• Journal of Korean Medicine for Obesity Research
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• v.15 no.2
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• pp.75-92
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• 2015

Objectives: This study was designed to investigate the effect of Gami-cheongpyesagan-tang extract (GCST) on high fat diet-induced obesity in rats. Methods: The mice were divided into six groups; normal diet control, high fat diet control (HFD), HFD+GCST administrated group (100, 200, and 400 mg/kg) and olistat-admistrated group. Obesity was induced by high fat diet (45%) for 7 weeks in mice, and GCST was administrated orally every day for 7 weeks. The body weight, food intake, and serological markers such as total cholesterol, triglyceride, lipid contents, leptin, adiponectin and glutamic oxaloacetic transaminase/glutamic pyruvic transaminase were measured in mice. The mRNA expression of obese-associating genes such as sterol regulatory element-binding protein (SREBP)-1c, fatty acid synthase (FAS), stearoyl-CaP desaturase (SCD-1), peroxisome proliferator-activated receptor $(PPAR)-{\alpha}$, COA oxidase (ACO), and carnitine palmitoyltransferase ($CPT-1{\alpha}$) was analyzed by reverse transcription polymerase chain reaction. Results: The administration of GCST at 400 mg/kg, significantly reduced the increase of body weight and food intake as well as food efficiency compared to HFD group. GCST decreased the serum levels of triglyceride, total cholesterol, low-density lipoprotein-cholesterol, leptin in HFD control group and inhibited lipid accumulation in liver and adipose tissues, but did not increase high-density lipoprotein-cholesterol. In the liver tissues of GCST administrated HFD group, the mRNA levels of SREBP-1c, FAS and SCD-1 were decreased and the mRNA levels of $PPAR-{\alpha}$, ACO, and $CPT-1{\alpha}$ were increased. Conclusions: These results indicate that GCST could improve high fat diet induced obesity through inhibiting the hyperlipidemia in fatty Liver. It suggest that GCST may be used clinically for declining the accumultion of body fat with hyperlipidemia.

• Journal of Korean Medicine Rehabilitation
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• v.25 no.1
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• pp.27-44
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• 2015

Objectives This study was carried out to find the effects of Gami-cheongyulsaseub-tang (hereinafter referred to GCST) on the inhibition of zymosan-induced pain in rats and collagen II-induced arthritis (CIA) in DBA/1J mouse. Methods As an acute inflammatory pain model, peripheral inflammation was induced by intraplantar injection of zymosan into the right hind paw in rats and then the hyperalgesia and pain regulating factors in spinal cord were analyzed. As a chronic inflammation model, the mixture of collagen II and complete Freund's adjuvant was treated into mice to establish rheumatoid arthritis and then body weight, thickness of hind paw, pathological change of spleen, immunological rheumatoid factor (IgG1, IgG2a, IgG2b, IgM and anti-collagen II), pro-inflammatory cytokines, and bone injury were analyzed. Results In the acute inflammatory pain model, GCST significantly inhibited the thermal and mechanical hyperalgesia and the pain regulating factors, including Fos, CD11b, PKA and PKC, in the spinal cord with a dose-dependent manner. In the chronic rheumatoid arthritis model, GCST administration decreased arthritic index and paw edema as compared with CIA control group. In particular, GCST reduced significantly the serum levels of total IgG2a, IgG2b, IgM, and specific anti-collagen II, but not total IgG1. GCST also resulted in the attenuation of bone injury and spleen enlargement/adhesion in CIA mice. Moreover, the secretion of pro-inflammatory cytokines TNF-${\alpha}$ and IL-$1{\beta}$ in CIA mice was significantly reduced by GCST in a dose-dependent manner. Conclusions Comparison of the results in this study showed that GCST had anti-nociceptive and immunomodulatory effects. These data imply that GCST can be used as an effective drug for not only rheumatoid arthritic pain but also other auto-immune diseases.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.3
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• pp.154-161
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• 2013

In this paper, Gabor cosine and sine transform considered as human visual filter is applied to watermarking methods for digital images. Four algorithms by using singular values or principal components of SVD in the frequency domain are proposed for watermark embedding and extraction. Two dimensional image is used as an embedded watermark. To measure the similarity between the embedded watermark image and the extracted one, a normalized correlation value is computed for the comparison of the four proposed methods with various attacks. Extracted watermark images are also provided for visual inspection. The proposed GCST-SVD method which embeds a watermark image into the lowest vertical or horizontal ac frequency band can provide useful watermarking algorithm with high correlation values and visual watermark features from experimental results for various attacks.

