• 한국지능시스템학회논문지
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• 제13권4호
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• pp.480-485
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• 2003

인쇄회로기판을 조립하는 SMT (surface mount technology) 라인의 AOI (automatic optical inspection) 형 검사기를 대상으로, 검사시간 단축을 위한 경로계획 방법을 제안한다. 기판에 존재하는 검사 윈도우들은 카메라의 FOV (field-of-view) 크기를 고려하여 클러스터링 되어야 하며, 전체 검사시간의 단축을 위하여 클러스터의 수를 최소화하는 것이 바람직하다. 주어진 기판에 대한 클러스터의 수를 최소화하기 위한 유전자 알고리즘을 새로이 제안하며, 이를 사용한 효과적 경로계획 방법을 제시한다. 상용 검사기를 대강으로 시뮬레이션을 수행하며, 비교 평가를 통하여 제안된 방법의 유용성을 검증한다.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1088-1098
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• 2020

This paper proposes an obstacle avoidance method using a depth polar grid. Depth information is a crucial factor for determining the safe path for collision-free navigation of unmanned aerial vehicles (UAVs) as it can perceive the distance to the obstacles effectively. However, the existing depth-camera-based approaches for obstacle avoidance require computational y expensive path planning algorithms. We propose a simple navigation method using the polar-grid of the depth information obtained from the camera with narrow field-of-view(FOV). The effectiveness of the approach was validated by a series of experiments using software-in-the-loop simulation in a realistic outdoor environment. The experimental results show that the proposed approach successfully avoids obstacles using a single depth camera with limited FOV.

• 대한방사선기술학회지:방사선기술과학
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• 제19권1호
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• pp.89-94
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• 1996

Misalignment between the electronic and mechanical axes of rotation will result in artifact generation and image degradation during single photon emission computed tomography(SPECT) reconstruction. Acceptance and quality control testing procedures have not emphasized the variability in center of rotation(COR) measurements caused by collimators and the need to verify uniformity across the full collimator field of view (FOV). Variation from the mean COR across the FOV was tested in four different collimators using multiple point source acquisitions. The mean COR was different for each collimator and one of the four had a > 0.5 pixel difference from the mean COR on some area of the FOV, This variation makes this collimator unacceptable for SPECT acquisition. Thus, initial acceptance testing of SPECT collimators should verify a uniform COR across the full FOV and collimators with a variability from the mean COR > 0.5 pixels should be rejected.

• 제어로봇시스템학회논문지
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• 제4권3호
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• pp.378-383
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• 1998

A FOV, that stands for "Field Of View", refers to the maximum area where a camera could be wholly seen. If a FOV of CCD camera cannot the cover overall inspection area, the overall inspection area should be divided into sub-areas of size FOV. In this paper, we propose a new neural network-based FOV generation method by using a newly modified self-organizing map(SOM) which has multiple structure based on a self-organizing map, and uses new training rule that is composed of the movement, creation and deletion terms. Then, experiment results using real PCB indicate the superiority of the method developed in this study to the existing sequential method.al method.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2002년도 한국우주과학회보 제11권2호
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• pp.71-71
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• 2002

• 한국방사선학회논문지
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• 제15권7호
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• pp.975-982
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• 2021

본 연구는 체내의 식도용 스텐트와 일플란트에 많이 사용되는 티타늄 성분의 금속성 물질을 사용하여 구리와 black metal, polyester로 구성된 머리카락 보다 가늘게 제작된 mesh로 시험관을 부분적으로 RF를 차폐하여 주변에 위치한 자기공명영상용 팬텀에 미치는 영향을 평가하고자 하였다. 3T Achieva X-series의 Cardiac Coil을 사용하여 TR 500 ms, TE 20 ms, NEX 1, slice thickness 5 mm의 Spin Echo T1강조영상에서 field of view(FOV)에 따른 자기공명영상을 분석하였다. FOV 304 mm × 304 mm에서는 발생하지 않았던 aliasing artifact가 발생하지 않았지만 250 mm × 250 mm 과 170 mm × 170 mm에서는 발생되었다. FOV 170 mm × 170 mm에서 mesh를 사용하지 않은 경우는 SNR이 78.23으로 가장 낮았으며, mesh를 가운데 세워 분리한 경우에는 215.05, mesh로 완전히 차폐한 경우에는 366.44로 높게 측정되었다. 또한 mesh로 완전히 감싸고 차폐한 경우에는 aliasing artifact도 제거되었고, 영상의 왼쪽과 가운데, 오른쪽의 신호 대 잡음비가 높으면서 다른 조건과 비교하여 균질한 영상을 획득할 수 있었다. 결론적으로 mesh로 RF를 부분적으로 감싸고 차단하면 aliasing artifact를 제거할 수 있고, 작은 FOV를 사용하여 영상의 해상도와 균질성이 우수한 자기공명영상을 획득할 수 있을 것으로 사료된다.

