• 한국수소및신에너지학회논문집
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• 제16권2호
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• pp.180-190
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• 2005

The PSA cycle was performed for the separation of binary gas mixture $H_2/Ar$ (80%/20%) using the six-step two-bed process. Adsorption equilibrium contains a LRC model for equilibrium adsorption isotherms and a LDF model for mass transfer. Aspen ADSIM, simulator was applied to predict the separation performance. The effect of cycle parameters such as feed rate, adsorption pressure and P/F ratio on the separation of hydrogen has been studied in experiment and simulation. In the results, maximize the recovery of hydrogen as a high purity was 13LPM feed flowrate, 120sec adsorption time, 11atm adsorption pressure and 0.1 P/F ratio in a cyclic steady-state come out since 10th cycle.

• 벤처창업연구
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• 제14권6호
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• pp.119-130
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• 2019

타트업의 투자 의사결정에 대한 연구들은 활발하게 이루어져 왔다. 하지만, 주로 투자자의 관점에서 연구가 되었기 때문에 피투자 기업의 전략적인 활동은 간과되어왔다. 특히, 스타트업 투자는 일시적으로 한 순간의 결정으로 이루어지는 것이 아닌, 투자 유치 진행과정을 통해 결정된다. 뿐만 아니라, 단계별로 의사결정의 핵심 요소가 달라질 수 있으므로, 스타트업의 초기 투자 유치를 이해하기 위해서는 투자자 만남에서 투자 유치 성공에 이르기까지 전 과정에 걸쳐, 스타트업 기업의 전략적 행동을 분석할 필요가 있다. 이를 위해 핀미러 기술을 활용한 증강현실 (Augumented Reality, AR) 스타트업인 (주)레티널의 사례를 통해 "어떻게" 초기 스타트업이 투자 유치에 성공할 수 있었는지, 피투자자인 스타트업 관점에서 연구하였다. 구체적으로, 본 연구에서는 스타트업이 투자를 받기 전 존재 자체를 알리기 위한 정당성 확보하는 단계를 추가시켜 기존 투자 프로세스 모델을 확장하였다. 이를 바탕으로 1) 정당성 확보, 2) 친화, 3) 검토, 4) 협상 단계 등 4단계로 투자 진행 프로세스를 나누었고, 각 단계별 주요 요인을 분석하고, 스타트업의 전략적 활동을 파악했다. 본 연구는 스타트업의 투자 유치와 관련된 복잡한 과정과 피투자자인 스타트업 기업의 성공적인 전략적 행동들을 이해하는데 많은 도움이 될 수 있을 것으로 판단된다.

• 한국재료학회:학술대회논문집
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• 한국재료학회 1993년도 춘계학술발표회
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• pp.144-144
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• 1993

• Communications for Statistical Applications and Methods
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• 제3권2호
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• pp.77-83
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• 1996

This paper is concerned with an estimation problem for the AR(1) process $Y_t, t=0, {\pm}1, {\cdots}$with time carying autoregressive coefficient, where coefficient itself is also stochastic process. Attention is directed to the problem of finding a consistent estimator of ${\Phi}$, the mean level of autoregressive coefficient. The asymptotic distribution of the resulting consistent estimator of ${\Phi}$, is them discussed. We do not assume any time series model for the time varying autoregressive coefficient.

• The Journal of Korean Physical Therapy
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• 제31권3호
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• pp.141-146
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• 2019

Purpose: To investigate the effect of an augmented reality (AR) system on muscle strength and function level of the paretic lower limb and the balance ability in the early rehabilitation program of acute stroke patients. Methods: The participants (30 or fewer days after stroke) were randomly assigned to receive intervention with an early rehabilitation program using an AR system (n=1) or an early rehabilitation program consisting of functional electrical stimulation and tilt table use (n=1). Patients in both subjects received interventions 4-5 times a week for 3 weeks. Results: In the paretic limb muscle strength, AR subject was increased from 15 to 39.6 Nm and Control subject was increased from 5 to 30.2 Nm. The paretic limb function of AR subject motor function was increased from 8 to 28 score and Control subject motor function was increased from 6 to 14 score. But sensory function was very little difference between the two subjects (AR subject: from 4 to 10 score, Control subject: from 3 to 10 score). In the balance ability, AR subject had more difference after intervention than control subject (AR subject: 33 score, Control subject: 22 score). Conclusion: The early rehabilitation program using the AR system showed a slightly higher improvement in the motor function of the paretic lower limb and balance ability measurement than the general early rehabilitation program. The AR system, which can provide more active, task-oriented, and motivational environment, may provide a meaningful environment for the initial rehabilitation process after stroke.

