• Mycobiology
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• v.35 no.4
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• pp.215-218
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• 2007

The caterpillar-shaped Chinese medicinal mushroom (DongChongXiaCao) looks like a worm in the winter and like a grass in the summer. The fruiting body has been regarded as popular folk or effective medicines used to treat human diseases such as asthma, bronchial and lung inflammation, and kidney disease. The fruiting bodies of Paecilomyces tenuipes that formed on the living silkworm (Bombyx mon) host were used in this examination. This study was carried out to investigate the proximate composition, soluble sugar, amino acid and fatty acid profiles, and contents of the bioactive ingredient including adenosine and D-mannitol in the fruiting-bodies. The moisture content was 57.56%. Soluble sugars found were glycerol, glucose, mannitol and sucrose, and the contents exceeded $24\;mgg^{-1}dry$ weight. Total free amino acid content was $17.09\;mgg^{-1}dry$ weight. Arginine, glycine, proline and tyrosine were main amino acids. The content of oleic acid in fatty acids was high. Adenosine was more abundant in fruiting bodies than corpus.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.2C
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• pp.162-171
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• 2003

It is difficult to reuse the captured motion data, because the data has a difficulty in editing it. In this paper, a uniform posture mar (UPM) algorithm, one of unsupervised learning neural network is proposed to edit the captured motion data. Because it needs much less computational cost than other motion editing algorithms, it is adequate to apply in teal-time applications. The UPM algorithm prevents from generating an unreal posture in learning phase. It not only makes more realistic motion curves, but also contributes to making more natural motions. Above of all, it complements the weakness of the existing algorithm where the calculation quantity increases in proportion to increase the number of restricted condition to solve the problems of high order articulated body. In this paper, it is shown two applications as a visible the application instance of UPM algorithm. One is a motion transition editing system, the other is a inductive inverse kinematics system. This method could be applied to produce 3D character animation based on key frame method, 3D game, and virtual reality, etc.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.4
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• pp.35-45
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• 2007

Currently, the necessity of inter-system integration and sharing system increases to additionally construct and efficiently utilize the geographical information data in accordance with the increase in demand for geographical information. The provision of the data within the domestic sharing system is led by the tasks within national geographical information distribution network or intra-local governmental combined system. However, any voluntary geographical information sharing cooperation body is increasingly required with the increase in necessity of administrative cooperation among neighboring metropolitan areas, including space planning and development. Accordingly, this study is aimed at looking into the constitutions and roles of cooperation bodies within metropolitan areas by the composition, distribution, update and management of data with special regard to overseas advanced cases whose sharing systems and their effects are highly evaluated, and at presenting any model of the domestic future voluntary sharing cooperation organization within metropolitan area.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.438-441
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• 2007

Recently, due to molecular biology and engineering technology, DNA microarray makes people watch thousands of genes and the state of variation from the tissue samples of living body. With DNA Microarray, it is possible to construct a genetic group that has similar expression patterns and grasp the progress and variation of gene. This paper practices Cluster Analysis which purposes the discovery of biological subgroup or class by using gene expression information. Hence, the purpose of this paper is to predict a new class which is unknown, open leukaemia data are used for the experiment, and MCL (Markov CLustering) algorithm is applied as an analysis method. The MCL algorithm is based on probability and graph flow theory. MCL simulates random walks on a graph using Markov matrices to determine the transition probabilities among nodes of the graph. If you look at closely to the method, first, MCL algorithm should be applied after getting the distance by using Euclidean distance, then inflation and diagonal factors which are tuning modulus should be tuned, and finally the threshold using the average of each column should be gotten to distinguish one class from another class. Our method has improved the accuracy through using the threshold, namely the average of each column. Our experimental result shows about 70% of accuracy in average compared to the class that is known before. Also, for the comparison evaluation to other algorithm, the proposed method compared to and analyzed SOM (Self-Organizing Map) clustering algorithm which is divided into neural network and hierarchical clustering. The method shows the better result when compared to hierarchical clustering. In further study, it should be studied whether there will be a similar result when the parameter of inflation gotten from our experiment is applied to other gene expression data. We are also trying to make a systematic method to improve the accuracy by regulating the factors mentioned above.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.48 no.2
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• pp.165-173
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• 2012

Nationally, flatfish vaccination has been performed manually, and is a laborious and time-consuming procedure with low accuracy. The handling requirement also makes it prone to contamination. With a view to eliminating these drawbacks, we designed an automatic vaccine system in which the injection is delivered by a Cartesian coordinate robot guided by a vision system. The automatic vaccine injection system is driven by an injection site location algorithm that uses a template-matching technique. The proposed algorithm was designed to derive the time and possible angles of injection by comparing a search area with a template. The algorithm is able to vaccinate various sizes of flatfish, even when they are loaded at different angles. We validated the performance of the proposed algorithm by analyzing the injection error under randomly generated loading angles. The proposed algorithm allowed an injection rate of 2000 per hour on average. Vaccination of flatfish with a body length of up to 500mm was possible, even when the orientation of the fish was random. The injection errors in various sizes of flatfish were very small, ranging from 0 to 0.6mm.

