• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.315-315
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• 2010

결정질 실리콘을 포함하는 태양전지의 광전효율은 표면에 입사되는 태양광의 반사를 제외하면 흡수된 광자에 의해 생성되는 전자-정공쌍의 상대적인 비율인 내부양자효율에 의존하게 된다. 실제 생성된 전자-정공쌍은 기판재료의 결정상태와 전기광학적 물성 등에 의해 일부가 재결합되어 2차적인 광자의 생성이나 열로서 작용하고 최종적으로 전자와 정공이 완전히 분리되고 전극에 포집되어 실질적인 유효전류로 작용한다. 16% 이상의 고효율 결정질 실리콘 태양전지양산이 요구되고 있는 현실에서 광전효율 개선 위해 가장 우선적으로 고려되어야 할 변수는 입력 태양광스펙트럼에 대한 결정질 실리콘 표면반사율을 최소화하여 광흡수를 극대화하는 것이라 할 수 있다. 이의 해결을 위하여 대기와 실리콘표면 사이의 굴절률차이가 크면 클수록 태양광스펙트럼에 대한 결정질 실리콘의 광반사는 증가하기 때문에 상대적으로 낮은 굴절률의 $SiO_x$나 $SiN_x$와 같은 반사방지막을 광입력 실리콘표면에 증착하여 광반사율 저감공정을 적용하고 있다. 이와 더불어 결정질 실리콘표면을 화학적으로 혹은 플라즈마이온으로 50-100nm 직경의 바늘형 피라미드형상으로 texturing 함으로 광자들의 다중반사 등에 기인하는 광흡수율의 증가를 기대할 수 있기 때문에 태양전지효율 개선에 긍정적인 영향을 미치는 것으로 이해된다. 본 실험에서도 고효율 다결정 실리콘 태양전지 양산공정에 적용 가능한 ICP-RIE기반 결정질 실리콘표면에 대한 texturing 공정기술을 연구하였다. Double Langmuir 플라즈마 진단시스템(DLP2000)을 적용하여 사용한 $SF_6$와 $O_2$ 개스유량과 챔버압력, 플라즈마 파워에 따른 이온밀도, 전자온도, 포화이온전류밀도, 플라즈마포텐셜의 공간분포를 모니터링하였고 texturing이 완료된 시료에 대하여 A1.5G 표준태양광스펙트럼의 300-1100nm 파장대역에서 반사율을 측정하여 그 변화를 관찰하였다. 본 연구에서 얻어진 결과를 간략히 정리하면 Si texturing에 가장 적합한 플라즈마파워는 100W, $SF_6/O_2$ 혼합비는 18:22, 챔버압력은 30mtorr 등이고 이에 상응하는 플라즈마의 이온밀도는 $2{\sim}3{\times}10^8\;ions/cm^3$, 전자온도는 14~15eV, 포화전류밀도는 $0.014{\sim}0.015mA/cm^2$, 플라즈마포텐셜은 38~39V 범위 등이었다. 현재까지 얻어진 최소 평균반사율은 14.2% 였으며 최적의 texturing패턴 플라즈마공정 조건은 이온에 의한 Si표면원자들의 스퍼터링과 화학반응에 의한 증착이 교차하는 플라즈마 에너지 및 밀도 상태인 것으로 해석된다.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.11
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• pp.265-272
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• 2020

In the research of brain computer interface (BCI) technology, one of the big problems encountered is how to deal with some people as called the BCI-illiteracy group who could not control the BCI system. To approach this problem efficiently, we investigated a kind of spectral EEG characteristics in the prior resting state in association with BCI performance in the following BCI tasks. First, spectral powers of EEG signals in the resting state with both eyes-open and eyes-closed conditions were respectively extracted. Second, a convolution neural network (CNN) based binary classifier discriminated the binary motor imagery intention in the BCI task. Both the linear correlation and binary prediction methods confirmed that the spectral EEG characteristics in the prior resting state were highly related to the BCI performance in the following BCI task. Linear regression analysis demonstrated that the relative ratio of the 13 Hz below and above the spectral power in the resting state with only eyes-open, not eyes-closed condition, were significantly correlated with the quantified metrics of the BCI performance (r=0.544). A binary classifier based on the linear regression with L1 regularization method was able to discriminate the high-performance group and low-performance group in the following BCI task by using the spectral-based EEG features in the precedent resting state (AUC=0.817). These results strongly support that the spectral EEG characteristics in the frontal regions during the resting state with eyes-open condition should be used as a good predictor of the following BCI task performance.

