• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.149-158
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• 2005

This paper proposed a blind watermarking method for video contents which satisfies both the invisibility and the robustness to attacks to prohibit counterfeiting, modification, illegal usage and illegal re-production of video contents. This watermarking algorithm targets MPEG compression system and was designed to control the amount of watermarking to be inserted according to the adaptive quantization scale code to follow the adaptive quantization of the compression system. The inserting positions of the watermark were chosen by considering the frequency property of an image and horizontal, vertical and diagonal property of a $8{\times}8$ image block. Also the amount of watermarking for each watermark bit was decided by considering the quantization step. This algorithm was implemented by C++ and experimented for invisibility and robustness with MPEG-2 system. The experiment results showed that the method satisfied enough the invisibility of the inserted watermark and robustness against attacks. For the general attacks, the error rate of the extracted watermark was less than $10\%$, which is enough in robustness against the attacks. Therefore, this algorithm is expected to be used effectively as a part in many MPEG systems for real-time watermarking, especially in the sensitive applications to the network environments.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.167-176
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• 2005

This paper describes how the state tying model based on the decision tree which is one of Acoustic models used for speech recognition optimizes the model by reducing the number of mixture Gaussians of the output probability distribution. The state tying modeling uses a finite set of questions which is possible to include the phonological knowledge and the likelihood based decision criteria. And the recognition rate can be improved by increasing the number of mixture Gaussians of the output probability distribution. In this paper, we'll reduce the number of mixture Gaussians at the highest point of recognition rate by clustering the Gaussians. Bhattacharyya and Euclidean method will be used for the distance measure needed when clustering. And after calculating the mean and variance between the pair of lowest distance, the new Gaussians are created. The parameters for the new Gaussians are derived from the parameters of the Gaussians from which it is born. Experiments have been performed using the STOCKNAME (1,680) databases. And the test results show that the proposed method using Bhattacharyya distance measure maintains their recognition rate at $97.2\%$ and reduces the ratio of the number of mixture Gaussians by $1.0\%$. And the method using Euclidean distance measure shows that it maintains the recognition rate at $96.9\%$ and reduces the ratio of the number of mixture Gaussians by $1.0\%$. Then the methods can optimize the state tying model.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.33-42
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• 2005

In this paper, we propose an efficient segmentation algerian using morphological grayscale reconstruction for region-based coding. Each segmentation stage consists of simplification, marker extraction and decision. The simplification removes unnecessary components to make an easier segmentation. The marker extraction finds the flat zones which are the seed points from the simplified image. The decision is to locate the contours of regions detected by the marker extraction. For the simplification, we use a new connected operator based on the size and contrast. In the marker extraction stage, the regions reconstructed to original values we excluded from the candidate marker. For the other regions, the regions which are larger than structuring elements or have higher contrast than a threshold value are selected as markers. For the initial segmentation, the conventional hierarchical watershed algorithm and the extracted markers are used. Finally in the region merging stage, we propose an efficient region merging algorithm which preserves a high quality in terms of the number of regions. At the same time, the pairs which have higher contrast than a threshold are excluded from the region merging stage. Experimental results show that the proposed marker extraction method produces a small number of markers, while maintaining high quality and that the proposed region merging algorithm achieves a good performance in terms of the image quality and the number of regions.

• Journal of Acupuncture Research
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• v.27 no.5
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• pp.125-134
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• 2010

Objectives : There has been a need for developing and establishing operational curriculum for the education of acupuncture, but defining the level and step of the acupuncture education in clinical perspectives was not thoroughly recognized so far. Methods : We analysed the usage of acupuncture points in the official textbook to recognize the most frequently used acupoints in clinical medicine. It was found that $ST_{36}$ $LI_4$ $SP_6$ $HT_7$ $LR_3$ $CV_{12}$ $BL_{23}$ $CV_6$ $BL_{20}$ $CV_4$ $LI_{11}$ $PC_6$ $KI_3$ $GB_{20}$ $GV_{20}$ $GB_{34}$ $BL_{18}$ $GV_{14}$ $BL_{17}$ $BL_{40}$ are the most frequently used 20 acupuncture points and GB(足少陽擔經), CV(任脈), ST(足陽明胃經) are the most frequently used meridians. Results : The $ST_{36}$, $GB_{34}$, $LI_{11}$ and GB(足太陽膀胱經) meridian are most frequently used for muskuloskeletal disease, $ST_{36}$, $LI_4$, $LI_{11}$ and GB(足太陽膀胱經) meridian are most frequently used for neuromuskular disease, and $ST_{36}$, $CV_{12}$, $BL_{20}$ and CV(任脈) meridian are most frequently used for the digestive system disorders. Conclusions : This study was the first systematic approach to get essential acupuncture points for the education of clinical perspectives of TKM especially for the acupuncture and moxibustion. We found that the $ST_{36}$, $GB_{34}$, $LI_{11}$ and GB(足太陽膀胱經) are the most frequently used acupuncture point and meridian. This study will be used for the development of TKM clinical curriculum.

