• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3590-3598
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• 2010

It is necessary to collect the coastal zone data, to prepare the objective analysis methods, and to build the scientific and technical support system for the efficient management of coastal zone in local aspect. This study analyzes the coastal zoning methods and the integrated methods of different kind data by case study of U.S.A coastal zone. The characteristics of coastal zone management methods in U.S.A are as follows; the concrete indices and methods of establishing coastal zone which can respond to the local values and land use, related data analysis methods for supporting spatial decision making, and establishment and administration of bureau for the spatial information construction and integration of coastal zone. This study suggest the technical implications which can build the domestic coastal zone management in local level on the basis of the common values of the coastal zoning methods and integrated methods of heterogeneous data in U.S.A.

• Genomics & Informatics
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• v.6 no.4
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• pp.231-234
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• 2008

Precise and reliable identification of CNV is still important to fully understand the effect of CNV on genetic diversity and background of complex diseases. SNP marker has been used frequently to detect CNVs, but the analysis of SNP chip data for identifying CNV has not been well established. We compared various normalization methods for CNV analysis and suggest optimal normalization procedure for reliable CNV call. Four normal Koreans and NA10851 HapMap male samples were genotyped using Affymetrix Genome-Wide Human SNP array 5.0. We evaluated the effect of median and quantile normalization to find the optimal normalization for CNV detection based on SNP array data. We also explored the effect of Robust Multichip Average (RMA) background correction for each normalization process. In total, the following 4 combinations of normalization were tried: 1) Median normalization without RMA background correction, 2) Quantile normalization without RMA background correction, 3) Median normalization with RMA background correction, and 4) Quantile normalization with RMA background correction. CNV was called using SW-ARRAY algorithm. We applied 4 different combinations of normalization and compared the effect using intensity ratio profile, box plot, and MA plot. When we applied median and quantile normalizations without RMA background correction, both methods showed similar normalization effect and the final CNV calls were also similar in terms of number and size. In both median and quantile normalizations, RMA backgroundcorrection resulted in widening the range of intensity ratio distribution, which may suggest that RMA background correction may help to detect more CNVs compared to no correction.

• ETRI Journal
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• v.9 no.4
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• pp.26-35
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• 1987

Switching system can be regarded as the key node of Integrated Services Digital Networks(ISDN) because it plays the Important role in realization of ISDN. As ISDN is evolved from the telephony Integrated Digital Network(IDN), the switching system for ISDN will be evolved from the function and structure of telephony digital switching system. At near future, ISDN switching system is expected to implement the integrated access and transparent switching functions for both voice and data. As final goals of switching system, advanced switching methods for information having various traffic characteristics such as voice, data, text and image should be considered. This paper considered. This paper will show some of the fundamental design challenges and architectural trends in ISDN switching system.

• Journal of Society of Preventive Korean Medicine
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• v.21 no.1
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• pp.107-119
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• 2017

Purpose : Recently, cancer has become a chronic disease that requires supervision because of early diagnosis and the development of therapeutic technology. As a result, cancer patients are interested in improving the quality of their lives besides the treatment of cancer itself. Therefore, it is necessary to conduct a qualitative research to understand the vivid experiences of cancer patients and structure their treatment experience. Among qualitative researches, grounded theory is developed based on the data collected in the field. The grounded theory research method is easy to analyze for the process and structure of the treatment experience. Therefore, the purpose of this study is to provide basic data on the integrated medical experience of cancer patients Methods : Participants were conveniently selected, and the criteria for selection were for those who had more than 1 month of hospitalization so that they could dictate their situation and experience in a meaningful manner. Data was collected through in-depth interviews and continued until the data were saturated through theoretical sensitivity and continuous comparison methods. The collected data were analyzed through the process of open-coding, axial coding, and selection coding, which are the research methods of grounded theory. Results : Cancer patients differ in their path, purpose, and attitudes depending on their respective situations and the internal and external resources of individuals. There is also a difference in the perception of their situation among the cancer patients and their families. Cancer patients were shown to recognize and cope with problems in the integrated medical treatment process, and have been classified into 6 different types after the results. Cancer patients showed positive changes in terms of physical, emotional, and lifestyle after their integrated medical treatment. Cancer patients perceived the integrated medical treatment process as a horizontal relationship structure and with diversity. Conclusions : The experience of integrated medical treatment of cancer patients is a process of rehabilitation that heals the body and restores life within the interaction of support system, contextual situation, and internal resources of the individual. Despite this, there is a need not only for the efforts of integrated medical service providers but also institutional support in the future with regards to the current weaknesses and points for improvement. In addition, there is a need for an objective criterion to measure the outcome of integrated medicine for the standardization of integrated medical services.

