• Journal of Korean Society of Rural Planning
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• v.29 no.1
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• pp.29-35
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• 2023

Although Due to industrial development and urbanization, the number of schools closing due to a decrease in the school-age population is increasing due to the phenomenon of relocation from farming and fishing villages. Closing schools are used as social and cultural facilities, or they are used to generate income by providing education and experiences. Agro-healing is an activity that promotes psychological, social, and physical health by using rural resources. By reflecting the Agro-healing in the services operated by the closed school, the perception of the provision of the Agro-healing service was investigated as a way to provide a therapeutic service to visitors and to increase the utilization of the closed school. The questionnaire consisted of 10 questions, a total of 5 questions related to demographic information, a total of 5 questions related to the perception of agro-healing activities in closed school facilities. As a result, 347 people participated in the survey. The higher the awareness of agro-healing, the need for a agro-healing expert, the satisfaction with the use of rural closed school facilities, and the willingness to participate in agro-healing activities, the higher the awareness that the provision of agro-healing services was necessary by the state. Theses results are expected to be useful as basic to data to solve the diverse limitation in rural closed school and agro-healing activities.

• Smart Media Journal
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• v.10 no.1
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• pp.88-98
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• 2021

As blockchain technology has emerged as a security issue for IoT, technology which integrates block chain into IoT is being studied. In this paper is a research concerning token-based IoT service access control technology for data sharing, which propose a possessor focused data sharing technic by using the permissioned blockchain. To share IoT health data, a Hyperledger Fabric Network consisting of three organizations was designed to provide a way to share data by applying different access control policies centered on device owners for different services. In the proposed system, the device owner issues access control tokens with different security levels applied to the participants in the organization, and the token issue information is shared through the distributed ledger of the HFN. In IoT, it is possible to lightweight the access control processing of IoT devices by granting tokens to service requesters who request access to data. Furthmore, by sharing token issuance information among network participants using HFN, the integrity of the token is guaranteed and all network participants can trust the token. The device owners can trust that their data is being used within their authorized rights, and control the collection and use of data.

• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.283-296
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• 2012

The goal of this study is to determine the social emotion model as an emotion sharing relationship and information sharing relationship based on the user's relations at social networking services. 26 social emotions were extracted by verification of compliance among 92 different emotions collected from the literature survey. The survey on the 26 emotion words was verified to the similarity of social relation types to the Likert 7-points scale. The principal component analysis of the survey data determined 12 representative social emotions in the emotion sharing relation and 13 representative social emotions in the information sharing relation. Multidimensional scaling developed the two-dimensional social emotion model of emotion sharing relation and of information sharing relation based on online communication environment. Meanwhile, insignificant factors in the suggest social emotion models were removed by the structural equation modeling analysis, statistically. The test result of validity analysis demonstrated the fitness of social emotion models at emotion sharing relationships (CFI: .887, TLI: .885, RMSEA: .094), social emotion model of information sharing relationships (CFI: .917, TLI: .900, RMSEA : 0.050). In conclusion, this study presents two different social emotion models based on two different relation types. The findings of this study will provide not only a reference of evaluating social emotions in designing social networking services but also a direction of improving social emotions.

• 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.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.151-176
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• 2021

As the information technology industry develops, various kinds of data are being created, and it is now essential to process them and use them in the industry. Analyzing and utilizing various digital data collected online and offline is a necessary process to provide an appropriate experience for customers in the industry. In order to create new businesses, products, and services, it is essential to use customer data collected in various ways to deeply understand potential customers' needs and analyze behavior patterns to capture hidden signals of desire. However, it is true that research using data analysis and UX methodology, which should be conducted in parallel for effective service development, is being conducted separately and that there is a lack of examples of use in the industry. In thiswork, we construct a single process by applying data analysis methods and UX methodologies. This study is important in that it is highly likely to be used because it applies methodologies that are actively used in practice. We conducted a survey on the topic to identify and cluster the associations between factors to establish customer classification and target customers. The research methods are as follows. First, we first conduct a factor, regression analysis to determine the association between factors in the happiness data survey. Groups are grouped according to the survey results and identify the relationship between 34 questions of psychological stability, family life, relational satisfaction, health, economic satisfaction, work satisfaction, daily life satisfaction, and residential environment satisfaction. Second, we classify clusters based on factors affecting happiness and extract the optimal number of clusters. Based on the results, we cross-analyzed the characteristics of each cluster. Third, forservice definition, analysis was conducted by correlating with keywords related to happiness. We leverage keyword analysis of the thumb trend to derive ideas based on the interest and associations of the keyword. We also collected approximately 11,000 news articles based on the top three keywords that are highly related to happiness, then derived issues between keywords through text mining analysis in SAS, and utilized them in defining services after ideas were conceived. Fourth, based on the characteristics identified through data analysis, we selected segmentation and targetingappropriate for service discovery. To this end, the characteristics of the factors were grouped and selected into four groups, and the profile was drawn up and the main target customers were selected. Fifth, based on the characteristics of the main target customers, interviewers were selected and the In-depthinterviews were conducted to discover the causes of happiness, causes of unhappiness, and needs for services. Sixth, we derive customer behavior patterns based on segment results and detailed interviews, and specify the objectives associated with the characteristics. Seventh, a typical persona using qualitative surveys and a persona using data were produced to analyze each characteristic and pros and cons by comparing the two personas. Existing market segmentation classifies customers based on purchasing factors, and UX methodology measures users' behavior variables to establish criteria and redefine users' classification. Utilizing these segment classification methods, applying the process of producinguser classification and persona in UX methodology will be able to utilize them as more accurate customer classification schemes. The significance of this study is summarized in two ways: First, the idea of using data to create a variety of services was linked to the UX methodology used to plan IT services by applying it in the hot topic era. Second, we further enhance user classification by applying segment analysis methods that are not currently used well in UX methodologies. To provide a consistent experience in creating a single service, from large to small, it is necessary to define customers with common goals. To this end, it is necessary to derive persona and persuade various stakeholders. Under these circumstances, designing a consistent experience from beginning to end, through fast and concrete user descriptions, would be a very effective way to produce a successful service.

