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      • KCI등재

        반도체 조명 및 AVR 디스플레이 광원 적용을 위한 나노 구조 및 공정 개발

        김제원 한국조명.전기설비학회 2018 조명·전기설비학회논문지 Vol.32 No.12

        The purpose of this study is to produce the three-dimensional structure with the application of nano-mold process. The three-dimensional structure and growth will be more appropriately provided through nano manufacturing process using mask patterning and etching process. This study will show multiple wavelength of light emitting diodes different from the single wavelength of existing ones through formation of nano-mold with uniformity and reproducibility. This study will show the characteristics of various wavelengths beyond blue and green through newly developed nano-mold and its nanorod array. This research will also prove the feasibility of the white light emitting diode without phosphor as multiple wavelength in a single chip can be realized. This kind of study about the light emitting diode with nano structure is actively being conducted to develop the next generation technology for semiconductor lighting, AVR and wearable displays. This study is aimed at forming new nano-mold applied with semiconductor's manufacturing process, suggesting the new characteristics of nano structure by the way of realizing the light emitting diode of three-dimensional structure by this mold.

      • KCI등재
      • KCI등재

        MAST 포장의 공용성 평가

        김제원 한국도로학회 2023 한국도로학회논문집 Vol.25 No.6

        PURPOSES : The purpose of this paper is to evaluate the performance of MAST composite pavement. METHODS : A Testbed with three different sections with varying pavement materials were constructed: Section 1 (MAST(Multi-Layered Asphalt Surface Treatment) Composite Pavement; RCC(Roller Compacted Concrete)+Modified DBST(Double Bituminous Surface Treatment), Section 2 (Aggregate base+Modified DBST), and Section 3 (aggregate base+General DBST). The structural stability and skid resistance were evaluated using LFWD test and sand patch test, respectively. Moreover, laboratory specimens of four different pavement materials (HMA(Hot Mix Asphalt), Gravel base+DBST, RCC+DBST, and RCC+Modified DBST) were fabricated using and the rutting resistance of each pavement type was evaluated using the MMLS3. RESULTS : As a result of the LFWD(Light Falling Weight Deflectometer) test, the elastic modulus of Section 1 was significantly higher compared to the other section with values between 450 MPa to 650 MPa. Meanwhile, the elastic modulus of Section 2 and Section 3 were almost similar from 50 MPa to 150 MPa. Moreover, sand patch test results showed that Section 1 and Section 2 have an excellent surface roughness with values higher than 0.7 mm but Section 3 has a poor surface roughness with MTD(Mean Texture Depth) value of 0.4 mm. Lastly, based on the results of the MMLS3(third scale Model Mobile Load Simulator) test, gravel base+DBST showed the lowest resistance to rutting among the four specimens, and both RCC+modified DBST and RCC+DBST showed good performance up to 600 loading cycles, but the rut depth increased rapidly until 1,000 loading cycles. CONCLUSIONS : MAST composite pavement(RCC+modified DBST) has superior structural stability compared to general DBST pavement (aggregate base+DBST), has excellent skid resistance with values higher than 0.7 mm, and has similar rutting resistance to that of general dense asphalt concrete pavement. Therefore, exhibiting its good performance in both structural and functional aspects, it can be concluded that MAST composite pavement(RCC+modified DBST) can be an effective alternative for pavement material in Southeast Asian developing countries where support for heavy vehicle loads is required and rutting is likely to occur.

      • KCI등재

        머신러닝을 활용한 계획단계 도로공사 공사비용 추정 모델 개발

        김제원,김준수 한국도로학회 2023 한국도로학회논문집 Vol.25 No.6

        PURPOSES : Construction cost estimates are important information for business feasibility analysis in the planning stage of road construction projects. The quality of current construction cost estimates are highly dependent on the expert's personal experience and skills to estimate the arithmetic average construction cost based on past cases, which makes construction cost estimates subjective and unreliable. An objective approach in construction cost estimation shall be developed with the use of machine learning. In this study, past cases of road projects were analyzed and a machine learning model was developed to produce a more accurate and time-efficient construction cost estimate in teh planning stage. METHODS : After conducting case analysis of 100 road construction, a database was constructed including the road construction's details, drawings, and completion reports. To improve the construction cost estimation, Mallow's Cp. BIC, Adjusted R methodology was applied to find the optimal variables. Consequently, a plannigs-stage road construction cost estimation model was developed by applying multiple regression analysis, regression tree, case-based inference model, and artificial neural network (ANN, DNN). RESULTS : The construction cost estimation model showed excellent prediction performance despite an insufficient amount of learning data. Ten cases were randomly selected from the data base and each developed machine learning model was applied to the selected cases to calculate for the error rate, which should be less than 30% to be considered as acceptable according to American Estimating Association. As a result of the analysis, the error rates of all developed machine learning models were found to be acceptable with values rangine from 17.3% to 26.0%. Among the developed models, the ANN model yielded the least error rate. CONCLUSIONS : The results of this study can help raise awareness of the importance of building a systematic database in the construction industry, which is disadvantageous in machine learning and artificial intelligence development. In addition, it is believed that it can provide basic data for research to determine the feasibility of construction projects that require a large budget, such as road projects.

