• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.971-974
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• 2008

오늘날 네트워크는 장비의 발달로 인해 패킷 재배치(packet reordering)가 빈번히 일어나고 있다. 패킷 재배치는 TCP의 성능을 저하시키는 문제점을 가지는데, 이러한 문제점을 해결하기 위해 TCPDAD 메커니즘이 제안되었다. TCP-DAD는 중복 응답 임계값을 동적으로 조절함으로써, TCP의 패킷 재배치 문제를 완화하는 메커니즘이다. 하지만 TCP-DAD는 중복 응답 임계값을 조절하는 메커니즘에 문제가 있어 패킷 손실이 일어날 경우, 패킷 손실에 대한 복구가 늦어지고 심지어 재전송 타이머가 불필요하게 종료되어 TCP의 성능저하를 야기하기도 한다. 본 논문에서는 이러한 TCP-DAD의 문제점을 해결하기 위해 새로운 중복 응답 임계값 조절 기법으로 Smooth-dupthresh를 제안한다. NS-2를 이용한 시뮬레이션을 통해 Smooth-dupthresh 기법을 적용한 TCP-DAD가 기존의 TCP-DAD 보다 평균적으로 약 8% 향상된 성능을 보임을 증명하였다.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.395-402
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• 2004

In this paper, we proposed a new method of the large capacity steganography using adaptive threshold on bit planes. Applying fixing threshold, if we insert information into all bit planes, all bit planes showed different image quality. Therefore, we first defined the bit plane weight to solve the fixing threshold problem. We then proposed a new adaptive threshold method using the bit plane weight and the average complexity to increase insertion capacity adaptively. In the experiment, we inserted information into the standard images with the same image quality and same insertion capacity, and we analyzed the insertion capacity and image duality. As a result, the proposed method increased the insertion capacity of about 6% and improved the image quality of about 24dB than fixed threshold method.

• Journal of Digital Contents Society
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• v.15 no.3
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• pp.319-326
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• 2014

IEEE 802.11 WLAN uses CSMA/CA(Carrier Sense Multiple Access/Collision Avoidance) method in MAC(Media Access Control) protocol, and through the carrier sense checks whether other users use the channel during the data transmission to avoid the data collision. Currently, IEEE 802.11 standard recommends the use of a fixed threshold which gives an impact on carrier sensing range. However, the existing scheme using the fixed threshold causes the operation of network to be inefficiency owing to the mobility in MANET(Mobile Ad hoc NETwork). In this paper, we found the better network throughput to be obtained by applying the proposed scheme, which chooses properly the carrier sensing threshold and transmission rate considering SINR(Signal to Interference-plus-Noise Ratio), to the MANET.

• The Journal of the Acoustical Society of Korea
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• v.23 no.6
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• pp.446-453
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• 2004

In this paper, a new adaptive perceptual filter using variable threshold to enhance audio signals degraded by additively nonstationary noise is proposed. The adaptive perceptual filter updates variable threshold each time according to the power of signal and the effect of noise variation. So the noisy audio signal is enhanced by the method which controls a residual noise effectively. The proposed algorithm uses the perceptual filter which transforms a time domain signal into frequency domain and calculates an intensity energy and an excitation energy in bark domain. In this method. the stage updated the response of filter is decided by threshold. The proposed algorithm using vairable threshold effectively controls a residual noise using the energy difference of audio signals degraded by the additive nonstationary noise. The proposed method is tested with the noisy audio signals degraded by nonstationary noise at various signal -to-noise ratios (SNR). We carry out NMR and MOS test when the input SNR is 15dB. 20dB. 25dB and 30dB. An approximate improvement of 17.4dB. 15.3dB, 12.8dB. 9.8dB in NMR and enhancement of 2.9, 2.5, 2.3, 1.7 in MOS test is achieved with the input signals. respectively.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.18-25
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• 2011

Salient object attracts more and more attention from researchers due to its important role in many fields of multimedia processing like tracking, segmentation, adaptive compression, and content-base image retrieval. Usually, a saliency map is binarized into black and white map, which is considered as the binary mask of the salient object in the image. Still, the threshold is heuristically chosen or parametrically controlled. This paper suggests using the global optimal threshold to perform saliency map thresholding. This work also considers the usage of multi-level optimal thresholds and the local adaptive thresholds in the experiments. These experimental results show that using global optimal threshold method is better than parametric controlled or local adaptive threshold method.

