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임중혁,원호준,백인찬,권영헌,이건상 한양대학교 이학기술연구소 1999 이학기술연구지 Vol.1 No.-
본논문에서는 Window 상에서 웹브라우저 검색어로 영문 알파벳을 인식하도록 하였다. 음성의 특징 벡터로는 10차원의 LPC, cepstrum, LSF(Line Spectrum Frequency) 계수와, 규격화된 필터뱅크 에너지를 사용하였으며 인식 알고리즘으로는 MSVQ 모델을 사용하였다. 인식 대상 어휘는 26개의 알파벳을 사용하였으며 실험결과 필터뱅크 에너지를 사용한 인식결과가 가장 우수한 것으로 나타났다. This paper represents the speech recognizer of English alphabet for the internet explorer in Windows. We use 10-dimensional LPC, cepstrum, LSF coefficients and normalized filter bank energies as the speech feature vectors and MSVQ model as the recognition algorithm. As the results the recognizer using the normalized filter bank energies shows the better performance than that using the other feature vectors.
Joon No Lee,Jane Park,Seul-Gi Kim,Min Soo Kim,Jae-Young Lim,Seong-Kyu Choe,S.-K. Choe 대한독성 유전단백체 학회 2017 Molecular & cellular toxicology Vol.13 No.1
Cobalt is an essential metal that is required for the generation of vitamin B12. However, exposure to excess cobalt for a prolonged period may adversely affect the human body, causing hepatotoxicity, pulmonary fibrosis, and neurotoxicity. 3-Aminotriazole (3-AT) is a catalase inhibitor that is often used to examine the cellular role of catalase. In the present study, we showed that 3-AT treatment significantly reduced cobalt (II) chloride (CoCl2)-induced cytotoxicity in HepG2 cells by suppressing the expression and activation of apoptotic markers, caspase-3 and poly adenosine diphosphate ribose polymerase (PARP). Mechanistically, 3-AT treatment attenuated CoCl2-induced accumulation of reactive oxygen species (ROS) and expression of RO S-responsive genes. Furthermore, the CoCl2-induced mitochondrial membrane potential (Δψm) shift and mitochondrial damage were attenuated by 3-AT. Taken together, these findings suggest that 3-AT alleviates CoCl2-induced cytotoxicity by reducing ROS generation and protecting against mitochondrial damage.
Xiyu. Zhou,Joon S. Lim 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.3
Ventricular fibrillation (VF) and ventricular tachycardia (VT) are life-threatening signals. Automated external defibrillators can decrease the fatality rate if the VF/VT detection is stable and quick. This thesis proposes improved VF/VT detection. For our experiments, we use the complete Creighton University Ventricular Tachyarrhythmia Database. Samples are analyzed under the same conditions in intervals of 7 s. Based on this data, we propose a time-delay transform. Then, we extract six shockable features, three known and three new, which are used to construct our Neural Network with Weight Fuzzy Membership Functions model (NEWFM). The result is better than the phase space reconstruction algorithm.
THE STARBURST CLUSTER WESTERLUND 1: THE INITIAL MASS FUNCTION AND MASS SEGREGATION
Lim, Beomdu,Chun, Moo-Young,Sung, Hwankyung,Park, Byeong-Gon,Lee, Jae-Joon,Sohn, Sangmo T.,Hur, Hyeonoh,Bessell, Michael S. American Institute of Physics 2013 The Astronomical journal Vol.145 No.2
<P>Westerlund 1 is the most important starburst cluster in the Galaxy due to its massive star content. We have performed BVI<SUB>C</SUB> and JK<SUB>S</SUB> photometry to investigate the initial mass function (IMF). By comparing the observed color with the spectral-type-intrinsic-color relation, we obtain the mean interstellar reddening of 〈E(B – V)〉 = 4.19 ± 0.23 and 〈E(J – K<SUB>S</SUB>)〉 = 1.70 ± 0.21. Due to the heavy extinction toward the cluster, the zero-age main sequence fitting method based on optical photometry proved to be inappropriate for the distance determination, while the near-infrared photometry gave a reliable distance to the cluster—3.8 kpc from the empirical relation. Using the recent theoretical stellar evolution models with rotation, the age of the cluster is estimated to be 5.0 ± 1.0 Myr. We derived the IMF in the massive part and obtained a fairly shallow slope of Γ = –0.8 ± 0.1. The integration of the IMF gave a total mass for the cluster in excess of 5.0 × 10<SUP>4</SUP> M<SUB>☉</SUB>. The IMF shows a clear radial variation indicating the presence of mass segregation. We also discuss the possible star formation history of Westerlund 1 from the presence of red supergiants and relatively low luminosity yellow hypergiants.</P>
Kim, Han-Joon,Paek, Sun Ha,Kim, Ji-Young,Lee, Jee-Young,Lim, Yong Hoon,Kim, Dong Gyu,Jeon, Beom S. Wiley Subscription Services, Inc., A Wiley Company 2009 Movement disorders Vol.24 No.3
