• 한국항행학회논문지
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• 제19권5호
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• pp.370-378
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• 2015

데이터획득/처리장치는 수리온의 2차양산 항공기에 최초 적용하기 위해 개발한 항공기 구성품으로서 엔진, 동력전달, 유압 등 항공기의 주요 계통의 정보를 처리, 타 계통 및 조종사에게 제공한다. 그러나 항공기 생산시험비행 중 해당 구성품과 관련된 여러 결함이 발생하였으며, 장비의 중요성을 고려할 때 긴급하고 확실한 개선이 요구되었다. 본 논문에서는 항공기에서 발생한 결함을 유형별로 분석하고 그 결과를 바탕으로 동작회로와 소프트웨어 전반에 걸쳐 원인분석 및 개선형상을 검증한 결과를 기술하였다. 특히 결함주입기법 기반의 항공기 연동시험을 통해 구성품 장비단위 뿐 아니라 체계단위에서 효과적으로 개선형상을 검증하였으며 이를 통해 수리온 비행안전성 및 품질 신뢰성을 크게 향상시킬 수 있었다.

• 산업경영시스템학회지
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• 제35권1호
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• pp.16-23
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• 2012

Recently, as organizational systems have become larger and more complicated, the evaluation for their efficiency and effectiveness has become more difficult but important. It is essential to understand the current strength and weakness of the organizational process. It can be a starting point for improving the efficiency and effectiveness of the organizational systems, because the quality of system outputs depend greatly on the capability of system process. Particularly in such process-based industries as semiconductor, energy or software industries, an assessment of process capability is more highlighted to gain knowledge of the expected quality and reliability of system outputs. As a result, much attention has been given to the issues of process capability assessment in the process-based industries. However, most of the previous research in those industries is based on case studies, a more generalized method for process capability assessment is in need for help more companies improve their processes. Therefore, this study aims to propose a process capability assessment method and apply the proposed method to an energy company. This research argues that the process capability is composed of individual and organizational capabilities of the process. Then, the concept of Capability Maturity Model Integration, which was initially suggested to evaluate the software development process, was introduced to develop the assessment tools and process. Finally, the proposed method was applied to a Korean company in the energy industry sector to verify its utility. The research outputs are expected to help more firms assess their process capability and ultimately improve the process.

• 천문학회보
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• 제41권2호
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• pp.48.2-48.2
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• 2016

The wide-field and the round-the clock operation capabilities of the KMTNet enables the discovery, astrometry and follow-up physical characterization of asteroids and comets in a most efficient way. We collectively refer to the team members, partner organizations, the dedicated software subsystem, the computing facility and research activities as Deep Ecliptic Patrol of the Southern Sky (DEEP-South). Most of the telescope time for DEEP-South is devoted to targeted photometry of Near Earth Asteroids (NEAs) to push up the number of the population with known physical properties from several percent to several dozens of percent, in the long run. We primarily adopt Johnson R-band for lightcurve study, while we employ BVI filters for taxonomic classification and detection of any possible color variations of an object at the same time. In this presentation, the progress and new findings since the last KAS meeting will be outlined. We report DEEP-South preliminary lightcurves of several dozens of NEAs obtained at three KMTNet stations during the first year runs. We also present a physical model of asteroid (5247) Krylov, the very first Non principal Axis (NPA) rotator that has been confirmed in the main belt (MB). A new asteroid taxonomic classification scheme will be introduced with an emphasis on its utility in the LSST era. The progress on the current version of automated mover detection software will also be summarized.

