• Journal of Korean Society of Water and Wastewater
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• v.38 no.2
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• pp.69-81
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• 2024

In this study, an evaluation system that can be used to evaluate the feasibility of developing and supplying hydrothermal energy for the operation of large-scale complex facilities was developed. To this end, this study derived factors to be considered when selecting a location for the use of hydrothermal energy using raw water from multi-purpose dams and regional water supply systems through literature survey and expert interviews. The evaluation indicators derived from this study are divided into four sectors: hydrothermal energy utilization factors, location factors, planning factors, and disaster safety factors, and are composed of 10 mid-level indicators and 34 detailed planning indicators. The relative importance of all factors was derived using the Analytic Hierarchy Process (AHP) technique, and the developed evaluation indicators and relative importance were applied to four multi-purpose dam regions in the country. As a result, it was found that in the development and use of hydrothermal energy utilizing regional raw water supply line the urban planning conditions of the supply site can have a greater impact on the location selection results than the hydrothermal energy development itself. Due to the characteristics of the evaluation indicators developed in this study and their nature as comprehensive indicators, it is believed that the results should be applied to determine the overall adequacy of site selection in the early stages of hydrothermal energy development. In the future, it is believed that it will be necessary to analyze the problems in supplying and operating hydrothermal energy using raw water from multi-purpose dams and regional water resources. Based on the analysis the evaluation system developed in this study is expected to be improved and supplemented.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.3
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• pp.1-17
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• 2023

Korea's natural parks are managed by dividing them into four use districts: nature preservation district, natural environment district, cultural heritage district, and park village district within the park under the goal of 'conservation and sustainable use of natural parks'. However, the use districts divided in this way are designated by reflecting the results derived from the simple drawing overlapping method, and there is a limit in that objective and scientific evidence for this is insufficient. In addition, in Taeanhaean National Park, the case of this study, only a very small area of less than 1% of the nature preservation district is designated, and the natural environment district that serves as a buffer space is designated on an excessively wide scale, making it difficult to efficiently manage the national park. Therefore, the use district is not fulfilling its role. In this study, the purpose of this study was to present a method for analyzing the spatial characteristics of natural parks using environmental indicators and unsupervised learning analysis methods to set the use districts of natural parks. In this study, evaluation indicators that can evaluate the natural and human environments were derived, and the distribution patterns for each indicator were analyzed. Afterwards, by applying Self-Organizing Map (SOM) analysis, one of the unsupervised learning analysis methods, districts with similar characteristics were derived in Taeanhaean National Park, and the characteristics of each district were analyzed. As a result of the study, 7 districts with different characteristics were derived in Taeanhaean National Park, and by examining the contribution of each indicator together, it was possible to reveal that each district had different representative characteristics even though it was an adjacent area. This study evaluated natural parks by comprehensively considering the indicators of the natural and human environments. In addition, the SOM method used in the study is meaningful in that it can provide scientific and objective grounds for the existing zoning and apply it to the management plan.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.312-313
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• 2018

As global climate change leaded to extensive natural disaster and radical deterioration of infrastructures, there was increased attentions for the evaluation of infrastructures. After the collapse of Seongsu Bridge in 1994, Korea has enacted the "Special act on safety and maintenance of facilities" and secured the safety of facilities using systematic and periodic safety inspections. However, current facility inspections are mainly performed by the physical defect and structural analysis, and do not properly consider the serviceability of infrastructure such as capacity of facility and user's satisfaction. Thus, the purpose of the study is to develop an evaluation criteria for serviceability of infrastructures and finally leading to the revision of "Special Act on safety and maintenance of facilities in rational manner.

• Journal of Engineering Education Research
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• v.18 no.2
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• pp.27-32
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• 2015

The paper deals with the analysis for improving evaluation system of government-supported program in developing engineering college. I think that it is important to consider evaluation system of government-supported program and faculty in the aspect of policy responsibility and autonomy. I suggest three proposals. First, in the perspective of evaluation system of government-supported program, it is important to keep the balance between SCI-based evaluation and practical & University Industry Corporation (UIC) indicator or keep the balance between quantitative indicators and qualitative indicators. Second, in the perspective of evaluation system of faculty, UIC-friendly evaluation system should be expanded and institutionalized. Finally, the evaluation systems should be not only built, but also utilized for developing engineering college.

• Women's Health Nursing
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• v.24 no.2
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• pp.138-149
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• 2018

Purpose: To identify and clarify the concept of labor support. Methods: This study used Schwartz-Barcott & Kim's hybrid model to identify the main attributes and indicators. In the fieldwork stage, data were collected in Seoul and Chenmam, Korea. The participants were five nurses working in the delivery room and four women who delivered more than two children by vaginal delivery. Results: The concept of labor support was found to have nine attributes and 23 indicators in two dimensions. For the physical intervention dimension, five attributes were derived. They were pain relief, selective use of technology, ambulation/positioning, physiological pushing, and increasing comfort. For the labor support practices dimension the attributeswereprovidinginformation, relief and encouragement, family support, and presence. Conclusion: The concept analysis of labor support in this study could provide guidelines for 'labor support' nursing practice and be useful for research in the women's health field.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.129-159
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• 2019

