• Transactions of the Korean Society of Mechanical Engineers A
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• 제32권12호
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• pp.1102-1106
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• 2008

Microfluidics deals with the behavior, precise control and manipulation of fluids at a micro scale. It has become increasingly prevalent in various applications such as biomedical applications (diagnostics, therapeutics, and cell/tissue engineering), inkjet head, and fuel cells etc. The issue of inspection and characterization of microfluidics has emerged as a major consideration in design, fabrication, and detection of microfluidic devices. In this paper, we characterize a diffusion based mixing in Y-microchannel using a fluorescent optical scanner based on a DVD pick-up module, which is widely used in optical storages. Using fluorescent dye, we measure the fluorescent intensity that represents the mixing patterns in Y-microchannel. We also compare these experimental results with computational fluid dynamics (CFD) simulation ones. It is shown that the proposed optical scanner can be used as an alternative measurement system with high performance and cost-effectiveness, compared to conventional optical tools such as epifluorescent microscopes using high resolution CCD camera and confocal microscopes with photomultiplier (PMT) detectors.

• Journal of Advanced Navigation Technology
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• 제13권6호
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• pp.926-932
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• 2009

The whole-body massager among healthcare devices is under being popularized in a large scale as times goes by. It is critical to measure, analyze and judge the stress relaxsation trend from HRV signal using PPG in case of massager operation with such relaxsation device for removing stress of human being. There may be artifact in HRV measured signal because the measured object is under shaking with that massager in this case. We present the methodology to remove such artifact from those measured HRV signal, and then measure and analyze the desired HRV successfully in this paper.

• The KIPS Transactions:PartB
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• 제10B권6호
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• pp.705-710
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• 2003

Recent years, as a rapid development of multimedia technology, video database system to retrieve video data efficiently seems to core technology in the oriented society. This thesis describes an efficient automatic frame detection and location method for content based retrieval of video. Frame extraction part is consist of incoming / outgoing car frame extraction and car number frame extraction stage. We gain star/end time of car video also car number frames. Frames are selected at fixed time interval from video and key frames are selected by color scale histogram and edge operation method. Car frame recognized can be searched by content based retrieval method.

• Korean Journal of Poultry Science
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• 제22권4호
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• pp.233-238
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• 1995

A computer vision system was built to generate images of a single, stationary egg. This system includes a CGD camera, a frame grabber, and incandescent back lighting system. Image processing algorithms were developed to inspect egg shell and to sort eggs. Those values of both gray level and area of dark spots in the egg image were used as criteria to detect holes in egg and those values of both area and roundness of dark spots in the egg image were used to detect cracks in egg. For a sample of 300 eggs, this system was able to correctly analyze an egg for the presence of a defect 97.5% of the time. The weights of eggs were found to be linear to both the projected area and the perimeter of eggs viewed from above. Those two values were used as criteria to sort eggs. The coefficients of determination(r$^2$) for the regression equations between weights and those two values were 0.967 and 0.972 in the two sets of experiment. Accuracies in grading were found to be 95.6% and 96.7% as compared with results from sizing by electronic weight scale.

• Proceedings of the KSRS Conference
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.548-551
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• 2007

Among components of digital topographic maps used officially in Korea, only contours have 3D values except buildings and trees that are demanded in landscape planning. This study presented a series of processes for 3Dreconstructing landscape features such as terrain, buildings and standing trees using LiDAR (Light Detection And Ranging) data and aerial digital photo graphs. The 3D reconstructing processes contain 1) building terrain model, 2) delineating outline of landscape features, 3) extracting height values, and 4) shaping and coloring landscape features using aerial photograph and 3-D virtual data base. LiDAR data and aerial photograph was taken in November 2006 for $50km^{2}$ area in Sorak National Park located in eastern part of Korea. The average scanning density of LiDAR pulse was 1.32 points per square meter, and the aerial photograph with RGB bands has $0.35m{\times}0.35m$ spatial resolution. Using reconstructed 3D landscape features, visibility with the growing trees with time and at different viewpoints was analyzed. Visible area from viewpoint could be effectively estimated considering 3D information of landscape features. This process could be applied for landscape planning like building scale with the consideration of surrounding landscape features.

