• Korean Journal of Clinical Laboratory Science
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• v.49 no.2
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• pp.171-179
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• 2017

This study investigated the influence factors of retirement expectations among medical technologists at medical centers in Seoul and Gyeonggi area, Korea. Subjects were 158 medical technologists. Using a sampling survey method, data was analyzed between July 2015 and December 2016. There was a negative correlation between educational level and economic preparation, but gender and monthly income did not reach retirement expectation level. Conversely, we found no change in the trends with respect to gender, monthly income; nonetheless, we observed that frustration gradually increased with age and working duration. In conclusion, our findings show that there are four factors that significantly influence retirement expectation and preparation: age, level of education, working duration, and family condition. This study contributes to understanding retirement expectations and can be a reference for retirement preparation in medical technologists.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.4
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• pp.91-103
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• 2024

A tourist destination ranking system was designed that employs a semantic search to extract information with reasonable accuracy. To this end the process involves collecting data, preprocessing text reviews of tourist spots, and embedding the corpus and queries with SBERT. We calculate the similarity between data points, filter out those below a specified threshold, and then rank the remaining tourist destinations using a count-based algorithm to align them semantically with the query. To assess the efficacy of the ranking algorithm experiments were conducted with four queries. Furthermore, 58,175 sentences were directly labeled to ascertain their semantic relevance to the third query, 'crowdedness'. Notably, human-labeled data for crowdedness showed similar results. Despite challenges including optimizing thresholds and imbalanced data, this study shows that a semantic search is a powerful method for understanding user intent and recommending tourist destinations with less time and costs.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.132-139
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• 2005

대한민국 정통부는 IT 산업의 경쟁력 강화를 통한 국가경제발전을 유도하기 위해 8대 서비스, 3대 인프라, 및 9대 신성장동력을 연계하여 시너지효과를 극대화하는 IT 839전략을 마련하여 강력하게 추진 중에 있다. 이러한 상황 하에 향후 IT시장의 선택과 집중을 통한 정책적 육성발전방향을 제시하기 위해서는 9대 신성장동력간 가치사슬에 대한 이해가 최우선 돼야 한다. 본 연구에서는 다차원척도법을 이용하여 IT 신성장 동력 간의 연관성 분석, 시간의 변화에 따른 이동방향 분석, 및 성장동력의 속성을 반영한 PROFIT분석 등을 실시하였다. 본 연구의 결과는 전략적 중요도가 큰 산업 및 분야를 선별 할 수 있을 뿐만 아니라, 효과적인 정책적 투자를 유도하기 위한 전략을 모색할 수 있을 것으로 기대가 된다.

• Journal of Korean Library and Information Science Society
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• v.38 no.3
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• pp.223-246
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• 2007

This study examines the retrieval efficiency of the FRBR-based bibliographic retrieval system. To do this, we built two experimental retrieval systems(a FRBR-based system constructed through FRBRizing algorithms and an OPAC-based retrieval system) using 387 music materials coded in a KORMARC format. Next, we set up six hypotheses and compared these two systems in terms of recall, precision, and retrieval time using 28 participants and a questionnaire with 12 queries. The results show that the average recall value of the FRBR-based system Is higher than that of the OPAC system regardless of query types and the average precision and retrieval time values of manifestation queries of the OPAC system is more efficient that those of the FRBR-based system. This study results can be used to customize digital library interfaces as well as to improve the retrieval efficiency of the bibliographic retrieval system.

• Journal of Korean Society of Transportation
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• v.27 no.2
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• pp.169-178
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• 2009

This study is aimed at identifying the association of commuting behavior with health for workers in the Korea Capital Region. The study surveyed a total of 1,285 commuters whose major work is deskwork-oriented; the authors obtained their health status on body form, blood pressure and cholesterol as well as their commuting behavior. The measures of the latter were comprised of a main commuting mode, a use term, out-of-vehicle time, total travel time, transit transfer, and alternative mode in order to identify the amount of physical activity obtained through commuting behavior. The results indicate that non-automobile commuters are positively associated to improve their health status, as compared to car commuters. Specifically, bus commuters and walkers had decreased weight, blood pressure, and cholesterol, while rail commuters are only correlated to relieving cholesterol. In addition, the measures for health are improved as out-of-vehicle time increases. For commuters who drive to work, their health status tends to be worse.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.119-124
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• 2023

