• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.39-42
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• 2009

4 세대 모바일폰은 카메라, MP3, 블루투스, DMB, 전자수첩, PC, 웹브라우징의 복합 기능을 가진 제품으로 진화하고 있으며, 이를 위한 사용자의 요구와 경험디자인의 요소를 탐색하고 분석하는 것이 요구된다. 하지만 기존의 사용자 요구의 조사와 경험디자인은 많은 비용과 시간을 투입하고도 기존 요구의 재확인에 머물거나, 제한적이고 예측 가능한 결과만을 도출하는 문제점을 가지고 있어 창의적 디자인 아이디어 도출에는 한계를 가지고 있다. 이는 사용자의 선정과 분석의 방법이 마케팅 중심의 통계적 방법에 기초하고 있으며, 사용자의 선정에 분석의 결과가 좌우되기 때문이다. 본 연구는 창의적 경험디자인의 방법으로서 1% 이미지 추출의 작업과 국내외 커뮤니티 사이트를 중심으로 한 디지털 포켓리서치의 방법을 활용하였나 2차 사용자 조사는 '1% UX 리서치'로 명명한 극단적 사용자 분석의 방법을 개발하고 적용하였으며, 주요 디자인 요구와 암시점은 K-J 매트릭스를 통하여 체계화하였다. 디지털포켓리서치와 1% 사용자의 리서치의 방법론은 근 미래의 사용자 예측과 풍부한 경험디자인의 아이디어를 발상할 수 있다는 측면에서 기존의 방법론 보다 비용과 시간 측면에서 효율적으로 활용할 수 있었다.

• Annual Conference of KIPS
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• 2000.10b
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• pp.867-870
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• 2000

영상에서 나타난 컬러 정보를 이용해 검색을 수행하고자 하는 연구 방법에서 일반적으로 적용되어 사용되어진 방법 중 하나로 컬러 히스토그램의 유사성을 이용한 매핑을 들 수 있다. 이 방법의 장점은 쉽게 영상에서 나타난 컬러 정보를 그룹화하여 매핑 할 수 있게 해주나, 전체 영상에서 나타난 컬러의 양 정보만을 제공할 뿐, 각각의 컬러에 대한 공간적 정보를 제공하지는 못한다. 즉, 동일한 컬러가 한 곳에 집중해서 나타난 영상과 분산되어 나타난 영상이 동일한 컬러 정보로 매핑되므로 원치 않는 검색 결과를 얻게 된다. 이러한 문제점을 해결하기 위해 기존의 방법은 컬러 히스토그램에서 얻어진 컬러 정보와 별개의 공간 정보 추출 알고리즘을 통해 얻어진 정보를 결합(fusion) 하여 문제를 해결하였다. 본 연구에서는 이러한 단점을 해결하기 위해 각각의 히스토그램의 빈(bin)들에 컬러에 대한 양 정보만이 아니라 컬러의 중심점과 분산 값 정보를 구하여 이를 영상 검색을 위한 매핑 정보로 사용한다.

• Journal of The Korean Association For Science Education
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• v.21 no.2
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• pp.342-356
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• 2001

Integrated science for high school is required in the present Korean National Sixth Curriculum and the Seventh Curriculum which will be effective in 2002. Currently, most science teachers in secondary school have concerns about teaching integrated science subjects and this continues to raise a significant problem for practical implementation of integrated science education in schools. In this paper, we discuss two reasons for these concerns that our analysis revealed: 1) Science teachers do not understand how to implement integrated science education and 2) there are insufficient teaching-learning materials supporting integrated science. Three different approaches to integration that have been suggested to overcome the problem of implementation are outlined here. They are the knowledge centered, social problem centered, and individual interest centered approaches. Reported here are the first two steps we undertook in preparation for testing the relative effectiveness of these approaches. First, we analyzed the content of the Korean Sixth and Seventh National Science Curricula, seven Korean integrated science text books, the American National Science Education Standards, and the American Association for the Advancement of Science Benchmarks looking for common themes. We identified in the analyzed materials the common themes: energy conservation, energy transformation, energy transport, energy degradation. We then used their energy related content to organize sets of concept structures, one set for each of the three approaches. These concept structures will provide the foundations for the development of integrated teaching-learning energy plans to be used in our research into the effectiveness of the approaches.

• Journal of Korea Port Economic Association
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• v.32 no.1
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• pp.79-95
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• 2016

This study identifies themes and trends in maritime economics and logistics by examining 303 papers published in international journals from 2000 to 2014 using keyword network analysis. Network analysis can be used because the collected data follow Zipf's law and the power law. Utilizing the degree centrality and betweenness centrality, we find the important keywords in each five year period and determine the importance of shared keywords. To further explain keyword centralities, we invented a Delta-C algorithm to show the trends of keywords over time. We found that degree centrality is useful for identifying important research themes in each period because it is mainly concerned with the number of connections. On the other hands, betweenness centrality is useful to determine the unique themes that emerge in each of the specific periods.

• Journal of Service Research and Studies
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• v.11 no.2
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• pp.95-105
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• 2021

The purpose of this study is to improve the accuracy of service satisfaction by utilizing KSC (Kano, Score Model, Concept Position) analysis methods in order to present various fitness center service models for healthy new silver generation centered on P fitness center which runs six branches in Busan. Double Diamond-based methods led to a case study focused on the P fitness center's Yeon-san branch which well leading in a wide variety of leisure infrastructures for the senior citizens. Throughout this study, based on the insights extracted from the customers were culminating in nine service design models from the perspective of administrators and trainers. The final derived nine models have been evaluated by Kano's satisfaction evaluation, Concept score, and Concept position evaluation. All of the nine models results indicated as valid except for models 3 and 6. Finally, an implementation roadmap was proposed by dividing it into investment cost and effectiveness.

