• 디지털산업정보학회논문지
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• 제14권4호
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• pp.35-45
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• 2018

Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.

• 지식경영연구
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• 제21권4호
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• pp.109-127
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• 2020

본 연구는 정보탐색이 신제품개발 과정과 성과에 미치는 영향을 검증하기 위해 5개 기업의 82개 신제품개발과제에 대한 실증조사를 진행하였다. 정보탐색은 일반정보, 내부정보와 외부정보에 대한 탐색으로 구분하였고, 신제품개발과제의 성과는 기술성과와 시장성과로 구분하였다. 본 연구의 실증결과는 다음과 같다. 내부정보 탐색은 신제품개발과제의 기술지식을 증가시키고, 외부정보 탐색은 신제품개발과제의 시장지식을 증가시켰다. 신제품개발과제의 기술지식과 시장지식은 각각 기술성과를 향상시키고, 시장지식만이 시장성과를 향상시켰다. 전체적으로 신제품개발과제의 기술지식은 내부정보 탐색과 기술성과간의 관계를 완전 매개하였다. 신제품개발과제의 시장지식은 외부정보 탐색과 기술성과간의 관계를 완전 매개하고, 외부정보 탐색과 시장성과간의 관계를 완전 매개하였다. 기술지식 혹은 시장지식은 여기 언급된 조합 이외에 정보 탐색과 신제품개발 성과간의 어떤 관계도 매개하지 않았다. 연구결과에 대한 시사점과 향후 연구방향에 대해 논의하였다.

• 디지털융복합연구
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• 제19권7호
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• pp.87-94
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• 2021

본 연구의 목적은 관광동기로 작용하는 한국의 대중문화에 따라 관광객을 유형화하고 그 특성과 의사결정과정에서의 관광행동 차이를 탐색하는 것이다. 2018 외래관광객 실태조사 자료를 활용하여 12,914명의 여가관광객 표본에 대해 다항로짓(MNL)분석 및 일원분산분석(ANOVA)을 실시하였다. 분석 결과, 음식, 패션, 팝으로 구분된 대중문화 관광객 집단은 그 외 여가관광객 집단과 비교하여 인구통계학적 특성과 관광행동에서 유의미한 차이가 발견되었다. 대중문화 관광객은 다른 여가관광객에 비하여 여성의 비율과 소셜미디어의 활용, 한국과 지리적으로 가까운 국가에서 방문하는 비중이 높았다. 특히 K-pop 관광객은 목적지로서 한국을 선택함에 가장 주저함이 없었고, 한국 방문빈도가 가장 높았다. 또한 관광만족도와 재방문의도, 타인추천의도가 가장 높게 나타나 충성도와 성장 잠재력을 보였다. 본 연구는 세계적 영향력을 넓혀가는 한국 대중문화와 관광의 상호작용에 대한 이해 확장에 의의가 있다.

• Safety and Health at Work
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• 제13권1호
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• pp.23-31
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• 2022

Background: Potato is the main crop of Ardabil Plain (accounting for one-fifth of potato production in Iran). Its health hazard risk to farmers is rising due to the increasing rate of pesticide use. The present study analyzes potato farmers' health hazard risk in the use of chemical pesticides. Methods: The rate of pesticide use by farmers (n = 370) was first compared with the recommended dosage (on pesticide label). Then, a composite index was employed to estimate the health hazard risk of farmers during pesticide use, and the variables accounting for pesticide overuse and nonoveruse were analyzed. Safety behavior was examined in four steps, namely of pesticide purchase and storage, preparation, application, and postapplication. Results: It was found that 74.6 percent of potato farmers used pesticides in higher concentrations than the recommended dosage. The higher average rate of pesticide use versus recommendation (label instruction) was related to Chlorpyrifos and Trifluralin, and the highest average health hazard risk among farmers was related to the use of Chlorpyrifos and Metribuzin. Farmers with a higher risk of health hazard displayed much lower safety behavior than the other farmers at all steps of pesticide use. Conclusion: The most important variables discriminating the health hazard risk of farmers' overuse included health behavior identity, attitude, knowledge and awareness, and cues to action. Therefore, using social media, holding local exhibitions, and engaging local leaders and skilled farmers in the region to improve farmers' attitudes and health behavior identity toward the dangers of chemical pesticides can play a significant role in motivating farmers' display of overuse preventive behaviors.