• 제어로봇시스템학회논문지
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• 제8권2호
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• pp.120-125
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• 2002

An optimization approach is used to partition the field of view. A cost function is defined to represent the constraints on the solution, which is then mapped onto a two-dimensional Hopfield neural network for minimization. Each neuron in the network represents a possible match between a field of view and one or multiple objects. Partition is achieved by initializing each neuron that represents a possible match and then allowing the network to settle down into a stable state. The network uses the initial inputs and the compatibility measures between a field of view and one or multiple objects to find a stable state.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 추계학술대회논문집A
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• pp.667-672
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• 2001

An optimization approach is used to partition the field of view. A cost function is defined to represent the constraints on the solution, which is then mapped onto a two-dimensional Hopfield neural network for minimization. Each neuron in the network represents a possible match between a field of view and one or multiple objects. Partition is achieved by initializing each neuron that represents a possible match and then allowing the network to settle down into a stable state. The network uses the initial inputs and the compatibility measures between a field of view and one or multiple objects to find a stable state.

• Imaging Science in Dentistry
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• 제48권4호
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• pp.245-254
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• 2018

Purpose: To assess the effects of object position in the field of view (FOV) and application of a metal artifact reduction (MAR) algorithm on the diagnostic accuracy of cone-beam computed tomography (CBCT) for the detection of vertical root fractures(VRFs). Materials and Methods: Sixty human single-canal premolars received root canal treatment. VRFs were induced in 30 endodontically treated teeth. The teeth were then divided into 4 groups, with 2 groups receiving metal posts and the remaining 2 only having an empty post space. The roots from different groups were mounted in a phantom made of cow rib bone, and CBCT scans were obtained for the 4 different groups. Three observers evaluated the images independently. Results: The highest frequency of correct diagnoses of VRFs was obtained with the object positioned centrally in the FOV, using the MAR algorithm. Peripheral positioning of the object without the MAR algorithm yielded the highest sensitivity for the first observer (66.7%). For the second and third observers, a central position improved sensitivity, with or without the MAR algorithm. In the presence of metal posts, central positioning of the object in the FOV significantly increased the diagnostic sensitivity and accuracy compared to peripheral positioning. Conclusion: Diagnostic accuracy was higher with central positioning than with peripheral positioning, irrespective of whether the MAR algorithm was applied. However, the effect of the MAR algorithm was more significant with central positioning than with peripheral positioning of the object in the FOV. The clinical experience and expertise of the observers may serve as a confounder in this respect.

• Imaging Science in Dentistry
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• 제50권2호
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• pp.141-151
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• 2020

Purpose: This study aimed to quantify the influence of tooth position within the field-of-view (FOV) on cone-beam computed tomography (CBCT) imaging artifacts' intensity when assessing teeth restored with various intracanal materials. Materials and Methods: Seventy single-rooted teeth were divided into 7 groups (10 teeth per group): NiCr post (NC), AgPd post (AP), metal core fiberglass post (MCFG), fiberglass post (FG), anatomical fiberglass post (AFG), fiberglass post cemented with core build-up cement (FGCo), and anatomical fiberglass post cemented with core build-up cement (AFGCo). All posts were cemented using a regular dual-curing resin cement (Allcem), except FGCo and AFGCo which were cemented with a core build-up dual-curing resin cement (AllcemCore). Each tooth was scanned on a CS9000 in 5 positions within the FOV: a central position, anterior horizontal peripheral, peripheral superior, peripheral inferior, and posterior horizontal peripheral position. Hyperdense, hypodense, remaining teeth areas and ROI areas were quantitatively analyzed using ImageJ software. Results: Posterior horizontal peripheral position increased the intensity of artifacts on FGCo and AFGCo post groups (P<0.05), and specifically the hypodense artifact intensity on FG and AFG post groups (P<0.05). NC and AP groups presented greater intensity of artifacts than any other post groups(P<0.05). Conclusion: Artifact intensity increases in the presence of high atomic number materials and when the object is not centered within the FOV. The impact of positioning within the FOV on artifact was greater for fiberglass posts cemented with core build-up dual-curing cement than for metal posts and fiberglass posts cemented with regular dual-curing cement.