• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.47 no.5
• /
• pp.18-23
• /
• 2010

In this paper, we propose a computationally efficient method detecting the P300 wave for brain-machine interface. Electrophysiological researches have shown that the P300 wave's potential is decreased when human intention matches visual stimulation. Motivated by this fact, we can infer human intention for brain-machine interface by detecting the P300 wave's potential decrease. The P300 wave is recorded from EEG(electroencephalogram) electrodes attached on human brain skull after giving alphabetical stimulation. To detect the potential decrease in P300, firstly we statistically model the P300 wave's negative potential. Then we infer human intention based on maximum likelihood estimation. The proposed method was evaluated on the data recorded from three healthy human subjects. The method achieved an averaging accuracy of 98% from subject k, 90% from subject j and 79.8% from subject h.

• Membrane Journal
• /
• v.4 no.2
• /
• pp.106-112
• /
• 1994

The ultrafiltration(UF) and reverse osmosis(RO) tests for a model metal plating wastewater prepared with zinc sulfate, showed the zinc ion rejection coefficient of over 99% and the permeate flux of $1.49 {\times} 10^{-3}cm/sec$ at pH = 8.3. The effect of cyanide on the zinc removal was investigated. When the amount of cyanide addition was same the zinc content, the zinc was removed over 99% and the cyanide was excluded about 93%. The addition of the surfactants such a LAS-Na and EDTA-Na was found to reduce the permeate flux down to $0.76 {\times} 10^{-3}cm/sec$ at the RO membrane.

• Annual Conference on Human and Language Technology
• /
• 2018.10a
• /
• pp.252-255
• /
• 2018

화행 분석이란 자연어 발화를 통해 나타나는 화자의 의도를 파악하는 것을 말하며, 슬롯 필링이란 자연어 발화에서 도메인에 맞는 정보를 추출하기 위해 미리 정의되어진 슬롯에 대한 값을 찾는 것을 말한다. 최근 화행 분석과 슬롯 필링 연구는 딥 러닝 기반의 공동 학습을 이용하는 연구가 많이 이루어지고 있고 본 논문에서는 한국어 특허상담 도메인 대화 말뭉치를 이용하여 공동 학습 모델을 구축하고 개별적인 모델과 성능을 비교한다. 또한 추가적으로 공동 학습 모델에 주의집중 메커니즘을 적용하여 성능이 향상됨을 보인다. 최종적으로 주의집중 메커니즘 기반의 공동 학습 모델이 기준 모델과 비교하여 화행 분류와 슬롯 필링 성능이 각각 3.35%p, 0.54%p 향상되어 85.41%, 80.94%의 성능을 얻었다.

• Bulletin of the Korean Space Science Society
• /
• 1993.10a
• /
• pp.9-9
• /
• 1993

GPS는 지구 중심으로부터 GPS 위성의 거리와 위성과 관측자사이의 의사거리(pseudorange)를 이용해서 위치를 결정하는 시스템이다. 1993년 6월 12일 연세대학교에서 3시간동안 관측하여 연세대학교의 위치를 구하였다. 이 위치는 WGS-84 타원체이므로 Bessel타원체로 좌표변환하였다. 위치를 결정하기 위해서는 정확한 위성의 위치와 의사거리에 미치는 잡음(noise)을 제거해야 한다. GPS 위성의 위치 결정에는 지구 비대칭중력항에 의한 섭동, 태양, 달에 의한 섭동, 태앙 복사압에 의한 섭동, 지각, 해양의 조석력에 의한 섭동, 태양빛의 지구 반사도(albedo)에 의한 섭동을 고려해야하며 이를 위해서 위성의 Telemetry를 분석하여 구해 보았다 의사거리의 잡음중 가장 큰 요소인 이온층, 대류층에 의한 지연(delay)에 대해 연구 하였고 각각 Kiobuchar모델, Hopfield모델을 써서 보정을 하였다. 자료 처리를 P모델, PV모델을 만들어 칼만 필터에 적용하였고 RV모델이 P모델보다 더 정확하였나, 위치 결정의 정확도를 알아 보기위해서 국립 천문대부설 GPS관측소에서 결정한 위치와 비교,분석하였다.

• Journal of the Earthquake Engineering Society of Korea
• /
• v.16 no.3
• /
• pp.43-50
• /
• 2012

The FEMA P695 document proposed a methodology to evaluate the collapse safety of a structure and the validity of the seismic design coefficients. In this study, the seismic performance of six- and twelve-story staggered wall structures with a middle corridor was evaluated based on the FEMA P695 procedure. The analysis results of the prototype structures were compared with those of the structures with an increased coupling beam depth or an increased re-bar ratio of the coupling beams in order to investigate the effect of retrofit. The adjusted collapse margin ratios (ACMR) of the model structures obtained from incremental dynamic analyses turned out to be larger than the specified limit states of an ACMR of 20%, which implies that the analysis model structures have enough strength against design level earthquakes. It was also observed that the increase in the re-bar ratio of the coupling beams between the staggered walls was more effective in increasing the ACMR than an increase in the depth of the coupling beams.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.15 no.6
• /
• pp.433-439
• /
• 2022

Muscle fatigue models to predict maximum endurance time (MET) are broadly classified as either 'empirical' or 'theoretical'. Empirical models are based on fitting experimental data and theoretical models on mathematical representations of physiological process. This paper examines the effectiveness of dynamic muscle fatigue model as theoretical model to predict maximum endurance time during forearm isometric contraction. Forty volunteers (20 females, 20 males) are participated in this study. Empirical models (exponential model and power model) and theoretical model (dynamic muscle fatigue model) are used to compare. Mean absolute deviation (MAD), correlation coefficient (r) and intraclass correlation (ICC) are calculated between theoretical model and empirical models. MAD are below 3.5%p, r and ICC are above 0.93 and 0.87, respectively. This results demonstrate that dynamic muscle fatigue model as theoretical model is valid to predict MET.

