• 디지털콘텐츠학회 논문지
• /
• 제11권3호
• /
• pp.393-398
• /
• 2010

핸드폰, MP3 플레이어 등 간단한 방법으로 디지털 정지영상을 획득할 수 있는 복합형 소형기기는 이미 대중화되었으며, 보안 및 기록용 기기에도 정지영상의 응용은 보편화되어 가고 있다. 정지영상은 개인 소장용 저장소 또는 다양한 웹서비스가 제공하는 대용량 저장소를 통해 관리 또는 공유가 되고 있으며, 그 용량은 급격하게 늘어가고 있다. 각각의 이미지는 주로 사용자가 파일이름 또는 식별자를 임의로 부여 하거나, 정지영상을 생성하는 기기가 제공하는 특정 명명체계에 따라 자동적으로 부여하는 식별자를 가지게 된다. 이러한 식별자는 데이터베이스에서 특정 정지영상을 식별할 수 있는 보편적 방법으로 사용하고 있다. 하지만, 임의적 방법 또는 자동적 방법으로 부여되는 값들은 변경 또는 소실될 가능성이 있어, 정지영상 검색과 관리에 차질을 가져올 뿐 아니라 동일 정지영상 검색을 위해서는 비용이 높은 방법을 사용하여야 한다. 본 논문에서는 정지영상 자체 속성에서 변하지 않는 값을 추출하여 이를 정지 영상 데이터베이스의 식별자로 활용할 수 있는 방법을 제안 한다.

• 한국재료학회:학술대회논문집
• /
• 한국재료학회 2003년도 추계학술발표강연 및 논문개요집
• /
• pp.136-136
• /
• 2003

In fiber optic networks, system size and cost can be significantly reduced by development of optical components through planar optical waveguides. One important step to realize the compact optical devices is to develop planar optical amplifier to compensate the losses in splitter or other components. Planar amplifier provides optical gain in devices less than tens of centimeters long, as opposed to fiber amplifiers with lengths of typically tens of meters. To achieve the same amount of gain between the planar and fiber optical amplifier, much higher Er doping levels responsible for the gain than in the fiber amplifier are required due to the reduced path length. These doping must be done without the loss of homogeniety to minimize Er ion-ion interactions which reduce gain by co-operative upconversion. Sol-gel process has become a feasible method to allow the incorporation of Er ion concentrations higher than conventional glass melting methods. In this work, Er-doped $SiO_2$-A1$_2$ $O_3$ films were prepared by two different method via sol -Eel process. Tetraethylorthosilicate(TEOS)/aluminum secondary butoxide [Al (OC$_4$ $H_{9}$)$_3$], methacryloxypropylcnethoxysaane(MPTS)/aluminum secondary butofde [Al(OC$_4$ $H_{9}$)$_3$] systems were used as starting materials for hosting Er ions. Er-doped $SiO_2$-A1$_2$ $O_3$ films obtahed after heat-treating, coatings on Si substrate were characterized by X-ray din action, FT-IR, and N-IR fluorescence spectroscopy. The luminescence properties for two different processing procedure will be compared and discussed from peak intensity and life time.

• 한국안전학회지
• /
• 제9권1호
• /
• pp.9-18
• /
• 1994

In this study, we conducted experimental tests to evaluate fracture behaviors of fresh-butt welded metal by Acoustic Emission technique. We selected similar welding and dissimilar welding process, the one welded for SM45C, SS41 and SUS304 of each material, the other for SM45C and SS41, SM45C and SUS304 and SS41 and SUS304. The fracturing processes of weld metal were estimatied through the fracture toughness test with compact tension specimens and fractography analysis. In ASTM test method E-399, type I curves for materials of this study were obtained by load-cod diagram of fracture toughness test. and 5% offset load( $P_{5}$) was estimated as the estimated crack initial load( $P_{Q}$), The estimated crack initial load( $P_{Q}$) of similar welding materials generally lower than base matal, and then SM45C appeared greatly in decreasing rate of PB, SS41 and SUS304 appeared in order. $P_{Q}$ of dissimilar welding materials were lower than the similar welding materials. $P_{Q}$ of welding of SM45C and SS41 appeared in small, SUS304 and SS41 appeared greatly in dissimilar welding materials. In fracture toughness test, AE counts increased before the inflection point of the slope, decreased after that. It was found that increasing of AE counts were due to the microcrack formation at the crack tip near the $P_{5}$ point through AE data. For welding materials in this study, both low and high AE amplitude appeared simulataneously. It was confirmed that the low AE amplotude was due to formation of micro void, micro crack or micro dimple, the high AE amplitude was caused by microvoid coalescence and quasi-cleavage fracture through analyses of fractograpy.apy.apy.apy.

