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정용주 한국경영과학회 2000 한국경영과학회 학술대회논문집 Vol.- No.1
이동통신 시스템에서 가입자수가 증가하고 다양한 서비스가 구현됨으로써 전체적인 장비 또는 자원에 대한 부하가 증거하고 있다. 특히, 셀의 반경이 작아지고 단문(Short Message)을 활용한 다양한 부가 서비스가 개발됨으로써 이와 관련된 정보를 전달하는 페이징 메시지의 분류도 복잡해지고 페이징 채널의 부하도 커지고 있다. 본 연구에서는 먼저, 이동통신시스템에 페이징 채널의 구조와 역할을 분석하고 페이징 채널에서 전송하는 메시지를 그 기능과 특성에 따라 분류한다. 긴급하게 전송되어야 하는 메시지를 보호하기 위한 우선권 부여 방법을 모색하고, 각 방법에 있어서 메시지 종류별 전송지연시간(Delay)을 수리적으로 도출하고 결과를 비교한다.
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정용주,Mi-Young Jung,Jin-A Lee,김태연,최용경,김익환 한국생물공학회 2016 Biotechnology and Bioprocess Engineering Vol.21 No.4
Clostridium tetani, a spore-forming anaerobic bacterium, and a casein-based semisynthetic medium were used to produce tetanus toxin in this study. N-Z-Case TT (casein hydrolysate) solution and glucose stock media were mixed and autoclaved, which resulted in tetanus toxin expression. The toxin was expressed when the N-Z-Case TT solution reacted with the glucose stock at a high temperature, creating an adequate amount of Maillard reaction products (MRPs). After accumulating in C. tetani cells, tetanus toxin was secreted into the medium when cell lysis was induced by surface aeration. C. tetani was cultivated and tetanus toxin was expressed in a single-use bioreactor, which produced 80 Lf/mL of tetanus toxin in a medium with MRPs. While using the correct medium to induce tetanus toxin was important, other factors played a part in achieving the desired concentration of the toxin, including the medium processing and culture methods inside the bioreactor. Tetanus toxoid with a purity level greater than 2,500 Lf/mgPN was obtained by detoxifying and purifying the toxin recovered from the fermenter or single-use bioreactor. A single-use bioreactor could be used in a limited space without the need for constructing a large scale production facility, to produce the tetanus toxoid antigen for clinical trials.
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향상된 JA 방식을 이용한 다 모델 기반의 잡음음성인식에 대한 연구
정용주,Chung, Yong-Joo 한국음성학회 2006 음성과학 Vol.13 No.2
Various methods have been proposed to overcome the problem of speech recognition in the noisy conditions. Among them, the model compensation methods like the parallel model combination (PMC) and Jacobian adaptation (JA) have been found to perform efficiently. The JA is quite effective when we have hidden Markov models (HMMs) already trained in a similar condition as the target environment. In a previous work, we have proposed an improved method for the JA to make it more robust against the changing environments in recognition. In this paper, we further improved its performance by compensating the delta-mean vectors and covariance matrices of the HMM and investigated its feasibility in the multi-model structure for the noisy speech recognition. From the experimental results, we could find that the proposed improved the robustness of the JA and the multi-model approach could be a viable solution in the noisy speech recognition.
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정용주,김후곤,김영진 한국경영과학회 2010 한국경영과학회 학술대회논문집 Vol.2010 No.6
In this study, we deal with a wireless resource allocation problem for the LTE(Long Term Evolution) uplink, which uses SC-FDMA(Single Carrier-Frequency Division Multiple Access) rather than OFDMA(Orthogonal FDMA) applied for the down link. SC-FDMA has similar structure on its wireless resource usage with OFDMA, but has a unique characteristic that only consecutive RBs(Radio Bearers) can be assigned to a mobile when multiple RBs are required. We formulate the resource allocation problem for the SC-FDMA system into a mathematical form, which is shown to be similar with the interval scheduling problem. And we prove that the problem is NP-complete by reduction from/to the interval scheduling problem. Followed by some properties of the optimal solution for the problem with a simple example.
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정용주 한국정보기술학회 2014 한국정보기술학회논문지 Vol. No.
In the conventional studies, speech feature compensation methods based on VTS have shown to improve the performance of speech recognizer using noisy speech HMMs. However, the performance of the speech feature compensation methods seems to depend heavily on the training method of the noisy speech HMM, estimation methods of the noise parameters and the complexity of the acoustic model. In this study, the optimal compensation method was determined by considering these variables thoroughly through speech recognition experiments. The MMSR and MTR methods were compared as the training method of the noisy speech HMM and the performance perturbation due to the change in the upper and lower limits of the noise parameters was also investigated. In the noisy speech recognition experiments on the Aurora 2 database, we could find that the values of the noise parameters did not have much effect on the speech recognition performance if they are within some boundaries. The MMSR method has shown a little better performance than the MTR method when the complexity of the HMM is low, but the MTR method had much better performance than the MMSR method when the complexity of the noisy speech HMM is high. 기존의 연구에서 VTS(Vector Taylor Series) 기반의 음성특징보상은 잡음음성 HMM(Hidden Markov Models) 음성인식기의 성능을 상당히 향상 시키는 것으로 알려졌다. 그러나 음성특징보상 방법의 성능은 잡음음성 HMM의 훈련방법이나 잡음파라미터의 추정방법 그리고 음향모델의 복잡도에 따라서 상당히 좌우되는 것으로 보인다. 본 연구에서는 잡음음성 특징보상방식들의 이러한 변수들을 면밀히 고려하여 인식실험을 통하여 최적의 보상 방안을 결정하였다. 잡음음성 HMM의 훈련방법으로는 MMSR(Multiple-Model Speech Recognition) 방식과 MTR(Multi-condition TRaining) 방식을 상호 비교하였고 잡음파라미터의 변동제한폭에 따른 성능의 변화도 관찰하였다. 마지막으로 음향모델의 복잡도에 따른 성능 변화도 면밀히 관찰하였다. Aurora 2 음성데이터베이스를 이용한 잡음음성인식 실험결과 잡음파라미터는 어느 정도 제한된 변동폭 아래에서는 성능에 큰 영향을 미치지 않음을 알 수 있었다. MMSR 방식은 음향모델의 복잡도가 낮은 경우에는 MTR방식에 비해서 약간 더 나은 성능을 보였으나 음향모델의 복잡도가 큰 경우에는 MTR 방식이 월등히 나은 성능을 보임을 알 수 있었다.
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