• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.385-386
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• 2009

활성 윤곽선 모델은 스네이크 모델이라고도 하며 영상에서 물체의 경계를 검출하기위한 효과적인 방법으로 사용되고 있다. 본 논문에서는 초기 윤곽선 문제와 효과적인 경계선 검출을 위해 다해상도 기반의 유전자 알고리즘을 이용한 활성 윤곽선 모델을 제안한다. 입력영상의 해상도를 영상 피마리드 기법으로 저해상도로 축소시키고 초기 윤곽선을 설정한다. 설정된 윤곽선상의 연속된 두 좌표를 유전인자로 선택하고, 유전 연산자를 적용하여 물체의 경계를 찾아간다. 경계가 검출된 저해상도 영상을 단계적으로 확대하여, 보간될 영역의 국부적 활성 윤곽선 에너지를 계산하여 최소 에너지를 갖는 위치에 새로운 윤곽선 좌표를 삽입하여 경계를 형성한다. 제안된 방법은 초기 윤곽선의 위치에 상관없이 경계선을 검출했으며, 형태가 복잡한 물체의 경우에도 효과적으로 경계선을 검출하고 계산 복잡도를 감소시켰다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.3
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• pp.639-648
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• 2017

Electronic warfare systems for extracting information of the threat signals can be employed under the circumstance where the power of the received signal is weak. To precisely and rapidly detect the threat signals, it is required to use methods exploiting whole energy of the received signals instead of conventional methods using a single received signal input. To utilize the whole energy, numerous sizes of windows need to be implemented in a detector for dealing with all possible unknown length of the received signal because it is assumed that there is no preliminary information of the uncooperative signals. However, this grid search method requires too large computational complexity to be practically implemented. In order to resolve this complexity problem, an approach that reduces the number of windows by selecting the smaller number of representative windows can be considered. However, each representative window in this approach needs to cover a certain amount of interval divided from the considering range. Consequently, the discordance between the length of the received signal and the window sizes results in degradation of the detection performance. Therefore, we propose the weighted energy detector which results in improved detection performance comparing with the conventional energy detector under circumstance where the window size is smaller than the length of the received signal. In addition, it is shown that the proposed method exhibits the same performance under other circumstances.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.77-80
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• 2004

인간은 "습관적 피치 레벨" 즉 자연스럽게 말할 때 평균적으로 사용하는 피치를 갖는다. 하지만 음성에 잡음이 첨가 되면 이 피치가 불규칙하게 바뀌게 된다. 이점을 이용하여 음성의 잡음레벨을 측정할 수 있다. 본 논문에서는 입력음성의 에너지를 구하고 일정 에너지레벨 이상에서의 구간에 대해 NAMDF(Normalized Average Magnitude Difference Function)방법으로 피치를 구하고, 각 프레임을 피치단위로 분절한 뒤 인근 피치간의 유사도를 측정하여 입력음성데이터의 잡음레벨을 검출하는 방법을 제안하였다.

• Proceedings of the KIPE Conference
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• 2012.11a
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• pp.191-192
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• 2012

중요부하를 갖는 에너지 저장 시스템에서는 계통이상 시에도 양방향 인버터가 독립운전으로 전환하여 지속적인 전력을 공급하여야 한다. 이때 기존의 제어 방식은 모드전환 시에 과도상태가 발생하여 부하의 전압과 주파수가 변동하기 때문에 이 중요부하에 심각한 영향을 줄 수 있다. 이러한 문제를 개선하기 위하여 모드전환 시 과도상태가 없는 간접전류제어 기법이 제안되었다. 그러나 이 방식은 항상 전압제어를 하기 때문에 기존 단독운전 검출방법으로는 검출이 불가능한 문제가 있다. 본 논문에서는 중요부하를 갖는 에너지 저장 시스템에서 계통이상이 발생하여 독립운전으로 전환 시 단독운전 검출이 가능한 간접전류제어 기반의 양방향 단독운전 방지 기법을 제안한다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.327-328
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• 2007

