• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.147-150
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• 1996

This paper describes controller design and implementation method for controlling the temperature distribution in a thermal stratified wind tunnel(TSWT) by using a neural network algorithm. It is impossible to derive a mathematical model of the relation between heat inputs and temperature outputs in the test section of the TSWT governed by a nonlinear turbulent flow. Thus inverse neural network models with a multi layer perceptron structure are used in a feedforward control loop and feedback control loop to generate an arbitrary temperature distribution in the test section of the TSWT.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2948-2963
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• 2015

In the field of computer vision, visual surveillance systems have recently become an important research topic. Growth in this area is being driven by both the increase in the availability of inexpensive computing devices and image sensors as well as the general inefficiency of manual surveillance and monitoring. In particular, the ultimate goal for many visual surveillance systems is to provide automatic activity recognition for events at a given site. A higher level of understanding of these activities requires certain lower-level computer vision tasks to be performed. So in this paper, we propose an intelligent activity recognition model that uses a structure learning method and a classification method. The structure learning method is provided as a K2-learning algorithm that generates Bayesian networks of causal relationships between sensors for a given activity. The statistical characteristics of the sensor values and the topological characteristics of the generated graphs are learned for each activity, and then a neural network is designed to classify the current activity according to the features extracted from the multiple sensor values that have been collected. Finally, the proposed method is implemented and tested by using PETS2013 benchmark data.

• Composites Research
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• 제12권6호
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• pp.53-64
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• 1999

LCP원섬유(fibril)와 폴리아미드6 (PA6)수지로 사출성형된 복합재료 박판(molded thin composite plaques)의 미세구조와 굽힘강도에 대한 에폭시수지 함유율의 효과를 살펴보았다. 성형은 LCP원섬유의 용융점 이하에서 하였으며 이렇게 만들어진 판재는 횡방향 배향을 보이는 두께 $65-120{\mu\textrm{m}}$의 표피층(surface skin layer), 유동방향과 거의 일치하는 배향을 보이는 표피아래층(sub-skin layer), 아크형 곡선유동형태를 보이는 심층(core layer)으로 구성되어 있었다. 에폭시함유율이 달라도 각 층의 미세구조방향은 유사하였으나 에폭시함유율이 증가함에 따라 LCP영역(domain)이 원섬유상에서 층상구조로 변했고 거시적 파괴진로(fracture path)는 인장형에서 전단형으로 바뀌었다. 또한 에폭시 4.8vol%에서 가장 우수한 굽힘강도와 파단변형율을 보였다. 굽힘강도를 수치해석한 결과 에폭시성분을 복합재에 부가하면 각 층의 두께와 미세구조 같은 기하학적인 형태가 변하면서 각 층 자체의 탄성계수와 강도가 열등화 되었음을 알았다.

• 한국농공학회논문집
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• 제63권1호
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• pp.103-116
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• 2021

Analysis of runoff is substantial for effective water management in the watershed. Runoff occurs by reaction of a watershed to the rainfall and has non-linearity and uncertainty due to the complex relation of weather and watershed factors. ANN (Artificial Neural Network), which learns from the data, is one of the machine learning technique known as a proper model to interpret non-linear data. The performance of ANN is affected by the ANN's structure, the number of hidden layer nodes, learning rate, and activation function. Especially, the activation function has a role to deliver the information entered and decides the way of making output. Therefore, It is important to apply appropriate activation functions according to the problem to solve. In this paper, ANN models were constructed to estimate runoff with different activation functions and each model was compared and evaluated. Sigmoid, Hyperbolic tangent, ReLU (Rectified Linear Unit), ELU (Exponential Linear Unit) functions were applied to the hidden layer, and Identity, ReLU, Softplus functions applied to the output layer. The statistical parameters including coefficient of determination, NSE (Nash and Sutcliffe Efficiency), NSEln (modified NSE), and PBIAS (Percent BIAS) were utilized to evaluate the ANN models. From the result, applications of Hyperbolic tangent function and ELU function to the hidden layer and Identity function to the output layer show competent performance rather than other functions which demonstrated the function selection in the ANN structure can affect the performance of ANN.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.320-320
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• 2014

Amorphous silicon alloy (a-Si) solar cells and modules have been receiving a great deal of attention as a low-cost alternate energy source for large-scale terrestrial applications. Key to the achievement of high-efficiency solar cells using the multi-junction approach is the development of high quality, low band-gap materials which can capture the low-energy photons of the solar spectrum. Several cell designs have been reported in the past where grading or buffer layers have been incorporated at the junction interface to reduce carrier recombination near the junction. We have investigated profiling the composition of the a-SiGe alloy throughout the bulk of the intrinsic material so as to have a built-in electrical field in a substantial portion of the intrinsic material. As a result, the band gap mismatch between a-Si:H and $a-Si_{1-x}Ge_x:H$ creates a barrier for carrier transport. Previous reports have proposed a graded band gap structure in the absorber layer not only effectively increases the short wavelength absorption near the p/i interface, but also enhances the hole transport near the i-n interface. Here, we modulated the GeH4 flow rate to control the band gap to be graded from 1.75 eV (a-Si:H) to 1.55 eV ($a-Si_{1-x}Ge_x:H$). The band structure in the absorber layer thus became like a U-shape in which the lowest band gap was located in the middle of the i-layer. Incorporation of this structure in the middle and top cell of the triple-cell configuration is expected to increase the conversion efficiency further.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2006년도 춘계 학술발표회 논문집
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• pp.75-85
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• 2006

