• Korean Architects
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• s.616
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• pp.44-49
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• 2020

• Journal of The Korean Digital Architecture Interior Association
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• v.8 no.1
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• pp.5-14
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• 2008

This study is the one of the step to propose the Design studio course that apply concept of 'BIM" that is new digital environment of Architecture. This Study propose as followed, First. The proposal of the experimental course of the Design studio, Second, Application of course of study, Third, The design course of study is proceeded by purpose of completion of BIM. This study is proceeded by the purpose of the concept of the BIM first and proposals of fundamental ideas that apply the idea. Proposed training courses are marked by that divide three areas of information - architecture information, environment information, drawing information - with process consisted in professional practice of design and adjust each process and sequence. Also, this study suggest process that applying BIM tools in this work as the basis frame.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.595-598
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• 2016

외국관광객의 신용카드 거래내역을 통해 지역별, 국적별, 업종별 소비 형태와 동향을 파악하고, 이에 따른 여러 이해관계자들의 전략을 수립하는데 필요한 정보를 제공한다.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1427-1434
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• 2017

Due to the acceleration of the 4th industrialization, the data around us rapidly increased. Therefore, it is necessary to be able to more easily grasp the nature and meaning of data obtained through data analysis than to collect data, and apply it flexibly to the value judgment of data. Visualization technology is now attracting attention in many fields. Visualization allows the user to more easily grasp the information of the data with graphs, charts, etc. so that the data analysis result can be understood more easily, so that the user can make an immediate judgment and make a quick decision. Among them, there is a high degree of interest in visualization using public data, which is highly useful to users. In this paper, we implemented R - library and R Studio to visualize public data at the installation sites of bicycle storage sites among various software that can express visualization.

• The Journal of Bigdata
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• v.5 no.2
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• pp.155-170
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• 2020

The purpose of this study was to apply machine learning techniques (Decision Tree, Random Forest, XGBoost) to data from the 4th~6th year of the Seoul Education Longitudinal Study to find the factors predicting the career maturity of middle school students in Seoul city. In order to evaluate the machine learning application result, the performance of the model according to the indicators was checked. In addition, the model was analyzed using the XGBoostExplainer package, and R and R Studio tools were used for this study. As a result, there was a slight difference in the ranking of variable importance by each model, but the rankings were high in 'Achievement goal awareness', 'Creativity', 'Self-concept', 'Relationship with parents and children', and 'Resilience'. In addition, using the XGBoostExplainer package, it was found that the factors that protect and deteriorate career maturity by panel and 'Achievement goal awareness' is the top priority factor for predicting career maturity. Based on the results of this study, it was suggested that a comparative study of machine learning and variable selection methods and a comparative study of each cohort of the Seoul Education Termination Study should be conducted.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2203-2205
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• 2003

KIRAMS-13, the first medical cyclotron developed by domestic technique, is used to produce radio-isotope such as $^{18}F$ whose life time is relatively short through test operation. For high-power operation of charged particle accelerators, the power coupler must withstand enormous stresses due to charging induced by high RF power passing through. High-power RF testing with peak power in excess of 30kW has been performed on prototype power coupler for KIRAMS-13 normal conducting cavities. CST MICROWAVE STUDIO(CST MWS) is used for fundamental RF Design, and power coupler is manufactured according to fundamental power coupler design requisite. The qualification of the couplers has occurred for the time being only in a limited set of conditions as the available RF system and control instrumentation are under improvement.

• Proceedings of the Polymer Society of Korea Conference
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• 2006.10a
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• pp.228-228
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• 2006

Conjugated oligomers, used as models for fluorene-thiophene copolymers, are compared in terms of the microscopic morphology of thin deposits and the optical properties. The AFM images and the solid-state absorption and emission spectra are interpreted in line with the structural data, in terms of the assembly of the conjugated molecules. The compound with a terthiophene central unit and fluorene end-groups shows well-defined monolayer-by-monolayer assembly into micrometer-long strip-like structures, with a crystalline herringbone-type organization within the monolayers. Polarized confocal microscopy indicates a strong orientation of the crystalline domains within the stripes. In contrast, the compound with a terfluorene central unit and thiophene end groups forms no textured aggregates. The difference in behavior between the two compounds most probably originates from their different capability of forming densely-packed assemblies of ${\pi-pi}$ interacting molecules. These assemblies are used as active elements in organic field effect transistors designed by using soft lithography technique.

• Journal of Korea Artificial Intelligence Association
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• v.1 no.1
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• pp.11-16
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• 2023

Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.

• Journal of IKEEE
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• v.22 no.2
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• pp.242-249
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• 2018

In this paper, we identify the code vulnerabilities that can be automatically detected through Visual Studio (VS) compiler and code analyzer based on a secure coding rule set which is optimized for development of battlefield information system. Then we describe a weak point item that can be dealt with at the implementation stage without depending on the understanding or ability of the individual programmer's secure coding through the implementation of the secure coding library. Using VS compiler and the code analyzer, the developers can detect only about 38% of security weaknesses. But with the help of the proposed secure coding library, about 48% of security weaknesses can be detected and prevented in the proactive diagnosis in the development stage.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.14 no.8
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• pp.855-862
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• 2003

This paper suggests the PIFA structure modified antenna in which short-circuit plate is located between planar element and ground plane, in order to solve the problem of narrow band of existing internal antenna, PIFA. It is also suggested that internal antenna has the perturbation in the patch to broaden the frequency bandwidth. It is possible that the antenna is installed into the mobile telephone with a low profile condition(h=0.015 λ) to use internally, and acquired desired bandwidth(5.2 %) through double resonance structure, remodeling the PIFA that is already well-known as an internal antenna. This paper investigated how characteristic is affected by the feeding point(Yf, Zf), short strip plate(Zs), short strip width(Ws), perturbation width(w), length(d), short plate height(h), dielectric($\varepsilon$$\_$r/) to be slim type antenna. It is compared with existing PIFA bandwidth, and is suggested pattern as the H.E plane. It is simulated using the Microwave Studio of the CST Inc. based on FIM(Finite Integration Method) method and analyzed antenna characteristic following the variation each parameters. The result proved the practical use of PIFA antenna by comparing the measured and simulated data of the antenna.