• Journal of the Korean Society of School Health
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• v.12 no.1
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• pp.131-141
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• 1999

The purpose of this study was to serve as a basis for the planning of oral health education and the development of an oral health-promotion program for patients who visited dental clinics by examining how much dental hygienists offered oral health education to adult patients at dental clinics. A parent group was selected, being made up of 1,600 dental hygienists who registered with the Dental Hygienist Association and worked in Seoul. The questionnaire survey was carried out and an ${\chi}^2-test$ was made using the data collected from 218 subjects to determine how their practice of oral health education was different according to certain general characteristics(the sort of organization for which they worked, age, the term of their service, and the mean number of patients per day). As a result, the following findings were obtained: 1. Thees general characteristics made the following differences to the content of oral health, education: The sort of organization for which the subjects worked made a significant difference in the following tooth brushing instruction (p<0.05), the effect of oral prophylaxis or education about aftereffects (p<0.05), the regular examination of prosthesis (p<0.05), smoking-prohibition education (p<0.05), and the prevention poor-quality fillings (p<0.01). The mean number of patients per day made significant differences to the regular examination of prosthesis (p<0.05) and the prevention poor-quality fillings (p<0.01). But no significant disparity was generated by age or the term of service. 2. The general characteristics made the following differences to education about nutrition and diet counseling: The sort of organization for which the subjects worked had a significant effect just on the importance of a balanced menu (p<0.05). Age made significant differences in advice for vitamin, mineral, protein or other nutrients (p<0.01), and the importance of balanced menu (p<0.001). The term of service made significant differences in the importance of balanced menu (p<0.01), and advice for nutrients including vitamin, mineral or protein (p<0.01). 3. The general characteristics made the following differences to the recommendation and use of oral hygiene aids: The sort of oragnization for which they worked made significant differences only to a gingival massager and water pick (p<0.05). No significant difference was produced by age, the term of service or the mean number of patients per day. 4. The use of educational media for oral health was different according to the general characteristics: The use of pamphlets or booklets significantly varied depending on the organization for which they worked and with the mean number of patients per day (p<0.05). The use of slides or slide projectors was significantly affected by age (p<0.05). But no significant disparity was yielded by the term of service. 5. The general characteristics made the following difference as to whether a continued oral management system was carried out or not: The sort of organization for which they worked had very a significant effect on this result (p<0.001), and no significant disparity was made by age, the term of service or the mean number of patients per day. 6. The place where oral health education was giver differed according to the following general characteristics: The sort of organization for which they worked made very a significant difference as to the use of an examination room's dental unit chair or waiting room (p<0.01), and to the use of an oral health education room or reception counter (p<0.001). The term of service had a significant effect on the use of a counseling room (p<0.01). And the mean number of patients per day made significant differences in the use of a dental unit chair or reception counter (p<0.05), and to the use of an oral health education room or waiting room (p<0.01).

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.1-15
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• 2021

