• 대한전자공학회논문지SD
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• 제42권11호
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• pp.49-54
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• 2005

본 논문에서는 최소의 sub-window를 사용하여 정확한 초점 값을 측정할 수 있는 모바일 폰 용 저전력 MDCT 초점 값 연산 방식을 제안하였다. 제안된 알고리즘은 기존의 DCT 연산 계수 중 초점 값의 척도로 사용하기에 특성이 가장 우수하고, 하드웨어로 구현하였을 경우 연산량이 최소가 되는 중간 결과 계수를 초점 값으로 사용한다. 또한 중간 주파수에 연관된 DCT 결과를 초점 값으로 사용하므로 임펄스 성 노이즈의 영향을 줄일 수 있고, 영상의 흐린 정도에 따른 초점 값의 변화가 커서기존의 Gradient 방식보다 초점 값 특성이 우수하다. 제안된 알고리즘은 Verilog HDL언어를 사용하여 구현되었으며, Excalibur-ARM보드에 내장하여 그 성능을 검증하였다.

• 한국통신학회논문지
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• 제40권12호
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• pp.2476-2484
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• 2015

배의 방사 소음을 이용하여 배를 탐지하는 데는 협대역 톤을 추정하는 방법과 광대역 신호에 내포된 주기성 신호를 추정하는 방법이 있다. 그 중에서 광대역 신호에 내포된 주기성 신호를 추정하는 방법을 데몬 신호 처리법이라고 한다. 본 논문에서는 데몬 처리를 위해서 압출 센싱 기법을 자기 상관기 필터 뱅크에 적용한 기법을 제안한다. 그리고 합성된 신호와 실제 신호를 바탕으로 기존 방법들과 비교하여 기본 주파수 신호를 우수하게 추정할 뿐만 아니라 기존 방법에 비해서 짧은 신호 길이를 사용해도 우수한 성분 추정 성능을 할 수 있음을 보인다.

• 한국해양공학회지
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• 제21권4호
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• pp.55-60
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• 2007

In contrast to the method in Part I, which is considered to be the general approach, Part II pursues a closed-form solution. However, this closed-form solution is available only in the 2D situation under the assumption that the moving object is restricted to a 2D space, and also requires the use of only two laser-slit sensors. Since the motion of the container loaded on top of an AGV is restricted to a plane parallel to the ground, it can be considered a 2D motion. As a simple method, but with a high cost, the use of a laser scanner is also discussed. Since the approach in Part I already uses three laser-slit sensors, it is desirable to use the schemes presented in Part II for supplementary purposes.

• 한국산학기술학회논문지
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• 제12권5호
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• pp.2360-2366
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• 2011

무인차량의 주행은 각종 센서를 이용한 차량제어시스템, 항법시스템, 장애물시스템, 통합시스템의 4가지 서브 시스템으로 구성 되어있다. 본 연구는 비접촉 거리측정 장치인 레이저스캐너를 이용하여 무인차량의 평행주차 및 직각주차 알고리즘 개발을 목적으로 하였다. 이 알고리즘을 검증하기 위하여 GPS와 차량에 6대의 레이저스캐너를 장착하여 이용하였고, 레이저스캐너를 이용한 위치 계산의 오차를 줄이기 위해 타이어 미끄러짐을 최소로 할 수 있도록 5km/h로 차량의 이동 속도를 제한하였다.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2007년도 춘계학술대회
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• pp.38-46
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• 2007

본 논문에서는 실시간으로 획득된 영상을 분석하여 움직이는 다수 물체를 검출하고, 카메라를 자동 제어하여 관심 보행자만을 추적하는 시스템을 제안한다. 다수 물체 영역 검출은 차영상과 이전변환 밀도값을 이용한다. 검출된 다수 물체 영역에서 사람의 구조적 정보와 형태 정보를 이용하여 나무들의 흔들림으로 인한 영역이나 차량의 움직임 영역은 제거되고, 관심 보행자 영역만을 검출하였다. 관심 보행자 추적은 무게중심 차를 이용한 움직임 정보와 k-means 알고리즘으로 구한 세 점의 평균 색상 정보를 이용한다. 원거리 관심 보행자는 인식률을 높이기 위해 줌을 실행하여 확대하고, 관심 보행자의 화면상 위치에 따라 카메라 방향을 자동으로 조정하여 관심 보행자반을 연속적으로 추적한다. 실험 결과, 제안한 시스템은 실시간으로 움직이는 다수 물체를 검출하고, 사람의 구조적 특정과 형태 정보로 관심 보행자만을 검출할 수 있었고, 움직임 정보와 색상정보로 관심 보행자를 연속적으로 추적할 수 있었다.