• Tunnel and Underground Space
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• v.30 no.5
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• pp.446-461
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• 2020

Numerical simulations of CIEMAT column test in Spain are performed to investigate the coupled thermo-hydro-mechanical (THM) behavior of MX80 bentonite pellets using TOUGH2-FLAC3D. The heater power and injection pressure of water in the numerical simulations are identical to those in the laboratory test. To investigate the applicability of the thermo-hydraulic (TH) model used in TOUGH2 code to prediction of the coupled TH behavior, the simulation results are compared with the observations of temperature and relative humidity with time. The tendencies of the coupled behavior observed in the test are well represented by the numerical models and the simulator in terms of temperature and relative humidity evolutions. Moreover, the performance of the models for the reproduction and prediction of the coupled TH behavior is globally satisfactory compared with the observations. However, the calculated stress change is relatively small and slow due to the limitations of the simple elastic and swelling pressure model used in numerical simulations. It seems that the two models are insufficient to realistically reproduce the complex coupled THM behavior in the bentonite pellets.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.12
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• pp.2251-2257
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• 2006

We fabricated ZnO thin film successfully by using RF magnetron sputtering and investigated its potential for being utilized as the key material of piezoelectric device with the characterization of ZnO thin film such as such as crystallinity, surface morphology, c-axis orientation, film density. In thin study, $Ar/O_2$ gas ratio is fixed 70/30, RF power 125W, working pressure 8mTorr, distance between substrate and target 70mm, but the substrate temperature is varied from room temperature to $400^{\circ}C$. The relative intensity ($I_{(002)}/I_{(100)}$) or (002) peak in ZnO thin film deposited at $300^{\circ}$ was exhibited as 94%, then its FWHM was $0.571^{\circ}C$. Also, from the surface morphology evaluated by SEM and AFM, the film deposited at $300^{\circ}C$ showed uniform particle shape and excellent surface roughness of 4.08 m. The tendency of ZnO thin film density was exhibited to be denser with increasing substrate temperature but slightly decreased at near $400^{\circ}C$.

• Journal of IKEEE
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• v.5 no.2 s.9
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• pp.190-200
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• 2001

This paper is addressed to welding defect feature vector selection and implementation method of welding defect classifier using fuzzy techniques. We compare IAV, zero-crossing number as time domain analysis, power spectrum coefficient as frequency domain, histogram as both domain for welding defect feature selection. We choose histogram as feature vector by graph analysis and find out that maximum frequent occurrence number and section of corresponding signal scale in relative histogram show obvious difference between normal welding and voiding with penetration depth defect. We implement a fuzzy welding defect classifier using these feature vector, test it to verify its effectiveness for 695 welding data frame which consist of 4000 sampled data. As result of test, correct classification rate is 92.96%. Lab experimental results show a effectiveness of fuzzy welding defect classifier using relative histogram for practical Laser welding monitoring system in industry.

• Aerospace Engineering and Technology
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• v.11 no.2
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• pp.65-72
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• 2012

Numerical simulations were performed to study the stall characteristics of turboprop aircraft. Stall characteristics were qualitatively investigated using the computational results of various configurations based on the combinations of propeller and high lift device. For the analysis of stall characteristics, three-dimensional Navier-Stokes solver with Spalart-Allmaras turbulence model was used and the relative motion between propeller and wing was simulated using sliding mesh technique. For the cruise configurations, major flow separation was occurred at the fuselage/wing fairing and the separation was reduced under propeller slipstream condition. For the high lift device configuration without propeller, major flow separation was occurred at the outboard side of nacelle. With rotating propeller, early stall onset due to low relative velocity and high effective angle of attack was observed on the outboard wing section. Regarding rotating direction of propeller, inboard-down direction was preferred due to the stall delay effect of propeller slipstream.

