• Journal of the Korean Recycled Construction Resources Institute
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• v.6 no.2
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• pp.100-107
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• 2018

The material and geometrical nonlinear finite elment analysis of UHPFRC 50M composite box girder was carried out. Constitute law in tension and compressive region of UHPFRC and HPC were modeled based on specimen test. The accuracy of nonlinear FEM analysis was verified by the experimental result of UHPFRC 50M composite girder. The UHPFRC 50M segmental composite box girder which has 1.5% steel fiber of volume fraction, 135MPa compressive strength and 18MPa tensile strength was tested. The post-tensioned UHPFRC composite girder consisted of three segment UHPFRC U-girder and High Strength Concrete reinforced slab. The parts of UHPFRC girder were modeled by 8nodes hexahedron elements and reinforcement bars and tendons were built by 2nodes linear elements by Midas FEA software. The constitutive laws of concrete materials were selected Multi-linear model both of tension and compression function under total strain crack model, which was included in classifying of smeared crack model. The nonlinearity of reinforcement elements and tendon was simulated by Von Mises criteria. The nonlinear static analysis was applied by incremental-iteration method with convergence criteria of Newton-Raphson. The validation of numerical analysis was verified by comparison with experimental result and numerical analysis result of load-deflection response, neutral axis coordinate change, and cracking pattern of girder. The load-deflection response was fitted very well with comparison to the experimental result. The finite element analysis is seen to satisfactorily predict flexural behavioral responses of post-tensioned, reinforced UHPFRC composite box girder.

• Korean Journal of Construction Engineering and Management
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• v.18 no.6
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• pp.78-88
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• 2017

With the growing use of BIM in the AEC industry, various new applications are being developed to meet these specific needs. Such developments have increased the importance of Industry Foundation Classes, which is the international standard for sharing BIM data and thus ensuring interoperability. However, mapping individual BIM objects to IFC entities is still a manual task, and is a main cause for errors or omissions during data transfers. This research focused on addressing this issue by applying novelty detection, which is a technique for detecting anomalies in data. By training the algorithm to learn the geometry of IFC entities, misclassifications (i.e., outliers) can be detected automatically. Two IFC classes (ifcWall, ifcDoor) were trained using objects from three BIM models. The results showed that the algorithm was able to correctly identify 141 of 160 outliers. Novelty detection is thus suggested as a competent solution to resolve the mapping issue, mainly due to its ability to create multiple inlier boundaries and ex ante training of element geometry.

• International Commerce and Information Review
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• v.15 no.2
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• pp.129-162
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• 2013

The purpose of this work is to explore the role of international entrepreneurship(IE) in explaining internationalization process of Korean ventures and to structure the model of IE with the logics of effectuation. The internationalization of entrepreneurial company is regarded as the realization of entrepreneurship which find out and use opportunities across borders in this point of view, and the realization process gets more realistic and applicable to the internationalization of ventures by effectuation. So we constructed the new concepts of the generating-internationalization-outcome capability(GIOC), which is the effectual capability allowing ventures to go international despite their lack of internal resources and experiences. Its sub-capabilities of GIOC are extemporaneous coping capability, perform-resource-in-hand capability and network-use capability. The empirical analyses of the relations among the capabilities and the performances of internationalization are performed in order to prove the rationale of the model, which provides finally significant evidences of the relationships. The key contribution of this study is that it highlights the important role of IE in internationalization of ventures and shows the possible role of effectuation in explaining the realization process of IE.

• Spatial Information Research
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• v.15 no.2
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• pp.111-121
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• 2007

The GPS positioning offer 3D position using code and carrier phase measurements, but the user can obtain the precise accuracy positioning using carrier phase in Real Time Kinematic(RTK). The main problem, which RTK have to overcome, is the necessary to have a reference station(RS) when using RTK should be generally no more than 10km on average, which is significantly different from DGPS, where distances to RS can exceed several hundred kilometers. The accuracy of today's RTK is limited by the distance dependent errors from orbit, ionosphere and troposphere as well as station dependent influences like multipath and antenna phase center variations. For these reasons, the author proposes Network based GPS Carrier Phase Differential Positioning using Multiple RS which is detached from user receiver about 30km. An important part of the proposed system is algorithm and software development, named DAUNet. The main process is corrections computation, corrections interpolation and searching for the integer ambiguity. Corrections computation of satellite by satellite and epoch by epoch at each reference station are calculated by a Functional model and Stochastic model based on a linear combination algorithm and corrections interpolation at user receiver are used by area correction parameters. As results, the users can obtain the cm-level positioning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.806-816
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• 2017

