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Neurofeedback for the treatment of schizophrenia: Case study

Neurofeedback for the treatment of schizophrenia: Case study

2012 10th IEEE International Conference on Virtual Environments, Human-computer Interfaces, and Measurement Systems, VECIMS 2012

作者： Nan, Wenya Chang, Lanshin Rodrigues, Joao Pedro Wan, Feng Mak, Peng Un Mak, Pui-In Vai, Mang I. Rosa, Agostinho Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau China Department of Psychology Faculty of Social Sciences and Humanities University of Macau China Department of Bioengineering LaSEEB-System and Robotics Institute Technical University of Lisbon Portugal

ISBN: (纸本)9781457717574

The paper presents a case report of the therapy by neurofeedback training of a chronic female schizophrenia outpatient. The purpose of the neurofeedback training was to enhance cognition, memory and behavioral performance. We used an intensive approach. All the training sessions were performed during 4 consecutive days. The results showed that the patient learnt to increase individual alpha amplitude and simultaneously decrease beta2 (20-30 Hz) amplitude at P4 site during active state over sessions. The individual alpha increased 74.73% and beta2 decreased 13.73%. The short term memory was enhanced after training. Her mood had positive change and her speech was much clearer than before. She started to associate the meaning of her life and illness. These results support that neurofeedback is not only a feasible therapy for schizophrenia but also positive results could be obtained using a much more intensive training sessions than the one reported in the literature. © 2012 IEEE.

关键词： Neurofeedback Schizophrenia activity state Hercules

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The MORPH Concept and Its Application in Marine Research

The MORPH Concept and Its Application in Marine Research

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Oceans 2013 - Norway

作者： J. Kalwa M. Carreiro-Silva F. Tempera J. Fontes R. S. Santos M. C. Fabri L. Brignone P. Ridao A. Birk T. Glotzbach M. Caccia J. Alves A. Pascoal Atlas Hydrographic GmbH Instituto do Mar (IMAR) Institut francais de recherche pour l'exploitation de la mer Universiat de Girona Jacobs Universitat Bremen Ilmenau University of Technology Faculty of Computer Science and Automation Consiglio Nazionale delle Ricerche - Istituto di studi sui sistemi intelligenti per l'automazion Centre for Maritime Research and Experimentation (CMRE) Institute for Systems and Robotics Instituto Superior Tecnico

ISBN: (纸本)9781479900022

The MORPH project (FP 7, 2012-2016) aims at the development of efficient methods and tools to map the underwater environment in situations that defy existing technology. Namely, missions that involve underwater surveying and marine habitat mapping of rugged terrain and structures with full 3D complexity, including near-vertical cliffs. Potential applications include the study of cold water coral reefs or ecosystems in underwater canyons. For mapping purposes, the project advances the novel concept of an underwater robotic sensor carrier consisting of a number of spatially separated mobile robotic modules, each of them carrying complementary sensors. The modules are connected virtually via wireless communication links. Free from the constraints of rigid links, the modules can reconfigure themselves spatially and position their sensors optimally as a function of the shape of the terrain, which may include walls with a negative slope. In the scope of the project, a final demonstration on a vertical cliff will validate the efficacy of the methods developed.

关键词： Habitat mapping Marine robotics Cooperative control Underwater communication

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Design and realization of hybrid drive with supercapacitor and power flow control

Design and realization of hybrid drive with supercapacitor a...

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International Workshop on Advanced Motion Control (AMC)

作者： Marijan Španer Andreja Rojko Karel Jezernik Faculty of Electrical Engineering and Computer Science Institute of robotics University of Maribor Maribor Slovenia

Hybrid electric vehicles are one of the most effective solutions to improve our environment, one of few such products that are available at the mass-market and also accepted by the customers. With the improved energy storage systems and control algorithms, hybrid vehicles can further gain on the applicability and consequently on the popularity. In this paper, a design and control of the elements of the hybrid vehicle propulsion system, with an emphasis on supercapacitor as the peak energy storage unit, is presented. The propulsion system is dimensioned for light delivery vehicle. In order to simplify design and testing, a laboratory test rig was built rather than using the complete vehicle. Trough simulations and experiments a significant improvement of the properties of energy storage system is confirmed after adding the supercapacitor to the battery. The experiments also confirm the advantages of energy flow management based on the stabilization of the common DC bus voltage.

