congress 2012

作者： DAOLIANG LI SIMON X.YANG EU-China Centre for Information and Communication Technologies China Agricultural University Advanced Robotics and Intelligent Systems Laboratory School of Engineering University of Guelph

The global must pay more attention on agriculture to support the huge population on the earth and to promote sustainable *** the development of computing and information technologies such as 3S(GIS,RS and GPS;Geographic Information System,Remote Sensing,and Global Positioning System),computer,mathematics,communication,and their application in

关键词： GPS Automation A Special Issue of intelligent Automation and Soft Computing GUEST EDITORIAL 3S AND PRECISION FARMING FOR AGRICULTURE

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