Objective : Dear antler (Cervus korean TEMMINCK var. mantchuricus Swinhoe) used for traditional immunosuppressive and immuno-activating action. The effect of deer antler herbal-acupuncture(DAH) solution, prepared by water extract method, on cathepsin activities in bone tissues (cartilage and synovial) cells from mouse rheumatoid arthritis (RA) model was studied. The cysteine endoprotease cathepsin mediates degradation of the MHC class II invariant chain (Ii) in human and mouse antigen-presenting cells. The studies described here examine the functional significance of cathepsin inhibition on autoantigen presentation and organ-specific autoimmune diseases in a murine model for RA. Methods : An animal model for RA in BALB/c mice thymectomized 3 days after birth (3d-Tx) was constructed All 3d-Tx BALB/c mice developed autoimmune lesions in the bone tissue cells, starting at 3 weeks of age, and the disease mediated by CD4+ T cells was chronic and progressive. Significant inhibitory effects of DAH solution on cathepsin S and L were observed in each organ in a dose-dependent manner. Moreover, we confirmed that cathepsin S and L activity in each organ were clearly inhibited by DAB solution. When we examined the inhibitory effects of DAH solution against autoantigen-specific T cell responses in vitro, in regional lymph node cells, but not in spleens, from model mice, a significant inhibitory effect of DAB solution was observed in a dose-dependent manner. DAH solution do not block T cell proliferation to Con A, indicated that the dose of DAB solution 10 to $20\;{\mu}g/m{\ell}$ was sufficient to inactivate the autoantigen-specific T cell responses in vitro. In vivo therapeutic effects of DAB solution were examined in a murine model for RA, autoantigen-specific (C-II-specific) T cell response were significantly inhibited in LNCs from DAH solution-treated mice. Results : Iinhibition of cathepsin S and L in vivo alters autoantigen presentation and development of organ-specific autoimmunity in RA model. Conclusion : These data identify selective inhibition of cysteine protease cathepsin S and L as a potential therapeutic strategy for autoimmune disease process such RA. Thus, DAH solution will served as a potent anti-inflammatory and anti-arthritic agents for treatment of human RA.
Journal of the Institute of Electronics and Information Engineers
/
v.51
no.7
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pp.209-220
/
2014
In this paper, we analyze the discriminability of features for the classification of transient signals with an ambient noise in a shallow water. For the classification of the transient signals, robust features for the variance of a noise are required due to a low SNR under a marine environment. In the modelling the ambient noise in shallow water, theoretical noise model, Wenz's observation data from the shallow water, and Yule-walker filter are used. Discrimination of each feature of the transient signals with an additive ambient noise is analyzed by utilizing a Fisher score. As the analysis of a classification accuracy about the transient signals of 24 classes using the selected features with a high discriminability, the features selected in the environment without a noise relatively have a good classification accuracy. From the analyzed results, we finally select a total 16 features out of 28 features. The recognition using the selected features results in the classification accuracy of 92% in SNR 20dB using Multi-class SVM.
KIEE International Transactions on Electrophysics and Applications
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v.5C
no.3
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pp.102-110
/
2005
Piezoelectric transformers(PT) are expected to be small, thin and highly efficient, and which are attractive as a transformer with high power density for step down voltage. For these reasons, we have attempted to develop a step-down PT for the miniaturized adaptor. We propose a PT, operating in thickness extensional vibration mode for step-down voltage. This PT consists of a multi-layered construction in the thickness direction. In order to develop the step-down PT of 10 W class and turn ratio of 0.1 with high efficiency and miniaturization, the piezoelectric ceramics and PT designs are estimated with a variety of characteristics. The basic composition of piezoelectric ceramics consists of ternary yPb(Zr$_{x}$Ti$_{1-x}$)O$_{3}$-(1-y)Pb(Mn$_{1/3}$Nb1$_{1/3}$Sb$_{1/3}$)O$_{3}$. In the piezoelectric characteristics evaluations, at y=0.95 and x=0.505, the electromechanical coupling factor(K$_{p}$) is 58$\%$, piezoelectric strain constant(d$_{33}$) is 270 pC/N, mechanical quality factor(Qr$_{m}$) is 1520, permittivity($\varepsilon$/ 0) is 1500, and Curie temperature is 350 $^{\circ}C$. At y = 0.90 and x = 0.500, kp is 56$\%$, d33 is 250 pC/N, Q$_{m}$ is 1820, $\varepsilon$$_{33}$$^{T}$/$\varepsilon$$_{0}$ is 1120, and Curie temperature is 290 $^{\circ}C$. It shows the excellent properties at morphotropic phase boundary regions. PZT-PMNS ceramic may be available for high power piezoelectric devices such as PTs. The design of step-down PTs for adaptor proposes a multi-layer structure to overcome some structural defects of conventional PTs. In order to design PTs and analyze their performances, the finite element analysis and equivalent circuit analysis method are applied. The maximum peak of gain G as a first mode for thickness extensional vibration occurs near 0.85 MHz at load resistance of 10 .The peak of second mode at 1.7 MHz is 0.12 and the efficiency is 92$\%$.
