• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.12
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• pp.1286-1299
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• 1991

In this paper we present a multiple capture model for common spreading code CDMA packet radio systems with star topology. Basic equations for the collision free, header detection. and multiple capture probabilities are derived at the central receiver. Link performances. including the average number of packet captures, allowable number of simultaneous transmission, and system throughput are theoretically evaluated for a hybrid system. combining envelope header detection and differential data detection, Using the Block Oriented Systems Simulator(BOSS), simulations were carried out for the central receivers with envelope or differential geader detection, It is shown that for a threshold approx-imation to the probability of data packet success, the mulyiple capture model significantly improves system throughput.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.1
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• pp.25-36
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• 2008

Eye localization means localization of the center of the pupils, and is necessary for face recognition and related applications. Most of eye localization methods reported so far still need to be improved about robustness as well as precision for successful applications. In this paper, we propose a robust eye localization method using multi-scale Gabor feature vectors without big computational burden. The eye localization method using Gabor feature vectors is already employed in fuck as EBGM, but the method employed in EBGM is known not to be robust with respect to initial values, illumination, and pose, and may need extensive search range for achieving the required performance, which may cause big computational burden. The proposed method utilizes multi-scale approach. The proposed method first tries to localize eyes in the lower resolution face image by utilizing Gabor Jet similarity between Gabor feature vector at an estimated initial eye coordinates and the Gabor feature vectors in the eye model of the corresponding scale. Then the method localizes eyes in the next scale resolution face image in the same way but with initial eye points estimated from the eye coordinates localized in the lower resolution images. After repeating this process in the same way recursively, the proposed method funally localizes eyes in the original resolution face image. Also, the proposed method provides an effective illumination normalization to make the proposed multi-scale approach more robust to illumination, and additionally applies the illumination normalization technique in the preprocessing stage of the multi-scale approach so that the proposed method enhances the eye detection success rate. Experiment results verify that the proposed eye localization method improves the precision rate without causing big computational overhead compared to other eye localization methods reported in the previous researches and is robust to the variation of post: and illumination.

• Journal of the Korean Society of Radiology
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• v.81 no.3
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• pp.644-653
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• 2020

Purpose We aimed to analyze postoperative multidetector CT (MDCT) of acquired spondylolysis and spondylolisthesis after posterior lumbar laminectomy. Materials and Methods We enrolled 74 patients, from 2003 to 2017, who underwent posterior lumbar laminectomy with both pre and postoperative MDCT. The patients were categorized into the following two groups: group 1 without fusion and group 2 with fusion. We analyzed laminectomy width, level and location of spondylolysis or spondylolisthesis, facet changes, and fatty infiltration of paraspinal muscles on postoperative MDCT. Results Incidence of spondylolysis or spondylolisthesis was 4 of 20 patients in group 1 and 2 of 54 patients in group 2. The laminectomy width (%) was defined as the percentage of the width of laminectomy to total lamina length. Mean laminectomy width (%) in patients with spondylolysis or spondylolisthesis was 54.0 in group 1 and 53.2 in group 2, in contrast to that in patients without spondylolysis or spondylolisthesis, which was 35.0 in group 1. The spondylolysis was observed at the level of the laminectomy and below pars interarticularis in group 1 and below the fusion mass at isthmic region in group 2. Conclusion MDCT facilitates the diagnosis of postsurgical acquired spondylolysis and spondylolisthesis and demonstrates typical location of spondylolysis. Greater laminectomy width has been associated with occurrence of acquired spondylolysis and spondylolisthesis.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.215-218
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• 2000

디지털 비디오 데이터를 효율적으로 브라우징 하는데 필요한 비디오 분할에 관한 연구가 활발하게 진행되고 있다. 본 연구에서는 비디오 데이터를 Shot단위로 분할하고, Shot내부에서 카메라 동작과 객체 움직임 분석을 이용한 sub-shot으로 분할하고자 한다. 연구 방법으로는 I-frame의 DC 영상을 이용하여 픽쳐그룹을 Shot(장면이 바뀐 경우), Move(카메라 동작,객체움직임), Static(영상의 변화가 거의 없는 경우)로 세분화하고 해당 픽쳐 그룹의 P, B-frame을 검사하여 정확한 컷 발생 위치, 디졸브, 카메라동작, 객체 움직임을 검출하게 된다. 픽쳐그룹 분류에서 정확성을 높이기 위해 계층적 신경망과 다중 특징을 이용한다. 정확한 컷 발생위치 검출하기 위해서 P, B프레임의 메크로블럭 타입을 이용한 통계적 방법을 이용하고, 디졸브, 카메라 동작, 객체 움직임을 검출하기 위해서 P, B-frame의 메크로블럭 타입과 움직임 벡터를 이용한 신경망으로 검출한다. 본 연구에서는 계층적 탐색을 이용하여 시간을 단축할 수 있고, 계층적 신경망과 다중 특징을 이용하여 픽쳐 그룹을 세분화 할 수 있고, 메크로 블록 타입과 통계적 방법을 이용하여 정확한 컷 검출을 할수 있고, 신경망을 이용하여 디졸브, 카메라 동작, 객체움직임을 검출 할 수 있음을 확인한다.

