• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.171-192
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• 2018

With the spread of the maker movement and matching of the standards for the 21st century learners and the maker competencies, there is a social and temporal need for makerspaces building and maker education in school libraries, Prior to the establishment of the school library makerspaces, we intended to investigate the awareness of the school librarian on the creation and operation of the school library makerspaces. For this purpose, a questionnaire was constructed based on the theoretical review and the response data of 171 school librarians were collected through a web survey. Technical statistics, cross-analysis, and ANOVA were conducted using SPSS window 19.0 and content analysis was conducted on open-ended questions. The Questionnaires consisted of questions about whether the school library makerspace was installed or not and necessity, reason, and difficulty in creating and operating the makerspace. As a result of the study, it was found that the establishment of the school library makerspace was very low at 2.3%, and the recognition of the makerspace of the school librarian was below the normal level. On the other hand, the perception of necessity appeared to be more than normal, and the school library was generally considered to be a suitable place for the makerspace installation. However, negative opinions about the school library makerspaces were also raised in various aspects.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.6
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• pp.237-247
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• 2008

A virtual screening is the process of reducing an unmanageable number of compounds to a limited number of compounds for the target of interest by means of computational techniques such as molecular docking. And it is one of a large-scale scientific application that requires large computing power and data storage capability. Previous applications or softwares for molecular docking such as AutoDock, FlexX, Glide, DOCK, LigandFit, ViSION were developed to be run on a supercomputer, a workstation, or a cluster-computer. However the virtual screening using a supercomputer has a problem that a supercomputer is very expensive and the virtual screening using a workstation or a cluster-computer requires a long execution time. Thus we propose a service-based virtual screening system using Grid computing technology which supports a large data intensive operation. We constructed 3-dimensional chemical molecular database for virtual screening. And we designed a resource broker and a data broker for supporting efficient molecular docking service and proposed various services for virtual screening. We implemented service based virtual screening system with DOCK 5.0 and Globus 3.2 toolkit. Our system can reduce a timeline and cost of drug or new material design.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.27 no.7
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• pp.369-374
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• 2015

This study analyzed analyzes the energy performance of six houses in Daejeon completed which were built in 2011. Observed The observed houses, which were all designed and constructed inof the same size and structure, are were highly insulated with triple Low-E coating windows; the insulation level of the walls is was $0.13W/m^2K$ and that of the roof is was $0.10W/m^2K$. As electric houses, all of the energy supplied to the houses, including for cooking, is was supplied by electricity. A and 3~4 kWp of photovoltaic system and a 3~5 kW of ground source heat pump (GSHP) were installed in each house tofor providing provide space heating/and cooling and hot water are installed. We constructed a Web-based remote monitoring system in order to understand energy consumption and the dynamic behavior of the energy system. T, and the results of our metering data analysis of 2013 are as follows. First, the annual residential energy consumption is was 4,400 kWh (${\sigma}=1,209$) and GSHP energy consumption is was 5,182 kWh (${\sigma}=1,164$). Second, residential energy consumption ranked highest in average energy usage, with at 45% of the total, followed by heating with at 30%, hot water supply with at 17% and cooling with at 6%. Third, the average energy independence rate is was 51.8%, the GFA (Gross gross floor area) criteria average energy consumption unit is was $48.7kWh/m^2yr$ (${\sigma}=10.1$), and the net energy consumption unit (except the energy yield of the PV systems) is was $24.7kWh/m^2yr$ (${\sigma}=8.8$).