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.1
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• pp.262-266
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• 2008

We plan to make the standardization of the pattern identifications for stroke and differentiate them by tongue diagnosis. We make a case report form which has questionnaires for tongue diagnosis in stroke patients. And we collected cases from the multi center network which consists of twelve university hospitals and one local hospital. The cases confirmed by diagnosis of medical specialists and residents are 321 cases. They are divided into Qi Defficiency 30.84%, Dampness& Phlegm 25.55%, Fire & Heat 22.43%, Eum Defficiency 18.69% and Blood Stasis 2.49%. We analyzed the markers which classified into the color of tongue body, the color of fur, the quality of fur, the dryness of tongue, the shape of tongue. To make a stroke pattern identification standard, we must try variable ways.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.99-106
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• 2011

The emerging of ubiquitous computing and healthcare technologies provides us a strong platform to build sustainable healthcare applications especially those that require real-time information related to personal healthcare regardless of place. We realize that system stability, reliability and data protection are also important requirements for u-healthcare services. Therefore, in this paper, we designed a u-healthcare system which can be attached to the patient's body to measure vital signals, enhanced with USN secure sensor module. Our proposed u-healthcare system is using wireless sensor modules embedded with NLM-128 algorithm. In addition, PS-LFSR technique is applied to the NLM-128 algorithm to enable faster and more efficient computation. We included some performance statistical results in term of CPU cycles spent on NLM-128 algorithm with and without the PS-LFSR optimization for performance evaluation.

• Journal of Korean society of Dental Hygiene
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• v.15 no.1
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• pp.19-29
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• 2015

Objectives: The purpose of the study is to investigate the related factors to dental care utilization, oral health behaviors, and oral health status in immigrant workers in Korea. Methods: The subjects were 504 foreign immigrant male workers over 20 years old who visited Daegu labor consultation center for oral health survey and oral examination. The questionnaire included 5 questions of socioeconomic characteristics, 8 questions of oral health practice behavior, 6 questions of dental clinic visit, 8 questions of social relations and Korean language proficiency. The question for health behavior was measure by body mass index(BMI). Social relations and Korean language proficiency instrument was modified by Seol from "Family welfare survey in Korean international marriage" and scored by Liker 5 scale. Results: The oral health examination of the immigrant workers was as follows: decayed teeth - 76.6%, filling teeth - 27.4%, missing teeth - 69.8%, dental caries experience above five or more - 60.2%, periodontal pocket tissues - 58.9%. Simplified Oral Hygiene Index was very poor and accounted for 49.0%. Dental care utilization experience was closely associated with social relation indexes including attendance in family events, household stuff help, financial help and counseling for hard work(p<0.01). Dental care utilization experience proportionally increased with proficiency in Korean literacy including speaking, listening, and writing abilities of Korean language(p<0.01). Conclusions: In order to improve the oral health condition of the immigrant workers, it is important to provide social network, Korean language proficiency support, and health insurance coverage through economic burden reduction by the Korean government.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.1
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• pp.16-23
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• 2015

In this paper, a bent microstrip patch antenna, which is suitable for band-type wearable devices and RF configuration, to be used in the WCDMA2100 mobile network is proposed. The proposed antenna using RF configuration which is consisted of separated Tx and Rx frequency band is designed to operate or function in WCDMA2100 Tx frequency band only and it is not strongly affected by the human body because of the conductor at the bottom side. At both flat case and bent case, the proposed antenna's maximum gain satisfies at least 5.3 dBi, and its -6 dB return loss bandwidth is wider than 20 MHz. The simulated surface absorption rate($SAR_{1g}$) result is under 0.7 [W/kg]. The proposed antenna suits in band-type wearable devices which is worn on wrists or arms.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.4
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• pp.226-231
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• 2019

A WTCI is an important criteria for evaluating an mount of patient's tongue coating in tongue diagnosis. However, Previous WTCI tongue coating evaluation methods is a most of quantitatively measuring ration of the extracted tongue coating region and tongue body region, which has a non-objective measurement problem occurring by exposure conditions of tongue image or the recognition performance of tongue coating. Therefore, a WTCI based on deep learning is proposed for classifying an amount of tonger coating in this paper. This is applying the AI deep learning method using big data. to WTCI for evaluating an amount of tonger coating. In order to verify the effectiveness performance of the deep learning in tongue coating evaluating method, we classify the 3 types class(no coating, some coating, intense coating) of an amount of tongue coating by using CNN model. As a results by testing a building the tongue coating sample images for learning and verification of CNN model, proposed method is showed 96.7% with respect to the accuracy of classifying an amount of tongue coating.