• Spatial Information Research
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• v.10 no.2
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• pp.289-299
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• 2002

Recently, as the social interest about environmental problems is increased and the importance is highlighted, the related information and the demand of information are increased. and, the Total Pollution System will be executed soon. Therefore, the information management system which can manage and analysis related information efficiently and systematically become required. Especially, the development and application of GIS which can effectively manage and analyze information using spatial data have been processing by government, private institute, and related academic institute of all over the world. also their potentiality of application have been recognizing. The main purpose of this study is to develop the stream water quality management system which can simulate future water quality using water quality model(QUAL2E) and be integrated the whole step from calculating pollutant load divided by administrative district and watershed to displaying the result of modeling visually.

• The KIPS Transactions:PartD
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• v.12D no.4 s.100
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• pp.553-568
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• 2005

In order to integrate distributed biological information sources physically or virtually, it is necessary to overcome the heterogeneity of information sources and support a superior generality and adaptation in order to satisfy user's various demands. In this paper, we present a flexible and general XML query engine of a wrapper system in designing the middleware system to integrate data as well as application programs. Since this query engine applies user-defined XML view, it is possible to composite flexible integrated query. The query processing in a wrapper requires view composition, query translation into local sources, and generation of XML documents from local query results. We present a query processing model based on the view tree, where the n views and the XML queries are represented by the view tree. Moreover, to confirm the generality of our query processing model, we present a methodology of query processing for relational databases, web sources, and application programs whose return types of query results are relational tuples or XML documents.

• Journal of Korea Water Resources Association
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• v.47 no.3
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• pp.269-283
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• 2014

This study evaluated the environmental impact based on watershed characteristics and climate change using RCP climate change scenarios provided by the Korea Meteorological Administration. Future dam inflow was estimated by the SWAT model. Dam safety evaluation and downstream duration curve analysis was performed using HEC-ResSim model. Trends of water quality was analyzed through seasonal-Kendall Test using existing water quality observation data. Release discharge and tributary runoff derived SWAT and HEC-ResSim models applied to Qual2E and the future change in water quality trends were analyzed. Integrated environmental review watershed following techniques will be able to obtain the river environment management system and environmental issues such as climate change, new guidelines for preemptively response will be provided.

• The Journal of Industrial Distribution & Business
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• v.10 no.11
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• pp.57-69
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• 2019

Purpose: The purpose of this study is to investigate systematic and comprehensive explanation about safety behavior by applying integrated model of Theory of Planned Behavior (TPB) and Social Cognitive Theory (SCT). By showing the interrelationship of effects of factors affecting safety behavior in a single model, comprehensive understanding regarding safety behavior will be possible. Research design, data, and methodology: This study try to integrate the two theory, TPB and SCT, to introduce background factors, such as safety culture, affecting cognitive factors of subjective norm, safety attitude, perceived behavioral control, safety consciousness, which are again affecting behavior intention of the TPB. We composed 73 questionnaire to analyse the relationship among factors affecting safety behavior. The questionnaire were distributed to stewards and stewardesses of KAL, ASIANA, and LCCs. 422 were collected and used for analysis. Factor analysis, regression analysis, and control effect analysis were conducted using SPSS windows version 2.0. Results: The safety culture, safety atmosphere, and safety education/training were turned out to affect subjective norm, safety attitude, perceived behavioral control, safety consciousness. And the cognitive factors also showed to affect safety intention significantly. The results that safety intention affects safety behavior was found. Also there are control effect of cost consciousness and punishment while safety intention affects safety behavior. Conclusions: Safety is the virtue that should be given first priority to in our daily life. To secure safety, everyone in an organization should have high level of safety intention and conduct safety behavior. The study results provide systematic and comprehensive understandings on the relationship among factors affecting cabin crews' safety behavior. The results will help design safety related regulations, education/training, and support employees to engage in safety behavior related activities.

• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.31-45
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• 2007

Over the past decades, there have been numerous studies for approaches to build and operate electronic government systems. Among those studies, work breakdown structure(WBS) has been gained attention increasingly. As a general system engineering techniques. WBS is a kind of methods to engineer and manage electronic government systems effectively. WBS is to organizes tasks and data items for management and engineering for electronic government systems. In this paper, the authors proposed a conceptual WBS model for management and engineering electronic government systems. Also, the authors conducted a case study based on the conceptual WBS model. The results of this study provide useful insights and guidelines for applying the WBS to management and engineering for electronic government systems. The authors believed that the conceptual WBS models will be widely used to management and engineering an electronic government systems.

