• 한국의류산업학회지
• /
• 제6권3호
• /
• pp.285-296
• /
• 2004

Fashion business must reflect the seasonable fashion trend because fashion has change always, and therefore fashion business has a big risk at the attribute. Careful consideration should be given to the selection of a particular color code to meet the purpose of marketing research in various color products. It must be designed to grasp systematically and comprehensively the current trend of colors. The most suitable color code for meeting this proposition would be one based on the designation by color ranges. The ISCC-NBS method of designating colors, published in 1955, was established by dividing the color solid into 267 color name blocks. The detailed classification like the ISCC-NBS system is very appropriate to serve the purpose of giving all color names according to color ranges. But it is somewhat too complicated to answer the purpose of surveying the trend of colors and of comparing and evaluating the ups and downs in the popularity of the range of each individual color. I have worked out the most convenient method of designating colors in accordance with the type of investigation needed. It is the classification which involves four classification system in itself, fundamental, gross, medium, and minute. The fundamental classification system classifies hues and neutrals into 16ranges. The gross classification system divides the above 16 ranges into 30. The medium classification divides the above 30 ranges into 103 in terms of tones. The minute classification divides the above 103 ranges into 207 in terms of specipic hues.

• 대한원격탐사학회지
• /
• 제40권1호
• /
• pp.57-69
• /
• 2024

Crop classification plays a vitalrole in monitoring agricultural landscapes and enhancing food production. In this study, we explore the effectiveness of Long Short-Term Memory (LSTM) models for crop classification, focusing on distinguishing between apple and rice crops. The aim wasto overcome the challenges associatedwith finding phenology-based classification thresholds by utilizing LSTM to capture the entire Normalized Difference Vegetation Index (NDVI)trend. Our methodology involvestraining the LSTM model using a reference site and applying it to three separate three test sites. Firstly, we generated 25 NDVI imagesfrom the Sentinel-2A data. Aftersegmenting study areas, we calculated the mean NDVI values for each segment. For the reference area, employed a training approach utilizing the NDVI trend line. This trend line served as the basis for training our crop classification model. Following the training phase, we applied the trained model to three separate test sites. The results demonstrated a high overall accuracy of 0.92 and a kappa coefficient of 0.85 for the reference site. The overall accuracies for the test sites were also favorable, ranging from 0.88 to 0.92, indicating successful classification outcomes. We also found that certain phenological metrics can be less effective in crop classification therefore limitations of relying solely on phenological map thresholds and emphasizes the challenges in detecting phenology in real-time, particularly in the early stages of crops. Our study demonstrates the potential of LSTM models in crop classification tasks, showcasing their ability to capture temporal dependencies and analyze timeseriesremote sensing data.While limitations exist in capturing specific phenological events, the integration of alternative approaches holds promise for enhancing classification accuracy. By leveraging advanced techniques and considering the specific challenges of agricultural landscapes, we can continue to refine crop classification models and support agricultural management practices.

• 풍력에너지저널
• /
• 제14권3호
• /
• pp.34-42
• /
• 2023

The reduction of operation and maintenance (O&M) costs is a critical factor in determining the competitiveness of wind energy. Predictive maintenance based on the estimation of remaining useful life (RUL) is a key technology to reduce logistic costs and increase the availability of wind turbines. Although a mechanical component usually has sudden changes during operation, most RUL estimation methods use the trend of a state index over the whole operation period. Therefore, overestimation of RUL causes confusion in O&M plans and reduces the effect of predictive maintenance. In this paper, two RUL estimation methods (load based and data driven) are proposed for the bearings of a wind turbine with the results of trend classification, which differentiates constant and increasing states of the state index. The proposed estimation method is applied to a bearing degradation test, which shows a conservative estimation of RUL.

• 정보관리연구
• /
• 제37권4호
• /
• pp.125-139
• /
• 2006

인터넷의 등장은 과학기술정보의 생산과 유통에 많은 변화를 초래하고 있다. 기존 과학기술정보들은 주로 문헌위주로 생산되었다. 그러나, 인터넷이 대중화되면서 온라인 과학기술정보들이 대량으로 생산되고 있으며, 그 활용이나 중요도 또한 과학기술분야의 문헌에 뒤지지 않고 있다. 온라인 과학기술정보의 양적 질적 성장으로 인해, 정보서비스기관들은 이들 정보들의 체계적인 관리와 효율적인 서비스를 고민하고 있으며, 다양한 정보관리방법을 모색하고 있다. 효율적인 정보 관리를 위한 방법 중의 하나인 분류체계는 주요한 이슈이며, 지금까지는 문헌정보 중심의 분류체계나 일반 웹사이트의 분류체계를 벤치마킹하여 온라인 과학기술정보를 위해 도입되는 경우가 많았다. 본고에서는 국가 차원의 표준분류를 이용하여, 온라인 과학기술정보를 위한 분류체계 구성방안을 실천적으로 제시하여 보았다.