• 한국조경학회지
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• 제29권3호
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• pp.81-89
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• 2001

The purpose of this research is to provide for some useful data for computer-related courses of the landscape science, assuming that computers are being and should be used more and more in landscape architecture and therefore, that landscape science students need to respond positively to such a trend. For this purpose, landscape architecture studios and their landscape architects were surveyed for their computer and its program uses as well as their satisfaction with the utility of computer for their landscape works. The results of this research are as follows; 1) 10.7% of the landscape architects surveyed answered that they had learned about their necessary softwares at school, while 61.6% of the studios surveyed were less satisfied with their employees' poor computing ability. Such findings suggest a lack of computer-related courses in landscape science and therefore, that more computer-related courses should be introduced for landscape science students together with the necessary software education. 2) Too few landscape softwares are being used by the landscape architecture studios; such softwares as AutoCAD, Photoshop, 3D Max, Excel, PowerPoint and 한글 account for more than 90% of the landscape architecture softwares being used currently. Quite naturally, landscape students need to be trained on these softwares above all. 3) It was found hat he area of work using the computer most was ˝design works˝(84.5%), followed by ˝documentation˝(83.8%), ˝image editing˝(75.1%), ˝cost calculation˝(68.2%), ˝presentation˝(68.1%), ˝analysis˝(37.8%) and ˝rendering˝(35%). It was regretable to discover that such areas requiring more computing work as ˝analysis˝ and ˝rendering˝ were still worked manually. So it sis deemed necessary for landscape science courses to enhance their computer education of such areas first of all.

• 말소리와 음성과학
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• 제13권1호
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• pp.73-79
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• 2021

본 연구에서는 노화에 따른 발화 시 입술 움직임의 변화를 알아보고자 하였다. 연구대상으로 평균 69세의 노인 여성 15명과 평균 22세의 젊은 여성 15명을 선정하였다. 입술 움직임을 측정하기 위해 이중모음 발화시 입술 움직임을 녹화하여 스틸 이미지로 저장한 다음 입술의 움직임이 최소인 부분과 최대한 길이를 영상분석 소프트웨어를 이용하여 pixel 단위로 수작업으로 분석하여 비교하였다. 임상적 활용성을 위해 자동화 알고리즘을 적용하여 소프트웨어를 제작했으며 수작업의 결과와 비교하였다. 연구결과 노년층의 경우 청년층에 비해 이중모음 과제에서 입술의 가로 및 세로의 길이 범위가 작은 것을 알 수 있었다. 수작업과 자동화 방법의 상관관계를 측정한 결과 강한 정적 상관관계가 나타나 두 방법 모두 입술 윤곽 추출 시 유용함을 알 수 있었다. 이상의 결과를 바탕으로 노화가 진행됨에 따라 발화 시 입술의 범위가 작아지는 것을 알 수 있었다. 따라서 노화가 진행되기 전 간단하게 입술의 움직임을 측정하여 본인의 상태를 모니터링하고 입술 범위를 유지할 수 있는 운동을 실시한다면 노화로 인한 발음 문제를 예방할 수 있을 것이다.

• The Journal of Korean Physical Therapy
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• 제35권6호
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• pp.177-184
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• 2023

Purpose: The purpose of this study was to compare the concurrent validity and test-retest reliability of 'KPIMT Torticollis Protractor', a smart phone and I-pad application for convenient range of motion measurement, and 'Image J', an analysis software with high reliability and validity, according to head tilt and active cervical rotation angle. This was done to determine the clinical utility of 'KPIMT Torticollis Protractor'. Methods: Head tilt and active cervical spine rotation angles of 40 children with congenital muscular torticollis were measured using Image J and KPIMT Torticollis Protractor, respectively. The level of concurrent validity and inter-rater and intra-rater reliability between the two measurement methods were analyzed. Results: For forty participants, the concurrent validity between Image J and KPIMT Torticollis Protractor showed very high validity with ICC of ICC 0.977 (0.995-0.999), 0.994 (0.994-0.998), CV_ME% 0.71-0.72%, SEM% 0.31-0.34%, MDC% 0.86-0.94%. The test-retest intra-rater reliability showed very high reliability ICC 0.911 (0.911-0.966), CV_ME% 0.71%, SEM% 0.34-0.36%, MDC% 0.81-0.94%. The test-retest inter-rater showed very high reliability ICC 0.936 (0.933-0.957), CV_ME% 0.70%, SEM% 0.34-0.35%, MDC% 0.81-0.83%. Conclusion: The KPIMT Torticollis Protractor, a smart phone and IPD application, is a highly reliable and valid device for angle measurement in children with congenital myotonia and can be easily used in clinical practice.

