• Journal of the Institute of Convergence Signal Processing
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• v.7 no.2
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• pp.73-80
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• 2006

Fingerprint-based verification system has been used for a very long time. Because of their well-known uniqueness and immutability, fingerprint is one of the most widely used biometric features. However, fingerprint identification system has such a critical weakness that the performance of verification is reduced drastically for a poor input fingerprint. In this paper, an image enhancement algorithm using enhanced direction and enhanced binary and aiming image is used to mitigate the problem in the preprocessing. The goal of image enhancement is to estimate the quality of input fingerprint image and to improve the clarity of ridge and valley structures of input fingerprint image. Also, a ridge orientation extraction method using index table is proposed to improve the speed of verification. It is shown by the experiments that proposed fingerprint verification system improves the minutiae extraction accuracy and performance of verification.

• Journal of radiological science and technology
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• v.28 no.1
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• pp.19-24
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• 2005

The purpose of this study was to design and implement a useful annotation-based Radiological image retrieval system to accurately determine on education and image information for Radiological technologists. For better retrieval performance based on large image databases, we presented an indexing technique that integrated $B^+-tree$ proposed by Bayer for indexing simple attributes and inverted file structure for text medical keywords acquired from additional description information about Radiological images. In our results, we implemented proposed retrieval system with Delphi under Windows XP environment. End users, Radiological technologists, are able to store simple attributes information such as doctor name, operator name, body parts, disease and so on, additional text-based description information, and Radiological image itself as well as to retrieve wanted results by using simple attributes and text keywords from large image databases by graphic user interface. Consequently proposed system can be used for effective clinical decision on Radiological image, reduction of education time by organizing the knowledge, and well organized education in the clinical fields. In addition, It can be expected to develop as decision support system by constructing web-based integrated imaging system included general image and special contrast image for the future.

• Journal of the Korean Institute of Landscape Architecture
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• v.38 no.4
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• pp.75-83
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• 2010

College campus landscape plans once focused mainly on campus functionality and aesthetically pleasing buildings. Yet now, after the rise of greater emphasis on afforestation and eco-friendly planning, building spaces for the local culture and community has become the core of the plan. This study analyzed the design strategies and details of the landscape plan that was selected through the contest to select a design plan for the cultural park at Sunchon National University. The key considerations for the landscape Design for the cultural space at Sunchon National University areas follows. First, the design plan sought ways to reach out to the local community, going one step beyond just opening up campus facilities. This means more than just the opening of physical facilities and environments. It was designed to serve as a base to organize diversified programs by generations and groups with an aim to share the history and culture of the college, the local community and the region. Second, shapes and colors were designed to establish a unified image between buildings and outdoor facilities. "Three Books" was selected as the key motif as books were believed to be the most representative symbol of colleges while 6 straight lines, hexagons and circles inspired by the shape of three books were used in the design. In terms of colors, reddish-brown was used for buildings to enhance visibility along with harmony and esthetic appreciation. For facilities, black and blue were used as dominant colors and white and yellow as point colors to promote the image of Sunchon City. Third, with an aim to overcome the limitation of the overall college campus as a closed space, it was designed to be a barrier-free space, remaining open to everyone and encouraging visits and experiences for active communication with the local community.

• Trans-
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• v.12
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• pp.51-79
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• 2022