• Journal of Korean society of Dental Hygiene
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• v.11 no.6
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• pp.843-852
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• 2011

Objectives : The aims of the study were to examine perceived oral malodor and self-reported need for oral and dental care among patients receiving oral prophylaxis services and provide guidelines for developing educational programs(toothbrushing method and tongue cleaning) for oral hygiene and oral malodor prevention. Methods : The survey was administered to a sample of 462 receiving voluntary oral prophylaxis service in a dental laboratory at the J School of Public Health in Korea. The subjects were asked a range of questions related to the degrees of perceived oral malodor and concern for oral health status, as well as their demographic information and need for oral and dental treatment. Univariate analyses using Chi-square and T-test with a P-value of .05 were performed using SPSS Version 12.0 for Windows. Results : 1. Male participants reported "moderately concerned for bad breath and smell" and "I don't care bad breath and smell" 39.1% and 26.2% respectively, while more female participants were concerned for oral malodor. "moderately concerned for malodor" and" highly concerned for malodor" 41.1% and 28.5%(p<.05). a significant difference among age groups was found. 19% of young adults (less than or equal to 29 years of age) reported "highly concerned for bad breath and smell" while 36.4% of older adults (greater than or equal to 50 years of age) reported "highly concerned for bad breath and smell"(p<.05). 2. 12 non-smoking participants (3.7%) and 15 smoking participants (10.8%) reported that they have perceived bad breadth and smell (p<.05). 3. Smoking participants reported a higher degree of need for oral malodor treatment than that of non-smoking participants 88.5% and 82% respectively(p<.05). 4. The participants who did regular toothbrushing more than 3 times a day reported "no malodor", 77 % as compared to 66.7% of the participants who did regular toothbrushing 2 times a day. Toothbrushing 2 times a day reported either "moderate malodor" or "sever malodor"(p<.01). Participants with more frequent toothbrushing reported less oral and breath odor as compared participants with less frequent toothbrushing. Conclusions : The study suggested that there is a need to oral prophylaxis for prevention and toothbrushing and tongue cleaning method oral malodor care and oral health status.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2926-2934
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• 2010

The purpose of this study was to examine the satisfaction level and behavioral intention of visitors in a health care and medical equipment fair in consideration of their benefits sought. The purpose is basically meant to identify the relationship of variables related to the satisfaction level of the visitors, their satisfaction level with benefits sought and behavioral intention to provide useful information to hosts of health care and medical equipment fairs and related people. The subjects in this study were 250 people who were selected from among the visitors in a health care and medical equipment fair in Wonju. After a survey was conducted, the collected data were analyzed by SPSS 14.0 and AMOS 16.0 programs, and descriptive statistics, factor analysis, reliability analysis and structural equation modelling were utilized. The findings of the study were as follows: Benefits sought had a significant impact on satisfaction level and behavioral intention, and satisfaction level affected behavioral intention in a significant manner as well. So all the hypotheses formulated in the study were accepted, and those who hosted a health care and medical equipment fair should try to address the needs of participants in the light of their characteristics and provide appropriate event products and services to stir up their satisfaction level and behavioral intention.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.6
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• pp.89-95
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• 2008

The introduction of wireless information technology gives rise to new mobile services in all kinds of areas of out daily life. Mobile healthcare system is a production of composite ICT (Information and Communication Technology) which focused on signal sensing, processing, and communication in wireless environment. The mobile and wireless revolution promises not only expanded access to patient health information, but also improved patient care. In this paper, we describe a surrogate host based mobile healthcare information system which utilized Grid computing for real-time ECG signal processing. The surrogate host provides seamless interface between mobile device and Medical Grid portal. The security extension of GSI (Grid Security Infrastructure) allows mobile users to access Grid portal in a secure and convenient manner. The presented system architecture can be used as a secure enterprise mobile healthcare system for hospital physicians.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.12
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• pp.2349-2354
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• 2006

Due to technological developments and the joint effect of both new social and economic needs and constraints, telemedicine is expanding rapidly through a variety of applications. Especially, owing to the rapid aging of society and increasing the wish for well being life, we take interest in health care services for people with special needs who wish to remain independent and living in their own home. We have focused on tole-monitoring to real-time medical signal and environment factor which is an influence on medical signal. We monitor the six signal(medical signal and environment factor), and transmit that signal to computer on bluetooth network. We get the information after using the some digital signal processing system, and display that information on the real-time monitoring system. We developed the measurer as portable type in older to non-restrained monitor.

• Journal of the Korean Data and Information Science Society
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• v.27 no.3
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• pp.599-607
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• 2016

The first patient of Middle East respiratory syndrome caused by a novel coronavirus infection in Korea was confirmed on May 20, 2015. After that, MERS spread over the country. In recent years, patients of MERS have been found around the Arabian Peninsula and the case fatality ratio of MERS in those area was been reported to range from 30 to 40%. In this paper, we estimate the case fatality ratio of MERS of Korea using data of 186 infections until December 1, 2015. In this study we propose a novel estimator of the case fatality ratio using information of the patients severity condition as well as records on the days of confirmation and death or recovery of the patient. By using publicly available data of the Department of Health and Human Services Centers for Disease Control, we evaluate a performance of the estimator and demonstrate a stability of the estimator from the early stage of the epidemic.