• 한국어교육
• /
• 제28권1호
• /
• pp.79-111
• /
• 2017

This study is a trend analysis study that discusses the current status and directions of research methods of KAP research. The existing trend ana lysis studies dealing with research methods have problems in that the classification criteria of the studies used are rough and different from each other, rendering comparison between studies being difficult, and do not comprehensively cover research methods of diversified KAP research. Therefore, this study examined the research methods of KAP research from a critical point of view and suggested a set of classification criteria and an analysis framework that can be used consistently in classification and analysis of future KAP research methods. Based on the theoretical background of second language studies and applied linguistics, this study revised and supplemented Brown (2015)'s research method types and selected 289 journals and theses/dissertations from 2012 to 2016 and classified them into a new analysis framework. The primary and secondary studies, which are the major categories, were 219 and 70, respectively, so it was confirmed that there were much more primary studies. The primary studies then were subdivided into 128 qualitative research studies, 142 survey research studies, and 23 quantitative research studies, pointing to the trend that survey and qualitative research methods were preferred. In the qualitative research approaches, there were 21 action research studies, which were used the most. In addition, such qualitative research approaches as case studies and narrative inquiries which were difficult to find in the past, have gradually increased, confirming that the diversification of research methods is becoming common. However, there were still many studies that did not explicitly put forward research questions and there were many studies that did not report reliability and effect sizes in quantitative research. Of the 23 quantitative studies, only 50% reported reliability, and only three reported effect sizes. In order to enable systematic reviews (meta-analysis) of quantitative research and expect quality improvement of research in future KAP research, reporting of quantitative research should be done more systematically. This study is meaningful in that a systematic and detailed analysis framework was proposed to classify various research methods in the future and that the problems and directions for improvement of the KAP research methods were discussed through the analysis of the research trend of the KAP studies for the last 5 years.

• Communications for Statistical Applications and Methods
• /
• 제14권1호
• /
• pp.133-140
• /
• 2007

The support vector machine has been well developed as a powerful tool for solving classification problems. In many real world applications, each training point has a different effect on constructing classification rule. Lin and Wang (2002) proposed fuzzy support vector machines for this kind of classification problems, which assign fuzzy memberships to the input data and reformulate the support vector classification. In this paper another intuitive approach is proposed by using the fuzzy ${\alpha}-cut$ set. It will show us the trend of classification functions as ${\alpha}$ changes.

• 대한교통학회지
• /
• 제27권4호
• /
• pp.55-61
• /
• 2009

차종분류는 교통의 흐름 및 안전에 미치는 영향을 분석하고 도로의 포장 및 시설의 설계를 위하여 이루어진다. 국내에서는 국토해양부의 12종 분류에 따라 고속국도, 일반국도, 지방도의 차종분류 자료가 제공되고 있다. 기계식 차종분류를 위한 AVC(Automatic Vehicle Classification) 장비는 차량길이, 축거, 내민 거리(overhang) 등의 측정값과 미리 입력된 모든 차량 모델의 제원값을 비교하여 차종을 판단한다. 하지만, 기존의 방법은 센서의 관리상태에 분류 정확도가 크게 영향받게 된다. 본 연구에서는 실제 조사지점에서 발생하는 장비 오차와 차량 제원정보에 민감하지 않은 차종분류 알고리즘을 개발하였다. 알고리즘을 단순화하기 위하여 차량길이와 축거 중심으로 추세선을 이용하여 차종을 분류하므로 센서의 정확도 변화의 영향을 감소시켰다. 개발된 알고리즘의 평가를 위하여 일반국도에 설치된 AVC 장비에서 축수, 차량길이, 축거, 내민거리를 추출하여 비디오 판독 결과와 비교하였다. 실험 결과는 전체 차량에 대하여 88.2%의 정확도를 얻었다. 본 연구에서 개발된 차종분류 알고리즘은 센서의 감도 변화 등 현장 환경의 변화에 덜 영향을 받도록 설계되어 차종분류를 위한 기계식 장비의 안정적 정확도 유지에 활용될 수 있을 것으로 기대된다.