• Journal of the Institute of Convergence Signal Processing
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• v.13 no.3
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• pp.142-149
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• 2012

Various image transformations can be used to compress images, to reduce noises in images and to extract useful features. Watermarking techniques using DCT and DWT have been a lot of research interest in the spread of multimedia contents. In this paper, Gabor cosine and sine transform considered as human visual filter is applied to embedding and extraction of watermarks for digital images. The proposed transform is used for watermarking with fifteen attacks. Randomly normal distributed noises are used as an embedded watermark. To measure the similarity between the embedded watermark and extracted one, a correlation value is computed and furthermore is compared with that of existing DCT method. Correlation values of extracted watermark are computed with randomly normal distributed noise sequences, and the sequence with the largest correlation value is declared as the embedded watermark. Frequency components are divided into various bands. Experimental results for low frequency and mid-frequency bands have shown that the proposed GCST provides a good watermarking algorithm and its performance is better than DCT.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.4
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• pp.253-260
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• 2008

Image denoising as one of image enhancement methods has been studied a lot in the spatial and transform domain filtering. Recently wavelet transform which has an excellent energy compaction and a property of multiresolution has widely used for image denoising. But a transform based on human visual system is visually useful if an end user is human beings. Therefore, Gabor cosine and sine transform which is considered as human visual filter is applied to image denoising areas in this paper. Denoising performance of the proposed transform is compared with those of the derivatives of Gaussian transform being another human visual filter and of discrete wavelet transform in terms of PSNR. With three levels of various noises, experimental results for real images show that the proposed transform has better PSNR performance of 0.41dB than DWT and 0.14dB than DGT.

• Journal of the Institute of Convergence Signal Processing
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• v.16 no.4
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• pp.122-128
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• 2015

As multimedia information is spread over cyber networks, problems such as protection of legal rights and original proof of an information owner raise recently. Various image transformations of DCT, DFT and DWT have been used to embed a watermark as a token of ownership. Recently, SVD being used in the field of numerical analysis is additionally applied to the watermarking methods. A watermarking method is proposed in this paper using Gabor cosine and sine transform as well as SVD for embedding and extraction of watermarks for digital images. After delivering attacks such as noise addition, space transformation, filtering and compression on watermarked images, watermark extraction algorithm is performed using the proposed GCST-SVD method. Normalized correlation values are calculated to measure the similarity between embedded watermark and extracted one as the index of watermark performance. Also visual inspection for the extracted watermark images has been done. Watermark images are inserted into the lowest vertical ac frequency band. From the experimental results, the proposed watermarking method using the singular vectors of SVD shows large correlation values of 0.9 or more and visual features of an embedded watermark for various attacks.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.1
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• pp.1-8
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• 2010

Noise removal methods for noisy images have been studied a lot in the domain of spatial and transform filtering. Low pass filtering was initially applied in the spatial domain. Recently, discrete wavelet transform has widely used for image denoising as well as image compression due to an excellent energy compaction and a property of multiresolution. In this paper, Gabor cosine and sine transform which is considered as human visual filter is applied to image denoising areas using soft thresholding technique. GCST is compared with excellent wavelet transform which uses existing soft thresholding methods from PSNR point of view. Resultant images removed noises are also visually compared. Experimental results with adding four different standard deviation levels of Gaussian distributed noises to real images show that the proposed transform has better PSNR performance of a maximum of 1.18 dB and visible perception than wavelet transform.