Journal of Korean Society for Geospatial Information Science
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v.10
no.2
s.20
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pp.19-27
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2002
The goal of this research is to develop the method of facility management which is used to manage the facility efficiently by using existing analyses of a system and a operation, and establish the method of a facility administration by applying AHP(Analytic Hierarchy Process) model. Because the standard of a accuracy in spacial analysis and calculation is a unclear, the exact analysis of a geographic data for a decision-making needs statistical analysis and administrator-centered type of system didn't satisfy the desire of users. There must be the existing general statistics module, integrated internet GIS and the composition of interface in order to structure a spacial statistics analysis methods that satisfy the matters desired in internet GIS into the spacial analysis function. This paper presents the need of internet GIS and AHP Model in supporting and managing function of all facilities in campus and introduce the possibility of applying.
Kang, Ju-Hee;Ryoo, Na-Young;Shin, Dong Wun;Trojanowski, John Q.;Shaw, Leslie M.
The Korean Journal of Physiology and Pharmacology
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v.18
no.6
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pp.447-456
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2014
Until now, a disease-modifying therapy (DMT) that has an ability to slow or arrest Alzheimer's disease (AD) progression has not been developed, and all clinical trials involving AD patients enrolled by clinical assessment alone also have not been successful. Given the growing consensus that the DMT is likely to require treatment initiation well before full-blown dementia emerges, the early detection of AD will provide opportunities to successfully identify new drugs that slow the course of AD pathology. Recent advances in early detection of AD and prediction of progression of the disease using various biomarkers, including cerebrospinal fluid (CSF) $A{\beta}_{1-42}$, total tau and p-tau181 levels, and imagining biomarkers, are now being actively integrated into the designs of AD clinical trials. In terms of therapeutic mechanisms, monitoring these markers may be helpful for go/no-go decision making as well as surrogate markers for disease severity or progression. Furthermore, CSF biomarkers can be used as a tool to enrich patients for clinical trials with prospect of increasing statistical power and reducing costs in drug development. However, the standardization of technical aspects of analysis of these biomarkers is an essential prerequisite to the clinical uses. To accomplish this, global efforts are underway to standardize CSF biomarker measurements and a quality control program supported by the Alzheimer's Association. The current review summarizes therapeutic targets of developing drugs in AD pathophysiology, and provides the most recent advances in the clinical utility of CSF biomarkers and the integration of CSF biomarkers in current clinical trials.
Korean Government has developed Sejong City as a new administration city. This city of future was planned and designed toward one of the most eco-friendly city on the basis of ICTs. To attain this object, a carbon emission monitoring system (CEMS) was designed and installed as a part of u-city service which provides various information anytime and anywhere to enrich the people's quality of life. In this paper, at first, the structure and functions of CEMS are introduced. This system is consist of 5 parts - data collection from user and linked public DBs, transforming data into meaningful information for the policy makers, system-user interfacing via statistical tables and graphs, and system maintenance. This system can be operated by the citizen participation through whole the process. With the help of GIS map and graphic interface, statistics of monitored data for both citizen and decision maker provided and after feed-back, they have affected on the behaviour of citizen's energy consumption and related policy as well. By the CEMS, energy consumption data of 124 agreed households were collected during 9 months in 2012. Electricity, gas and water consumption were remote-metered automatically by the system and analysed. This showed that more than 85% of CO2 emission is rely on electricity usage. Furthermore, number of family members and size of house influences on the emission of CO2 by each household together with the life-style of the occupants. Electricity and water consumption showed the seasonal factor while gas consumption represents the number of family members. Even this paper has limitations caused by 9 months of data collection, it shows the policy directions to reduce the emission of CO2 focusing on the house size and number of family members of each households. With the result of this research, life-style of the generation of dwellers should be investigated and the CO2 emission characteristics of other housing type as well for the data building for future policy making.
Proceedings of the Korean Institute Of Construction Engineering and Management
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2004.11a
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pp.256-260
/
2004
As a large portion of defence budget are alloted for military facility construction, reasonable budget estimation in the planning stage has been officers' main concerns. However the proper estimation of construction cost is difficult to be carried out due to the absence of systematic criteria. To improve the budget estimation for military facility construction, this study proposes a cost index model which can convert historical cost to current cost. Thus the developed cost index would enhance effectiveness of budget estimation process 3nd support reasonable decision making. This cost index model is developed by analyzing historical cost data with statistical methodology The study is executed by following process. First, factors which affect construction cost for the most are selected by analyzing historical cost data. second, the selected factors are categorized material cost, labor cost and equipment cost, and weights of those factors are calculated by dividing the cost of each factor by total item costs. Last, cost index is developed by using weighted average method.
The main purpose of this research was to provide an example of a scientific and systematic approach to designing nurses' uniforms. Uniforms for the staff nurses and head nurses at Korea University Medical Centers were designed through the following four steps: research and analyses, design direction establishment, design presentation, and final decision. For the research and analyses, a focused group interview with 14 head nurses were conducted before the actual questionnaires were formed and distributed to 200 nurses at the medical centers. The data collected from 182 among 200 subjects were able to be used for the statistical analyses. As a result, the majority of nurses were not satisfied with the present nurse uniforms. They preferred pants to skirts, and straight pants to tapered pants. Blouses or jackets that slightly cover hips with sleeves reaching above the wrists were also preferred. Many respondents wanted uniforms that were practical and easy to manage. The ideal image of nursing uniforms were feminine, lively, active, light, cool, simple, and modern. According to the research and analyses result, design directions were established and uniform designs were presented to head nurses. Uniforms were designed based on symbols of Korea University and Korea University Medical Centers. Colors including white, pink, and grey were selected to represent the ideal image of nursing uniforms designated by the respondents. Fabrics including polyester(95%) and spandex(5%) blends, polyester(48%), rayon(48%), and spandex(4%) blends, and cotton(100%) were used for making garment samples. Final designs were decided by selecting and modifying the designs presented to the head nurses.
