태양전지용 실리콘 기판의 절삭손상 식각 조건에 의한 곡강도 변화

강병준,박성은,이승훈,김현호,신봉걸,권순우,변재원,윤세왕,김동환,Kang, Byung-Jun,Park, Sung-Eun,Lee, Seung-Hun,Kim, Hyun-Ho,Shin, Bong-Gul,Kwon, Soon-Woo,Byeon, Jai-Won,Yoon, Se-Wang,Kim, Dong-Hwan 한국재료학회 2010 한국재료학회지 Vol.20 No.11

We have studied methods to save Si source during the fabrication process of crystalline Si solar cells. One way is to use a thin silicon wafer substrate. As the thickness of the wafers is reduced, mechanical fractures of the substrate increase with the mechanical handling of the thin wafers. It is expected that the mechanical fractures lead to a dropping of yield in the solar cell process. In this study, the mechanical properties of 220-micrometer-solar grade Cz p-type monocrystalline Si wafers were investigated by varying saw-damage etching conditions in order to improve the flexural strength of ultra-thin monocrystalline Si solar cells. Potassium hydroxide (KOH) solution and tetramethyl ammonium hydroxide (TMAH) solution were used as etching solutions. Etching processes were operated with a varying of the ratio of KOH and TMAH solutions in different temperature conditions. After saw-damage etching, wafers were cleaned with a modified RCA cleaning method for ten minutes. Each sample was divided into 42 pieces using an automatic dicing saw machine. The surface morphologies were investigated by scanning electron microscopy and 3D optical microscopy. The thickness distribution was measured by micrometer. The strength distribution was measured with a 4-point-bending tester. As a result, TMAH solution at $90^{\circ}C$ showed the best performance for flexural strength.

수술 전 위험도 분류에 따른 갑상선 유두암 치료 시 내시경 갑상선 절제술과 고식적 갑상선 절제술의 비교분석

강병준,박경식,서수연,김근영,조민정,유영범,양정현,Byoung Joon Kang,Kyoung Sik Park,Su Yeon Seo,Kun Young Kim,Min Jeng Cho,Young Bum Yoo,Jung-Hyun Yang 대한갑상선-내분비외과학회 2013 The Koreran journal of Endocrine Surgery Vol.13 No.2

Purpose: It is well known that papillary thyroid cancer (PTC) has a good prognosis and high incidence in young women. The objective of the study was to review our criteria to select surgical modality and surgical results and to confirm the feasibility of endoscopic thyroidectomy according to the preoperative risk stratification in the treatment of papillary thyroid cancer. Methods: Between May 2009 and April 2012, 197 patients underwent either a conventional open or an endoscopic thyroidectomy with the preoperative consideration of risk group using clinical parameters of AMES system (patient age, size of tumor, extrathyroid extension, and presence of distant metastasis). A retrospective analysis of the pathologic data according to AMES system after surgery was also conducted. The endoscopic thyroidectomy was performed using the BABA (bilateral axillo-breast approach) method. Results: Based on the method of operation, the low-risk group patients (n=197) were divided into two groups: endoscopic group (n=78) and open group (n=119). Procedure time, postoperative complication rates, and length of hospital stay were tracked, albeit these were not significantly different between the two groups. From the pathologic findings, it was reported that there were no significant differences in tumor size, extrathyroid extension, and metastasis and also in the Off T4 – thyroglobulin level between the two groups. Conclusion: Endoscopic thyroidectomy is a feasible method for the treatment of selected cases of thyroid cancer such as low-risk group according to the appropriate preoperative risk stratification.

와이블 분포함수를 이용한 하수관로 노후도 추정

강병준,유순유,박규홍,Kang, Byongjun,Yoo, Soonyu,Park, Kyoohong 대한상하수도학회 2020 상하수도학회지 Vol.34 No.4

Sewer deterioration models are needed to forecast the remaining life expectancy of sewer networks by assessing their conditions. In this study, the serious defect (or condition state 3) occurrence probability, at which sewer rehabilitation program should be implemented, was evaluated using four probability distribution functions such as normal, lognormal, exponential, and Weibull distribution. A sample of 252 km of CCTV-inspected sewer pipe data in city Z was collected in the first place. Then the effective data (284 sewer sections of 8.15 km) with reliable information were extracted and classified into 3 groups considering the sub-catchment area, sewer material, and sewer pipe size. Anderson-Darling test was conducted to select the most fitted probability distribution of sewer defect occurrence as Weibull distribution. The shape parameters (β) and scale parameters (η) of Weibull distribution were estimated from the data set of 3 classified groups, including standard errors, 95% confidence intervals, and log-likelihood values. The plot of probability density function and cumulative distribution function were obtained using the estimated parameter values, which could be used to indicate the quantitative level of risk on occurrence of CS3. It was estimated that sewer data group 1, group 2, and group 3 has CS3 occurrence probability exceeding 50% at 13th-year, 11th-year, and 16th-year after the installation, respectively. For every data groups, the time exceeding the CS3 occurrence probability of 90% was also predicted to be 27th- to 30th-year after the installation.

