• IEIE Transactions on Smart Processing and Computing
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• 제6권4호
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• pp.253-261
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• 2017

In this paper, a corner detection method based on a new non-cornerness measure is presented. Rather than evaluating local gradients or surface curvatures, as done in previous approaches, a non-cornerness function is developed that can identify stable corners by testing an image region against a set of desirable corner criteria. The non-cornerness function is comprised of two steps: 1) eliminate any pixel located in a flat region and 2) remove any pixel that is positioned along an edge in any orientation. A pixel that passes the non-cornerness test is considered a reliable corner. The proposed method also adopts the idea of non-maximum suppression to remove multiple corners from the results of the non-cornerness function. The proposed method is compared with previous popular methods and is tested with an artificial test image covering several corner forms and three real-world images that are universally used by the community to evaluate the accuracy of corner detectors. The experimental results show that the proposed method outperforms previous corner detectors with respect to accuracy, and that it is suitable for real-time processing.

• 대한전자공학회논문지SP
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• 제37권3호
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• pp.11-16
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• 2000

본 논문에서는 미세주사장치를 이용하는 이차원배열 적외선 검출기의 불균일 출력특성 보정을 위한 배경 신호 기반의 디지털방식 실시간 보정 기법을 제안한다 기존의 배경기반 불균일 보정 알고리즘은 영상의 움직임을 전제로 하가 때문에 정지영상에 적용하는 경우 영상이 흐려지면서 사라지는 현상이 나타난다 제안된 기법에서는 미세주사 효과와 변형된 Scribner의 알고리즘을 이용하여 이러한 문제점을 해결하고 영상의 불균일을 실시간으로 보정하였다 컴퓨터 모의실험과 하드웨어 시험을 통해 제안된 기법은 동영상뿐만 아니라 정지영상에서도 뛰어난 성능을 보임을 입증하였다.

• 한국컴퓨터정보학회논문지
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• 제21권12호
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• pp.35-41
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• 2016

In this paper, we propose a new real-time dead pixel detection method based on spatial compare filtering, which are usually used in the small target detection. Actually, the soft dead and the small target are cast in the same mold. Our proposed method detect and remove the dead pixels as applying the spatial compare filtering, into the pixel outputs of a detector after the non-uniformity correction. Therefore, we proposed method can effectively detect and replace the dead pixels regardless of the non-uniformity correction performance. In infrared camera, there are usually many dead detector pixels which produce abnormal output caused by manufactural process or operational environment. There are two kind of dead pixel. one is hard dead pixel which electronically generate abnormal outputs and other is soft dead pixel which changed and generated abnormal outputs by the planning process. Infrared camera have to perform non-uniformity correction because of structural and material properties of infrared detector. The hard dead pixels whose offset values obtained by non-uniformity correction are much larger or smaller than the average can be detected easily as dead pixels. However, some dead pixels(soft dead pixel) can remain, because of the difficulty of uncleared decision whether normal pixel or abnormal pixel.

• Journal of Mechanical Science and Technology
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• 제15권8호
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• pp.1090-1096
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• 2001

In this paper, new methods for efficiently solving linear acceleration equations of multibody dynamic simulation exploiting sparsity for real-time simulation are presented. The coefficient matrix of the equations tends to have a large number of zero entries according to the relative joint coordinate numbering. By adequate joint coordinate numbering, the matrix has minimum off-diagonal terms and a block pattern of non-zero entries and can be solved efficiently. The proposed methods, using sparse Cholesky method and recursive block mass matrix method, take advantages of both the special structure and the sparsity of the coefficient matrix to reduce computation time. The first method solves the η$\times$η sparse coefficient matrix for the accelerations, where η denotes the number of relative coordinates. In the second method, for vehicle dynamic simulation, simple manipulations bring the original problem of dimension η$\times$η to an equivalent problem of dimension 6$\times$6 to be solved for the accelerations of a vehicle chassis. For vehicle dynamic simulation, the proposed solution methods are proved to be more efficient than the classical approaches using reduced Lagrangian multiplier method. With the methods computation time for real-time vehicle dynamic simulation can be reduced up to 14 per cent compared to the classical approach.

• 한국통신학회논문지
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• 제38A권7호
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• pp.603-611
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• 2013

본 논문은 Self-Organizing Time Division Multiple Access (SO-TDMA) 기반의 MAC 프로토콜을 사용하는 다중-홉 해양통신망에서 비실시간 서비스뿐만 아니라 종단간 지연시간 품질을 보장해야 하는 실시간 서비스를 통합적으로 지원하기 위한 새로운 프레임 구조를 제안하고, 실시간 트래픽의 부하에 따라 적응적으로 자원을 분배하는 방안을 제시한다. 실시간 사용자의 평균 불능 성능을 보장하기 위한 자원 할당을 통해 동적으로 프레임 구조를 제어하는 방안을 제시한다. 한편, 이를 위한 평균 불능 확률을 수학적으로 분석하고, 이에 따라 결정된 프레임 구조에 대해서 실시간 서비스의 품질을 시뮬레이션을 통해 검증한다.

