• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.145-159
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• 2008

The purpose of this study is to identify the determinants of new venture performance in the view of integrated research framework and to investigate key determinants of superior and inferior ventures. We propose the integrated new ventures performance model which is composed of entrepreneur, organization/resources, industrial environment, strategy/foundation process and availability of supporting systems as corresponding variables to new ventures performance. The superior venture performance is affected mainly by entrepreneur's managerial ability and industry expertise, but the inferior by resources and management strategy. Though this study has limitation of small sample, limited questionnaire and performance measure, it has contribution of identifying key determinants of new venture performance with the integrated frame of study.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.3
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• pp.134-148
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• 2007

There is not enough knowledge on how to use, build, and apply ubiquitous technologies such as the ubiquitous sensor network, GIS, statistic analysis system, mobile GPS system etc. Also there are other questions such as, how should the knowledge information resources be managed and web decision making system developed for national park management. The purpose of this study is to propose a framework for the national park integrated management system based on ubiquitous information technology. This study will include followings: 1) this study explores what ubiquitous information technologies are needed for national park management, 2) this study proposes building strategies about the spatial and attribute database using ubiquitous information technologies, and links methods among geographic information system, analysis program, sensor network, etc. The results of this study will contribute towards deciding a direction for national park policy in preparation for the ubiquitous computing oriented society.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.65-85
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• 2002

In order to achieve competitive business goals, every enterprise needs to evaluate the current level of IS(information systems) performance and their utilization. The evaluation is to measure technical capacity and operational capability of enterprise information systems and to diagnose their effectiveness of business goals and efficiency of resources. Furthermore, organizations need to apply information technology(IT) proactively instead of reactively. However. it is usually very difficult for an enterprise to accumulate knowledge acquired during construction of the information systems and apply it to maintain and evaluate them. Also. most researches regarding evaluation are limited in some parts of evaluation fields, the most prominent being lack of the entire views and integrated relationships of enterprise activities. This dissertation develops an integrated evaluation system, which is based on the continuous improvement model of information systems performance. that effectively measures the level of enterprise information systems performance. enabling enterprises to achieve their goals of information systems and related business strategies. The contents of this work are composed of the continuous improvement model of information systems performance, an integrated evaluation system for IS performance and case study.

• Journal of the Korean Geographical Society
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• v.43 no.5
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• pp.761-774
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• 2008

Integration of GIS data and human expert knowledge into digital image processing has long been acknowledged as a necessity to improve remote sensing image analysis. We propose inductive machine learning algorithm for GIS data integration and rule-based classification method for land cover classification. Proposed method is tested with a land cover classification of a Landsat ETM+ multispectral image and GIS data layers including elevation, aspect, slope, distance to water bodies, distance to road network, and population density. Decision trees and production rules for land cover classification are generated by C5.0 inductive machine learning algorithm with 350 stratified random point samples. Production rules are used for land cover classification integrated with unsupervised ISODATA classification. Result shows that GIS data layers such as elevation, distance to water bodies and population density can be effectively integrated for rule-based image classification. Intuitive production rules generated by inductive machine learning are easy to understand. Proposed method demonstrates how various GIS data layers can be integrated with remotely sensed imagery in a framework of knowledge base construction to improve land cover classification.

• Korean Journal of Ecology and Environment
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• v.50 no.4
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• pp.478-482
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• 2017

In order to identify key nations and bird species of conservation concern we described multinational collaborations as defined using network analysis linked by birds that are found in all nations in the network. We used network analysis to assess the patterns in bird occurrence for 10,422 bird inventories from 244 countries and territories. Nations that are important in multinational collaborations for bird conservation were assessed using the centrality measures, closeness and betweenness centrality. Countries important for the multinational collaboration of bird conservation were examined based on their centrality measures, which included closeness and betweenness centralities. Comparatively, the co-occurrence network was divided into four groups that reveal different biogeographical structures. A group with higher closeness centrality included countries in southern Africa and had the potential to affect species in many other countries. Birds in countries in Asia, Australia and the South Pacific that are important to the cohesiveness of the global network had a higher score of betweenness centrality. Countries that had higher numbers of bird species and more extensively distributed bird species had higher centrality scores; in these countries, birds may act as excellent indicators of trends in the co-occurrence bird network. For effective bird conservation in the world, much stronger coordination among countries is required. Bird co-occurrence patterns can provide a suitable and powerful framework for understanding the complexity of co-occurrence patterns and consequences for multinational collaborations on bird conservation.

