• 한국HCI학회논문지
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• 제10권1호
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• pp.19-27
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• 2015

모바일 헬스(m-health) 시장은 특히 젊은 연령층 사이에서 스마트폰과 같은 모바일 기기를 통해 건강 컨텐츠를 활용하는 양상으로 발전하면서 확장하고 있는 추세이다. 이 연구는 서울대학교 대학(원)생을 대상으로, 젊은 층의 건강 어플리케이션 사용 현황 및 지속적 사용요인을 살펴봄으로써 건강 어플리케이션의 기전을 보다 파악하여 앞으로 등장할 가능성이 높은 모바일 헬스를 활용한 건강증진 프로그램에 기초 자료를 제공할 것으로 본다. 연구 방법으로는 연구 대상자의 인구학적 특성 및 지속적 사용여부에 따른 앱 이용 성향의 차이를 분석하고, 건강 어플리케이션에 대한 지식(Knowledge), 태도(Attitude), 믿음(Belief), 실천(Practice) 수준을 비교하였다. 지속적으로 건강 어플리케이션을 사용하는 집단은 전체의 28%로, 이들의 건강 어플리케이션에 대한 지식, 태도, 믿음, 실천(KABP)에 대한 정도가 건강 어플리케이션 사용중단자에 비하여 높았다. 본 연구는 기존 선행연구들의 마케팅 차원의 서비스 만족도 및 수용도 분석에서 더 나아가, 보건학적 관점에서 건강 어플리케이션 이용 욕구를 폭넓게 분석했다는 데 그 의의가 있다

• 대한지역사회작업치료학회지
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• 제4권1호
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• pp.11-21
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• 2014

목적 : 20대 및 30대 장애인의 시간사용을 알아보고 많은 시간을 소요하는 활동이 무언인지에 따라 희망이 어떻게 달라지는지를 분석하였다. 연구방법 : 본 연구는 2012년 11월 29일부터 12월 6일까지 부산 및 경남 지역의 재활병원에서 치료를 받고 있는 장애인 52명이 참여하였으며 주말과 평일의 일상생활시간조사를 포함한 설문지로 일대일 면접을 하였다. 결과 : 대상자들은 시간사용에서 주말에는 수면(10시간 47분)과 미디어 사용(3시간 41분), 평일에는 수면(9시간 43분)과 건강관리(5시간 12분)에 많은 시간을 소요하였다. 또한 시간사용과 희망의 관계에서는 가정관리가 주도사고와 양의 상관관계(.688)로 나타났다(p<.05). 그러나 시간사용은 희망에 영향을 미치지 않는 것으로 나타났다. 결론 : 20대 및 30대 장애인의 시간사용과 희망을 확인할 수 있었다. 이는 향후 재활분야의 전문가들에게 20대 및 30대 장애인들이 참여할 수 있는 활동을 다양하게 제시해줄 것을 제안한다.

• 산업경영시스템학회지
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• 제42권4호
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• pp.153-164
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• 2019

Since the appearance of smartphones, the smartphone market has been in fierce completion by new technologies and marketing trends. The smartphone market is now somewhat saturated, and the manufacturers are trying to improve their position in the market through the repurchase of existing customers and the influx of competitors. At the same time, customers have their own purchasing criteria for smartphones. Therefore, manufacturers need to determine new technology and marketing trends based on customer purchasing trends and usage characteristics. The aim of this study is to analyze the quality attributes of smartphones. We conducted a survey on 220 respondents, and divided the respondents into several groups by purchasing trends and usage characteristic through cluster analysis. The groups are analyzed and compared based on the Kano model for the quality attributes of smartphone. The analysis result are as follows. Firstly, purchasing trends divide responders into groups that prefers high-end premium smartphones and those that take into account practicality in terms of purchasing trends. Secondly, usage characteristic divide responders into three groups: those with clear usage pattern, those who prefer ease of use, and the rest, and we find out that those with clear usage pattern are important customer in viral marketing. Lastly, Kano analysis is revealed the 'Slow/hi-speed camera', 'Private mode', 'Widget', 'Health care' are attractive quality attributes.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2005년도 추계종합학술대회
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• pp.436-439
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• 2005

