• Title/Summary/Keyword: 정보 불균형

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A Customized Healthy Menu Recommendation Method Using Content-Based and Food Substitution Table (내용 기반 및 식품 교환 표를 이용한 맞춤형 건강식단 추천 기법)

  • Oh, Yoori;Kim, Yoonhee
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.3
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    • pp.161-166
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    • 2017
  • In recent times, many people have problems of nutritional imbalance; lack or surplus intake of a specific nutrient despite the variety of available foods. Accordingly, the interest in health and diet issues has increased leading to the emergence of various mobile applications. However, most mobile applications only record the user's diet history and show simple statistics and usually provide only general information for healthy diet. It is necessary for users interested in healthy eating to be provided recommendation services reflecting their food interest and providing customized information. Hence, we propose a menu recommendation method which includes calculating the recommended calorie amount based on the user's physical and activity profile to assign to each food group a substitution unit. In addition, our method also analyzes the user's food preferences using food intake history. Thus it satisfies recommended intake unit for each food group by exchanging the user's preferred foods. Also, the excellence of our proposed algorithm is demonstrated through the calculation of precision, recall, health index and the harmonic average of the 3 aforementioned measures. We compare it to another method which considers user's interest and recommended substitution unit. The proposed method provides menu recommendation reflecting interest and personalized health status by which user can improve and maintain a healthy dietary habit.

Study on the Effect of Training Data Sampling Strategy on the Accuracy of the Landslide Susceptibility Analysis Using Random Forest Method (Random Forest 기법을 이용한 산사태 취약성 평가 시 훈련 데이터 선택이 결과 정확도에 미치는 영향)

  • Kang, Kyoung-Hee;Park, Hyuck-Jin
    • Economic and Environmental Geology
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    • v.52 no.2
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    • pp.199-212
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    • 2019
  • In the machine learning techniques, the sampling strategy of the training data affects a performance of the prediction model such as generalizing ability as well as prediction accuracy. Especially, in landslide susceptibility analysis, the data sampling procedure is the essential step for setting the training data because the number of non-landslide points is much bigger than the number of landslide points. However, the previous researches did not consider the various sampling methods for the training data. That is, the previous studies selected the training data randomly. Therefore, in this study the authors proposed several different sampling methods and assessed the effect of the sampling strategies of the training data in landslide susceptibility analysis. For that, total six different scenarios were set up based on the sampling strategies of landslide points and non-landslide points. Then Random Forest technique was trained on the basis of six different scenarios and the attribute importance for each input variable was evaluated. Subsequently, the landslide susceptibility maps were produced using the input variables and their attribute importances. In the analysis results, the AUC values of the landslide susceptibility maps, obtained from six different sampling strategies, showed high prediction rates, ranges from 70 % to 80 %. It means that the Random Forest technique shows appropriate predictive performance and the attribute importance for the input variables obtained from Random Forest can be used as the weight of landslide conditioning factors in the susceptibility analysis. In addition, the analysis results obtained using specific sampling strategies for training data show higher prediction accuracy than the analysis results using the previous random sampling method.

A Study on the Development of Feasibility Evaluation Model for Establishment of Public Libraries (공공도서관 설립 사전 타당성 평가모형 개발 연구)

  • Sin-Young, Kim;Hee-Yoon, Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.4
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    • pp.101-127
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    • 2022
  • Article 31(1) of the Libraries Act(Act No. 18547), which was completely revised on December 7, 2021, stipulates that "the head of a local government or the superintendent of a city/provincial office of education must formulate a plan for the establishment and operation of a public library in advance and obtain the pre-evaluation of the feasibility of establishing a public library from the Minister of Culture, Sports and Tourism." Through the preliminary feasibility evaluation at the construction stage of the public library, it is possible to adjust distribution to improve the adequacy of scale and resolve regional imbalances and gaps. In addition, it is expected to increase service satisfaction and operational enhancement by inducing faithful securing of core infrastructure (librarians, collection, facilities, systems, etc.) in terms of balanced regional development and public library construction. The purpose of this study is to develop and present the basic direction and feasibility evaluation model for establishment of public libraries. The proposed evaluation model is expected to secure the legal basis and institutional legitimacy of the pre-evaluation system for public library establishment and to prevent waste of tax due to poor construction and operation of public libraries.