This study investigates the methods for deriving colors which can serve as a reference to users such as designers and or contents creators who search for online images from the web portal sites using specific words for color planning and more. Two experiments were conducted in order to accomplish this. Digital scenery photos within the geographic scope of Korea were downloaded from web portal sites, and those photos were studied to find out what colors were used to describe daytime and nighttime. Machine learning was used as the study methodology to classify colors in daytime and nighttime, and KSCA was used to derive the color frequency of daytime and nighttime photos and to compare and analyze the two results. The results of classifying the colors of daytime and nighttime photos using machine learning show that, when classifying the colors by 51~100%, the area of daytime colors was approximately 2.45 times greater than that of nighttime colors. The colors of the daytime class were distributed by brightness with white as its center, while that of the nighttime class was distributed with black as its center. Colors that accounted for over 70% of the daytime class were 647, those over 70% of the nighttime class were 252, and the rest (31-69%) were 101. The number of colors in the middle area was low, while other colors were classified relatively clearly into day and night. The resulting color distributions in the daytime and nighttime classes were able to provide the borderline color values of the two classes that are classified by brightness. As a result of analyzing the frequency of digital photos using KSCA, colors around yellow were expressed in generally bright daytime photos, while colors around blue value were expressed in dark night photos. For frequency of daytime photos, colors on the upper 40% had low chroma, almost being achromatic. Also, colors that are close to white and black showed the highest frequency, indicating a large difference in brightness. Meanwhile, for colors with frequency from top 5 to 10, yellow green was expressed darkly, and navy blue was expressed brightly, partially composing a complex harmony. When examining the color band, various colors, brightness, and chroma including light blue, achromatic colors, and warm colors were shown, failing to compose a generally harmonious arrangement of colors. For the frequency of nighttime photos, colors in approximately the upper 50% are dark colors with a brightness value of 2 (Munsell signal). In comparison, the brightness of middle frequency (50-80%) is relatively higher (brightness values of 3-4), and the brightness difference of various colors was large in the lower 20%. Colors that are not cool colors could be found intermittently in the lower 8% of frequency. When examining the color band, there was a general harmonious arrangement of colors centered on navy blue. As the results of conducting the experiment using two methods in this study, machine learning could classify colors into two or more classes, and could evaluate how close an image was with certain colors to a certain class. This method cannot be used if an image cannot be classified into a certain class. The result of such color distribution would serve as a reference when determining how close a certain color is to one of the two classes when the color is used as a dominant color in the base or background color of a certain design. Also, when dividing the analyzed images into several classes, even colors that have not been used in the analyzed image can be determined to find out how close they are to a certain class according to the color distribution properties of each class. Nevertheless, the results cannot be used to find out whether a specific color was used in the class and by how much it was used. To investigate such an issue, frequency analysis was conducted using KSCA. The color frequency could be measured within the range of images used in the experiment. The resulting values of color distribution and frequency from this study would serve as references for color planning of digital design regarding natural scenery in the geographic scope of Korea. Also, the two experiments are meaningful attempts for searching the methods for deriving colors that can be a useful reference among numerous images for content creator users of the relevant field.

• Journal of the Korean Society of Costume
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• v.23
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• pp.25-43
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• 1994

앙드레 꾸레쥬는 자신의 디자인에 건축적 조형미를 표현한 대표적인 디자이너이다. 그의 디자인들은 라인 뿐 아니라 색채, 소재, 액세서리에 이르기까지 건물을 짓듯이 설계, 구성되어 있다. 최근 복식미의 건축적 조형성이 강조되고 있는 것을 감안할 때, 60년대 이미 선구자적인 역할을 하면서 자신의 건축가적인 기호를 유감없이 발휘해온 꾸레쥬를 연구한다는 것은 21세기를 향한 패션의 발전 측면에서 조금이라도 의미가 있지 않을까 생각한다. 본 연구에서는 앙드레 꾸fp쥬가 가장 활발히 활동했던 1974년에서 1970년까지 그의 디자인들을 집중 연구하였는데, 그의 패션디자인에 건축양식의 특징들이 어떻게 나타났는지에 연구의 초점을 맞추었다. 본 연구의 대상으로 사용된 실제의 옷 샘플들은 뉴욕 메트로폴리탄 예술박물관내의 Costume Institute Storage 에 있는 의복과 액세서리들을 직접, 관찰 , 분석한것이고 그 박의 사진들은 패션과 건축에 관한 서적과 잡지, 박물관내의 Slide Library , 그리고 Costume Institute Library Collection에서 발췌 , 비교 연구한 것이다. 일찍이 엔지니어링과 건축을 공부했던 앙드레 꾸레쥬는 50년대의 패션 디자이너의 거장 발렌시아가 밑에서 10년 넘게 일하다가 독립하였는데 그의 디자인 세계는 줄곧 여성들이 입고 편히 활동 할 수 있는 기능성을 강조하면서 단순하고 편안한 의복 구성에 중점을 두었다. 그리고 그는 이러한 자신의 패션 철학과 의복제작 과정들은 현대건물이 갖는 단순성, 기능성의 특징과 일치한다고 믿었다. A. 라인(Line) 앙드레 꾸레쥬는 패션 디자인에서의 비레는 건축에서구조를 쌓아가는 것과 같은 것이라고 생각하고 옷에서의 기본 구성을 기하학적인 라인에 두었다. 그래서 그의 옷들은 A-라인, 사각형, 사다리꼴,,, 등의 분명한 실루엣을 이루고 있는데 이러한 기본라인을 뒷받침이라도 하듯 소매가 아주 짧거나 없는 것이 특징이다. 황금분할이 아닌 1 : 1 구성은 그가 독특하게 사용한 비례방법의 하나인데 그것은 자켓과 스커트의 길이비례, 요크와 몸판간의 면적비례 등에서 잘 나타나고 있다. 그리고 그는 , 의복구성의 비례를 강조하기 위해 사용한 강한 색상의 대비를 현대건물의 인테리어에 빛을 사용하는 것과 같은 이치라고 설명한다. B.색상(Color) 흰색은 그러한 그의 비례강조 의복에 가장 적절한 색으로 사용되었다. 그는 빨강, 오렌지, 녹색, 분홍등 강렬한 원색을 사용하였는데도 불구하고 흰색은 그의 건축양식 발상의 Ideo를 완성시키는 완전한 색이었다. 뜨거운 날씨에 흰색이 가장 기능적인 색인 것처럼 강한 원색 대비를 통해 비례강조를 하면서 동시에 그것을 뒷받침하는 가장 합리적이고 기능적인 색은 흰색이라고 믿었다. C. 소재 (Material) 앙드레 꾸레쥬는 건물을 짓듯이 사람위에 옷을 건축한다고 믿었기 때문에 자연히 둔탁하고 딱딱한 소재가 많이 사용되었다. 비닐, 금속류, 시퀸스처럼 광택나고 투명한 재료 선호는 그 당시 현대 건축에서 선풍적으로 많이 사용되었던 유리, 금속류, 크리스탈 등 비치고 광택나는 건축재료와 일맥상통하는 것이다. 그러한 선국적인 내료 사용결과로 보여진 괴상하고 선정적인 그러면서도 아주 단순한 패션은 미래 지향적인 건축양식 구조의 " Simple", "Plain" 느낌과 정확하게 같은 것이다. 이상과 같이 앙드레 꾸레쥬는 옷을 디자인 했다기 보다는 건축했다. 주목할만한 점은 60년대 말 당시 발표되었던 그의 건축 구조적인 디자인의 특징들이 21세기를 앞둔 90년대에 다시 크게 유행하고있다는 점이다. 꾸레쥬 역시, 최근 자신의 디자인을 통해 건축적 조형미와 미래지향적 이미지를 더욱 강조하고 있는 것을 볼 수있다. 단순하면서 우주공간을 선회하는 듯한 입체적인 라인, 흰색을 비롯한 자연에 가까운 색을 중심으로 하되, 밝은 색조의 하이라이트, 플라스틱, 금속류와 같이 딱딱하고 광택나며 비치는 재료 사용,, 등등이 바로 그것이다. 그리고 이러한 그에 미래 지향적이고 조형적인 디자인들은 앞으로 어떻게 더 모험적인 모습으로 선보일지 우리 모두가 주목할만한 일인 것이다.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.295-306
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• 2016

