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      • KCI등재

        자연 휴양림 내 건축물의 시각적 영향에 관한 연구 - 조령산자연휴양림을 대상으로 -

        김범수,Kim Bum-Soo 한국조경학회 2005 韓國造景學會誌 Vol.33 No.1

        The aim of this study was to explain the relationship between the landscape organization and evaluating factors to harmonize the buildings with natural landscape using the landscape simulation models (near view less than $100{\cal}m$) controled the distance and obtain some knowledges about the introduction of buildings into the recreation forest. Through this study, the results were summarized as follow ;1) As the distance got to be near, the evaluation of comprehensive scenery and natural quality became low. 2) At the view points according to the distance the clear landscape organization showed a high value of scenery in comparison with the simple landscape organization, 3) As the coniferous forest showed more high value in comparison with the deciduous forest, the forest type surrounding cottage is important factor evaluating the landscape in the recreation forest area.

      • KCI등재

        An Index-Building Method for Boundary Matching that Supports Arbitrary Partial Denoising

        김범수,Kim, Bum-Soo The Korea Institute of Information and Commucation 2019 한국정보통신학회논문지 Vol.23 No.11

        Converting boundary images to time-series makes it feasible to perform boundary matching even on a very large image database, which is very important for interactive and fast matching. In recent research, there has been an attempt to perform fast matching considering partial denoising by converting the boundary image into time series. In this paper, to improve performance, we propose an index-building method considering all possible arbitrary denoising parameters for removing arbitrary partial noises. This is a challenging problem since the partial denoising boundary matching must be considered for all possible denoising parameters. We propose an efficient single index-building algorithm by constructing a minimum bounding rectangle(MBR) according to all possible denoising parameters. The results of extensive experiments conducted show that our index-based matching method improves the search performance up to 46.6 ~ 4023.6 times. 윤곽선 이미지를 시계열로 변환하는 작업은 빠르고 상호작용 방식이 매우 중요한 대용량 이미지 데이터베이스에서도 윤곽선 매칭 수행을 가능 할 수 있게 만든다. 최근 연구에서는 윤곽선 이미지를 시계열 데이터로 변환하여 부분 노이즈제거를 고려하면서 빠르게 매칭을 수행하려는 시도가 있었다. 본 논문에서는 성능 향상을 위해 임의의 노이즈제거를 위해 임의의 모든 노이즈제거 매개 변수를 고려한 색인 구축 방법을 제안한다. 이는 가능한 모든 노이즈제거 매개 변수에 따른 부분 노이즈제거를 고려해야하기 때문에 어려운 문제이다. 본 논문에서는 다차원 색인인 R*-tree를 사용하여 모든 가능한 노이즈제거 매개 변수에 의한 최소 경계 영역(MBR)을 구성하여 효율적인 단일 생성 알고리즘을 제안한다. 다양한 실험 결과, 제안한 색인 기반 매칭 방법은 검색 성능을 최대 46.6 ~ 4023.6 배나 향상시킨다.

      • 당일 입원 환자의 치과 수술 시 Propofol을 이용한 Monitored-Aesthesia Care (MAC)의 안정성 및 유용성에 관한 연구

        김범수,김영균,윤필영,이용인,Kim, Bum-Soo,Kim, Young-Kyun,Yun, Pil-Young,Lee, Yong-In 대한치과마취과학회 2007 Journal of Dental Anesthesia and Pain Medicine Vol.7 No.2

        Background: Propofol has been used extensively for short-acting intravenous sedative agent during monitored anesthesia care (MAC). This study was designed to evaluate the safety and availability of MAC using propofol in implant surgery of the one-day admission patients. Methods: In this study, subjects were divided into two groups according to ASA physical status. The heart rate, blood pressure, peripheral oxygen saturation and ECG of a patient were estimated under MAC by an anesthesiologist and the vital signs were recorded in recovery room periodically afterwards. The subjective satisfaction with regard to outpatient ambulatory surgery under MAC procedure was evaluated the next day. Results: Systolic and diastolic blood pressure were significantly decreased during MAC in ASA I group, but other remarkable changes in vital sign were not observed. There was no significant difference in pain and anxiety level between ASA I and ASA II, III group. Satisfaction rate was high in both groups. Conclusion: Monitored-Anesthesia Care using propofol during implant surgery of the one-day admission patients might be safe and available procedure because heart rate, blood pressure and oxygen saturation are stable before and during surgery, and adequate control of pain and anxiety is supported.

