• Korean Journal of Optics and Photonics
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• v.11 no.2
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• pp.80-84
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• 2000

Parabolic almninium mlITOr of m.5('||'&'||'cent; 50 nun) was fabncated by a diamond tummg machine. Computer generated hologram (CGH) for the test of parabolic mirror was encoded by binary phase hologram Approximation of curved fringe to line was made by staircase encoding. After fringe data 1ransformed mto a Post Scnpt file. magnified master CGH was printed by a laser printer, and then it reduced to the photographIc film. Parabolic mirror was tested by Twyman-Green interferometer with CGH at VIewing arm. Its experimental result was compared with those of surface profile and auto-collimatIon test, and then the errors were analyzed.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.2
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• pp.154-161
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• 1995

In order to analysis of the stress distribution around flaws and the interaction effects between fatigue cracks, stress around micro hole was analyzed by Finite Element Method(F.E.M.) and micro hole specimens were tested using rotary bending fatigue machine and twisting fatigue machine to identify stress effects for fatigue cracks initiating from micro holes and interaction effects between micro holes. The results are as follows : Interaction effects of .sigma. $_{y}$for the micro hole side is larger than the large micro hole side when the interval between micro holes is near. Stress concentration factor increase as the diameter of micro hole becomes smaller. But, stress field of micro hole is smaller than that of large micro hole at h .leq. r (h:depth of micro hole, r:radius of micro hole) and that of large hole is larger than that of small micro hole at h >r expect the small range from micro hole.e.

• The Journal of Korean Medicine
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• v.41 no.2
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• pp.58-79
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• 2020

Objectives: The purpose of this study is to predict the weight loss by applying machine learning using real-world clinical data from overweight and obese adults on weight loss program in 4 Korean Medicine obesity clinics. Methods: From January, 2017 to May, 2019, we collected data from overweight and obese adults (BMI≥23 kg/m2) who registered for a 3-month Gamitaeeumjowi-tang prescription program. Predictive analysis was conducted at the time of three prescriptions, and the expected reduced rate and reduced weight at the next order of prescription were predicted as binary classification (classification benchmark: highest quartile, median, lowest quartile). For the median, further analysis was conducted after using the variable selection method. The data set for each analysis was 25,988 in the first, 6,304 in the second, and 833 in the third. 5-fold cross validation was used to prevent overfitting. Results: Prediction accuracy was increased from 1^st to 2^nd and 3^rd analysis. After selecting the variables based on the median, artificial neural network showed the highest accuracy in 1^st (54.69%), 2^nd (73.52%), and 3^rd (81.88%) prediction analysis based on reduced rate. The prediction performance was additionally confirmed through AUC, Random Forest showed the highest in 1^st (0.640), 2^nd (0.816), and 3^rd (0.939) prediction analysis based on reduced weight. Conclusions: The prediction of weight loss by applying machine learning showed that the accuracy was improved by using the initial weight loss information. There is a possibility that it can be used to screen patients who need intensive intervention when expected weight loss is low.

• Publications of The Korean Astronomical Society
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• v.27 no.4
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• pp.223-224
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• 2012

Understanding the birth and evolution of galaxies, and the history of star formation in them, is one of the most important problems in astronomy. Using the data from the AKARI IRC survey of the Large Magellanic Cloud at 3.2, 7, 11, 15, and $24{\mu}m$, we have constructed a multi-wavelength catalog containing data from the cross-correlation with a number of other databases at different wavelengths. We present the first approach with a Support Vector Machine (SVM)-based method to separate different classes of stars in LMC in the color-color and color-magnitude diagrams.

• Journal of the Korean Society for Precision Engineering
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• v.4 no.4
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• pp.13-21
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• 1987

4-4 품질관리 품질관리에는 세가지의 중요한 스텝이 있다. 첫째는 소요자재의 관리, 두째는 공장에서 조립할때의 관리, 세째는 출고관리이다. 특수 파괴설계방법론을 이 모든 과정들에 적용시켜야 할 것이다. 4-4-1 수입자재의 품질 자재들을 매입 혹은 수입할 경우에 검사하여야 할 여러가지 가 있다. 1 재료를 매입할 때 성질들이 얼마나 균일한가\ulcorner 2 최소 인성치는 얼마로 보증되어 있는가\ulcorner 3 재료들을 선별하여 거절하느나, 수락하느냐를 결정하기 위하여 어떠한 비파괴 검사법을 사용하느나\ulcorner 수입재료들에 대해서 파괴측정 시험을 해보면 실험방법이나 재료종류들에 관련되어서 실험데이타들에 전형적인 산포현상이 나타나게 마련이다. 예를들어보면 항복응력이 1400Mpa인 퀘칭하여 켐퍼링한 강의 공칭 파괴인성치는 $_{4}$는 90Mpa .root. m 일 수도 있고 60Mpa .root. m일 수도 있다. 아래 그림에 이 현상을 예시하였다. 파괴문제가 중요시 되는 부품에 대해서는 특수하게 파괴인성치를 규정하여 재료를 구입하여야 한다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.2 no.1
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• pp.63-68
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• 2003