• 정보관리학회지
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• 제39권3호
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• pp.311-336
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• 2022

본 연구는 도서관 정보서비스 환경에서 도서 이용자의 도서추천에 영향을 미치는 선호요인을 파악하기 위해 전 세계 도서 이용자의 참여로 이루어지는 사회적 목록 서비스인 Goodreads 리뷰 데이터를 대상으로 내용분석하였다. 이용자 선호의 내용을 보다 세부적인 관점에서 파악하기 위해 샘플 선정 과정에서 평점 그룹별, 도서별, 이용자별 하위 데이터 집합을 구성하였으며, 다양한 토픽을 고루 반영하기 위해 리뷰 텍스트의 토픽모델링 결과에 기반하여 층화 샘플링을 수행하였다. 그 결과, '내용', '캐릭터', '글쓰기', '읽기', '작가', '스토리', '형식'의 7개 범주에 속하는 총 90개 선호요인 관련 개념을 식별하는 한편, 평점에 따라 드러나는 일반적인 선호요인은 물론 호불호가 분명한 도서와 이용자에서 드러나는 선호요인의 양상을 파악하였다. 본 연구의 결과는 이용자 선호요인의 구체적 양상을 파악하여 향후 추천시스템 등에서 보다 정교한 추천에 기여할 수 있을 것으로 보인다.

• 정보관리학회지
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• 제40권3호
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• pp.55-76
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• 2023

본 연구는 대학도서관의 주제가이드 개발 및 개선을 위한 고려사항을 도출하기 위해 대학도서관의 주 이용자인 대학생을 중심으로 학술정보 탐색행태를 분석하였다. 분석 결과, 대학생들은 자신의 주관적 정보탐색능력 수준을 높게 평가하고 있었으나, 구체적인 검색어의 설정을 어려워하는 것으로 나타났다. 학술정보 이용 목적은 구체적이며, 하나의 데이터베이스에서 모든 정보탐색행위를 수행하고자 하는 경향을 보이고 있다. 또한 정보자원 선택 시 신뢰성, 적합성, 최신성을 주로 고려하고 있으며, 대학도서관 및 주제가이드에 대한 인식은 전반적으로 낮게 나타났으나 이에 대한 신뢰성은 높은 것으로 분석되었다. 이를 기반으로 향후 대학도서관에서 주제가이드를 개발하거나 개선할 때는 구체적인 정보탐색 목적에 따른 정보원 분류, 정보자원의 유형별 구성, 정보자원 선택 기준 관련 설명 요소 기술, 종합 데이터베이스에 대한 안내, 주제 키워드 추천, 도서관 마케팅 및 내부 기관과의 긴밀한 협업 관계를 고려하는 것이 필요하다.

• 디지털산업정보학회논문지
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• 제18권1호
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• pp.55-64
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• 2022

This study analyzes the success factors of OTT original content through big data, and intends to suggest scenarios, casting, fun, and moving elements when producing the next work. In addition, I would like to offer suggestions for the success of 'Squid Game Season 2'. The success factor of 'Squid Game' through big data is first, it is a simple psychological experimental game. Second, it is a retro strategy. Third, modern visual beauty and color. Fourth, it is simple aesthetics. Fifth, it is the platform of OTT Netflix. Sixth, Netflix's video recommendation algorithm. Seventh, it induced Binge-Watch. Lastly, it can be said that the consensus was high as it was related to the time to think about 'death' and 'money' in a pandemic situation. The suggestions for 'Squid Game Season 2' are as follows. First, it is a fusion of famous traditional games of each country. Second, it is an AI-based planned MD product production and sales strategy. Third, it is casting based on artificial intelligence big data. Fourth, secondary copyright and copyright sales strategy. The limitations of this study were analyzed only through external data. Data inside the Netflix platform was not utilized. In this study, if AI big data is used not only in the OTT field but also in entertainment and film companies, it will be possible to discover better business models and generate stable profits.