      • KCI등재

        벨로우즈 방식의 폐회로를 가진 공압식 심실 보조장치의 최적 작동을 위한 압력 조절 시스템

        김범수,이정주,남경원,정기석,안치범,선경,Kim, Bum-Soo,Lee, Jung-Joo,Nam, Kyung-Won,Jeong, Gi-Seok,Ahn, Chi-Bum,Sun, Kyung 대한의용생체공학회 2007 의공학회지 Vol.28 No.4

        Ventricular Assist Device(VAD) has switched its goal from a short-tenn use for bridge-to-transplantation to a long-tenn use for destination therapy, With this goal, the importance of long-tenn reliability gets more interests and importances, H-VAD is an portable extracorporeal biventricular assist device, and adopts an electro-pneumatic driving mechanism. The pneumatic pressure to pump out blood is generated with compression of bellows, and is transmitted in a closed pneumatic circuit through a pneumatic line. The existing pneumatic VAD adopts a air compressor which can generate stable pressures but has defects such as a noise and a size problem. Thus, it is not suitable for being used as a portable device, These problems are covered with adopting a closed pneumatic circuit mechanism with a bellows which has a small size and small noise generation, but it has defects that improper pneumatic setting causes a failure of adequate flow generation. In this study, the pneumatic pressure regulation system is developed to cover these defects of a bellows-type pneumatic VAD. The optimal pneumatic pressure conditions according to various afterload conditions for an optimal flow rate were investigated and the afterload estimation algorithm was developed, The final pneumatic regulation system estimates a current afterload and regulate the pneumatic pressure to the optimal point at a given afterload condition. The afterload estimation algorithm showed a sufficient performance that the standard deviation of error is 8.8 mmHg, The pneumatic pressure regulation system showed a sufficient performance that the flow rate was stably governed to various afterload conditions. In a further study, if a additional sensor such as ultrasonic sensor is developed to monitor the direct movement of diaphragm in a blood pump part, the reliability would be greatly increased. Moreover, if the afterload estimation algorithm gets more accuracy, it would be also helpful to monitor the hemodynamic condition of patients.

      • KCI등재

        장애인 국가대표 선수들의 스포츠 경험을 통한 심리적 성숙에 관한 내러티브 연구

        김범수(Kim, Bum-Soo) 한국체육과학회 2024 한국체육과학회지 Vol.33 No.4

        The purpose of this study is intended to grasp the lives of national elite physically disadvantaged athletes. The author of this study, while being engaged in this academic pursuit, posed 2 fundamental questions. One question is ‘How do the national elite physically disadvantaged athletes speak of their own experience they garnered at their training sites, stadiums and other venues wherein they practice and perform their sports?’ Another question, which author posed during his course of study, is ‘What kind of significance do the narratives of these members have, in particular, the narrative they speak of in regards to the experience they garnered? For the sake of better comprehending the lives of the national elite physically disadvantaged team members, the author interviewed 3 national elite physically disadvantaged team members and employed the narrative inquiry study method, with which the author was able to get a better picture of his audience. The author was able to engage with, gather, analyze and reorganize the lives of these members as they were sharing their stories about their life as a national elite physically disadvantaged team member, with which the author was able to remake and convey their stories in a way that evidently show that the significant events, turning points and milestones in their life had great influence on them, which prompted them to become more mature in all aspects of life. The author of the study incessantly contemplated throughout this research about the identity and the purpose of life, which also led him to ponder about the national elite physically disadvantaged team members he was engaged with. ‘What is their identity as athletes? What are the significant events that led them to mature? What are the things they can do with their experience in the realm of sports and culture? The author of this study followed his train of thought and was able to realize that they were able to mature even in hard times during when they were clouded with despair and doubt. This study also served as a great opportunity to the author himself as he got a broader picture about the life of the physically disadvantaged athletes and their life and will take this life lesson to heart so as to approach them better.

