• Title/Summary/Keyword: survey and analysis

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Correlations between Spatial Distribution of Alien Plants and Land Cover - Focused on National Ecosystem Survey - (외래식물의 공간분포와 토지피복간의 상관성 연구 - 전국자연환경조사 자료를 중심으로 -)

  • Jung, Tae-Jun;Shin, Hyun-Chul;Shin, Young-Kyu;Kim, Myung-Jin
    • Journal of Environmental Impact Assessment
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    • v.22 no.5
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    • pp.455-466
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    • 2013
  • The aim of this study is to seek application plans of National Ecosystem Survey database based on comparison and examination of feasible analysis methods for distribution characteristics of alien plants. In order to set up a correlation analysis method between alien plants and environmental factors, we had reviewed the 3rd National Ecosystem Survey guide book and consequently, two kinds of analysis method were tested. One was 1/25,000 scale map boundary based analysis and the other was representative mountain area based analysis. In this study we restricted the research area to select reliable surveyed database from whole "2011 National Ecosystem Survey flora database" according to two major criteria. First, an area defined by 1/25,000 scale map boundary and representative mountain area where the number of surveyed flora records should be within top 20%. Second, land cover map should also be built up inside that area. As a result, 25 map boundaries and 25 representative mountain areas were extracted to be analyzed. To limit a boundary for every representative mountain area we had analyzed distribution of environmental factors around that area by manual inspection with SPOT-5 remote sensed satellite image then designated 3km buffer zone from each alien plant location in that area. After then, naturalized index (NI) and urbanized index (UI) was calculated and correlations analysis was carried out. With the result of correlation analysis by map boundary only agricultural land area showed significant value of r (0.4~0.6, correlated) and the rest of factors did not. In the case of representative mountain area, the result showed that agricultural land, road and forest area showed significant value of r (0.6~0.8, highly correlated) which was corresponding to existing researches. Therefore, representative mountain area based method is preferable when using the alien plants database of National Ecosystem Survey for species distribution analysis. And also, considering the way of database utilization is strongly suggested at the first stage of survey planning for promoting active use of national ecosystem survey database.

A comparative study on the mobile vs. stationary internet as a survey tool (유.무선 인터넷 설문조사의 비교연구)

  • 김제은;김진우
    • Korean Management Science Review
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    • v.20 no.1
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    • pp.37-49
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    • 2003
  • There is an increasing need to use mobile Internet as a research tool as wireless technology has been developing rapidly. However, little research has been conducted to confirm methodological validity of mobile Internet survey. This study examines the possibility of using mobile Internet as a survey tool by comparing survey results of mobile and stationary Internet surveys with the same questionnaire. The results were analyzed from both economic and theoretical perspectives. Both mobile and stationary Internet survey sites were implemented with supports from domestic mobile and stationary Internet portals and telecommunication companies. The results show that there exist several differences between two survey methods. First, many respondents who use mobile Internet gave up at the early stage. However, once people continued to respond, they answered the questions to the end. Second, means and standard deviations of mobile internet respondents were higher than that of stationary Internet. Third, the results of two survey methods were significantly different by comparing construct validity that includes both discriminant validity and convergent validity. Finally, this paper ends with implications and limitations of using mobile Internet as a survey tool.

Efficient designs in conjoint analysis (컨조인트 분석에서 효율적인 문항 설계)

  • Chung, Jong Hee;Lim, Yong B.
    • Journal of Korean Society for Quality Management
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    • v.46 no.1
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    • pp.27-38
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    • 2018
  • Purpose: A large number of attributes with mixed levels are often considered in the conjoint analysis. In the cases where attributes have two or three levels, we research on the efficient design of survey questionnaire to estimate all the main effect and two factor interaction effects with a reasonable size of it. Methods: To reduce the number of questions in a questionnaire, the balanced incomplete block mixed level factorial design with minimum aberration was proposed by Lim and Chung (2016). Based on the number of questions and that of the respondents in that design, D-optimality criterion is adopted to find efficient designs where the main effect and two factor interaction effects are estimated. Results: The list of the number of questions and that of the respondents in efficient designs for survey questionnaire are recommended based on the D-efficiency of each design and the proposed selection criteria for the number of both questions and the respondents. By analyzing all the respondents survey data generated by the simulation study, we find the proper model. Conclusion: The proposed methods of designing survey questionnaires seem to perform well in the sense that how often the proper model is found in a simulation study where all the respondents survey data are generated by the simulation model.

