• 한국전기전자재료학회논문지
• /
• 제17권4호
• /
• pp.404-409
• /
• 2004

We fabricated photo-sensor for fluorescence detection in LOC. LOC is high throughput screening system. Our LOC screens biochemical reaction of protein using the immunoassay, and converts biochemical reaction into electrical signal using LIF(Laser Induced Fluorescence) detection method. Protein is labeled with rhodamine intercalating dye and finger PIN photodiode is used as photo-sensor We measured fluorescence emission of rhodamine dye and analyzed tendency of fluorescence detection, according to photo-sensor size, light intensity, and rhodamine concentration. Detection current was almost linearly proportional to two parameters, intensity and concentration, and was inversely proportional to photo-sensor size. Integrated LOC consists of optical-filter deposited photo-sensor and PDMS microchannel detected 50 (pg/${mu}ell$) rhodamine. For integrated LOC including light source, we used green LED as the light source and measured emitted fluorescence.

• Journal of information and communication convergence engineering
• /
• 제6권4호
• /
• pp.439-443
• /
• 2008

It is shown that even if the modulating frequency of the light is too high for direct detection the signal can be extracted by frequency conversion at the same time as the detection by means of the nonlinearity of the APD. When this frequency conversion detection is applied to an optical receiver, the detection bandwidth can be increased while the configuration of the optical detection circuit and the signal processing in the subsequent stages are simplified. A fundamental analysis is carried out with an APD which is confirmed experimentally.

• 한국전자통신학회논문지
• /
• 제7권3호
• /
• pp.579-583
• /
• 2012

환경적으로 발생하는 미세입자를 감지하는 시스템을 설계하고 제작하였다. 미세입자 감지시스템은 광산란 현상을 이용하였으며, 레이저다이오우드, 렌즈, aperture, 수광소자로 구성되어진다. 검출시스템의 성능을 좋게 하기 위해 aperture, 렌즈, 수광소자의 위치를 시뮬레이션을 통해 최적화하였다. 제작된 감지시스템으로 유입되는 미세입자에 의한 광산란을 감지하므로 빠른 응답특성를 가지는 미세입자 감지시스템을 제작하였다.

• 대한원격탐사학회지
• /
• 제26권3호
• /
• pp.347-359
• /
• 2010

Ortho-photos provide valuable spatial and spectral information for various Geographic Information System (GIS) and mapping applications. The absence of relief displacement and the uniform scale in ortho-photos enable interested users to measure distances, compute areas, derive geographic locations, and quantify changes. Differential rectification has traditionally been used for ortho-photo generation. However, differential rectification produces serious problems (in the form of ghost images) when dealing with large scale imagery over urban areas. To avoid these artifacts, true ortho-photo generation techniques have been devised to remove ghost images through visibility analysis and occlusion detection. So far, the Z-buffer method has been one of the most popular methods for true ortho-photo generation. However, it is quite sensitive to the relationship between the cell size of the Digital Surface Model (DSM) and the Ground Sampling Distance (GSD) of the imaging sensor. Another critical issue of true ortho-photo generation using high resolution satellite imagery is the scan line search. In other words, the perspective center corresponding to each ground point should be identified since we are dealing with a line camera. This paper introduces alternative methodology for true ortho-photo generation that circumvents the drawbacks of the Z-buffer technique and the existing scan line search methods. The experiments using real data are carried out while comparing the performance of the proposed and the existing methods through qualitative and quantitative evaluations and computational efficiency. The experimental analysis proved that the proposed method provided the best success ratio of the occlusion detection and had reasonable processing time compared to all other true ortho-photo generation methods tested in this paper.

• 한국광학회:학술대회논문집
• /
• 한국광학회 2002년도 제13회 정기총회 및 2002년도 동계학술발표회
• /
• pp.246-247
• /
• 2002

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 2009년도 IWAIT
• /
• pp.108-113
• /
• 2009

Significant attention has recently been drawn to digital home photo albums that use face detection technology. The tendency can be found in home photo albums that people prefer to allocate concerned objects in the center of the image rather than the boundary when they take a picture. To improve detection performance and speed that are important factors of face detection task, this paper proposes a face detection method that takes spatial context information into consideration. Experiments were performed to verify the usefulness of the proposed method and results indicate that the proposed face detection method can efficiently reduce the false positive rate as well as the runtime of face detection.

• 정보과학회 논문지
• /
• 제43권12호
• /
• pp.1356-1364
• /
• 2016

본 논문에서는 딥러닝 기법 중 하나인 deep convolutional neural network (DCNN)을 이용하여 영상의 구도를 개선하는 방법을 제시한다. 기존의 구도 개선 방법들은 영상의 주요 물체의 위치를 바탕으로 한 구도 평가 점수를 정의한 뒤 최적화를 통해 평가 점수를 향상시키는 방향으로 영상을 개선한다. 이는 계산량이 많고 기존 주요 물체 검출 알고리즘의 성능에 종속적이기 때문에 영상에 따라 구도 개선이 제대로 수행되지 않는 경우가 존재한다. 본 논문에서는 영상의 특징 추출에 뛰어난 성능을 보이는 DCNN을 이용해 영상을 반복적으로 크롭하여 미학적으로 구도가 개선된 영상을 얻는 방법을 제안한다. 실험 결과 및 사용자 평가를 통해 본 논문에서 제안한 알고리즘이 주어진 영상을 특정 구도 가이드라인(삼분할법, 주요 물체의 크기 등)을 따르도록 자동으로 크롭한다는 것을 보인다.

• ETRI Journal
• /
• 제30권3호
• /
• pp.432-440
• /
• 2008

In this paper, a user-friendly mobile photo album system and albuming functions to support it are introduced. Stand-alone implementation in a mobile device is considered. The main idea of user-friendly photo browsing for albuming functions is to enable users to organize and browse their photos along semantically meaningful axes of events, personal identities, and categories. Experimental results demonstrate that the proposed method would be sufficiently useful and efficient for browsing personal photos in mobile environment.

• 전력전자학회논문지
• /
• 제27권2호
• /
• pp.100-105
• /
• 2022

This paper applies the arc detection algorithm to prevent the false detection in photo voltaic series arc detection circuit, which is required not only to detect the series arc quickly, but also not falsely detect the arc for the non-arc noise. For this purpose, this study proposes a rapid and preventive false detection method of single peak noise and short noise signals. First, to prevent false detection by single peak noise, Discrete wavelet transform (DWT)-based characteristic parameters are applied to determine the shape and the amplitude of the noise. In addition, arc fault detection within a few milliseconds is performed with the DWT iterative algorithm to quickly prevent false detection for short noise signals, considering the continuity of serial arc noise. Thus, the method operates not only to detect series arc, but also to avoid false arc detection for peak and short noises. The proposed algorithm is applied to real-time serial arc detection circuit based on the TMS320F28335 DSP. The serial arc detection and peak noise filtering performances are verified in the built simulated arc test facility. Furthermore, the filtering performance of short noise generated through DC switch operation is confirmed.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제2권1호
• /
• pp.15-19
• /
• 2002

Automatic detection of interstitial lung disease using Neural Network is presented. The rounded opacities in the pneumoconiosis X-ray photo are picked up quickly by a back propagation (BP) neural network with several typical training patterns. The training patterns from 0.6 mm ${\O}$ to 4.0 mm ${\O}$ are made by simple circles. The total evaluation is done from the size and figure categorization. Mary simulation examples show that the proposed method gives much reliable result than traditional ones.