• 한국대기환경학회지
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• 제17권2호
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• pp.157-167
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• 2001

Although PAN has ong been considered to belong to one of the most characteristic photooxidants, its concentra-tions have rarely been measured in a systematic manner in Korea. The first in-situ Measurements of PAN were made in concert with simultaneous analysis of NO, NO$_2$, $O_3$ and UV-Visible radiation intensity from Seoul and dong-Hae during Spring and early Summer of 1999. The aim of our study was to evaluate the behavior of photo-chemical species in a highly polluted urban air and a relative clean one. PAN were determined using a semi-auto-mated gas chromatograph equipped with an electron captured detection system. Calibration of the PAN was done by synthesizing liquid standards using a strong acid nitration of the corresponding peracid. The PAN concentra-tions were found in the range of a few ppbv in the urban air ad persistently less than a ppbv in the clean rural airs. Diurnal variations of PAN and $O_3$ were also observed consistently during the experiment with maxima occurring during the late daylight hours. While the positive dependency of $O_3$ production and PAN concentrations were ob-served in most occasion, the dependency became deviated significantly under changes in air masses.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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• pp.283-285
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• 2005

This paper presents a new two-terminal numerical algorithm for fault location estimation and for faults recognition using the synchronized phasor in time-domain. The proposed algorithm is also based on the synchronized voltage and current phasor measured from the PMUs(Phasor Measurement Units) installed at both ends of the transmission lines. Also the arc voltage wave shape is modeled numerically on the basis of a great number of arc voltage records obtained by transient recorder. From the calculated arc voltage amplitude it can make a decision whether the fault is permanent or transient. In this paper the algorithm is given and estimated using DFT(Discrete Fourier Transform) and the LES(Least Error Squares Method). The algorithm uses a very short data window and enables fast fault detection and classification for real-time transmission line protection. To test the validity of the proposed algorithm, the Electro-Magnetic Transient Program(EMTP/ATP) and MATLAB is used.

• 대한화장품학회:학술대회논문집
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• 대한화장품학회 2003년도 IFSCC Conference Proceeding Book I
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• pp.85-96
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• 2003

Normal human skin, constantly challenged by environmental micro-organisms, has an innate ability to fight invading microbes through antimicrobial peptides. These peptides, described in both plant and animal kingdoms are able to inactivate a broad spectrum of micro-organisms. Mammalian defensins constitute one of the most common antimicrobial peptide family. Among the three human beta-defensins hBD1, hBD2 and hBD3 produced in epithelia, only hBD2 and hBD3 are inducible and additionally have been described as expressed by differentiated keratinocytes at site of inflammation and infection. The aims of these studies were to define a cell culture model in which the basal production of hBD could be detected and up-regulated in order to enhance skin auto-protection against micro-organisms. A specific Polymerase Chain Reaction method have been developed for hBD2 and hBD3 mRNA detection in non-differentiated monolayer keratinocytes cell culture. We have been able to demonstrate that in vitro, hBD2 and hBD3 expression in normal human keratinocytes could be detected and enhanced by TNF-alpha and IFN-gamma, in hypercalcic culture conditions. This research opened the possibility of the development of cosmetic active compounds, able to induce the expression of skin natural antibiotic peptides responsible about microflora ecology of the skin.

• 한국컴퓨터정보학회논문지
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• 제21권3호
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• pp.91-96
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• 2016

We have surrounded undesired living noises in our life. One of biggest noises coming out of range hood during cooking in the kitchen. A range hood is one of the most important appliances in the kitchen because it ventilates polluted air out during cooking, and maintains air quality in the kitchen. But current kitchen range hoods bring up some issues; First, the range hoods consume massive amount of standby power not in use condition. Second, current models have designed manual fan operating system with sudden onset of noise with starting. In this paper, we propose an auto control system entire processes from air ventilation to noise reduction. Our system is consist of three parts (Eco-sensors pack, Main Controller and Active Noise Controller); Eco-sensors pack detects air pollution of kitchen areas and sends the detection values to Main Controller. Main Controller determines operation of range hood by detected values. Active Noise Controller is located inside of the range hood. It received starting signals from Main Controller which elicits degrees of polluted air condition and fan operating speed from 1 to 3. Once Active Noise Controller detected the signals, it runs a ventilating fan until new value from Main Controller becomes 0. while the range hood works, A noise cancellation algorithm inside of Active Noise Controller become activated to reduce levels of noise. As a result, the proposed system clearly shows reduction in power consumption include standby power and decreases in levels of noise.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 추계학술대회 논문집
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• pp.687-690
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• 2000

Lately, many studies have been progressed for the protection human's lives and property as holding in check accidents happened by human's carelessness or mistakes. One part of these is the development of an autonomouse vehicle. General control method of vision-based autonomous vehicle system is to determine the navigation direction by analyzing lane images from a camera, and to navigate using proper control algorithm. In this paper, characteristic points are abstracted from lane images using lane recognition algorithm with sobel operator. And then the vehicle is controlled using two proposed auto-steering algorithms. Two steering control algorithms are introduced in this paper. First method is to use the geometric relation of a camera. After transforming from an image coordinate to a vehicle coordinate, a steering angle is calculated using Ackermann angle. Second one is using a neural network algorithm. It doesn't need to use the geometric relation of a camera and is easy to apply a steering algorithm. In addition, It is a nearest algorithm for the driving style of human driver. Proposed controller is a multilayer neural network using Levenberg-Marquardt backpropagation learning algorithm which was estimated much better than other methods, i.e. Conjugate Gradient or Gradient Decent ones.