최근 모바일 컴퓨터 및 임베디드 시스템이 대중화 되면서 전력, 공간, CPU 클럭, 메모리 등과 같은 자원을 효율적으로 사용하기 위한 연구가 많이 진행되고 있다. 기존의 임베디드 시스템 개발에서는 하드웨어 측면의 자원 사용에 대한 연구가 주를 이루어 졌으나 최근 임베디드 시스템에서 소프트웨어의 비중이 커짐에 따라 소프트웨어 측면에서의 자원 사용에 대한 연구가 필요하게 되었다. 본 연구에서는 임베디드 시스템의 자원 사용을 분석하는 새로운 방법인 '명령어 기반의 자원 사용 분석 방법(Instruction Level Resource Usage Analysis Method'을 제안하고 이를 'I-Debugger'라는 도구로 구현하였다. I-Debugger는 프로그램을 명령어 단위의 수행으로 제어하는 디버깅 층(Debugging Layer), 실시간으로 수행되는 명령어에 대한 데이터를 활용 가능한 정보를 변환하는 통계 층(Statistics Layer) 및 분석하고자 하는 응용에 적합하게 정보를 분석하는 분석 층(Analysis Layer)으로 구성된다. 본 연구에서 개발된 I-Debugger를 간단한 문제에 적용한 결과 자원 효율적인 임베디드 시스템 개발에 매우 유용하게 사용될 수 있음을 알 수 있었다.

• Journal of Plant Biotechnology
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• 제49권1호
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• pp.46-60
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• 2022

The genetic variability and population structure of apple mosaic virus (ApMV) have been studied; however, synonymous codon usage patterns influencing the survival rates and fitness of ApMV have not been reported. Based on phylogenetic analyses of 52 ApMV coat protein (CP) sequences obtained from apple, pear, and hazelnut, ApMV isolates were clustered into two groups. High molecular diversity in GII may indicate their recent expansion. A constant and conserved genomic composition of the CP sequences was inferred from the low codon usage bias. Nucleotide composition and relative synonymous codon usage (RSCU) analysis indicated that the ApMV CP gene is AU-rich, but G- and U-ending codons are favored while coding amino acids. This unequal use of nucleotides together with parity rule 2 and the effective number of codon (ENC) plots indicate that mutation pressure together with natural selection drives codon usage patterns in the CP gene. However, in this combination, selection pressure plays a more crucial role. Based on principal component analysis plots, ApMV seems to have originated from apple trees in Europe. However, according to the relative codon deoptimization index and codon adaptation index (CAI) analyses, ApMV exhibited the greatest fitness to hazelnut. As inferred from the results of the similarity index analysis, hazelnut has a major role in shaping ApMV RSCU patterns, which is consistent with the CAI analysis results. This study contributes to the understanding of plant virus evolution, reveals novel information about ApMV evolutionary fitness, and helps find better ApMV management strategies.

• 한국정보시스템학회지:정보시스템연구
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• 제8권2호
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• pp.29-47
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• 1999

Most organization are using E-mail(electronic mail) currently, but we seldom see the organizational success from the E-mail utilization strategically. There are many research which are focusing on the selection and usage of E-mail as a electronic communication media based on Information Richness Theory and Critical Social Theory. The purpose of this study is to investigate the effects by using E-mail through providing the model of perceived impacts. This model considers the moderate factors such as top management supports, organizational usage, and organizational pressure based on CST. Also it provides the guideline how to use E-mail strategically.

• Communications for Statistical Applications and Methods
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• 제8권1호
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• pp.271-279
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• 2001

Sequential pattern discovery is one of main interests in web usage mining. the technique of sequential pattern discovery attempts to find inter-session patterns such that the presence of a set of items is followed by another item in a time-ordered set of server sessions. In this paper, a tree-based sequential pattern finding method is proposed in order to discover navigation patterns in server sessions. At each learning process, the suggested method learns about the navigation patterns per server session and summarized into the modified Rymon's tree.