에너지 흉부 단순 X선 영상으로부터 폐 종류 음영을 검출하기 위한 필터를 예측해서 성능좋게 평가하기 위한 방법을 제안한다. 더욱이 그 평가방법을 이용해서 기존에 제안된 다중 해상도 ${\nabla}^{2}G$ 필터의 평가를 행한다. 전문의의 진단보조 혹은 총합자동진단시스템의 구성요소로서 필터가 수행한 역할을 고려한 후, 필터가 만족해야만 하는 조건 및 그 조건을 만족한 경우에 있어서 몇가지 성능평가 척도를 명확히 한다. 제안한 평가방법을 통해서 다중해상도 필터가 단일해상도 필터에 비해 좋은 성능을 나타내고 있음을 명확히 한다.

• Nuclear Engineering and Technology
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• v.26 no.4
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• pp.548-554
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• 1994

The full-energy peak efficiency for a collimated geometry of a Si (Li) detector has been experimentally determined using the electro-deposition sources. The radioactive sources of $^{51}$ Cr, $^{54}$ Mn, $^{57}$ Co and $^{65}$ Zn nuclides are prepared by the electro-deposition method. The measured efficiency values are corrected for the escape losses due to the K X-rays of silicon and the absorptions in materials related to source-to-detector geometry. The corrected efficiency values have turned out to be nearly constant regardless of photon energy.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.141-145
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• 2017

Spectrum sensing is a critical functionality of Cognitive Radio(CR) systems and the CR systems can be applied to RF energy harvesting systems to improve an energy harvesting rate. There are number of spectrum sensing techniques. One of techniques is energy detection. Energy detection is the simplest detection method and is the most commonly used. But, energy detection has a hidden terminal problem in real wireless communication, because of secondary user (SU) can be affected by frequency fading and shadowing. Cooperative spectrum sensing can solve this problem using spatial diversity of SUs. But it has a problem of increasing data by processing multiple secondary. So, we propose the system model using adaptive spectrum sensing algorithm and system model is simulated. This algorithm chooses sensing method between single energy sensing and cooperative energy according to the received signal's Signal to Noise Ratio (SNR) from Primary User (PU). The simulation result shows that adaptive spectrum sensing has an efficiency and improvement in CR systems.

• Journal of Biomedical Engineering Research
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• v.16 no.2
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• pp.129-138
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• 1995

High-energy and high-dose X-ray and electron beam have been used in radiation therapy after developing particle accelerators. It is recommended to irradiate patients exect real dose for improving therapy effectiveness by International Committee on Radiation Units and Measurement. The radiation detector for daily beam checks of medical accelerators is described. Using thirteen silicon diodes, we have designed the diode detector providing information about calibration, beam symmetry, flatness, stability variation according to radiation damage, time and general quality assurance for both photon and eletron beams. we also compared these measurement values with those of using ionization chamber, film and semiconductor dosimeter.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.5
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• pp.665-670
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• 2013

In this paper, we propose a new method of speech detection and phoneme segmentation. We investigate the effect of applying preemphasis FIR filtering on the speech signal before the usual speech detection that utilizes the energy profile for discriminating signals from background noise. By this procedure, only the speech section of low energy and frequency becomes distinct in energy profile. It is verified experimentally that the silence/speech boundary becomes sharper by applying the filtering compared to the conventional method. By applications of this procedure, phoneme segmentation is also found to be much facilitated.

• Journal of Korea Multimedia Society
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• v.14 no.7
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• pp.884-894
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• 2011

We proposed a new algorithm for detection of first(S1) and second heart sound(S2). Many researches for detecting primary components and those algorithms have good performance at normal heart sound, but the performance is degraded at abnormal heart sound which is contain murmurs generated by heart disease. Therefore we proposed the S1, S2 detection algorithm using three-order Shannon energy difference. Using S1, S2's character which has large energy difference than murmurs, it is reduced noise and detected S1, S2. According to simulation results, not only normal heart sound but also abnormal heart sound, the proposed algorithm has better performance than former study at abnormal heart sound.