The purpose of this paper is both to analyze research trends and to predict industrial flows using the meta-data from the previous studies on data quality. There have been many attempts to analyze the research trends in various fields till lately. However, analysis of previous studies on data quality has produced poor results because of its vast scope and data. Therefore, in this paper, we used a text mining, social network analysis for time series network analysis to analyze the vast scope and data of data quality collected from a Web of Science index database of papers published in the international data quality-field journals for 10 years. The analysis results are as follows: Decreases in Mathematical & Computational Biology, Chemistry, Health Care Sciences & Services, Biochemistry & Molecular Biology, Biochemistry & Molecular Biology, and Medical Information Science. Increases, on the contrary, in Environmental Sciences, Water Resources, Geology, and Instruments & Instrumentation. In addition, the social network analysis results show that the subjects which have the high centrality are analysis, algorithm, and network, and also, image, model, sensor, and optimization are increasing subjects in the data quality field. Furthermore, the industrial connection analysis result on data quality shows that there is high correlation between technique, industry, health, infrastructure, and customer service. And it predicted that the Environmental Sciences, Biotechnology, and Health Industry will be continuously developed. This paper will be useful for people, not only who are in the data quality industry field, but also the researchers who analyze research patterns and find out the industry connection on data quality.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.165-193
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• 2022

It can be said that digital technology is at the center of the change in the modern work environment. In particular, in general public institutions that prove their work with records produced by business management systems and document production systems, the record management system is also the work environment itself. Gimpo City applied for the 2021 public cloud leading project of the National Information Society Agency (NIA) to proactively respond to the 4th industrial revolution technology era and implemented a public cloud-based AI-OCR technology enhancement project with 330 million won in support of 330 million won. Through this, it was converted into data beyond the limitations of non-electronic records limited to search and image viewing that depend on standardized index values. In addition, a 98% recognition rate was realized by applying a new technology called AI-OCR. Since digital technology has been used to improve work efficiency, productivity, development cost, and record management service levels of internal and external users, we would like to share the direction of enhancing expertise in the record management and implementation of work environment innovation.