• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.197-202
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• 2006

본 논문에서는 퍼지 신경회로망을 사용하여 영상에서 물체를 배경으로부터 추출해내는 방법을 제시하였다. 퍼지 신경회로망의 vigilance parameter를 조정하여 영상을 2개의 클래스로 분류하고, 물체 영역과 배경영역의 Cb와 Cr의 대표값을 추출하였다. 제안한 방법을 사용하여 물체색상의 위치 및 크기와 밝기에 상관없이 물체영역을 추출하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.1A
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• pp.66-74
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• 2007

Cognitive Radio system can guarantee available channel whenever, wherever by sensing surrounding channel condition. Therefore, there is a strict rule that have to use allocated channel efficiently without any interference from incumbent User. In this paper, to avoid interference which can occur during uplink transmission in CR system, we propose reporter using scheme which informs incumbent user's situation to adjacent cell to limit channel usage. Therefore, we can use more channel in each cell without interference. With this scheme we can expect better throughput using more channel in a large space with same resource.

• Journal of Korean Society of Environmental Engineers
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• v.22 no.12
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• pp.2125-2134
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• 2000

This research was to develope the economical treatment processes of the landfill leachate to meet the legal discharge standards. To achieve this purpose, experiments were conducted in laboratory to choose the optimum process and to obtain the design factors before a pi!ot-scale test. The concept of the process developing in this research was using the reverse osmosis system. The submerged membrane bio-reactor was used to achieve pre-treatment of reverse osmosis system and the concentrate was treated by evaporator with land fill gas as a fuel. The results of the research showed that SS, $BOD_5$, $COD_{cr}$, $NH_4{^+}-N$ and T-N were removed 99.0%, 43.0%, 12.9%, 48.5% and 18.7% respectively in the submerged membrane bio-reactor. The reverse osmosis system could remove $BOD_5$, $COD_{cr}$, $NH_4{^+}-N$ and T-N as an efficiency of97.5%, 97.6%, 79.7% and 85.4% respectively. The evaporator could remove $COD_{cr}$, $NH_4{^+}-N$ and T-N as an efficiency of 90.5%, 50.6% and 63.3% respectively. However the condensed water of the evaporator was not satisfied the legal standard and should be treated in reverse osmosis with the pre-treated leachate.

• Journal of Radiation Protection and Research
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• v.38 no.1
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• pp.29-36
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• 2013

The aim of this study was to determine the correlation between exposure index (EI) and dose factors related to radiation dose optimization in digital radiography (DR) system. Two phantoms with built-in regional test object for quantitative assessment of images were used to produce image signals that acquired in chest radiography background. EI and entrane surface dose (ESD) increased proportionally with rise of radiation dose (kVp, mAs) in both DR and CR systems. Especially, DR detector was effective to form good contrast and hence, reached easily to improvement of image quality with minimal dose changes. It made operators possible to expect the accuracy of EI values deeply related to absorbed dose of the detector. The evaluation of images was obtained specially employed calculation of noise to signal ratio (NSR) and contrast to noise ratio (CNR). These measurements were performed for how exposure factors affect image quality. NSR was inversely proportional to kVp and mAs and low NSR represented high signal detection efficiency. Consequently, EI values was the measure of the amount of exposure received by the image receptor and it was proportional to exposure factors. Therefore the EI in a recommended range from manufacturer can offer optimal image quality. Also, continuous monitoring of EI values in the digital radiography can reduce the unnecessary patient dose and help the quality control of the system.

• ICROS
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• v.19 no.3
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• pp.17-28
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• 2013

