• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1201-1208
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• 2006

Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. Currently, Gyeongnam province is executing the social survey every year with the provincials. But, they have the limit of the analysis as execute the different survey to 3 year cycles. In this paper, we study to data fusion of environmental survey data using sas macro. We can use data fusion outputs in environmental preservation and environmental improvement.

• 한국한의학연구원논문집
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• 제16권2호
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• pp.109-118
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• 2010

Traditional Korean Medicine Information Portal OASIS has been upgraded continuously from the beginning of it's service. It builds up more contents and adds more functions to provide rich information for TKM's researcher. But it's improvement strategy is not systematic and not supported from objective data. So we did online survey and analyzed the results to get insight for improving and activating the OASIS. Also we compared the survey with the previous one conducted in 2009. From the analysis of survey, we can get the 4 results. First OASIS have aged users than young users. Second 39.0% users are using OASIS 2-3 times in a month. Third 18.8% users want OASIS to provide the conference paper in TKM. Finally 21.7% users want paper map analysis system. We must do information strategy planning to get the insight for the improvement. And this survey analysis result will be most important material to our planning. Also we will use this survey analysis result to satisfy the users' needs.

• 문화기술의 융합
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• 제8권6호
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• pp.487-492
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• 2022

대학들은 급변하는 사회 환경에 적합한 교육역량 수준을 높이기 위해 다양한 방법들을 찾고 있다. 본 논문에서는 조사 항목을 수정, 보완한 만족도 사전조사를 개강 전에 실행하여 학업성취도를 높이고 전공 이탈자의 비율을 낮춰 교육 성과를 높이는 방안을 제안한다. 일반적인 만족도 조사 이후에 시행되는 교육품질 개선(CQI) 방식을 보완하고자 만족도 사전조사를 시행하였다. 학생역량을 강화하기 위해 설계가 진행 중인 인공지능형 메디치 플랫폼에 적용할 수 있는 머신러닝 기법의 랜덤 포레스트를 활용하여 중요한 데이터의 예측 및 분석을 가능하게 하였다. 만족도 사전조사 데이터들을 전처리하여 수강 신청 학생들의 정보를 설명 변수로 정의하고 분류하여 모델 생성 및 학습하였다. 실험 환경은 주피터 노트북 3.7.7, Python 3.7에서 관련 알고리즘과 사이킷런(sklearn) 라이브러리를 함께 사용하였다. 제안하는 방안의 결과를 수업에 반영하여 수업 후에 진행하는 교육 만족도 조사의 변화와 중도 탈락생 수의 동향을 비교 분석하였다.

• 한국주거학회논문집
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• 제20권5호
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• pp.51-59
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• 2009

The purpose of this study is to suggest the design guide-lines for the community center through the analysis of users' satisfaction on the community facilities and programs. This study was approached by using theoretical investigation, a field survey and a questionnaire survey. The field survey was analyzed the current situations by conducting a housing managers' interview and viewing a blueprint of the community center. The questionnaire survey was tested by examining five different apartment complexes of over 500 households in Gwang-ju, which were all built between 2005 and 2007, 268 users were interviewed for the questionnaire survey. After all the questionnaires were collected, the data was coded and analyzed using the SPSS 12.0 program. Statistics used from data analysis were frequencies, means, standard deviations, one-way ANOVA, t-test, and correlation analysis. To conclusion, the satisfaction and usage of community facilities and programs shows higher for the indoor exercise/sports; such as, yoga, golf, and health programs than others. There is no strong correlation between the location and layout of community facility in apartment complex. However, this study could be a reference data when planning a new community center where plans to have community facilities and programs to satisfy its future users.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2003년도 춘계학술대회
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• pp.159-170
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• 2003

This Paper analyzed simultaneous activities of the time use survey by Korea National Statistical Office to use data mining‘s association rule. The survey of National Statistical Office in 1999 considered general analysis for simultaneous activities. But if we use the association rule, we can found the ratio of particular activities at the same time. And we found the probability that another activities practise if we act one particular activity. Using this association rule of data mining we can do more developed and analytical sociological study.

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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• pp.68.2-68.2
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• 2003

We performed this survey to hear Yeungnam University Graduates' opinion on the current curriculum for the purpose of creating an education system of “practically competent person” instead of simply “competent person”. Questionnaire was made up of 13 multiple-choice questions and 1 descriptive question by Curriculum Reform Task Force of Yeungnam University. The survey was administered to randomly chosen 50 graduates by e-mail on August 1, 2003 and was collected between August 1 and August 10, 2003 for the analysis of respondent’s reply. (omitted)

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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• pp.21-27
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• 2006

Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. Currently, Gyeongnam province is executing the social survey every year with the provincials. But, they have the limit of the analysis as execute the different survey to 3 year cycles. In this paper, we study to data fusion of environmental survey data using sas macro. We can use data fusion outputs in environmental preservation and environmental improvement.

• 수산해양기술연구
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• 제56권3호
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• pp.265-276
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• 2020

The objective of this study is to develop education programs for cultivating smart aquaculture experts through a education demand survey of industries, high school students, university (graduate) students and field workers. The industry demand analysis was conducted as an in-depth interview on representives from seven companies. Education demand surveys were conducted on 96 students and field workers in the Jeonnam region. Results on the demand survey were analyzed using frequency analysis and cross-analysis. The company representatives responded that they want to participated in internship and retraining programs to proactively secure manpowers with convergence capabilities about smart aquaculture. Seven companies preferred manpowers with basic competencies on ICT (Information and Communications Technologies) or aquaculture. The most respondents in the demand survey want to participate in the education program for experience on advanced technology, self-development and enhancement of work capability. On the other hand, some respondents said that the education is time-consuming and that the education program does not fit their level. Thus, the education program should be developed in a way to minimize the spatial and temporal limitations of education targets and to improve understanding of non-majors by reflecting the demands of human resources in the industrial field.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.901-904
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• 2008

측량은 건설 공사 전반에 수행되고 있기 때문에 측량이 건설 공사에 미치는 영향은 매우 크다고 할 수 있다. 그러나 측량의 리스크 식별 및 관리에 관한 연구는 다른 분야에 비해 미비하다. 따라서 본 연구에서는 건설 공사의 시공 시 수행되는 측량에 관한 효율적인 리스크 관리를 목적으로 건설 공사 중 도로 공사에 수행되는 측량을 대상으로 리스크 관리에 관한 연구를 수행하였다. 일반적으로 리스크 관리는 리스크 식별, 분석, 대응의 3단계로 수행되지만, 본 연구에서는 리스크 식별 및 분석 단계에 초점을 맞추어 도로 공사의 측량 리스크 체크리스트 작성을 위한 연구를 수행하였다. 리스크 인자의 식별에는 도로 공사 시방서, 측량법, 도로 공사 체크리스트를 사용하였으며, 식별된 리스크를 바탕으로 도로 공사의 측량 관련 체크리스트를 작성하였다. 작성될 체크리스트는 측량 관련 전문가 집단의 면담 조사를 통하여 중요도를 분석하여 측량 리스크 체크리스트를 작성하였다.

• Communications for Statistical Applications and Methods
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• 제9권3호
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• pp.665-674
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• 2002

The advantage of internet survey compared to the traditional survey methods are speedy in data collection, cost-effective, high performed design and able to data process and analysis at the same time. The other side are difficult to select sample, come from serious nonresponse errors. We suggest the new internet survey method to the questionnaire design that have the high response rate, enough to advanced preparations and system stability.