The computing systems of today expanded business trade and distributed business process Internet. More and more systems are developed from components with exactly reusability, independency, and portability. Component based development is focused on advanced concepts rater than passive manipulation or source code in class library. The primary component construction in CBD. However, lead to an additional cost for reconstructing the new component with CBD model. It also difficult to serve component information with rapidly and exactly, which normalization model are not established, frequency user logging in Web caused overload. A lot of difficult issues and aspects of Component Based Development have to be investigated to develop good component-based products. There is no established normalization model which will guarantee a proper treatment of components. This paper elaborates on some of those aspects of web application to adapt user requirement with exactly and rapidly. Distributed components in this paper are used in the most tiny size on network and suggest the network-addressable interface based on business domain. We also discuss the internal and external specifications for grasping component internal and external relations of user requirements to be analyzed. The specifications are stored on Servlets after dividing the information between session and entity as an EJB (Enterprise JavaBeans) that are reusable unit size in business domain. The reusable units are used in business component through query to get business component. As a major contribution, we propose a systems model for registration, auto-arrange, search, test, and download component, which covers component reusability and component customization.
An, Deok-Soon;Suh, Young-Chan;Son, Hyeon-Jang;Lee, Jae-Jun;Eom, Byeong-Sik
International Journal of Highway Engineering
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v.15
no.6
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pp.33-39
/
2013
PURPOSES : This research investigates traffic noise characteristics as change the transverse rumble strips shape from rectangular to cylinder at toll plaza of highway. METHODS : The traffic noise was investigated at two different places at toll plaza of highway. One is modified grooving, another is employed cylinder shape of TRS instead of rectangular shape of TRS. A measurement of traffic noise was conducted at same location and time period. The traffic volume information was gotten from office of highway office and vehicle speed was measured by speed measuring device. The traffic noise measurement was conducted from 13:00 to 23:00 and by pass-by method. Also, the traffic noise was measured behind noise barrier. Various distance from noise barrier(7.5m, 30m, 50m) and different heights(1.2m, 3m, and 5m) were parameter for measurement of traffic noise in this study. RESULTS : The class 1 vehicle was contributed from traffic volume which was increased 1,500. However, the distribution of traffic speed didn't change compare to previous investigated period. From this study, It was found that the external traffic noise was changed as function of geometric shape of TRS. The external noise from modified grooving was less than 1.2dB(A) of the current TRS. A difference of traffic noise was 20dB(A) before and after barrier. It came from a noise barrier effect as reduction of traffic noise. According to investigate a traffic noise distribution near barrier, there is similar noise characteristic as function of height at 7.5m distance from noise barrier. Also, There is no different traffic noise between 30m and 50m from source of the noise of sound barrier. CONCLUSIONS : Based on this traffic noise investigation result, there is a clear characteristic difference as changed TRS shape. The traffic noise was reduced by changed TRS shape. Specially, traffic noise was decreased although the traffic volume was increase for same investigation time and period. It is implied that cylinder type of TRS significantly reduces the traffic noise. The specification of various TRS will be studied in the future.
Journal of the Korean Society for Nondestructive Testing
/
v.36
no.3
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pp.181-187
/
2016
A thermal power plant has a heat exchanger tube to collect and convert the heat generated from the high temperature and pressure steam to energy, but the tubes are arranged in a complex manner. In the event that a leakage occurs in any of these tubes, the high-pressure steam leaks out and may cause the neighboring tubes to rupture. This leakage can finally stop power generation, and hence there is a dire need to establish a suitable technology capable of detecting tube leaks at an early stage even before it occurs. As shown in this paper, by applying acoustic emission (AE) technology in existing boiler tube leak detection equipment (BTLD), we developed a system that detects these leakages early enough and generates an alarm at an early stage to necessitate action; the developed system works better that the existing system used to detect fine leakages. We verified the usability of the system in a 560MW-class thermal power plant boiler by conducting leak tests by simulating leakages from a variety of hole sizes (ⵁ2, ⵁ5, ⵁ10 mm). Results show that while the existing fine leakage detection system does not detect fine leakages of ⵁ2 mm and ⵁ5 mm, the newly developed system could detect leakages early enough and generate an alarm at an early stage, and it is possible to increase the signal to more than 18 dB.
