• Smart Structures and Systems
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• 제22권2호
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• pp.201-207
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• 2018

This paper proposes a line laser thermography scanning (LLTS) system for multiple crack evaluation on a concrete structure, as the core technology for unmanned aerial vehicle-mounted crack inspection. The LLTS system consists of a line shape continuous-wave laser source, an infrared (IR) camera, a control computer and a scanning jig. The line laser generates thermal waves on a target concrete structure, and the IR camera simultaneously measures the corresponding thermal responses. By spatially scanning the LLTS system along a target concrete structure, multiple cracks even in a large scale concrete structure can be effectively visualized and evaluated. Since raw IR data obtained by scanning the LLTS system, however, includes timely- and spatially-varying IR images due to the limited field of view (FOV) of the LLTS system, a novel time-spatial-integrated (TSI) coordinate transform algorithm is developed for precise crack evaluation in a static condition. The proposed system has the following technical advantages: (1) the thermal wave propagation is effectively induced on a concrete structure with low thermal conductivity of approximately 0.8 W/m K; (2) the limited FOV issues can be solved by the TSI coordinate transform; and (3) multiple cracks are able to be visualized and evaluated by normalizing the responses based on phase mapping and spatial derivative processes. The proposed LLTS system is experimentally validated using a concrete specimen with various cracks. The experimental results reveal that the LLTS system successfully visualizes and evaluates multiple cracks without false alarms.

• 한국음향학회지
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• 제20권3호
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• pp.3-7
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• 2001

CW (Continuous Wave) 신호를 사용하는 능동형 소나에서 잔향을 포함한 잡음의 특성이 백색 (white)이 아닌 경우 일정 오경보 확률 처리 (CFAR: Constant False Alarm Rate)를 수행할 때 잔향 부근에서 높은 문턱치를 추정하게 된다. 이로 인해 표적을 검출하지 못하며. 근접한 다중 표적을 구분하지 못하는 단점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위한 적응 잔향 제거 필터를 제안하였다. 제안된 필터는 적응 필터와 이 필터로부터 일정한 시간 차를 두고 계수 값을 복제해 쓰는 필터로 구성된다. 능동형 소나가 움직이는 수중 환경에서 수집된 실측 데이터를 이용하여 제안된 적응 잔향 제거 필터의 성능을 고찰하였다. 그 결과 제안된 방법은 기존의 방법에 비해 표적 신호 구간이 긴 경우 향상된 성능을 나타내었다.

• 한국군사과학기술학회지
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• 제15권5호
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• pp.687-698
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• 2012

LADAR systems can rapidly acquire 3D point clouds by sampling the target surfaces using laser pulses. Such point clouds are widely used for diverse applications such as DSM/DTM generation, forest biomass estimation, target detection, wire avoidance and so on. Many kinds of LADAR systems have been developed with their respective purposes and applications. Particularly, Geiger mode imaging LADAR systems are increasingly utilized since they are energy efficient thank to extremely sensitive detectors incorporated into the systems. The purpose of this research is the performance assessment of a Geiger mode imaging LADAR system based on simulation with the real system parameters. We thus developed a simulation method of such a LADAR system by modeling its geometric, radiometric, optic and electronic aspects. Based on the simulation, we performed the performance assessment of a newly designed system to derive the outlier ratio and false alarm rate expected during its operation in almost real environment with reasonable system parameters. The proposed simulation and performance assessment method will be effectively utilized for system design and optimization, and test data generation.

• Journal of Electrical Engineering and Technology
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• 제11권4호
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• pp.848-859
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• 2016

System failures in thermal power plants (TPPs) can lead to serious losses because the equipment is operated under very high pressure and temperature. Therefore, it is indispensable for alarm systems to inform field workers in advance of any abnormal operating conditions in the equipment. In this paper, we propose a clustering-based fault detection method for steam boiler tubes in TPPs. For data clustering, k-means algorithm is employed and the number of clusters are systematically determined by slope statistic. In the clustering-based method, it is assumed that normal data samples are close to the centers of clusters and those of abnormal are far from the centers. After partitioning training samples collected from normal target systems, fault scores (FSs) are assigned to unseen samples according to the distances between the samples and their closest cluster centroids. Alarm signals are generated if the FSs exceed predefined threshold values. The validity of exponentially weighted moving average to reduce false alarms is also investigated. To verify the performance, the proposed method is applied to failure cases due to boiler tube leakage. The experiment results show that the proposed method can detect the abnormal conditions of the target system successfully.

• Journal of information and communication convergence engineering
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• 제21권4호
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• pp.322-328
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• 2023

The number of senior citizens with large bowel obstruction is steadily growing in Korea. Plain radiography was used to examine the severity and treatment of this phenomenon. To avoid examiner subjectivity in radiography readings, we propose an automatic segmentation method to identify fluid-filled areas indicative of large bowel obstruction. Our proposed method applies the Hough transform to locate suspicious areas successfully and applies the possibilistic fuzzy c-means unsupervised learning algorithm to form the target area in a noisy environment. In an experiment with 104 real-world large-bowel obstruction radiographs, the proposed method successfully identified all suspicious areas in 73 of 104 input images and partially identified the target area in another 21 images. Additionally, the proposed method shows a true-positive rate of over 91% and false-positive rate of less than 3% for pixel-level area formation. These performance evaluation statistics are significantly better than those of the possibilistic c-means and fuzzy c-means-based strategies; thus, this hybrid strategy of automatic segmentation of large bowel suspicious areas is successful and might be feasible for real-world use.

