• 한국주거학회:학술대회논문집
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• 한국주거학회 2002년도 추계학술발표대회
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• pp.137-142
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• 2002

The purpose of this study was to examine the features that make residents feel “at home” in ALFs in Southwest Virginia and to suggest further policy and design guidelines for better Quality of ALFs as a “home.” For this purpose, residents' needs, experiences, and opinions of the physical environment, the social environment, and the organizational environments such as policies and programs of ALFs were identified. As a multi-case study, five ALFs in Southwest Virginia were studied using constant comparative methos of data analysis. In addition to face-to-face interviews with 25 residents and five administrators of five ALFs, observations were conducted with personal journal. Overall, the five sites selected presented homelike features showing the philosophy of assisted living which combines housing and services. Each facility was designed to be a single-family house or multi-family dwelling in outside appearance. As a whole, residents felt isolation and loneliness and they did not have active interaction with other residents because of diverse background among the residents. However, all of them had close relationships with the staff. The staff's attitude and behavior seemed to influence greatly the residents' feeling “at home.” Despite the provision of diverse activities by the facilities, many residents did not participate in the programs. Most of the residents agreed that the rule and regulations were fair. In spite of high satisfaction with the facility, many people did not think of their current dwelling as a real ‘home.’ As the biggest difference between living in their own homes and living in the ALF, people pointed out a lack of independence, freedom, and autonomy. Residents of ALFs may have reordered their priorities in their current life situation so that safety, security, and care were more important to them than feeling “at home.” Among the three factors --physical, social, and organizational-- that affect the residents' perception of ALFs as a “home, ” many emphasized the importance of social factors such as relationships with the staff and residents, and social support from their family or friends.

• IEIE Transactions on Smart Processing and Computing
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• 제6권1호
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• pp.21-26
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• 2017

In this paper, we suggest an automated sleep scoring method using machine learning algorithms on accelerometer data from a wristband device. For an experiment, 36 subjects slept for about eight hours while polysomnography (PSG) data and accelerometer data were simultaneously recorded. After the experiments, the recorded signals from the subjects were preprocessed, and significant features for sleep stages were extracted. The extracted features were classified into each sleep stage using five machine learning algorithms. For validation of our approach, the obtained results were compared with PSG scoring results evaluated by sleep clinicians. Both accuracy and specificity yielded over 90 percent, and sensitivity was between 50 and 80 percent. In order to investigate the relevance between features and PSG scoring results, information gains were calculated. As a result, the features that had the lowest and highest information gain were skewness and band energy, respectively. In conclusion, the sleep stages were classified using the top 10 significant features with high information gain.

• 한국과학교육학회지
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• 제13권2호
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• pp.152-162
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• 1993

The high school students' problem solving patterns and their features in scientific inquiry, especially on controlling variables and stating hypothesis have been investigated. The 8 problems on controlling variables and stating hypothesis were selected out of the scientific inquiry area in the experimental tryout of Aptitude Assessment for College Education, and had been used to find the patterns and their features. The results of findings are as follows: There were seven patterns in the process of solving problems. Five of seven patterns were found in right answers and four patterns in wrong answers. Two patterns were found in both right and wrong answers. Some students could solve the problems even though they did not understand the elements of the scientific inquiry, controlling variables and stating hypothesis. The false application of physics concepts, misunderstanding about the elements of the scientific inquiry and using unrelated experience and conjectures were the features of students' wrong answers. On the other hand, the right application of physics concepts, understanding and applying the elements right, infering answers from the tables and figures on statements of suggested problems were the features of right answers. The further studies on this kind may helpful to find the higher mental abilities related to scientific inquiry and to develop tools for testing students' scientific inquiry thinking skills.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2005년도 춘계학술발표대회 논문집
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• pp.106-109
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• 2005

The awareness of ecological friendliness has been emerging in the recent years, and the application to housing is quite notable. The purpose of this study was to examine multi-family housing that has recently developed with the idea of ecological friendliness, and to investigate the residents' attitudes toward and their preferences for the features. The research utilized in-depth interviews and site visits, and seven residents in the studied housing developments participated in the study. The analytical tool used in the interview was reviewed by a panel of professionals and included five aspects of ecologically friendliness: residential comfort, energy saving, open housing, storage, and safety and security. The respondents pointed out that south-facing housing in relation to residential comfort was most favorable. With regard to energy-saving, water-saving features and dehydrator of food waste were most needed features. As for open housing-related features, flexibility in spatial configuration was necessary, and efficient storage was regarded as important. Also, the respondents mentioned the preference for flooring preventing slippery in bathroom for the safety of family member.

• 한국멀티미디어학회논문지
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• 제11권6호
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• pp.860-868
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• 2008

Human detection techniques in outdoor scenes have been studied for a long time to watch suspicious movements or to keep someone from danger. However there are few methods of human detection in overhead or near-field view scenes, while lots of human detection methods in far-field view scenes have been developed. In this paper, a set of five features useful for human detection in overhead view scenes and another set of four useful features in near-field view scenes are suggested. Eight feature-candidates are first extracted by analyzing geometrically varying characteristics of moving objects in samples of video sequences. Then highly contributed features for each view scene to classifying human from other moving objects are selected among them by using a neural network learning technique. Through experiments with hundreds of moving objects, we found that each set of features is very useful for human detection and classification accuracy for overhead view and near-field view scenes was over 90%. The suggested sets of features can be used effectively in a PTZ camera based surveillance system where both the overhead and near-field view scenes appear.