속눈썹 추출 방법을 이용한 홍채 인식 성능 향상 연구

강병준,박강령,Kang Byung Joon,Park Kang Ryoung 한국정보처리학회 2005 정보처리학회논문지B Vol.12 No.3

고 수준의 정보 보안이 요구되는 분야에서 최근 많이 사용되고 있는 홍채 인식 알고리즘에서는 홍채 근육의 무의 패턴을 이용하여 고유한 홍채 코드를 생성하고, 이를 이용하여 동일인인지 여부를 판별하게 된다. 그런데 홍채 영역의 위치에 다른 불필요한 정보가 포함되어 홍채 영역을 가리게 된다면, 홍채 인식에서 오류가 발생할 확률도 증가하게 된다. 그 불필요한 정보 중에 대표적인 것이 속눈썹이다. 홍채 영역을 덮고 있는 속눈썹을 홍채 패턴으로 취급하여 인식에 그대로 사용할 경우, 속눈썹의 위치가 변경되게 되면 그에 따라 홍채 코드 역시 바뀌게 되어 인식 오류도 증가하게 될 것이다. 이러한 문제점을 해결하기 위하여 이 논문에서는 마스크 기반으로 속눈썹을 추출함으로써 정확한 홍채 영역을 검출하고, 이를 이용하여 홍채 인식의 성능을 향상시키는 방법을 제안하고자 한다. 실험 결과 본 논문에서 제안하는 속눈썹 추출 알고리즘을 사용하지 않았을 때의 인식성능(EER)보다 제안하는 알고리즘을 사용했을 때의 인식 성능이 $0.18\%$ 향상되는 결과를 얻었다. With iris recognition algorithm, unique iris code can be generated and user can be identified by using iris pattern. However, if unnecessary information such as eyelash is included in iris region, the error for iris recognition is increased, consequently. In detail, if iris region is used to generate ins code not excluding eyelash and the position of eyelash is moved, the iris codes are also changed and the error rate is increased. To overcome such problem, we propose the method of detecting eyelash by using mask and excluding the detected eyelash region in case of generating iris code. Experimental results show that EER(Equal Error Rate) for iris recognition using the proposed algorithm is lessened as much as $0.18\%$ compared to that not using it.

생활안전 건강 감시 조직으로서 사회적 경제조직

강병준(Kang, Byoung Jun) 서울행정학회 2016 한국사회와 행정연구 Vol.27 No.2

최근 들어, 사회적인 이슈로 등장하는 재난과 각종 사건・사고, 신종 감염병 등이 빈번하게 발생하면서 생활안전에 대한 관심이 높아지고 있다. 그러나 복잡하고 예측이 어려운 재난과 사건・사고를 예방하고 체계적으로 대응하는 것은 중앙정부의 노력만으로는 한계가 있고 지역공동체를 활용한 공공 건강 감시가 보다 효과적이다. 따라서 본 논문에서는 지역공동체 건강 감시 체계 구축 방안을 제시하기 위해 한국의 공공 건강 감시체계를 공공 건강 감시의 개념적 틀에 한정하여 탐색적 차원에서 분석하였다. 분석 결과 공공 건강 감시 관련법・제도의 미흡, 공공 건강 감시 조직 및 인력의 부족, 공공 건강 감시 관련 정보시스템의 비효율 등이 나타났다. 이러한 문제를 해결하고 지역사회 공동체 건강 감시 체계 구축을 위해 지역공동체 중심의 공공 건강 감시관련 법률의 제・개정, 지역 기반 공공 건강 감시 조직 및 인력의 조정 및 역량강화, 공공 건강 감시 정보시스템의 재구성 및 통합운영, 지역공동체 결사체와 사회적 경제조직의 연대와 협력 등을 제안 하였다. Recently, the interest about the life security is rising while the disaster, every kind of case accident, new type infectious disease, and etc. happens often. But it has the limit to prevent the disaster, accident, and etc. in which the central government is complicated and of which the prediction is difficult and systematically deal and the public health surveillance through the local community is more effective. Therefore, korean public health viewing system was analyze in order to suggest the local community health viewing system sheme of construction. The insufficiency of the analyzed result public health monitoring relation law and system, tribe of the public health monitoring organization and human agency, inefficiency of the public health monitoring relation information system, and etc. showed. For the local community health viewing system construction, the revision of the public health monitoring related law of the community consistency, adjustment of the public health monitoring organization of the local community and human agency and reinforcement of the Capability, reconfiguration of the public health monitoring information system and integrated operation, link of the local community association and social economic structure and cooperation, and etc. were proposed.