Tak, Jin-Kook;Lee, Dong-Ha;Park, Ji-Hyun;Kim, Hyun-Hae;Jung, Byung-Suk
The Korean Journal of Applied Statistics
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v.21
no.3
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pp.469-484
/
2008
This study was intended to examine various work and environmental variables explaining newcomers' turnover intentions. Data were collected from 901 newcomers using online survey. Results of multiple regression analyses showed that individual-job fit, reward dissatisfaction, fringe benefit dissatisfaction, vision in organization, participation in decision making, realistic job preview, leader dissatisfaction, co-worker relationship and work environment explained significant variances of turnover intentions. Data were classified into full-time and part time employees based on employment type and into a large and a small-medium company based on company size. There were small differences in significant variables explaining turnover intentions based on company size as well as employment type. Finally implications and future research were discussed.
The first theme of this study is to preserve and manage rural multi-functionality resource Information. This study is to suggest the method that can irradiate rural multi-functionality resource Information efficiently and constructively. GIS uses PDA and Tablet PC as an investigation tool and verifies the outcome of the development in the investigation system. This study enhanced the mobility function of PDA by installing recording system and camera to the PDA. Also, Using GPS has been ensured scientific precision and realism to the investigation. Direct input on spot can save time, cost and minimize human error by simplifying the investigation process. Database is composed of characters like scale, form, location, distance, resident's opinion and image of 37 resources. The survey system was applied in 170 villages and got a total of 12,270 resources data. Management system should be easy to input and output the surveyed information and to get reports in any kind of form ( i.e. final result can be produced as a map). By utilizing of the Rural Resource information system, the study made a simulation to compare the target areas before and after. Also, digitalized investigation system, minimized re-input and reprocessing of data and enabled to simplify and standardize the process than memorandum investigation. Data collected through digital system could offer people useful information by Web-GIS. It was need to specify practical way in decision-making and a way to measure the value of resources to align with the regional plan. Also, need to keep on developing statistical data and application program that can connect us to present the best solution to support regional planning. Therefore, quality of data is very important. Finally, it is very important to develop various programs to analyze space md rural resource by monitoring rural environment.
Bivariate measure of risk and error(BMORE) plot is originally designed to depict bivariate output data and related statistics obtained from a stochastic simulation such as sample mean, median, outliers, and a boundary of a certain percentile of simulation data. When compared to the static numbers, the plot has a big advantage in visualization that enables scholars and practitioners to understand the potential variability and risk in the simulation data. In this study, beyond just the construction of the plot to depict the variability of a certain system, we add a chance constraint to the plot and apply it for decision making such as checking the feasibility of systems, comparing performances of the systems on statistical background, and also analyzing the sensitivity of the problem parameters. In order to demonstrate an application of the plot, we employ an inventory management problem as an example. However, the techniques and algorithms suggested in this paper can be applied to any other problems comparing systems on bivariate performance measures with simulation/experiment results.
Journal of Korean Society of Industrial and Systems Engineering
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v.41
no.3
/
pp.50-60
/
2018
The use of Project Management Information System (PMIS) is increasing in project management industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project performance. However, how much and which parts of project management performance are affected by PMIS still need to be studied further. The purpose of this study is to investigate the impact of PMIS quality on project management performance. We collected data from various project based industries such as construction, defense, manufacturing, software development and telecommunication by using survey questionnaire. PMIS quality was measured in three dimensions. They are system quality, information quality and service quality. Project management performance was measured in nine variables such as time reduction, work accuracy, cost management, etc. Statistical analyses such as multiple regression were used to analyze the data. The results showed that PMIS quality had significant impacts on the project management performance and user satisfaction. It was notable that only two dimensions out of the three PMIS quality dimensions, system quality and information quality, affected the project management performance. Also, it was found that PM performance played a mediating role between PMIS and user satisfaction, and between PMIS and reuse intention. The contribution of this research is that it helps to clarify what aspects of PMIS affect the project management performance and user satisfaction.
This study aims to examine the socio-demographic heterogeneity of community participation in rural Korea. Data was collected through interviews with 1,870 rural householders and housewives who have lived in Up or Myen as an administrative unit of rural communities, and analyzed by the SPSS/PC Win V.10 program. The statistical techniques used for this study were frequency and percentile. The major findings of this study were as follows. Firstly, the extent to which rural people have participated in community organizations were: cooperative groups, $80.8\%$; religious groups, $20.6\%$; learning groups, $12.7\%$; political groups, $9.8\%;$ civil groups $6.7\%$; and voluntary groups, $5.3\%$. Whereas the numbers were high for community participation in groups related to agricultural production, participation in civil and voluntary groups were lower. Secondly, it showed that people who lived in urbanized and high population density areas were more likely to participate in community groups. The diversity of community organizations was different according to the level of rurality. Thirdly, farm householders were more likely to participate in religious, civil and voluntary groups than non-farm householders. Fourthly, people with higher education, females, those in the 40 to 50 age groups were more likely to participate in community organizations. Fifthly, even though men are more likely to participate in political parties, women were more likely then men to agree that women should participate in political parties. This empirical study could support the results of Sundeen (1988) and Wilson and Musick (1997) in that education was related positively to community participation. In addition, we concluded that community participation in a rural development process has two main considerations: philosophical and pragmatic. This implies that there is room for government to enable and facilitate 'true' community participation. That can be done through policy reform which creates a permissive environment for community decision-making and input, in addition to simply supporting community development through financial assistance.
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