      • SCOPUSKCI등재

        분자선증착법으로 성장된 AlGaN 에피층의 표면 형상 분석

        김제원,최인훈,박영균,김용태,Kim, Je-Won,Choe, In-Hun,Park, Yeong-Gyun,Kim, Yong-Tae 한국재료학회 1999 한국재료학회지 Vol.9 No.9

        분자선증착법으로 (0001) 사파이어 기판 위에 $Al_xGa_1-_xN$ 에피층을 AlN 몰비를 변화시키면서 성장시켰다. AlN 몰비는 0.16에서 0.76까지 변화시켰으며 X선의 회절 실험과 Rutherford backscattering spectroscopy 방법을 이용하여 AlN 몰비를 결정하였다. $Al_xGa_1-_xN$ 에피층의 깊이 방향의 조성 변화를 관찰하였으며 스퍼터 시간에 대해 각 원소가 일정한 원자 농도를 가짐을 알 수 있었다. AlN 몰비의 증가에 따른 표면 특성의 변화를 관찰하기 위하여 atomic force microscopy 측정을 수행하였다. 표면에서의 입자 모양이 AlN 몰비가 변화함에 따라 원형에서 침상형태로 변화함을 알 수 있었다. 표면 입자에 대한 root mean square 값과 average roughness 값을 구하였으며 AlN 몰비를 바꿈에 따라 나타나는 변화를 관찰하였다. Structural properties of $Al_xGa_1-_xN$ epilayers grown on (0001) sapphire substrate by plasma induced molecular beam epitaxy are investigated in the range of AlN molar fraction from 0.16 to 0.76. The AlN molar fraction estimated by X-ray diffraction agrees well with that of Rutherford backscattering spectroscopy, showing a good linear relationship. The uniform Auger electron microscopy depth profile and linear dependence of average atomic concentration of all the constituents of AlGaN epilayers on AlN molar fraction imply that the epitaxial growth of $Al_xGa_1-_xN$ layers with variation of AlN molar fraction is well controlled without the compositional fluctuation in depth of the epilayer. It is observed by atomic force microscopy that the surface grain shape of $Al_xGa_1-_xN$ epilayer changes from roundish to coalesced one with increasing AlN molar fraction.

      • KCI등재SCOPUS
      • KCI등재

        복합포장의 반사균열 공용성 예측을 통한 역학-경험적 덧씌우기 설계법 개발

        김제원,APLICANO BRUCE ALFRED,ANDRYANTI DEBBY MAR-CELIA,박대욱 한국도로학회 2022 한국도로학회논문집 Vol.24 No.6

        PURPOSES : A mechanistic-empirical (ME) predictive design logic that can compute the reflective cracking life of hot-mix asphalt (HMA) overlaid on top of a composite pavement is proposed herein. METHODS : The overlay thickness design and analysis logic of the HMA were formulated based on the ME concept of reflection crack propagation. Climate data, traffic load data, the pavement material properties, and the thickness of each layer of the pavement are the main inputs for the ME-Reflective Cracking Rate (RCR) prediction algorithm. An Microsoft Excel Virtual Basic for Application (VBA) program was created to aid designers in assessing the expected performance of an HMA overlay design. Calibration was done using data from the Long-Term Pavement Performance (LTPP) sections. Sensitivity analysis was conducted to compare the results yielded by the program and data from a report by the Texas Transportation Institute. RESULTS : The predictive model performance effectively generates the dynamic and relaxation modulus curves. The correlation value of the calibration factors, R2, is 0.79. The calibration factors used for the Asphalt Overlay Thickness Design (AOTD) program and the sensitivity analysis, i.e., k1, k2,, and k3,, are set to 5, 5, and 150, respectively. The sensitivity of the AOTD program affords reasonable results. Additionally, the program yields results similar to the trends presented in a report by the Federal Highway Administration. CONCLUSIONS : The proposed ME design logic is successfully translated into an Excel VBA program, AOTD, which can perform routine assessments of laboratory tests for HMA overlays. The program can effectively perform numerous iterations and computations to predict an HMA overlay. The predictive model can generate reasonable dynamic modulus and relaxation modulus curves for the characterization of HMA overlays. Under the same asphalt binder grade and HMA type, doubling the HMA overlay thickness yields three times the expected reflective cracking service life.

