• Journal of KIISE:Software and Applications
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• v.31 no.11
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• pp.1534-1542
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• 2004

A novel vision-based scheme of extracting real-time traffic information parameters is presented. The method is based on a region classification followed by a spatio-temporal image analysis. The detection region images for each traffic lane are classified into one of the three categories: the road, the vehicle, and the shadow, using statistical and structural features. Misclassification in a frame is corrected by using temporally correlated features of vehicles in the spatio-temporal image. Since only local images of detection regions are processed, the real-time operation of more than 30 frames per second is realized without using dedicated parallel processors, while ensuring detection performance robust to the variation of weather conditions, shadows, and traffic load.

• Journal of Broadcast Engineering
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• v.6 no.1
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• pp.21-31
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• 2001

In the PN-sequence based audio watermarking system, the PN sequence is shaped by a filter derived from the psychoacoustic model to increase robustness and inaudibility The psychoacoustic model calculated in each audio segment, however, requires heavy computational loads. In this paper, we propose an efficient watermarking system adopting a fixed-shape perceptual filter that substitutes psychoacoustic model derived filter. The proposed filter can shape the PN-sequence to be inaudible and enable to embed the robust watermark in a simple manner. Moreover, we propose an anchitecture for the PN-sequence compensation fitter In the watermark detecter to increase correlation between the watermark and the PN-sequence. With the proposed architecture, the blind watermark detection performance has been enhanced.

• Proceedings of the KOSOMBE Conference
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• v.1995 no.11
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• pp.273-277
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• 1995

많은 생리적 지능 연구자들은 생체신호 또는 생리적 측정치들을 지능의 새로운 측정치로서 제안하고 있는데, 이들의 기본 가정은 현재의 지능검사는 교육, 가정의 양육태도, 부모의 사회경제적 지위와 같은 문화적 요인에 의해 크게 좌우되므로 지능의 편파적인 측정치가 될 수밖에 없고, 이러만 요인에 가장 적게 영향받는 생리적 측정치만이 순수한 지능 즉정치가 될 수 있다는 것이다. 따라서, 본 연구는 이러한 생리적 신호들 중 EOG(electro-oculograph)를 이용하여 안구의 움직임을 기록함으로서 피검자의 문제해결을 위한 집중력과 이해력 등을 알아보고자 하였다. 또한, 피검자의 정보처리과정을 알아보기 위해 반응시간(RT, reaction time)을 측정하였다. 17명의 건강한 남녀 학생들이 실험에 참여하였으며, 첫단계로 Raven's Advanced Matrices 검사와 IQ 검사를 실시하고, 검사 결과에 근거하여 각각을 세 그룹으로 나누었다. 두번째 단계로는 슬라이드로 제작된 도형유추과제를 푸는 동안 EOG와 RT를 측정하였다. IQ 검사 점수, RT, 그리고 EOG로부터 추출된 변수들 간의 상관관계를 구하기 위해 GLM(general linear model) 및 Duncan's multiple range test를 위한 통계분석을 수행하였다. 분석결과를 통하여 도형유추과제의 난이도가 높을수록 EOG변수들에 의한 지능점수의 분류능력이 높음을 알 수 있었으며, Raven그룹보다는 IQ그룹에 대한 분류가 더욱 잘 이루어졌음을 발견하였다. 그리고, RT는 Raven그룹과 IQ그룹 모두에서 높은 변별력을 나타내고 있음을 확인하였다.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.636-646
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• 2015

In information society, the need to detect document duplication and plagiarism is increasing. Many studies have progressed to meet such need, but there are limitations in increasing document duplication detection quality due to technological problem of natural language processing. Recently, some studies tried to increase the quality by applying syntatic-semantic analysis technique. But, the studies have the problem comparing syntactic-semantic trees. This paper develops a syntactic-semantic tree comparator, designs and implements a discriminator of similar documents using the comparator. To evaluate the system, we analyze the correlation between human discrimination and system discrimination with the comparator. This analysis shows that the proposed discrimination has good performance. We need to define the document type and improve the processing technique appropriate for each type.

