• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2000년도 하계종합학술대회논문집
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• pp.269-272
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• 2000

It is need to develop and apply a human pulse diagnosis system providing a quantitative and automatic analysis in the the oriental medicine. In order to analyze quantitatively the characteristic of pulsation, each of points had to be recognized accurately notifying the existence and the position of feature point in the wave form. And getting the period of human pulse. Thus, in this paper, it is proposed the preprocessing method of human pulse and the detection method of period by Wavelet Transformation. The human pulse is seprated from each band through Wavelet Transformation and feature points can be recognized through over the fact, and then the parameter of proposed Mac-Jin parameter is measured. Commonly, Human pulse signal has often various noises which are baseline drift, high frequency noise and so on. So it is significant to remove that noises. Thus, in this paper, the one period of human pulse is deciede and the feature points are detected after doing the preprocessing by wavelet transformation. As a result, it could be confirmed that this method is effective as a real program for the auto-diagnosis of human pulse.

• 기본간호학회지
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• 제17권2호
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• pp.149-158
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• 2010

Purpose: This study was done to gain understanding of what career and related experience mean to individuals undergoing hemodialysis. Methods: Ten male patients receiving hemodialysis participated in the study. Data collection took place between November 18, 2008 and February 10, 2010, via unstructured interviews. Data collection and analysis were conducted simultaneously, and Colaizzi's phenomenological method (1978) was used for the analysis. Results: The significance the participants found in their "dual" life as worker and dialysis patients was classified into five categories: 'Recognition of self-existence value', 'My health comes before my work', 'Being afraid of stigma', 'Limitation of restricted work', and 'Difficulty with time management.' Conclusion: It was found that the dialysis patients showed ambivalent feelings towards their careers, hoping they will be able to continue to work yet fearing that the continued work might break balance the between their livelihood and healing. Therefore, it is recommended that hours for hemodialysis be more flexible to ensure that patients can keep their jobs and better manage their time while undergoing treatment.

• 지식경영연구
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• 제10권3호
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• pp.1-16
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• 2009

Recent trends in business are characterized by recognition of the importance of knowledge assets. Especially, this phenomenon is receiving more momentum as our society goes digital rapidly. The concept of Knowledge Management has long been used as an effective way of restructuring the management process of a firm. In literature regarding knowledge management, a number of successful cases were reported, where knowledge-based management activities could dramatically enhance a firm's strategic performance for years. However, there exists very little research investigating the effect of knowledge management on corporate competitiveness. Researchers as well as practitioners need more rigorous results about such issues, especially how much the knowledge management strategic initiatives may have an influence on the firm's competitiveness. In this sense, we need an empirical study adopting statistical approaches due to the existence of abundant knowledge management case studies. To fill this research void, this study proposes a research model testing whether knowledge management activities could improve corporate competitiveness. We collected 321 valid questionnaires from participants in knowledge management activities in the tourism industry and applied a structural equation model. Empirical results showed that knowledge management activities have a positive impact on knowledge management efficiency and finally corporate competitiveness. We hope that this study will shed light on further rigorous studies considering tourism industry as a major strategic activity.

• 방송공학회논문지
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• 제24권2호
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• pp.353-356
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• 2019

점유센서의 주요 기능은 공간에 사람이 존재하는지를 결정하는 것이다. 사람이 있으면 점등하고, 반대이면 소등하게 된다. 모션 검출, 객체 추적 등의 방법이 있지만, 본 레터에서는 이 기능의 구현에 컬러를 활용한다. 사람의 컬러정보를 이용하여 입실하는 사람들의 정보를 저장하고, 퇴실하면 저장된 컬러정보와 비교하여 퇴실하는 사람을 인식하는 기법이다. 4가지 유사성 메트릭을 이용하여 성능을 검증하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2009년도 추계학술대회 논문집
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• pp.99-105
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• 2009

Crack detection method of a rotating blade was suggested in this paper. A rotating blade was modeled with a cantilever beam connected to a hub undergoing rotating motion. The existence and the location of crack were able to be recognized from the vertical response of end tip of a rotating cantilever beam by employing Discrete Hidden Markov Model (DHMM) and Empirical Mode Decomposition (EMD). DHMM is a famous stochastic method in the field of speech recognition. However, in recent researches, it has been proved that DHMM can also be used in machine health monitoring. EMD is the method suggested by Huang et al. that decompose a random signal into several mono component signals. EMD was used in this paper as the process of extraction of feature vectors which is the important process to developing DHMM. It was found that developed DHMMs for crack detection of a rotating blade have shown good crack detection ability.

