• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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• pp.195-198
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• 2000

Fractal image compression can reduce the size of image data by contractive mapping of original image. The mapping is affine transformation to find the block(called range block) which is the most similar to the original image. Fractal is very efficient way to reduce the data size. However, it has high distortion rate and requires long encoding time. In this paper, we present the simulation result of fractal and VQ hybrid systems which use different clustering algorithms, normal and improved competitive learning SOFM. The simulation results showed that the VQ hybrid fractal using improved competitive learning SOFM has better distortion rate than the VQ hybrid fractal using normal SOFM.

• 한국음향학회:학술대회논문집
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• 한국음향학회 1985년도 학술발표회 논문집
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• pp.87-94
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• 1985

In this paper, enhancement of speech corrupted by additive white or colored noise is stuided. The nuconstrained frequency-domain block least-mean-square (UFBLMS) adaptation algorithm and its frequency-weighted version are newly applied to speech enhancement. For enhancement of speech degraded by white noise, the performance of the UFBLMS algorithm is superior to the spectral subtraction method or Wiener filtering technique by more than 3 dB in segmented frequency-weighted signal-to-noise ratio(FWSNERSEG) when SNR of speech is in the range of 0 to 10 dB. As for enhancement of noisy speech corrupted by colored noise, the UFBLMS algorithm is superior to that of the spectral subtraction method by about 3 to 5 dB in FWSNRSEG. Also, it yields better performance by about 2 dB in FWSNR and FWSNRSEG than that of time-domain least-mean-square (TLMS) adaptive prediction filter(APF). In view of the computational complexity and performance improvement in speech quality and intelligibility, the frequency-weighted UFBLMS algorithm appears to yield the best performance among various algorithms in enhancing noisy speech corrupted by white or colored noise.

• 대한가정학회지
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• 제43권4호
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• pp.141-159
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• 2005

The purpose of this study is to examine the effects of warning labels of consumption goods on consumer behavior and the consumers' evaluation in order to suggest a policy of warning labels and the Product Liability Law. The following items which are somewhat risky but are used in everyday the were selected: cup noodles, one-touch can foods, washing machine, microwave range, dry cell, hydro-oxygen detergent, baby-walker, and block-toys. Data were collected from 345 respondents by internet survey with the following results. (1) The average score of the effects of warning labels on consumer behavior was so low that warning labels are not considered effective, especially in block-toys, dry cell, and baby-walker. (2) Consumers' evaluation scores on the character size, design and sticking place of warning labels were very low. Therefore an effort to make warning labels more effective is needed.

• 전자공학회논문지 IE
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• 제44권2호
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• pp.47-53
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• 2007

본 논문에서는 Level Control Block (LCB)를 이용한 면광원 인버터를 개발하여 면광원을 이용한 LCD TV 백라이트의 구동특성이 향상되었음을 확인하였다. 또한 LCB를 사용하여 면광원의 시동 시간, 휘도 안정화 시간, 전류의 크기를 조절할 수 있고 개선됨을 확인할 수 있었으며, LCB를 이용하여 면광원램프를 사용한 LCD TV용 백라이트를 넓은 온도범위에서 안정되게 동작시킬 수 있었다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.81-84
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• 2000

Fractal image compression can reduce the size of image data by contractive mapping of original image. The mapping is affine transformation to find the block(called range block) which is the most similar to the original image. Fractal is very efficient way to reduce the data size. However, it has high distortion rate and requires long encoding time. In this paper, we present the simulation result of fractal and VQ hybrid systems which use different clustering algorithms, normal and improved competitive learning SOFM. The simulation results showed that the VQ hybrid fractal using improved competitive learning SOFM has better distortion rate than the VQ hybrid fractal using normal SOFM.

• 콘크리트학회지
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• 제2권2호
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• pp.93-99
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• 1990

본 연구는 극한강도 이론에 입각한 고강도 콘크리트 부재의 설계를 위한 방법 중 가장 중요한 요소의 하나인 응력-변형도 곡선의 이상화에 관한 연구이다. 이를 위하여 보통강도(280kg/$\textrm{cm}^2$)에서 초고강도(1050kg/$\textrm{cm}^2$)까지의 콘크리트를 사용하여 부재를 제작, 시험하였으며, 기존의 여러 가지 이론과 비교검토를 하였다. 주요 변수는 콘크리트 강도이외에 주근의 양과 전단 보강근의 간격으로 하였다. 실험결과 현재으 ACI Building Code에 규정된 직사각형 응격블록은 고강도 콘크리트에도 사용할 수있음을 알 수 있었다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2013년도 하계학술대회
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• pp.180-181
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• 2013

High efficiency video coding (HEVC) appears due to the demand on high compression video coding beyond H.264/AVC in ultra-high definition (UHD) videos. As for intra prediction, HEVC has 35 prediction modes while H.264/AVC has 9 intra modes. To exploit the spatial correlation, we adopt an edge detection method, establish the edge map, and adaptively select the candidate modes using the acquired edge information in a block. The number of the candidate modes is determined through trade-off between computational complexity and coding efficiency. Besides, the range of coding unit sizes is determined using the uniqueness of the edge directions for the given image block. As a result, we reduced the encoding time by 56.8% at the cost of 2.5% BD-BR increase on average compared to Full modes at the HEVC reference software (HM 6.0 [1]).

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 춘계종합학술대회
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• pp.87-90
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• 2007

In cooperative communication systems, the source terminal transmits signal to the destination terminal with the aid of partner terminals. Therefore, the source terminal obtains extra spatial diversity gain. As a result, its performance is enhanced in term of higher achievable transmission rate, the larger coverage range, and the lower bit-error-rate (BER). Space-time codes (STCs) have been applied to cooperative communication systems in distributed fashion, in which the signal is spatially time exploited to obtain gains analogous to those provided by STCs. In this work, we consider the application of orthogonal Space-time Block Codes (OSTBCs) to the cooperative communication systems to further achieve higher diversity gain. The advances of the proposed approach are verified via computer simulations.

• 한국고분자학회:학술대회논문집
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• 한국고분자학회 2006년도 IUPAC International Symposium on Advanced Polymers for Emerging Technologies
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• pp.315-315
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• 2006

A variable surface coating with the potential to fulfill the requirements of industry will be presented. Via controlled radical polymerization methods from a functionalized Polymethylsilsesquioxane delivers an inorganic-organic block copolymer, which can be easily modified and tuned for different applications. Spin coated or dip coated on various substrates show promising results. By using different block copolymers the contact angle on a silicon wafer can be varied in a range of $90^{\circ}\;up\;to\;145^{\circ}$ After curing and complete condensation a perfect adhesion on glasses, plastics and metals is achieved.

• ETRI Journal
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• 제35권6호
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• pp.1021-1028
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• 2013

Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis challenge (FERA2011). In that competition, the Local Gabor Binary Pattern Histogram Sequence descriptor showed the most powerful description capability. In this paper, we introduce hybrid facial representations for facial expression recognition, which have more powerful description capability with lower dimensionality. Our descriptors consist of a block-based descriptor and a pixel-based descriptor. The block-based descriptor represents the micro-orientation and micro-geometric structure information. The pixel-based descriptor represents texture information. We validate our descriptors on two public databases, and the results show that our descriptors perform well with a relatively low dimensionality.