• 한국임상약학회지
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• 제25권3호
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• pp.138-144
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• 2015

Objective: It is to evaluate the drug interaction monitoring program as a pilot project to develop a pharmaceutical care model in a medical intensive care unit and to analyze the influencing factors of drug interactions. Method: Electronic medical records were retrospectively investigated for 116 patients who had been hospitalized in a medical intensive care unit from October to December in 2014. The prevalence of adverse reaction with risk rating higher than 'D' was investigated by Lexi-$Comp^{(R)}$ Online database. The factors related with potential drug interaction and with treatment outcomes were analyzed. Results: The number of patients with a potential interaction of drug combination was 92 (79.3%). Average ages, the length of stay in the intensive care unit and the numbers of prescription drugs showed significant differences between drug interaction group and non-drug interaction group. Opioids (14.4%), antibiotics (7.2%), and diuretics (7.2%) were most responsible drug classes for drug interactions and the individual medications included furosemide (6.4%), tramadol (4.9%), and remifentanil (4.5%). There were 950 cases with a risk rating of 'C' (84.6%), 142 cases with a risk rating of 'D' (12.6%), and 31 cases with a risk rating of 'X' (avoid combination) (2.8%). The factors affecting drug interactions were the number of drugs prescribed (p < 0.0001) and the length of stay at intensive care unit (p < 0.01). The patients in intensive care unit showed a high incidence of adverse reactions related to potential drug interaction. Therefore, drug interaction monitoring program as a one of pharmaceutical care services was successfully piloted and it showed to prevent adverse reaction and to improve therapeutic outcomes. Conclusion: Active participation of a pharmacist in the drug management at the intensive care unit should be considered.

• 복식
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• 제56권2호
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• pp.83-100
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• 2006

As online fashion businesses achieve rapid growth in the last few years, they gather various kinds of customer information through customer registration procedures and expect to utilize this information for CRM programs. The purpose of this study were to understand the current practices of customer information management of online fashion companies and to discuss how to improve it for the benefit of both customers and fashion businesses. This study included three steps of empirical data collection process: First, online fashion companies were visited and content analyzed at three time periods-2002, 2003, and 2004. Second, a questionnaire was developed and surveyed with 488 customers. And third, interviews with two groups were conducted, one with customers who experienced customer registration with online fashion companies and the other with experts of web developing. Through customer registration procedures, personal and contact information such as name, citizen registration number(social security number), home address, home telephone number, and cellular phone number were most frequently required. Customers were asked to provide more specific information regarding their privacy, online behavior, and taste recently. The variety of information category in 2004 observation was larger than 2002, but the amount of required information from each company got smaller. Customers tended to provide some false infor- mation, and the most frequently cited reason for that was 'too much hassle' and 'no practical benefit from information provision'. Customers were concerned with the exposure of personal information such as citizen registration number. The ideal number of pieces of information required was identified as 3 to 5 including name, phone number, and address. The paper was concluded with the discussion of customer information management from CRM perspective, CRM program, information analysis methods, and security.

• 대한통합의학회지
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• 제11권1호
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• pp.113-120
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• 2023

Purpose : This study aims to investigate occupational therapy students' perceptions of sensory integration therapy and the effect of an educational program on these perceptions and future preferences. Methods : The participants were 200 occupational therapy students in Busan and Gyeongsangnam-do. A primary survey was first conducted to shed light on students' perceptions of sensory integration therapy, followed by an education program on sensory integration provided through an online video. After this training on sensory integration therapy, an additional survey assessed the their preferred employment routes and intention to take educational courses on clinical sensory integration therapy in the future. A secondary survey was then conducted, using the same form as the primary survey, to identify changes in the students' perceptions of and preferences for sensory integration therapy. A frequency analysis using descriptive statistics was employed to identify the participants' general characteristics, employment-related preferences, and intention to take courses on sensory integration, and a paired samples t-test was used for a comparative analysis of the students' perceptions before and after the education program. Results : In terms of the students' perceptions of sensory integration therapy, the variables of efficiency, facilitation, and expertise showed statistically significant differences before and after the educational program, which resulted in a positive change in their overall perceptions of the therapy after the program. In relation to their preferred employment routes after the program, 100 students (50 %) answered the "field of adults," and 100 (50 %) students answered the "field of children." Conclusion : The findings of this study demonstrated that sensory integration education positively influences occupational therapy students' preferences for and perceptions of sensory integration therapy. Additional research is recommended to organize a more systematic education program and investigate employees in organizations related to children with disabilities.

