• KIPS Transactions on Software and Data Engineering
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• v.3 no.5
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• pp.187-194
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• 2014

Prostate cancer is a malignant tumor occurring in the prostate. Recently, the repetition rate is increasing. Image inspection method which we can check the prostate structure the most correctly is MRI(Magnetic Resonance Imaging), but it is hard to apply it to all the patients because of the cost. So, they use mostly TRUS(Transrectal Ultrasound) images acquired from prostate ultrasound inspection and which are cheap and easy to inspect the prostate in the process of treating and diagnosing the prostate cancer. Traditionally, in the hospital the doctors saw the TRUS images by their eyes and manually segmented the boundary between the prostate and nonprostate. But the manually segmenting process not only needed too much time but also had different boundaries according to the doctor. To cope the problems, some automatic segmentations of the prostate have been studied to generate the constant segmentation results and get the belief from patients. In this study, we propose an average shape model to segment the prostate boundary in TRUS prostate image. The method has 3 steps. First, it finds the probe using edge distribution. Next, it finds two straight lines connected with the probe. Finally it puts the shape model to the image using the position of the probe and straight lines.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.66-77
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• 2014

UTIS(Urban Traffic Information System) directly collects link travel time in urban area by using probe vehicles. Therefore it can estimate more accurate link travel speed compared to other traffic detection systems. However, UTIS includes some missing data caused by the lack of probe vehicles and RSEs on road network, system failures, and other factors. In this study, we suggest a new model, based on k-NN algorithm, for imputing missing data to provide more accurate travel time information. New imputation model is an adaptive k-NN which can flexibly adjust the number of nearest neighbors(NN) depending on the distribution of candidate objects. The evaluation result indicates that the new model successfully imputed missing speed data and significantly reduced the imputation error as compared with other models(ARIMA and etc). We have a plan to use the new imputation model improving traffic information service by applying UTIS Central Traffic Information Center.

• Journal of Korean Society of Transportation
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• v.22 no.2 s.73
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• pp.165-175
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• 2004

본 고는 대전광역시 첨단교통모델도시 건설사업의 일환으로 구축된 DSRC(Dedicated Short Range Communication) 기술을 활용한 교통정보시스템 구축 사례를 소개함을 목적으로 한다. 공공부문에서의 구간정보 수집 및 가공 체계 구축은 본 대전 ITS 사업이 처음이며 더욱이 DSRC 기술을 구간정보 수집에 적용한 최초의 시도이다. 이에 시스템 구축과정에서 적지 않은 쟁점이 도출되었고, 많은 시행착오를 통해 그 해법을 찾아가며 현재 운영중인 시스템을 완공하게 되었다. 노변기지국(RSE)과 차량장치(OBE)간의 통신에 의해 수집된 자료는, 필터링, 검지기 지점정보, 패턴데이터 등과의 자료합성, 평활화, 통계정보 및 패턴정보 생성 등의 과정을 거쳐 구간소통정보가 산출된다. 현재 운영중인 본 시스템은 향후 지속적으로 보완 발전시켜 나가야 하며, 이를 위해 프로브 수집체계 보완, 시스템의 성능평가, 패턴데이터의 적절한 유지관리, 알고리즘의 지속적 발전 등을 향후과제로서 제시하였다. 본 고는 ITS사업에 있어 중요 쟁점중에 한 분야인 소통정보의 가공 절차를 공유함으로써, 관련 분야의 기술개발 촉진과 향후 유사시스템 구축의 시행착오를 줄이는데 기여할 수 있으리라 판단된다.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.316-316
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• 2012

본 연구에서는 Si wafer에 마스크 공정 및 Slit-etching 공정을 적용하여 25 um 피치의 probe unit을 개발하기 위해 Deep Si Etching 장비를 이용하여 식각공정 조건에 따른 특성을 평가하였다. 25 um pitch는 etch 폭의 크기에 따라 3종류로 설계하였으며, 식각공정은 2수준, 4인자 실험계획법에 의해 8회 실험을 수행하였다. 실험계획법에 의해 미니탭을 활용하여 최적조건을 구한 결과 12.5 um etch 폭에서는 가스유량은 200 sccm, 에칭시간 7 sec, 코일 파워 1500W, 에칭 압력은 43.7 mtorr의 조건이 etch 형태 및 profile angle이 목표치에 근접한 결과를 얻었다. 또한 probe pitch를 30~60 um까지 증가시켰을 경우 Etch depth는 증가하였으며, 식각율 또한 증가한 현상을 보였다. 재현성 실험을 위해 위의 최적조건을 이용하여 2회 반복하여 실험한 경우 모든 시편이 목표치에 도달하였다. 이는 미세피치화 되는 프로브 유닛의 기초데이터로 활용될 수 있다.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.95-95
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• 2016