Journal of the Institute of Electronics and Information Engineers
/
v.52
no.4
/
pp.175-183
/
2015
The proposed algorithm consists of two stages: the learning and synthesis stages. At the learning stage, we first collect various high-resolution (HR)-low-resolution (LR) text image pairs, and quantize the LR images, and extract HR-LR block pairs. Based on quantized LR blocks, the LR-HR block pairs are clustered into a pre-determined number of classes. For each class, an optimal 2D-FIR filter is computed, and it is stored into a dictionary with the corresponding LR block for indexing. At the synthesis stage, each quantized LR block in an input LR image is compared with every LR block in the dictionary, and the FIR filter of the best-matched LR block is selected. Finally, a HR block is synthesized with the chosen filter, and a final HR image is produced. Also, in order to cope with noisy environment, we generate multiple dictionaries according to noise level at the learning stage. So, the dictionary corresponding to the noise level of the input image is chosen, and a final HR image is produced using the selected dictionary. Experimental results show that the proposed algorithm outperforms the previous works for noisy images as well as noise-free images.
Journal of The Korean Association of Information Education
/
v.23
no.5
/
pp.395-413
/
2019
The purpose of this study is to explore non-major students' perception and experiences in college software education. For this, we analyzed the reflection journals of 36 non-major students in D University based on the Consensual Qualitative Research(CQR). As a result, there was not general core concept to all students nor a typical core concept that appeared to more than 50% students. However, various variable core concepts could be derived. Overall, 57 variable concepts were derived from experience in SW education and 7 variable concepts for perception of SW education. Based on this result, we found many of non-major students feel difficulty from unfamiliarity to SW education. Also, many students have satisfaction in their perception to SW education about personalized learning that their professor provided in the class. Lastly, we conclude that a methodology for SW education needs to have a careful operation strategy and interactive design. Although this study has not been able to elucidate general core concepts that appear to all learners, it has significant implication in terms of providing various implicit core concepts and suggestions for effective software education for non-major students.
Journal of the Korea Academia-Industrial cooperation Society
/
v.21
no.12
/
pp.826-835
/
2020
The purpose of this study was to examine the mediating effect of stress on the relationship between oral health behaviors and health-related quality of life (HRQOL) in the elderly. We analyzed 8148 subjects aged 65 or older who participated in the Korea National Health and Nutrition Examination Survey (2010-2015). All individuals were asked about their socioeconomic history, general health, and oral health behaviors (the frequency of tooth brushing, regular dental check-ups, and use of interdental cleaners). In the results, HRQOL was low in the elderly from a low socioeconomic class, or with diabetes mellitus, hypertension, or poor oral health behaviors. A partial mediating effect from stress was confirmed on the relationship between oral health behaviors and HRQOL. In conclusion, HRQOL was associated with oral health behaviors, with a mediating effect from stress. Therefore, it is necessary that a convergence health promotion program should be planned with an oral health education program and a stress management program for the elderly.
KIPS Transactions on Software and Data Engineering
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v.11
no.3
/
pp.133-140
/
2022
We investigate the performance of deep learning-based Korean language models on a task of predicting the score range of Korean essays written by foreign students. We construct a data set containing a total of 304 essays, which include essays discussing the criteria for choosing a job ('job'), conditions of a happy life ('happ'), relationship between money and happiness ('econ'), and definition of success ('succ'). These essays were labeled according to four letter grades (A, B, C, and D), and a total of eleven essay score range prediction experiments were conducted (i.e., five for predicting the score range of 'job' essays, five for predicting the score range of 'happiness' essays, and one for predicting the score range of mixed topic essays). Three deep learning-based Korean language models, KoBERT, KcBERT, and KR-BERT, were fine-tuned using various training data. Moreover, two traditional probabilistic machine learning classifiers, naive Bayes and logistic regression, were also evaluated. Experiment results show that deep learning-based Korean language models performed better than the two traditional classifiers, with KR-BERT performing the best with 55.83% overall average prediction accuracy. A close second was KcBERT (55.77%) followed by KoBERT (54.91%). The performances of naive Bayes and logistic regression classifiers were 52.52% and 50.28% respectively. Due to the scarcity of training data and the imbalance in class distribution, the overall prediction performance was not high for all classifiers. Moreover, the classifiers' vocabulary did not explicitly capture the error features that were helpful in correctly grading the Korean essay. By overcoming these two limitations, we expect the score range prediction performance to improve.
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