Some Current Advanced Researches on Information and Computer - download pdf or read online

By Quang A. Dang, Xuan Hoai Nguyen, Hoai Bac Le, Viet Ha Nguyen, Vo Nguyen Quoc Bao

ISBN-10: 3319146327

ISBN-13: 9783319146324

ISBN-10: 3319146335

ISBN-13: 9783319146331

This ebook contains the prolonged and revised models of a suite of chosen papers from the 1st NAFOSTED convention on details and desktop technological know-how (NICS’2014), held at Le Quy Don Technical Academy, Hanoi, Vietnam from 13/Mar./2014 to 14/Mar./2014. The convention was once co-organized via The nationwide starting place for technology and expertise improvement (NAFOSTED) and Le Quy Don Technical Academy.

The objective of the NICS convention sequence is to advertise clinical guides within the kingdom and to supply a platform for top of the range educational trade between scientists within the fields of laptop technological know-how, info and communique. The convention contains 5 tracks, specifically “Computer Science”, “Artificial Intelligence”, “Network Systems”, “Software Engineering”, and “Information Systems”. The papers during this publication are one of the best contributions at NICS’2014 taken under consideration the standard in their presentation on the convention and the advice of the 2 specialists within the additional around of self reliant evaluation.

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Additional info for Some Current Advanced Researches on Information and Computer Science in Vietnam: Post-proceedings of The First NAFOSTED Conference on Information and Computer Science

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N. A. Dang et al. N. Thang a, b ∈ R2 , the notation a ≥ b means a −b ∈ R2+ = {y = (y1 , y2 )T |y1 ≥ 0, y2 ≥ 0}. Let X E denote the set of all efficient solutions for Problem (VP). Since X is a compact set, the efficient set X E is not empty [31]. t. x ∈ X E , (P) where h(x) is a real function. It is well known that X E is, in general, a non-convex set, even in the special case when X is a polyhedron and f 1 , f 2 are linear on Rn [19]. Hence, Problem (P) can be classified as a hard global optimization problem [28].

A) (b) (c) 50 250 100 150 300 200 250 350 300 350 400 400 450 100 200 300 400 500 600 50 100 150 200 250 300 Fig. 2 An example of noise data captured by depth sensor Kinect. a RGB image for reference. b The corresponding depth image. c Zoom-in a region around chest board. -T. Nguyen et al. Fig. 3 Analysis of stability of noise in a duration T = 5 s. a The signal s at pixel at position (251, 182) is examined. b The corresponding signal s along T is plotted in red; the filtered signal s f is plotted in blue.

T. x ∈ X E , (P) where h(x) is a real function. It is well known that X E is, in general, a non-convex set, even in the special case when X is a polyhedron and f 1 , f 2 are linear on Rn [19]. Hence, Problem (P) can be classified as a hard global optimization problem [28]. In recent years, encouraged in part by rapid advances in high-speed computing, many algorithms have been proposed for globally solving this problem (cf. [1–4, 7–10, 12, 14, 15, 18, 21, 23, 27, 28, 30] and references therein).

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Some Current Advanced Researches on Information and Computer Science in Vietnam: Post-proceedings of The First NAFOSTED Conference on Information and Computer Science by Quang A. Dang, Xuan Hoai Nguyen, Hoai Bac Le, Viet Ha Nguyen, Vo Nguyen Quoc Bao


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