• 복식문화연구
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• 제29권1호
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• pp.65-86
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• 2021

This study aims to develop a hanbok design method in response to recent changes in consumption trends that emphasize new aesthetic and cultural values, which contrast with the existing cultural order and repetitive normative styles in fashion designing. With this in mind, our study explores the main features of deconstruction fashion design as a theoretical guide for developing a methodology for deconstruction hanbok design, on the basis of which new, experimental and creative hanbok design works can be produced. To do this, we first investigate current trends in hanbok design and changing concepts of Korean fashion design through literature review of previous studies. Secondly, we explore deconstructionism and analyze its features to lay down the foundation for a post-modern approach in hanbok design. As the result of analysis, the main features of deconstruction fashion design are summarized as the following: 1) non-finishing, 2) decomposing and recomposing, 3) recycling, 4) transparent, 5) grunge, 6) flattening, and 7) exaggeration. Based on the identified core features of deconstruction fashion design, we develop a creative method of hanbok design in the context of modern Korean fashion design. Finally, we show five design outputs via a 3D digital fashion design process using the CLO3D software program.

• 대한상한금궤의학회지
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• 제15권1호
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• pp.53-84
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• 2023

Objective : The purpose of this study is to explore the therapeutic potential of Shanghanlun for neuropsychiatric disorders through a comparative review of five neuropsychiatric disorder cases diagnosed with Greater yin disease pattern/syndrome (太陰病). Methods : We collected and compared five neuropsychiatric cases diagnosed and treated with Greater yin disease pattern/syndrome (太陰病) from four korean medicine clinics. Clinical symptoms common to the five cases were analyzed by connecting them with Shanghanlun provision 273 and 279. Results : In all five cases, the improvement of chief complaints and decrease in general anxiety were observed after administration of Gyejigajakyak-tang (桂枝加芍薬湯) and Gyejigadaehwang-tang (圭支加大黃湯). In addition, neuropsychiatric symptoms and physical symptoms that are mentioned in Shanghanlun provision 273 and 279 were confirmed in all five cases. Conclusions : We not only reconfirmed that the core features of Greater yin disease pattern/syndrome(太陰病) proposed in previous studies; zi-tong (自痛), yin-er (因爾), jie-ying (結硬), but also that the physical symptoms associated with fu-man (腹満), tu (吐) and zi-li (自利) were common in the presenting symptoms and past histories of the five patients.

• 한국지리정보학회지
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• 제8권3호
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• pp.84-95
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• 2005

본 논문은 가시권역의 최대화를 만족하는 가시권 분석에 있어 지형요소가 어떻게 이용될 수 있으며 이러한 최적 다중 가시점 탐색 문제에 있어 지형요소의 이용이 얼마나 효과적인지를 살펴보는 연구이다. 이를 위하여 다양한 지형상태를 반영하는 지역의 DEM 자료와 각 DEM자료에 대한 지형요소 (peak, pass, pit)의 특정을 반영한 여섯 종류의 탐색방법을 제시하고 전통적인 공간 휴리스틱 (spatial heuristic)과의 비교 분석 (계산 시간과 총 가시권역 크기)을 통해서 지형요소를 이용한 방법의 효율성과 적용 가능성을 살펴보았다. 연구결과로써, 가시구역의 중복을 최소화하기 위해 제시된 버퍼링을 이용한 방법의 경우, 비록 공간 휴리스틱 방법에 비해 적은 가시구역 면적을 제시하였지만, 컴퓨팅 시간적인 측면에서 많은 이점을 제공하고 있음을 볼 수 있다. 또한 연구지역의 DEM상의 각각의 개별 그리드 셀을 대상으로 전체 DEM에 대해 계산된 가시구역을 이용한 방법의 경우, 비록 부가적인 계산 시간이 소요됨에도 불구하고 단순한 지형요소를 이용한 방법보다 향상된 분석 결과를 제시하였음을 알 수 있다.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 2000년도 제31회 춘계학술대회
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• pp.54-61
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• 2000

A method and results of classification of 4 types metallic wear debris were presented by using their color features. The color image of wear debris was used (or the initial data, and the color properties of the debris were specified by HSI color model. Particle was characterized by a set of statistical features derived from the distribution of HSI color model components. The initial feature set was optimized by a principal component analysis, and multidimensional scaling procedure was used for the definition of classification plane. It was found that five features, which include mean values of H and S, median S, skewness of distribution of S and I, allow to distinguish copper based alloys, red and dark iron oxides and steel particles. In this work, a method of probabilistic decision-making of class label assignment was proposed, which was based on the analysis of debris-coordinates distribution in the classification plane. The obtained results demonstrated a good availability for the automated wear particle analysis.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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• pp.137-140
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• 1996

Finding line segments in an intensity image has been one of the most fundamental issues in computer vision. In complex scenes, it is hard to detect the locations of point features. Line features are more robust in providing greater positional accuracy. In this paper we present a robust "line features extraction" algorithm which extracts line feature in a single pass without using any assumptions and constraints. Our algorithm consists of five steps: (1) edge scanning, (2) edge normalization, (3) line-blob extraction, (4) line-feature computation, and (5) line linking. By using edge scanning, the computational complexity due to too many edge pixels is drastically reduced. Edge normalization improves the local quantization error induced from the gradient space partitioning and minimizes perturbations on edge orientation. We also analyze the effects of edge processing, and the least squares-based method and the principal axis-based method on the computation of line orientation. We show its efficiency with some real images.al images.