• 한국음향학회지
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• 제36권1호
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• pp.49-56
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• 2017

본 논문에서는 활 형상 배열의 빔패턴 주파수 특성을 이용하여 허위표적을 제거함으로써 좌 우 구분 성능을 개선하는 방법을 제안한다. 방위각을 시간 축으로 변환하여 실 표적과 허위표적을 각각 고주파수와 저주파수 성분으로 간주한다. 허위표적의 후엽 빔 폭을 이용하여 허위표적 제거용 고역 통과 필터를 설계한다. 전체 빔형성기 출력 파워를 설계한 고역 통과 필터에 통과시켜 허위표적을 제거하여 실 표적을 추출한다. 전산 모의실험에서 제안된 방법의 적용 전후를 비교 분석하여 제안된 방법이 평균 8 dB 이상 허위표적을 감쇄시키는 것을 보였다.

• 한국의학물리학회지:의학물리
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• 제25권1호
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• pp.53-63
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• 2014

본 연구에서는 호흡 동조 구동 팬톰을 이용하여 5가지의 호흡패턴에 따른 4DCT와 Slow-CT의 내부표적체적(ITV) 변화를 비교 분석하였다. 각 호흡패턴마다 호흡주기 1~4초와 표적 진폭 1~3 cm를 적용하여 4DCT와 Slow-CT를 각 3회 촬영하였다. 촬영한 영상들은 Eclipse 치료계획 시스템으로 표적을 윤곽 묘사하고 내부표적체적(ITV) 길이와 체적을 측정하였으며, 4DCT, Slow-CT의 ITV 길이와 체적의 평균값을 이론값과 비교하여 분석하였다. 4DCT에서의 ITV 길이와 체적은 호흡주기가 길수록, 표적 진폭이 짧을수록 이론값과의 차이가 감소하는 경향을 보였다. Slow-CT에서는 표적 진폭이 커질수록 4DCT와 마찬가지로 이론값과의 차이가 커졌으나 호흡주기에 따른 ITV 길이와 체적의 변화는 호흡주기 1초에서 가장 이론값 비슷하였고 2~4초 내에서는 재현성의 변화가 근소했다. 호흡패턴에 따라서는 4DCT, Slow-CT 모두 ITV 길이와 체적에 대해 A패턴에서 가장 높은 재현성을 보였고, B, C, D패턴은 서로 비슷한 차이를 보였으며 E패턴은 다른 네 패턴에 비해 이론값과의 차이가 가장 컸다. 4DCT에 대한 Slow-CT의 ITV 길이와 체적의 차이는 모든 호흡패턴에 대하여 호흡주기가 길수록, 표적 진폭이 클수록 증가하였다. 4DCT와 Slow-CT 영상간의 ITV 길이 및 체적에 대한 재현성을 비교했을 때 Slow-CT가 4DCT에 비해 평균적으로 약 22% 낮았으며, 호흡패턴에 따라 상, 하 방향에 대해 표적의 재현성이 달라졌다. A, B, C패턴의 경우 상, 하 방향으로 3 mm, E패턴은 상 방향에 비해 하 방향에서 5 mm의 차이를 보인 반면에 D패턴에서는 상 방향으로는 차이가 없었으나 하 방향으로 1.45 cm의 차이가 났다. 따라서 4DCT에 대하여 Slow-CT에 표적 움직임을 고려한 여유를 설정할 경우에는 호흡패턴에 따라 상, 하 방향에 다른 여유를 정의해야 한다고 판단된다. 향후 환자의 호흡신호를 바탕으로 CT 영상을 분석할 때 본 연구에서 수행한 데이터가 유용하게 사용될 것으로 사료된다.

• 한국생산제조학회지
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• 제21권1호
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• pp.58-64
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• 2012

Instead of the surface pattern arranged repeatedly in two axial direction on a plane, we propose double patterns superposing two one-axial linear patterns as a reference target for surface encoding. A upper layer of the superposed pattern is the transparent glass with grooves cut in it at a fixed pitch. The position is sensed by detecting a shift of beam due to difference of a refractive index. And a lower layer is the aluminum with color-coated grooves. The amount of beam reflected on the layer varies according to its targeting position and is detected for encoding. For the above reference pattern, we can detect two-axial positions using only the single beam. Furthermore, the pattern size can be expanded with a size of the detector kept constant, meaning that the measured range can be expanded easily. In this paper, we review the existing optical encoding methods for grid pattern, and discuss the hardware implementation of the suggested surface encoding method.

• 한국진공학회지
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• 제4권2호
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• pp.172-176
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• 1995

$YBa_2Cu_3O_{7-y}$ thin films have been prepared on MgO(100)substrates placed on-axis to the target by dc magnetron sputtering in a variety of oxygen/argon gas pressures with different substrate-target distances. We found that films with the c-axis perpendicular to the substrate deposited in an optimally high gas pressure with on-axis substrate-target configuration do. Increasing the substrate-target distance was found to be effetive in reducing the resputtering effect and enhancing superconductivity of films, but not so much $\alpha$-and c-axis growth of YMCO films on MgO substrates. Dependences of the Tc, the rationj of resistances at 300K and 100K, and the X-ray diffraction pattern on the gas pressure and the substrate target distance are described.

