• 연구논문집
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• s.28
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• pp.239-246
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• 1998

Today’s information technology departments face a dilemma to create a competitive advantage for the organization by developing. deploying, and managing distributed applications that scale across the LAN, WAN, and Internet, while preserving investments in systems. Applications, information. IT organizations are today being asked to build the future, without breaking systems that maintain the current business. A possible answer to this dilemma is the implementation of a multi-tier distributed computing architecture. Multi-tier architecture has the potential to provide better, more timely information across the enterprise at a lower cost than the current combination of PC LAN, two-tier client/server, or mainframe applications that have been developed in most organizations. In this paper, we implement management information system based on distributed object middleware using multi-tier distributed computing architecture. This system uses Microsoft's implementation of DCOM/ActiveX and provides easily accessible web interface to the system users.

• Convergence Security Journal
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• v.7 no.4
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• pp.107-114
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• 2007

We need development methodology of security architecture which offered various levels of security management in case of the organization required more than two security certifications. In this study, therefore, development methodology of Multi-level Security Architecture(MLSA) proposed. Specifically, we should consider factors of commonness and difference between information security management level evaluation of multiple security architecture. This kinds of endeavor can suggest the direction of the improvement of the evaluating security management and the dynamic plan for the security architecture, and it will make the continuous and systematic security management.

• Genomics & Informatics
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• v.16 no.4
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• pp.17.1-17.6
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• 2018

Tumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. The application of single-cell sequencing, in concert with existing genomics methods, has enabled high-resolution interrogation of the genome, transcriptome, epigenome, and proteome. Applied to cancers, these single-cell multi-omics methods bypass previous limitations on data resolution and have enabled a more nuanced understanding of the evolutionary dynamics of tumor progression, immune evasion, metastasis, and treatment resistance. This review details the growing number of novel single-cell multi-omics methods applied to tumors and further discusses recent discoveries emerging from these approaches, especially in regard to immunotherapy.

• International Journal of High-Rise Buildings
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• v.8 no.1
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• pp.37-47
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• 2019

Facing the challenges of urban form and space quality in a high-density environment, the paper puts forward the development trend of three-dimensional and multi-functional design for an urban high-rise complex, and analyzes the design methods of establishing an urban landmark, including multi-functional composition, three-dimensional space integration, three-dimensional traffic organization and energy flow programming. Meanwhile, combined with the specific design case of Yiwu World Trade Center, the practical experience of designing a high-rise complex in China's medium-sized cities is analyzed.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.272-285
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• 2008

The number of Multi-cultural Background Adolescent increases every year. It is necessary to show their growing environment in which they are brought up. So this study tries to have a questionnaire research with 588 adolescents and an focus group-interview with 8 service professionals In conclusion, this study suggests developing supplemental programs, supporting systems such as the person participation in the step of the program planning, the community organization networking, professional placement, providing integration service and training program in a family unit.

• Journal of the Korean Society of Costume
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• v.54 no.3
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• pp.53-64
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• 2004

The study was done to provide domestic fashion multi-shops with basic information about the product and price strategies through an investigation the marketing strategies for domestic multi-shop dealt with imported product only. Data were collected from Interview with a buyer or a staff of marketing department of Domestic Fashion Multi-shop dealt with Imported Product only. Through the study, it was clarified that these multi-shops showed a tendency to compose of promising brands. brands set a high value on unique character or technique, and brands of promising designer noticed at the main collection. And they also extended their lines as a total life style shop dealt with accessory. shoes and home collection as well as clothing. Therefore, they had to analyze their target consumer's life style and applied this to organization of product, brands or sizing. To maintain the balance of multi-shop they bought products keeping the balance between all the brands and didn't lose variety of concept, it was demanded to develop new brands as well. Their distribution channels had to be planned by regional characteristic that could be accepted their target consumers.