In recent geotechnical engineering, geothermal approach has been on the horizon to deal with geoenvironmental issues, freezing and thawing problems, and seepage phenomenon in dams and embankments. In this study, geothermal characteristic through inner body of dams and its influence on the seepage flow were experimented by lab test and field instrumentation. Also, one of up-to-date temperature monitoring technique, called as multi-channel thermal line sensing, was evaluated its availability. As a result of lab test, it is found that the seepage flow has influence on the geothermal characteristic and a potential of finding phreatic line and seepage fluctuation could be possible by continuous temperature monitoring using thermal line sensing skills. These kine of geothermal information could be available to the modelling of water geo-structure interaction. Out of short-term field tests, clear water table and temperature distribution of a dam were easily found through temperature monitoring in holes located near a reservoir and holes within a depth of constant temperature layer. However, it is also found that the geothermal flow and finding seepage line could not be easily understandable through multi-channel temperature monitoring because of the existence of constant temperature field, thermal conductivity of soils and rocks, and unsaturated characteristics of geo-material. In this case, long-term geothermal monitoring is recommended to find sudden fluctuation of seepage line and amount of leakage.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2006년도 학술발표회 논문집
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• pp.1677-1680
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• 2006

하수처리장의 침전지 구조물은 고형물(SS) 및 현탁물을 침전, 제거하여 하수의 정화를 도모하는 시설로 초기 유입 하수의 생물학적 처리로 인해 발생되는 슬러지와 처리수를 분리함에 그 목적을 두고 있다. 침전지 구조물은 장소의 제약 및 침전지의 효율성 측면에서 많은 공법이 제안되고 있으며, 그중 이층 침전지의 경우 구조물의 시공비용 절감 및 공간 활용측면에서 단층 침전지에 비해 우수성을 인정받고 있다. 하지만 상 하 층에 위치하고 있는 침전지 유입부의 위치적 특성으로 인해 균등한 유량의 분배가 이루어지지 않고 유량이 한곳에 집중되는 현상으로 보일 수 있다. 본 연구에서는 3차원 수치모형인 FLOW-3D를 이용하여 이층 침전지의 유량분배 최적화를 위한 설계인자를 도출 하였다. 특히 상 하층에 위치하고 있는 유입부의 위치적인 특성을 고려하여 유입부의 직경을 상층 $500mm{\sim}600mm$, 하층 $500mm{\sim}700mm$으로 변화시키며 수치모의를 수행하였으며, 유입량의 분배효과를 확인하기 위해 각 동일한 위치에서 유입량을 산정하였다. 각 케이스별 분배효과를 분석한 결과 상 하층의 유입부 직경을 상층 600mm 와 하층 700mm를 적용했을 경우 유입량의 표준편차가 가장 작게 발생하며, 침전지 내부의 흐름이 원활하게 이루어지는 것으로 확인되었다. 본 연구에서는 상용 CFD모형인 FLOW-3D를 계획 중인 H하수처리장의 이층 침전지 설계에 적용하였으며 유입부 직경에 따른 분배효과를 분석하였다.

• 한국전기전자재료학회논문지
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• 제13권8호
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• pp.718-723
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• 2000

The critical characteristics of Bi-2223 HTS tapes made by PIT method are influenced by the heat treatment and the mechanical processing. In this study firstly we investigated the influence o rolling reduction rate in mechanical process for improving Jc of HTS tapes. As a result the optimized rolling reduction rate that we obtained was 10%-50% and 30%-30% (1st-2nd). And then we fabricated the stacking type HTS tapes that made of the multi-filamentary tapes with various length(3, 5, 10cm) and with various number of stacking (1, 5, 10 layer). Measuring the critical current and observing the structure of grain we concluded that the stacking type tapes will be able to operate more stably by adding the number of stacking tapes. And we could expect that by minimizing the gap between Ag-sheath of tapes mechanical strength of stacking HTS tapes is enhanced and current in tapes will flow more stably.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2002년도 추계 학술대회논문집
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• pp.109-113
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• 2002

Numerical analysis of aerodynamic heating for KPSAM is performed using aerodynamic heating model suitable to KPSAM, which has complex flow field resulting from the spike attached to the dome, such as large separation area and the strong shock/boundary layer interaction region around reattachment point on the dome. The aerodynamic heating model is validated and modified through the comparison between the flight test measurement and the thermal analysis results. TFD temperature sensors are installed on the dome to measure surface temperature during the flight. Computation results, obtained from the heat transfer analysis on the sensors, agree well with flight test data. The aerodynamic heating model provides heat transfer rate into surface as a boundary condition of unsteady 1D/axisymmetric thermal analysis on the missile structure. The axisymmetric thermal analysis using FLUENT is more versatile than the 1D analysis and can be applied to the heating problem related with complex structures and multi-dimensional heat transfer problems such as prediction of temperature rise at contact surface of different materials.

• Advances in aircraft and spacecraft science
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• 제4권4호
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• pp.449-465
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• 2017

The aim of the present work is to present a computational study of the non-linear aero-elastic behavior of a multi-layered Thermal Protection System (TPS). The severity of atmospheric re-entry conditions is due to the combination of high temperatures, high pressures and high velocities, and thus the aero-elastic behavior of flexible structures can be difficult to assess. In order to validate the specific computational model and the overall strategy for structural and aerodynamics analyses of flexible structures, the simplified TPS sample tested in the 8' High Temperature Tunnel (HTT) at NASA LaRC has been selected as a baseline for the validation of the present work. The von $K{\acute{a}}rm{\acute{a}}n^{\prime}s$ three dimensional large deflection theory for the structure and a hybrid Raleigh-Ritz-Galerkin approach, combined with the first order Piston Theory to describe the aerodynamic flow, have been used to derive the equations of motion. The paper shows that a good description of the physical behavior of the fabric is possible with the proposed approach. The model is further applied to investigate structural and aero-elastic influence of the number of the layers and the stitching pattern.