If it is difficult for us to make decisions, we ask for advice from friends or people around us. When we decide to buy products online, we read anonymous reviews and buy them. With the advent of the Data-driven era, IT technology's development is spilling out many data from individuals to objects. Companies or individuals have accumulated, processed, and analyzed such a large amount of data that they can now make decisions or execute directly using data that used to depend on experts. Nowadays, the recommender system plays a vital role in determining the user's preferences to purchase goods and uses a recommender system to induce clicks on web services (Facebook, Amazon, Netflix, Youtube). For example, Youtube's recommender system, which is used by 1 billion people worldwide every month, includes videos that users like, "like" and videos they watched. Recommended system research is deeply linked to practical business. Therefore, many researchers are interested in building better solutions. Recommender systems use the information obtained from their users to generate recommendations because the development of the provided recommender systems requires information on items that are likely to be preferred by the user. We began to trust patterns and rules derived from data rather than empirical intuition through the recommender systems. The capacity and development of data have led machine learning to develop deep learning. However, such recommender systems are not all solutions. Proceeding with the recommender systems, there should be no scarcity in all data and a sufficient amount. Also, it requires detailed information about the individual. The recommender systems work correctly when these conditions operate. The recommender systems become a complex problem for both consumers and sellers when the interaction log is insufficient. Because the seller's perspective needs to make recommendations at a personal level to the consumer and receive appropriate recommendations with reliable data from the consumer's perspective. In this paper, to improve the accuracy problem for "appropriate recommendation" to consumers, the recommender systems are proposed in combination with context-based deep learning. This research is to combine user-based data to create hybrid Recommender Systems. The hybrid approach developed is not a collaborative type of Recommender Systems, but a collaborative extension that integrates user data with deep learning. Customer review data were used for the data set. Consumers buy products in online shopping malls and then evaluate product reviews. Rating reviews are based on reviews from buyers who have already purchased, giving users confidence before purchasing the product. However, the recommendation system mainly uses scores or ratings rather than reviews to suggest items purchased by many users. In fact, consumer reviews include product opinions and user sentiment that will be spent on evaluation. By incorporating these parts into the study, this paper aims to improve the recommendation system. This study is an algorithm used when individuals have difficulty in selecting an item. Consumer reviews and record patterns made it possible to rely on recommendations appropriately. The algorithm implements a recommendation system through collaborative filtering. This study's predictive accuracy is measured by Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Netflix is strategically using the referral system in its programs through competitions that reduce RMSE every year, making fair use of predictive accuracy. Research on hybrid recommender systems combining the NLP approach for personalization recommender systems, deep learning base, etc. has been increasing. Among NLP studies, sentiment analysis began to take shape in the mid-2000s as user review data increased. Sentiment analysis is a text classification task based on machine learning. The machine learning-based sentiment analysis has a disadvantage in that it is difficult to identify the review's information expression because it is challenging to consider the text's characteristics. In this study, we propose a deep learning recommender system that utilizes BERT's sentiment analysis by minimizing the disadvantages of machine learning. This study offers a deep learning recommender system that uses BERT's sentiment analysis by reducing the disadvantages of machine learning. The comparison model was performed through a recommender system based on Naive-CF(collaborative filtering), SVD(singular value decomposition)-CF, MF(matrix factorization)-CF, BPR-MF(Bayesian personalized ranking matrix factorization)-CF, LSTM, CNN-LSTM, GRU(Gated Recurrent Units). As a result of the experiment, the recommender system based on BERT was the best.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.255-277
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• 2011

Product Service System(PSS), which is an integrated combination of product and service, provides new value to customer and makes companies sustainable as well. The objective of this paper draws Critical Successful Factors(CSF) of PSS through multiple case study. First, we review various concepts and types in PSS and Platform business literature currently available on this topic. Second, after investigating various cases with the characteristics of PSS and platform business, we select four cases of 'iPod of Apple', 'Kindle of Amazon', 'Zune of Microsoft', and 'e-book reader of Sony'. Then, the four cases are categorized as successful and failed cases according to criteria of case selection and PSS classification. We consider two methodologies for the case selection, i.e., 'Strategies for the Selection of Samples and Cases' proposed by Bent(2006) and the seven case selection procedures proposed by Jason and John(2008). For case selection, 'Stratified sample and Paradigmatic cases' is adopted as one of several options for sampling. Then, we use the seven case selection procedures such as 'typical', 'diverse', 'extreme', 'deviant', 'influential', 'most-similar', and 'mostdifferent' and among them only three procedures of 'diverse', 'most?similar', and 'most-different' are applied for the case selection. For PSS classification, the eight PSS types, suggested by Tukker(2004), of 'product related', 'advice and consulancy', 'product lease', 'product renting/sharing', 'product pooling', 'activity management', 'pay per service unit', 'functional result' are utilized. We categorize the four selected cases as a product oriented group because the cases not only sell a product, but also offer service needed during the use phase of the product. Then, we analyze the four cases by using cross-case pattern that Eisenhardt(1991) suggested. Eisenhardt(1991) argued that three processes are required for avoiding reaching premature or even false conclusion. The fist step includes selecting categories of dimensions and finding within-group similarities coupled with intergroup difference. In the second process, pairs of cases are selected and listed. The second step forces researchers to find the subtle similarities and differences between cases. The third process is to divide the data by data source. The result of cross-case pattern indicates that the similarities of iPod and Kindle as successful cases are convenient user interface, successful plarform strategy, and rich contents. The differences between the successful cases are that, wheares iPod has been recognized as the culture code, Kindle has implemented a low price as its main strategy. Meanwhile, the similarities of Zune and PRS series as failed cases are lack of sufficient applications and contents. The differences between the failed cases are that, wheares Zune adopted an undifferentiated strategy, PRS series conducted high-price strategy. From the analysis of the cases, we generate three hypotheses. The first hypothesis assumes that a successful PSS system requires convenient user interface. The second hypothesis assumes that a successful PSS system requires a reciprocal(win/win) business model. The third hypothesis assumes that a successful PSS system requires sufficient quantities of applications and contents. To verify the hypotheses, we uses the cross-matching (or pattern matching) methodology. The methodology matches three key words (user interface, reciprocal business model, contents) of the hypotheses to the previous papers related to PSS, digital contents, and Information System (IS). Finally, this paper suggests the three implications from analyzed results. A successful PSS system needs to provide differentiated value for customers such as convenient user interface, e.g., the simple design of iTunes (iPod) and the provision of connection to Kindle Store without any charge. A successful PSS system also requires a mutually benefitable business model as Apple and Amazon implement a policy that provides a reasonable proft sharing for third party. A successful PSS system requires sufficient quantities of applications and contents.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.4
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• pp.29-41
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• 2014

