• Journal of the Korean association of regional geographers
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• v.4 no.2
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• pp.79-94
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• 1998

This study begins with emphasis on the approach to public policy development and the extent to which a GIS framework can be used to evaluate projects objectively. This paper relates to public policy making and the use of GIS as a strategic management tool rather than the development of GIS technologies which has been the focus of attention since the advent of the first generation GIS systems in the 1960s. In order to consolidate a view towards public policy, the aim of this study is to show the advantages of using GIS to generate results which could be evaluated by cost and benefit analysis giving options of the alternative methods to estimate the feasibility of projects (both tangible and intangible) in a real public policy scenario. This study also reports that the tangible benefits associated with the GIS projects are better information processing, the easy analysis of data and the cost savings of map updates and printing, whilst the intangible benefits include quality decision making, and precise management of data through computing networks. In GIS context, the task of analysing and evaluating GIS projects is assumed in order to facilitate scientific and quantitative cost-benefit analysis. Previous methods of the cost-benefit analysis has not fully supported the evaluation of the intangible benefits and it has not been possible to make public policy realistic or scientifically understandable limiting decision makers in public domain. With the GIS decision makers are able to explore the potential of projects with this powerful decision supporting tool in practical application. On the basis of its potentials and limitations to cost-benefit analysis, therefore, it can be concluded that more flexible analysis and evaluation methodologies are needed to extend into the intangible benefits. In order to balance the evaluation of both quantitative and qualitative approaches on the cost-benefit analysis new or additional utilities will be required for the next GIS generation appraisal tool.

• Informatization Policy
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• v.29 no.3
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• pp.26-47
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• 2022

"The certification of compliance of new products of industrial convergence" (hereinafter referred to as "certification of compliance") is a legal certification system in accordance with the Industrial Convergence Promotion Act through which a convergence new product can be officially certified without legislation when the certification standards applicable to the product are not yet provided. Unlike other certification systems, the certification of compliance is characterized by the role of resolving the certification difficulties driven by the regulatory lag of convergence new products. Nevertheless, studies that analyzed the certification of compliance in detail from the viewpoint of regulatory improvement were surprisingly rare. Through the sequential matching of the steps of certification of compliance with the process from the occurrence of a regulatory problem to resolution, our study provided clear understanding as to how the regulatory lag could be reduced by the procedure for certification of compliance. Furthermore, we divided the perspective on regulatory lag management into quantitative and qualitative, and the structures and practices of certification of compliance were then analyzed from the two perspectives. By doing this, the present study emphasized that the fundamental reason the certification of compliance could effectively solve the regulatory lag problem of convergence new products was not only the quantitative elements such as legal deadlines for each step but also several qualitative approaches to securing the quality of every stage.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.241-261
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• 2022

The present study aims to investigate the effects of information poverty on North Korean refugees' social adaptation to South Korea based on Chatman's Theory of Information Poverty (1996). Based on the Theory of Information Poverty, information poverty consists of four variables: Secrecy, Deception, Risk-taking, and information acceptance in response to situational relevance. And based on the previous studies, adaptation to South Korean life is divided into social adaptation and psychological adaptation. From August 4 to August 30, 2021, after approval by the IRB through the North Korean refugee support organization , surveys were conducted with North Korean refugees who had lived in South Korea for at least one year and were aged 19 or older. The 100 collected valid data were analyzed using frequency analysis, reliability analysis, correlation analysis, and multiple linear regression analysis. Findings of the study indicated that information poverty had significant effects on North Korean refugees' social and psychological adaptation. In particular, the "deception" variable had negative effects on social and psychological adaptation. The study has theoretical implications that it explains North Korean refugees' adaptation to South Korea based on Theory of Information Poverty by defining them as information poor. Above all, it attempts a quantitative approach through operationalization of key concepts unlike previous studies that were conducted with qualitative approaches.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.43-45
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• 2021

The short-term quantitative precipitation prediction (QPF) system is important socially and economically to prevent damage from severe weather. Recently, many studies for short-term QPF model applying the Deep Neural Network (DNN) has been conducted. These studies require the sophisticated pre-processing because the mistreatment of various and vast meteorological data sets leads to lower performance of QPF. Especially, for more accurate prediction of the non-linear trends in precipitation, the dataset needs to be carefully handled based on the physical and dynamical understands the data. Thereby, this paper proposes the following approaches: i) refining and combining major factors (weather radar, terrain, air temperature, and so on) related to precipitation development in order to construct training data for pattern analysis of precipitation; ii) producing predicted precipitation fields based on Convolutional with ConvLSTM. The proposed algorithm was evaluated by rainfall events in 2020. It is outperformed in the magnitude and strength of precipitation, and clearly predicted non-linear pattern of precipitation. The algorithm can be useful as a forecasting tool for preventing severe weather.

• Information Systems Review
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• v.21 no.1
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• pp.39-59
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• 2019

E-learning has improved the educational effect by making it possible to learn anytime and anywhere by escaping the traditional infusion education. As the use of e-learning system increases with the increasing popularity of e-learning, it has become important to measure e-learning satisfaction. In this study, we used the mixed research method to identify satisfaction factors of e-learning. The mixed research method is to perform both qualitative research and quantitative research at the same time. As a quantitative research, we collected reviews in Udemy.com by text mining. Then we classified high and low rated lectures and applied topic modeling technique to derive factors from reviews. Also, this study conducted an in-depth 1:1 interview on e-learning learners as a qualitative research. By combining these results, we were able to derive factors of e-learning satisfaction and dissatisfaction. Based on these factors, we suggested ways to improve e-learning satisfaction. In contrast to the fact that survey-based research was mainly conducted in the past, this study collects actual data by text mining. The academic significance of this study is that the results of the topic modeling are combined with the factor based on the information system success model.

