• Electronics and Telecommunications Trends
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• v.28 no.2
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• pp.50-57
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• 2013

스마트폰 및 태블릿 PC에 들어가는 핵심 부품인 AP(Application Processor)는 모두 GPU(Graphics Processing Unit)를 내장하고 있다. 이는 칩 면적의 제약과 사용 가능한 전력의 한계로 데스크톱의 그래픽 카드에 탑재된 고성능 GPU와는 다른 설계 제약을 받는다. 본고에서는 고성능 GPU와 다른 설계 조건을 갖는 mobile GPU 기술에 대해서 알아보았고 대표적인 commercial mobile GPU인 Imagination, ARM, Qualcomm, NVidia사의 mobile GPU의 특징 및 성능에 대해서 알아보았다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2000.05a
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• pp.278-300
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• 2000

일본에서는 이미 1997년에 제 6회 기술예측조사를 실시하여 2025 년까지의 미래기술예측을 실시하였고 우리나라에서도 1998 년 6 월부터 약 1 년 반동안 중장기 기술예측을 실시하여 1999 년 11 월에 제 2 회 과학기술예측 결과를 발표하였다. 양국의 전자 정보ㆍ통신분야의 기술예측 결과를 비교ㆍ분석하여 양국의 기술예측결과의 특징을 살펴보고 정책적 활용방법을 모색해 본다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.556-563
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• 2003

반도체 산업은 글로벌하게 공급사슬이 형성되어 있고, 공급사슬 구성에서 다른 제조산업과 구별되는 독특한 특징을 가지고 있다. 본 논문은 reentrancy공정과 binning특성을 고려한 반도체 산업의 생산과 분배망에 대한 공급사슬 모형을 제안한다. 3가지 생산 정책과 2가지 분배 정책에 대한 수리모형을 수립하여 총 5가지 공급사슬 모형을 형성하였고, 각각의 모형에 대해 해를 도출하여 비교, 분석하였다. 생산공정에서는 Balance정책, 분배공정에서는 Pull정책을 조합한 모형이 다른 모형들보다 더 좋은 성능을 보여 주고 있다.

• Korean Journal of Oriental Medicine
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• v.15 no.2
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• pp.79-84
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• 2009

本稿考證江西'樟樹藥帮'的起源,形成的歷史及其特點. 樟樹背野面河, 瀕臨贛江, 扼袁贛二水四通之地, 得地勢之便. 樟樹作爲中國南方藥材集散和加工炮制的發祥地, 其藥材炮制及經營獨具特色, 自成體系, 素有'樟樹帮'之稱. 樟樹帮中藥選料上乘, 炮制技術精良, 且品種花色齊全, 享有'藥不過樟樹不靈', '藥不到樟樹不齊'的盛譽. 樟樹帮是一股强大的藥業勢力. 其人數之多, 輻射範圍之廣, 影響之大, 居全國之首. 在長期的實踐中, 樟樹藥人不斷改進經營管理方法, 創造了號 行 店 庄的獨特的經營方式, 體現了樟樹獨特的經營藝術.

• Review of KIISC
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• v.32 no.3
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• pp.11-18
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• 2022

COVID-19로 인해 증가된 사이버 활동과 함께 랜섬웨어 공격으로 인한 피해사례도 증가하였다. 랜섬웨어 공격자들은 2021년 새로 발견된 취약점을 악용하고, 기업을 대상으로 공격하여 2차 피해를 야기하였다. 세계 각국에서는 이러한 피해를 줄이기 위해 랜섬웨어 대응을 위한 정책을 발표하였다. 본 논문에서는 2021년 큰 피해를 유발한 주요 랜섬웨어 공격을 정리한다. 관련된 2021년과 2022년 상반기까지 발표된 랜섬웨어 대응 정책을 조사하고 공통된 특징점을 찾아 4가지 유형으로 분류한다. 각 유형별로 최근 세계 정부 및 기관에서 제시하는 랜섬웨어 대응 동향에 대해 살펴본다.