This study aims to offer effective policies for managing local temperatures and reducing the heat island effect by identifying elements that affect local temperatures. The three elements of natural environment, land use, and land coverage were first selected, and then control factors were applied, including season, weather, and measurement units for wind speed. In order to analyze these factors' relations to summer temperatures, an integrated model was developed, and an analysis was conducted of the urban heat island reduction effect of elements impacting local temperatures. The analysis used nationwide weather system (AWS) data from July and August 2007 and 2011-2016, land coverage data provided by the Ministry of Environment, and land use area data from local governments after rearranging them based upon their falling within a 500-meter radius ($0.79km^2$) of AWS measuring points. The study results show that the natural environment, land use, and land coverage all have a relation to changes in local temperatures. Natural elements have the greatest impact, and land use has the lowest. The results could provide basic data for establishing more effective policies to mitigate the heat island effect and strategies for enhancing the sustainability of cities.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.7-14
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• 2010

In this paper, we introduce a hierarchical internet application traffic classification system based on SVM as an alternative overcoming the uppermost limit of the conventional methodology which is using the port number or payload information. After selecting an optimal attribute subset of the bidirectional traffic flow data collected from the campus, the proposed system classifies the internet application traffic hierarchically. The system is composed of three layers: the first layer quickly determines P2P traffic and non-P2P traffic using a SVM, the second layer classifies P2P traffics into file-sharing, messenger, and TV, based on three SVDDs. The third layer makes specific classification of the entire 16 application traffics. By classifying the internet application traffic finely or coarsely, the proposed system can guarantee an efficient system resource management, a stable network environment, a seamless bandwidth, and an appropriate QoS. Also, even a new application traffic is added, it is possible to have a system incremental updating and scalability by training only a new SVDD without retraining the whole system. We validate the performance of our approach with computer experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.96-107
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• 2020

This study aimed to identify the associated factors of protective behaviors for radiation exposure among some radiology technologists using the Health Belief Model. The subjects of the study were 541 radiology technologists working at hospitals or clinics in Honam Province. Using the SPSS version 18.0 program, data were analyzed using a t-test, ANOVA, Pearson's correlation analysis, and hierarchical multiple logistic regression analysis. To modify the factors, the performance of subjects who had a higher level of education and nuclear medicine rooms were higher than those who worked in simple radiography rooms. The radiation protective behaviors performance of the subjects who had more exercise, medium-level stress, and worked in higher-quality protection facilities was higher. Regarding the personal perceptions, the cues to action (β=.292, p=.0001), and perceived seriousness (β =.075, p=.010) were factors that had effects on the performance of radiation protection behaviors. Regarding the likelihood of action, the benefits (β=.168, p<.0001), self-efficacy (β=.148, p=.007), and the performance of protective behaviors were higher. In conclusion, protection education as a cue to action should be provided to stimulate protective behaviors, and the benefits of protective behaviors should be emphasized. To increase the performance of protection behaviors, self-efficacy should be enhanced, and the subjects are offered appropriate information that helps perceive seriousness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.158-167
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• 2017

This paper presents the technology rating methodology that is applicable to defense R&D technology. First, a technology profitability index was developed using multiple regression analysis to forecast the revenue from technology transfer. Secondly, the technology evaluation index was derived using hierarchical analysis with expert opinion. Finally, the weighted average of the technology profitability index and technology evaluation index were calculated to derive the technology rating. This study is significant in that it is first attempt to evaluate defense R&D technology by rating. If the defense R&D technology rating methodology is applied in practice, it can contribute to efficient R&D budget allocation. In addition, it will help in the vitalization of technology transfer in the defense R&D sector.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.11a
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• pp.230-230
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• 2007