• 한국환경복원기술학회지
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• 제8권3호
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• pp.33-42
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• 2005

The bearing methods using pile of steel itself or reinforced concrete has been applying which in excavated depth was not deep. Also, the retaining wall as resisting structure to lateral force has taken weakness that the cure periods of concreted is long. Recently, with the material cost of steel, the application of cement is more increasing trend. In this study, the design methods of earth retaining and retention wall within the pre-casted concrete pile, PHC(Pretentioned spun High strength Concrete piles), was proposed which in the ground condition of excavated depth was not deep. The typical ground conditions, cohesive and non-cohesive soil, was considered as follows; soil strength as internal friction angle and UU(Undrained Unconsolidation triaxial test) strength, soil reaction and stabilization of structures. The application of design methods could be confirmed through the comparing and analyzing between measured data and utility software for the design.

• 정보기술응용연구
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• 제1권
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• pp.173-211
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• 1999

The task of classification permeates all walks of life, from business and economics to science and public policy. In this context, nonlinear techniques from artificial intelligence have often proven to be more effective than the methods of classical statistics. The objective of knowledge discovery and data mining is to support decision making through the effective use of information. The automated approach to knowledge discovery is especially useful when dealing with large data sets or complex relationships. For many applications, automated software may find subtle patterns which escape the notice of manual analysis, or whose complexity exceeds the cognitive capabilities of humans. This paper explores the utility of a collaborative learning approach involving integrated models in the preprocessing and postprocessing stages. For instance, a genetic algorithm effects feature-weight optimization in a preprocessing module. Moreover, an inductive tree, artificial neural network (ANN), and k-nearest neighbor (kNN) techniques serve as postprocessing modules. More specifically, the postprocessors act as second0order classifiers which determine the best first-order classifier on a case-by-case basis. In addition to the second-order models, a voting scheme is investigated as a simple, but efficient, postprocessing model. The first-order models consist of statistical and machine learning models such as logistic regression (logit), multivariate discriminant analysis (MDA), ANN, and kNN. The genetic algorithm, inductive decision tree, and voting scheme act as kernel modules for collaborative learning. These ideas are explored against the background of a practical application relating to financial fraud management which exemplifies a binary classification problem.

• 정보학연구
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• 제6권3호
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• pp.65-73
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• 2003

본 논문에서는 IBM의 고성능 임베디드(embedded) 프로세서인 405GP와 Linux 2.4.21를 이용하여 5.2GHz 대역에서 최대 54Mbps의 대역폭을 제공할 수 있는 IEEE 802.11a 기반의 AP (Access point) 개발에 관하여 연구하였다. AP의 하드웨어는 PowerPC기반의 IBM 405GP 프로세서를 기반으로 설계하였고 AP 소프트웨어는 405GP을 위한 PowerPC 부트로더, open source인 최근 Linux 커널 2.4.21을 사용하여 구현하였다. 또한 시스템 패키징은 최신 Linux 커널이 지원하는 MTD 기술과 JFFS2 플래쉬 파일시스템을 이용하여 최적으로 구현하였다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제34권2호
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• pp.131-139
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• 2007

본 논문에서는 띄어쓰기 오류와 철자 오류를 동시에 교정 가능한 전처리기를 제안한다. 제시된 알고리즘은 기존의 전처리기 알고리즘이 각 오류를 따로 해결하는 데에서 오는 한계를 극복하고, 기존의 noisy-channel model을 확장하여 대화체의 띄어쓰기 오류와 철자 오류를 동시에 효과적으로 교정할 수 있다. N-gram과 자소변환확률 등의 통계적 방법과 어절변환패턴 사전을 이용하여 최대한 사전을 적게 이용하면서도 효과적으로 교정 후보들을 생성할 수 있다. 실험을 통해 현재 단계에서는 만족할 만한 성능을 얻지는 못하였지만 오류 분석을 통하여 이와 같은 방법론이 실제로 효용성이 있음을 알 수 있었고 앞으로 더 많은 개선을 통해 일상적인 대화체 문장에 대해서 효과적인 전처리기로서 기능할 수 있을 것으로 기대된다.