• Journal of Acupuncture Research
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• v.25 no.5
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• pp.105-116
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• 2008

Objectives : The objective of this study is to investigate the suppressing effect of the cervi pantotrichum cornu pharmacopuncture on the expression of iNOS mRNA and production of NO in synoviocytes from artificially arthritis-induced mice. Methods : In vitro test, synoviocytes extracted from a knee joint of a mouse were cultivated, and the herbal extract of cervi pantotrichum cornu($0.4mg/m{\ell}$, $0.6mg/m{\ell}$, $0.8mg/m{\ell}$, and $1.0mg/m{\ell}$) was added into the wells of synoviocytes to suppress the expression of iNOS mRNA and production of NO. In vivo test, each ten mice were allocated into three groups; Normal group, CIA-elicitated group(CIA), and group treated with cervi pantotrichum cornu pharmacopuncture after CIA elicitation(CCA). The extract of cervi pantotrichum cornu was injected into the acupoint of $SP_{10}$ to observe the changes of foot thickness in mice and the suppression of MIF, TNF-$\alpha$, NF-${\kappa}B$ p65, and iNOS. Results : In vitro test, the expression of iNOS mRNA and production of NO were dose-dependently decreased in the wells of synoviocytes treated with PMA. In vivo test, the suppression of MIF, TNF-$\alpha$, NF-${\kappa}B$ p65, and iNOS was clearly shown in the pieces of the synovial joint treated with the extract of cervi pantotrichum cornu. The foot thickness also decreased dose-dependently. Conclusions : It is speculated that the cervi pantotrichum cornu pharmacopuncture can be applicable to the therapy of rheumatoid arthritis by suppressing the expression of iNOS mRNA and production of NO.

• Journal of Haehwa Medicine
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• v.18 no.1
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• pp.19-28
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• 2009

Objectives: This study was conducted to help clinical studies for treating Functional Dyspepsia with acupuncture. We inspected tendency of studies of acupuncture treatment for functional dyspepsia and analyzed the assessing instrument for it by scrutinizing Pubmed recent publications. Materials and Methods: We inspected 8 theses and scrutinized their objectives, periods, participants, materials and methods, the instrument of assessment for the studies, and criteria and symptom score for questionaire, results and JADAD score. Results: 1. Most studies were published by oriental doctors except one which was published by an American doctor. More and more studies are being published in America and written in English recently. So it is considered that western doctors think that the acupuncture treatment is useful as unorthodox medicine for functional dyspepsia. 2. Among the 4 clinical studies, 2 studies were RCT and 1 study was not RCT and 1 study with vagueness. All 4 clinical studies were not double-blinded because they were about comparison between acupuncture treatment and medicine. 3. ST36, PC6, CV12, BL21 were chiefly used, and auricular point, ST40, SP6 were also used. Manual acupuncture were used in 2 studies, and low frequency pulse and electroacupuncture were used in other studies respectively. 4. 4 clinical studies used 0~3 points symptom score as the instrument of assessment. Additional assessments were on gastric emptying time, EGG and plasma level of motilin. All thesis were not verified of validity and reliability. 5. Among the 4 reviewed thesis, 2 theses were about acupuncture as one of the various treatment of functional dyspepsia, and the other 2 theses were about efficacy of acupuncture treatment. And the result generally showed effectivity of acupuncture treatment. Conclusion: Acupuncture treatment for functional dyspepsia is considered useful as in unorthodox medicine by western doctors, and it is necessary to provide objective instrument for assessing acupuncture treatment for functional dyspepsia.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.271-277
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• 2012