The Korean government has purchased land properties alongside any significant water bodies before setting up the buffers to secure water qualities. Since the annual budgets are limited, however, there has always been the issue of which land parcels ought to be given the priority. Therefore, this study aims to develop efficient mechanism for land acquisition priorities in stream corridors that would ultimately be vegetated for riparian buffer zones. The criteria of land acquisition priority were driven through literary review along with experts' advice. The relative weights of their value and priorities for each criterion were computed using the Analytical Hierarchy Process(AHP) method. Major findings of the study are as follows: 1. The decision-making structural model for land acquisition priority focuses mainly on the reduction of non-point source pollutants(NSPs). This fact is highly associated with natural and physical conditions and land use types of surrounding areas. The criteria were classified into two categories-NSPs runoff areas and potential NSPs runoff areas. 2. Land acquisition priority weights derived for NSPs runoff areas and potential NSPs runoff areas were 0.862 and 0.138, respectively. This implicates that much higher priority should be given to the land parcels with NSPs runoff areas. 3. Weights and priorities of sub-criteria suggested from this study include: proximity to the streams(0.460), land cover(0.189), soil permeability(0.117), topographical slope(0.096), proximity to the roads(0.058), land-use types(0.036), visibility to the streams(0.032), and the land price(0.012). This order of importance suggests, as one can expect, that it is better to purchase land parcels that are adjacent to the streams. 4. A standard scoring system including the criteria and weights for land acquisition priority was developed which would likely to allow expedited decision making and easy quantification for priority evaluation due to the utilization of measurable spatial data. Further studies focusing on both point and non-point pollutants and GIS-based spatial analysis and mapping of land acquisition priority are needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.504-510
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• 2016

This study presents a model for blended problem-based learning (BPBL) for engineering colleges in Mongolia in order to efficiently train talented Mongolian specialists "With problem-solving skills for the current information technology era. BPBL is learner-centered teaching method that promotes learning. Moreover, current teaching methods in the engineering colleges of Mongolia should change to novel and flexible teaching environments and methods that meet learners' needs. Thus, using BPBL for engineering education development in Mongolia will provide more teaching possibilities, which will assist the professors. Over the past few years, universities in Mongolia have established the Center for Teacher Development, which provides training and gives advice to staff about teaching methods, although the majority of lectures are still fragmentary and anecdotal. Therefore, many professors teach the way they learned, and most teaching methods used up till now have been teacher-centered. However, modern college instructors and modem society demand different engineering teaching methods from teachers who are more familiar with old-fashioned methods. Furthermore, the methods should meet the needs of individuals and groups who prefer to apply technology in the engineering learning process. Using an effective engineering strategy in the development of a new engineering teaching method will lead to its success.

• Korean Journal of Environment and Ecology
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• v.30 no.4
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• pp.712-723
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• 2016

This paper is to suggest the methods about the environmental risk assessment (ERA) based on non-target insect species for LM rice crop produced by biotechnology. We used some data by the picture dictionary of agricultural pests in Korea, some books for ERA or rice pest ecology, articles about rice ecology, and internet sites and many specialists gave us good advice for this ERA system. We found about 140 insect species using rice crop as their habitat and we discriminated herbivores into Sap feeder, Grain feeder, Defoliator, and Pollen feeder according to their food functional group. We also clarified the potential damage possibility of insect species from LM rice crop. Then, we ranked 10 non-target insect species (Baliothrips biformis, Laodelphax striatellus, Nilaparvata lugens, Mythimna separata, Cnaphalocrocis medinalis, Cletus schmidti Kiritshenko, Scotinophara lurida, Nilaparvata bakeri, Oxya chinensis, Agromyza oryzae) with giving some scores using Geographic distribution, Habitat specialization, Prevalence on crop, Abundance. We showed some environmental risk hypotheses about herbivore, predator, and parasitoid, and infered the impacts of non-target species on LM rice crop. Conclusively, we want to serve this methodology to build the biosafety system from biotechnology crops, and the methodology is to keep public health, sustain the biodiversity, and conserve the natural ecosystems.