전력선 통신(Power Line Communication)은 최근 전력선을 이용한 통신기술의 발달과 더불어 세계적으로 관심도가 높아지고 연구 개발 및 자본 투자가 활발히 진행되고 있으며, 안정적인 네트워크를 구성하기 위해서는 고주파 전력선 통신 신호를 차단하는 블로킹 필터가 반드시 적용되어야 한다. 전력선 통신용 블로킹 필터는 광대역의 주파수 특성과 높은 신호감쇄 특성 및 대전류 특성이 요구되며, 이러한 특성을 구현하기 위해서는 블로킹 필터의 핵심부품인 자심재료의 고투자율 및 대전류화가 이루어져야 한다. 따라서 본 연구에서는 우수한 전 자기적 특성이 균일하게 유지되고, 전력선에 흐르는 대전류에 의한 자심재료의 포화가 발생하지 않도륵 새로운 자심 재료를 설계하여, 전력선 통신을 적용한 홈 네트워크 구축의 핵심 부품인 광대역 블로킹 필터를 개발하고자 하였다. 2350과 0.3 T의 투자율과 포화자속 밀도를 갖는 EI 형상의 자심재료를 해석모델로 설정하고 다중 에어 갭의 위치에 따른 전류와 자속밀도 변화를 유한요소 해석법으로 분석한 결과 자심재료의 대전류 특성에 지배적인 영향을 미치는 에어 캡의 삽입 위치를 알 수 있었고, 새로운 해석 모델인 I 형상의 로드(ROD) 코어에 대해 수치해석을 수행하여, 100A의 통전 전류에서도 자기적으로 포화되지 않고 인덕턴스의 정밀 제어가 가능하고, 특성의 신뢰성과 대전류에 대한 안정성을 증가시킬 수 있는 인덕터를 설계하였다. 또한 수동소자를 이용한 LC 공진회로를 기본 구성으로 하고, 주파수 대역, 신호 감쇄율과 대전류 특성, 상용화를 고려하여 블로킹 필터 회로를 설계하였으며, 유한요소해석법을 적용한 전자장 모의해석을 통하여 최소의 크기를 갖는 I 형상의 자심재료에 $6{\Phi}$의 에나멜 동선을 6.5턴, 6턴 권선하여 2.5, $2.15\;{\mu}H$의 인덕턴스를 갖는 직렬 인덕터를 구현하였고 블로킹 필터를 구성하였다. 주파수에 따른 신호감쇄 특성을 5 Hz~1 MHz의 주파수 범위에서 측정한 결과 약 490 kHz~450 kHz의 주파수 대역에서 -70dB의 신호감쇄 특성을 나타냈다. 본 연구를 통해 개발된 100A급 광대역 블로킹 필터가 적용되어 상용화 될 수 있을 것으로 판단되며, 또한 모뎀 통신 주파수 대역에서 -70dB 이상의 높은 감쇄 특성을 갖기 때문에 신호차단 특성이 보다 우수할 것으로 사료된다.

• Journal of The Korean Society of Grassland and Forage Science
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• v.41 no.1
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• pp.56-61
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• 2021

This study was conducted to determine the possibility of estimating the daily mean temperature for a specific location based on the climatic data collected from the nearby Automated Synoptic Observing System (ASOS) and Automated Weather System(AWS) to improve the accuracy of the climate data in forage yield prediction model. To perform this study, the annual mean temperature and monthly mean temperature were checked for normality, correlation with location information (Longitude, Latitude, and Altitude) and multiple regression analysis, respectively. The altitude was found to have a continuous effect on the annual mean temperature and the monthly mean temperature, while the latitude was found to have an effect on the monthly mean temperature excluding June. Longitude affected monthly mean temperature in June, July, August, September, October, and November. Based on the above results and years of experience with climate-related research, the daily mean temperature estimation was determined to be possible using longitude, latitude, and altitude. In this study, it is possible to estimate the daily mean temperature using climate data from all over the country, but in order to improve the accuracy of daily mean temperature, climatic data needs to applied to each city and province.