• Spatial Information Research
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• v.1 no.1
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• pp.89-94
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• 1993

GIS was appl ied for analysis of the potfnt ial degree of regional geologic hazard, expecially landslide, in the suburb of Seoul city. Potential elements causing a landslide are geology, slope geometry, groundwater, soil property, rainfall and vegetation etc. These factors were incorporated through GIS in order to predict the potential hazards, and to produce a regional geologic hazard map in the study area, For this study, ARC/INFO and ERDAS systems were used in SUN4-390 workstation.

• Korean Journal of Remote Sensing
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• v.7 no.2
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• pp.165-178
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• 1991

A geologic hazard map has been produced in the suburbs of Seoul using GIS technology to analyse the degree of geologic hazard, particularly landslides. Topographic, geologic and soil data were incorporated in a map through GIS, which enable to interpret, analyse and predict the regional geologic hazards. Potential elements causing a landslide are slope geometry, geology, groundwater table, soil property, rainfall and vegetation etc. These elements analysed in the study area were input into GIS system through cartographic simulation to produce the regional geologic hazard map. For this work, ARC/INFO(GIS) and ERDAS(IP) system were used.

• ETRI Journal
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• v.44 no.2
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• pp.208-219
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• 2022

Crime amount prediction is crucial for optimizing the police patrols' arrangement in each region of a city. First, we analyzed spatiotemporal correlations of the crime data and the relationships between crime and related auxiliary data, including points-of-interest (POI), public service complaints, and demographics. Then, we proposed a crime amount prediction model based on 2D convolution and long short-term memory neural network (2DCONV-LSTM). The proposed model captures the spatiotemporal correlations in the crime data, and the crime-related auxiliary data are used to enhance the regional spatial features. Extensive experiments on real-world datasets are conducted. Results demonstrated that capturing both temporal and spatial correlations in crime data and using auxiliary data to extract regional spatial features improve the prediction performance. In the best case scenario, the proposed model reduces the prediction error by at least 17.8% and 8.2% compared with support vector regression (SVR) and LSTM, respectively. Moreover, excessive auxiliary data reduce model performance because of the presence of redundant information.

• The Journal of Information Systems
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• v.32 no.4
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• pp.51-67
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• 2023

Purpose While research on ESG management in airlines is ongoing, research on airports, especially regional ones, remains insufficient. This study's point of departure is the inquiry into how the local airport industry is addressing global environmental shifts and engaging in ESG management activities. Design/methodology/approach Based on previous studies, the relationship between ESG(Environmental, Social, Governance) management, safety management, reputation, and management performance was analyzed. We analyzed 578 questionnaires through structural equation modeling using AMOS 21.0 to test our hypotheses. Findings First, environmental, social, governance, and safety management have a positive effect on both reputation and business performance. Second, reputation has affected business performance. Third, reputation was affected in the order of governance management, safety management, environmental management, and social management.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.894-907
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• 2022

The features extracted by convolutional neural networks are more descriptive of images than traditional features, and their convolutional layers are more suitable for retrieving images than are fully connected layers. The convolutional layer features will consume considerable time and memory if used directly to match an image. Therefore, this paper proposes a feature weighting and region integration method for convolutional layer features to form global feature vectors and subsequently use them for image matching. First, the 3D feature of the last convolutional layer is extracted, and the convolutional feature is subsequently weighted again to highlight the edge information and position information of the image. Next, we integrate several regional eigenvectors that are processed by sliding windows into a global eigenvector. Finally, the initial ranking of the retrieval is obtained by measuring the similarity of the query image and the test image using the cosine distance, and the final mean Average Precision (mAP) is obtained by using the extended query method for rearrangement. We conduct experiments using the Oxford5k and Paris6k datasets and their extended datasets, Paris106k and Oxford105k. These experimental results indicate that the global feature extracted by the new method can better describe an image.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.79-91
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• 2014

The purpose of this study is to analyze the status and the competitiveness improvement of game contents industry comparing to relative LQ index of the no. of character company, the no. of employee and the amount of revenue of 2011, 2012, and 2013 between including Metro area and regional blocks(kangwon, chungchung, daekung, honam, dongnam and jeju region. The results of this research are as follows. In case including metro regional analysis, no. of employee suggested Metro and Chungchung have high competitiveness in during the 3 years. And in case of no. of game company suggested honam, dongnam and jeju area have high competitiveness between 2012 and 2013. The amount of revenue of game industry indicated the only Metro area have over LQ 1.0 which relative higher competitiveness than the other culture contents industry. But in case of except of Metro, no. of game company indicated honam, jeju have relative high competitiveness over LQ 1.0 and the no. of employee indicated kangwon, chungchung, honam and jeju showed relative competitiveness during 3 years. The amount of revenue of game industry indicated kangwon, chungchung and honam suggested high competitiveness. Honam area have strong competitiveness among three category by regional longitudinal analysis. Kangwon and jeju area suggested 2nd strong regional competitiveness. The main competitiveness of game industry were well established among national industry cluster.

• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.749-758
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• 2012

Purpose: The purpose of this study was to develop a tool for measuring the intra-operative caring as perceived by regional anesthesia patients. Methods: A preliminary instrument with 54 questions, based on a literature review and semi-structured interviews with 11 regional anesthesia patients, was developed. A group of experts revised individual questions, and 34 questions were finally selected. This tool was tested with 137 regional anesthesia patients admitted to D university hospital in B city from August to October 2008. Results: The validity and reliability of the tool were tested using factor analysis. After item analysis, one question with a correlation coefficient under .30 was discarded After performing factor analysis on the final 33 questions, 7 factors were identified; holistic needs fulfillment, consideration, protective environment, cautiousness, concern, information, physical comfort. The total variance shown in the test was 73.5%. A Cronbach alpha of 0.96 showed the reliability of the instrument. Conclusion: Results of this study indicate that the tool is statistically reliable and valid to measure the intra-operative caring perceived by regional anesthesia patients. This tool can be utilized usefully in assessing the effects of nursing interventions for regional anesthesia patients.

• Preventive Nutrition and Food Science
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• v.12 no.2
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• pp.126-130
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• 2007

Noroviruses, members of the family Caliciviridae, are often found in shellfish grown in polluted water and are emerging as a leading cause of foodborne disease worldwide. As the presence of norovirus in food commodities becomes an important medical and social issue, there are increasing needs for designing improved detection methods for the virus. In this study, we tested the Agilent 2100 Bioanalyzer for the analysis of norovirus DNA amplified from oyster samples. Microchip electrophoresis provided us with more accurate information, compared to conventional agarose gel electrophoresis, in the resolution and quantification of amplified products. The development of an improved method for food-associated noroviruses would contribute to a rapid identification of contaminated food and improve our understanding of the modes of food contamination and norovirus transmission.

• Health Policy and Management
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• v.26 no.1
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• pp.30-38
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• 2016

Background: This study purposed to analyze the relationship between spatial distribution of Diabetes prevalence rates and regional variables. Methods: The unit of analysis was administrative districts of city gun gu. Dependent variable was the age- and sex- adjusted diabetes prevalence rates and regional variables were selected to represent three aspects: demographic and socioeconomic factor, health and medical factor, and physical environment factor. Along with the traditional ordinary least square (OLS) regression analysis, geographically weighted regression (GWR) was applied for the spatial analysis. Results: Analysis results showed that age- and sex-adjusted diabetes prevalence rates were varied depending on regions. OLS regression showed that diabetes prevalence rates had significant relationships with percent of population over age 65 and financial independence rate. In GWR, the effects of regional variables were not consistent. These results provide information to health policy makers. Conclusion: Regional characteristics should be considered in allocating health resources and developing health related programs for the regional disease management.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.551-562
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• 2021

Strategic management of universities is crucial for the regional competitiveness due to the high impact of universities on the economic growth of regions through entrepreneurial training and support. The study aimed to investigate the HEInnovate self-assessment tool, valuable in building entrepreneurship-oriented strategy, by considering the case of Turan University. The tool can be used to study entrepreneurial capabilities of the university and make strong management decisions. The self-assessment allows getting feedback from all stakeholders, including external ones, which helps to make institutional changes to influence the regional economic growth. The framework of the research is based on the theories of strategic management and regional competitiveness, which can be deployed with the HEInnovate self-assessment recommendations and findings. The research methodology comprises objective and functional approaches to system analysis. HEInnovate self-assessment by Turan university revealed some weaknesses in the university strategy and helped make some recommendations, namely, the university's entrepreneurial ecosystem must act as part of a regional business support ecosystem to provide input into local economic development, attract more international faculty and faculty with more practical experience, create an entrepreneurial culture across staff of the university, address a lack of internal structures to support staff, and improve university-business cooperation.