• Journal of the Institute of Electronics Engineers of Korea SD
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• v.38 no.8
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• pp.27-33
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• 2001

The performance of the ordinary Fiber Bragg Grating(FBG) sensor strain measurement system, which uses Fabry-Perot filter for scanning wavelength, has limitation for application because of hysteresis characteristics of PZT element in the filter, slow scan rate of the filter and the high cost of system. We proposed and experimented a multiple FBG sensor system using light emitting diode(LED) as a light source and adapting Code Division Multiplexing(CDM) method to separating out individual sensor signal. Output signals for a applied static and dynamic strain and crosstalk levels between sensor signals were measured. The price of the system is very loss and the response speed is very fast. Crosstalk levels between sensor signals below - 30 dB were demonstrated.

• Investigative Magnetic Resonance Imaging
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• v.4 no.2
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• pp.120-127
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• 2000

Adaptive template filtering has been proposed recently for enhancement of signal-to-noise ratio without loss of resolution. In the adaptive template filtering, an optimal template among multiple templates is selected, then linear least square error filtering based on the template is applied in vowel by vowel basis. In some magnetic resonance imaging, where the distribution of gray level has relatively small dynamic range, e.g., $T_1$ imaging, however, artificial stair-like artifact is observed at near edges. This is partially due to the edge enhancement effect in such yokels that contain multiple compounds at the boundaries of tissues. The gray levels of these yokels become similar gray levels of near dominant vowels that contain single compound by the adaptive filtering, which enlarges edge discontinuities. In this paper, we propose a technique to eliminate such artifact by identifying those yokels that contain multiple compounds and assigning the largest template for them. Filtered images with the proposed technique show substantial visual enhancement at the edges without degradation of peak signal-to-noise ratio compared to the original adaptive template filtering for both magnetic resonance images and phantom images.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.840-847
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• 2022

In a deep neural network (DNN)-based speech enhancement, using global and local input speech information is closely related to model performance. Recently, a nested U-Net structure that utilizes global and local input data information using multi-scale has bee n proposed. This nested U-Net was also applied to speech enhancement and showed outstanding performance. However, a single skip connection used in nested U-Nets must be modified for the nested structure. In this paper, we propose a multi-level skip connection (MLS) to optimize the performance of the nested U-Net-based speech enhancement algorithm. As a result, the proposed MLS showed excellent performance improvement in various objective evaluation metrics compared to the standard skip connection, which means th at the MLS can optimize the performance of the nested U-Net-based speech enhancement algorithm. In addition, the final proposed m odel showed superior performance compared to other DNN-based speech enhancement models.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.9
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• pp.1672-1678
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• 2007

The communication systems and characteristics of transmit are very importance a serious view of ubiquitores society. The high rate systems have to construct for data of voice, graphics and moving-video with the multimedia to transmit on the low frequency band. The rate of data are relation that there are the bandwidth of line and channels, the bit per second and communication-systems. This paper study for the error performance of 2, 4 8 level FSK to transmit amount of data in the communication systems and design to FDM system.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.299-303
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• 2006

XML(eXtensible Markup Language)은 현재 웹에서 데이터 처리의 표준으로 자리 잡고 있다. 하지만 XML-Encryption을 통해 해결하기 어려운 문서 기밀성과 무결성에 대한 관리적인 문제가 발생한다. 본 논문에서는 시스템 내부 사용자가 한 번의 데이터 요청을 통해 여러 외부 사용자의 접근권한에 맞게 신뢰 가능한 데이터를 전달하며, 모든 사용자는 자신이 가지고 있는 그룹키를 통해 일회성인 레벨키를 생성하여 자신의 접근권한에 맞는 데이터를 볼 수 있는 XML 문서 보안 방법을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.505-507
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• 1998