Ten green leafy vegetables were cultivated from medicinal plant seed. Their nutritional content, taste, appearance and texture were evaluated. Moisture content was $91.23{\pm}0.00%$ in $Saururus$ $chinensis$ (Sc), $90.39{\pm}0.05%$ in $Perilla$ $frutescens$ (Pa) and $66.78{\pm}0.05%$ in $Agastache$ $rugosa$ (Ar). The fat content was 8.89% in $Salvia$ $plebeia$ (Sp) and 0.13% in $Peucedanum$ $japonicum$ (Pj). The protein content was $11.1{\pm}0.00%$ in Ar and $0.54{\pm}0.03%$ in Pj. Total sugar content was $20.06{\pm}0.03%$ in $Geum$ $japonicum$ (Gj), $12.73{\pm}0.03%$ in $Coixlacry$ $majobi$ (Cm) and $1.04{\pm}0.03%$ in $Atractylodes$ $japonica$ (Aj). Medicinal leafy vegetables had higher glucose, sucrose and fructose, but lower maltose. Ascorbic acid content was $33.67{\pm}1.40$ mg% in Sc, $27.91{\pm}2.91$ mg% in Pa and $15.68{\pm}1.09$ mg% in At. Chlorophyll content was higher in $Perilla$ $frutescens$ var. $acuta$ Kudo than other leafy vegetables. The evaluation also showed that Cm, Pa and Aj tasted sweeter and had low acidity.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.95-102
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• 2005

In this paper, we propose a user friendly object-based image retrieval system using the interaction between cortex and hippocampus. Most existing ways of queries in content-based image retrieval rely on query by example or query by sketch. But these methods of queries are not adequate to needs of people's various queries because they are not easy for people to use and restrict. We propose a method of automatic color object extraction using CSB tree map(Color and Spatial based Binary をn map). Extracted objects were transformed to bit stream representing information such as color, size and location by region labelling algorithm and they are learned by the hippocampal neural network using the interplay between cortex and hippocampus. The cells of exciting at peculiar features in brain generate the special sign when people recognize some patterns. The existing neural networks treat each attribute of features evenly. Proposed hippocampal neural network makes an adaptive fast content-based image retrieval system using excitatory learning method that forwards important features to long-term memories and inhibitory teaming method that forwards unimportant features to short-term memories controlled by impression.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.79-86
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• 2005

In this paper, we propose a new LINF(Linear Independent Non-negative Factorization) algorithm for real-time face recognition systea This system greatly consists of the two parts: 1) face extraction part; 2) face recognition part. In the face extraction Part we applied subtraction image, the detection of eye and mouth region , and normalization method, and then in the face recognition Part we used LINF in extracted face candidate region images. The existing recognition system using only PCA(Principal Component Analysis) showed low recognition rates, and it was hard in the recognition system using only LDA(Linear Discriminants Analysis) to apply LDA directly when the training set is small. To overcome these shortcomings, we reduced dimension as the matrix that had non-negative value to be different from former eigenfaces and then applied LDA to the matrix in the proposed system We have experimented using self-organized DAIJFace database and ORL database offered by AT(')T laboratory in Cambridge, U.K. to evaluate the performance of the proposed system. The experimental results showed that the proposed method outperformed PCA, LDA, ICA(Independent Component Analysis) and PLMA(PCA-based LDA mixture algorithm) method within the framework of recognition accuracy.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.5
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• pp.66-79
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• 2009

In this paper, we propose a new adaptive intra coding technique using 1-D and 2-D integer transforms for improving coding efficiency of H.264/AVC. Proposed technique selects the most effective transform and prediction mode for each block after processing 1-D and 2-D transforms of all prediction modes. In case of using 1-D transform, $4{\times}4$ block is divided into four $1{\times}4$ or $4{\times}1$ subblocks and then each subblock is predicted and subtracted by using the decoded subblock located at the nearest position in the direction of prediction. After prediction error subblock is processed by 1-D transform and quantization, four subblocks are merged back into original $4{\times}4$ block and then, reordered as 1-D signal by a DC biased zigzag scanning pattern according to the prediction mode. Finally, comparing the coding efficiency between bitstreams based on 1-D transform and conventional 2-D transform, prediction mode and quantized coefficients for each block are decided and corresponding quantized coefficients are transmitted. Experimental results show that the proposed adaptive technique increases 0.34dB in BD-PSNR and decreases 4.03% in BD-Bitrate on the average compared with H.264/AVC.