• 대한산업공학회지
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• 제31권2호
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• pp.120-126
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• 2005

Until now, the traditional production models and logistics have developed a broader strategic approach called supply chain. However, there are some obstacles to apply industry practice because of unrealistic assumptions. The most serious of them is that they assume the lead times are integer multiples of the planning time grid. This assumption makes it difficult to express the processing and transportation lags correctly. Thus, in this paper, we propose a new methodology for the integrated production/distribution model having non-integer time lags using the concept of dynamic production function. In case that the time lags are integer or non-integer, the dynamic production function reflects well the situation under given environments. Experiments show that the proposed model can express the real system more accurately than the prior model can.

• Journal of Microbiology and Biotechnology
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• 제22권9호
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• pp.1301-1306
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• 2012

We combined real-time RT-PCR and real-time PCR (R/P) assays using a hydrolysis probe to detect Mycobacterium tuberculosis complex (MTBC)-specific 16S rRNA and its rRNA gene (rDNA). The assay was applied to 28 non-respiratory and 207 respiratory specimens from 218 patients. Total nucleic acids (including RNA and DNA) were extracted from samples, and results were considered positive if the repeat RT-PCR threshold cycle was ${\leq}35$ and the ratio of real-time RT-PCR and real-time PCR load was ${\geq}1.51$. The results were compared with those from existing methods, including smear, culture, and real-time PCR. Following resolution of the discrepant results between R/P assay and culture, the overall sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV) of all samples (including non-respiratory and respiratory specimens) were 98.2%, 97.2%, 91.7%, and 99.4%, respectively, for R/P assay, and 83.9%, 89.9%, 72.3%, and 94.7%, respectively, for real-time PCR. Furthermore, the R/P assay of four patient samples showed a higher ratio before treatment than after several days of treatment. We conclude that the R/P assay is a rapid and accurate method for direct detection of MTBC, which can distinguish viable and nonviable MTBC, and thus may guide patient therapy and public health decisions.

• International Journal of Korean Welding Society
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• 제3권2호
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• pp.53-59
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• 2003

Visual inspection using laser vision sensor was proposed for fast and economic inspection and was verified experimentally. Welding is one of the most important manufacturing processes for automotive and electronics industries as well as heavy industries. The weld zone influences the reliability of the products. There are two kinds of weld inspection tests, destructive and non­destructive test. Even though the destructive test is much more reliable, the product should be destroyed, and hence the non­destructive test such as ultrasonic or X­ray test was used to overcome this problem. However, these tests are not used for real time inspection.

• 한국지반공학회지:지반
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• 제26권9호
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• pp.33-47
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• 2010

Underground constructions continue to provide challenges to Geotechnical Engineers yet they pose the best opportunities for development and deployment of advance technologies for analysis, design and construction. The reason for this is that, by virtue of the nature of underground constructions, more data and information on ground characteristics and response become available as the construction progresses. However, due to several barriers, these data and information are rarely, if ever, utilized to modify and improve project design and construction during the construction stage. To enable the use of evolving realtime data and information, and adaptively modify and improve design and construction, the paper presents an analysis and design system, called AMADEUS, for underground projects. AMADEUS stands for Adaptive, real-time and geologic Mapping, Analysis and Design of Underground Space. AMADEUS relies on recent advances in IT (Information Technology), particularly in digital imaging, data management, visualization and computation to significantly improve analysis, design and construction of underground projects. Using IT and remote sensors, real-time data on geology and excavation response are gathered during the construction using non-intrusive techniques which do not require expensive and time-consuming monitoring. The real-time data are then used to update geological and geomechanical models of the excavation, and to determine the optimal, construction sequences and stages, and structural support. Virtual environment (VE) systems are employed to allow virtual walk-throughs inside an excavation, observe geologic conditions, perform virtual construction operations, and investigate stability of the excavation via computer simulation to steer the next stages of construction.

• 한국컴퓨터그래픽스학회논문지
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• 제6권4호
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• pp.9-14
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• 2000

수작업으로 이루어지는 셀 애니메이션에 툰 렌더링과 같은 비사실적 렌더링 기법을 사용하면 더 적은 노력으로 훨씬 높은 화질의 영상을 얻어낼 수가 있다. 이와 같은 이유로 오늘날 툰 렌더링은 셀 애니메이션 영상산업에서 많이 사용되고 있다. 그러나 기존의 툰 렌더링 방법들에 의한 영상생성은 실시간 처리에 한계가 있어서 가상현실, 게임과 같은 즉각적인 반응을 필요로 하는 분야에서는 사용할 수가 없었다. 본 논문에서는 이와 같은 한계를 극복하여 다양한 분야로의 확장사용이 가능하도록 실시간 윤곽선 검출과 퐁 쉐이딩을 통해 실시간으로 수행되는 툰 렌더링을 구현하였다. 또한 빠른 그림자 생성 알고리즘을 사용해 장면에 그림자를 추가시킴으로써 여전히 실시간 수행이 가능하면서도 효과적인 결과 영상을 생성하였다.