• 한국세라믹학회지
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• 제48권1호
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• pp.99-105
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• 2011

Lead titanate ($PbTiO_3$) powder was prepared from lead nitrate ($Pb(NO_3)_2$) and titania ($TiO_2$) by hydrothermal route. Phase formation process was investigated by observing the phases formed in various experimental conditions like different KOH concentration, reaction temperature and time. $PbTiO_3$ powder was fabricated when the KOH concentration was 0.8M or higher. An intermediate compound, $PbTi_{0.8}O_{2.6}$, was formed at first by a reaction between PbO and $TiO_2$ and changed into $PbTiO_3$ powder with a perovskite crystal structure. A $PbTiO_3$ phase was formed in a shorter time when a KOH concentration was increased from 0.8M to 8M because a driving force for a $PbTiO_3$ formation was increased due to an increase in a degree of supersaturation. And $TiO_2$ (rutile) and $3PbO{\cdot}H_2O$ were observed at room temperature in a 0.8M KOH solution and $TiO_2$(rutile) and PbO (litharge) in a 8M KOH. A $PbTiO_3$phase was also formed in a shorter time at a higher reaction temperature as a reaction temperature influenced the rates for a dissolution and a precipitation.

• 전력전자학회논문지
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• 제19권2호
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• pp.139-148
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• 2014

State-of-charge (SOC) is one of the significant indicators to estimate the driving range of the electric vehicle and to control the alternator of the conventional engine vehicles as well. Therefore its precise estimation is crucial not only for utilizing the energy effectively but also preventing critical situations happening to the power train and lengthening the lifetime of the battery. However, lead-acid battery is time-variant, highly nonlinear, and the hysteresis phenomenon causes large errors in estimation SOC of the battery especially under the frequent discharge/charge. This paper proposes a novel estimation technique for the SOC of the Lead-Acid battery by using a well-known Extended Kalman Filter (EKF) and an electrical equivalent circuit model of the Lead-Acid battery considering diffusion and hysteresis characteristics. The diffusion is considered by the reconstruction of the open circuit voltage decay depending on the rest time and the hysteresis effect is modeled by calculating the normalized integration of the charge throughput during the partial cycle. The validity of the proposed algorithm is verified through the experiments.

• 산업경영시스템학회지
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• 제18권34호
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• pp.193-204
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• 1995

Many studies show that the value of the warehouse is good. However, studies explicitly mention the tradeoff between costs of operating the warehouse and benefits from the warehouse. Also, it is important to know when the benefits overcome the costs. We study a one-warehouse/N-retailer(s,Q) distribution system with stochastic lead times in order to answer two questions: "What are the optimal policies of the system that minimizes total system costs\ulcorner" and given the optimal policies, "Is the value of the warehouse always good\ulcorner" We use an analytical model for answering the questions. We find that the optimal policies are different from those with deterministic lead times. In fact it is reverse. We alse find the existence of the breakeven point beyond which the benefits starts overcomming the costs. And, we show that one of the breakeven points is the mean ratio of a supplier's lead time to transportation lead time between the warehouse and the retailer. Finally, we show that the breakeven point is sensitive to the ratio of holding costs of the warehouse and the retailer and it is also sensitive to the unit backorder costs at the retailer.sts at the retailer.

• 한국구조물진단유지관리공학회 논문집
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• 제16권2호
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• pp.1-9
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• 2012

철근콘크리트 구조물은 사용연한과 지진 등의 영향으로 균열손상이 주요부재에서 발생되며, 이러한 손상을 보수하기 위해 많은 시간과 노력이 낭비되고 있다. 따라서, 본 연구에서는 소형 리드스위치 센서를 휨시험체 내외부에 매입하거나 부착하여 외력에 의한 균열손상을 스스로 나타내는 스마트 부재에 대하여 연구하였다. 균열손상을 모니터링하기 위해 RF시스템을 리드 스위치센서와 이용하였다. 휨시험체 중앙에 하중이 재하되면 매입되거나 부착된 리드 스위치센서가 파괴되고, 이와 연결된 RF시스템은 손상정보를 전달한다. 본 연구는 무선주파수를 응용한 건축부재의 손상자현 시스템에 대한 기초적 연구이다.

