• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.361-362
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• 2020

내연기관을 이용한 이동 수단의 환경 오염에 미치는 영향이 부각 되면서, 전기 자전거 및 전기 보드와 같이 소형 전기 자동차로 분류되는 E-Mobility에 대한 관심이 증대되고 있다. 하지만, 대중화되어 있는 EV 충전소와 달리, E-Mobile 충전 시스템은 공급이 부족한 실정이다. 따라서, 본 논문에서는 다양한 사양의 충전전압 요건을 충족하는 충전 시스템을 제안한다. 높은 범용성을 갖추기 위해 멀티 레벨 충전 시스템을 설계한다. 또한, 제안하는 충전 시스템의 PSIM 시뮬레이션 및 프로토타입을 제작하여 타당성을 검증한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.6
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• pp.143-153
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• 2019

This study This study analyzed the effectiveness of Corporate Entrepreneurship, using Human Capital Corporate Panel (HCCP) data from 2017. The attitude of workers, which is main link in the process of corporate entrepreneurship, has been studied at a singular level at individual and organizational levels due to the lack of data and analysis methods. Multi-level analysis using hierarchical and linear modeling was performed to improve the accuracy of the relationship estimation between variables. In addition, this study examined the moderating effect of the organizational level in the process of entrepreneurship. As a result, corporate entrepreneurship has had a positive effect on job satisfaction and turnover, which is due to the employees attitude and organization. Organizational trust in the process has been shown to perform an important role in the relationship between the corporate entrepreneurship and job satisfaction, and that the relationship between the corporate entrepreneurship and turnover has not been controlled. Based on these results, the implications, limitations, and future research tasks of the study are discussed.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.4
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• pp.367-385
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• 2021

This study examined changes in the energy landscape, focusing on the photovoltaic module carbon certification system. As the global photovoltaic market has been reorganized around Chinese companies, the South Korean government has pushed to strengthen the competitiveness of the nation's photovoltaic industry. However, a limitation remains in that the government-led effort was not sufficient to bring about dynamic changes in the energy landscape. Against this backdrop, this study explored the stages leading to the multi-level perspectives of "macro-environment, socio-technical regime, and niche" to track the process of the government and domestic photovoltaic companies as part of a socio-technical regime responding to global market changes. In particular, this study raised an issue with the conceptual discussion of multi-level perspective, which placed a particular emphasis on the rate of change at each level and the niche in which innovative experiments take place, and thus attempted to fill this gap by tracking the energy landscape that varies differently from space. These spatial discussions can track different carbon emissions coefficients and industrial characteristics for each country, and have a higher level of explanatory power for the system thus constructed. In addition, through discussions on the problems and implications of the government-led introduction of renewable energy policies, this study suggests the need to create and implement a field-oriented system.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.11
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• pp.83-88
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• 2008

In this paper, a new scheduling method considering bit-level delays for high-level synthesis is proposed. Conventional bit-level delay calculation for high-level synthesis was usually limited for specific resources. However, we have developed an efficient bit-level delay calculation method which is applicable to various resources, in this research. This method is applied to scheduling. The scheduling algorithm is based on list scheduling and executes chaining considering bit-level delays. Furthermore, multi-cycle chaining can be allowed to improve performance under resource constraints. Experimental results on several well-known DSP examples show that our method improves the performance of the results by 14.7% on the average.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.11
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• pp.637-642
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• 2000

IEEE 1149.1 boundary scan architecture is used as a standard in board-level system testing. The simplicity of this architecture is an advantage in system testing, but at the same time, it it makes a limitation of applications. Because of several problems such as 3-state net conflicts, or ambiguity issues, interconnect testing for multi-drop multi-board systems is more difficult than that of single board systems. A new approach using IEEE 1149.1 boundary scan architecture for multi-drop multi-board systems is developed in this paper. Adding boundary scan cells on backplane bus lines, each board has a complete scan-chain for interconnect test. This new scan-path insertion method on backplane bus using limited 1149.1 test bus less area overhead and mord efficient than previous approaches.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.176-190
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• 2018

This paper presents a novel convolutional neural network based multi-feature fusion learning method for non-rigid 3D model retrieval, which can investigate the useful discriminative information of the heat kernel signature (HKS) descriptor and the wave kernel signature (WKS) descriptor. At first, we compute the 2D shape distributions of the two kinds of descriptors to represent the 3D model and use them as the input to the networks. Then we construct two convolutional neural networks for the HKS distribution and the WKS distribution separately, and use the multi-feature fusion layer to connect them. The fusion layer not only can exploit more discriminative characteristics of the two descriptors, but also can complement the correlated information between the two kinds of descriptors. Furthermore, to further improve the performance of the description ability, the cross-connected layer is built to combine the low-level features with high-level features. Extensive experiments have validated the effectiveness of the designed multi-feature fusion learning method.