• 한국BIM학회 논문집
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• 제6권3호
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• pp.49-56
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• 2016

As project opportunities for the Architecture, Engineering and Construction (AEC) industry have grown more complex and larger, the utilization of Building Information Modeling (BIM) technologies for three-dimensional (3D) design and simulation practices has been increasing significantly; the typical applications of the BIM technologies include clash detection and design alternative based on 3D planning, which have been expanded over to the technology of construction management in the AEC industry for virtual design and construction. As for now, commercial BIM software has been operated under a single-user environment, which is why initial costs for its introduction are very high. Cloud computing, one of the most promising next-generation Internet technologies, enables simple Internet devices to use services and resources provided with BIM software. Recently in Korea, studies to link between BIM and cloud computing technologies have been directed toward saving costs to build BIM-related infrastructure, and providing various BIM services for small- and medium-sized enterprises (SMEs). This study addressed development of the usage metering functions of BIM software under cloud computing architecture in order to archive and use BIM data and create an optimal revenue structure so that the BIM services may grow spontaneously, considering a demand for cloud resources. For the reason, we surveyed relevant cases, and then analyzed needs and requirements from AEC industry. Based on the relevant cases, customizing for cloud BIM and design for the development was performed. We also surveyed any related-law to support cloud computing-based BIM service. Finally, we proposed herein how to optimally design and develop the usage metering functions of cloud BIM software.

• Healthcare Informatics Research
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• 제24권4호
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• pp.283-291
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• 2018

Objectives: To identify the current status of smartphone usage and to describe the needs for smartphone-based cardiac telerehabilitation of cardiac patients. Methods: In 2016, a questionnaire survey was conducted in a supervised ambulatory cardiac rehabilitation (CR) program in a university affiliated hospital with the participation of heart failure or heart transplantation patients who were smartphone users. The questionnaire included questions regarding smartphone usage, demands for smartphone-based disease education, and home health monitoring systems. Results were described and analyzed according to principal diagnosis. Results: Ninety-six patients (66% male; mean age, $5{\pm}11$ years), including 56 heart failure and 40 heart transplantation patients, completed the survey (completion rate, 95%). The median daily smartphone usage time was 120 minutes (interquartile range, 60-300), and the most frequently used smartphone function was text messaging (61.5%). Of the patients, 26% stated that they searched for health-related information using their smartphones more than 1 time per week. The major source of health-related information was Internet browsing (50.0%), and the least sought source was the hospital's website (3.1%). Patients with heart failure expressed significantly higher needs for disease education on treatment plan, home health monitoring of blood pressure, and body weight (${\chi}^2=5.79$, 6.27, 4.50, p < 0.05). Heart transplantation patients expressed a significant need for home health monitoring of body temperature (${\chi}^2=5.25$, p < 0.05). Conclusions: Heart failure and heart transplantation patients show high usage of and interest in mobile health technology. A smartphone-based cardiac telerehabilitation program should be developed based on high demand areas and modified to suit to each principal diagnosis.

• 디지털산업정보학회논문지
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• 제11권2호
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• pp.181-192
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• 2015

A new communication revolution such as social networking service (SNS) has been transforming the way of interaction between people in both of individual level and organizational level. Recently many people have switched to closed type SNS such as Naver Band and Kakao group due to the several reasons. The purpose of this study is to investigate the usage motivation and satisfaction of SNS based on use and gratifications perspectives. Based on prior studies on use and gratifications of Internet-related media and SNS, information motivation, relationship motivation, pleasure/entertainment motivation, self-expression motivation, work motivation were identified as usage motivation of SNS. This empirical study explores how these motivations vary between open type SNS(facebook and twitter) and closed type SNS(band and kakao group). This study contributes to provide the base of activation strategies and practical implications for companies using SNS as a marketing tool.