조수간만의 차가 크고 지형이 복잡한 우리나라서 해안은 세계적으로도 보기 드문 강조류 환경이다. 잠수부의 안전을 위협하는 이러한 환경은 수중로봇의 접근도 쉽게 허락하지 않는다. 해저로봇 크랩스터는 이러한 특수한 환경을 조사하기 위해 고안된 수중보행로봇이다. 기존의 프로펠러 방식으로 달성하기 어려웠던 문제점을 크랩스터 로봇은 게나 가재와 같은 수중 생명체를 모방하여 극복하고자 했다. 크랩스터는 게나 가재의 기능을 모방함으로써 강조류 악시계 환경에서 유용한 두 가지 특징을 얻는다. 첫째는 해저에 밀착하여 자세를 제어함으로써 조류력을 이용하여 자세를 안정화시키면서 이동할 수 있다. 둘째는 조류 속에서 동요하지 않는 안정된 자세를 바탕으로 깨끗한 초음파 영상을 얻을 수 있다. 이는 강조류 환경에서 동반되는 부유물에 의한 악시계 환경을 극복할 수 있는 중요한 수단을 제공한다. 본 고에서는 이러한 개념에 따라 설계 개발된 크랩스터 CR200의 구성과 사양을 소개하고, 여기에 사용된 핵심기술을 살펴본다. 또한, 최근 수행된 CR200의 시험 결과에 대해서도 요약 소개한다.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2007.04a
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• pp.145-146
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• 2007

Cr-Si-N 박막은 하이브리드 코팅 시스템에 의해 온도와 바이어스의 변화에 따라 증착 되었다. 증착온도 $0{\sim}300^{\circ}C$ 범위에서, 경도와 탄성계수는 이온의 surface mobility의 증가 때문에 향상되었지만 $350^{\circ}C$ 이상의 증착 온도에서는 결정성장 때문에 경도는 다시 감소하였다. 바이어스 $0{\sim}-100V$까지 범위에서는, 경도와 탄성계수는 각각 46GPa, 600GPa의 최대값을 보여주었으며 바이어스 -100V에서 macro-particle과 surface molphology 감소가 발생하였다. 그러나 -100V이상의 바이어스에서 resputtering 현상에 의해 Si 의 양이 감소한다. 증착온도는 Si 함량에 많은 영향을 주지 못한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.287-293
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• 2013

Cognitive radio has been recently proposed to dynamically access unused-spectrum. The CR users can share the same frequency band with the primary user without interference to each other. Usually each CR user needs to determine spectrum availability by itself depending only on its local observations. But uncertainty communication environment effects can be mitigated so that the detection probability is improved in a heavily shadowed environment. Soft detection is a primary user detection method of cooperative cognitive radio networks. In our research, we will improve system detection probability by using optimal cooperative node selection algorithm. New algorithm can find optimal number of cooperative sensing nodes for cooperative soft detection by using maximum ratio combining (MRC) method. Through analysis, proposed cooperative node selection algorithm can select optimal node for cooperative sensing according to the system requirement and improve the system detection probability.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.7
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• pp.45-50
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• 2010

In this paper, we analysis the performance of cooperative spectrum sensing with distance based weight for cognitive radio (CR) systems and CR systems sense the spectrum of the licensed user by using a energy detection method. Threshold is determined in accordance with the constant false alarm rate (CFAR) algorithm for energy detection. The signal of licensed user is OFDM signal and the wireless channel between a licensed user and CR systems is modeled as Gaussian channel. From the simulation results, the cooperative spectrum sensing with distance based weight combining (DWC) and equal gain combing (EGC) methods shows higher spectrum sensing performance than single spectrum sensing does. And the detection probability performance with the DWC is higher than that with the EGC.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.226-231
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• 2007

This paper presents a method of colored object extraction from an image using the fuzzy neural network. Fuzzy neural network divides an image into two clusters. It extracts the prototypes of Cb and Cr of object and background by controlling the vigilance parameter. The proposed method extracted object regardless of the position, the size, and the intensity of object. We compared the performance of the proposed method with that of the method of using subjective threshold value. And, we compared the performance of the proposed method with that of the method of using subjective threshold value by using several images with added noises.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.6
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• pp.101-109
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• 2008

In this paper, we introduce clustering scheme to calculate probability of detection which is practically required for conventional weighted-collaborative sensing technique. We also propose an improved weighted-collaborative spectrum sensing scheme using new weight generation algorithm to achieve better performance in Cognitive Radio systems. We calculate Pd in each cluster which is a CR users group with similar channel situation. New weight factor is generated using square sum of all cluster's Pds. Simulations under slow fading show that we can get better total detection probability and lower false alarm rate when PU (Primary User) suddenly terminates their transmission.