• 디지털콘텐츠학회 논문지
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• 제18권8호
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• pp.1543-1550
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• 2017

스마트폰에 대한 선행연구들은 지금까지는 정보시스템 품질에 대한 개인성과, 접근성 및 정보격차 등에 대한 논의가 있어 왔다. 본 연구는 스마트폰 정보사용과 개인특성간의 관계를 분석하기 위해 제주공항에서 관광을 경험하고 돌아가는 관광객 300명을 대상으로 설문조사를 하였으며, 가설 검증을 위해 3가지 요인을 가지고 분석을 하였는데, 첫 번째는 자기효능감, 두 번째는 충동성의 변수, 세 번째는 개인적 특성을 가지는 스마트폰의 인구 통계적 변수(연령, 성별, 교육수준 등)를 통해 분석을 하였다. 연구결과 자기효능감과 충동성이 스마트폰 사용에 긍정적으로 나타나는 것은 원하는 시간에 원하는 정보를 취득할 수 있는 생활환경이 만들어져 있기 때문으로 나타났다. 또한 온라인과 오프라인의 경계가 없어지고 항상 온라인으로 연결되어 있는 모바일 네이티브(Mobile native)의 환경과 40~50대의 디지털리터러시(Digital literacy)의 환경은 차이가 있다고 보인다. 이러한 점은 기존 연구와 다른 추가적 분석 결과라고 볼 수 있다.

• Journal of Korean Society for Atmospheric Environment
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• 제23권E2호
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• pp.66-73
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• 2007

The introduction of tracer gas techniques to ventilation studies in indoor environments provides valuable information that used to be unattainable from conventional testing environments. Data acquisition systems (DASs) containing analogue-to-digital (A/D) converters are usually used to function the key role that records signals to storage in digital format. In the testing process, there exist a number of components in the measuring equipment which may produce system-based inference to the monitored results. These unwanted fluctuations may cause significant error in data analysis, especially when non-linear algorithms are involved. In this study, a pre-processor is developed and applied to separate the unwanted fluctuations (noise or interference) in raw measurements and to reduce the uncertainty in the measurement. Moving average, notch filter, FIR (Finite Impulse Response) filters, and IIR (Infinite Impulse Response) filters are designed and applied to collect the desired information from the raw measurements. Tracer gas concentrations are monitored during leakage and ventilation tests in the model test room. The signal analysis functions are introduced to carry out the digital signal processing (DSP) work. Overall the FIR filters process the $CO_2$ measurement properly for ventilation rate and mean age of air calculations. It is found that, the Kaiser filter was the most applicable digital filter for pre-processing the tracer gas measurements. Although the IIR filters help to reduce the random noise in the data, they cause considerable changes to the filtered data, which is not desirable.

• 디지털산업정보학회논문지
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• 제6권2호
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• pp.1-9
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• 2010

The increasing popularity of mobile devices, such as cellular phones, smart phones, and PDAs, has fostered the need to recommend more effective information in ubiquitous environments. We propose the recommendation method for mobile contents service using contexts and prefetching in ubiquitous environment. The proposed method enables to find some relevant information to specific user's contexts and computing system contexts. The prefetching has been applied to recommend to user more effectively. Our proposed method makes more effective information recommendation. The proposed method is conceptually comprised of three main tasks. The first task is to build a prefetching zone based on user's current contexts. The second task is to extract candidate information for each user's contexts. The final task is prefetch the information considering mobile device's resource. We describe a new recommendation.

• 디지털산업정보학회논문지
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• 제8권4호
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• pp.107-113
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• 2012

Cloud computing has brought changes to the IT environment. Due to the spread of LTE, users of cloud services are growing more. This which provides IT resources to meet the needs of users of cloud services are noted as a core industry. But it is not activated because of the security of personal data and the safety of the service. In order to solve this, intrusion detection system is constructed as follows. This protects individual data safely which exists in the cloud and also protects information exhaustively from malicious attack. The cause of most attack risk which exists to cloud computing can find in distributed environment. In this study, we analyzed about necessary property of network-based intrusion detection system that process and analyze large amount of data which occur in cloud computing environment. Also, we studied functions which detect and correspond attack occurred in interior of virtualization.

• 디지털산업정보학회논문지
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• 제7권2호
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• pp.19-27
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• 2011

Recent development of information technologies produces a lot of community services. Social Network Service is one of the community services on the world wide webs. In the Social Network Service, a user can register other users as friends and enjoy communication through a virtual message. Previous researches show a few social service methods using manually generated tagging. However, the manual social tagging is not widely used in many social network services. Moreover, they do not consider ubiquitous computing environment. We propose a recommendation method for social service using contexts in ubiquitous environment. Our method scores documents based on context tags and social network services. Our social scoring model is computed by both a tagging score of a document and a tagging score of a document that was tagged by a user's friends.

