• Korean Journal of Oriental Medicine
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• v.11 no.2
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• pp.155-165
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• 2005

This study was investigated to determine the quality control of Oriental medicine from stores dealing in Oriental medicine around Seoul and Daegu. We tested total 120 samples that widely used 15 species in herbal medicine (Lycii Fructus, Platycodi Radix, Angelicae Gigantis Radix and 12 others) being collected from Oriental medicine clinic, pharmacy, Oriental pharmacy, Oriental medical hospital and Oriental drug store. We have estimated Oriental medicine by K.P. (Korean Pharmacopoeia), K.H.P(Korean Herbal Pharmacopoeia) and announcement of KFDA. The items of examination were identification, purity, loss on drying, ash, acid insoluble ash, extract content, essential oil content, assay, heavy metal limit, and pesticides residue(BHC, DDT, Aldrin, Endrin, Dieldrin). As a result, 20 samples in total 120 samples were not satisfied with the standard and 7 species in total 15 species were not satisfied with the standard. Identification test, extract content test and pesticides residue(BHC, DDT, Aldrin, Endrin, Dieldrin) were satisfied with the standard. The result will be the basic data for the quality control of Oriental medicine.

• Journal of Broadcast Engineering
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• v.20 no.3
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• pp.379-387
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• 2015

In recent years, copyright violations from illegal copying and distribution of e-comic contents have become an important issue. Fingerprinting techniques have been emerged to provide a fast and reliable identification method of identifying e-comic contents. When illegally scanned or camera captured comic contents are distributed, they suffer from distortions. So the fingerprint differs from the original version. This paper presents a restoration framework for correcting geometric distortions in distorted comics to improve the comic content identification.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.6
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• pp.772-780
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• 1998

The purpose of this research was to investigate the fiber content of and the characteristics of non-fibrous matters within the textiles exhumed from Keumreung-Ri, Pajoo of Kyunggi-do. Various microscopic methods' and the IR spectroscopy were used for the identification of fibers. The KS K 0251 Test Method as well as the IR spectroscopy and the SEM were used for the analysis of econ-fibrous matters. Fiber identification showed that each of the Pajoo samples were composed either of silk, cotton, or ramie. The results of the analysis of non-fibrous matters were as follows. The amount of water-extracted compound exceeded that of chloroform-extracted compound in both Pajoo 2 and Pajoo 5 samples. In Pajoo 5 sample which have already been dry cleaned using the mixed solution of n-hexane and n-dacane, the amount of chloroform extracted compound was 0% of the total extracted matter. The enzyme and HCI disintegration steps further removed the soils those were nonsoluble in water or chloroform. The most extraction was achieved at the HCI extraction stage.

• Journal of information and communication convergence engineering
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• v.11 no.1
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• pp.62-68
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• 2013

This paper proposes a method for identification of harmful video images based on the degree of harmfulness in the video content. To extract harmful candidate frames from the video effectively, we used a video color extraction method applying a projection map. The procedure for identifying the harmful video has five steps, first, extract the I-frames from the video and map them onto projection map. Next, calculate the similarity and select the potentially harmful, then identify the harmful images by comparing the similarity measurement value. The method estimates similarity between the extracted frames and normative images using the critical value of the projection map. Based on our experimental test, we propose how the harmful candidate frames are extracted and compared with normative images. The various experimental data proved that the image identification method based on the 2-dimensional projection map is superior to using the color histogram technique in harmful image detection performance.

• Journal of Physiology & Pathology in Korean Medicine
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• v.29 no.3
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• pp.246-255
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• 2015

The purpose of this study is to investigate the reliability and validity of the questionnaire of pattern identification (PI) in traditional chinese medicine (TCM), through the systematic review of china national knowledge infrastructure (CNKI) database. We searched the articles related with reliability and validity of the questionnaire of PI and published from January 1994 to December 2013. Seventeen questionnaires were analyzed in this study. The twelve (70.6%) questionnaires were developed on the base of specific disease, and five (29.4%) ones were developed on the base of non-specific disease. Three of PI questionnaires showed low inter-item consistency reliability. Exploratory factor analysis of construct validity, content validity, and criterion validity analysis were commonly used on the assessment of validity, but none of them was analysed at the same study. There was only one questionnaire of the ischemic stroke that examined the sensitivity and specificity of both training and test groups in spite of the absence of a gold standard.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.677-687
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• 2022