Art transaction using big data Artist analysis system implementation (미술품 거래 빅데이터를 이용한 작가 분석 시스템 구현)

  • SeungKyung Lee;JongTae Lim
    • Journal of Service Research and Studies
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    • v.11 no.2
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    • pp.79-93
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    • 2021
  • The size of the domestic art market has increased 21.9% over the past five years as of 2018 to KRW 448.2 billion and the number of transactions has also increased 31.6% to 39,367 points maintaining growth for the fifth consecutive year. Art distribution platforms are diversifying from galleries and auction-style offline to online auctions. The art market consists of three areas: production (creation), distribution (trade), and consumption (buying) of works and as the perception of artistic value as well as economic value spreads interest is also increasing as a means of investment. Consumers who purchase works and think of them as a means of investment technology have an increased need for objective information about their works, but there is a limit to collecting and analyzing objective and reliable statistics because information provision in the art market distribution area is closed and unbalanced. This paper identifies objective and reliable art distribution status and status through big data collection and structured and unstructured data analysis on art market distribution areas. Through this, we want to implement a system that can objectively provide analysis of authors in the current market. This study collected author information from art distribution sites and calculated the frequency of associated words by writer by collecting and analyzing the author's articles from Maeil Business, a daily newspaper. It aims to provide consumers with objective and reliable information.

A Study for Substantial of Computer Education in Elementary Schools through Discretion Activity (재량활동을 통한 초등 컴퓨터 교육 내실화 방안)

  • Oh, Pill-Woo;Kim, Yong-Beom;Kim, Myeong-Ryeol
    • The Journal of Korean Association of Computer Education
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    • v.9 no.4
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    • pp.15-23
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    • 2006
  • The current 7th Curriculum require elementary students to participate in an independent computer education class one time per week through means of discretion activity. However a national standard of this educational process has yet to be established, which has made regional provincial and city offices of education to choose textbooks for this purpose by discretion, that showed difference in quality, in operating education curriculums related to computer education for each classes in school such as continuing the repetitive contents without any rank or system. Also informatization education, which is one of national policies, might develop educational unbalance to young children who are to become the main characters in the future information society, due to excessive emphasis on aspect of using computer, which develops education mainly based on learning functions of applicable software. Therefore, we are proposing a discretion activity education curriculum model for utilization of computer education in elementary school which is showing regional difference based on former studies. This study will be helpful in substantiating of computer education in elementary schools in the future.

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Effect of Health-Orientated Menu for Restaurant Customers on LOHAS, Herbal Food, and Customer Satisfaction (외식소비자의 건강지향 메뉴가 LOHAS와 약선 음식 및 고객만족에 미치는 영향)

  • Choi, Sung-Woong;Jin, Yang-Ho
    • Culinary science and hospitality research
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    • v.16 no.2
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    • pp.96-109
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    • 2010
  • As a life cycle changed and people who eat out rapidly increased, the imbalance of nutrition through eating out has been suggested as a risk factor for chronic diseases. This has cast light on health-oriented menu for restaurant customers, raising it as a new social issue in the food service and health industry. In light of this situation, this thesis focuses on the relationship among health-oriented menu for restaurant customers, herbal foods and its influence on customer satisfaction to provide useful information on LOHAS and herbal foods. Also, it investigates their vegetable diet, including eating herbal food, and Buddhist temple foods which are in close relationship with health. The results are as follows. First, health orientation had a significant impact on LOHAS. Second, health-oriented menu proved to give significantly positive influence on customer satisfaction by introducing herbal foods. Third, LOHAS gave a significant impact on herbal foods, and by herbal foods, it gave positive influence on customer satisfaction. Finally, the hypothesis which said herbal food has a significant impact on customer satisfaction also had significant influence.