The Purpose of this study is to develop an evaluation model for usability of research data service from the angles of evaluating usefulness of research data service itself and research data use experience-based usability. First, the various cases of evaluating usability of data services are examined and 4 rating scales and 20 measuring indicators for research data service are derived as a result of comparative analysis. In order to verify validity and reliability of the rating scale and the measuring indicators, the study conducted a survey of 164 potential research data users. KMO Bartlett Analysis was performed for validity test, and Principle Component Analysis and Verimax Rotating Method were used for component analysis on measuring indicators. The result shows that the 4 intrinsic rating scales satisfy the validity criteria of KMO Barlett; A single component was determined from component analysis, which verifies the validity of measuring indicators of the current rating scale. However, the result of 12 user experience-based measuring indicators analysis identified 2 components that are each classified as rating scale of utilization level and that of participation level. Cronbach's alpha of all 6 rating scales was 0.6 or more for the overall scale.

• World Technopolis Review
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• v.1 no.3
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• pp.206-225
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• 2012

The development of the Surrey Research Park by the University of Surrey is an addition to a number of existing strategies to collaborate with industry that it has developed over its 120 year history. The potential to undertake this development was based on owning a substantial land holding that the University acquired when the Borough Council for the town of Guildford invited the University to relocate from Battersea in London to its new location in 1966. Initial plans for the Park in 1979 were accelerated in 1981 in response to plans by the then government to reduce funding for Higher Education in the UK. Beyond a broad master plan for the site that was based on topography and access to the site the plans that were developed were based on a survey of 100 companies that were deemed to be in the target market for the site and a review of the other 7 science parks that were being developed in the UK in 1981. The findings from this proved to be important in developing the master plan for the site. Another important influence on the project was the objectives that were defined for the 3 stakeholders in the project of the University, the tenant companies and the planning authority relate to economic development, a competitive advantage of tenant companies, knowledge transfer, the profile for the University and the capacity to generate income proved to be a valuable framework on which to develop a master plan. These details were underpinned by five objectives which served the three stakeholders in the site. Those for the University included commercial potential, knowledge transfer and image and reputation; those for the town primarily related to economic development and the plan was to help tenants gain a competitive advantage by locating on the site. In addition a number of success indicators were defined for the project against which to measure performance and have remained as a useful set of parameters on which to base the assessment of the performance of the site. In combination with these indicators a further analysis deals with the success factors that are considered as important in influencing performance. The paper sets details the history of the park and covers the success indicators and factors and reviews these in the context of the original objectives for the site.

• Journal of agriculture & life science
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• v.44 no.3
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• pp.99-110
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• 2010

This paper builds a system of indicators representing rural regional development level. Indicators were classified into two groups, that is, living environment indicator group and regional vitality indicator group. Living environment indicator group consists of four indicators including housing, road, water supply, and sewage system, while regional vitality indicator group consists of five indicators including regional economy, public finance, and demography. Real data of the year 2002 and 2006 were used to do the basic statistical analysis and estimate the suitable statistical distributions for each indicator. Data were applied for the three city/county type, general city, urban-rural combined city, and county. General cities have the strongest urbanization tendency among the three types, while counties have the weakest tendency. General cities turned out to be superior in housing condition, road density, water supply system and sewage system. Indicators of employment and local finance showed the highest levels in counties. The results of this analysis are expected to provide local governments with the appropriate reference for their rural regional development policy.

• Journal of Environmental Impact Assessment
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• v.14 no.4
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• pp.165-177
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• 2005

This study was carried out to offer the basic methodology of the system and model to objectively assess the natural ecosystem for environmentally friendly land conservation and present the alternative plan on establishing the environmental policy. The results of this study were as follows. We selected four assessment factors associated with biotic, abiotic, qualitative, and functional factors. Also, there were extracted fifty-six indicators including density, total nitrogen, hemeroby degree, and goods production. The assessment factor showed that biotic one was very important. The importance of indicators were analyzed that rare and endangered plant was important in biotic factor, in case of abiotic, qualitative, and functional factors, organic matter, landscape diversity, and conservation of ecosystem were greatly important. The results of factor analysis on the characteristics of indicators, classified biotic factor into six factors including a structural one, abiotic factor as a soil and physical one, qualitative factor as five ones including hierarchical one, and functional factor as public and conservational one. In the results of analysis on assessment model, R-square of biotic factor was 51.7%, those of abiotic, qualitative, and functional one were each 58.4%, 44.2%, and 39.3%, and statistical problem was no existence. In future, to develop the assessement model and methodology of sustainable natural ecosystem, we will have to achieve the integrated model and grouping by assessment factor.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.191-196
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• 2015

There have been many studies on statistical forecasting on firm's performance and stock price by applying various financial indicators such as debt ratio and sales growth rate. Selecting predictors for constructing a prediction model among the various financial indicators is very important for precise prediction. Most of the previous studies applied variable selection algorithms for selecting predictors. However, the variable selection algorithm is considered to be at risk of eliminating certain amount of information from the indicators that were excluded from model construction. Therefore, we propose a firm's performance prediction model which principal component analysis is applied instead of the variable selection algorithm, in order to reduce dimensionality of input variables of the prediction model. In this study, we constructed the proposed prediction model by using financial data of American IT companies to empirically analyze prediction performance of the model.