• Spatial Information Research
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• v.11 no.3
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• pp.261-274
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• 2003

The effective probability-based tile pre-fetching algorithm and the collaborative cache replacement algorithm are able to reduce the response time for user's requests by transferring tiles which will be used in advance and determining tiles which should be removed from the restrictive cache space of a client based on the future access probabilities in Web GISs(Geographical Information Systems). The Web GISs have multi-level abstracted data for the quick response time when zoom-in and zoom-out queries are requested. But, the previous pre-fetching algorithm is applied on only two-dimensional pre-fetching space, and doesn't consider expanded pre-fetching space for multi-level abstracted data in Web GISs. In this thesis, a probability-based pre-fetching algorithm for multi-level abstracted in Web GISs was proposed. This algorithm expanded the previous two-dimensional pre-fetching space into three-dimensional one for pre-fetching tiles of the upper levels or lower levels. Moreover, we evaluated the effect of the proposed pre-fetching algorithm by using a simulation method. Through the experimental results, the response time for user requests was improved 1.8%∼21.6% on the average. Consequently, in Web GISs with multi-level abstracted data, the proposed pre-fetching algorithm and the collaborative cache replacement algorithm can reduce the response time for user requests substantially.

• Economic and Environmental Geology
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• v.54 no.2
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• pp.177-186
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• 2021

For disaster management and mitigation of earthquakes in Korea Peninsula, active fault investigation has been conducted for the past 5 years. In particular, investigation of sediment-covered active faults integrates geomorphological analysis on airborne LiDAR data, surface geological survey, and geophysical exploration, and unearths subsurface active faults by trench survey. However, the fault traces revealed by trench surveys are only available for investigation during a limited time and restored to the previous condition. Thus, the geological data describing the fault trench sites remain as the qualitative data in terms of research articles and reports. To extend the limitations due to temporal nature of geological studies, we utilized a terrestrial LiDAR to produce 3D point clouds for the fault trench sites and restored them in a digital space. The terrestrial LiDAR scanning was conducted at two trench sites located near the Yangsan Fault and acquired amplitude and reflectance from the surveyed area as well as color information by combining photogrammetry with the LiDAR system. The scanned data were merged to form the 3D point clouds having the average geometric error of 0.003 m, which exhibited the sufficient accuracy to restore the details of the surveyed trench sites. However, we found more post-processing on the scanned data would be necessary because the amplitudes and reflectances of the point clouds varied depending on the scan positions and the colors of the trench surfaces were captured differently depending on the light exposures available at the time. Such point clouds are pretty large in size and visualized through a limited set of softwares, which limits data sharing among researchers. As an alternative, we suggested Potree, an open-source web-based platform, to visualize the point clouds of the trench sites. In this study, as a result, we identified that terrestrial LiDAR data can be practical to increase reproducibility of geological field studies and easily accessible by researchers and students in Earth Sciences.

• Journal of Nutrition and Health
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• v.55 no.2
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• pp.278-295
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• 2022

Purpose: This study was undertaken to revise and update the Nutrition Quotient (NQ) for Korean adults, a tool used to evaluate dietary quality and behavior. Methods: The first 31 items of the measurable food behavior checklist were adopted based on considerations of the previous NQ checklist, recent literature reviews, national nutrition policies, and recommendations. A pilot survey was conducted on 100 adults aged 19 to 64 residing in Seoul and Gyeonggi Province from March to April 2021 using a provisional 26- item checklist. Pilot survey data were analyzed using factor analysis and frequency analysis to determine whether checklist items were well organized and responses to questions were well distributed, respectively. As a result, the number of items on the food behavior checklist was reduced to 23 for the nationwide survey, which was administered to 1,000 adults (470 men and 530 women) aged 19 to 64 from May to August 2021. The construct validity of the developed NQ (NQ-2021) was assessed using confirmatory factor analysis, linear structural relations. Results: Eighteen items in 3 categories, that is, balance (8 items), moderation (6 items), and practice (4 items), were finally included in NQ-2021 food behavior checklist. 'Balance' items addressed the intake frequencies of essential foods, 'moderation' items the frequencies of unhealthy food intakes or behaviors, and 'practice' items addressed eating behaviors. Items and categories were weighted using standardized path coefficients to calculate NQ-2021 scores. Conclusion: The updated NQ-2021 appears to be suitable for easily and quickly assessing the diet qualities and behaviors of Korean adults.