• 한국멀티미디어학회논문지
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• 제21권9호
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• pp.1062-1067
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• 2018

Conventional active sonar technology has relied heavily on the hearing of sonar operator, but recently, many techniques for automatic detection and classification have been studied. In this paper, we extract the image data from the spectrogram of the active sonar signal and classify the extracted data using CNN(convolutional neural networks), which has recently presented excellent performance improvement in the field of pattern recognition. First, we divided entire data set into eight classes depending on the ratio containing the target. Then, experiments were conducted to classify the eight classes data using proposed CNN structure, and the results were analyzed.

• 한국군사과학기술학회지
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• 제16권4호
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• pp.441-448
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• 2013

This paper describes the development of Target Simulator developed for performance test and failure detection of Imaging Infra-Red(IIR) seeker which is one of the most important equipments in specific cruise missile systems. The simulator makes it possible to test detecting and tracking performance for target, uniformity of IIR, FOV status and spatial resolving power. Besides, it includes several self-test functions and optic axis alignment methods to improve its own reliability.

• 한국해양공학회지
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• 제28권5호
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• pp.429-439
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• 2014

The target echoes contain information on the target such as the orientation, kinematics, and internal structure, as well as the external geometrical shape of the target. In addition, the pattern of the target echoes depends on the arrangement of the transmitters and receivers in space. Therefore, the study of the target echoes in a multi-static SONAR system can be useful for detecting and tracking submerged objects using an underwater surveillance system. For this purpose, an acoustic measuring system for multi-static target echoes was designed and tested in an acoustic water tank. Some preliminary data are presented and discussed.

• Journal of Animal Science and Technology
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• 제63권4호
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• pp.854-863
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• 2021

Weaning induces physiological changes in intestinal development that affect pigs' growth performance and susceptibility to disease. As a posttranscriptional regulator, microRNAs (miRNAs) regulate cellular homeostasis during intestinal development. We performed small RNA expression profiling in the small intestine of piglets before weaning (BW), 1 week after weaning (1W), and 2 weeks after weaning (2W) to identify weaning-associated differentially expressed miRNAs. We identified 38 differentially expressed miRNAs with varying expression levels among BW, 1W, and 2W. Then, we classified expression patterns of the identified miRNAs into four types. ssc-miR-196a and ssc-miR-451 represent pattern 1, which had an increased expression at 1W and a decreased expression at 2W. ssc-miR-499-5p represents pattern 2, which had an increased expression at 1W and a stable expression at 2W. ssc-miR-7135-3p and ssc-miR-144 represent pattern 3, which had a stable expression at 1W and a decreased expression at 2W. Eleven miRNAs (ssc-miR-542-3p, ssc-miR-214, ssc-miR-758, ssc-miR-4331, ssc-miR-105-1, ssc-miR-1285, ssc-miR-10a-5p, ssc-miR-4332, ssc-miR-503, ssc-miR-6782-3p, and ssc-miR-424-5p) represent pattern 4, which had a decreased expression at 1W and a stable expression at 2W. Moreover, we identified 133 candidate targets for miR-196a using a target prediction database. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that the target genes were associated with 19 biological processes, 4 cellular components, 8 molecular functions, and 7 KEGG pathways, including anterior/posterior pattern specification as well as the cancer, PI3K-Akt, MAPK, GnRH, and neurotrophin signaling pathways. These findings suggest that miRNAs regulate the development of the small intestine during the weaning process in piglets by anterior/posterior pattern specification as well as the cancer, PI3K-Akt, MAPK, GnRH, and neurotrophin signaling pathways.

• 한국통신학회논문지
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• 제21권11호
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• pp.2739-2749
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• 1996

This aper introduces the multiple Neocognitron module approach for the effective target reognition. The Neocognitron which is designed to classify a pattern by extracting the local features from it, seems to be an unique method that can perform a pattern recognition using the neural networks. But due to its rigid structure, the Neocognitron must be reconstructed whenever there exists a variation on the number of classes. This is a quite difficult problem for the target recognition application that needs huge amount of computation and numerous classes to be classified. In this paper, we construct several smaller Necognitrom modules and train each module to adapt each class. After construction of the mulules, we integrate them in parallel so as to adaopt input at the same time and to produce each score that shold be matched to be learned class. This approach can reduce the sizes of the networks and is adaptive to the increase of classes as well as the authentic distortion, shift, scale variation and slight rotation invariant properties of general Neocognitron. This paper show the effectiveness of the proposed approach through some experience and performs analysis of the inhibitory interconnections in the architecture of the multiple module structure.

• 한국측량학회지
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• 제38권2호
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• pp.109-121
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• 2020

Depth calculation of objects in a scene from images is one of the most studied processes in the fields of image processing, computer vision, and photogrammetry. Conventionally, depth is calculated using a pair of overlapped images captured at different view points. However, there have been studies to calculate depths from a single image. Theoretically, it is known to be possible to calculate depth using the diameter of CoC (Circle of Confusion) caused by defocus under the assumption of a thin lens model. Thus, this study aims to verify the validity of the thin lens model to calculate depth from edge blur amount which corresponds to the radius of CoC. For this study, a commercially available DSLR (Digital Single Lens Reflex) camera was used to capture a set of target sheets which had different edge contrasts. In order to find out the pattern of the variations of edge blur against varying combination of FD (Focusing Distance) and OD (Object Distance), the camera was set to varying FD and target sheet images were captured at varying OD under each FD. Then, the edge blur and edge displacement were estimated from edge slope profiles using a brute-force method. The experimental results show that the pattern of the variations of edge blur observed in the target images was apart from their corresponding theoretical amounts derived under the thin lens assumption but can still be utilized to calculate depth from a single image for the cases similar to the limited conditions experimented under which the tendency between FD and OD is manifest.