关键词： Supercapacitors Vehicles Propulsion Batteries Torque Force

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Microstructure, mechanical and tribological properties of the nc-Cr xCy/a-C and nc-CrxCy/a-C:H nanocomposite coatings on oxygen-hardened Ti-6Al-4V alloy

Microstructure, mechanical and tribological properties of th...

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作者： Zimowski, Slawomir Moskalewicz, Tomasz Kot, Marcin Wendler, Bogdan Czyrska-Filemonowicz, Aleksandra AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Al. Mickiewicza 30 Krakow 30-059 Poland AGH University of Science and Technology Faculty of Metals Engineering and Industrial Computer Science Al. Mickiewicza 30 Krakow 30-059 Poland Lodz University of Technology Faculty of Mechanical Engineering ul. Stefanowskiego 1 90 -924 Lódź Poland

The nanocomposite coatings, nc-CrxCy/a-C and nc-CrxCy/a-C:H, consisting of chromium carbide nanocrystals embedded in an amorphous hydrogen free carbon (a-C) matrix or in an amorphous hydrogenated carbon (a-C:H) matrix deposited on oxygen-hardened Ti-6Al-4V alloy by magnetron sputtering were investigated. Oxygen hardening of titanium alloy was performed by oxidation under plasma glow discharge. For both coatings, the phase identification by high-resolution transmission electron microscopy revealed the presence of Cr7C3 and Cr 23C6 nanocrystals of size 2Ã·13 nm embedded in an amorphous carbon a-C and a-C:H matrix. The microhardness values were found to be 9.7 GPa and 12.1 GPa for the nc-CrxCy/a-C and nc-CrxCy/a-C:H coatings, respectively, and 10.6 GPa for oxygen-hardened titanium alloy. Scratch tests indicated good coating-substrate adhesion for both coatings. It was found that the hydrogenated nc-Cr xCy/a-C:H coating exhibited lower coefficient of friction ranging from 0.1 to 0.15 (while sliding 1-mm diameter alumina ball) as compared to friction coefficient of nc-CrxCy/a-C coating which showed higher value, up to 0.2. The coated alloy features much better wear resistance than oxygen-hardened one. Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd.

关键词： Wear resistance

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Investigation on different learning techniques for weighted kernel regression in solving small sample problem

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ICIC Express Letters 2012年第3期6卷 705-710页

作者： Shapiai, Mohd Ibrahim Ibrahim, Zuwairie Sudin, Shahdan Mohamad, Mohd Saberi Khalid, Marzuki Centre of Artificial Intelligent and Robotics Faculty of Electrical Engineering Malaysia Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Skudai 81310 Malaysia

Previously, weighted kernel regression (WKR) for solving small sample problems has been reported. The proposed WKR has been successfully employed to solve rational functions with very few samples. The design and development of WKR is important in order to extend the capability of the technique with various learning techniques. Based on WKR, a simple iteration technique is employed to estimate the weight parameters before WKR can be used in predicting the unseen test samples. In this paper, we investigate two learning techniques in estimating the weight parameters. For this purpose, a Ridge Regression (RR) and a guided search based on Particle Swarm Optimization (PSO) are used to investigate the capability of WKR in solving small sample problems. It is found that RR and PSO are better than iteration technique in terms of computational time and exibility of defining the objective function to estimate weight parameters, respectively, without sacrificing the quality of prediction, as supported by the conducted experiments. © 2012 ICIC International.

关键词： Rational functions

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A Chattering-free Fractional PDα Sliding-mode Control Of A 3-DOF Robot System Driven By DC motors

A Chattering-free Fractional PDα Sliding-mode Control Of A ...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Srecko A.Batalov Mihailo P.Lazarevi Ales Hace Karel Jezernik University of Belgrade Faculty of Mechanical EngineeringBelgrade Serbia University of Belgrade Faculty of Mechanical Engineering Department of MechanicsBelgrade Serbia Institute for Robotics Faculty of electrical engineering and computer scienceUniversity of Maribor Slovenia Institute for Robotics Faculty of electrical engineering and computer science University of Maribor Slovenia

This paper proposes a robust fractional-order sliding mode control of a3-DOF robot system driven by DC ***,a conventional sliding mode controller based on PDα sliding surface is *** simulations have been carried out ... 详细信息

关键词： DOF A Chattering-free Fractional PD Sliding-mode Control Of A 3-DOF Robot System Driven By DC motors

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A pathway-based approach for analyzing microarray data using random forests

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ICIC Express Letters 2012年第5期6卷 1253-1257页

