• 한국정보과학회논문지:시스템및이론
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• 제34권10호
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• pp.521-528
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• 2007

본 논문에서는 가상원통을 이용하여 기하학적인 의복시뮬레이션에서 발생하는 의복 3차원모델의 관통을 고속으로 검사하고, 의복 3차원모델을 수정하는 새로운 방법을 제안한다. 의복을 개인 캐릭터에 기하학적으로 맞추는 경우, 의복이 인체를 국부적으로 관통하는 경우가 있다. 본 방법은 인체모델과 의복모델을 둘러싼 가상원통을 설정하고, 가상원통을 이용하여 관통지점의 후보들을 한 번에 압축하여, 후보 중에서 관통지점을 찾는 방법이다. 관통된 부분에서는 의복모델의 꼭지점을 밀어내거나 삼각형을 분할하여, 의복모델을 기하학적으로 수정한다. 이 방법은 바운딩볼륨을 이용하여 반복적으로 관통후보를 압축하는 물리적인 방법에 비해 고속처리가 가능하다.

• 한국정보과학회논문지:시스템및이론
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• 제31권3_4호
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• pp.247-256
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• 2004

본 논문에서는 애니메이션 속도에 무관한 충돌 탐지 알고리즘을 제안한다. 현재까지 개발된 대부분의 충들 탐지 알고리즘들은 점진적(incremental) 알고리즘들로서, 현 시점에서의 가까운 점(근점)을 찾기 위하여 이전 시점의 근점 주위를 먼저 찾는다. 그런데 만일 움직이는 물체가 충돌 반응에 의해서 큰 토크를 받게 된다면 회전 속도가 증가하게 되어, 다음 시점에서의 실제 근점은 현 시점에서의 근점과는 매우 동떨어져 있어 엉뚱한 위치에서 근점을 찾게 되는 단점을 가진다. 그러므로, 최악의 경우에는 각 시점에서 $O(n^2)$, 시간이 소요될 수 있다. 또한 애니메이션 속도에 따라 이러한 점진적 계산 회수가 변하게 되어 전체적인 알고리즘의 소요 시간이 변하게 되는 단점을 가지고 있다. 본 논문에서는 이러한 문제점을 근본적으로 해결하고자 새로운 방법을 제안하고자 한다. 먼저, 기하학 특성을 내포하는 구면 근점 다이아그램을 생성하고, 이를 이용하여 두 물체간의 단일 거리 함수를 생성한다. 충돌 시점을 효율적으로 찾기 위해서 구간 뉴튼 방법을 거리함수에 적용한다.

• 전자공학회논문지CI
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• 제47권1호
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• pp.22-29
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• 2010

비디오 시퀀스에서 움직임 있는 객체의 실시간 검출 및 추적은 스마트 감시 시스템에서 매우 중요한 요소로 분류되고 있다. 본 논문에서 우리는 움직임이 있는 객체의 검출을 위해 클라우지우스 엔트로피와 적응적 가우시안 혼합모델을 사용한 객체 검출 방법을 제안한다. 먼저, 엔트로피의 증가는 일반적으로 불안전한 조건에서 많은 엔트로피의 변화가 발생한 경우 복잡성 및 객체의 움직임이 증가함을 의미한다. 만약 순간적으로 엔트로피 변화가 큰 화소는 움직임 객체에 속한다고 고려하여 움직임 분할 특성을 적용한다. 따라서 우리는 먼저 클라우지우스 엔트로피 이론을 적용하여 엔트로피에 대한 에너지 변화량을 dense 맵으로 변환한다. 두 번째로 우리는 움직임 객체를 검출하기 위해 적응적 가우시안 혼합 모델을 적용하였다. 실험 결과에서 제안된 방법이 효율적으로 움직임이 있는 객체를 검출할 수 있었다.