• 대한지역사회영양학회지
• /
• 제27권6호
• /
• pp.455-467
• /
• 2022

Objectives: In this study, we suggest a Korean NOVA food classification that can be applied to food consumption among Korean. Based on this suggestion, the nutritional intake of Korean adults from ultra-processed foods (UPFs) was estimated. Methods: Korean commercial food was categorized based on the NOVA food classification criteria through the Korea Food Code and expert meetings. Then, the nutrient intake status of 6,991 participants in the 2018 National Health and Nutrition Examination Survey was analyzed according to the food processing level. Then, 4,152 adult participants (age 19-65) were divided into quartiles on the basis of their intake of UPFs, and the nutrient intakes from UPFs were compared. Results: Korean NOVA Food Classification defines with priority Group I (Unprocessed/ Minimally processed foods) and Group II (Processed culinary ingredients) foods based on the food cooking or consumption. Then, Group III (Processed foods) and Group IV (UPFs) are classified according to whether the characteristics of the raw materials used are maintained or whether the food was consumed before the 1970s. Our analysis results showed that most of the calories in the diet were consumed by Group I (52.7%), followed by Group IV (29.3%). After categorization of the adult participants into four groups according to their energy consumption from UPFs, we found that the highest consumption group (Q4) was younger and had higher percentage of men than women. The comparative analysis of the consumption of ultra-processed foods by Korean adults revealed that participants of a younger age and men consumed higher energy from UPFs than older participants and women, respectively (P < 0.01). Furthermore, the larger intake of UPFs was associated with an increasing trend for a higher intake of energy, sugar, saturated fat (P for trend < 0.001), total fat (P for trend = 0.021), and sodium (P for trend = 0.005), whereas the intake of carbohydrate, protein, and dietary fiber had a decreasing trend (P for trend < 0.001). Conclusions: With the current increase in the consumption of processed and ultra-processed foods, it is important to carefully consider not only nutrient intake but also the level of food processing.

• 복식문화연구
• /
• 제11권6호
• /
• pp.835-851
• /
• 2003

This study analyses patent information of apparel design using computer technology and researches the trend of patent application focused on International Patent Classification. In terms of trend by filling data, Patent application started first in 1974 and increased sharply in 1993 with 14 cases and increased to 25 cases in 2000. In case of Korea, they began somewhat late in 1996, but reached a similar level with the leading country in 2000. In terms of trend by applicant, Gerber Garment Technology, Inc. filed 7 cases TORAY IND INC, filed 6 cases Levi Strauss & Co. filed 4 cases, NEC HOME ELECTRONICS LTD filed 3 cases, TOYOBO CO LTD filed 3 cases. Japanese companies occupied 52% and United States's companies occupied 48%. In terms of trend by country, foreigner occupied 47% of the patents filed by United State. Japanese take up 10% of total patent of United States. Korean occupied 84% of total patent of Korea and foreigner, american occupied 16% of the patents filed by Korea. In regared to International Patent Classification, in the section level G filed 92 cases(53%). In class level, G06 marked the first place in United States, Japan, and Korea. In subclass level, G06F marksed the first place with 74 cases. G06T and A61B were regarded as the new technologies. The new technologies are representing the dimensions of garment or computer-rendered model, providing the virtual reality through the texture mapping, digital dressing room or virtual dressing, and performing or retriving display on a screen for the result of changing pattern ao dress design, The technologies of core patent are designing or producing custom manufactured item, providing or prealtering the data for pattern making and visually displaying, interactively generating or previewing of various articles.

• 기술혁신학회지
• /
• 제21권1호
• /
• pp.236-264
• /
• 2018

본 논문에서는 ICT(Information and Communications Technology) 산업 관련 기술을 주제로 경상북도의 특허출원 동향과 특허맵 중 하나인 특허 포트폴리오 분석을 적용하여 ICT 기술의 향후 방향을 살펴본 연구이다. 이에 본 연구는 경북지역 ICT 산업의 기술 동향 및 기술개발 실태를 특허정보를 통해 살펴보고, 특허 포트폴리오 분석을 통한 지역 ICT 산업의 기술방향 정도를 가늠하여, 연구개발전략 수립에 활용되는 것을 그 목적으로 한다. 경상북도에서 출원된 특허를 대상으로 국제특허분류(IPC: International Patent Classification) 별 기술동향 파악을 하였고 향후 미래유망기술 도출에 대해 분석하였다. 동향파악을 위해서는 ICT 분류코드에 의거하여 각 부문별로 출원된 특허에 대해 분석하였다. 그 결과 경상북도의 특허 출원 동향과 기술별 점유율 및 구간별 특허활동 현황, ICT 중분류 기술별 특허 출원 동향, ICT 기술시장 성장단계현황, 연구주체별 특허 출원 동향, 연구주체 간 공동연구 현황, 주요 출원인 특허 출원 동향 분석 등의 분석결과를 제시하였다. 또한 유망기술 도출을 통해 경북 ICT산업의 기술적 방향을 살펴보았다. 연구결과를 바탕으로 경북 ICT 산업의 기술 경쟁력 확보에 기여하고자 하였고, 더불어 향후 ICT 산업기술의 지향 방향과 기술정책 전략 수립에 도움이 되고자 하였다.