• The Journal of the Society of Korean Medicine Diagnostics
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• v.17 no.2
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• pp.77-89
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• 2013

Objectives Tongue diagnosis is an important diagnostic method in traditional Eastern medicine, and it has a high potential to be used in the future healthcare because of easy, quick, and non-contact measuring features. Recently, research and development efforts on computerized tongue diagnosis systems (CTDS) have been active that led to the technical advancements in the field of photographing techniques, image extraction and classification algorithms. In this study, we analyzed the trends in the CTDS patents. Using the WIPS search engine (www.wipsglobal.com), quantitative and qualitative patent analyses were performed through Korea, China, Japan, U.S.A and Europe. Methods For a systematic search and data analysis, we defined patent categories based on the application area and technical details. By applying thus-obtained categorical key words, we obtained 360 relevant patents on photographing techniques, image extraction and classification algorithms for the purpose of diagnosis or security. Results As a result, companies related to image acquisition, medical imaging and mobile devices and research groups of universities in East Asia were major patent applicants. In all the five countries, the number of patents have been increasing since 1980. In particular, technology related to color correction and image segmentation were most actively patented categories, and expected to continue a high application rate.

• Journal of Information Management
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• v.37 no.3
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• pp.61-84
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• 2006

In this paper, we proposed one of the methods for building thesaurus in Science & Technology domain and investigated its applicability as an inference service based on ontology. There exist as many building methods for thesaurus as its role and function, and actually many thesauri capable of ensuring the accuracy and efficiency in information search are being built by many experts. After examining the previous studies related to the principles of building thesaurus and relevant concept "facet", we focused on its characteristics and applied it to building thesaurus. The facet is classified into 2 categories, conceptual facet and relational facet. The latter contains 3 subcategories: category relational facet, attribute relational facet and thematic relational facet. The thesaurus for Science & Technology domain using facets can be applied as a web-based inference service. As a result, the three types of inference service, COP(Communities of Practice), Researcher Tracing and Research Map are provided by means of ontology, and can be applied for the Query Expansion.

• Korean Parent-Child Health Journal
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• v.4 no.2
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• pp.56-72
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• 2002

Web sites on the internet are getting major resources to gain information related to child care. Though the numerous web sites deliver child care information, they have never been evaluated with criteria before. The purpose of this study is to identify existence and organization of child care portal sites and to analysis their contents, therefore to suggest guidelines for parents. The survey was conducted from Sep. 1. to Oct. 30., 2001. by means of Lycos Korea and Daum search engine and finally 45 portal sites related to child care were selected eliminating the commercial and personal homepages. The results were as follows: 1. Most of the sites(95.6%) were operated by corporations without registration(82.2%). Consultants were mostly professional (71.1%). 2. The contents were analyzed 4 categories including 19 themes. 3. Diet & Nutrition category include weaning food, breast feeding, bottle feeding and snack. The recipe and type of weaning food on months were topped(64.44%). 4. Infant Care category include bathing, sleeping, clothes, skin care and cord care. bathing method and heat of bathing water were topped(44.44%). 5. Growth & Development category was consisted of developmental characteristics, dental growth, play & exercise and learning & guidance. Developmental stage and motor development were topped (62.22%). 6. Health maintenance & promotion category was consisted of emergency care, prevention of accidents, vaccination, common pediatric disease and parental role. Care of diarrhea, constipation and fever, and precautions for vaccination were topped(48.89%).

• The Research Journal of the Costume Culture
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• v.13 no.6 s.59
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• pp.934-945
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• 2005

The purpose of this study was to investigate the content and presentation style of consumer information of Korean young casual apparel brand. To collect the data for this study, the representative 25 casual brand web sites were selected, based on major search engines. In addition, to investigate exact product information, four product categories, knit shirts and casual pants for men and women, were selected and the number of products was limited as maximum 15 products per each category. A coding instrument was developed to capture the consumer information, based on the instrument by Park and Stoel(2002). The Pretest was conducted to gauge inter-coder reliability and the results showed that inter-coder reliability was highly acceptable. The results of this study were as follows. Most casual brand web sites for this study were presented well in brand and customer service information. Especially, many web sites provided various engaging information such as various events(best dresser contest, date with a star, special gift) and useful multimedia file(MP3 music file, screen saver, movie, calender). However, product information was very lack in most web sites. Especially, sizing and fitting information and textile and fabric hand information were rarely provided. Therefore, this result showed that the web sites should provide more specific product information and develop devices to get tactile sensory and experiential information for enhancement of future e-commerce of apparel products.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.491-501
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• 2002

Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. Hybrid model achieves some convergence of the wide proliferation of credit evaluation modeling. As a result, Hybrid model showed that proposed methodology classify more accurately than any of techniques individually do. It is confirmed that proposed methodology predicts significantly better than individual techniques and the other combining methodologies. The objective of the proposed approach is to determines a set of weighting values that can best formalize the match between the input case and the previously stored cases and integrates fuzzy sit concepts into the case indexing and retrieval process. The GA is used to search for the best set of weighting values that are able to promote the association consistency among the cases. The fitness value in this study is defined as the number of old cases whose solutions match the input cases solution. In order to obtain the fitness value, many procedures have to be executed beforehand. Also this study tries to transform financial values into category ones using fuzzy logic approach fur performance of credit evaluation. Fuzzy set theory allows numerical features to be converted into fuzzy terms to simplify the matching process, and allows greater flexibility in the retrieval of candidate cases. Our proposed model is to apply an intelligent system for bankruptcy prediction.

