Advances in Computer Science and Ubiquitous Computing: by James J. (Jong Hyuk) Park, Yi Pan, Gangman Yi, Vincenzo Loia

By James J. (Jong Hyuk) Park, Yi Pan, Gangman Yi, Vincenzo Loia

This ebook provides the mixed complaints of the eighth overseas convention on machine technology and its functions (CSA-16) and the 11st overseas convention on Ubiquitous info applied sciences and purposes (CUTE 2016), either held in Bangkok, Thailand, December 19 - 21, 2016.

The goal of those conferences used to be to advertise dialogue and interplay between lecturers, researchers and pros within the box of ubiquitous computing applied sciences.

These complaints replicate the state of the art within the improvement of computational tools, regarding thought, set of rules, numerical simulation, blunders and uncertainty research and novel software of recent processing concepts in engineering, technology, and different disciplines on the topic of ubiquitous computing.

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17(3), 433–450 (2013) 7. : A life log collecting system supported by smartphone to model higher-level human behaviors. In: 6th International Conference on Complex, Intelligent and Software Intensive Systems, pp. 665–670. IEEE, Palermo (2012) 8. : Latent class analysis on internet and smartphone addiction in college students. Neuropsychiatric Dis. Treat. 10, 817–828 (2014) 9. : Authentication of a smart phone user using audio frequency analysis. J. Korea Inst. Inf. Secur. Cryptology 22(2), 327–336 (2012) 10.

1005 Seul-Ah Shin, Nam-Yong Lee and Jin-Ho Park Detection of Optimal Activity Recognition Algorithm for Elderly Using Smartphone . . . . . . . . . . . . . . . . . . . . . . 1013 Changwon Wang, Sangjoon Lee, Jonggab Ho, Yeji Na and Se Dong Min Method of Detecting Malware Through Analysis of Opcodes Frequency with Machine Learning Technique . . . . . . . . . . . 1019 Sang-Uk Woo, Dong-Hee Kim and Tai-Myoung Chung Study of Big Data Analysis Procedures .

1103 Kyu Ik Kim, Musa Ibrahim M. Ishag, Myungsic Kim, Jin Suk Kim and Keun Ho Ryu Author Index . . . . . . . . . . . . . . . . . . . . . . . . th Abstract. This proposed research proposes the design and development of a robotic arm for rehabilitation and training. This wearable robot arm can easily be used with either the user’s left or right arm. Each joint of exoskeleton motion can be rotated from −90° to 90° which cover all motions of human arm. The virtual reality technique is used to provide the 3D graphics to motivate the patient during the rehabilitation.

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