• Journal of Korea Society of Industrial Information Systems
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• v.12 no.2
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• pp.68-78
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• 2007

D-class is defined as a set of equivalent $n{\times}n$ boolean matrices according to a given equivalence relation. The D-class computation requires the multiplication of three boolean matrices for each of all possible triples of $n{\times}n$ boolean matrices. However, almost all the researches on boolean matrices focused on the efficient multiplication of only two boolean matrices and a few researches have recently been shown to deal with the multiplication of all boolean matrices. The paper suggests a mathematical theory that enables the efficient multiplication for all possible boolean matrix triples and the efficient computation of all D-classes, and discusses algorithms designed with the theory and their execution results.

• Proceedings of the KIEE Conference
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• 2008.10c
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• pp.174-176
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• 2008

HYOSUNG manufactured and tested 1kw class PEFC systems to generate electrical and thermal energy for each residential usage. In particular, HYOSUNG developed Power conditioning system that performs about 91% electrical conversion ratio specified in 1kW class PEFC systems. Prior to system integration, we tested each performances of components to derive control issues from it. In addition, we have been developing the adequate simulator to describe and predict system performance. In this paper, we verified HYOSUNG's 1kW class PEFC systems are valid for residential energy sureces by testing the characteristics of systems and performances of main component.

• Journal of Korea Multimedia Society
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• v.21 no.9
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• pp.1068-1075
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• 2018

We propose a method for driving loudspeakers from class D audio power amplifiers in current mode, instead of in conventional voltage mode, which was impossible with the feedback circuitry. Unlike analog audio amplifiers, Class D audio power amplifiers have signal delay between the input and output signals, which makes it difficult to apply the feedback circuitry for current-mode driving. The idea of the pre-distortion scheme used for the compensation of the non-linearity of RF power amplifiers is adapted to remedy the impedance variation effect of the loudspeakers for current driving. The method uses the speaker model for the pre-distorter to compensate for the speaker impedance variation with frequency. The simulation and test results confirms the validity of the proposed method.

• 한국벤처창업학회:학술대회논문집
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• 2020.06a
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• pp.203-210
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• 2020

본 연구에서는 대표적인 국내 중소·중견기업 육성사업인 "World Class 300 프로젝트" 수혜기업을 대상으로 R&D 지원사업의 성과를 측정하고자 한다. 특히, 수혜기업을 산업군(소재·부품·장비·모듈·소비재 기업)별로 세분화해 R&D 지원사업이 산업군별 특성에 따라 어떻게 차별화되는지에 대해 실증분석하였다. 분석은 2011년부터 2017년까지 World Class 300 프로젝트에 선정된 총 272개 기업을 대상으로 수행되었으며, 패널회귀 방법론을 통해 얻은 분석결과는 R&D 지원이 산업군에 따라 기업의 성과(당기순이익)에 상이한 영향을 미치는 것으로 확인되었다. 소재, 부품, 장비 기업 표본에서는 성과에 통계적으로 유의한 영향을 미치지 못했고, 모듈 기업 표본에서는 성과에 부정적인 관계가 있는 것으로 나타났으나, 소비재 기업 표본에서는 성과에 긍정적인 영향을 미친 것으로 분석되었다. 본 연구는 향후 R&D 지원효과를 극대화하기 위해서는 산업군별 특성에 맞는 차별화된 지원정책의 기획·집행이 필요하다는 점에서 기존 연구들과의 차별성을 확보할 수 있다.

• Journal of Korea Multimedia Society
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• v.17 no.12
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• pp.1446-1452
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• 2014

Existing LDA uses the transform matrix that maximizes distance between classes. So we have to convert from an image to one-dimensional vector as training vector. However, in 2D-LDA, we can directly use two-dimensional image itself as training matrix, so that the classification performance can be enhanced about 20% comparing LDA, since the training matrix preserves the spatial information of two-dimensional image. However 2D-LDA uses same calculation schema for transformation matrix and therefore both LDA and 2D-LDA has the heteroscedastic problem which means that the class classification cannot obtain beneficial information of spatial distances of class clusters since LDA uses only data correlation-based covariance matrix of the training data without any reference to distances between classes. In this paper, we propose a new method to apply training matrix of 2D-LDA by using WPS-LDA idea that calculates the reciprocal of distance between classes and apply this weight to between class scatter matrix. The experimental result shows that the discriminating power of proposed 2D-LDA with weighted between class scatter has been improved up to 2% than original 2D-LDA. This method has good performance, especially when the distance between two classes is very close and the dimension of projection axis is low.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.4
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• pp.31-37
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• 2010

