NUST Institutions Library Catalogue Search for 'kw,wrdl: (su-br:"Soft skills.")'

Digital signal processing system-level design using LabVIEW

By Kehtarnavaz, Nasser.. Oxford : Newnes, 2005 . xii, 290 p. : 24 cm. +. 075067914X

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Introduction to game design, prototyping, and development : from concept to playable game-with Unity® and C# /

By Gibson, Jeremy,. . xxxi, 908 pages : 23 cm. 9780321933164 (paperback) | 0321933168 (paperback)

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The connectors (E-BOOK) how the world's most successful businesspeople build relationships and win clients for life /

By Kuzmeski, Maribeth.. Hoboken, N.J. : Wiley, 2009 . xiv, 258 p. ; 24 cm.. 0470488182 (cloth) | 9780470488188 (cloth) | 9781118156285 (pbk.

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The connectors :(E-BooK) how the world's most successful businesspeople build relationships and win clients for life /

By Kuzmeski, Maribeth.. Hoboken, N.J. : Wiley, 2009 . xiv, 258 p. ; 24 cm.. 0470488182 (cloth) | 9780470488188 (cloth) | 9781118156285 (pbk.

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How NASA Builds Teams E-Book Mission Critical Soft Skills for Scientists, Engineers, and Project Teams.

By Pellerin, Charles J.. Hoboken : John Wiley & Sons, Inc., 2009 . 1 online resource (288 p.) , Description based upon print version of record. 9780470502938

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Statistics, a tool for social research /

By Healey, Joseph F.. [S.l.] : Wadsworth Publishing Company, 1990 . 431 p. ; , Hardcover. 24 cm.. 053412450X | 9780534124502

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Quantitative decision making with spreadsheet applications /

By Lapin, Lawrence.. [S.l.] : South-Western College Pub, 2001 . 752 p. ; 26 cm.. 0534380247 (hardcover) | 9780534380243 (hardcover)

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Sketchup 7.1 for architectural visualization : beginner's guide /

By Jongh, Robin de.. Birmingham : Packt Publishing, 2010 . 408 p. ; 24 cm.. 1847199461 (paperback) | 9781847199461 (paperback)

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Energy systems : a new approach to engineering thermodynamics /

By Gicquel, Renaud.. Boca Raton : CRC Press, 2011 . xlix, 1012 p. : 30 cm.. 9780415685009

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Decoding of Hand Motion Using State of Art Time Domain, Frequency Domain And Feature Extraction /

By Munawar, Sulaiman . . 69p. , Exoskeletons that are activated by the muscles and brain have been suggested to train the motor skills of stroke victims. Training can incorporate task variety since an exoskeleton allows for the execution of various movement types.Differentiating between movement types at the same time from brain activity is challenging, but it might be accessible from residual muscular activity that many patients retain regain.This study examines whether forearm EMG from five stroke patients can be used to decode seven distinct motion classes of the hand and forearm. This study evaluates classifiers like Support vector machine (SVM), Lineardiscriminant analysis (LDA) and K nearest neighbor (KNN). It investigated the relation of motor impairment with classification accuracy by the classifiers. During the following motion classes: Supination, Pronation, Hand Close, Hand Open, Wrist Extension, Wrist Flexion, and Pich, five surface EMG channels were recorded.Every motion was performed by patients three times repetition over the course of eight weeks.Support vector machines, k nearest neighbor, and linear discriminant analysis were used to classify decoding of hand moments for stroke patients. On average,73.69 ± 6.39%SVM,71.6 ± 5.09% KNNand 50±4.56 LDA of the movements were correctly classified.Seven motion classes were demonstrated to be decoded from residual EMG, and SVM proved to be the most effective classification method when compared to the other three classifiers for decoding of hand motion for stroke patients.The results of this study may have implications for the development of exoskeletons, suits, or gadgets, that are powered by EMG signals. These devices might be utilized in the comfort of the patient's home to assist stroke sufferers with their training activities. Therefore, the findings of this study may assist in improving the effectiveness and accessibility of these useful tools for stroke survivors. 30cm.

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Multi-Robot Interactive Therapy for Children with Autism Spectrum Disorder /

By Ali ,Sara . . 139p. , Robot-Assisted Therapies (RAT) is an emerging field and has shown promising results. Recently, one of the prominent applications of robots is assistive therapy is for Autism Spectrum Disorder (ASD). Autism Spectrum Disorder is a set of neurodevelopment disorder affecting 7.5 million people around the world. Children with ASD lack social and communication skills which affects their ability in schools as well as in community. Recently, humanoid robots are used for the treatment of children with autism spectrum disorder to improve the development of communicational, behavioral, motor movements, joint attention, and physical behaviors. These interactive interventions that use robots for children with ASD, is one of the favorable tools for improving the behavior of children. In particular, the area of robotics is helping a lot in the treatment of ASD as the robot acts as a mediator as well as measures the response of an autistic child. However, the research aiming that the treatment of children with autism is limited, these therapies introduced by robots are successful in establishing basic communication skills. This research has proposed a novel mathematical model for an adaptive therapy of children with Autism Spectrum Disorder called Multi-robot-mediated Intervention System (MRIS). Three different therapies related to improvement in joint attention and imitation skills, effective human-human interaction and comparison of effective stimulus are introduced under this mathematical model. This research aims to introduce multi-sensory data that provides the quantitative support for improvement in social skills of children with autism, replacing the current techniques of measuring the improvement from physically observing the ASD child and with video analysis. Besides ensuring the accuracy in results, this method also introduces consistency as robots are immune to fatigue, unlike humans. The effectiveness of the model has been validated using cognitive brain state of the children with Electroencephalogram (EEG) neuroheadsets. Moreover, the effectiveness of the results has been validated using statistical analysis and the Childhood Autism Rating Scale (CARS). 30cm.

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Essential surgical practice : higher surgical training in general surgery /

London ; | New York : Arnold, 2015 . xii, 1064 pages : 29 cm.. 9781444137620

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