• 한국도서관정보학회지
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• 제45권1호
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• pp.197-215
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• 2014

이 연구는 공공도서관이 사회자본을 창출한다는 이론적 배경을 토대로 이용자들의 인식치에 대한 측정을 실시하였다. 또한 사회자본 요인들 간의 경로에 대한 구조모형을 설정하여 이에 대한 인과관계를 밝혔다. 이용자들의 사회자본 창출의 인식치는 지역사회에서 공공도서관의 존재가치와 지속가능성에 대한 표현이다. 도서관이 창출한 사회자본은 개인 및 지역공동체에 대한 다양한 혜택과 사회적 영향으로 나타남을 밝혔다. 이 연구의 결과는 공공도서관 평가에 긍정적인 영향을 미칠 것이다.

• 제어로봇시스템학회논문지
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• 제11권12호
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• pp.1020-1026
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• 2005

In the era of ubiquitous computing, human-friendly man-machine interface is getting more attention due to its possibility to offer convenient services. For this, in this paper, we introduce a 'Half-Mirror Interface System (HMIS)' as a novel type of human-friendly man-machine interfaces. Basically, HMIS consists of half-mirror, USB-Webcam, microphone, 2ch-speaker, and high-speed processing unit. In our HMIS, two principal operation modes are selected by the existence of the user in front of it. The first one, 'mirror-mode', is activated when the user's face is detected via USB-Webcam. In this mode, HMIS provides three basic functions such as 1) make-up assistance by magnifying an interested facial component and TTS (Text-To-Speech) guide for appropriate make-up, 2) Daily weather information provider via WWW service, 3) Health monitoring/diagnosis service using Chinese medicine knowledge. The second one, 'display-mode' is designed to show decorative pictures, family photos, art paintings and so on. This mode is activated when the user's face is not detected for a time being. In display-mode, we also added a 'healing-window' function and 'healing-music player' function for user's psychological comfort and/or relaxation. All these functions are accessible by commercially available voice synthesis/recognition package.

• 한국지구과학회지
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• 제21권3호
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• pp.250-257
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• 2000

충북 보은군 임곡리의 시추 표품(90-B-1)에서 Pseudoschwagerina paraborealis 와 Quasifusulina sp.를 기재하였으며, 이에 근거하여 Pseudoschwagerina대를 설정하였다. Pseudoschwagerina paraborealis는 영월 탄전의 밤치층에서 보고되었고 유라시아 대륙의 아셀리안과 사크마리안 지층에서 다수 기재된 바 있다. 보은 탄전에서 Pseudoschwagerina paraborealis 가 산출되는 것은 영월탄전의 밤치층과 대비되는 지층이 보은 탄전에서도 존재한다는 증거이다. 이 방추충과 함께 같은 층준에서 Quasifusulina sp.가 산출된다. 보은 탄전에서 전기 고생대의 방추충 종을 동정하여 발표하는 것은 이번이 처음이다.

• 로봇학회논문지
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• 제7권2호
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• pp.92-100
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• 2012

A map of complex environment can be generated using a robot carrying sensors. However, representation of environments directly using the integration of sensor data tells only spatial existence. In order to execute high-level applications, robots need semantic knowledge of the environments. This research investigates the design of a system for recognizing objects in 3D point clouds of urban environments. The proposed system is decomposed into five steps: sequential LIDAR scan, point classification, ground detection and elimination, segmentation, and object classification. This method could classify the various objects in urban environment, such as cars, trees, buildings, posts, etc. The simple methods minimizing time-consuming process are developed to guarantee real-time performance and to perform data classification on-the-fly as data is being acquired. To evaluate performance of the proposed methods, computation time and recognition rate are analyzed. Experimental results demonstrate that the proposed algorithm has efficiency in fast understanding the semantic knowledge of a dynamic urban environment.

• 제어로봇시스템학회논문지
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• 제22권12호
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• pp.1053-1060
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• 2016

As location recognition for autonomous vehicles develops, the need for a precise map for autonomous driving has increased. A precise map must be built based upon accurate position. Recent studies have accelerated research in this area by using various sensors that calculate the accurate position by comparing and recognizing objects around the roads. However, application of such methods is limited because these studies only take objects with significant verticality into consideration. Thus, new research is needed to overcome the limitations: a method that is not constrained by the existence of certain types of surrounding objects shall be proposed. Most roads contain road marking information, such as lanes, direction signs, and pedestrian crossings. Such information on the road surface is a valuable resource for building a precise map. This paper proposes a method of building a precise map by using road marking information.