• The Journal of the Acoustical Society of Korea
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• v.21 no.6
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• pp.576-584
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• 2002

This paper proposes a new denosing method using wavelet packet, to reject unknown external noise and white gaussian ambient noise for measuring the transient noise which is one of the important elements for ship classification. The previous denosing method applied the same wavelet threshold at each node of multi-single sensors for rejecting white noise is not adequate in the underwater environment existing lots of external noises. The proposed algorithm of this paper applies a modified soft-threshold to each node according to the discriminated threshold so as to reject unknown external noise and white gaussian ambient noise. It is verified by numerical simulation that the SNR is increased more than 25㏈. And the simulation results are confirmed through sea-trial using multi-single sensors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.163-164
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• 2015

In order to decode the bar code image binarization process is indispensable. The traditional binarization method is a global threshold binarization and local threshold binarization. Global threshold binarization method using a single threshold. In some cases there is a blur, or if the brightness is different from the bar code image. Therefore, binary pattern information is not retained. Local threshold method is binaized pattern information is maintained but processing speed is slow than global threshold binarization. The algorithm for solving this problem, there is modified binary algorithm. In this paper, we proposed hardware IP implemented by Vivado of modified binary algorithm.

• Journal of the Korean Vacuum Society
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• v.4 no.3
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• pp.327-333
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• 1995

전자소자의 축소화에 따라 박막배선에서의 electromigration은 점차 극소전자 디바이스의 주요 결함원인으로 부각되고 있다. 본 실험에서는 현재 박막 배선 재료로 가장 널리 사용되고 있는 AI-1%Si 금속박막배선의 electromigration에 대한 온도 및 배선길이의 의존성에 관하여 연구하였다. PSG($8000AA$)/SiO2(1000$\AA$)/AI-1%Si(7000$\AA$)/SiO2(5000$\AA$)/p-Si(100)의 보호막처리되지 않은 시편 등을 standard photolithography 공정을 이용하여 각각 제작하였다. 선폭 3$\mu$m, 길이 100, 400, 800, $\1600mu$m등의 AI-1%Si 배막배선구조를 사용하였다. 가속화실험을 위해 인가된 d.c.전류밀도는 4.5X106A/$ extrm{cm}^2$이었고 실온에서 $100^{\circ}C$까지의 분위기 온도에서 electromigration test를 진행하였다. 박막배선의 길에에 따른 MTF(Mean-Time-to-Failure)는 임계길이 이상에서 포화되는 경향을 보이며 이는 보호막층의 유무에 관계없이 나타난다. 선폭 $3\mu$m인 AI-1%Si 박막배선에서 임계길이는, 보호막처리된 시편은 $800\mu$m, 보호막처리되지 않은 시편은 $400\mu$m 배선길이에서 나타난다. 이러한 포화의 경향은 낮은 온도에서 더욱 명확해지는 특성을 보인다. 각 시편에서 electromigration에 대한 활성화에너지도 MTF의 특성과 유사하게 임계길이 이상에서 포화되는 특성을 보인다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.5
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• pp.94-102
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• 2007

In de-noising, it is wellknown that wavelet-thresholding algorithm shows near-optimal performances in the minimax sense. However, the wavelet-thresholding algorithm is difficult in realization it on hardware, such as FPGA, because of wavelet function complexity. In this paper, we present a new do-noising technique with the binary tree structured filter bank, which is based on the signal power ratio of each subbands to the total signal power. And we realize it on FPGA. For simple realization, the filter banks are designed by Hadamard transform coefficients. The simulation and hardware experimental results show that the performance of the proposed method is similar with that of soft thresholding de-noising algorithm based on wavelets, nevertheless it is simple.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2006.06a
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• pp.21-24
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• 2006

본 논문에서는 신장조직 영상에서 사구체 영역을 자동적으로 추출하는 방법을 제안한다. 사구체 조직은 신장의 상태를 나타내는 많은 정보를 포함하고 있기 때문에 사구체 영역의 추출은 신장 검사를 자동화하기 위한 첫 번째 단계이다. 그러나 사구체 영역을 단순한 2치화 방법으로 직접 추출함은 어려운 일이다. 이에 본 연구자들은 우선, 가우스 함수에 의한 원영상의 빛바랜 영상을 동적인 임계값으로 사용함으로써 원영상을 2치화한다. 다음으로, 획득한 영상으로부터 간단한 영상처리 기법에 의한 사구체 영역의 경계 에지를 포함하는 모든 에지를 추출한다. 그 다음으로 사구체 영역의 경계 에지를 판별함으로써 사구체 영역을 추출하였다. 이 방법은 다수의 샘플에 적용해서 유효성을 확인한 바 양호한 결과를 얻을 수 있었다.