• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.151-154
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• 1999

In this paper, we showed parasitic effects in the millimeter wave package, and proposed a suppression method of parasitic effects using Si lossy layer. From CB-CPW used as a transmission line of the MIMIC package, PPL mode is generated and this causes the parasitic effects considered from this paper. Parasitic effects caused by PPL mode such as resonance, radiation, and crosstalk in the single and multi-chip package ran affect to the performance of MIMIC seriously. To suppress these parasitic effects, we adapted Si lossy layer $\rho$ . The PPL mode can be suppressed by the lossy layer, and it eliminates the parasitic effects. It is expected that showed results ran be used as luxurious data for design MIMICs and various types of millimeter wave applications.

• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.404-405
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• 2012

The research of the biological mimics robot which utilizes the operation of the organism and which it applies to the robot is progressed on the ground, aerial, and underwater robot sector. In the field of flying robot, the research for implementing the wing movement structure of the bird and insect is progressed. The joint structure for the wing movement of the bird is implemented. The operation of the wing is simulated. For this purpose, by using the Matlab/Simulink, the joint structure of the wing is modelled. The joint movement of the wing is tested through the simulation.

• Proceedings of the IEEK Conference
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• 2002.06c
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• pp.199-202
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• 2002

We described a real-time 3D computer vision system called MIMIC(Motion interface f Motion information Capture system) that can capture and save motion of an actor. This system analyzes input images from vision sensors and searches feature information like a head, hands, and feet. Moreover, this estimates intermediated joints as an elbow and hee using feature information and makes 3D human model having 20 joints. This virtual human model mimics the motion of an actor in real-time. Therefore this system can realize the movement of an actor unaffectedly because of making intermediated joint for complete human body contrary to other marker-free motion capture system.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.2
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• pp.320-326
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• 2008

In this paper, we propose a new algorithm emulating the DNA characteristics for noise-tolerant pattern matching problem on digital system. The digital pattern matching becomes core technology in various fields, such as, robot vision, remote sensing, character recognition, and medical diagnosis in particular. As the properties of natural DNA strands allow hybridization with a certain portion of incompatible base pairs, DNA-inspired data structure and computation technique can be adopted to bio-signal pattern classification problems which often contain imprecise data patterns. The key feature of noise-tolerance of DNA computing comes from control of reaction temperature. Our hardware system mimics such property to diagnose cardiovascular disease and results superior classification performance over existing supervised learning pattern matching algorithms. The hardware design employing parallel architecture is also very efficient in time and area.

• The Journal of Pediatrics of Korean Medicine
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• v.13 no.2
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• pp.225-235
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• 1999

MELAS is the condition associated with mutant mtDNA that most closely mimics thrombotic cerebrovascular disease. Characteristic abnormalities are two. first, 'ragged-red fibers' in muscle biopsy. second, point mutation in the mitochondrial DNA analyses. The characteristic clinical presentations of MELAS are short stature, recurrent stroke like episodes, migraine-like headache, sensorineural hearng loss, glucose intolerance and neuropathy. We now report a case of MELAS syndrome having mitochondrial DNA mutation with an A to G transition at the 3,243rd position diagnosed in Chung-ang Hospital.

• The Korean Journal of Applied Statistics
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• v.25 no.5
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• pp.847-857
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• 2012

This article is concerned with choice-based conjoint analysis versus rating-based and ranking-based conjoint analysis. Choice-based conjoint analysis has a definite advantage in that the respondent's task of choosing the most preferred profile from several competing profiles adequately mimics consumer marketplace behavior. It is crucial to design the choice sets appropriate for the choice-based conjoint. Thus, this article suggests a new method to design the choice sets that are well-balanced. It augments the balanced incomplete block design and then obtains the dual design of the result to accommodate various numbers of profiles. In consequence, the choice sets designed by the new method have the desirable characteristics that each profile is presented to the same number of respondents, and pairs of any two distinct profiles occur together in the same number of choice sets. The balancing of the design increases the efficiency of the conjoint analysis. In addition, the pair-comparison scheme can improve the quality of data through the identification of contradictory responses.

• Biomaterials and Biomechanics in Bioengineering
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• v.5 no.1
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• pp.25-35
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• 2020

We carry the knowledge that the skeleton bones of the human body are not always without defects and some various defects could occur in them. In the present paper, as the first endeavor, free vibration and buckling analysis of femur bones with femoral defects are investigated. A major strength of this study is the modeling of defects in femur bones. Materialise Mimics software is adopted to model the bone geometry and the SOLIDWORKS software is used to generate the defects in bones. Next, the ABAQUS software is employed to study the behaviors of bones with defects.

• Journal of The Korean Astronomical Society
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• v.34 no.4
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• pp.321-323
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• 2001

Compressible, magnetohydrodynamic (MHD) turbulence in two dimension is studied through high-resolution, numerical simulations with the isothermal equation of state. First, hydrodynamic turbulence with Mach number $(M)_{rms}\;\~$1 is generated by enforcing a random force. Next, initial, uniform magnetic field of various strengths with Alfvenic Mach number Ma $\gg$ 1 is added. Then, the simulations are followed until MHD turbulence is fully developed. Such turbulence is expected to exist in a variety of astrophysical environments including clusters of galaxies. Although no dissipation is included explicitly in our simulations, truncation errors produce dissipation which induces numerical resistivity. It mimics a hyper-resistivity in our second-order accurate code. After saturation, the resulting flows are categorized as SF (strong field), WF (weak field), and VWF (very weak field) classes respectively, depending on the average magnetic field strength described with Alfvenic Mach number, $(Ma)_{rms}{\ge}1$, $(Ma)_{rms}{\~}1$, and $(Ma)_{rms}{\gg}1$. The characteristics of each class are discussed.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.50 no.6
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• pp.283-294
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• 2001

In this paper, a masterarm for teleoperation of humanoid robot is presented. This masterarm is based human kinematics, which not only mimics human posture/motion completely, but also has wider work range. In addition, by using the distributed controller architecture and electric brake for force reflection, small size and lightweight of the device can be achieved. Some size and lightweight of the device can be achieved. Some important experiments integrated with the humanoid robot, CENTAUR developed by KIST(Korea Institute of Science and Technology), are conducted to evaluate the performance of the proposed masterarm.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2228-2230
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• 2002

The research presented in this paper focuses on a method for the detection of High Impedance Fault(HIF). The method will use the Lifting and neural network system. HIF on the multi-grounded three-phase four-wires primary distribution power system cannot be detected effectively by existing over current sensing devices. These paper describes the application of lifting scheme to the various HIF data. These data were measured in actual 22.9kV distribution system. Wavelet transform analysis gives the frequency and time-scale information. The neural network system as a fault detector was trained to discriminate HIF from the normal status by a gradient descent method. The proposed method performed very well by proving the right state when it was applied staged fault data and normal load mimics HIF, such as arc-welder.