• 대한기계학회논문집
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• 제18권8호
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• pp.1939-1951
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• 1994

This study introduces a new tool breakage detecting technology comprised of an unsupervised neural network combined with adaptive time series autoregressive(AR) model where parameters are estimated recursively at each sampling instant using a parameter adaptation algorithm based on an RLS(Recursive Least Square). Experiment indicates that AR parameters are good features for tool breakage, therefore it can be detected by tracking the evolution of the AR parameters during milling process. an ART 2(Adaptive Resonance Theory 2) neural network is used for clustering of tool states using these parameters and the network is capable of self organizing without supervised learning. This system operates successfully under the wide range of cutting conditions without a priori knowledge of the process, with fast monitoring time.

• 산업경영시스템학회지
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• 제35권2호
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• pp.138-146
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• 2012

This paper studies the effect of information quality level and customer demand on performance measures in a supply chain. The information quality level compares 2 types, the information levels of a customer demand and a lead time. The customer demand process follows a general auto-correlated AR(1) process without seasonality. In the AR(1) process, ${\sigma}$ indicates the degree of demand fluctuation and ${\rho}$ means the trend of customer demand. ANOVA tests using a 5% significance level are performed in SPSS to examine significant performance changes among various cases.

• 전자공학회논문지A
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• 제30A권12호
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• pp.69-76
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• 1993

The statistical methodology using RSM (response surface method) was used too ptimize the deposition conditions of selective CVD tungsten process for improving the deposition rate and the adhesion property. Temperature, flow rate of SiH$_4$ and WF$_6$ and H$_2$ and Ar carrier gases were chosen for the deposition variables and process characteristics due to carrier gas were intensively investigated. It was observed that temperature was the main factor influencingthe deposition rate in the case of H$_2$ carrier gas while the reactant ratio, $SiH_{4}/WF_{6}$, had the principal effect on the deposition rate in the case of Ar carrier gas. The increased deposition rate and the good adhesion to Si were obtained under Ar carrier gas compared to H$_2$ carrier gas. The optimum conditions for deposition rate and antipeeling property were found to be the temperature range of 300~32$0^{\circ}C$ and the reactant ratio, $SiH_{4}/WF_{6}$, of 0.5~0.6.

• 마이크로전자및패키징학회지
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• 제14권3호
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• pp.15-20
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• 2007

플라스틱 기판에 적용이 가능한 최대 공정온도 $270^{\circ}C$ 이하에서 ZnO-TFT 소자를 제작하였다. ZnO-TFT 소자는 bottom gate 구조로 제작되었으며, ICP-CVD로 형성된 $SiO_2$ 산화물 게이트 공정을 제외하고는 모든 박막증착 공정은 RF-magnetron sputtering process를 이용하였다. ZnO 박막은 Ar과 $O_2$ gas 유량의 비율에 따라 여러 가지 조건에서 RF-magnetron sputtering 시스템을 이용하여 상온에서 증착하였다. Ar과 $O_2$ gas의 비율에 따라 제작된 TFT 소자는 모두 enhancement 모드의 소자특성을 나타내었고, 또한 가시광선영역에 있어 80% 이상의 높은 투과율을 보였다. ZnO 증착시 순수 Ar을 사용하여 제작된 ZnO-TFT의 경우에, $1.2\;cm^2/Vs$의 field effect mobility, 8.5 V의 threshold voltage, 그리고 $5{\times}10^5$의 높은 on/off ratio, 1.86 V/decade의 swing voltage로 가장 우수한 전기적 특성을 보였다.

• 한국주조공학회지
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• 제32권6호
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• pp.276-283
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• 2012

This study presents the results on the changes of crucible thermal conductivity and inflow of Ar, and constructed the mathematical model about heat transfer into furnace. As process variables, simulation model was designated thermal conductivity of crucible to $0.5W{\cdot}m^{-1}{\cdot}K^{-1}$, $1W{\cdot}m^{-1}{\cdot}K^{-1}$, $2W{\cdot}m^{-1}{\cdot}K^{-1}$, $4W{\cdot}m^{-1}{\cdot}K^{-1}$, and inflow rate of Ar to 15 L/min, 30 L/min, 60 L/min. Initial condition and boundary condition were set respectively in two terms of process. Each initial conditions were set up by the preceding simulation of heat and fluid flow. The primary goal is the application of unidirectional growth of Si ingot using the result. In the result of the change of heat conductivity of crucible, the higher thermal conductivity of crucible shows the shorter solidification time and the bigger temperature difference. And the flow patterns are changed with the inflow rate of Ar. Finally, we found that the lower crucible's thermal conductivity, the better crucible is at polycrystalline Si ingot growth. But in case of Ar inflow, it is hard to say about good condition. This data will be evaluated as useful reference used in allied study or process variable control of production facilities.