• Journal of Power Electronics
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• v.18 no.1
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• pp.225-233
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• 2018

This paper proposes a universal system control strategy for voltage source converter (VSC) based high voltage direct current (HVDC) systems. The framework of the designed control strategy consists of five layer structures considering the topology and control characteristics of the VSC-HVDC system. The control commands sent from the topmost layer can be transmitted to the next layer based on the existing communication system. When the commands are sent to each substation, the following transmission of commands between the four lower layers are realized using the internal communication system while ignoring the communication delay. This hierarchical control strategy can be easily applied to any VSC-HVDC system with any topology. Furthermore, an integrated controller for each converter is designed and implemented considering all of the possible operating states. The modular-designed integrated controller makes it quite easy to extend its operating states if necessary, and it is available for any kind of VSC. A detailed model of a VSC-HVDC system containing a DC hub is built in the PSCAD/EMTDC environment. Simulation results based on three operating conditions (the start-up process, the voltage margin control method and the master-slave control method) demonstrate the flexibility and validity of the proposed control strategy.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.26-36
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• 2019

Since more than 30 different information systems are collecting and providing construction related information, it is difficult for information users to figure out where and how to acquire the required information. Even if the user find the information, it is hard to meet users demand. Because the current systems accumulate the data just as administrative data and can do not connect the information from the different phases of the lifecycle for the specific facility. The information collected and managed in different information systems should be integrated in terms of lifecycle of the facility to improve money for value of public investment, the quality of life by improving quality of the facility and to provide the foundation for big data utilization in the construction industry. This paper suggested strategic planning for the development of the (assumed name) "The Lifecycle Integrated Construction Information Portal" as a foundation to use the data in construction industry, by investigating prerequisites and suggesting conceptual framework of the system.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.609-621
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• 2022

Purpose: Natural Disaster has well formed framework more than social disaster, because natural disaster is controlled by one department, such as MOIS, but social disaster is distributed. This study is on the design of the integrated service platform for the social diaster data. and then, apply to the local governments. Method: Firstly, we design DB templates for the incident cases considering the incident investigation reports. For the risk management, life-damage oriented social disaster risk assessment is defined. In case of the real-time incident data from NDMS, AI system provides the prediction information in the life damage and the cause of the incident. Result: We design the structured and unstructured incident data management system, and design the integrated social disaster and safety incident management system. Conclusion: The integrated social disaster and safety incident management system may be used in the local governments

• Journal of the Korea Society of Computer and Information
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• v.14 no.3
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• pp.217-226
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• 2009

In this paper, we analyze process of implementing and successful enabler of Postal Logistics Integrated Information Systems(PostNet) through a case study on Korea Post. PostNet was integrated by considering contingently organizational integration (organizational structure redesign), strategical integration (business process reengineering), and technical integration(data integration, application integration, and integrated platform implementation). And also integration was implemented for supporting three aspects. PostNet has implication for advanced integration with business mission and operational efficiency by comparing integration with physical level and hardware level. Korea Post has the biggest logistics network, organization, and service in logistics industry area. The results of this paper will suggest theoretical framework for the future information system integration, and will be utilized as a practical guideline for the information system integration.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.635-642
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• 2023

With the development of artificial intelligence technology, drones are evolving beyond simple remote control tools into intelligent drones that perform missions autonomously. The importance of drones is gradually gaining attention due to the use of drones in overseas military conflicts and the analysis of the future operational environment in Korea. AMAD is proposed for the rapid development of intelligent drones. In order to develop intelligent software based on AMAD, an integrated development environment (IDE) that supports users with functions such as debugging, performance evaluation, and monitoring is essential. In this paper, we define the concepts of the development environment required for intelligent software development and describe the results of reflecting them in the design of the IDE and AMAD's agents, SVI and MPD, which are interfaced with the IDE.