상속은 객체 지향 원리에서 만의 특성으로 추상화 레벨을 높여주고, 소프트웨어의 재사용을 강력히 지원하며, 대체 원리를 따른다. 또한 유지 보수의 용이성, 신뢰성등의 잇점을 제공한다. 그러나 측정 결과에 따르면 상속 계층이 깊어질수록 재사용이 어렵다고 조사되었으며 이는 재사용뿐아니라 개발에 있어서도 장애의 요인이 된다. 상속의 깊이를 최소화하기 위해서는 우선 상속 계층에서 직접적, 또는 간접적으로 사용되는 instance variable과 method만을 제외하고는 모두 삭제되어야 한다. 그러나, 다형성이 적용된 클래스는 정적(static) 분석이 불가능하므로 다형성을 제거하되, 다형성이 적용되었을 때와 동일한 모든 state, 기능 및 동작이 유지된 상태에서 처리되어야 한다. 다형성이 제거될 때 구현의 세부 사항은 변경하지 않음으로써 black box의 이점을 살린다. 다중상속의 경우는 각각의 상속 경로에 대하여 동일한 처리를 반복 수행하여 결과를 얻을 수 있으며, instance variable과 method의 access 레벨에 따라 처리 방법이 조금씩 달라진다. 본 논문에서는 C++에서의 다형성과 불필요한 instance variable과 method의 제거알고리즘에 대하여 논한다.

• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.659-662
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• 2005

In this paper, we proposed the novel hybrid multi-level inverter using combination of the output voltage of transformers to reduce the THD(Total Harmonic Distortion) and improve the waveform of output voltage. The proposed multi-level inverter used the output of transformer which is 1times, 2times, 4times of input of the transformers. So we increased the output voltage from the reduce the number of switching component and transformer. Also, we tested the proposed prototype 15-level inverter to clarify the proposed electric circuit and reasonableness of control signal for the proposed multi -level PWM inverter.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1491-1493
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• 2015

본 논문에서는 GPU를 이용하여 x-ray영상의 질을 개선시키기 위해 라플라시안 피라미드 방법을 제시한다. 의료영상에서 중요시하는 특징의 추출을 위해 원영상을 다중레벨의 부영상으로 신호를 분해하며, 각 레벨에서 가우시안 스무딩 함수를 사용하여 영상의 대비를 확장시킨다. 분해된 영상을 기반으로 전체영상을 재구성하여 영상의 질을 향상시키게 된다. 이러한 과정은 많은 계산을 필요로하며, 효과적이고 바른 처리를 위해 GPU를 사용한다., 결과에서 GPU를 이용한 cuda 프로그램이 효과적으로 동작하며, 영상의 질을 향상시킴을 보인다.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.133-145
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• 2004

Combining multiple classifiers to obtain improved performance over the individual classifier has been a widely used technique. The task of constructing a multiple classifier system(MCS) contains two different issues : how to generate a diverse set of base-level classifiers and how to combine their predictions. In this paper, we review the characteristics of the existing multiple classifier systems: bagging, boosting, and stacking. And then we propose new MCSs: stacked bagging, stacked boosting, bagged stacking, and boasted stacking. These MCSs are a sort of hybrid MCSs that combine advantageous characteristics of the existing ones. In order to evaluate the performance of the proposed schemes, we conducted experiments with nine different real-world datasets from UCI KDD archive. The result of experiments showed the superiority of our hybrid MCSs, especially bagged stacking and boosted stacking, over the existing ones.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.3
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• pp.453-458
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• 2013

Aside from the issues like energy saving and maximizing network lifetime. WMSN has another issue to deal with: support of quality of service(QoS) which is required especially for handling real-time data such as object tracking and data gathering. This paper proposes a multipath routing algorithm considering the distance to sink node, energy level and link quality of neighbour nodes. Proposed algorithm supports multipath routing path with high quality links. Hence it helps to reduce a power consumption concentration that happens in particular set of nodes along the frequently selected route. It also specifies a service quality pattern and a service quality level depending on traffic pattern. By doing this, the proposed algorithm can realize a differentiated service with QoS guaranteed data transmission.