• Bulletin of the Korean Space Science Society
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• 1993.04a
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• pp.22-22
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• 1993

천체 B-선 관측용으로 많이 이용되고 있는 X-선 비례계수관을 실험실형으로 재작하고 그 특성을 조사하였다. X-선 검출기의 구조는 10 $\times$ 20 $\times$ 2cm3 인 검출체적내에 10개의 전극선이 설치되어있는 다중선 비례계수관이며, 검출가스로서 Argon(90%) + CH4 (10%)인 g혼합가스를 사용하였다. 이러한 구조에서 5.9 keV에 대한 에너지 분해능은 16%를 얻었으나, 정상적인 전극연결방법에서는 검출기 끝측에 위치한 전극에서 생기는 electric field 변형매문에, 양극선 배열방향에서 조정된 이득의 군일성이 나쁘게 나타났다. 따라서 다중선들의 각 전극선에 전압보상법(voltage compansation method)을 적용하여 검출기 전반에 걸친 이득의 균일성을 2 % (rms 값) 이내로 보정할 수 있었다. 아울러 신호처리회로 중 에너지분석을 위한 파고분석기, 비 X-선 재거를 위한 상승시간선별기(rise-time discriminator)등을 제작하였으며 이들을 이용한 전반적인 신호처리회로의 구성에 대하여 논하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.39 no.8
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• pp.26-32
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• 2002

In this paper, we propose a suboptimal receiver combining adaptive array antenna and orthogonal decision-feedback detector in DS/CDMA system. Adaptive way antenna can cancel out undesired signal using beamforming scheme. However, if there are interfering signals from undesired users with the same incident angle as that of a desired user, an adaptive array antenna cannot suppress them. The proposed receiver can cancel out remaining interference from users having nearly the same beam pattern. And we employ Orthogonal Decision-Feedback Detector (ODFD) as Multiuser detection. The ODFD performs as good as the decorrelating decision -feedback detector (DDFD) with much less complexity. Simulation results show that the proposed system provides a significantly enhanced performance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.1
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• pp.42-48
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• 2006

In this paper a joint detection method for other cell interference cancellation is proposed in the next generation hybrid TD-CDMA mobile communication systems. A joint detection technique, a most characteristic feature of hybrid TD-CDMA mobile communication systems. retrieves users' data in the same time slot simultaneously with the elimination of multiple user interference. Previously a two stage joint detection method was proposed to cancel other cell interference as well as multiple user interference in the target cell. However the previous scheme does not have concrete ways to recognize other cell users who give major interference to the target cell. Thus all users in neighbor other cells has to be jointly detected and it causes huge complexity of the two stage joint detection. In this paper a method is proposed to perform two stage joint detection according to users' interference with the target cell. Performances of the proposed scheme are investigated through simulations and compared to the previous method the proposed method has no performance degradation and also lower the complexity of two stage joint detection significantly.

• Journal of Korea Multimedia Society
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• v.15 no.11
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• pp.1284-1291
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• 2012

Ship object detection is a technique to detect the existence and the location of ship when ship objects are shown on input image sequence, and there are wide variations in accuracy due to environmental changes and noise of input image. In order to solve this problem, in this paper, we propose multiple ship object detection based on background registration technique and morphology operation. The proposed method consists of the following five steps: background elimination step, noise elimination step, object standard position setting step, object restructure step, and multiple object detection steps. The experimental results show accurate and real-time ship detection for 15 different test sequences with a detection rate of 98.7%, and robustness against variable environment. The proposed method may be helpful as the base technique of sea surface monitoring or automatic ship sailing.

• Proceedings of the Optical Society of Korea Conference
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• 2000.02a
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• pp.10-11
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• 2000

광통신을 이용한 근거리 전송과 장거리 전송에서 1.3 및 1.55 $mu extrm{m}$ 파장 영역의 빛이 사용되고 있다. 향후, 각 가정마다 광선로를 연결하는 Fiber-to-the-home (FTTH)의 개념과 광CATV가 발전함에 따라 1.3 및 1.55 $\mu\textrm{m}$ 빛을 검출하는 소자와 송신하는 소자가 필요하게 된다. 본 논문에서는 이러한 다중파장을 검출할 수 있는 집적소자를 제작 및 측정하였다. 본 논문에서 사용된 epitaxial layer의 구조는 N-InP 기판 위에 1 $\mu\textrm{m}$의 n-InP buffer층, 5층의InGaAs/InGaAsP 다중양자우물과 0.2 $\mu\textrm{m}$ InGaAsP separate confinement heterostructure (SCH) 층, 0.5$\mu\textrm{m}$ InP clad층과 0.1 $\mu\textrm{m}$ InGaAs cap 층으로 구성되어있다. 모든 epi 층은 InP 기판에 격자 정합이 되어있다. 다중양자우물구조는 84 $\AA$의 InGaAs 우물층과 100 $\AA$의 InGaAsP 장벽층으로 구성되며, 상온에서 0.787 eV (1.575 $\mu\textrm{m}$)의 bandgap energy를 갖도록 설계하였다. (중략)

• The Journal of the Acoustical Society of Korea
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• v.39 no.6
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• pp.600-605
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• 2020

In this paper, we propose a sound event detection method using a multi-channel multi-scale neural networks for sound sensing home monitoring for the hearing impaired. In the proposed system, two channels with high signal quality are selected from several wireless microphone sensors in home. The three features (time difference of arrival, pitch range, and outputs obtained by applying multi-scale convolutional neural network to log mel spectrogram) extracted from the sensor signals are applied to a classifier based on a bidirectional gated recurrent neural network to further improve the performance of sound event detection. The detected sound event result is converted into text along with the sensor position of the selected channel and provided to the hearing impaired. The experimental results show that the sound event detection method of the proposed system is superior to the existing method and can effectively deliver sound information to the hearing impaired.