• Information Systems Review
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• v.11 no.2
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• pp.1-22
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• 2009

IT advances rapidly and is widely used both in for-profit and non-profit organizations. Academic institutions are no exception in the adoption of new IT such as e-libraries, e-blackboards, as well as Web 2.0 services. However, administrative information systems in colleges and universities often lag relatively behind. One of the reasons of this is that academic institutions tend to focus only on the implementation of IT, while neglecting the mindfulness needed for post-implementation. This study develops a new perspective for the sustainability of academic information systems through the lens of mindfulness. The results from administrating a nation-wide survey of universities and colleges provide the variations of a ranking of the critical success factors between implementation and post-implementation. The findings imply that both individual and collective mindfulness are needed to implement and, especially, sustain administrative IS successfully in academic institutions.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.93-108
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• 2003

최근 들어 신세대들은 온라인을 통해서 아바타를 활용하여 가상공간 속에서 자신을 표현하고 있는 추세이다. 아바타는 ‘분신’, ‘화신’을 의미하는 산스크리트어로 가상공간에서 사용자의 역할을 대신하는 애니메이션 캐릭터이다. 가상공간 속에서 오프라인 상에서 표현하지 못한 자신만의 캐릭터를 통해서 자신의 정체성을 시각적으로 표현하여 개인의 개성을 표출하고 있다. 이러한 아바타의 출현으로 인터넷에서의 자기표현 방식이 외향적인 형태로 변화하는데 이는 새로운 표현에 대한 사용자의 수용도에 따라서 여러 가지 형태로 나타나고 있다. 특히, 사용자가 새로운 개념을 수용하는데 있어서 그들이 잠재적으로 보유하고 있는 특성에 따라서 아바타의 표현이 다각적으로 연출되고 활용되어지고 있다. 이는 신세대들의 자기표현 방식이 다양하기 때문이다고 할 수 있겠다. 신세대들은 또한 새로운 정보통신 기술이 매체를 통해 보급될 경우 수용도가 다른 세대에 비해 빠르다. 이렇듯 아바타의 도입과 활용은 신세대의 자기표현의 상징적인 역할을 하고 있다. 현재, 웹과 핸드폰을 통해서 2D 기반의 아바타가 활용되고 있으며, 신기술이 지속적으로 개발되고 있다. 현재 개발되어지고 있는 3D 핸드폰 아바타의 수용도에 대한 관심도도 높아질 것으로 예상된다. 현재 아바타 개발과 활용에 대한 연구는 활발히 진행되고 있지만, 이러한 신세대들의 특성에 따른 아바타의 수용에 대한 연구는 아직 정립되지 못하고 있다. 아바타의 수용에 관한 이론은 심리적 특성 이론으로 자아 존중감, 유행 선도력, 소비가치 등이 있으며, 사용자 수용 이론으로 혁신 성향, 유흥 성향 등이 있다. 이를 기반으로, 본 연구에서는 신세대 대학생들의 특성에 따라서 아바타의 수용도에 미치는 영향을 모색하고자 한다. 이를 위해서 대학생들의 특성을 심리적 특성이론과 사용자 수용이론으로 구분하여 이 특성에 따라서 향후 개발될 3D 핸드폰 아바타의 수용도의 관계를 파악하고자 한다. 본 연구에 대한 자료 수집방법은 D대학교의 교양과목인 “사이버문화의 이해와 활용”을 수강하는 학생들을 대상으로 총 170부를 설문 조사하였으며, 수집된 설문지 중에서 불성실하게 응답한 설문지 6부를 제외한 총 164부를 유효한 설문으로 확보하였다. SPSSWIN 10.0 패키지를 이용하였으며, Cronbach's Alpha값을 통한 신뢰도 분석과 요인분석을 통한 타당성 분석을 하고, 연구변수로 선정한 각 요소들의 아바타 수용도에 미치는 영향력 정도를 파악하기 위해 회귀분석을 실시하였다. 그 결과 심리적 특성과 사용자 수용 특성은 아바타 수용도에 부분적으로 영향을 미친다는 것 결과가 나타났다.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.1-23
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• 2013

