• Reproductive and Developmental Biology
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• v.30 no.2
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• pp.143-156
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• 2006

Major characteristics of embryonic stem cells (ESCs) are sustaining of sternness and pluripotency by self-renewal. In this report, transcriptional profiles of the molecules in the developmentally important signaling pathways including Wnt, BMP4, $TGF-\beta$, RTK, Hh, Notch, and JAK/STAT signaling pathways were investigated to understand the self-renewal of mouse ESCs (mESCs), J1 line, and compared with the NIH3T3 cell line and mouse embryonic fibroblast (MEF) cells as controls. In the Wnt signaling pathway, the expression of Wnt3 was seen widely in mESCs, suggesting that the ligand may be an important regulator for self-renewal in mESCs. In the Hh signaling pathway, the expression of Gli and N-myc were observed extensively in mESCs, whereas the expression levels of in a Shh was low, suggesting that intracellular molecules may be essential for the self-renewal of mESCs. IGF-I, IGF-II, IGF-IR and IGF-IIR of RTK signaling showed a lower expression in mESCs, these molecules related to embryo development may be restrained in mESCs. The expression levels of the Delta and HESS in Notch signaling were enriched in mESCs. The expression of the molecules related to BMP and JAK-STAT signaling pathways were similar or at a slightly lower level in mESCs compared to those in MEF and NIH3T3 cells. It is suggested that the observed differences in gene expression profiles among the signaling pathways may contribute to the self-renewal and differentiation of mESCs in a signaling-specific manner.

• The Journal of the Acoustical Society of Korea
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• v.22 no.5
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• pp.375-382
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• 2003

Lip-reading technique based on bimodal is to enhance speech recognition rate in noisy environment. It is most important to detect the correct lip-image. But it is hard to estimate stable performance in dynamic environment, because of many factors to deteriorate Lip-reading's performance. There are illumination change, speaker's pronunciation habit, versatility of lips shape and rotation or size change of lips etc. In this paper, we propose the IIR filtering in time-domain for the stable performance. It is very proper to remove the noise of speech, to enhance performance of recognition by digital filtering in time domain. While the lip-reading technique in whole lip image makes data massive, the Principal Component Analysis of pre-process allows to reduce the data quantify by detection of feature without loss of image information. For the observation performance of speech recognition using only image information, we made an experiment on recognition after choosing 22 words in available car service. We used Hidden Markov Model by speech recognition algorithm to compare this words' recognition performance. As a result, while the recognition rate of lip-reading using PCA is 64%, Time-domain filter applied to lip-reading enhances recognition rate of 72.4%.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.33-39
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• 2021

Speech recognition technology is being combined with deep learning and is developing at a rapid pace. In particular, voice recognition services are connected to various devices such as artificial intelligence speakers, vehicle voice recognition, and smartphones, and voice recognition technology is being used in various places, not in specific areas of the industry. In this situation, research to meet high expectations for the technology is also being actively conducted. Among them, in the field of natural language processing (NLP), there is a need for research in the field of removing ambient noise or unnecessary voice signals that have a great influence on the speech recognition recognition rate. Many domestic and foreign companies are already using the latest AI technology for such research. Among them, research using a convolutional neural network algorithm (CNN) is being actively conducted. The purpose of this study is to determine the non-voice section from the user's speech section through the convolutional neural network. It collects the voice files (wav) of 5 speakers to generate learning data, and utilizes the convolutional neural network to determine the speech section and the non-voice section. A classification model for discriminating speech sections was created. Afterwards, an experiment was conducted to detect the non-speech section through the generated model, and as a result, an accuracy of 94% was obtained.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.35-40
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• 2023

For the EMC test, the radiation characteristics and immunity characteristics of the EUT are measured under the condition that the EUT maintains its normal operation. For normal operation of the EUT, it is necessary to operate the EUT and monitor its status through separate equipment outside the anechoic chamber. External equipment operates and monitors the EUT through various communications such as 1553B communication, RS-485 communication, and Ethernet communication. At this time, external equipment can transmit noise through the communication line. This noise is transmitted to the LISN through the connected power cable and measured. It is also radiated through the connection terminal to the LISN. In this case, the communication line is the power line It should be designed so that noise is not transmitted through electromagnetic isolation as much as possible. In addition, noise from external equipment must be suppressed as much as possible from entering the chamber through the communication line. In this paper, external EUT test equipment applied for EMC test It explains the considerations in the design and manufacture of the design and explains the satisfaction of the design through tests including CE and RE.

• Pediatric Infection and Vaccine
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• v.4 no.1
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• pp.106-115
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• 1997

Objective : To evaluate the immunogenicity and safety afforded by the HG-II$^{(R)}$ recombinant hepatitis B vaccine given to healthy neonates and children and to find the influence of preceding BCG vaccination on immunogenicity. Methods : Three doses of recombinant hepatitis B vaccine with a dose of $10{\mu}g$ were given at birth, 1 and 6 months of age. This study was conducted in three hospitals (Gyeongsang National University Hospital(Group A), Kangnam General Hospital(Group B) and Younsei University Hospital(Group C)) from April, 1995 to June, 1996. Group A and Group B received 2nd dose of hepatitis B vaccine at 1 week after and before BCG vaccine, respectively. Antibidy levels, at 1 month after the 3rd dose of hepatitis B vaccine were determined by a radioimmunoassay. Results : 1) One hundred four infants and ten children were enrolled : 55 infants and 43 infants received 2nd dose of hepatitis B vaccine at 1 week after( After BCG Group) and before BCG vaccine(Before BCG Group), respectively. 2) The seropositive rate was 99.1%, and geometric mean anti-HBs titer was 131.2mIU/ml. 3) The geometric mean titers were 105.5mIU/ml and 162.8mIU/ml in After BCG and Before BCG Group, respectively(p<0.025). 4) Among 359 episodes of vaccination, the occurrence of systemic and local side reaction were reported in 7.8% and 1.4%, respectively. Conclusion : Recombinant hepatitis B vaccine(HG-II$^{(R)}$))was highly immunogenic and safe. The significantly lower geometric mean antibody titer in the BCG preceding group was observed. Well-designed controlled study with the large number of sample size will be required to show the influence of preceding BCG vaccination.