• Smart Structures and Systems
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• 제5권2호
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• pp.153-171
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• 2009

In this paper, the analytical fault detection and diagnosis (FDD) is presented using model-based and signal-based methodology with wavelet analysis on signals obtained from sensors and sensor networks. In the model-based FDD, we present the modeling of contact interface found in soft materials, including the biomedical contacts. Fingerprint analysis and signal-based FDD are also presented with an experimental framework consisting of a mechanical pneumatic system typically found in manufacturing automation. This diagnosis system focuses on the signal-based approach which employs multi-resolution wavelet decomposition of various sensor signals such as pressure, flow rate, etc., to determine leak configuration. Pattern recognition technique and analytical vectorized maps are developed to diagnose an unknown leakage based on the established FDD information using the affine mapping. Experimental studies and analysis are presented to illustrate the FDD methodology. Both model-based and wavelet-based FDD applied in contact interface and manufacturing automation have implication towards better quality of life by applying theory and practice to understand how effective diagnosis can be made using intelligent FDD. As an illustration, a model-based contact surface technology an benefit the diabetes with the detection of abnormal contact patterns that may result in ulceration if not detected and treated in time, thus, improving the quality of life of the patients. Ultimately, effective diagnosis using FDD with wavelet analysis, whether it is employed in biomedical applications or manufacturing automation, can have impacts on improving our quality of life.

• Journal of Information Science Theory and Practice
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• 제2권4호
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• pp.31-48
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• 2014

The proliferation of many interactive Topic Detection and Tracking (iTDT) systems has motivated researchers to design systems that can track and detect news better. iTDT focuses on user interaction, user evaluation, and user interfaces. Recently, increasing effort has been devoted to user interfaces to improve TDT systems by investigating not just the user interaction aspect but also user and task oriented evaluation. This study investigates the combination of the bag of words and named entities approaches implemented in the iTDT interface, called Interactive Event Tracking (iEvent), including what TDT tasks these approaches facilitate. iEvent is composed of three components, which are Cluster View (CV), Document View (DV), and Term View (TV). User experiments have been carried out amongst journalists to compare three settings of iEvent: Setup 1 and Setup 2 (baseline setups), and Setup 3 (experimental setup). Setup 1 used bag of words and Setup 2 used named entities, while Setup 3 used a combination of bag of words and named entities. Journalists were asked to perform TDT tasks: Tracking and Detection. Findings revealed that the combination of bag of words and named entities approaches generally facilitated the journalists to perform well in the TDT tasks. This study has confirmed that the combination approach in iTDT is useful and enhanced the effectiveness of users' performance in performing the TDT tasks. It gives suggestions on the features with their approaches which facilitated the journalists in performing the TDT tasks.

• 한국음향학회지
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• 제34권4호
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• pp.321-327
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• 2015

본 연구에서는 음성인식기 성능향상을 위한 영상기반 음성구간 검출방법을 제안한다. 기존의 광류기반 방법은 조도변화에 대응하지 못하고 연산량이 많아서 이동형 플렛홈에 적용되는 스마트 기기에 적용하는데 어려움이 있고, 카오스 이론 기반 방법은 조도변화에 강인하지만 차량 움직임 및 입술 검출의 부정확성으로 인해 발생하는 오검출이 발생하는 문제점이 있다. 본 연구에서는 기존 영상기반 음성구간 검출 알고리즘의 문제점을 해결하기 위해 지역 분산 히스토그램(Local Variance Histogram, LVH)과 적응적 문턱값 추정 방법을 이용한 음성구간 검출 알고리즘을 제안한다. 제안된 방법은 조도 변화에 따른 픽셀 변화에 강인하고 연산속도가 빠르며 적응적 문턱값을 사용하여 조도변화 및 움직임이 큰 차량 운전자의 발화를 강인하게 검출할 수 있다. 이동중인 차량에서 촬영한 운전자의 동영상을 이용하여 성능을 측정한 결과 제안한 방법이 기존의 방법에 비하여 성능이 우수함을 확인하였다.