기계적 자극이 세포 골격 구조 형성에 미치는 영향

강병준(Byungjun Kang),조승한(Seunghan Jo),류찬열(Chanryeol Rhyou),이형석(Hyungsuk Lee) 대한기계학회 2016 대한기계학회 춘추학술대회 Vol.2016 No.12

Actin, one of primary cytoskeletal proteins, forms bundles or networks which provide mechanical rigidity to cells. Those high-order structures are rather heterogeneous than homogeneous in order to perform various cellular functions including migration, division, and contraction. However, the effect of mechanical stimulation on actin network organization remains unclear. We hypothesize that the shear produced by the intracellular flow plays a role in determining the heterogeneity of actin networks. Here we develop a computational model of actin filament network and investigate how the mechanical flow influences on the network organization. We compare actin networks formed in the absence and presence of mechanical stimulation in terms of degree of filament alignment and thickness of actin bundle. Our results suggest that the mechanical stimulation contributes to the spatiotemporal regulation of the actin cytoskeleton structures.

Stochastic Geometry를 이용한 LTE-U 간섭 분석

강병준(Kang Byungjun),박세웅(Bahk Saewoong) 한국통신학회 2015 한국통신학회 학술대회논문집 Vol.2015 No.06

홍채 인식에서의 눈꺼풀 및 눈썹 추출 연구

강병준(Byung Joon Kang),박강령(Kang Ryoung Park) 한국멀티미디어학회 2005 멀티미디어학회논문지 Vol.8 No.7

High-Speed Signaling을 위해 최적화된 디지털 기반의 64-bit Parallel PRBS-7 Pattern Generator의 구현

강병준(Byungjun Kang),정덕균(Deog-Kyoon Jeong) 대한전자공학회 2021 대한전자공학회 학술대회 Vol.2021 No.6

뇌의 전기적 신호 해석에 따른 사람의 동작 분류

강병준(Byung Jun Kang),조현찬(Hyun Chan Cho) 한국지능시스템학회 2021 한국지능시스템학회논문지 Vol.31 No.4

본 논문에서는 실제 팔을 움직일 때 발생하는 뇌파를 이용하여 뇌에서 팔 근육까지 전달되는 전기적 신호를 심층신경망을 이용하여 실시간으로 분류하고자 하였다. 실제 팔을 들어 움직인 것은 움직이려는 의지가 분명하게 발현된 것으로써, 어떠한 뇌의 전기적 신호가 근육을 움직이는 의지를 의미하는 신호인지 알아보고자 하였다. 데이터 수집을 위하여 실제 오른팔에 근전도 센서를 장착하여 비프음에 따라 팔을 올리고, 내리는 작업을 수행하는 동시에 8채널의 뇌파를 측정하였다. 근전도 신호를 통해 동작을 구분하는 알고리즘을 제안하고, 이를 이용하여 뇌파를 입력으로 하는 심층신경망의 학습 정답지로 사용하였다. 본 연구를 통해 팔을 움직임을 구분하기 위한 뇌의 전기적 신호는 동작상상이 아닌 실제 행동의지에 대응하는 물리적 전기신호로써 절대적 크기보다 상대적 변화량과 주파수 영역의 신호가 주요한 특징이 될 수 있음을 파악하였다. In this paper, we intend to classify electrical signals from the brain to the arm muscles in real time using brain waves that occur when the actual arm is moved using a deep neural network. The actual movement of the arm was a clear manifestation of the motion will, trying to find out which electrical signals of the brain were the will to move the muscles. For data collection, an EMG sensor was mounted on the actual right arm to raise and lower the arm according to the beep, while measuring 8-channels of EEG equipment. We propose an algorithm to distinguish actions through an electrostatic signal, and use it as a learning answer for deep neural networks with brain waves as input. Through this work, we find that electrical signals in the brain to distinguish arm movements are physical electrical signals that correspond to actual actions rather than motional imagination, and that signals in relative variations and frequency domains can be key features over absolute amplitude.