• Korean Journal of Soil Science and Fertilizer
• /
• v.34 no.3
• /
• pp.213-236
• /
• 2001

The ionic composition of soil solution is related to a nutrient uptake by plant. Many models for estimating ionic composition of solution have been developed, and most of them have been used for calculating a content of mineral and ionic species in a geochemical point of view. An approximation model considering both cation and anion in soil solution was developed. Variables such as pH, Eh, EC, cations(K, Ca, Mg. Na, Fe, Mn, Al, $NH_4{^+}$), anions(Si, S, P, CY, $NO_3{^-}$, $HCO_3{^-}$ and chemical equilibria of ionic species in soil solution were input into Excel sheet. The activities of soluble ion, ionpairs and complexes of input element were estimated by Newton-Raphson method using conditional equilibrium constant calculated by Davies equation and special models. Equilibrium contents of insoluble minerals and complexes were also calculated.

• Journal of Digital Contents Society
• /
• v.19 no.4
• /
• pp.685-692
• /
• 2018

The purpose of this study is to develop a prediction model of hypertension in middle-aged adults using Statistical analysis. Statistical analysis and prediction models were developed using the National Health and Nutrition Survey (2013-2016).Binary logistic regression analysis showed statistically significant risk factors for hypertension, and a predictive model was developed using logistic regression and the Naive Bayes algorithm using Wrapper approach technique. In the statistical analysis, WHtR(p<0.0001, OR = 2.0242) in men and AGE (p<0.0001, OR = 3.9185) in women were the most related factors to hypertension. In the performance evaluation of the prediction model, the logistic regression model showed the best predictive power in men (AUC = 0.782) and women (AUC = 0.858). Our findings provide important information for developing large-scale screening tools for hypertension and can be used as the basis for hypertension research.

• Korean Chemical Engineering Research
• /
• v.46 no.2
• /
• pp.301-309
• /
• 2008

In this study, the effect of formaldehyde to phenol (F/P) molar ratios, catalyst wt%, and reaction temperature on the chemical structure was studied utilizing a two-level full factorial experimental design. The effect of three variables on the chemical structure was analyzed by using three-way ANOVA of SPSS. Concentration of methyrol-substituted phenols after 300 min addition reaction increased with higher the F/P mole ratio, lower the reaction temperature and lower the catalyst wt%. Resol catalysed by barium hydroxide showed higher addition of formaldehyde onto ortho positions of phenolic rings. A simplified elementary reaction model for resole type phenolic resin formation which do not consider the dissociation of phenolic compounds and the fraction of formaldehyde in the form of methylene glycol was proposed and compared with Zavitsas' type models. Elementary reaction model showed error of 2.79% compared to the error of 3.27% in Zavitsas' type models. It was thought that the elementary reaction model could be used to predict the behavior of addition reaction in resol formation.

• Journal of Environmental Impact Assessment
• /
• v.21 no.3
• /
• pp.483-501
• /
• 2012

The purpose of this study was to apply a multi-metric model of Lentic Ecosystem Health Assessments(LEHA) for environmental impact assessments of Cheongpyung Reservoir during 2005 - 2006 and assessed the ecological model values. The ecosystem model of LEHA was composed of eleven metrics such as biological parameters($B_p$), physical parameters($P_p$), and chemical parameters($C_p$), and determined the rank of ecological health by the criteria. The variables of $B_p$ were metrics of % sensitive species($M_2$, NMS) and insectivore species($M_5$, % $I_n$), which decrease as the water quality degradates, and these metric values were low as 1.5% and 32.4%, respectively. In contrast, the proportions of tolerant species and omnivore species as the other $B_p$ parameters were 43% and 62%, respectively, which indicate a degradation and disturbance of the ecosystem. Riparian vegetation coverage($M_9$, % $V_c$) as a variable of $P_p$, were higher in the 2nd than 1st survey, and decreased toward the dam site from the headwaters. This was due to a habitat simplification(modifications) by frequent bottom dredging of sand and rocks. The variables of $C_p$ were two metrics of specific conductivity($M_{10}$, $C_I$) as an indicator of ionic contents(cations and anions) and the Trophic State Index(TSI) based on chlorophyll-a($M_{11}$, $TSI_{CHL}$) as an indicator of trophic state. These metric values of $C_p$ had high temporal variations, but low spatial variations on the main axis of the reservoir along with the ecological health of a good condition. The environmental impact assessments using the LEHA multi-metric model indicated that the model values of LEHA averaged 30.7 in 1st survey(fair - poor condition) vs. 28 in 2nd survey(poor condition), indicating a temporal variation of the ecological health. The model values of LEHA showed a minimum(28) in the lacustrine zone(S5) and ranged from 29 to 30 in the other locations sampled, indicating a low longitudinal variation. Overall, environmental impact assessments, based on LEHA model, suggest that chemical water quality conditions were in good, but biological conditions were disturbed due to habitat modifications by frequent dredgings in the system.