• Korean Journal of Oriental Medicine
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• v.8 no.2 s.9
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• pp.23-35
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• 2002

통과대명청대진단학발전사적고찰(通過對明淸代診斷學發展史的考察), 득도료여하결론(得到了如下結論):도료명대(到了明代), 출현료대량적유관망진적전문서적(出現了大量的有關望診的專門書籍), 정차(井且), 개시대소아지문진행요망진연구(開始對小兒指紋進行了望診硏究), 환유(還有), 대설진적발전이경유료탁월인식(對舌診的發展已經有了卓越認識). 명대적사진화변증학설적발전여오우가적(明代的四診和辨證學說的發展與吳又可的) ${\ulcorner}$온역론(溫疫論)${\lrcorner}$ 개시거두적온병학설적발전유밀녕접적연계(開始據頭的溫病學說的發展有密接的連繫). 도료명대(到了明代), 이경대륙경변증(已經對六經辨證), 장부변증화팔강변증유료계통면완선적변증체계(臟腑辨證和八綱辨證有了系統面完善的辨證體系), 특별시개시출현료온병변증(特別是開始出現了溫病辨證). 대우청대적망진적발전특징(對于淸代的望診的發展特徵), 가이귀납위대우설진적대량적연구화유관망진적전문서적적출현(可以歸納爲對于舌診的大量的硏究和有關望診的專門書籍的出現). 특별시수착온병학설약발전면공동발전적설진적만화야흔돌출.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.3
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• pp.24-31
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• 2001

The K-L expansion is a method for compressing dimensions of features and thus reduces computational cost in recognition process. Also This is well known that features can be extracted without much loss of information in the statistical pattern recognition. In this paper, the method that effectively applies K-L(Karhunen-Loeve) expansion to feature parameters of speech is proposed to improve the recognition accuracy of the Korean speech recognition system. The recognition performance of a novel feature parameters obtained by the proposed method(K-L coefficients) is compared with those of conventional Mel-cepstrum and regressive coefficients through speaker independent connected digits recognition experiments. Experimental results showed that average recognition rates using the K-L coefficients with regression coefficients obtained higher accuracy than conventional Mel-cepstrum with their regression coefficients.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.191-197
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• 2013

In this paper, we implemented a paper currency recognition system using IR(infrared) sensor. The system has 32 channel IR sensor to measure the reflection and penetration quantity of light. The IR image of paper currency of 10-bit gray scale is used to differentiate the real and counterfeit paper currency with image information from 0 to 4095. The characteristics of IR image are recognized by brightness and darkness and the positions of bright and dark portions are different between real and counterfeit paper currency. The price of IR sensors were relatively high, however, it is good price in these days due to mass production to apply to counterfeit detection area. We used a software table having the IR characteristics of real paper currency to compare with the IR images of the input paper currency. The performance of the implemented system shows 1-2% error rates for Euro real paper currency and 0% error rates for various counterfeit paper currencies of several countries.

• Journal of Broadcast Engineering
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• v.17 no.2
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• pp.388-399
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• 2012

In the paper, we propose enhanced feature extraction and matching methods for a mobile environment based on modified SURF. We propose three methods to reduce the computational complexity in a mobile environment. The first is to reduce the dimensions of the SURF descriptor. We compare the performance of existing 64-dimensional SURF with several other dimensional SURFs. The second is to improve the performance using the sign of the trace of the Hessian matrix. In other words, feature points are considered as matched if they have the same sign for the trace of the Hessian matrix, otherwise considered not matched. The last one is to find the best distance-ratio which is used to determine the matching points. We find the best distance-ratio through experiments, and it gives the relatively high accuracy. Finally, existing system which is based on normal SURF method is compared with our proposed system which is based on these three proposed methods. We present that our proposed system shows reduced response time while preserving reasonably good matching accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.6
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• pp.819-824
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• 2021

As technologies related to image processing such as autonomous driving and CCTV develop, fog removal algorithms using a single image are being studied to improve the problem of image distortion. As a method of predicting fog density, there is a method of estimating the depth of an image by generating a depth map, and various fog features may be used as training data of the depth map. In addition, it is essential to implement a hardware capable of processing high-definition images in real time in order to apply the fog removal algorithm to actual technologies. In this paper, we implement NLCV (Normalize Local Coefficient of Variation), a feature of fog based on coefficient of variation, in hardware. The proposed hardware is an FPGA implementation of Xilinx's xczu7ev-2ffvc1156 as a target device. As a result of synthesis through the Vivado program, it has a maximum operating frequency of 479.616MHz and shows that real-time processing is possible in 4K UHD environment.