• 한국지반환경공학회 논문집
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• 제18권10호
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• pp.23-34
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• 2017

포화된 흙의 전기적인 특성은 흙 주위에 있는 간극수의 전기전도도에 크게 의존하므로, 흙의 전기전도도 변화를 이용하여 지반속으로의 오염물 침투를 감지하는데 널리 활용되고 있다. 본 연구의 목적은 포화시료에 대해 염분비와 납의 농도 변화에 따른 흙의 전기적 특성 변화를 조사하는 것이다. 전기저항과 시간영역반사법 신호측정을 위한 센서를 매설한 원통형 셀 내부에 담수 및 염분 농도 1%, 2% 그리고 3%의 염수용액을 0~10mg/L 사이의 6가지 납 표준용액과 혼합하여 수용액을 준비하였다. 이후 수용액 속에 건조시킨 모래시료를 수중강사법을 이용하여 조성하였다. 조성된 포화시료에 대해 셀 내부에 설치된 센서들로부터 전기저항과 시간영역반사법 신호를 측정하고 이 결과로부터 전기전도도를 산정하였다. 실험 결과, 주파수 1kHz에서 측정된 전기저항으로 부터 산정한 전기전도도는 납의 농도가 증가함에 따라 연속적으로 증가하는 것으로 나타났으므로 전기저항으로부터 산정한 전기전도도가 오염정도를 파악하기 위해 사용될 수 있는 것으로 나타났다. 또한 시간영역반사법으로부터 산정한 전기전도도의 경우 저농도에서의 납의 농도 변화에도 전기전도도가 변화하지만, 납의 농도가 증가함에 따라 변화 정도는 점차 감소하는 것으로 나타났다. 즉, 시간영역반사법은 중금속 누출여부를 조사하는데 적합한 것으로 평가되었다. 본 연구는 전기저항과 시간영역반사법의 상호보완적인 특성을 활용한다면 해안 및 해양환경에서도 중금속의 누출 및 오염을 감지할 수 있음을 보여준다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2002년도 학술발표회 논문집(I)
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• pp.43-50
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• 2002

Accurate quantitative forecasting of rainfall for basins with a short response time is essential to predict streamflow and flash floods. Previously, neural networks were used to develop a Quantitative Precipitation Forecasting (QPF) model that highly improved forecasting skill at specific locations in Pennsylvania, using both Numerical Weather Prediction (NWP) output and rainfall and radiosonde data. The objective of this study was to improve an existing artificial neural network model and incorporate the evolving structure and frequency of intense weather systems in the mid-Atlantic region of the United States for improved flood forecasting. Besides using radiosonde and rainfall data, the model also used the satellite-derived characteristics of storm systems such as tropical cyclones, mesoscale convective complex systems and convective cloud clusters as input. The convective classification and tracking system (CCATS) was used to identify and quantify storm properties such as life time, area, eccentricity, and track. As in standard expert prediction systems, the fundamental structure of the neural network model was learned from the hydroclimatology of the relationships between weather system, rainfall production and streamflow response in the study area. The new Quantitative Flood Forecasting (QFF) model was applied to predict streamflow peaks with lead-times of 18 and 24 hours over a five year period in 4 watersheds on the leeward side of the Appalachian mountains in the mid-Atlantic region. Threat scores consistently above .6 and close to 0.8 ∼ 0.9 were obtained fur 18 hour lead-time forecasts, and skill scores of at least 4％ and up to 6％ were attained for the 24 hour lead-time forecasts. This work demonstrates that multisensor data cast into an expert information system such as neural networks, if built upon scientific understanding of regional hydrometeorology, can lead to significant gains in the forecast skill of extreme rainfall and associated floods. In particular, this study validates our hypothesis that accurate and extended flood forecast lead-times can be attained by taking into consideration the synoptic evolution of atmospheric conditions extracted from the analysis of large-area remotely sensed imagery While physically-based numerical weather prediction and river routing models cannot accurately depict complex natural non-linear processes, and thus have difficulty in simulating extreme events such as heavy rainfall and floods, data-driven approaches should be viewed as a strong alternative in operational hydrology. This is especially more pertinent at a time when the diversity of sensors in satellites and ground-based operational weather monitoring systems provide large volumes of data on a real-time basis.