The aspherical lenses are used as objective lens of optical pickup. To examine the design factor the sample product is made before manufacturing of injection mould of lens. The optimum cutting condition of PMMA lens sample with ultra precision SPDT, the roam spindle speed, the depth of cut, the feedrate are found. The demanded surface roughness 100m Ra, aspherical form error $0.5{\mu}m$ P-V for aspherical lens of optical data storage device are satisfied.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.371-376
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• 1997

A 100*100.mu.m$^{2}$ aluminum micro mirror is designed and fabricated using a thick photoresist as a sacrificial layer andas a mold for nickel electroplating. The micro mirror is composed of aluminum mirror plate, two nickel support posts, two aluminum hinges, two address eletrodes, and two landing electrodes. The aluminum mirror plate,which is supported by two nickel support posts, is overhung about 10.mu.m from the silicon substrate. THe aluminum mirror plate is actuated like a seesaw by electrostatic force generated by electic potential difference applied between the mirror plate and the address electrode. This paper presents some methods to measure the optical and the dynamic characteristics of the fabricated micro mirror.

• Journal of the Korean Society for Precision Engineering
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• v.5 no.4
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• pp.59-65
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• 1988

This paper describes the transmutation layer of CNC Wire electrical discharte machined surface. In order to analayze and invesigate transmutation layer of the carbon tool steel, workpieces was heat-treated by quenching, tempering, normaling. The obtained results are summarized as follows. 1. The result showed that wire electrical discharge machined surface region was transmuted into the recdast layer in the range of about 10${\mu}$m deep by resolidification and next zone was transmuted into the heat affected zone in the range of about 15${\mu}$m deep by high temperature. 2. The hardness of the recast layer and heat affected zone was decreased on its machined surface. 3. The more wire feedrate was increased, the more electrical discharge machine gap was decreased.

• Journal of the Semiconductor & Display Technology
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• v.3 no.2
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• pp.27-33
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• 2004

This paper is concerned with development of a micro tensile testing machine for optical functional materials such as single or poly crystal silicon and nickel film. Two micro tensile testers have been developed for various types of materials and dimensions. One of the testers is actuated by a PZT and the other is actuated by a servo motor for a precise displacement control. The specifications of PZT actuated micro tensile tester developed are as follows: the volumetric size of tester is desktop sized of 710$\times$200$\times$270 $mm^3$; the minimum load capacity and the load resolution in the load cell of 1N are 3 mN and 0.1 mN respectively; the full stroke and the stoke resolution of piezoelectric actuator are 1 mm and 10nm respectively. A special automatic specimen installing equipment is applied in order to prevent unexpected deformation and misalignment of specimens during handling of specimen for testing.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.217-218
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• 2012

기기간(M2M, Machine-to-Machin) 통신의 한 응용으로서 스마트 그리드 네트워크는 다수의 기기 통신으로 인한 전송 데이터의 방대한 양을 대표적 특징으로 꼽을 수 있다. 이에 현재 사용가능한 통신 기술들을 그대로 사용할 경우, 병목현상 혹은 네트워크 혼잡 등 네트워크 장애 및 전송 지연이 발생할 수 있다. 특히 스마트 그리드 네트워크의 상향 트래픽은 시간조절이 가능한 주기적 미터링 데이터와 지연민감한 이벤트 데이터로 나뉜다. 이에 본 논문에서는 각 트래픽 특성에 따라 트래픽양의 대다수를 이룰 미터링 데이터의 전송시간 조절을 이용한 혼잡제어 기법을 제안한다. 이를 통해 지연민감한 이벤트 데이터의 지연시간 내 전송 보장 확률을 높이고, 트래픽을 분산시킴으로써 전송 효율을 높이고자 한다.