• Journal of Information Processing Systems
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• 제19권3호
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• pp.275-288
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• 2023

Many image edge details are easily lost in the image denoising process, and the smooth image regions are prone to produce jagged. In this paper, we propose a wavelet-based image global k- singular value decomposition variational method to remove image noise. A layer of wavelet decomposition is applied to the noisy image first. Then, the image global k-singular value decomposition (IGK-SVD) method is used to remove the random noise of low-frequency components. Furthermore, a constructed variational denoising method (VDM) removes the random noise in the high-frequency component. Finally, the denoised image is obtained by wavelet reconstruction. The experimental results show that the proposed method's peak signal-to-noise ratio (PSNR) value is higher than other methods, and its structural similarity (SSIM) value is closer to one, indicating that the proposed method can effectively suppress image noise while retaining more image edge details. The denoised image has better denoising effects.

• 한국전기전자재료학회논문지
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• 제11권11호
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• pp.1043-1048
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• 1998

The decomposition performance of the Surface induced Plasma Chemical Processing(SPCP) for benzene, toluene, xylene and $NO_2$ were experimentally examined. Discharge exciting frequency range was 5kHz and 10kHz, and low frequency discharge requires high voltage to inject high electric power in gas and to decompose contaminants. The decomposition rate of dioxide nitrogen for 5kHz power in gas and to decompose contaminants. The decomposition rate of dioxide nitrogen for 5kHz power supply is only 85%, but it’s rate for 10kHz power supply is very high, more than 96% when peak voltage is 12kv. Aromatic hydrocarbon vapor of up to 1000ppm is almost throughly decomposed at the flow rate of 1000$\ell$/min or lower rate under the discharge with electric power of several hundred watts. High decomposition rate is shown in every case, that is, for SPCP reactor is necessary to obtain the decomposition rate of more than 80~98%. The decomposition rate of benzene, toluene and xylene were 90~98% and dioxide nitrogen was 45~96%.

• Macromolecular Research
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• 제12권5호
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• pp.490-492
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• 2004

We report a new method using a heating medium for the thermal decomposition of epoxy resin (EP) at temperatures ranging from 50 to 200$^{\circ}C$. EP decomposition also occurred below 50$^{\circ}C$ during a 6-day period to generate bisphenol A (BPA) at concentrations as high as 5 ppm. When polyethylene glycol was used as a heating medium, we determined the kinetics of the EP decomposition at low temperature. We determined the apparent activation energy of the overall decomposition to be 40.8 kJ/mol and the frequency factor to be 2.3${\times}$10$^3$ by monitoring the rate of BPA formation. Thus, EP is clearly unstable upon the application of heat.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2005년도 봄학술 발표회 논문집(I)
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• pp.363-366
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• 2005

The radar method based non-destruction inspection stands in the spotlight of concrete tunnel lining due to the advantages of less restrictions of applicability, simpleness and quickness. However, in the case of utilizing at constructions, the decomposition ability is decreased because the effect of damping and dispersion is potent and the utilization of high frequency is difficult. In particular, it is very difficult to investigate the size and thickness of tunnel using the low frequency radar with low decomposition ability In this work, to resolve the above problems, the effect of arrangement between adjacent tunnels is investigated utilizing the low frequency radar and results are reported

• 한국항공우주학회지
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• 제47권10호
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• pp.720-727
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• 2019

하이브리드 로켓 연소의 저주파수 연소불안정은 고체연료의 열적지연(Thermal Lag)과 경계층 유동 변화에 의한 열전달 진동의 공진에 의해 발생한다. 본 연구는 연료 표면 근처의 경계층 유동의 교란이 어떤 물리적 과정에 의해 발생하여 연소불안정으로 발달하는지를 실험적으로 확인하였다. 특히 산화제의 스월 분사는 연소 안정화에 매우 큰 기여를 하므로 스월 강도를 증가시키며 경계층의 변화와 연소불안정의 발생과정을 연구하였다. 경계층 섭동을 확인하기 위하여 연소 유동장을 가시화하였고 이미지에 대한 POD(Proper Orthogonal Decomposition) 분석을 시도하였다. 스월 강도가 증가할수록 500Hz 대역 고주파수 p', q'의 결합이 약해지며 열적지연과 유사한 주파수 특성을 갖는 Rayleigh Index의 섭동 발생도 약해져 경계층 진동의 발생이 점차 감소하는 것을 관찰하였다. 따라서 고주파수 p', q'의 주기적인 결합에 의한 축 방향 경계층 진동이 나타나면 열적지연 주파수와 공진에 의한 연소불안정이 발생함을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2068-2082
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• 2023