We propose a detection algorithm based on tree-structured convolutional neural networks (TsCNNs) that finds pornography, propaganda, or other inappropriate content on a social media network. The algorithm sequentially applies the typical convolutional neural network (CNN) algorithm in a tree-like structure to minimize classification errors in similar classes, and thus improves accuracy. We implemented the detection system and conducted experiments on a data set comprised of 6 ordinary classes and 11 inappropriate classes collected from the Korean military social network. Each model of the proposed algorithm was trained, and the performance was then evaluated according to the images and videos identified. Experimental results with 20,005 new images showed that the overall accuracy in image identification achieved a high-performance level of 99.51%, and the effectiveness of the algorithm reduced identification errors by the typical CNN algorithm by 64.87 %. By reducing false alarms in video identification from the domain, the TsCNNs achieved optimal performance of 98.11% when using 10 minutes frame-sampling intervals. This indicates that classification through proper sampling contributes to the reduction of computational burden and false alarms.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.60-66
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• 2021

Blockchain is a technology that enables trust-based consensus and verification based on a decentralized network. Distributed ID (DID) is based on a decentralized structure, and users have the right to manage their own ID. Recently, interest in self-sovereign identity authentication is increasing. In this paper, as a method for transparent and safe sovereignty management of data, among data pseudonymization techniques for blockchain use, various methods for data encryption processing are examined. The public key technique (homomorphic encryption) has high flexibility and security because different algorithms are applied to the entire sentence for encryption and decryption. As a result, the computational efficiency decreases. The hash function method (MD5) can maintain flexibility and is higher than the security-related two-way encryption method, but there is a threat of collision. Zero-knowledge proof is based on public key encryption based on a mutual proof method, and complex formulas are applied to processes such as personal identification, key distribution, and digital signature. It requires consensus and verification process, so the operation efficiency is lowered to the level of O (log_eN) ~ O(N²). In this paper, data encryption processing for blockchain DID, based on zero-knowledge proof, was proposed and a one-way encryption method considering data use range and frequency of use was proposed. Based on the content presented in the thesis, it is possible to process corrected zero-knowledge proof and to process data efficiently.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.47-53
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• 2012

Economic crisis, efforts to overcome the digital content industry development at home and abroad have been racing in the country's future lies in the digital content industry. Therefore, the digital content industry through vision, model identification knowledge-based global digital content market-based deployment is required. For research purposes the digital content industry to derive an alternative to national industrial development that will lay the groundwork. The deployment order for the first digital content industry, SWOT analysis performed to derive the Korean-specific model. As a result, measures based on the advancement of digital content industry as a long-term vision and specific goals are presented as staged. The age of convergence of the u-media content markets in government, corporations, consumers, and these form the structure of a virtuous cycle distribution systems for energy by being active, synergistic effects are obtained. Above all, based on the content industry to secure internal and external growth is key. Vision of the digital content, the growth momentum of the national social development policies to be used as a role model by changing the way a series of courses is required.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.148-148
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• 2017

Soybean is an important economical resource of protein and oil for human and animals. The genetic basis of seed protein and oil content has been separately characterized in soybean. However, the genetic relationship between seed protein and oil content remains to be elucidated. In this study, we used a combined analysis of phenotypic correlation and linkage mapping to dissect the relationship between seed protein and oil content. A $F_{10:11}$ RIL population containing 222 lines, derived from the cross between two Korean soybean cultivars Seadanbaek as female and Neulchan as male parent, were used in this experiment. Soybean seed analyzed were harvested in three different experimental environments. A genetic linkage map was constructed with 180K SoyaSNP Chip and QTLs of both traits were analyzed using the software QTL IciMapping. QTL analyses for seed protein and oil content were conducted by composite interval mapping across a genome wide genetic map. This study detected four major QTL for oil content located in chromosome 10, 13, 15 and 16 that explained 13.2-19.8% of the phenotypic variation. In addition, 3 major QTL for protein content were detected in chromosome 10, 11 and 16 that explained 40.8~53.2% of the phenotypic variation. A major QTLs was found to be associated with both seed protein and oil content. A major QTL were mapped to soybean chromosomes 16, which were designated qHPO16. These loci have not been previously reported. Our results reveal a signi cant genetic relationship between seed protein and oil fi content traits. The markers linked closely to these major QTLs may be used for selection of soybean varieties with improved seed protein and oil content.

• The Korean Journal of Food And Nutrition
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• v.11 no.5
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• pp.565-569
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• 1998

The strain BY-445 which produces new inhihitors of ${\alpha}$-amylase was isolated from a soil sample and identified. The aerial hyphae of this strain develope in the from of open spirals. The spore chain of BY-445 strain appears in spiral shape with spiny surface. Melanoid and soulble pigments were not observed. Gelatin was liquefied, and skin milk and starch was also hydrolyzed. The isolate contained LL-diaminopimelic acid in its cell wall hydrolysate. The content of fatty acid 16:iso, 15:0 anteiso and 16:0 was 25:30, 16.19 and 13.16%, respectively. BY-445 strain was closely related to Streptomyces violaceusinger but it was different from this strain in some cultural and physiological characteristics. This strain was, therefore, designated as Streptomyces sp. BY 445.