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Reseiver processing circuit design and its performance evaluation of the ERMES system (ERMES 시스템의 수신 처리 회로 설계와 그의 성능 평가)

  • Jeoung, Eun-Taek;Lee, Sang-Gon;Yoon, Ki-Hoo;Ryu, Heung-Gyoon
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.4
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    • pp.50-59
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    • 1994
  • The pan-european paging system European Radio MEssage System (ERMES), a new system of digital information communication, has 16 channels with 25KHz channel spacing. The ERMES modulation format is 4-PAM/FM. The ERMES operates in the frequency range 169.4125MHz$\~$169.8125MHz. In this paper, an ERMES receiving system according to the European Telecommunication Standard Institute(ETSI) specfication with a double error correction capability is designed. The ERMES receiver system is designed with the conventional circuit and its error performance for muitiple signal modulated by the 4-PAM/FM method are analyzed. Since amplitude imbalance among the signal components can impair the system performance when several receivers are operated on the same RF channel simultaneously, the optimal parameters are obtained in designing the radio system. Performance of the proposed receiver system is verified via computer simulation for processing procedure.

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Study on the Characteristics of R&D Investment Pattern for the Middle Site Companies (중견기업의 R&D투자 특징과 원인 연구)

  • Ko, Sung-Jin;Kim, Karp-Soo
    • Journal of Korea Technology Innovation Society
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    • v.12 no.3
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    • pp.525-544
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    • 2009
  • There's a way to recover unbalanced industrial structure between large size company (LEs) and small size company(SMEs). It's called middle size company (MEs) which can be the magic bullet for Korea to be more healthier than ever. but there are problems with MEs in Korea. Not only the number of MEs is too low compared to developed country's but also the status of amount of research developmental revenue, R&D concentration isn't that satisfied. That's why we need to focus on MEs which was out of center stage until now. Before discussing about how to foster MEs, we need to know what cause MEs makes weak. This research contains actual condition of R&D investment in MEs based on data from Korea information service. Also, survey data can help to know exact factor which make hard to invest research development. Expecially, this research give the answers that relation between the course of growth and concentration of R&D which was observed that has reciprocal relationship.

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Investigating the Trends of Research for the Age of Youth at 20s (20대 청년세대에 관한 연구 동향 분석)

  • Bang, Mi-Hyun;Lee, Young-Min
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.223-232
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    • 2020
  • This study aims to examine the trend of research articles for the age of youth at 20s during 10 years through topic modeling and keyword network analysis. In results, 'incomes', 'program', 'business start-up', and 'culture' were selected as main keywords, and the research articles were classified into six topics, which were employment support services, values, unstable life, government support policies, religious views, and business start-up support services. Additionally, we found the youth at 20s had higher rate of efficacy for digital technology, pursued efficient consumption of digital information, showed meaningful and athetical patterns of consumption, tried to search for their identity, and showed realistic action in daily. Finally, we raised some questions for value gap among aging groups, inbalance of regional development, and income inequality and suggested long-term youth policies to solve fundamental problems of youth at 20s.

An Analysis of Factors Affecting the Variation of GDP Gap by a Decomposition Method (GDP갭 분해기법을 이용한 변동요인 분석)

  • Chang, Youngjae
    • The Korean Journal of Applied Statistics
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    • v.27 no.3
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    • pp.387-396
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    • 2014
  • The GDP gap (also called the output gap) is the difference between potential GDP and actual GDP. Potential GDP is the maximum sustainable output that is achieved when the resources (labor and capital) are used to capacity. Central banks pursuing price and employment stability consider the output gap as an informative variable for monetary policy since the output gap could be regarded as a proxy of demand-supply imbalances. In this paper, the GDP gap of Korea is decomposed following the filtering method in the previous research, and major factors that affect the variation of GDP gap are investigated based on the decomposed series. The analysis results by the Super Smoother algorithm used in Fox et al. (2003)and Fox and Zurlinden (2006) are found consistent with theory. Much of the variation of nominal GDP gap is explained by Total Factor Productivity(TFP) gap, which is the change of productivity due to recent technological innovation and environmental change. It is also found that variation of terms of trade significantly affects the GDP gap of Korea due to its high dependency on international trade; however, the effect of the domestic price is not negligible like other countries.