• International Commerce and Information Review
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• v.7 no.4
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• pp.97-115
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• 2005

This paper describes the characteristics and outline of the Japan trade EDI project and proposes a vision for the future. The results are as follows; First, the TEDI(Trade EDI) project was initiated to promote paperless trading(using XML documents) on open networks such as the Internet, and to construct associated legal structures. Second there is converting harbor EDI system in existing EDI to single window system. Third, the NACCS system has been put into operation in Japan. To develope NACCS system must associate other system such as financial, insurance, logistic.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.3
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• pp.15-21
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• 2000

The Intelligent Manufacturing Systems (IMS) Rapid Product Development (RPD) Project is an international partnership formed to build a pre-competitive research and development program that will address the integration of new technologies in manufacturing and provide an infrastructure for industry to cooperate much more closely in the product development cycle. In this explanatory paper, a research trend of the RPD project is briefly presented, together with its background and state-of-the-art, focusing on objectives and target results of its sub-projects which include rapid development of functional parts and tools, validation and reverse engineering, and information logistic system.

• Journal of the Korean Institute of Navigation
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• v.25 no.2
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• pp.159-172
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• 2001

The information technology(IT) development of telecommunication, along with the information analyzation over the world, enables the firms to process their inner and outer operations through Electronic Data Interchange (EDI) system. And the concept of logistics has become more important to the enterprises in strategic sense because it had aggrandized itself to more comprehensive and integrative concept. Also the world shipping market is more competitive than any other market. In these environment, to maintain competitive power, shipping firms process operations by Logistics Information system(LIS), And then, reduce the working processes, working time and its costs. So the LIS has become more important in developing our national logistics system and industry. Therefore, this study purposes on empirically analyzing the activation factors of shipping LIS and the relationship these, factors with logistic performances in the shipping industry. Considering environments of Shipping logistics information system, this study sets up the research model and hypothesis to examine the activation factors of shipping LIS and the relationship these factors with logistic performances. We used the field data on the 163 numbers of firms(29 overseas shipping companies and 133 forwarding Agency) to get the empirical evidence. According to the study results, The shipping LIS activation factors which the sample firms recognized as important: were top managers support, well structured communication channel, strategic plans connection and inner information analyzation level. And IS organization & human resources, IS discipline & training, software development, IS organizational alignment, database management system, information standardization, competitive advantage, financial support and government support represent partially significant. Also, the current shipping LISs main problems are expensive system cost, standardization of working processs, institutions imperfection and systems interaction defect. So these problems must be improved to activate shipping LIS.

• Journal of The Geomorphological Association of Korea
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• v.24 no.2
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• pp.91-101
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• 2017

Quantitative forecasting methods based on spatial data and geographic information system have been used in predicting the landslide location. This study compared the simulated results of logistic, Bayesian, and maximum entropy models to understand the uncertainties of each model and identify the main factors that influence landslide. The study area is Boeun gun where 388 landslides occurred in the year of 1998. The verification results showed that the AUC of the three models was 0.84. However, the landslide susceptibility distribution of Maxent model was different from those of the other two models. With the same landslide occurrence data, the result of high susceptible area in Maxent model is smaller than Logistic or Bayesian. Maxent model, however, proved to be more efficient in predicting landslide than the other two models. In Maxent's simulations, the responsible factors for landslide susceptibility are timber age class, land cover, timber diameter, crown closure, and soil drainage. The results suggest that it is necessary to consider the possibility of overestimation when using Logistic or Bayesian model, and forest management around the study area can be an effective way to minimize landslide possibility.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.6
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• pp.579-587
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• 2015

Landslides are major natural geological hazards that result in a large amount of property damage each year, with both direct and indirect costs. Many researchers have produced landslide susceptibility maps using various techniques over the last few decades. This paper presents the landslide susceptibility results from the geographically weighted regression model using remote sensing and geographic information system data for landslide susceptibility in the Inje area of South Korea. Landslide locations were identified from aerial photographs. The eleven landslide-related factors were calculated and extracted from the spatial database and used to analyze landslide susceptibility. Compared with the global logistic regression model, the Akaike Information Criteria was improved by 109.12, the adjusted R-squared was improved from 0.165 to 0.304, and the Moran’s I index of this analysis was improved from 0.4258 to 0.0553. The comparisons of susceptibility obtained from the models show that geographically weighted regression has higher predictive performance.