Demand Analysis for the Development of Basic-Level TRIZ Curriculum

  • Han, Jiyoung;Yoo, Seung-Hyun
    • Journal of Engineering Education Research
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    • v.17 no.4
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    • pp.7-14
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    • 2014
  • This study was conducted for the purpose of developing a basic-level TRIZ curriculum to improve students' creativity and problemsolving abilities. Towards this end, literature review, field application study, and a survey on the demand for such curriculum were conducted, as the research methodologies. Specifically, literature review was performed on the TRIZ-related research trends and education trends, and the researchers, who had experience running a TRIZ education program for a few years, ran a basic-level TRIZ for 40 hours as part of the extra-curriculum of A University. An actual survey was also conducted to determine the demand for the development of a basic-level TRIZ curriculum. Of the total of 40 students who were subjected to the curriculum, 31 responded sincerely 1 to the survey. Based on the survey analysis results on the students' recognition of the TRIZ curriculum and of the TRIZ task performance, and on the contents and educational effects of TRIZ, basic guidelines for the development of a basic-level TRIZ curriculum were formulated. Reflecting the results of the survey on the demand for a basic-level TRIZ curriculum, such a curriculum was proposed based on 16-week-long, 3-credit lectures considering the curricula of other subjects in the university.

A Study on the Customer Segmentation using Latent Class Analysis (잠재집단분석을 이용한 고객 세분화 연구)

  • Seo, Kwang-Kyu
    • Journal of the Korea Safety Management & Science
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    • v.14 no.2
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    • pp.237-243
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    • 2012
  • The more the satisfied customers increases in customer satisfaction survey, the more the company has difficultly in improving the customer satisfaction. In addition, the effectiveness of practical application of customer satisfaction survey decreases due to its constitution limitation on its data analysis. To overcome these problems, it is necessary to develop a new method to identify the strategy meanings and find the dissatisfied factors of satisfied customers using the satisfied customers reclassification. This study focuses on the satisfied customer segmentation using Latent Class Analysis. The case study shows that the satisfied customers are divided into three subgroups using Latent Class Analysis and we draw meaning results such as satisfaction and dissatisfaction factors through analyzing each group. This study is expected to play the role as the groundwork for the revitalization of customer satisfaction survey.

Survey on Analysis and Improvement of the Stress Status of Customer-facing Workers in the Corporation (공단 고객 응대 근로자의 스트레스 현황과 개선을 위한 인식도 조사)

  • Seung-Han, Kim;Gyou-Beom, Kim;Woo-jin, Hyun
    • Journal of the Korea Safety Management & Science
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    • v.24 no.4
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    • pp.85-93
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    • 2022
  • Today's customer service providers, who have the greatest impact on customer satisfaction, are experiencing severe stress and job burnout due to various causes. Unlike general companies, the corporation has a relatively high level of dissatisfaction with customer service since there is a large conflict between the provision of kindness and the reasonable handling of civil complaints according to laws and regulations. In order to analyze the environment of the NPS' customer service providers, 5.583 branch employees working at the National Pension Service and 407 call center employees were surveyed online using the questionnaire function of the Enterprise resource planning system. The contents of the survey consisted of a survey on customer-facing employees, the level of awareness of customer-facing workers protection measures, and opinions on improvement and supplementation related to customer-facing workers protection measures. As a result of the survey, 72.8% of the total respondents experienced grievance complaints, and the proportion of call center employees was even higher at 89.0%. In addition, both the branch and the call center had the largest share of complaints about obstruction of business, unreasonable demands, abusive language, and verbal abuse. More than 40% of call center employees in their 20s and 30s experienced the highest frequency of complaints 13 or more times a year. The most difficult thing in the process of responding to complaints was that both branch offices and call centers had insufficient psychological recovery time, lack of space, and lack of help from colleagues and superiors. Based on the survey analysis, it is suggested to establish a countermeasure through case analysis rather than the right to suspend work for civil complaints that cannot be handled, such as customized manuals and action strategies for the age group with high grievance complaints.

