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

The Routledge companion to metaphysics /

London ; | New York : Routledge, 2009 . p. cm. 9780415396318 (hardback : alk. paper) | 9780415493963 (pbk. : alk. paper) | 9780203879306 (ebook)

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Radio physics course; an elementary text book on electricity and radio,

By Ghirardi, Alfred A.. New York city, Radio technical publishing co., 1931 . 2 p.l., ix-xiv p., 1 l., 974 p.

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Momentum : how companies become unstoppable market forces /

By Ricci, Ron.. [S.l.] : Harvard Business Press, 2002 . 224 p. ; , Hardcover. 21 cm.. 157851522X | 9781578515226

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Stochastic Processes and Applications : diffusion processes, the Fokker-Planck and Langevin equations /

By Pavliotis, Grigorios A.,. . xiii, 339 pages : , Textbook for graduates. 25 cm.. 9781493913220 | 1493913220

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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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Numerical Investigation of Hexacopter Downwash Airflow Field at Various Flight Speeds and Heights for Agricultural Spraying Operation. /

By Yawar Abbas, Muhammad . . 64p. ; , Multirotor Unmanned Aerial Vehicles (UAVs) as agricultural spraying drones have now become an integral part of the modern agricultural system. They are being used for spraying on the crops to protect the plants from different types of pests. When spray is distributed on the crops, it flows away from the target because of the wind field being created around the UAV. The downwash effect produced by the UAV significantly influences the spray deposition on crops. The downwash airfield generated by the hexacopter brings droplets to the crops, increasing the droplets’ deposition on the crops. Lattice Boltzmann Method was applied using CFD package XFlow to study the downwash field created by the hexacopter. The primary focus of the research is the downwash airflow field generated by the hexacopter that affects the motion distribution of droplets released from the sprayer at different flight speeds and altitudes. Previous research is limited to downwash effects on a drone with a wheelbase of 1000 mm. In this study, the downwash effect on a hexacopter drone with a spraying capacity of 30L and a wheelbase of 1900 mm is studied. We compared the results of our larger-wheelbase UAV with existing benchmarks. The UAV showed enhanced performance, achieving coverage and penetrable areas approximately double those of the benchmark. Based upon the results, the optimum flight height and flight velocity for spraying operation are 3 m and 4 ms-1 respectively under the condition of coverage and penetrable area. 30cm..

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