• 한국수자원학회논문집
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• 제46권12호
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• pp.1249-1263
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• 2013

장기간의 가뭄에 의한 피해를 최소화하기 위해서는 유역에 적합한 가뭄관리 대책의 수립과 함께 미래에 발생하게 될 가뭄을 미리 예측할 수 있는 기술이 구축되어야 한다. 또한 미래의 가뭄에 대한 합리적 대응 방안을 수립하기 위해서는 가뭄의 지속기간(duration)과 심도(severity)의 정량적인 예측이 선행되어야 한다. 본 연구에서는 수문 시계열의 예측에 가장 많이 이용되고 있는 대표적인 통계학적 기법인 인공신경망 모형(Artificial Neural Network Model)과 가뭄지수를 이용하여 남한지역의 서울, 대전, 대구, 광주 등의 4개 기상관측소를 선정하여 가뭄예측을시도하였다. 가뭄 예측을 위하여 남한지역 내 선정한 기상관측소의 관측된 과거 강수량 자료를 이용하여 산정된 SPI (Standardized Precipitation Index)를 입력변수로 하여 다층 퍼셉트론(Multi Layer Perceptron) 인공신경망 모델에 적용하였으며, 매개변수 보정을 위한 학습기간으로 1976~2000년과 2001~2010년을 예측을 위한 검증기간으로 선정하여, 학습 및 예측을 시도하였다. 학습된 최적의 예측모형을 이용하여 서로 다른 선행예보시간(1~6개월)을 갖고 SPI (3), SPI (6), SPI (12)별로 가뭄을 예측하였으며, 가뭄예측 결과, SPI (3)의 경우에는 1개월 선행예보에서만 좋은 결과를 나타내었으며, SPI (6)의 경우 1~3개월 후의 가뭄을 예측하는 경우에 비교적 관측자료와 잘 일치하는 결과를 나타내었다. SPI (12)의 경우에는 약5개월 후까지의 가뭄예측에 양호한 결과를 나타내었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.959-962
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• 2010

공장 자동화와 로봇공학 등 다양한 산업현장에서 제어 공학은 이용된다. 이러한 제어 공학에서 위치제어와 속도제어를 위해 많은 제어기들이 연구되어 사용되고 있다. 특히, 본 논문에서는 간단하면서 견고한 제어기 중 능동 소자를 이용한 PID (Proportional-Integral-Derivative) 제어기와 수동소자를 이용한 Lead/Lag제어기를 설계하는데 있어 MATLAB 툴을 이용하여 정확한 성능 검증을 수행하려고 한다. 또한, 본 논문에서는 DC 모터를 위해 개선된 PID 및 Lead/Lag제어기 설계하고, 제안한 Lead/Lag 제어기의 효율성을 보여주고자 한다. 제안한 Lead/Lag 제어기는, 단계적인 변수 조정을 통하여 DC 모터 뿐 아니라 복잡한 제어 시스템에 대해서도 효과적으로 응용 가능하다. 결과적으로, 제시된 각 제어기들은 응답시간을 줄인다거나 시스템 에러를 최소화 시키는 등의 산업분야의 문제를 해결하는데 유용하게 사용될 수 있을 것이다.

• 한국컴퓨터정보학회논문지
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• 제22권9호
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• pp.25-32
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• 2017

In this paper, we propose the softwareization of broadcasting system. Recently, the topic of industry is the fourth industrial revolution. The fourth industrial revolution is evolving from physical to virtualization. The Industrial Revolution is based on IT technology. Artificial Intelligence (AI), Big Data, and the Internet of Things, which are famous for Alpha Go, are based on software. Among IT, software is the main driver of industrial terrain change. The systemization of software on the basis of cloud environment is proceeding rapidly. System development through softwarization can reduce time to market lead time, hardware cost reduction and manual operation compared to existing hardware system. By developing and implementing broadcasting system such as IPTV based on cloud, lead time for opening service compared to existing hardware system can be shortened by more than 90% and investment cost can be saved by about 40%. In addition, the area of the system can be reduced by 50%. In addition, efficiency can be improved between infrastructures, shortening of trouble handling and ease of maintenance. Finally, we can improve customer experience through rapid service opening.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1997년도 추계학술대회발표논문집; 홍익대학교, 서울; 1 Nov. 1997
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• pp.117-120
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• 1997

In this paper, we analyze Inventory Strategy of our country middle-small Company which are ordered form large Company which product using JIT(just in time) System. Until now, we have not found a good inventory strategy for middle small Company which such like above. In this paper, we first simply survey product lead time, lot size and safety inventory in continuous product system which idea can be adapted our object. We try to mathematical modelling of product lead time, total inventory cost of bur country middle-small Company. We suggest inventory strategy for middle-small Company.