• Journal of Sensor Science and Technology
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• v.8 no.4
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• pp.347-353
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• 1999

We constructed an interferometer for precise measurement of the ball diameter, and measured the diameter of steel ball with a diameter of 78 mm. The interferometer was consisted of etalon to instal ball between two parallel plates and placed on the monolithic flexure to be moved parallel. The ball diameter was calculated from phase difference of one pair of signals interfered between the both sides of ball and two parallel plates, and the signals was observed by photodetectors with scanning the etalon. The results showed that the diameter of steel ball was 78.1893544 mm and measurement uncertainty of 29 nm in confidence level of 95.5%.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.4
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• pp.89-96
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• 2009

In this paper, we propose an efficient deinterlacing algorithm which is an edge dependent interpolation based on edge direction refinement. The conventional edge dependent interpolation algorithms have a visually better performance than any other Intra-field deinterlacing algorithms. However they are very sensitive to noise due to the failure of estimating edge direction. In order to exactly detect edge direction, our method detects edge direction of around interpolated pixel and refines the edge direction using weighted median filter. Simulation results have shown the efficacy of the proposed method with significant improvement over the previous methods in terms of the objective PSNR quality as well as the subjective image quality.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.2
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• pp.132-137
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• 2004

In this paper, the adaptive noise canceler using neural network with backpropagation is designed. The adaptive noise canceler using the least mean square algorithm has the large correlativity of the reference signal. The performance of the adaptive noise canceler shows the limitation when the information signal is relatively small to the noise. The system proposed in this paper plays an important role in denoising these signals. In addition, the experiments are carried out to analyze the effects of the number of hidden layers and nodes about the system. The performance of the proposed adaptive noise canceler is compared with that of the system which is used the least mean square algorithm.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.2
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• pp.431-438
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• 2019

Fileless malware uses memory injection attacks to hide traces of payloads to perform malicious works. During the memory injection attack, an attack named "process hollowing" is a method of creating paused benign process like system processes. And then injecting a malicious payload into the benign process allows malicious behavior by pretending to be a normal process. In this paper, we propose a method to detect the memory injection regardless of whether or not the malicious action is actually performed when a process hollowing attack occurs. The replication process having same execution condition as the process of suspending the memory injection is executed, the data set belonging to each process virtual memory area is compared using the fuzzy hash, and the similarity is calculated.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1557-1564
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• 2014

In this paper, we propose a signal detection technique based on the parallel orthogonal matching pursuit (POMP) is proposed for generalized shift space keying (GSSK) systems, which is a modified version of the orthogonal matching pursuit (OMP) that is widely used as a greedy algorithm for sparse signal recovery. The signal recovery problem in the GSSK systems is similar to that in the compressed sensing (CS). In the proposed POMP technique, multiple indexes which have the maximum correlation between the received signal and the channel matrix are selected at the first iteration, while a single index is selected in the OMP algorithm. Finally, the index yielding the minimum residual between the received signal and the M recovered signals is selected as an estimate of the original transmitted signal. POMP with Quantization (POMP-Q) is also proposed, which combines the POMP technique with the signal quantization at each iteration. The proposed POMP technique induces the computational complexity M times, compared with the OMP, but the performance of the signal recovery significantly outperform the conventional OMP algorithm.

• Korean Journal of Optics and Photonics
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• v.11 no.6
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• pp.452-456
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• 2000

A measurement unit and signal processing algorithm have been developed for predicting arterial oxygen saturation noninvasively. The measurement set-up was composed of a probe including light source and photodetector, optical signal processing section, LED driving circuit, PC interface software for data acquisition and data processing software. Light from the LED's was irradiated onto the finger nail bed and transmitted light was measured at different wavelengths. An effective baseline correction method was developed and measured data were analyzed by using various data processing methods and prediction algOlithms. For performance evaluation, a pulse oximeter simulator (Bio- Tek Instrument Inc.) was used as reference. The best performance in terms of the correlation coefficient and the standard deviation was obtained under the following conditions; when the arterial signals were computed in terms of area rather than peak-valley difference, and when the algorithm calculating by $In(I_p/I_v)/I_{avr}$ value for pulsation waveform was used. In in vivo test, prediction was improved when the developed baseline correction method was used. In addition, wavelengths of 660 nm and 940 nm provided better linearity and precision than wavelengths of 660 nm and 805 nm. 05 nm.