• Journal of Korea Game Society
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• v.15 no.2
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• pp.105-114
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• 2015

We propose a real time user interface that utilizes emotion recognition by physiological signals. To improve the problem that was low accuracy of emotion recognition through the traditional EEG(ElectroEncephaloGram), We developed a physiological signals-based emotion recognition system mixing relative power spectrum values of theta/alpha/beta/gamma EEG waves and autonomic nerve signal ratio of ECG (ElectroCardioGram). We propose both a data map and weight value modification algorithm to recognize six emotions of happy, fear, sad, joy, anger, and hatred. The datamap that stores the user-specific probability value is created and the algorithm updates the weighting to improve the accuracy of emotion recognition corresponding to each EEG channel. Also, as we compared the results of the EEG/ECG bio-singal complex data and single data consisting of EEG, the accuracy went up 23.77%. The proposed interface system with high accuracy will be utillized as a useful interface for controlling the game spaces and smart spaces.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.947-950
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• 2015

In the cause of car accidents in Korea, drowsy driving has shown that it is larger fctors than drunk driving. Therefore, in order to prevent drowsy driving accidents, drowsiness detection and warning system for drivers has recently become a very important issue. Furthermore, Many researches have been published that measuring alpha wave of EEG signals is the effective way in order to be aware of drowsiness of drivers. In this study, we have developed EEG measuring device that applies a signal processing algorithm using the LabView program for detecting drowsiness. According to results of drowsiness inducement experiments for small test subjects, it was able to detect the pattern of EEG, which means drowsy state based on the changing of power spectrum, counterpart of alpha wave. After all, Comparing to the results of drowsiness pattern between commercial equipments and developed device, we could confirm acquiring similar pattern to drowsiness pattern. With this results, the driver's drowsiness prevention system expect that it will be able to contribute to lowering the death rate caused by drowsy driving accidents.

• Science of Emotion and Sensibility
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• v.6 no.1
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• pp.11-16
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• 2003

In this study, we examined the evaluation of virtual Reality (VR) according to the use of motion platform. We recorded electrogastrogram, skin conductance, blood volume, skin temperature, heart rate, and the frequency of eyeblink before, during, after virtual navigation in 33 subjects. We used simulator sickness questionnaire, presence questionnaire , and self-report to evaluate cybersickness and presence in VR system. All subjects experienced VR two times in Motion platform condition and non-Motion platform condition at two-week intervals. Presence score of motion platform condition was greater than non-motion platform condition. The frequency and severity of cybersickness were significantly reduced in motion platform condition than non-motion platform condition. These results suggest that the use of motion platform that synchronizes visual presentation provides higher presence and reduces cybersickness.

• Analyses & Alternatives
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• v.8 no.1
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• pp.111-135
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• 2024

This paper classifies the main directions of public diplomacy as 'sender-centered public diplomacy' and 'receiver-centered public diplomacy' and attempts to conceptualize them in the initial stage. In the process, the paper evaluates the specific cases and performance of 'receiver-centered public diplomacy' for posts uploaded by the U.S. Embassy in Seoul on SNS (Facebook) over the past year in 2021. Receiver-centered public diplomacy aims to win the favor of foreign citizens by introducing and experiencing the culture and specificity of the other country. As a result of the analysis, the U.S. Embassy in Seoul is striving to win the favor of the Korean people by directly introducing and experiencing Korean major issues and trends as well as Korean traditional culture such as kimchi and traditional liquor. Furthermore, it can be seen that the values and policies pursued by the United States are effectively promoted through this method. Korea's public diplomacy, which is still in the 'sender-centered', needs to establish a more effective strategy by referring to the case of the United States.