• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1002-1005
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• 2014

아웃도어 열풍과 자연생태공원 조성 등으로 야외활동이 증가하고, 그에 따라 야생화를 접할 기회가 늘어나는 추세이다. 스마트 기기의 보유율이 증가하고 있는 현실을 반영하여, 스마트 기기를 이용한 등산 탐방로, 생태공원 등에 조성되어 있는 야생화를 판별해 줄 어플리케이션을 개발하고자 한다. 이 논문에서는 촬영한 야생화 이미지에서 배경과 대상을 분리하는 방법과 색상을 추출하는 방법을 분석하고 데이터베이스에서 검색하여 사용자에게 야생화 정보를 제공하는 방법을 제안한다.

• Proceedings of the KIEE Conference
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• 1999.07h
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• pp.21-25
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• 1999

This paper proposes a novel control strategy of SVC(Static var compensator) using cascade multilevel inverter. To control the reactive power instantaneously, the dq-dynamic system model is described and analyzed. A single pulse pattern based on the SHE(Selective Harmonic Elimination) technique is determined from the look-up table to reduce the line current harmonics and a rotating fundamental frequency switching scheme is applied to adjust the DC capacitor voltage at the scheme level. From the simulation, it is verified that this proposed control scheme make the dynamic control response of SVC fast, the current harmonics low, and the DC capacitor voltage balanced.

• Biomolecules & Therapeutics
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• v.4 no.2
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• pp.148-153
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• 1996

Activation of the T lymphocytes results in a variety of early biochemical events ultimately leading to cell proliferation and lymphokine production. Stimulation of the signal transduction cascade in T cells through the T cell receptor coincides with activation of the phosphatidylinositol-phospholipase C (PI-PLC) pathway. Therefore, we have established a model system to screen immune-simulator that can increase the hydrolysis of phosphoinositides in human T cell leukemia Jurkat cells. As a result of screening from herbal medicine extract, 4 extracts (O1ibanum, Ephedrae Herba, Real Gar, Saussureae Radix) were found 14 increase the production of inositol phosphates. All the active fraction from the four kinds of extract were fluted in a different retention time on C-18 HPLC and these active fraction also showed difference in cell specificity. And all the active fractions increased DNA synthesis in T cell. Therefore, it is suggested that the active fraction among 4 extracts might contain a compound having different properties one another.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1365-1368
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• 2015

컴퓨터 비전 분야의 활용영역과 시장성이 증대하면서 가장 많이 사용되는 객체인식 및 탐지 기술과 관련된 연구는 꾸준히 진행되고 있다. 최근에는 ADAS(Advanced Driver Assistance Systems)와 특징적인 객체를 인식 추적할 수 있는 지능형 감시시스템에서의 가장 핵심적인 기술로 자리 잡고 있다. 본 연구에서는 보행자 탐지에 사용하는 특징들 중에서 조명변화에 강건한 HOG와 Cascade-Adaboost를 기반으로 보행자 탐지 모델을 후보영역을 검출하고 검출된 영역에서 컬러정보를 추출하여 의사결정 트리에 적용시켜 최종 보행자를 탐지하는 시스템을 제안한다.

• Proceedings of the KIPE Conference
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• 2010.11a
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• pp.196-197
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• 2010

In same cases of grid connected system using photovoltaic modules, high boosting ratio is required for the converters. Four topologies based on conventional boost converters are implemented according to the voltage doubler and cascade methods. The topologies are analyzed and compared according to its boosting ratio and configurations. Consequently, the suitability of four topologies for MIC application is considered by simulation results.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.189-199
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• 2020

We aimed to understand various problems identified at waterscape facilities of gardens built at garden shows in Korea. The main purpose of the study is to understand which parts of waterscape facility built in gardens at garden shows are causing problems and whether these problems can be traced back from garden design phase or from local communities in charge of maintenance. Furthermore, we examined if such problems get more aggregated as time passes by and different garden shows have different types of problems. In this study, types of waterscape facilities examined are pond, waterway, wall fountain, water glass, trough, mist, Cascade, fountain, rain garden, waterfall. An analysis of the maintenance status of waterscape facilities introduced in the existing gardens confirmed that problems could arise in two main respects. One is due to poor maintenance by the organizers of the garden show, and the other is due to the poor design of waterscape facilities by the garden designer.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.519-520
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• 2021

본 논문에서는 딥러닝 기반의 얼굴인식과 Harr Cascade 분류기를 이용한 눈인식, 스마트워치를 매개로 한 심박수 측정을 활용하여 운전자 졸음운전 경고 시스템을 제안하였다. 제안하는 시스템은 PERCLOS 방법을 적용하여 운전자의 눈 감은 시간을 누적시켜 졸음 상태 유무를 판단하고, 스마트워치의 HR센서를 활용한 운전자의 심박수 값 모니터링을 진행하여 졸음 발생 시 경고음을 발생시켜 졸음운전으로 인한 교통사고를 예방할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.184-187
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• 2020

본 논문에서는 실시간 얼굴인식 기술을 활용한 인물 선별 송출 시스템을 제안한다. 실시간 동영상 안에 등장하는 다수의 인물 객체 얼굴을 검출하고 인식하기 위해 Haar 특징 정보 기반의 다단계(Cascade) 학습 알고리즘을 사용한다. 이 시스템은 다수의 인물을 인식하고 학습할 수 있으며 인식된 각 인물의 송출 여부를 사용자가 직접 선택할 수 있는데 이 모든 선택 송출 과정을 실시간으로 처리할 수 있다. 여기에서 제시한 기술은 다자간 화상 채팅이나 다자간 화상 회의에서 특정인의 프라이버시 보호를 위한 기술로 활용될 수 있다.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.28 no.5
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• pp.202-207
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• 2016

Experimental studies for an indirect R404A-$CO_2$ refrigeration system and a direct R404A refrigeration system were conducted. The configurations of the indirect R404A-$CO_2$ refrigeration system are a R404A refrigeration system as a top cycle and a circulating $CO_2$ system as a bottom cycle. The direct R404A system was modified from indirect R404A-$CO_2$ refrigeration system by removing circuit for $CO_2$ circulation. Various tests for both systems were conducted by changing load side brine temperature from 0 to 5 and $10^{\circ}C$ with cooling brine temperatures for R404A system at 15, 20, or $25^{\circ}C$. The indirect R404A-$CO_2$ refrigeration system showed the highest COP when load side brine temperature was at $10^{\circ}C$ in the evaporator and at cooling brine temperature of $15^{\circ}C$. The COP of 3.04 under that condition was the highest. This indirect R404A-$CO_2$ refrigeration system showed 9.02% higher COP than the direct R404A system that had increased pipeline length of 15 m, which simulated actual installation in a supermarket.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.12
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• pp.1109-1114
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• 2015

This paper presents an improved learning-based visual inspection method for auto parts inspection in severe lighting changes. Automobile sunroof frames are produced automatically by robots in most production lines. In the sunroof frame manufacturing process, there is a quality problem with some parts such as volts are missed. Instead of manual sampling inspection using some mechanical jig instruments, a learning-based machine vision system was proposed in the previous research[1]. But, in applying the actual sunroof frame production process, the inspection accuracy of the proposed vision system is much lowered because of severe illumination changes. In order to overcome this capricious environment, some selective feature vectors and cascade classifiers are used for each auto parts. And we are able to improve the inspection accuracy through the re-learning concept for the misclassified data. The effectiveness of the proposed visual inspection method is verified through sufficient experiments in a real sunroof production line.