      • 식물성 오일을 이용한 바이오 폴리머 콘크리트의 외부환경 저항성 평가 연구

        김제원,김태우,김부일,박희문 한국도로학회 2013 한국도로학회 학술대회 발표논문 초록집 Vol.2013 No.09

        전 세계적으로 산업의 고도화로 인하여 환경오염이 급속도로 진행되고 있으며, CO2 발생의 증가로 지 구 온난화 현상이 급속도로 진행되고 있다. 기존의 일반 아스팔트포장은 약 160℃의 고온에서 생산 및 시공되기 때문에 CO2가 크게 발생되며, 시멘트포장 또한 시멘트 생산 시 CO2가 발생되고 있다. 최근 강상판 장대교량(케이블교)의 건설이 증가하고 있으며, 사하중을 절감하기 위한 박층 폴리머 콘크리트가 개발되고 있다. 그러나 폴리머 수지도 석유계 재료로 생산되기 때문에 CO2가 발생되며 석유자원 의 고갈로 인한 폴리머 수지의 가격 상승 등이 문제점으로 부각되고 있다. 이러한 문제점의 대안으로 식물성 수지를 사용한 바이오 폴리머 수지를 개발하는 연구가 지속적으로 수행되고 있다. 그러나 식물성 재 료를 사용하게 되면 기존 석유계 수지에 비하여 강도 및 환경 영향에 대한 물리적 특성이 감소하는 문제 가 발생하여 차량하중의 영향이 작은 주차장, 보도, 자전거 도로 등에 적용되고 있는 실정이다. 본 연구에서는 기존 석유계수지의 약 30~50%를 식물성 재료로 대체한 도로포장용 바이오 폴리머 수지를 개발하고자 한다. 식물성 재료는 콩유(Soybean Oil), 피마자유(Castor Oil), 야자수유(Palm Oil) 등 그 종류가 다양하지만 폴리올(Polyol)공정을 거치지 않고 생산이 가능한 피마자유를 이용하여 생산비용을 절감하였으며, 환경 영향 저항성과 관련된 시험을 수행하여 도로포장에 대한 적용성을 평가하였다. 식물 성 재료가 약 30% 첨가된 수지(906-3)와 50% 첨가된 수지(2I)를 대상으로 무처리 상태의 강도와 처리 후(동결융해, 자외선)의 강도를 측정하여 비교·평가하고 염화물에 대한 저항성을 시험하였다. 그 결과 기 존 석유계 폴리머 수지에 식물성 재료를 50% 대체하여도 강도변화가 미미한 결과를 도출하여 바이오 폴리머 수지를 도로포장에 적용하여도 문제가 없음을 확인하였다.

      • KCI등재

        지표투과레이더를 이용한 아스팔트 혼합물의 공극률 예측에 관한 연구

        김제원,김연태,김부일,박희문 한국도로학회 2016 한국도로학회논문집 Vol.18 No.4

        PURPOSES: The objective of this study was to determine the relationship between the dielectric characteristics of asphalt mixtures and the air voids present in them using ground penetrating radar (GPR) testing. METHODS : To measure the dielectric properties of the asphalt mixtures, the reflection coefficient method and the approach based on the actual thickness of the asphalt layer were used. An air-couple-type GPR antenna with a center frequency of 1 GHz was used to measure the time for reflection from the asphalt/base layer interface. A piece of aluminum foil was placed at the interface to be able to determine the reflection time of the GPR signal with accuracy. An asphalt pavement testbed was constructed, and asphalt mixtures with different compaction numbers were tested. After the GPR tests, the asphalt samples were cored and their thicknesses and number of air voids were measured in the laboratory. RESULTS: It was found the dielectric constant of asphalt mixtures tends to decrease with an increase in the number of air voids. The dielectric constant values estimated from the reflection coefficient method exhibited a slight correlation to the number of air voids. However, the dielectric constant values measured using the approach based on the actual asphalt layer thickness were closely related to the asphalt mixture density. Based on these results, a regression equation to determine the number of air voids in asphalt mixtures using the GPR test method was proposed. CONCLUSIONS: It was concluded that the number of air voids in an asphalt mixture can be calculated based on the dielectric constant of the mixture as determined by GPR testing. It was also found that the number of air voids was exponentially related to the dielectric constant, with the coefficient of determination, R2, being 0.74. These results suggest that the dielectric constant as determined by GPR testing can be used to improve the construction quality and maintenance of asphalt pavements.

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