With the rapid development of deep learning, Depth Map Super-Resolution (DMSR) method has achieved more advanced performances. However, when the upsampling rate is very large, it is difficult to capture the structural consistency between color features and depth features by these DMSR methods. Therefore, we propose a color-image guided DMSR method based on iterative depth feature enhancement. Considering the feature difference between high-quality color features and low-quality depth features, we propose to decompose the depth features into High-Frequency (HF) and Low-Frequency (LF) components. Due to structural homogeneity of depth HF components and HF color features, only HF color features are used to enhance the depth HF features without using the LF color features. Before the HF and LF depth feature decomposition, the LF component of the previous depth decomposition and the updated HF component are combined together. After decomposing and reorganizing recursively-updated features, we combine all the depth LF features with the final updated depth HF features to obtain the enhanced-depth features. Next, the enhanced-depth features are input into the multistage depth map fusion reconstruction block, in which the cross enhancement module is introduced into the reconstruction block to fully mine the spatial correlation of depth map by interleaving various features between different convolution groups. Experimental results can show that the two objective assessments of root mean square error and mean absolute deviation of the proposed method are superior to those of many latest DMSR methods.

• Geosciences Journal
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• 제22권6호
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• pp.1027-1039
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• 2018

Seismic attributes are often used to identify lithology and evaluate reservoir properties. However, interpretation based only on structural attributes and without knowledge of the Vp/Vs ratio can limit the ability to evaluate changes in heavy oil reservoirs. These limitations are often due to less obvious impedance differences. In order to investigate pieces of evidence of a heavy-oil shaly-sand reservoir from seismic data, besides geochemistry, we studied seismic attributes and characterized the reservoir using seismic stack data and well logging data. The study area was the Muglad rift basin in South Sudan. We conducted a seismic complex analysis to evaluate the target reservoir. To delineate the frequency responses of the different lithological units, we applied the spectral decomposition method to the target reservoir. The most unexpected result was continuous bands of strong seismic reflectors in the target reservoir, which extended across the borehole. Spectral decomposition analysis showed that the low-frequency zone of 25 Hz dominant frequency was consistent with instantaneous attributes. This approach can identify lithology, reveal frequency anomalies, and filter the stacked section into low- and high-frequency bands. The heavy-oil reservoir zones exhibited velocity attenuation and the amplitude was strongly frequency dependent.

• 전자공학회논문지
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• 제54권1호
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• pp.80-87
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• 2017

본 논문에서는 선형 부 대역 분해를 이용하여 입력 영상을 분해하고 시각적 민감도가 낮은 고주파 영역만을 효과적으로 억제하여 지각적 동영상 부호화의 효율을 향상시킬 수 있는 전처리 기법을 제안한다. 먼저 소정의 선형 부 대역 분해로 각 입력영상을 여러 주파수 대역들로 나눈다. 그런 다음 인간의 시각적 구조에서 거의 인지가 되지 않는 고주파 대역들에만 1보다 작은 이득 값들을 적용하여 해당 주파수 대역 정보를 억제시킨다. 이와 같이 고주파가 억제된 영상들을 소정의 비디오 인코더로 압축한다. 모의 실험을 통해 제안 기법의 적용 전후 압축 결과를 비교하여 시각적 차이 없음을 확인하였다. 또한, 제안 기법을 H.264 인코더의 전처리로 적용하였을 때 적용 전 대비 평균 13.12%의 데이터 감소 효과를 얻었다.

• International Journal of Naval Architecture and Ocean Engineering
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• 제11권2호
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• pp.939-951
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• 2019

A novel empirical mode decomposition strategy based on Fourier transform and band-pass filter techniques, contributing to efficient instantaneous vibration analyses, is developed in this study. Two key improvements are proposed. The first is associated with the adoption of a band-pass filter technique for intrinsic mode function sifting. The primary characteristic of decomposed components is that their bandwidths do not overlap in the frequency domain. The second improvement concerns an attempt to design narrowband constraints as the essential requirements for intrinsic mode function to make it physically meaningful. Because all decomposed components are generated with respect to their intrinsic narrow bandwidth and strict sifting from high to low frequencies successively, they are orthogonal to each other and are thus suitable for an instantaneous frequency analysis. The direct Hilbert spectrum is employed to illustrate the instantaneous time-frequency-energy distribution. Commendable agreement between the illustrations of the proposed direct Hilbert spectrum and the traditional Fourier spectrum was observed. This method provides robust identifications of vibration modes embedded in vibration processes, deemed to be an efficient means to obtain valuable instantaneous information.

• 제어로봇시스템학회논문지
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• 제14권12호
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• pp.1232-1237
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• 2008

This paper introduces an application of wavelet analysis to the sensor fusion of GPS/INS/baroaltimeter. Using wavelet analysis the baro-inertial altitude is decomposed into the low frequency content and the high frequency content. The high frequency components, 'details', represent the perturbed altitude change from the long time trend. GPS altitude is also broken down by a wavelet decomposition. The low frequency components, 'approximations', of the decomposed signal address the long-term trend of altitude. It is proposed that the final altitude be determined as the sum of both the details of the baro-inertial altitude and the approximations of GPS altitude. Then the final altitude exclude long-term baro-inertial errors and short-term GPS errors. Finally, it is shown from the test results that the proposed method produces continuous and sensitive altitude successfully.