• Imaging Science in Dentistry
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• v.45 no.4
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• pp.253-261
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• 2015

In this study, we formulate a new proposal that complements previous classifications in order to assist dental practitioners in performing a differential diagnosis based on patients' radiographs. We used general search engines and specialized databases such as Google Scholar, PubMed, PubMed Central, MedLine Plus, Science Direct, Scopus, and well-recognized textbooks to find relevant studies by using keywords such as "jaw disease," "jaw lesions," "radiolucent rim," "radiolucent border," and "radiolucent halo." More than 200 articles were found, of which 70 were broadly relevant to the topic. We ultimately included 50 articles that were closely related to the topic of interest. When the relevant data were compiled, the following eight lesions were identified as having a radiolucent rim: periapical cemento-osseous dysplasia, focal cemento-osseous dysplasia, florid cemento-osseous dysplasia, cemento-ossifying fibroma, osteoid osteoma, osteoblastoma, odontoma, and cementoblastoma. We propose a novel subcategory, jaw lesions with a radiolucent rim, which includes eight entities. The implementation of this new category can help improve the diagnoses that dental practitioners make based on patients' radiographs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.316-317
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• 2017

Augmented reality is a technology that combines the virtual world based on the real world. This technique requires POI data to recognize the marker and identify the marker. POI data can be easily registered and used by anyone, and there is a need to provide a standard for accessing POI data because a large amount of data is accumulated in the existing augmented reality platform. Therefore, in this paper, we propose a category composition method for POI data integration using ontology which is a paradigm of providing relationship and information sharing. It consists of a combination of the POI core of W3C and OWL, which is the expression language of the ontology.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.39-48
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• 2022

Today the regulation of socio-economic development has been the subject of active scientific debate. The modern paradigm of regulatory policy in foreign countries involves a change in the role and strategy of the state, which determines the relevance of this topic. The aim of the article is to study the current state of regulatory policy research. The article is based on a bibliographic analysis of the study of regulatory policy. The study is based on the data search functions of the Scopus platform. It uses a set of VOSviewer program, online visualization of keywords in the titles of scientific journals and citations of publications. The study led to the conclusion that the number of publications that directly study the nature and features of regulatory policy is insignificant, but constantly growing. In our opinion, further research should determine the essence of regulatory policy as a separate category, a description of its features and factors of formation. It is also necessary to develop a common concept that governments should be actively involved in ensuring the quality of regulation, rather than responding to the shortcomings of regulation, which is evolving into regulatory governance.

• Structural Engineering and Mechanics
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• v.84 no.5
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• pp.605-618
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• 2022

Glass fiber reinforced polymer (GFRP) elastic gridshells consist of long continuous GFRP tubes that form elastic deformations. In this paper, a method for the form-finding of gridshell structures is presented based on the interpretable machine learning (ML) approaches. A comparative study is conducted on several ML algorithms, including support vector regression (SVR), K-nearest neighbors (KNN), decision tree (DT), random forest (RF), AdaBoost, XGBoost, category boosting (CatBoost), and light gradient boosting machine (LightGBM). A numerical example is presented using a standard double-hump gridshell considering two characteristics of deformation as objective functions. The combination of the grid search approach and k-fold cross-validation (CV) is implemented for fine-tuning the parameters of ML models. The results of the comparative study indicate that the LightGBM model presents the highest prediction accuracy. Finally, interpretable ML approaches, including Shapely additive explanations (SHAP), partial dependence plot (PDP), and accumulated local effects (ALE), are applied to explain the predictions of the ML model since it is essential to understand the effect of various values of input parameters on objective functions. As a result of interpretability approaches, an optimum gridshell structure is obtained and new opportunities are verified for form-finding investigation of GFRP elastic gridshells during lifting construction.

• Journal of Society of Preventive Korean Medicine
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• v.24 no.1
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• pp.15-25
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• 2020

Objective : The purpose of this study was to analyze the frequency and contents of each 'Yangseng(養生)' category appeared in 『The Annals of Joseon Dynasty』, based on the Yangseng-related terms used in the records. Method : We selected 11 terms with the same meaning as 'Yangseng(養生)' and searched each of them on the website of the Annals of Joseon Dynasty online search service. Among the total of 679 records, 343 were classified into five categories: 'Mind Yangseng(精神養生)', 'Food Yangseng(飮食養生)', 'Doin-angyo(導引按蹻)', 'Lifestyle Yangseng(生活養生)', and 'Herb Yangseng(藥草養生)'. The contents and characteristics of each Yangseng category appeared in the 『The Annals of Joseon Dynasty』 were studied. Results : The term 'Jo-seop(調攝)' was most frequently used in the same meaning as Yangseng(養生), followed by 'Jo-ri(調理)', 'Jo-ho(調護)', 'Jo-yang(調養)', and 'Seop-yang(攝養)'. The frequency of records categorized into specific Yangseng methods(養生法) was in the order of 'Lifestyle Yangseng', 'Mind Yangseng', 'Food Yangseng', 'Herb Yangseng' and 'Doin-angyo(導引按蹻)'. The contents of 'Mind Yangseng' included 'control of emotions and thoughts', 'control of self-interest', 'emphasis on the cultivation of mind', and 'avoidance of stress'. The contents of 'Food Yangseng' were related to the amount of food intake and types of food. The contents of 'Lifestyle Yangseng' were related to 'work-rest balance(勞逸)', 'seasons(季節)', 'residence(居處)', 'bath(沐浴)', 'sexual life', 'sleep', and 'clothing'. The frequency of 'work-rest balance(勞逸)' was among the highest. Conclusion : Emphasis on mental health and work-rest balance appeared in 『The Annals of the Joseon Dynasty』 can have significant implications on people of today.