• Journal of Sasang Constitutional Medicine
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• v.26 no.4
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• pp.339-349
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• 2014

Objectives This study was performed to make a short-form of Sasang Constitution Questionnaire for Patient(SSCQ-P). Methods In order to select important questions of SSCQ-P, we got advice from 10 professors of Oriental Medicine. As a result, we chose 37 questions. In addition, we selected 69 questions which had been used more than 12 times in SSCQ-P as the variable. We used some statistical methods to reduce questions. Finally, a total of 40 questions were selected. To find diagnostic accuracy rate of this short-form, discriminant analysis was performed. We used 1378 cases which was collect ed from February 2008 to June 2013 by online system(Sasang-medi data which has selected by web site, http://www.sasangmedi.or.kr), and 68 cases which was collected from November 2006 to September 2007 by the research "Construction of a biological information collection system for the Constitutional scientific diagnosis"(Korea Constitutional Multicenter Bank data, KCMB data) Results We made a short-form of SSCQ-P consisting of 40 questions. Diagnostic accuracy rate of short-form is 66.18% using Sasang-medi data, and 42.65% using KCMB data. Conclusions More cases are needed to improve the diagnostic accuracy rate of this short-form.

• Journal of Korean Port Research
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• v.10 no.2
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• pp.17-29
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• 1996

It is required to consider pricing and non-pricing factors and external economy in order to achieve the objects of physical distribution system in a port. Recently, among the three factors, much attention has been paid to non-pricing factor in the system. Although physical distribution service in a port(PDSP)has been frequently mentioned in documents and literature related to port and shipping studies, few study on it has not been systematically and scientifically made due to the following problems; $\circ$ there are not proper criteria to evaluate level and quality of PDSP and as a result it is difficult to set up a unified standard for doing so. $\circ$ algorithms to evaluate problems with complex and ambiguous attributes and multiple levels in PDSP are not available. This thesis aims to establish a paradigm to evaluate PDSP and to abvance existing decision making methods to deal with complex and ambiguous problems in PDSP. To tackle the first purpose, extensive and thorough literature survey was carried out on general physical distribution service, which is a corner stone to handle PDSp. In addition, through interviews and questionnaire to the expert, it have extracted 82 factors of physical distribution service in a port. They have been classified into 6 groups by KJ method and each group defined by the expert's advice as follows; a. Potentiality b. Exactness c. safety d. Speediness e. Convenience f. Linkage Prior to the service evaluation, many kinds of its attributes must be identified on the basis of rational decision owing to complexity and ambiguity inherent in PDSP. An analytical hierarchy process (AHP) is a method to evaluate them but it is not applicable to PDSP that have property of non-additivity and overlapped attributes. Therefore, probablility measure can not be used to evaluate PDSP but fuzzy measure is required. Hierarchical fuzzy integral method, which is merged AHP with fuzzy measure, is also not effective method to evaluate attributes because it has vary complicated way to calculate fuzzy measure identification coefficient of attributes. A new evaluation algorithm has been introduced to solve problems with multi-attribute and multi-level hierarchy, which is called hierarchy fuzzy process(HFP).Analysis on ambiguous aspects of PDSP under study which is not easy to be defined is prerequisite to evaluate it. HFP is different from algorithm existed in that it clarified the relationship between fuzzy measure and probability measure adopted in AHP and that it directly calculates the family of fuzzy measure from overlapping coefficient and probability measure to treat and evaluate ambiguous and complex aspects of PDSP. A new evaluation algorithm HFP was applied to evaluate level of physical distribution service in the biggest twenty container port in the world. The ranks of the ports are as follows; 1. Rotterdam Port, 2. Hamburg Port, 3. Singapore Port, 4. Seattle Port, 5. Yokohama Port, 6. Long beach Port, 7. Oakland Port, 8. Tokyo Port, 9. Hongkong Port, 10. Kobe Port, 11. Los Angeles Port, 12. New york Port, 13. Antwerp Port, 14. Felixstowe Port, 15. Bremerhaven Port, 16. Le'Havre Port, 17. Kaoshung Port, 18. Killung Port, 19. Bangkok Port, 20. Pusan Port

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.126-135
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• 2020

Recently, with the development of the 4th Industrial Revolution era and the popularization of technologies the maker movement is spreading worldwide in various ways for education, entrepreneurship, and solving social problems. This paper introduces a case of establishing and operating a maker space in Tanzania, East Africa, one of the developing countries. iTEC Tech-shop was established in the first half of 2018 at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Arusha, Tanzania by Innovative Technology and Energy Center (iTEC), and has been operating for nearly two years. With the allocation of empty warehouse space from NM-AIST, physical facilities were established through the purchase and installation of equipment and hand tools. Based on the advice from Idea Factory of Seoul National University and Fab-Lab Seoul, iTEC Tech-shop operational system were established. Through a total of 7 technical workshops, iTEC Tech-shop provided training courses for about 180 local personnel. In addition, the smart Techshop test-bed project was promoted in order to improve the operation level along with securing sustainability of the Techshop. The case of the iTEC Tech-shop could be a useful case for institutions or organizations promoting the maker movement to developing countries.