• 인지과학
• /
• 제28권4호
• /
• pp.299-314
• /
• 2017

In-silico 기반의 약물-표적 단백질 연관관계 예측은 신약 탐색 단계에서 매우 중요하다. 그러나 기존의 예측모델은 입력 값이 고정적이며 표적 단백질의 특질 값이 가공된 데이터로 한정됨으로써 예측 모델의 확장성과 유연성이 부족하다. 본 논문에서는 약물-표적 단백질 연관관계를 예측하는 확장 가능한 형태의 머신러닝 모델을 소개한다. 확장 가능한 머신러닝 모델의 핵심 아이디어는 쌍기반의 뉴럴 네트워크로써, 약물과 단백질의 미가공 데이터를 사용하여 특질을 추출하고 특질 값을 각각의 뉴럴 네트워크 레이어에 입력한다. 이 방법은 추가적인 지식없이 자동적으로 약물과 단백질의 특질을 추출한다. 또한 쌍기반 레이어는 특질 값을 풍부한 저차원의 벡터로 향상 시킴으로써 입력 값의 차이로 인한 편향 학습을 방지한다. PubChem BioAssay(PCBA) 데이터 셋에 기반한 5-폴드 교차 검증법을 통하여 제안한 모델의 성능을 평가했으며, 이전의 모델보다 우월한 성능을 보였다.

• 한국정밀공학회지
• /
• 제26권7호
• /
• pp.65-72
• /
• 2009

Laser interferometry is widely used as a measuring system in many fields because of its high resolution and its ability to measure a broad area in real-time all at once. In conventional laser interferometry, for example out-of-plane ESPI (Electronic Speckle Pattern Interferometry), in plane ESPI, shearography and holography, it uses PZT or other components as a phase shift instrumentation to extract 3-D deformation data, vibration mode and others. However, in most cases PZT has some disadvantages, which include nonlinear errors and limited time of use. In the present study, a new type of laser interferometry using a laser diode is proposed. Using Laser Diode Sinusoidal Phase Modulating (LD-SPM) interferometry, the phase modulation can be directly modulated by controlling the laser diode injection current thereby eliminating the need for PZT and its components. This makes the interferometry more compact. This paper reports on a new approach to the LD (Laser Diode) Modulating interferometry that involves four-frame phase shift method. This study proposes a four-frame phase mapping algorithm, which was developed to have a guaranteed application, to stabilize the system in the field and to be a user-friendly GUI. In this paper, the theory for LD wavelength modulation and sinusoidal phase modulation of LD modulating interferometry is shown. Using modulating laser and research of measurement algorithm does comparison with existent ESPI measurement algorithm. Algorithm measures using GPIB communication through most LabVIEW 8.2. GPIB communication does alteration through PC. Transformation of measurement object measures through modulating laser algorithm that develops. Comparison of algorithm of modulating laser developed newly with existent PZT algorithm compares transformation price through 3-D. Comparison of 4-frame phase mapping, unwrapping, 3-D is then introduced.

• 한국도로학회논문집
• /
• 제20권3호
• /
• pp.47-57
• /
• 2018

PURPOSES : The permeable pavement type has been rapidly developed for solving problems regarding traffic noise in the area of housing complex and heavy rainwater drainage in order to account for the climate change. In this regards, the objective of this study is to figure out the characteristics of pavement types. METHODS : The laboratory test for deriving optimum asphalt content (OAC) was conducted using the mixtures of the permeable asphalt surface for the pavement surface from Marshall compaction method. Based on its results, the pavement construction at the test field was conducted. After that, the site performance tests for measuring the traffic noise, strength and permeability were carried out for the relative evaluation in 2 months after the traffic opening. The specific site tests are noble close proximity method (NCPX), Light falling deflectometer test (LFWD) and the compact permeability test. RESULTS : The ordered highest values of the traffic noise level can be found such as normal dense graded asphalt, drainage and porous structure types. In the results from LFWD, the strength values of the porous and drainage asphalt types had been lower, but the strength of normal asphalt structure had relatively stayed high. CONCLUSIONS :The porous structure has been shown to perform significantly better in permeability and noise reduction than others. In addition to this study, the evaluation of the properties and the determination of the optimum thickness for the subgrade course under the porous pavement will be conducted using ground investigation technique in the further research.