• Proceedings of the KSRS Conference
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.637-641
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• 2007

Airborne LIDAR (Light Detection and Ranging) technology has reached a degree of the required accuracy in mapping professions, and advanced LIDAR systems are becoming increasingly common in the various fields of application. LiDAR data constitute an excellent source of information for reconstructing the Earth's surface due to capability of rapid and dense 3D spatial data acquisition with high accuracy. However, organizing the LIDAR data and extracting information from the data are difficult tasks because LIDAR data are composed of randomly distributed point clouds and do not provide sufficient semantic information. The main reason for this difficulty in processing LIDAR data is that the data provide only irregularly spaced point coordinates without topological and relational information among the points. This study introduces an efficient and robust method for automatic extraction of building footprints using airborne LIDAR data. The proposed method separates ground and non-ground data based on the histogram analysis and then rearranges the building boundary points using convex hull algorithm to extract building footprints. The method was implemented to LIDAR data of the heavily built-up area. Experimental results showed the feasibility and efficiency of the proposed method for automatic producing building layers of the large scale digital maps and 3D building reconstruction.

• Parasites, Hosts and Diseases
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• 제41권2호
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• pp.113-115
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• 2003

We carried out a small-scale survey to investigate the status of intestinal protozoa and helminthes infection of inhabitants in Roxas city, Mindoro, the Philippines. Total 301 stool samples were subjected to the formalin-ether concentration method for the detection of helminth ova and protozoan cysts. The overall positive rate was 64.5%, and that of male and female were 56.6% and 72.5%, respectively. The highest infected helminth was Ascaris lumbricoudes (51.2%), followed by Trichuris trichiura (27.6%), hookworm (8.0%) and Enterobius vermicularis (0.3%). The protozoa infection status revealed that Entamoeba coli was the most frequent (15.0%). lodoamoeba buetschlii and E. histolytica were found but few. The multiple infection more than two parasites was 29.6%, and double infection with A. lumbricoides and T. trichiura was most common. The intestinal helminth infections were highly prevalent in this area, according to this result, and we concluded that anthelminthic drugs should be given to inhabiiants, especially to children of 1 to 15 years-old.

• Korean Journal of Veterinary Research
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• 제36권3호
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• pp.615-619
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• 1996

Sera of pigs with clinically normal and infectious conditions were analyzed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis(SDS-PAGE) to demonstrate the specific changes in protein profile. In the sera from pigs with infection, haptoglobin with a 40KDa protein was found to be increased as compared to that of sera from normal pigs. As a rapid detection method for monitoring infections at large-scale farms, one of acute phase protein, haptoglobin, was selected to compare the concentrations between infectious and non-infectious conditions. Haptoglobin concentrations were low in pigs with clinically normal conditions but significantly increased in pigs with Aujesky's disease, hog cholera and parvo-virus infection. The studies provide that haptoglobin can be used as an indicator to monitor infections early at farm level.

• Fire Science and Engineering
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• 제22권1호
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• pp.93-98
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• 2008

Full-scale fire extinguishment tests were conducted to develop loaded stream fire extinguishing systems for protecting underground transmission cables. The dimension of test mock-up was 5.5m height${\times}3m$ width ${\times}6m$ length, and six 154kV OF cables were piled up. Gasoline was used to ignite cates. Linear heat detection cables were installed on top of 154 kV OF cable and discharge nozzles were installed on the top and sidewalls, respectively. As a result, both surface fires and deap-seated fires were extinguished successfully within the specified 3 minutes by discharging loaded stream agent.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 한국방송공학회 2012년도 하계학술대회
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• pp.79-82
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• 2012

컴퓨터 비전에서 영상 매칭 기술은 다양한 분야에 응용될 수 있는 기초적인 기술 중에 하나이다. 강인한 영상 매칭을 위해서는 정확하고 독특한 특징점을 검출하는 과정이 중요하다. 기존의 SIFT나 SURF 등 영상 매칭 알고리즘은 등방성 가우시안 필터링을 사용한 스케일 공간을 생성하여 특징점을 검출한다. 이러한 기존의 특징점 검출 방식은 스케일 공간에서 영상의 경계선을 모호하게 만들어 정확한 특징점 검출을 어렵게 만들고 영상 매칭의 성능을 떨어뜨리는 문제점을 가지고 있다. 본 논문에서는 SIFT 알고리즘의 강인한 특징점 검출을 위하여 양방향 필터링을 사용하여 스케일 공간 생성을 제안한다. 이러한 스케일 공간 생성 방식은 스케일 공간에서 영상의 경계선을 보존해 줌으로서 강인한 특징점 검출을 가능하게 하여 영상 매칭 성능을 향상시킨다. 특히 왜곡이 존재하는 영상들의 매칭에서 제안하는 특징점 검출 방법이 적용된 SIFT 알고리즘은 기존의 SIFT 알고리즘보다 우수한 영상 매칭 결과를 보여준다.