• 정보보호학회논문지
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• 제28권5호
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• pp.1153-1160
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• 2018

온라인 게임 이용자가 증가하고 시장 규모가 커지면서 여러 가지 부정행위가 발생하고 있다. 게임 봇은 플레이 시간을 확보하고, 계정 레벨업과 각종 재화 획득을 용이하게 해주는 대표적인 불법 프로그램이다. 본 연구에서는 이용자의 행위 시간 간격(ATI)을 기반으로 게임 봇을 탐지하는 기법을 제안한다. 이 기법은 게임에서 봇의 행위를 관찰하여 빈도수가 많은 행위를 선별한다. 선별된 행위별로 빈도수, ATI 평균, ATI 표준편차를 feature로 Machine Learning을 적용하여 정상 사용자와 게임 봇을 구분한다. 제안한 기법의 유효성을 검증하기 위해 '아이온' 게임의 실제 로그를 이용하여 성능을 측정하였고, 97%의 정확도를 보였다. 이 방법은 캐릭터의 움직임, 소셜 행위 뿐 아니라 이용자의 모든 행위를 이용할 수 있으므로 다양한 게임에 적용할 수 있다.

• 한국환경복원기술학회지
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• 제25권4호
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• pp.49-65
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• 2022

Since trees in the city are green assets that create a healthy environment for the city, systematic management of trees improves urban ecosystem services. The sporadic urban tree information centered on the site is vast, and it is difficult to manage the data, so efforts to increase efficiency are needed. This paper summarizes tree data inventory based on data constructed by Seoul Green Trust activists and constructs and discloses online database maps using Tableau Software. In order to verify the utilization of the map, we divided into consumer and supplier aspects to collect various opinions and reflect feedback to implement tree database maps for each area and species of Seoul Forest. As a result, the utilization value of tree database in urban parks was presented. The technical significance of this study is to systematically record the process of constructing and implementing a dashboard directly using the Mapbox platform and Tableau Software in the field of landscaping for the first time in Korea. In addition, the implications and supplements of landscape information were derived by collecting user opinions on the results. This can be used as an exploratory basis in the process of developing online-based services such as web and apps by utilizing landscaping tree information in the future. Although the visualization database currently constructed has limitations that ordinary users cannot interact in both directions because it utilizes business intelligence tools in terms of service provision it has affirmed both the database construction and its usability in web public format. In the future it is essential to investigate the assets of the trees in the city park and to build a database as a public asset of the city. The survey participants positively recognized that information is intuitively presented based on the map and responded that it is necessary to provide information on the overall urban assets such as small parks and roadside trees by using open source maps in the future.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.442-445
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• 2012

천안함 폭침 사건이 2년이 경과하면서 미사일 발사 등의 군사적 충돌이 문제가 되고 있다. 특히 실제로 군사적 훈련에는 물리적인 한계가 있어 CBT를 활용한 군사 시뮬레이션 교육에 대한 연구가 필요하다. 본 논문에서는 군특성화 고등학교에서 CBT를 활용하여 화포와 총포 수리에 대한 기능을 On-Line에서 시뮬레이션을 통해 교육을 실시한 후 그 효과를 연구 분석하였다. 또한 화포 수리병을 양성하기 위하여 사용되는 CBT를 활용한 시뮬레이션 교육 실시 집단과 CBT 시뮬레이션 교육을 실시하지 않은 집단 간에 학습효과를 비교 연구한다.

• The Journal of Korean Physical Therapy
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• 제33권4호
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• pp.193-201
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• 2021

Purpose: The aim of this study was to compare dementia awareness among physiotherapists and occupational therapists who treat dementia patients and provide opportunities to increase dementia awareness as medical technicians, expand the scope of treatment, and enhance professionalism. Methods: An online survey was conducted from January 8th to 19th, 2021 for physical therapists who are members of the Korean Physical Therapist Association and Occupational therapists who are members of the Korean Occupational Therapists Association. The collected data were analyzed using the SPSS 21.0 program. To verify the difference in the awareness of dementia among medical technicians, a t-test was performed, and the chi-square test was used to analyze the difference in the responses for each question. Results: In this study, occupational therapists had a significantly higher average and standard deviation than physical therapists. Occupational therapists also had a significantly higher level of dementia awareness, including dementia symptom-related, dementia disease-related, and dementia therapy knowledge. Conclusion: The results of this study indicate that various educational initiatives and systems should be developed to help medical professionals increase their awareness and interest on dementia as a community, which can enable them to move in the same treatment direction with a common goal.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.166-171
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• 2024

Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.4090-4102
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• 2018

After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.

• Journal of Information Technology Applications and Management
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• 제20권3호
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• pp.19-30
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• 2013

The objective of this research is to identify a web portal's specific functions and layouts that are aligned with personality trait of an individual internet user. This first stage of the overall research project intends to check whether the research instrument, namely the NEO Five Factors Inventory (NEO-FFI), is applicable to assess the personality traits of Thai internet users. Based on these personality traits, text-based description of functions/layouts of a web portal was developed and given to professional designers to mock up example web portal pages. These web portal pages were in alignment with individual personality traits. Rating data on the functions/layouts corresponding to individual personality traits were collected from an online survey of 207 Thai internet users. Results showed that respondents gave more consistent rating to the functions/layouts close to their individual personality traits identified in the text-based descriptions than in the mocked-up web portal pages.