• 한국정보전자통신기술학회논문지
• /
• 제8권4호
• /
• pp.257-262
• /
• 2015

본 논문에서는 SRR-DGS 공진기를 제안하고 그것의 등가회로를 해석하여 저역통과 필터 설계에 적용하였다. 기존의 덤벨형 DGS 구조로 된 것과 비교하였을 때 제안된 구조는 차단주파수 근처에서 스커트 특성과 저주파 대역의 평탄도 특성이 우수하였다. 기본적인 SRR-DGS 셀에서 등가회로의 병렬 커패시턴스를 증가하기 위해 전송선로에 개방 스터브를 추가함으로써 대역외 고주파 억압 특성을 개선하였다. 이와 같은 등가회로의 해석적인 방법으로 개선된 SRR-DGS 셀의 특성이 연구되어 차단 특성이 우수하고 고주파 억압 특성이 35dB이상인 저역통과 필터의 설계에 적용되었다. 그리고 공진기의 측면 길이와 링 간격 등과 같은 물리적 크기와 전송특성과의 관계를 해석하여 나타내었다. 개방 스터브의 면적을 증가하면 차단 주파수 이상의 대역에서 억압 특성이 개선되었다. SRR-DGS에 대해 유도해낸 등가 파라미터와 회로의 정확성을 검증하기 위해 SRR-DGS셀을 이용한 저역통과 필터를 설계하고 제작하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권10호
• /
• pp.3475-3489
• /
• 2014

Here we present a simple flame detection method for an infrared (IR) thermal camera based real-time fire surveillance digital signal processor (DSP) system. Infrared thermal cameras are especially advantageous for unattended fire surveillance. All-weather monitoring is possible, regardless of illumination and climate conditions, and the data quantity to be processed is one-third that of color videos. Conventional IR camera-based fire detection methods used mainly pixel-based temporal correlation functions. In the temporal correlation function-based methods, temporal changes in pixel intensity generated by the irregular motion and spreading of the flame pixels are measured using correlation functions. The correlation values of non-flame regions are uniform, but the flame regions have irregular temporal correlation values. To satisfy the requirement of early detection, all fire detection techniques should be practically applied within a very short period of time. The conventional pixel-based correlation function is computationally intensive. In this paper, we propose an IR camera-based simple flame detection algorithm optimized with a compact embedded DSP system to achieve early detection. To reduce the computational load, block-based calculations are used to select the candidate flame region and measure the temporal motion of flames. These functions are used together to obtain the early flame detection algorithm. The proposed simple algorithm was tested to verify the required function and performance in real-time using IR test videos and a real-time DSP system. The findings indicated that the system detected the flames within 5 to 20 seconds, and had a correct flame detection ratio of 100% with an acceptable false detection ratio in video sequence level.

• Journal of Computing Science and Engineering
• /
• 제9권4호
• /
• pp.204-213
• /
• 2015

Under the conditional independence assumption among local features, the Naive Bayes Nearest Neighbor (NBNN) classifier has been recently proposed and performs classification without any training or quantization phases. While the original NBNN shows high classification accuracy without adopting an explicit training phase, the conditional independence among local features is against the compositionality of objects indicating that different, but related parts of an object appear together. As a result, the assumption of the conditional independence weakens the accuracy of classification techniques based on NBNN. In this work, we look into this issue, and propose a novel Bayesian network for an NBNN based classification to consider the conditional dependence among features. To achieve our goal, we extract a high-level feature and its corresponding, multiple low-level features for each image patch. We then represent them based on a simple, two-level layered Bayesian network, and design its classification function considering our Bayesian network. To achieve low memory requirement and fast query-time performance, we further optimize our representation and classification function, named relation-based Bayesian network, by considering and representing the relationship between a high-level feature and its low-level features into a compact relation vector, whose dimensionality is the same as the number of low-level features, e.g., four elements in our tests. We have demonstrated the benefits of our method over the original NBNN and its recent improvement, and local NBNN in two different benchmarks. Our method shows improved accuracy, up to 27% against the tested methods. This high accuracy is mainly due to consideration of the conditional dependences between high-level and its corresponding low-level features.

• 한국컴퓨터산업학회논문지
• /
• 제2권3호
• /
• pp.357-362
• /
• 2001

기존의 레이저통신용 스위칭 방식은 변압기 2차측에 정류부 및 평활용 콘덴서가 필수적으로 포함되어 있으며, 이렇게 얻어진 직류전압의 후단부를 스위칭 하게 되므로 시스템장치가 복잡하다. 또한 스위칭에 의한 손실이 크고, 펄스반복율(pulse repetition rate)이 증가할수록 콘덴서에 저장된 에너지가 램프로 충분히 전달되지 못하여 레이저 출력 효율이 저감되는 단점이 있다. 본 연구에서는 스위칭에 의한 손실을 줄여 레이저의 출력 효율을 개선하고자 교류전압의 영점(ZERO)을 ZCC(zero cross control)방식으로 검출하여 변압기 2차측 교류전압의 영점에서 SCR을 턴-온(turn-on)시키는 레이저 시스템을 설계 및 제작하였다. 그 결과 기존의 평활용 콘덴서와 정류부를 사용한 레이저 시스템보다 펄스반복울이 10[pps]씩 증가할수록 레이저 출력 효율 약 3.5$\%$씩 증가하여 60pps에서는 약 25$\%$까지 상승하였다.