• Nuclear Engineering and Technology
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• v.53 no.2
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• pp.386-392
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• 2021

MACCS (MELCOR Accident Consequence Code System), WinMACCS, and MelMACCS now facilitate a multi-unit consequence analysis. MACCS evaluates the consequences of an atmospheric release of radioactive gases and aerosols into the atmosphere and is most commonly used to perform probabilistic safety assessments (PSAs) and related consequence analyses for nuclear power plants (NPPs). WinMACCS is a user-friendly preprocessor for MACCS. MelMACCS extracts source-term information from a MELCOR plot file. The current development can combine an arbitrary number of source terms, representing simultaneous releases from a multi-unit facility, into a single consequence analysis. The development supports different release signatures, fission product inventories, and accident initiation times for each unit. The treatment is completely general except that the model is currently limited to collocated units. A major practical consideration for performing a multi-unit PSA is that a comprehensive treatment for more than two units may involve an intractable number of combinations of source terms. This paper proposes and evaluates an approach for reducing the number of calculations to be tractable, even for sites with eight or ten units. The approximation error introduced by the approach is acceptable and is considerably less than other errors and uncertainties inherent in a Level 3 PSA.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.29-38
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• 2012

This study conducted a survey 185 adolescents in multi-cultural family to measure the level of their social capital and their acculturation stress and examined how it affects them to adapt to school. Followings are the main results of this study. First, after measuring the social capital level of those surveyed, their average was lower than the normal level, showing 2.24(SD=.32), and their acculturation stress showed 2.54(SD=.58), a bit higher than the normal level. Second, their level of adapting to school showed 2.26(SD=.39), which was lower than the normal level, and there was statistically a meaningful difference between the groups depending on their grade, academic level, economic level, parents' marital status, mother's Korean ability. Third, the factors that affected in adapting to school were in the order of their network of social capital(${\beta}$=.225), mother's Korean ability(${\beta}$=.195), acculturation stress(${\beta}$=-.175), interpersonal trust of social capital(${\beta}$=.171), norm of social capital(${\beta}$=.161), parents' marital status(${\beta}$=.156), academic level(${\beta}$=.151), economic level(${\beta}$=.145). Based on these results, this study suggest ways to promote trust building among people and network formation through active use of information communication, and to improve multi-cultural acceptability by developing and using various contents.

• Proceedings of the KSME Conference
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• 2007.05b
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• pp.2444-2448
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• 2007

The multi channel of DDI which is the core part of the LCD-TV has been propelled. When multi channel in DDI is introduced, it brings a thermal problem because of the increased power. To solve the thermal problem of the DDI it needs to be investigated each at the package level and module level. It is important to extract the junction temperature(Tj) of DDI clearly from the system level. The objective of this research is to construct a compact model. The compact model is to reduce LCD module including DDI. When the compact model is used, it will be able to easily handle the boundary condition and accurately predict the temperature. Consequently, the temperature of DDI can be calculated easily at the system level. Through this research,we also proposed the cooling plan of DDI for a protection of overheating. The cooling plan was utilized in DDI design.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.356-361
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• 2008

Eigenvalue reduction schemes approximate the lower eigenmodes that represent the global behavior of the structures. In the previous study, we proposed a two-level condensation scheme (TLCS) for the construction of a reduced system. And we have improved previous TLCS with combination of the iterated improved reduced system method (IIRS) to increase accuracy of the higher modes intermediate range. In this study, we apply previous improved TLCS to multi-level sub-structuring scheme. In the first step, the global system is recursively partitioned into a hierarchy of sub-domain. In second step, each uncoupled sub-domain is condensed by the improved TLCS. After assembly process of each reduced sub-eigenvalue problem, eigen-solution is calculated by Lanczos method (ARPACK). Finally, Numerical examples demonstrate performance of proposed method.