• Korean Journal of Oriental Medicine
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• v.9 no.1
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• pp.1-33
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• 2003

From the study on Doo-Jong Kims view of history about the early Korea$(Korea\;herewith\;stands\;for\;Korea\;dynasty\;A.D.918{\sim}1392)s$ Medicine, I came to a conclusion as follows. 1. Doo-Jong Kim is stressing on the fact that Early Koreas Medicine inherited from Shilla dynasty and seemingly expressing the pride of national medical science. But actually he distorted the Koreas independent growth with flunkeyism and insisted that Koreas medicine only took over Shilla dynastys which based on Chinese Tang dynastys medical science. As a result, Koreas medicine was blurred and evaluated as nothing but Tangs medicine. But, the reasons of Doo-Jong Kims viewpoints were not based on the fact, but on his speculation. 2. About the medical system, Doo-Jong Kim viewed that Korea copied Chinese Soo & Tangs medical system, But the fact is that Korea only borrowed a part of Chinese medical systems name, for examples, Tae-I-Gam, Sang-Yak-Kook, Sang-Sik-Kook, etc., and its actual functions were different and grew in Koreas own way, As a result, the titles or roles in the system were very different from those of Chinas. Especially, Korea saw much development in Science of Acupuncture and Moxibustion that there was a specialist on Acupuncture, called I-Chim-Sa, and even had much influences on Chinese Acupuncture and Moxibustions growth, exporting Hwang-Je-Ne-Kyong to Chinese Song dynasty. 3. About the education system of medicine, Doo-Jong Kim viewed that Koreas medicine was only a copy of Shilla dynastys which was based on Chinese Tang dynastys, taking the medical examination curriculum as an example. The fact is that Tangs medical curriculum was three, Bon-Cho, Kab-Ul, Maek-Kyong, Shilla had seven, Bon-Cho-Kyong, Kab-Ul-Kyong, So-Moon-Kyong, Chim-Kyong, Maek-Kyong, Myong-Dang-Kyong, Nan-Kyong, and Korea had ten, So-Moon-Kyong, Kab-Ul-Kyong, Bon-Cho-Kyong, Myong-Dang-Kyong, Maek-Kyong, Dae-Kyong-Chim-Kyong, Nan-Kyong, Ku-Kyong, Ryu-Yon-Ja-Bang, So-Kyong-Chang-Jeo-Ron. Simply considering this, it is so clear that Koreas medical curriculum was much more upgraded one than that of China. 4. About the examination system for civil service, Doo-Jong Kim expressed that Shilla dynasty did not have such system, and only expounded knowledge of Shilla medicine, In case of China, Tang danasty Hyang-Kong was only a qualification test for civil service, which the result was completely dependent on applicants social status, Song danasty examination system was composed of three steps of Hyang-Si, Sung-Si, Jeon-Si (See Note1), but it stuck to formality by having Jeon-Si of anti-fraudulence use. On the other hand, examination system for civil service in Korea dynasty started in 958 by an advice of Ssang-Ki, Chin-Si in 977 and K대-Ja-Si (See Note 1), a kind of Hyang-Si, in 1024., Three steps of examination system made employment for civil service strictly fair, Moreover, it was possible for offsprings of concubine to be an applicant. These easily explain that the examination system of Korea dynasty was more upgraded one than that of China, Tang ＆ Song dynasty. Hyang-Si : Exam in local area Sung-Si : Exam in province for those who passed Hyang-Si Jeon-Si : Exam held with Koea Kings supervision for those who passed Hyang-Si Keo-Ja-Si : Selective exam in local area like Hyang-Si. From the reasons above, it is clear that Doo-Jong Kim was much biased by flunkeyism through Japanese colonialisam and expressed his view on Korea Medical History based on such theory of heteronomy and stasis. Moreover, without rigid historical evidence on records, he distored the fact by translating incorrectly on his purpose. Therefore, Doo-Jong Kims Korean Medical History must be reevaluated through rigid historical research and his mistranslation should be corrected.