To discover significant social issues such as unemployment, economy crisis, social welfare etc. that are urgent issues to be solved in a modern society, in the existing approach, researchers usually collect opinions from professional experts and scholars through either online or offline surveys. However, such a method does not seem to be effective from time to time. As usual, due to the problem of expense, a large number of survey replies are seldom gathered. In some cases, it is also hard to find out professional persons dealing with specific social issues. Thus, the sample set is often small and may have some bias. Furthermore, regarding a social issue, several experts may make totally different conclusions because each expert has his subjective point of view and different background. In this case, it is considerably hard to figure out what current social issues are and which social issues are really important. To surmount the shortcomings of the current approach, in this paper, we develop a prototype system that semi-automatically detects social issue keywords representing social issues and problems from about 1.3 million news articles issued by about 10 major domestic presses in Korea from June 2009 until July 2012. Our proposed system consists of (1) collecting and extracting texts from the collected news articles, (2) identifying only news articles related to social issues, (3) analyzing the lexical items of Korean sentences, (4) finding a set of topics regarding social keywords over time based on probabilistic topic modeling, (5) matching relevant paragraphs to a given topic, and (6) visualizing social keywords for easy understanding. In particular, we propose a novel matching algorithm relying on generative models. The goal of our proposed matching algorithm is to best match paragraphs to each topic. Technically, using a topic model such as Latent Dirichlet Allocation (LDA), we can obtain a set of topics, each of which has relevant terms and their probability values. In our problem, given a set of text documents (e.g., news articles), LDA shows a set of topic clusters, and then each topic cluster is labeled by human annotators, where each topic label stands for a social keyword. For example, suppose there is a topic (e.g., Topic1 = {(unemployment, 0.4), (layoff, 0.3), (business, 0.3)}) and then a human annotator labels "Unemployment Problem" on Topic1. In this example, it is non-trivial to understand what happened to the unemployment problem in our society. In other words, taking a look at only social keywords, we have no idea of the detailed events occurring in our society. To tackle this matter, we develop the matching algorithm that computes the probability value of a paragraph given a topic, relying on (i) topic terms and (ii) their probability values. For instance, given a set of text documents, we segment each text document to paragraphs. In the meantime, using LDA, we can extract a set of topics from the text documents. Based on our matching process, each paragraph is assigned to a topic, indicating that the paragraph best matches the topic. Finally, each topic has several best matched paragraphs. Furthermore, assuming there are a topic (e.g., Unemployment Problem) and the best matched paragraph (e.g., Up to 300 workers lost their jobs in XXX company at Seoul). In this case, we can grasp the detailed information of the social keyword such as "300 workers", "unemployment", "XXX company", and "Seoul". In addition, our system visualizes social keywords over time. Therefore, through our matching process and keyword visualization, most researchers will be able to detect social issues easily and quickly. Through this prototype system, we have detected various social issues appearing in our society and also showed effectiveness of our proposed methods according to our experimental results. Note that you can also use our proof-of-concept system in http://dslab.snu.ac.kr/demo.html.

• Journal of the Korean Society of School Health
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• v.19 no.2
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• pp.117-125
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• 2006

Purpose : The purpose of this study is to test the effect of the web-b ased alcohol preventive education for ndicate the model of alcohol preventive education for students spreading al over the family and the comunity.Methods : This study was performed on the 1 public and 1 private eleme ntary school students who are the six grade in Seongdong-gu, Seoul. The number of experimental gr oup was 117 and control group's number was 131, totaled 248. eeks. The pre- and the post-test for web-based alcohol preventive education were tested about knowle dge and attitude toward drinking by questionnaire. The data analysis was done using SPS/Win 12.0 p rogram.Results：The results of this study are as follows;1. Compared with control group, experimental group which was educated the web-based alcohol preventive icant diference in the knowledge toward drinking.2. Compared with control group, also the experimental group w as improved with significant diference in attitude toward drinking after the education.3. In control group, female students' knowledge of drinking w as more increased than male students. And the he group which experienced drinking.Conclusions : The web-based alcohol preventi ve education is worth as a int ervention to get positive influence for the health education. Especially in female studen ts who didn't met with drinking, early education for alcohol prevention is very important. Therefore i t will be helpful that coperate with district ofice ithin the comunity for becoming established the controled drinking pattern.