This paper proposes a new reference model that can represent data access with temporal locality and popularity bias. Among existing reference models, the LRU-stack model can express temporal locality, which is a characteristic that the more recently referenced data has, the higher the probability of being referenced again. However, it cannot take into account differences in popularity of the data. Conversely, the independent reference model can reflect the different popularity of data, but has the limitation of not being able to model changes in data reference trends over time. The reference model presented in this paper overcomes the limitations of these two models and has the feature of reflecting both the popularity bias of data and their changes over time. This paper also examines the relationship between the cache replacement algorithm and the reference model, and shows the optimality of the proposed model.

• The Journal of Information Technology and Database
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• v.4 no.1
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• pp.31-50
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• 1997

객체지향 데이터베이스 시스템에서 시간지원 데이터베이스를 다룰 때 발생하는 중요한 문제는 관계 의미에 따라 시간과 속성을 결합하는 방법에 있다. 관계형 모델처럼 속성 버전화에 대한 기존의 연구 결과는 시간지원 객체지향 모델에 적용할 수 없다. 이것은 객체지향 모델이 복합 객체를 구성하기 위해서 기존의 모델보다 더욱 강력한 구성자들을 제공하기 때문이다. 그래서 이 논문은 객체지향 데이터베이스에 시간 개념을 통합하기 위한 형식적 접근방법을 제안한다. 이 논문의 목적은 객체 사이에 관계하는 일반화, 집단화와 연관화에 따라 시간지원 객체지향 데이터베이스 표현을 연구하는 것이다. 이 논문은 시간지원 객체지향 모델에서 속성 버전화의 개념을 정의하고, 객체 사이에 존재하는 관계에 대해서 시간을 표현하는 것에 중점을 둔다. 또한 관계 의미에 대한 제약조건을 규정하고, 표현 기준에 기반하여 검토한다. 이 논문은 객체지향 데이터 모델을 형식화함으로써 대수 연산자의 설계시 강력한 연산 기능을 제공할 뿐만 아니라 모듈의 재사용성을 제공할 수 있다.

• 한국노년학
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• v.30 no.4
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• pp.1281-1292
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• 2010

This study was performed to identify older adults' self-reported difficulties in understanding and utilizing health information and their relationships with health status and to investigate the differences between age groups and among education levels. Data were collected from July 1 to August 31 in 2007 from older adults in senior centers located in Daegu, Kyungpook, and Busan area. A total of 103 subjects participated in the study. The level of understanding health information in older adults was 50 on average (possible score 15-75). The most difficult items to understand were patient educational materials, written information provided by health care providers, and medical forms. The lower level of difficulty in utilizing health information was associated with better physical and mental health status. There were differences in their self-reported difficulties between the young-old and the old-old as well as among different education levels. Health care providers may need to tailor educational materials and medical forms to the cognitive ability of older adults under the consideration of their age and education levels.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.145-154
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• 2017

Technology innovation is regarded as the quintessential process to acquire a competitive advantage. This is especially true in high-tech industries, and firms that recognize the importance of technological innovation concentrate their capacities on developing new technologies, new products, and new processes. In general, such research requires many resources, but not all technological breakthroughs are followed by positive feedbacks. Consequently, the firms in high-tech industries are compelled to find new directions in acquiring technologies. This study examines the factors that influence technological innovation and empirically tests the effect these factors have on its diffusion. Radicality, discontinuity, and exploitation/exploration were selected as the factors from the previous literature on technological innovation and organizational learning. For the empirical test, patent data from the US semiconductor industry were used to describe innovation activities from various fields. From the result, these three factors (Ed- is this what you mean, i.e., radicality, discontinuity, and exploitation/exploration?)were found to have significant meaning as proxies for the diffusion of technological innovation.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.291-299
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• 2012

Ubiquitous computing is a technique to provide users with appropriate services, collecting the context information in somewhere by attached sensor. An intelligent system needs to automatically update services according to the user's various circumstances. To do this, in this paper, we propose a design of context ontology, trigger rule for mining service pattern related to users activity and an active mining architecture integrating trigger system. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.