• 디지털산업정보학회논문지
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• 제9권1호
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• pp.43-52
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• 2013

Pervasive computing and social network are good resources in recommendation method. Collaborative filtering is one of the most popular recommendation methods, but it has some limitations such as rating sparsity. Moreover, it does not consider social network in pervasive computing environment. We propose an effective proactive friend recommendation method using social network and contexts in pervasive computing environment. In collaborative filtering method, users need to rate sufficient number of items. However, many users don't rate items sufficiently, because the rating information must be manually input into system. We solve the rating sparsity problem in the collaboration filtering method by using contexts. Our method considers both a static and a dynamic friendship using contexts and social network. It makes more effective recommendation. This paper describes a new friend recommendation method and then presents a music friend scenario. Our work will help e-commerce recommendation system using collaborative filtering and friend recommendation applications in social network services.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 춘계학술발표대회
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• pp.1249-1252
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• 2005

요즘 네트워크환경에서 기업네트워크의 보안은 가장 중요하게 고려되고 있는 문제 중 하나이다. 기업네트워크의 보안을 위해 활용하고 있는 VPN, IDS, Firewall 등의 다양한 솔루션들은 일관된 관리가 용이하지 않기 때문에 ESM 이 이용되고 있다. ESM 은 여러가지 보안 솔루션을 통합관리 해주므로, 솔루션의 낭비가 없고 효율적인 관리가 가능하다. 본 논문에서는 실제 운용중인 ESM 툴(Tool)에서 룰 설정의 중요성을 알아 보고 알려지지 않은 웜(Worm)이 들어 왔을 때 관제를 위한 룰설정 방법을 제시한다.

• 수산해양교육연구
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• 제19권1호
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• pp.29-38
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• 2007

Recent Internet Service Environment has been moved to provide geographic information based on location as well as existent various information. In this paper, we develop an integrated software connecting GIS information to Internet. In the other hand, in GIS S/W, it is important that rapid output of Digital Map and effective trnasmission of specified Digital Map about moving area. To achieve the purpose, we propose a reduced digital format to diminish original digital maps. Also, we develop a GIS-based software engine with functions connecting location information to URL as well as map viewer and map handling. Futhermore, our developed GIS S/W is based Module in LBS application using GPS sensor.

• 디지털산업정보학회논문지
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• 제12권3호
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• pp.181-204
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• 2016

Recently, the exhibition industry based on digital archive has been rapidly growing and the industry sees an innovative change with diverse digital archive exhibition venues emerging. Enabling visitors to enjoy new and varied exhibition provides a turning point to the exhibition environment. In today's world where IT (Information Technology) leads social changes, new framework and contents are required to establish digital culture that connects traditional culture with advanced information telecommunications. The objective of this study is to identify factors that influence the audience in a digital archive exhibition venue and to analyze impacts of these factors on exhibition success based on immersion and satisfaction. The study presents a research model that applies significant variables of emotional response theory in which fundamental psychological desire of humans is emphasized. To empirically verify the research model, the author conducted a survey for students of S university in Seoul and for ordinary people who have been to digital archive exhibition venues.

• 디지털산업정보학회논문지
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• 제19권3호
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• pp.105-115
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• 2023

This study analyzed the effects of learning participation motivation and collaborative self-efficacy on knowledge sharing behavior in an online learning environment. Collaborative learning in the online learning environment took the initiative in team formation, learning topic selection, learning planning and execution, and reflection. Collaborative learning was operated as an extracurricular program, and a survey was conducted targeting students who finally completed all learning activities. The results of the study are as follows. First, goal-oriented motivation and self-Efficacy for group work, showed significant influence on knowledge sharing behavior. Second, activity-oriented motivation did not show a statistically significant effect relationship. Interpreting the analysis results, it can be judged that the higher the goal-oriented motivation and self-Efficacy for group work of students who performed collaborative learning in an online learning environment, the higher the willingness to share knowledge, skills, and information they know. This study explored the outcomes of collaborative learning conducted in an online learning environment. It is meaningful that the learner's learning participation motivation was identified and the effect of self-Efficacy for group work, which can be expressed in collaborative learning situations, on knowledge sharing behavior, which is a necessary behavior for group performance, is significant.