• Journal of the Korea Convergence Society
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• v.6 no.2
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• pp.25-30
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• 2015

The purpose of this study was to analyze the factors that affects the participating in a smoking cessation program. Data were from the A Study on the Seoul Welfare Panel Study 2010. Subjects were 1,326 smokers aged 19 and older living in the community. Dependent variable was defined as experience of smoking cessation. Explanatory variables were included as age, gender, level of education, employment status, household income, marital status, drinking, self-reported health status, depression, disease, and physical activity. A prediction model was developed by the use of a Decision Tree and Neural Network Algorithm. In the Prediction model, self reported health status, disease, income, household income were significantly associated with participating in a smoking cessation program. Based this study, systematic education and development of programs are required.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1489-1494
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• 2013

Tsunami happens rarely enough to allow a false sense of security, but when they do occur, there may be just minutes or hours for people to reach a safe location. Natural disasters like tsunami are inevitable and it is almost impossible to fully recoup damages caused by the disasters. However, it is possible to minimize the potential risk by developing early warning strategies. GIS modelling with its geoprocessing and analysis capability can play a crucial role in efficient mitigation and management of disaster. This study aims at developing integrated spatial information system processing model supporting tsunami evacuation action planning using geo-information technology such as GIS. The integration process classified into four phases. And in each phase, required input data and GIS processes are decided. The main effort in minimizing casualties in tsunami disaster is to evacuate people from the hazard area before tsunami strikes by means of either horizontal or vertical evacuation. The study provides essential spatial information for local decision making related with people's evacuation in tsunami-prone areas based on a modeling approach transferable to other coastal areas.

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.123-149
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• 2005

What the structure of knowledge management capability (KMC) to improve the organizational performance is an important issue for researchers and practitioners with growing interest in recent years. In this paper, we begin with a deep thinking about the resource-based view and knowledge-based view of the firm applying to knowledge management issues. By exploring the two underlying theories of knowledge management, together with an intensive review and interpretation of existing literatures, we obtain six major dimensions of KMC. We then propose an integrated conceptual model of KMC and its relationship with organizational performance. A PLS analysis of the gathered data from organizations in Korea which already have enterprise-wide knowledge management systems is conducted to validate the proposed model. We discuss several meaningful implications and draw several insightful conclusions surrounding the KMC.

• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.179-196
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• 2021

Port congestion rate at Busan Port has increased for three years. Port congestion causes container reconditioning, which increases the dockyard labor's work intensity and ship owner's waiting time. If congestion is prolonged, it can cause a drop in port service levels. Therefore, this study proposed an anomaly detection method using ARIMA(Autoregressive Integrated Moving Average) model with the daily volume data from 2013 to 2020. Most of the research that predicts port volume is mainly focusing on long-term forecasting. Furthermore, studies suggesting methods to utilize demand forecasting in terms of port operations are hard to find. Therefore, this study proposes a way to use daily demand forecasting for port anomaly detection to solve the congestion problem at Busan port.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.95-105
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• 2019

The Cooperative Engagement Capability (CEC) System produces a synergy between the sensors and shooters that are used on various platforms by integrating them. Even the US Navy has been recently adopting the CEC system that maximizes the effectiveness of the air defense operations by efficiently coordinating the dispersed air defense assets. The Navy of other countries are conducting research studies on the theory and application methods for the CEC system. The ROK Navy has limited air defense capabilities due to its independent weapons systems on battle ships. Therefore, the ROK Navy is currently going through a phase where research on proving the validity of building the CEC system because it will provide a way to overcome the limit of the platform based air defense capability. In this study, our goal is to propose methods that maximize the air defense capability of ROK Navy, identify the available assets for constructing the CEC system, and estimate effects of the CEC system when it is applied to the naval operations. In addition, we will provide a simple model that was developed to estimate these effects and a case study with virtual data to demonstrate the effects of the system when it is applied to the naval operations. The research result of this study will provide a way for building the basis of the Korean CEC system.