• Korean Journal of Ecology and Environment
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• v.52 no.1
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• pp.50-64
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• 2019

Recently, quantitative analyses of food web structure based on carbon and nitrogen stable isotopes are widely applied to environmental assessments as well as ecological researches of various ecosystems, particularly rivers and streams. In the present study, we analyzed carbon and nitrogen stable isotope ratios of POM (both planktonic and attached forms), zooplankton, benthic macroinvertebrates and fish collected from 6 sites located at Nakdong River. Samples were collected from upstream areas of 5 weirs (Sangju, Gangjeong-Goryeong, Dalseong, Hapcheon-Changnyeong, and Changnyeong-Haman Weirs) and one downstream area of Hapcheon-Changnyeong Weir in dry season (June) and after rainy season (September). We suggested ranges of their carbon and nitrogen stable isotope ratios and calculated their trophic levels in the food web to compare their temporal and spatial variations. Trophic levels of organisms were relatively higher in Sangju Weir located at upper part of Nakdong River, and decreased thereafter. However, the trophic levels were recovered at the Changnyeong-Haman Weir, the lowest weir in the river. The trophic level calculated by nitrogen stable isotope ratios showed more reliable ranges when they were calculated based on zooplankton than POM used as baseline. The suggested quantitative ecological information of the majority of biological communities in Nakdong River would be helpful to understand the response of river food web to environmental disturbances and can be applied to various further researches regarding the quantitative approaches for the understanding food web structure and function of river ecosystems as well as restoration.

• Journal of Energy Engineering
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• v.17 no.3
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• pp.145-152
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• 2008

Approaching to the era of high energy price and energy sources scarcity, the demand for governmental intervention to mitigate the short-term shocks is highly increasing. When any energy policy is implemented, double-side effects would be derived. To begin with positive aspect, by decreasing energy import, unnecessary currency outflow can be prevented and the resultant saved money will be appropriately allocated. Furthermore, industrial competitiveness will be assured by reducing use of expensive energy. On the contrary, inappropriate energy saving policy may lead to unexpected negative effects that would hinder improvement in productivity due to indiscreet replacing energy by equipments. In order to enhance effectiveness of energy policy, efforts should be made in advance to understand the energy use pattern of each industry sector which composes the economy. Therefore, in this study, an energy input-output method, one of the macroscopic approaches, is applied to analyze energy use patterns of each industry sector in Korea. Using this method, a quantitative assessment is performed to obtain the energy use intensity and the amount of energy uses with respect to energy types.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.205-214
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• 2013

Team collaboration is becoming commonplace and it is spotlighted in agile software development projects as well. More efficient teamwork in terms of effective team operation and project performance is very important. Heuristic software development staffing method has been used, but algorithm approach is needed to compensate for it. In this paper, we propose a mathematical approaches for staffing developers in teamwork-based software development projects. This consist of six process, and activities in each processor is defined as a mathematical function placement, and functional deployment matrix is used. A case study is presented in order to prove the usefulness of this approach. This paper is a significant research because a mathematical approach of work assignment is developed for human resources by quantitative logic and it deviate from intuitive or heuristic methods used previously.

• Korean Journal of Adult Nursing
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• v.27 no.4
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• pp.384-396
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• 2015

Purpose: The purpose of this study was to describe the approaches, methods and questions asked in intensive care unit studies published in Korean journals and the American Journal of Critical Care (AJCC) from 1992 to 2011. Only quantitative studies were reviewed. Methods: A total of 144 studies published in four Korean Journals and 521 studies published in American Journal of Critical Care (AJCC) were analyzed using descriptive statistics. Results: The most frequently used research design reported in Korean journals were surveys (83.5%), protocol development (10.1%), and randomized controlled trials (6.2%). In AJCC, the most frequently reported design was survey research (90.4%) and randomized controlled trials (16.1%). The most frequent nursing intervention reported in the AJCC was tube care (10.8%), and in Korean journals the intervention of suctioning (10.8%). In Korea, nurses were more likely to study instrument measurements (31.0%) and positioning (13.5%). In reported studies in the AJCC there were more reports on emotional support, exercise, and measurement research. Conclusion: There is overlap in the type of studies between the two countries in term of study design, whereas the types of nursing problems studied differed in United States and Korea. The result suggests that there were gaps and those more diverse studies and physiological measurements are needed.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.11
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• pp.4499-4505
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• 2014

Glioblastoma, the most aggressive and malignant form of glioma, appears to be resistant to various chemotherapeutic agents. Hence, approaches have been intensively investigated to targeti specific molecular pathways involved in glioblastoma development and progression. Aloe emodin is believed to modulate the expression of several genes in cancer cells. We aimed to understand the molecular mechanisms underlying the therapeutic effect of Aloe emodin on gene expression profiles in the human U87 glioblastoma cell line utilizing microarray technology. The gene expression analysis revealed that a total of 8,226 gene alterations out of 28,869 genes were detected after treatment with $58.6{\mu}g/ml$ for 24 hours. Out of this total, 34 genes demonstrated statistically significant change (p<0.05) ranging from 1.07 to 1.87 fold. The results revealed that 22 genes were up-regulated and 12 genes were down-regulated in response to Aloe emodin treatment. These genes were then grouped into several clusters based on their biological functions, revealing induction of expression of genes involved in apoptosis (programmed cell death) and tissue remodelling in U87 cells (p<0.01). Several genes with significant changes of the expression level e.g. SHARPIN, BCAP31, FIS1, RAC1 and TGM2 from the apoptotic cluster were confirmed by quantitative real-time PCR (qRT-PCR). These results could serve as guidance for further studies in order to discover molecular targets for the cancer therapy based on Aloe emodin treatment.