• Journal of the Korean Institute of Navigation
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• v.24 no.5
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• pp.343-360
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• 2000

The information technology(IT) development of telecommunication, along with the informationalization over the world, enables the firms to process their inner and outer operations through Electronic Data Interchange (EDI) system. And the concept of logistics has become more important to the enterprises in strategic sense because it had aggrandized itself to more comprehensive and integrative concept. Also the world shipping market is more competitive than any other market. In these environment, to maintain competitve power, shipping firms process operations by Logistics Information system(LIS), And then, reduce the working processes, working time and its costs. So the LIS has become more important in developing our national logistics system and industry. Therefore, this study purposes on empirically analyzing the activation factors of shipping LIS and the relationship these factors with logistic performances in the shipping industry. Considering environments of Shipping logistics information system, this study sets up the research model and hypothesis to examine the activation factors of shipping LIS and the relationship these factors with logistic performances. We used the field data on the 163 numbers of firms(29 overseas shipping companies and 133 forwarding Agency) to get the empirical evidence. According to the study results, The shipping LIS activation factors which the sample firms recognized as important: were top manager's support, well structured communication channel, strategic plan's connection and inner informationalization level. And IS organization ＆ human resources, IS discipline ＆ training, software development, IS organizational alignment, database management system, information standardization, competitive advantage, financial support and government support represent partially significant. Also, the current shipping LIS's main problems are expensive system cost, standardization of working process's, institution's imperfection and system's interaction defect. So these problems must be improved to activate shipping LIS.

• International Commerce and Information Review
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• v.16 no.1
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• pp.207-226
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• 2014

A trade logistic informatization system under Open Systems Interconnection(OSI) includes a Port Management Information System, a Maritime Information System, and an Export and Import Batch Processing System. These have made a great contribution in the creation of more convenient and efficient management for the logistics industries in our country. However, this management is exposed to the technological problems of networks due to the explosive use in the sending and receiving of e-documents. For our country to grow as a center for port and logistic information, we should make the best use of the control systems using networks and further advance the export and import logistic systems. Therefore, this study aims to propose management systems for a composite network and an invasion detection system for efficient management of an e-trade network under OSI. Methods to rationalize the internal organizations such as coordination of organizations and human resources according to alloted network functions, commissions and arbitrary decisions, and reorganization of relevant regulations are not discussed here. This study looked at trade network under OSI from the aspect of practical business affairs and presented a basis for further interpretation.

• Journal of the military operations research society of Korea
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• v.25 no.1
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• pp.179-198
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• 1999

This study concerns logistics support analysis record(LASR) which provides guaranteed support, and is needed in various weapon systems development and acquisition to develop the optimal factor for integrated logistics support(ILS) by reflecting the results of logistics support analysis(LSA). We observe and analyze the logistics management information(LMI) system used in the United States under the integrated data environment(IDE), and analyze the differences between logistics management information system and the LOADERS(logistic support analysis data entry and retrieval system) which is currently used in Korea. Based on the analyzed results, a improvement model that corresponds to reality and can be applied is presented.

• International Commerce and Information Review
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• v.10 no.1
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• pp.375-393
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• 2008

The purpose of this study is to investigate the Chinese investment environment and analyze the actual investment condition of Korean enterprises in China and examine the points at issue. In general, the investment environment in China shows satisfactory progress. China has a multiple and regional extension policy in investment. And the environment for investment changes to insufficiency of company profit, extension of service market, maintenance of legislative system, and insufficiency of preference about foreign company. There are situations of inclining to manufacturing, inclining of region, preference of independence investment, small-sized investment by small and medium enterprises, difficulty of financial assistance, excess of logistic cost, delay of logistic term, difficulty of settlement of legal dispute and difficulty of taking a relative information in investment of Korean enterprise in China. The results of the study indicate mostly that the investment of Korean enterprise into China needs turnover of service trade-tertiary industry, portfolio of investment territory, cooperation with Chinese enterprise through joint venture investment and a large-scale investment for extension of Chinese domestic market.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.4
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• pp.281-291
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• 2017

Nowadays, as traffic jams are a daily elementary problem in both developed and developing countries, systems to monitor, predict, and detect traffic conditions are playing an important role in research fields. Comparing them, researchers have been trying to solve problems by applying many kinds of technologies, especially roadside sensors, which still have some issues, and for that reason, any one particular method by itself could not generate sufficient traffic prediction results. However, these sensors have some issues that are not useful for research. Therefore, it may not be best to use them as stand-alone methods for a traffic prediction system. On that note, this paper mainly focuses on predicting traffic conditions based on a hybrid prediction approach, which stands on accuracy comparison of three prediction models: multinomial logistic regression, decision trees, and support vector machine (SVM) classifiers. This is aimed at selecting the most suitable approach by means of integrating proficiencies from these approaches. It was also experimentally confirmed, with test cases and simulations that showed the performance of this hybrid method is more effective than individual methods.