반도체 및 디스플레이 공정용 플라즈마 장치에서 플라즈마 변수를 측정하기 위한 방법들이 많이 개발되어 왔다. 전자 밀도와 온도는 정전 탐침이나 컷오프 프로브 등을 사용하여 활성종이나 중성종에 비해 상대적으로 쉽게 측정할 수 있고, 활성종과 중성종은 LIF (Laser Induced Fluorescence) 방법, OES (Optical Emission Spectrometry) 방법, 그리고 QMS (Quadrupole Mass Spectrometry) 방법 등을 이용하여 측정할 수 있으나 절대적인 크기를 측정할 수 있는 경우는 제한적인 것으로 알려져 있다. 이러한 문제를 극복하기 위해 측정한 전자 밀도와 전자 온도를 기반으로 하여 고려되는 종들의 밀도를 계산할 수 있는 프로그램도 제작된 바 있다. 개발된 프로그램의 입력 값으로 사용되는 플라즈마 화학반응 데이터베이스는 계산 결과의 정확성과 밀접한 관계가 있으며, 이런 이유로 신뢰성 높은 데이터베이스를 확보하기 위한 연구도 진행되었다. 개발된 프로그램을 이용하여 계산한 플라즈마 변수의 장비 변수에 대한 의존성이 진단 데이터와도 잘 부합하는 것으로 확인되었다.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.4
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• pp.408-413
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• 2015

The quality prediction of the semiconductor industry has been widely recognized as important and critical for quality improvement and productivity enhancement. The main objective of this paper is to predict the final quality of semiconductor chips based on fail bit count information obtained from probe tests. Our proposed method consists of solving the data imbalance problem, non-parametric variable selection, and adjusting the parameters of the model. We demonstrate the usefulness and applicability of the proposed procedure using a real data from a semiconductor manufacturing.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.9
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• pp.158-165
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• 2000

Reverse engineering is reproducing products by directly extracting geometric information from physical objects such as clay model wooden mock-up etc. The fundamental work in the reverse engineering is to acquire the geometric data for modeling the objects. This research proposes a novel method for data acquisition aiming at unmanned fast and precise measurement. This is come true by the sensor fusion with CCD camera using structured light beam and touch trigger sensor. The vision system provides global information of the objects data. In this case the number of data and position allocation for touch sensor is critical in terms of the productivity since the number of vision data is very huge. So we applied wavelet transform to reduce the number of data and to allocate the position of the touch probe. The simulated and experimental results show this method is good enough for data reduction.

• Korean Journal of Optics and Photonics
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• v.11 no.6
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• pp.452-456
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• 2000

A measurement unit and signal processing algorithm have been developed for predicting arterial oxygen saturation noninvasively. The measurement set-up was composed of a probe including light source and photodetector, optical signal processing section, LED driving circuit, PC interface software for data acquisition and data processing software. Light from the LED's was irradiated onto the finger nail bed and transmitted light was measured at different wavelengths. An effective baseline correction method was developed and measured data were analyzed by using various data processing methods and prediction algOlithms. For performance evaluation, a pulse oximeter simulator (Bio- Tek Instrument Inc.) was used as reference. The best performance in terms of the correlation coefficient and the standard deviation was obtained under the following conditions; when the arterial signals were computed in terms of area rather than peak-valley difference, and when the algorithm calculating by $In(I_p/I_v)/I_{avr}$ value for pulsation waveform was used. In in vivo test, prediction was improved when the developed baseline correction method was used. In addition, wavelengths of 660 nm and 940 nm provided better linearity and precision than wavelengths of 660 nm and 805 nm. 05 nm.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.6
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• pp.74-83
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• 2011

The high-pass transportation information system directly collects section information by using probe cars and therefore can offer more reliable information to drivers. However, because the running condition and features of probe cars and statistical processing methods affect the reliability of the information and particularly because the section travel time is greatly influenced by whether there has been delay by signals on urban roads or not, there can be much deviation among the collected individual probe data. Accordingly, researches in multilateral directions are necessary in order to enhance the credibility of the section information. Yet, the precedent studies related to high-pass information provision have been conducted on the highway sections with the feature of continuous flow, which has a limit to be applied to the urban roads with the transportational feature of an interrupted flow. Therefore, this research aims at analyzing the features of high-pass transportation data on urban roads and finding a proper processing method. When the characteristics of the high-pass data on urban roads collected from RSE were analyzed by using a time-space diagram, the collected data was proved to have a certain pattern according to the arriving cars' waiting for signals with the period of the signaling cycle of the finish node. Moreover, the number of waiting for signals and the time of waiting caused the deviation in the collected data, and it was bigger in traffic jam. The analysis result showed that it was because the increased number of waiting for signals in traffic jam caused the deviation to be offset partially. The analysis result shows that it is appropriate to use the mean of this collected data of high-pass on urban roads as its representative value to reflect the transportational features by waiting for signals, and the standard of judgment of delay and congestion needs to be changed depending on the features of signals and roads. The results of this research are expected to be the foundation stone to improve the reliability of high-pass information on urban roads.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.229-235
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• 2013

In this paper, we investigate several important issues on the implementation of a totally implantable microsystem for brain-machine interface that has been attracting a lot of attention recently. So far most of the scientific research has been focused on the high performance, low power electronics or systems such as neural signal amplifiers and wireless signal transmitters, but the real application of the implantable microsystem is affected significantly by a number of factors, ranging from design of the encapsulation structure to physiological and anatomical characteristics of the brain. In this work, we discuss on the thermal effect of the system, the detecting volume of the neural probes, wireless data transmission and power delivery, and physiological and anatomical factors that are critically important for the actual implementation of a totally brain implantable neural interface microsystem.