• Journal of Applied Reliability
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• v.17 no.4
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• pp.296-304
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• 2017

Purpose: Recent weapon systems in defense have increased the complexity and importance of software when developing multifunctional equipment. In this study, we analyze the accuracy of the proposed software reliability model when applied to weapon systems. Methods: Determine the similarity between software reliability analysis results (prediction/estimation) utilizing data from developing weapon systems and system failures data during operation of weapon systems. Results: In case of a software reliability prediction model, the predicted failure rate was higher than the actual failure rate, and the estimation model was consistent with actual failure history data. Conclusion: The software prediction model needs to adjust the variables that are appropriate for the domestic weapon system environment. As the reliability of software is increasingly important in the defense industry, continuous efforts are needed to ensure accurate reliability analysis in the development of weapon systems.

• KIEAE Journal
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• v.16 no.5
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• pp.21-28
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• 2016

Purpose: The Objective of this study is to explore the capabilities of an integrated modelling and simulation workflow when applied to an experiment-based research process, aimed at deriving daylight optimization strategies specific to tall buildings. Methods: Two methods were devised to apply this workflow with the help of DIVA and Rhino/Grasshopper. The first method is a multiple variant analysis by setting up an appropriate base case and analysing its daylight and energy performance, forming the basis of comparison for subsequent cases for design variants. The second method involved setting up the base case within a site context and conducting a solar irradiation study. An architectural variables such as overhang and shading device, were then defined as inputs in the parametric definition in Grasshopper to control the selected variable. Results: While the first method took advantage of the speed and efficiency of the integrated workflow, the second method was derived based on the ability to directly process simulation data within the integrated, single-software platform of the proposed workflow. Through these methods, different architectural strategies were explored, both to increase daylight penetration and to reduce radiant heat gain. The focus is on methods by which this workflow can be applied to facilitate the experimental derivation of daylight optimization strategies that are specific to tall building design.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.18 no.2
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• pp.143-155
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• 2000

With the increasing needs for the integrated use of topographic and cadastral data in order to build an efficient geo-spatial information system. it is urgently necessary to research into its solution. The intention of this study is to detect error types of data and to propose adjustment methods for solving the problems caused by integrating topographic and cadastral data. For this purpose a primary integrated data model is created to link attribute data(land management system) and graphic data within cadastral information in the first step. In next, a secondary integrated data model based on the improved method is formed to coincide the graphic data of cadastral map with that of topographic map. At the first, because a numerous error types md sources caused by separate management of graphic and attribute data are easily checked, it is possible to suggest an improved method to correct these errors using the primary integrated data model. In addition, the accuracy in position and area with coordinate transformation method based on multi-block adjustment is more efficient than rubber-sheeting method. As a result, the secondary integrated data model could be built by harmonizing cadastral map with topographic map using the improved solution.

• Korean Management Science Review
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• v.19 no.1
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• pp.129-142
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• 2002

Data fusion Is a technique used for creating an Integrated database by combining two or more databases that include a different set of variables or attributes. This paper attempts to apply data fusion technique to customer relationships management (CRM), in that we can not only plan a database structure but also collect and manage customer data In a more efficient way In particular our study Is useful when no s1n91e database Is complete, i.e., each and every subject in the pre-integrated database contains somewhat missing observations. According to the way of treating the common variables, donors can be differently selected for the substitution of the missing attributes of recipients. One way is to find the donor that has the highest correlation coefficient with the recipient by. treating common variables metrically The other is based on the closest distance by the correspondence analysis in case of treating common variables nominally. The predictability of data fusion for CRM can be evaluated by measuring the correlation of the original database and the substituted one. A Monte Carlo Simulation analysis is used to examine the stability of the two substitution methods in building an integrated database.

• KSBB Journal
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• v.16 no.6
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• pp.538-546
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• 2001

An integrated data analysis program for DNA chip containing normalization, FDM analysis, various kinds of clustering methods, PCA, and SVD was applied to analyze combined yeast cell cycle data. This paper includes both comparisons of some clustering algorithms such as K-means, SOM and furry c-means and their results. For further analysis, clustering results from the integrated analysis program was used for function assignments to each cluster and for motif analysis. These results show an integrated analysis view on DNA chip data.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.3
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• pp.242-250
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• 2003

We propose the monitoring system scheme for the CPS/INS integrated navigation system. The design requirements of the monitoring system are suggested and the software scheme based on GUI is proposed. The proposed monitoring system consists of an I/O interface part, a navigation data display part, and a post-processing part. The I/O interface part is responsible for data communication between the monitoring system and a navigation computer unit. The navigation data display part provides various display methods to show the navigation data to user in real-time. The post-processing part collects the navigation data to analyze the performance of navigation system. The proposed monitoring system software was developed using the Visual C++ programming language and a van test was carried out to demonstrate the real-time operation of the monitoring system. The test result shows that the proposed monitoring system can be effectively applied to the CPS/INS integrated navigation system.