      • KCI등재

        2008년도 학생논문 경진대회 수상작 - 시계열 이동평균 변환을 이용한 노이즈 제어 윤곽선 이미지 매칭

        김범수(Bum-Soo Kim),문양세(Yang-Sae Moon),김진호(Jin-Ho Kim) 한국정보과학회 2009 정보과학회논문지 : 데이타베이스 Vol.36 No.4

        본 논문에서는 윤곽선 이미지 매칭에서 노이즈 제거 정도를 제어하기 위해 시계열 매칭의 이동평균 변환을 이용한다. 이동평균 변환을 윤곽선 이미지 매칭에 적용하게 된 동기는 이동평균 변환이 시계열의 노이즈를 감소시키므로, 이를 사용하면 윤곽선 이미지 매칭에서도 노이즈 제어 효과를 얻을 수 있을 것이라는 직관에 기반한다. 본 논문에서는 우선 윤곽선 이미지 매칭에 이동평균 변환을 적용한 k-계수 이미지 매칭(k-order image matching)을 제안한다. 제안한 k-계수 이미지 매칭은 윤곽선 이미지가 변환된 시계열에 k-이동평균 변환을 적용하여 시계열(이미지) 간의 유사성을 판단한다. 다음으로, 대용량 이미지 데이터베이스를 대상으로 k-계수 이미지 매칭을 수행하기 위한 인덱스 기반 매칭 방법을 제안하고, 그 정확성을 정형적으로 증명한다. 또한, 계수 k와 매칭 결과와의 관계를 정형적으로 분석하고, 이에 기반하여 계수 k를 변화시키면서 노이즈 제거 정도를 제어하는 방안을 제시한다. 실험 결과, k-계수 이미지 매칭이 노이즈 제거 효과를 가짐을 확인하였으며, 제안한 인덱스 기반 매칭 방법은 순차 스캔에 비해 수 배에서 수십 배 빠른 성능을 보이는 것으로 나타났다. To achieve the noise reduction effect in boundary image matching, we use the moving average transform of time-series matching. Our motivation is based on an intuition that using the moving average transform we may exploit the noise reduction effect in boundary image matching as in time-series matching. To confirm this simple intuition, we first propose k-order image matching, which applies the moving average transform to boundary image matching. A boundary image can be represented as a sequence in the time-series domain, and our k-order image matching identifies similar images in this time-series domain by comparing the k-moving average transformed sequences. Next, we propose an index-based matching method that efficiently performs k-order image matching on a large volume of image databases, and formally prove the correctness of the index-based method. Moreover, we formally analyze the relationship between an order k and its matching result, and present a systematic way of controlling the noise reduction effect by changing the order k. Experimental results show that our k-order image matching exploits the noise reduction effect, and our index-based matching method outperforms the sequential scan by one or two orders of magnitude.

      • KCI등재
      • KCI등재
      • KCI등재

        과적화물차량 단속을 위한 화물 DTG 데이터 기반의 빅데이터 분석 프레임워크 설계 및 구현

        김범수(Bum-Soo Kim) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.12

        본 논문에서는 과적 화물차량 단속을 위한 대용량 화물 DTG 데이터 분석 플랫폼을 설계 및 구현한다. DTG(digital tachograph)는 차량운행기록을 실시간으로 저장하는 장치로서, 차량의 GPS, 속도, RPM, 제동유무, 이동거리 등 차량운행 관련 데이터가 1초 단위로 기록된다. 차량 운행 패턴 및 분석을 하기 위해서는 DTG 데이터의 빠른 처리가 필수적이며, 특히 대용량 DTG 데이터를 가공 및 변환하기 위해서는 빅데이터 분석 플랫폼이 필요하다. 본 논문에서는 오픈소스 기반의 빅데이터 프레임워크인 스파크(Spark)를 이용하여 과적차량 단속을 위한 대용량 화물 DTG 데이터의 분석 플랫폼을 구현하였다. 구현 결과, 실제 대용량 화물 DTG 데이터를 GIS 데이터로 변환하여 지도상에 표현하고 단속 추천 지점을 보여준다. In this paper, we design and implement an analytics platform based on bulk cargo DTG data for crackdown on overloaded trucks. DTG(digital tachograph) is a device that stores the driving record in real time; that is, it is a device that records the vehicle driving related data such as GPS, speed, RPM, braking, and moving distance of the vehicle in one second unit. The fast processing of DTG data is essential for finding vehicle driving patterns and analytics. In particular, a big data analytics platform is required for preprocessing and converting large amounts of DTG data. In this paper, we implement a big data analytics framework based on cargo DTG data using Spark, which is an open source-based big data framework for crackdown on overloaded trucks. As the result of implementation, our proposed platform converts real large cargo DTG data sets into GIS data, and these are visualized by a map. It also recommends crackdown points.

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