KOSIM - Computer Aided Simulation of Mechanisms / Part Ⅰ

机译：KOSIM-机构的计算机辅助仿真/第一部分

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Kinematic analysis and structure synthesis of linkages plays a foundamental role in the design of mechanisms. This paper demonstrates the computer software KOSIM as an important tool to solve problems in the field of planar mechanisms very quickly. KOSIM is arranged according to the design process in industry.

机译：连杆机构的运动学分析和结构综合在机构设计中起着基础性的作用。本文演示了计算机软件KOSIM，它是非常快速地解决平面机构领域问题的重要工具。 KOSIM是根据行业中的设计过程安排的。

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来源
《The 11th World Congress in Mechanism and Machine Science v.1》|2004年|P.124-128|共5页
会议地点 Tianjin,CN
作者
Kurt Luck; Willi Rehwald;
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作者单位

Lukasplatz 9 D-01069 Dresden Germany;

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原文格式 PDF
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关键词
elementary group (EG); linkage; mechanism; massgeometry; generalized mass; force-geometry; generalized force; mechanical work; kinetics; kinematics;

机译：初级组（EG）；连锁;机制;整体几何广义质量力几何广义力机械功；动力学;运动学;

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7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

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KOSIM - Computer Aided Simulation of Mechanisms / Part Ⅰ

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