• Current Optics and Photonics
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• 제7권1호
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• pp.1-14
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• 2023

Wavefront-coding imaging can achieve high-quality imaging along with a wide range of defocus. In this paper, the anti-laser detection and damage performance of wavefront-coding imaging systems using different asymmetric phase masks are studied, through modeling and simulation. Based on FresnelKirchhoff diffraction theory, the laser-propagation model of the wavefront-coding imaging system is established. The model uses defocus distance rather than wave aberration to characterize the degree of defocus of an imaging system. Then, based on a given defocus range, an optimization method based on Fisher information is used to determine the optimal phase-mask parameters. Finally, the anti-laser detection and damage performance of asymmetric phase masks at different defocus distances and propagation distances are simulated and analyzed. When studying the influence of defocus distance, compared to conventional imaging, the maximum single-pixel receiving power and echo-detection receiving power of asymmetric phase masks are reduced by about one and two orders of magnitude respectively. When exploring the influence of propagation distance, the maximum single-pixel receiving power of asymmetric phase masks decreases by about one order of magnitude and remains stable, and the echodetection receiving power gradually decreases with increasing propagation distance, until it approaches zero.

• Steel and Composite Structures
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• 제46권3호
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• pp.319-334
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• 2023

Localizing damages is an essential task to monitor the health of the structures since they may not be able to operate anymore. Among the damage detection techniques, non-destructive methods are considerably more preferred than destructive methods since damage can be located without affecting the structural integrity. However, these methods have several drawbacks in terms of detecting abilities, time consumption, cost, and hardware or software requirements. Employing artificial intelligence techniques could overcome such issues and could provide a powerful damage detection model if the technique is utilized correctly. In this study, the crack localization in flat and folded plate structures has been conducted by employing a Backpropagated Artificial Neural Network (BPANN). For this purpose, cracks with 18 different dimensions in thin, flat, and folded structures having 15⁰, 30⁰, 45⁰, and 60⁰ folding angle have been modeled and subjected to free vibration analysis by employing the Classical Plate Theory with Finite Element Method. A Four-nodded quadrilateral element having six degrees of freedom has been considered to represent those structures mathematically. The first ten natural frequencies have been obtained regarding healthy and cracked structures. To localize the crack, the ratios of the frequencies of the cracked flat and folded structures to those of healthy ones have been taken into account. Those ratios have been given to BPANN as the input variables, while the crack locations have been considered as the output variables. A total of 500 crack locations have been regarded within the dataset obtained from the results of the free vibration analysis. To build the best intelligent model, a feature search has been conducted for BAPNN regarding activation function, the number of hidden layers, and the number of hidden neurons. Regarding the analysis results, it is concluded that the BPANN is able to localize the cracks with an average accuracy of 95.12%.

• 대한기계학회논문집A
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• 제24권4호
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• pp.1001-1006
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• 2000

To verify the existing theory, non-propagating crack(NPC) does not exist in Ti which fulfills the good conditions for being of NPC, NPC detection in Ti was tried out. Also, the conception of fatigue limit in Ti and a main cause for NPC being were inquired. NPC was detected in both sharp notch root ( $\rho$=0.02mm) and micro pit (diameter = 0.25mm) which held fast to the end under stressing of fatigue limit. Therefore, the existing theory was identified as mistake. But, NPC can not be detected in smooth specimen. This fact would be due to the presumption that NPC is very small or crack does not initiate in smooth specimen. Anyway, the fatigue limit of Ti does not correspond to critical stress of crack initiation but correspond to critical stress of NPC growth. Measurement on the COD of NPC in Ti showed that the crack tip was closed even under the peak stress level at fatigue limit. But, after stress relieving annealing crack tip was opened. Consequently, compressive residual stress which is induced around the crack tip is considered to be the factor causing the NPC being.

• Structural Engineering and Mechanics
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• 제31권3호
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• pp.333-347
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• 2009

Due to structural complicacy, structural health monitoring for civil engineering needs more accurate and effectual methods of damage identification. This study aims to import multi-source information fusion (MSIF) into structural damage diagnosis to improve the validity of damage detection. Firstly, the essential theory and applied mathematic methods of MSIF are introduced. And then, the structural damage identification method based on multi-mode information fusion is put forward. Later, on the basis of a numerical simulation of a concrete continuous box beam bridge, it is obviously indicated that the improved modal strain energy method based on multi-mode information fusion has nicer sensitivity to structural initial damage and favorable robusticity to noise. Compared with the classical modal strain energy method, this damage identification method needs much less modal information to detect structural initial damage. When the noise intensity is less than or equal to 10%, this method can identify structural initial damage well and truly. In a word, this structural damage identification method based on multi-mode information fusion has better effects of structural damage identification and good practicability to actual structures.