• 수산해양기술연구
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• 제39권4호
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• pp.347-357
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• 2003

연근해 소형 어선에 널리 탑재되어 있는 소형 레이더 장치에 radar target extractor를 인터페이스하여 레이더 선호를 수록, 처리 및 해석하기 위한 PC based radar system 을 구축하고, cell averaging CFAR 처리장치를 통해 실제의 레이더 echo 신호를 처리하여 오경보 확률의 설정치 변화에 따른 echo영상의 변화패턴을 레이더 스코프상에서 직접 비교, 분석한 결과 및 레이더 영상신호의 음영구역의 발생대역폭을 추정한 결과를 요약하면 다음과 같다. 1. 레이더 선호의 해석을 통해 추출된 표적의 운동벡터 및 방위, 거리, 속력, CPA, TCPA 등과 같은 ARPA 정보를 실시간으로 이동 궤적과 함께 PC 모니터상에 구현하고 있기 때문에 소형 레이더 시스템에 이 장치를 부착하면 저가의 비용으로써 ARPA 정보의 취득이 기능하다. 2. ideal threshold 에 의한 표적검출성능을 개선시키기 위해 cell averaging CFAR processor 의 CUT전후에 각각 3 개의 guard cell과 이 cell의 좌$.$우측에 각각 20개씩, 총 40개의의 reference cell를 설치하여 레이더의 video 신호를 입벽한 후, 오경보 확률 10$\^$-0.25/∼10$\^$-1.0/의 범위에 대하여 설정치를 점차증가시켜 갈 때, 레이더 영상신호는 10$\^$-0.75/ 의 설정치에서 가장 양호한 clutter 제거효과를 나타내었다. 3. 레이더 스코프상에서 영상신호를 관찰하면서 cell averaging CFAR 의 오경보 확률을 적정하게 제어하면 지금까지의 ideal threshold level 에 의한 잡음억제기법에서 나타나는 선박영상의 과도한 레벨약화현상을 보완할 수 있을 것으로 판단한다. 4. 부산 용호만에 정박중인 예인선의 레이더 신호를 해석하여 영상의 음영패턴과 음영 대역폭을 추정한 결과, 예인선의 유효높이는 약 1.2 m 이었고, 이들 음영효과의 정량적 해석을 통한 해상표적의 형상정보는 향후 3차원 레이더 영상을 구현하는 데 그 기초자료가 될 것으로 판단된다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.890-895
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• 2004

This paper describes constant alarm rates process of millimeter wave radar that exits on non-stationary target detection schemes in the ground clutter conditions. The comparison of various CFAR processes such as CA(Cell-Average)-CFAR, GO(Greatest Of)/SO(Smallest Of)-CFAR and OS(Order Statistics)-CFAR performance are applied. Using matlab software, we show the performance and loss between detection probability and signal to noise ratio. When rang bins increase, this results show the OS-CFAR process performance is better than any others and satisfies the optimal detection probability without loss of detection in the homogeneous clutter.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권4호
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• pp.2171-2195
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• 2017

When purchasing an online product, a customer tends to be influenced strongly by its reputation, the aggregation of other customers' ratings on it. The reputation, however, is not always trustable since it can be manipulated easily by attackers who intentionally give unfair ratings to their target products. In this paper, we first address identifying trustable users who tend to give fair ratings to products in online rating systems and then propose a method of computing true reputation of a product by aggregating only those trustable users' ratings. In order to identify the trustable users, we list some candidate features that seem related significantly to the trustworthiness of users and verify the robustness of each of the features through extensive experiments. By finding and exploiting these robust features, we are able to identify trustable users and to compute true reputation effectively and efficiently based on fair ratings of those trustable users.

• 품질경영학회지
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• 제30권2호
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• pp.99-117
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• 2002

Variable sampling interval(VSI) and variable sample size(VSS) control charts vary the sampling rate for the next sample depending on the current chart statistic. This paper develops EWMA charts with the VSI and VSS features, and investigates the effectiveness of these charts in context of an economic model. The economic properties of these charts are evaluated by using Markov chain methods. The model contains cost parameters which allow the specification of the costs associated with sampling, false alarms, and operating off target. This economic model can be used to quantify the cost saving that can be obtained by using control charts with the VSI and VSS features instead of with the fixed sampling rate(FSR) feature, and can also be used to gain insight into the way that control charts with the VSI and VSS features should be designed to achieve optimal economic performance. The economic performance of X charts with the VSI and VSS features is also considered.

• 자동차안전학회지
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• 제5권1호
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• pp.5-10
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• 2013

This paper describes a Forward Collision Warning (FCW) system based on the radar driven fusion with camera. The objective of FCW system is to provide an appropriate alert with satisfying the evaluation scenarios of US-NCAP and a driver acceptance. For this purpose, this paper proposed a data fusion algorithm and a collision warning algorithm. The data fusion algorithm generates information of fusion target depending on the confidence of camera sensor. The collision warning algorithm calculates indexes and determines an appropriate alert-timing by using analysis results of manual driving data. The FCW system with the proposed data fusion and collision warning algorithm was investigated via scenarios of US-NCAP and a real-road driving. It is shown that the proposed FCW system can improve the accuracy of an alarm-timing and reduce the false alarm in real roads.