In this paper, highly efficient dual-band class-F power amplifiers(PAs) for cellular and WLAN bands are suggested and implemented. For the first step, single-band class-F amplifiers at 840MHz, 2.4GHz are designed using commercial E-pHEMT FETs. The performance of two single band PAs are as much as 81.2% of efficiency with the output power of 24.4dBm with 840MHz PA and 93.5% of efficiency with 22.4dBm from the 2.4GHz. For the dual-band class-F PA, the harmonic controlling circuit with ideal SPDT switch was suggested. The length of transmission line is variable by a SPDT switch. As a results, the operation in 840MHz showed the peak efficiency of 60.5% with 23.5dBm, while in 2.4GHz mode the efficiency was 50.9% with the output power of 19.62dBm. Besides, it is shown that the harmonic controller of class-F above 2Ghz could be implemented on the low cost FR-4 substrate.

• Bulletin of the Korean Mathematical Society
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• v.38 no.2
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• pp.389-398
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• 2001

Let D be a Dedekind domain with divisor class group Cl(D). We show that there is a correspondence between the set of splitting multiplicative subsets in D and certain subgroups of Cl(D).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2924-2932
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• 2015

This study is for estimate the amount of water supplied data to get a database for economic plan of water supply system by survey for the amount of water supplied of primary, middle and highschool. For this, 54 of primary school, middle school, high school in 6 cities of Kangwon for 5 years. As a result, average of the amount of water supplied per month is $600.7m^3/mon$ and primary, middle schools are $484.2m^3/mon$ and high schools are $833.8m^3/mon$. Average of the amount of water supplied per class is $27.0m^3/mon/class$ and primary, middle schools are $24.4m^3/mon/class$ and high schools are $32m^3/mon/class$. Average of the amount of water supplied per person per day is 55.8l/c/d and primary school, middle schools are 54.4l/c/d and high schools are 58.6l/c/d.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.203-212
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• 2017

Under uncertain environments it is necessary for world-class technological capacity to obtain for making the important role in a national development and industrial infrastructure. For strengthening technological capacity based on R&D excellence we have an exploratory study on the cases of excellent technology and excellent organization of public R&D institutes. What consistently revealed in the whole cases of public R&D institutes is to obtain the technological capacity in the world-class level and we could verify it in the cases of global leading technology, flagship project, world innovative technology, world class laboratory, global top group and so on. For enhancing the technological capacity of R&D objects we could consider prospecting sustainedly for the technological capacity of the organizations in order to appear the excellent technological performance, industrializing it as a R&D program or a new growth engine, and forming the organizational consensus of recognizing its technology or organization they selected as the world-class level.

• Journal of Korea Multimedia Society
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• v.22 no.6
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• pp.655-664
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• 2019

In this paper, we propose a novel way of combining multiple deep convolutional neural network (DCNN) architectures which work well for accurate video face identification by adopting a serial combination of 3D and 2D DCNNs. The proposed method first divides an input video sequence (to be recognized) into a number of sub-video sequences. The resulting sub-video sequences are used as input to the 3D DCNN so as to obtain the class-confidence scores for a given input video sequence by considering both temporal and spatial face feature characteristics of input video sequence. The class-confidence scores obtained from corresponding sub-video sequences is combined by forming our proposed class-confidence matrix. The resulting class-confidence matrix is then used as an input for learning 2D DCNN learning which is serially linked to 3D DCNN. Finally, fine-tuned, serially combined DCNN framework is applied for recognizing the identity present in a given test video sequence. To verify the effectiveness of our proposed method, extensive and comparative experiments have been conducted to evaluate our method on COX face databases with their standard face identification protocols. Experimental results showed that our method can achieve better or comparable identification rate compared to other state-of-the-art video FR methods.