A Study of Association Rule Mining by Clustering through Data Fusion

  • Cho, Kwang-Hyun;Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.4
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    • pp.927-935
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    • 2007
  • Currently, Gyeongnam province is executing the social index survey every year to the provincials. But, this survey has the limit of the analysis as execution of the different survey per 3 year cycles. The solution of this problem is data fusion. Data fusion is the process of combining multiple data in order to provide information of tactical value to the user. But, data fusion doesn#t mean the ultimate result. Therefore, efficient analysis for the data fusion is also important. In this study, we present data fusion method of statistical survey data. Also, we suggest application methodology of association rule mining by clustering through data fusion of statistical survey data.

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Strategies for Regional Consumption Revitalization of Local Food by Analysis on Purchasing Behavior and Intention (지역농산물의 구매행태 및 의향 분석에 따른 지역 내 소비활성화 방향)

  • Heo, Seung-Wook
    • Korean Journal of Organic Agriculture
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    • v.21 no.4
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    • pp.589-600
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    • 2013
  • The Purpose of this paper is to analysis on consumer's purchasing behavior and intention of local food. To analysis consumer's purchasing behavior, a series of homemaker surveys were conducted. The sample size of the survey is 416 respectively. As a survey result, consumer's purchasing behavior shows that purchasing ratio of local food and buying place is various type. By decision tree model analysis showed that consumer's purchasing intention is enough to establishing local food system in region. Therefore, strategies for regional consumption are needed expression of the place city and county of origin, diversification of purchasing item and buying area, and sustainable improvement for safety and trust on local food.

Investigation of Topographic Characteristics of Parcels Using UAV and Machine Learning

  • Lee, Chang Han;Hong, Il Young
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.5
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    • pp.349-356
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    • 2017
  • In this study, we propose a method to investigate topographic characteristics by applying machine learning which is an artificial intelligence analysis method based on the spatial data constructed using UAV and the training data created through spatial analysis. This method provides an alternative to the subjective judgment and accuracy of spatial data, which is a problem of existing topographic characteristics survey for officially assessed land price. The analysis method of this study is expected to improve the problems of topographic characteristics survey method of existing field researchers and contribute to more accurate decision of officially assessed land price by providing more objective land survey method.

Species Diversity Analysis of Ecosystem Survey Data Using Total Information (정보계측기법을 이용한 생태조사자료의 종다양도 분석)

  • Jung, Nam-Su;Lee, Jeong-Jae;Park, Seung-Kie;Kim, Woong
    • Journal of Korean Society of Rural Planning
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    • v.13 no.2
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    • pp.1-5
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    • 2007
  • Shannon and Simpson indexes are used for species diversity analysis of ecosystem. In species diversity analysis of ecosystem, not only frequency of each species but also survey size have to be considered. In this study, total information composed with knowledge and ignorance was suggested as a species diversity analysis method for ecosystem survey. To apply developed method, flora in the Sangachun river valley was sampled with 19 sites and 198 species. In applying results, Shannon index shows more reasonable results than Simpson index by the variance of sample size but has difficulties of determining the relation of surveying species number and sample site number. Suggested total information can overcome this difficulty by the relation of knowledge and ignorance.