• Journal of Smart Tourism
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• 제2권1호
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• pp.5-19
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• 2022

Smart tourism is seen as a revolution in the tourism industry, involving innovative and transformative theoretical-practical approaches for the sector. As a result of its application in the tourist context, benefits can be seen such as more sustainable practices, greater mobility and better accessibility in destinations, evolution of processes and experiences of tourists. Much of this is achieved through the support of technological solutions. However, despite the immense expectations, and the many researches carried out on it, a literature summary regarding the dimensions that can be observed in each application of this smart tourism has not yet been proposed. Therefore, supported by the PRISMA recommendation, this research proposed to carry out an integrative review of the literature on smart tourism (in its different levels of application, such as the city, the destination and the smart tourism region), with the objective of mapping the dimensions that underlie it. Thus, from an initial scope of 833 intellectual productions obtained, inputs were found for the dimensions in 363 of them after a thorough analysis. The compilation of data obtained from these productions supported the proposition of 14 operational dimensions of smart tourism, namely: collaboration, technology, sustainability, experience, accessibility, knowledge management, innovation management, human capital, marketing, customized services, transparency, safety, governance and mobility. With this set of dimensions, it is envisaged that the implementation of smart tourism projects can present more comprehensive and assertive results. In addition, shortcomings and opportunities for new research that support the evolution of the theory and practice of smart tourism are highlighted.

• 웰빙융합연구
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• 제5권4호
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• pp.19-31
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• 2022

Purpose: This study was conducted to identify indoor air quality in various living spaces using sensors that can measure noise, vibration, fine dust, and odor in real time and to propose optimal indoor air quality maintenance management using Internet of Things(IoT). Research design, data and methodology: Using real-time sensors to monitor physical factors and environmental air pollutants that affect the comfort of the residential environment, Noise, Vibration, Atmospheric Pressure, Blue Light, Formaldehyde, Hydrogen Sulfide, Illumination, Temperature, Ozone, PM10, Aldehyde, Amine, LVOCs and TVOCs were measured. It were measured every 1 seconds from 4 offices and 4 stores on a small scale from November 2018 to January 2019. Results: The difference between illuminance and blue light for each measuring point was found to depend on lighting time, and the ratio of blue light in total illumination was 0.358 ~ 0.393. Formaldehyde and hydrogen sulphide were found to be higher than those that temporarily attract people in an indoor office space that is constantly active, requiring office air ventilation. The noise was found to be 50dB higher than the office WHO recommendation noise level of 35 ~ 40dB. The most important factors for indoor environmental quality were temperature> humidity> illumination> blue light in turn. Conclusions: Various factors that determine the comfort of indoor living space can be measured with real-time sensors. Further, it is judged that the use of IoT can help maintain indoor air quality comfortably.

• 한국식생활문화학회지
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• 제25권6호
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• pp.652-660
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• 2010

The aim of this study was to develop a KDPS (Korean dietary pattern score) to assess dietary patterns and diet quality of Koreans from a food culture perspective. The KDPS was applied to dietary data collected during the Korean National Health and Nutrition Examination Survey of 2007, and the validity and reliability of the KDPS were evaluated. The targets of the study included 2,278 Korean adults aged 20n89 years. The KDPS was developed using the sum of the scores of 13 components. Each component scored up to 10 points and there was a total of 130 points. The first seven components were for the KSMS (Korean-style meal score) and assessed the dietary balance based on the 3-Chup Bansang daily basic table setting. The components numbered 8 to 13 were for the FGS (food group score), which measured the degree of compliance with the six major food groups based on the Korean recommendation for one serving size of grains, meats, vegetables, fruits, milk, and oils. This KDPS was verified through content validity, concurrent-criterion validity, principal components analysis, and a reliability analysis. The results showed that content validity and construct validity were high. The KDPS developed in this study adhered to the Korean dietary pattern and a healthy diet intake. Furthermore, this study presented an integrated index by scoring the Korean style table setting in addition to evaluating meals from a nutrition perspective. This study can be extended to develop a score for assessing.