• Korean Institute of Interior Design Journal
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• v.22 no.3
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• pp.174-182
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• 2013

The purpose of this research is to find applicable design characteristics of communal spaces in multi-family houses. With this goal, international multi-family housing projects are selected and their communal spaces are identified. The purpose of study lies in analyzing on recent 10 years trends of shared space of multi-family houses in Europe, Japan, central America. The design characteristics of the communal spaces are analyzed with a special focus on the four Aspects such as Organization of space, access roads, parking, pedestrian movement In terms of the framework for analysis, community, rest, separability, rambling, territory, distribution, entrance, openness, view, prospect and aesthetic characteristics are reviewed. As a result, the communal space of the analysis are integrated in plans and sections throughout the multi-family houses. Openness and connection with surrounding urban environments are articulated by communal spaces. Communal identities and aesthetics are emphasized by various space for dweller and the other inhabitant. For a further research, it is necessary to combine a design method study with new multi-family houses for the future.

• Journal of the Korean association of regional geographers
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• v.10 no.2
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• pp.252-266
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• 2004

This study analyzes the influence of the construction of a high-speed railroad on territorial organization in France. After development of a new transportation network, the French territorial organization has been largely modified. Many economic urban areas are modified by their position in the territorial hierarchy according to their condition of connection with the TGV network. At first, spatial convergence is the most important effect of the TGV network construction. Second, the development of a transportation network concentrated in the Paris area has influence as an intensified factor on metropolitan areas and as a weakening factor on middle- and small-sized cities. Thus, this system has risk in increasing territorial imbalance in France. Third, to implant an economic activity zone around new TGV stations, a new town or a new economic center starts to develop. This is going to grow into a second core outside of the old city center so that regional spatial organization is transformed from a mono-polarized(mono-centric) organization to a multi-polarized(polycentric) one. Lastly, the integration of the EU railroad system enhances the concentration of economic activity in European metropolitan areas as each metropolitan area tries to develop more competitive space for its rising position in the global urban hierarchical system.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1995.10a
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• pp.124-140
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• 1995

The merit of fuzzy rule based systems stems from their capability of encoding qualitative knowledge of experts into quantitative rules. Recent advancement in automatic tuning or self-organization of fuzzy rules from experimental data further enhances their power, allowing the integration of the top-down encoding of knowledge with the bottom-up learning of rules. In this paper, methods of self-organizing fuzzy rules and of performing defuzzification and inference is presented based on a multi-resolution radial basis function network. The network learns an arbitrary input-output mapping from sample distribution as the union of hyper-ellipsoidal clusters of various locations, sizes and shapes. The hyper-ellipsoidal clusters, representing fuzzy rules, are self-organized based of global competition in such a way as to ensute uniform mapping errors. The cooperative interpolation among the multiple clusters associated with a mapping allows the network to perform a bidirectional many-to-many mapping, representing a particular from of defuzzification. Finally, an inference engine is constructed for the network to search for an optimal chain of rules or situation transitions under the constraint of transition feasibilities imposed by the learned mapping. Applications of the proposed network to skill acquisition are shown.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.126-134
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• 2019

Nowadays, since there are so many big data available everywhere, those big data can be used to find useful information to improve design and operation by using various analysis methods such as data mining. Especially if we have event log data that has execution history data of an organization such as case_id, event_time, event (activity), performer, etc., then we can apply process mining to discover the main process model in the organization. Once we can find the main process from process mining, we can utilize it to improve current working environment. In this paper we developed a new method to find a final diagnosis of a patient, who needs several procedures (medical test and examination) to diagnose disease of the patient by using process mining approach. Some patients can be diagnosed by only one procedure, but there are certainly some patients who are very difficult to diagnose and need to take several procedures to find exact disease name. We used 2 million procedure log data and there are 397 thousands patients who took 2 and more procedures to find a final disease. These multi-procedure patients are not frequent case, but it is very critical to prevent wrong diagnosis. From those multi-procedure taken patients, 4 procedures were discovered to be a main process model in the hospital. Using this main process model, we can understand the sequence of procedures in the hospital and furthermore the relationship between diagnosis and corresponding procedures.