<P>Although bilateral subthalamic deep brain stimulation (STN DBS) provides greater relief from the symptoms of Parkinson's disease (PD) than unilateral STN DBS, it has been suggested that unilateral STN DBS may be a reasonable treatment option in selected patients, especially those with highly asymmetric PD. In previous studies on the effect of unilateral STN DBS, the asymmetry of PD symptoms was not prominent and the mean follow-up durations were only 3 to 12 months. In this study, we report our findings in a series of 8 patients with highly asymmetric PD who were treated with unilateral STN DBS and were followed for 24 months. Serial changes in Unified Parkinson's Disease Rating Scale (UPDRS) motor score and subscores in the ipsilateral, contralateral, and axial body parts were analyzed. Unilateral STN DBS improved the UPDRS motor score and the contralateral subscore in the on-medication state for 5 nonfluctuating patients and in the off-medication state for 3 fluctuating patients. However, the ipsilateral subscore progressively worsened and reversed asymmetry became difficult to manage, which led to compromised medication and stimulator adjustment. At 24 months, all the patients were considering the second-side surgery. Our results suggest that bilateral STN DBS should be considered even in highly asymmetric PD. © 2008 Movement Disorder Society</P>
이상홍 ( Sang-hong Lee ),임준식 ( Joon S. Lim ),신동근 ( Dong-kun Shin ) 한국인터넷정보학회 2010 인터넷정보학회논문지 Vol.11 No.6
본 논문은 걸음걸이 분석 기반의 특징 추출과 NEWFM(Neural Network with Weighted Fuzzy Membership Functions)을 이용하여 건강한 사람의 족압(foot pressure)과 파킨슨병 환자의 족압으로부터 건강한 사람과 파킨슨병 환자를 분류하는 방안을 제시하고 있다. NEWFM에서 사용할 입력을 추출하기 위해서 첫 번째 단계에서는 PhysioBank에서 제공하는 족압 데이터와 시간에 따른 족압의 변화를 이용하여 각각 4개의 특징을 추출하였다. 두 번째 단계에서는 웨이블릿 변환(wavelet transform, WT)을 이용하여 이전 단계에서 추출한 8개의 특징으로부터 웨이블릿 계수를 추출하였다. 마지막 단계에서는 추출된 웨이블릿 계수들을 이용하여 통계적 기법인 주파수 분포와 주파수 변동량을 이용하여 40개의 입력을 추출하였다. NEWFM은 족압 데이터로부터 8개의 특징을 추출하여 건강한 사람과 파킨슨병 환자를 분류하였을 때 왼쪽 족압과 오른쪽 족압의 차를 이용한 특징과 시간에 따른 족압의 변화에 대한 차를 이용한 특징의 경우에 높은 정확도(accuracy)가 나타났다. 이러한 결과를 통하여 걸음걸이에 있어서 질질 끄는 특징을 보이는 파킨슨병 환자의 양쪽 족압의 차가 건강한 사람의 양쪽 족압의 차보다는 상대적으로 적다는 특징을 본 실험을 통해 확인할 수 있었다. This paper presents a measure to classify healthy persons and Parkinson disease patients from the foot pressure of healthy persons and that of Parkinson disease patients using gait analysis based characteristics extraction and Neural Network with Weighted Fuzzy Membership Functions (NEWFM). To extract the inputs to be used in NEWFM, in the first step, the foot pressure data provided by the PhysioBank and changes in foot pressure over time were used to extract four characteristics respectively. In the second step, wavelet coefficients were extracted from the eight characteristics extracted from the previous stage using the wavelet transform (WT). In the final step, 40 inputs were extracted from the extracted wavelet coefficients using statistical methods including the frequency distribution of signals and the amount of variability in the frequency distribution. NEWFM showed high accuracy in the case of the characteristics obtained using differences between the left foot pressure and the right food pressure and in the case of the characteristics obtained using differences in changes in foot pressure over time when healthy persons and Parkinson disease patients were classified by extracting eight characteristics from foot pressure data. Based on these results, the fact that differences between the left and right foot pressures of Parkinson disease patients who show a characteristic of dragging their feet in gaits were relatively smaller than those of healthy persons could be identified through this experiment.
김학림(Hak Lim Kim),S. Rajagopalan,이상준(Sang Joon Lee) 한국가시화정보학회 2010 한국가시화정보학회지 Vol.7 No.2
Two turbulent jet with different sinusoidal nozzle exit configurations of in-phase and 180° out-of-phase were investigated experimentally using a smoke-wire method and a hot-wire anemometry. Mean velocity and turbulence intensity were measured at several downstream locations under Re<SUB>D</SUB> = 5000. For the case of in-phase nozzle configuration, the length of potential core exhibits negligible difference with respect to the transverse locations (0, λ/4 and λ/2), similar to that of a plane jet. On the other hand, a maximum difference of 30% in the potential-core length occurs for the 180° out-of-phase configuration. The spatial distributions of turbulence intensities also show significant difference for the nozzle of 180° out-of-phase, whereas non-symmetric distribution is observed in the near-exit region(x/D = 1) for the inphase sinusoidal nozzle jet. Compared to a slit plane jet, the sinusoidal nozzle jets seem to suppress the velocity deficit as the flow goes downstream. The sinusoidal nozzle jet was found to decrease turbulent intensity dramatically. The flow visualization results show that the flow characteristics of the sinusoidal nozzle jet are quite different from those of the slit plane jet.