作者： Shi, Chin Hui Mohamad, Mohd Saberi Deris, Safaai Ibrahim, Zuwairie Articial Intelligence and Bioinformatics Research Group Faculty of Computer Science and Information Systems Malaysia Department of Mechatronics and Robotics Center for Articial Intelligence and Robotics Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia

Although machine learning methods, such as random forests, have been developed to correlate survival outcomes with a set of genes, less study has assessed the abilities of these methods in incorporating pathway information for analyzing microarray data. In general, genes that are identified without incorporating biological knowledge are more difficult to interpret. Thus, the pathway-based survival analysis using machine learning methods represents a promising approach for generating new biological hypothesis from microarray studies. The two popular variants of random forests used in this research for survival data are random survival forests and bivariate node-splitting random survival forests. There are three types of datasets used for this research and each dataset with a three-level outcome. This research which compared the four splitting rules available in random survival forests to identify log-rank test is the most accurate in terms of prediction error. To evaluate the accuracy of pathway based survival approach, this research considered employing area under the receiver operating characteristic curve for censored data. The use of random survival forests for survival outcomes in analyzing microarray data allows researchers to obtain results that are more closely tied with the biological mechanism of diseases.

关键词： Genes

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Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm

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ICIC Express Letters 2012年第5期6卷 1335-1339页

作者： Moorthy, Kohbalan Mohamad, Mohd Saberi Deris, Safaai Ibrahim, Zuwairie Artificial Intelligence and Bioinformatics Research Group Faculty of Computer Science and Information Systems 81310 UTM Skudai Johor Malaysia Department of Mechatronics and Robotics Center of Artificial Intelligence and Robotics Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia

Microarray ade4 or known as MADE4 is a multivariate software analysis package for microarray gene expression data. This software package is capable of accepting wide variety of gene expression data formats such as Bioconductor Affy Batch and exprSet. This MADE4 R package extends the advantages of ade4 package in multivariate statistical and graphical functions for the use in the microarray data application. Moreover, MADE4 provides new graphical and visualization tools that assist in the interpretation of multivariate analysis of microarray data. Besides that, LLSimpute algorithm has been incorporated to assist in handling of datasets with missing values and this has eased the application for the users to analysis on gene expression data that contain missing values.

关键词： Autocorrelation

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Aerial Service Robots: An overview of the airobots activity

Aerial Service Robots: An overview of the airobots activity

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2012 2nd International Conference on Applied robotics for the Power Industry, CARPI 2012

作者： Marconi, L. Naldi, R. Torre, A. Nikolic, J. Huerzeler, C. Caprari, G. Zwicker, E. Siciliano, B. Lippiello, V. Carloni, R. Stramigioli, S. CASY-DEIS University of Bologna Italy Alstom Inspection Robotics Switzerland Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Netherlands Eidgenossische Technische Hochschule Zürich Switzerland PRISMA Lab. Università degli Studi di Napoli Federico II Italy

ISBN: (纸本)9781467345873

This video paper outlines some of the results achieved during the first two years of the ongoing European project AIRobots (Innovative Aerial Service Robots for Remote Inspection by Contact, ***). Goal of AIRobots is to develop a new generation of aerial service robots capable of supporting human beings in all those activities that require the ability to interact actively and safely with environments not constrained on ground but, indeed, airborne. The flight tests presented in the video show the capabilities of the prototypes developed in the project to accomplish tasks including 3D environmental reconstruction using stereo vision, obstacle avoidance and remote manipulation by means of an onboard robotic arm. ©2012 IEEE.

关键词： Antennas

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Room classification using a hierarchical representation of space

Room classification using a hierarchical representation of s...

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2012 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Peter Uršič Matej Kristan Danijel Skočaj Aleš Leonardis Vicos Laboratory Faculty of Computer and Information Science University of Ljubljana Slovenia Centre for Computational Neuroscience and Cognitive Robotics University of Birmingham UK

Mobile robots need an effective spatial model for the successful operation in real-world environment. The model should be compact and simultaneously possess large expressive power. Moreover, it should scale well. In this paper we propose a new hierarchical representation of space, whose compositional structure is learned based on statistically significant observations. We have focused on a two dimensional space, since many robots perceive their surroundings in two dimensions with the use of a laser range finder or a sonar. We also propose the use of a low-level image descriptor for addressing the room classification problem, by which we demonstrate the performance of our representation. Using only the lower layers of the hierarchy, we obtain state-of-the-art classification results on demanding datasets.

关键词： Libraries Image edge detection Lasers Algorithm design and analysis Histograms Mobile robots

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