• Annual Conference on Human and Language Technology
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• 1998.10c
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• pp.222-229
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• 1998

본 논문에서는 X-바 이론을 한국어에 적용하여 서로 다른 범주들간의 구조적 일반성을 파악하고, 한국어에 가능한 규칙만을 허용하여 불가능한 규칙을 배제시킬 수 있는 틀을 제시하고자 한다. 한국어가 비중심어간 어순이 자유롭고 기능어가 발달했다는 점을 고려하여, 중심어와 보충어 관계 중심의 기존 X-바 이론을 통사적 파생과 의미적 파생, 수식 및 하위범주의 관계를 중심으로 변형한다. 또한, 한국어의 빈번한 생략현상과 부분 자유 어순에 효과적으로 대응할 수 있도록 이진결합 중심의 CNF(Chomsky Normal Form)를 따른다. 제안하는 자질기반의 한국어 구구조 문법은 직관적이고 간단하면서도 대부분의 문장을 처리할 수 있을 만큼 표현력이 뛰어나다는 장점이 있다. 신문기사에서 454문장을 추출하여 실험한 결과, 약 97%의 문장에 대해 올바른 구문 분석 결과를 생성할 수 있음을 보였다.

• Korean Journal of Food Science and Technology
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• v.28 no.3
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• pp.411-416
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• 1996

Supercritical fluid extraction of ${\beta}$-carotene from carrot was optimized to maximize ${\beta}$-carotene (Y) extraction yield. A central composite design involving extraction pressure ($X_1$ 200-,100 bar), temperature ($X_2,\;35-51^{\circ}C$) and time ($X_1$$ 60-200min) was used. Three independent factors ($X_1,\;X_2,\;X_3$) were chosen to determine their effects on the various responses and the function was expressed in terms of a quadratic polynomial equation,$Y={\beta}_0+{\beta}_1X_1+{\beta}_2X_2+{\beta}_3X_3+{\beta}_11X_12+{\beta}_22X_3^2+{\beta}_-12X_1X_2+{\beta}_12X_1X_2+{\beta}_13X_1X_3+{\beta}_23X_2X_3,$ which measures the linear, quadratic and interaction effects. Extraction yields of ${\beta}$-carotene were affected by pressure, time and temperature in the decreasing order, and linear effect of tenter point (${\beta}_11$) and pressure (${\beta}_1$) were significant at a level of 0.001(${\alpha}$). Based on the analysis of variance, the model fitted for ${\beta}_11$-carotene (Y) was significant at 5% confidence level and the coefficient of determination was 0.938. According to the response surface of ${\beta}$-carotene by cannoical analysis, the stationary point for quantitatively dependent variable (Y) was found to be the maximum point for extraction yield. Response area for ${\beta}$-carotene (Y) in terms of interesting region was estimated over $10,611{\mu}g$ Per 100 g raw carrot under extraction.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.27-29
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• 2007

The visual implementation of 3-dimensional national environment is focused by the requirement and importance in the fields such as, national development plan, telecommunication facility deployment plan, railway construction, construction engineering, spatial city development, safety and disaster prevention engineering. The currently used DEM system using contour lines, which embodies national geographic information based on the 2-D digital maps and facility information has limitation in implementation in reproducing the 3-D spatial city. Moreover, this method often neglects the altitude of the rail way infrastructure which has narrow width and long length. There it is needed to apply laser measurement technique in the spatial target object to obtain accuracy. Currently, the LiDAR data which combines the laser measurement skill and GPS has been introduced to obtain high resolution accuracy in the altitude measurement. In this paper, we first investigate the LiDAR based researches in advanced foreign countries, then we propose data a generation scheme and an algorithm for the optimal manage and synthesis of railway facility system in our 3-D spatial terrain information. For this object, LiDAR based height data transformed to DEM, and the realtime unification of the vector via digital image mapping and raster via exactness evaluation is transformed to make it possible to trace the model of generated 3-dimensional railway model with long distance for 3D tract model generation.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.4
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• pp.306-310
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• 2002

In this paper, we realized a system that converts the Korean alphabet (Hangul) images, which are in any domain that is formed by the finger movement on the Hangul document, to the editable characters and then outputs them to the word editor. The domain of hand is separated from the sphere of document in the pre-process step of image. The centroid point of hand is drawn by the maximum circular movement method. After the system recognizes the hand with the circular pattern vector algorithm, finds out the position of finger by the distance spectrum and then draws out the sphere of selected character image by the finger movement to divide the characters into character units by applying the histogram between the Hangul characters. We standardized the characters of various sizes. We used the circular pattern vector algorithm that grafts on the fuzzy inference to divert the character images of the domain, which user wants, to the editable characters by comparing the characteristic vectors between the standard pattern character and the inputted character and by recognizing the character.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.27-34
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• 2010

This paper proposes an efficient method for verifying palmprint which is captured at the natural interface without any physical restriction. The location and orientation of the region of interest (ROI) in palm images are variously appeared due to the translation and rotation of hand. Therefore, it is necessary to extract the ROI stably for palmprint recognition. This paper presents a method that can extract the ROI, which is based on the reference points that are located at the center of the crotch segments between index finger and middle finger and between ring finger and little finger. It also proposes a palmprint recognition method using the histogram of local binary patterns (LBP). Experiments for evaluating the performance of the proposed method were performed on 1,597 palmprint images acquired from 100 different persons. The experimental results showed that ROI was correctly extracted at the rate of 99.5% and the equal error rate (EER) and the decidability index d' indicating the performance of palmprint verification were 0.136 and 3.539, respectively. These results demonstrate that the proposed method is robust to the variations of the translation and rotation of hand.