• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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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.

• Korean Journal of Oriental Medicine
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• v.16 no.2
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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.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.487-492
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• 2022

Universities are looking for various methods to enhance educational competence level suitable for the rapidly changing social environment. This study suggests a method to promote academic and educational achievements by reducing drop-out rate from their majors through implementation of pre-survey of satisfaction that revised and complemented survey items. To supplement the CQI method implemented after a general satisfaction survey, a pre-survey of satisfaction was carried out. To consolidate students' competences, this study made prediction and analysis of data with more importance possible using the Random Forest of the machine learning technique that can be applied to AI Medici platform, whose design is underway. By pre-processing the pre-survey of satisfaction, the students information enrolled in classes were defined as an explanatory variable, and they were classified, and a model was created and learning was conducted. For the experimental environment, the algorithms and sklearn library related in Jupyter notebook 3.7.7, Python 3.7 were used together. This study carried out a comparative analysis of change in educational satisfaction survey, carried out after classes, and trends in the drop-out students by reflecting the results of the suggested method in the classes.

• Journal of the Korean housing association
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• v.20 no.5
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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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• 2003.05a
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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.

• Proceedings of the PSK Conference
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• 2003.10b
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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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• 2006.11a
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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.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.56 no.3
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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.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.901-904
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• 2008

The purpose of this study is to identify the risk factors, analyze the risk factors and make a risk check list of survey in road construction. Generally. the risk management is consisted of 3 steps: risk identification, Risk analysis, Risk hedge. This study is focused on the identification of risk and analysis of risk. To identify the risk factors of survey, we used the specifications of road construction, law of survey, and check list of road construction. This study provides the risk check list of survey for road construction. This research was undertaken to analyze risk factors being determine by the FGI(Focus Group Interview) method with survey specialists.

• Communications for Statistical Applications and Methods
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• v.9 no.3
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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.