• 상하수도학회지
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• 제34권2호
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• pp.105-114
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• 2020

In this study, based on the System Dynamics (SD) methodology, the interrelationship between the factors inherent in the operation of the New Technology Certification System (NTCS) in Korea was identified by a causal map containing a feedback loop mechanism in connection with 'new technology development investment', 'commercialization of new technology', and 'sales by new technology'. This conceptualized causal map was applied to the simulation of the operations of the New Excellent Technology and Environmental Technology Verification System (NET&ETV) run by the Ministry of Environment among various NTCSs in Korea. A SD computer simulation model was developed to analyze and predict the operational performance of the NET&ETV in terms of key performance indices such as 'sales by new technology'. Using this model, we predicted the future operational status the NET&ETV and found a policy leverage that greatly influences the operation of the NET&ETV. Also the sensitivity of the key indicators to changes in the external variables in the model was analyzed to find policy leverage.

• 벤처창업연구
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• 제16권2호
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• pp.95-108
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• 2021

기술혁신 활동은 기업이 기술경쟁력을 확보하고 지속적으로 성장하기 위해 매우 중요한 활동이다. 우리나라는 기업의 혁신활동을 촉진하기 위하여 국가차원에서 인증제도를 운영하며, 중소기업의 글로벌 기술경쟁력 제고를 위해 노력하고 있다. 이 가운데 기술혁신과 관련된 대표적인 제도가 신기술(NET) 인증이다. 신기술 인증제도는 엄격한 3단계 심사과정을 거쳐 인증하고 있으며, 기업의 신기술 상용화, 기술거래 및 초기시장 진출 촉진 등을 목적으로 운영되고 있다. 신기술 인증을 획득했다는 것은 해당 기업이 일정 수준 이상의 기술경쟁력을 확보하고 있다는 것을 의미한다. 이에 본 연구에서는 신기술 인증제도를 중심으로 기업의 어떠한 기술혁신활동이 R&D프로젝트 성공과 경영성과 제고에 영향을 미치는 지에 대한 실증분석을 수행하고자 하였다. 이를 검증하기 위해 주요변수로 기술전략, 기술기획, 체계화된 R&D프로세스, 내부협력, 외부협력 활동을 설정하였다. 실증분석 결과, 본 연구에서 설정한 변수 모두 개별적으로 R&D프로젝트 성공과 경영성과 제고에 기여함을 확인하였다. 다만, 모든 변수를 고려한 종합적인 차원에서 살펴보면, R&D프로젝트 성공을 위해서는 체계화된 R&D프로세스 관리와 외부기관과의 협력 활동이, 경영성과 제고를 위해서는 연구개발 초기 단계인 기술전략 수립과 기술기획 활동이 통계적으로 유의미한 영향을 미치는 것으로 분석되었다. 본 연구는 기업부설연구소를 설립·운영하고 있으며, 활발히 연구개발(R&D) 활동을 수행하고 있는 혁신지향적인 중소기업을 대상으로 하였으며, 분석방법으로는 다중회귀분석을 활용하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.399-399
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• 2020

본 연구에서는 시스템다이내믹스(System Dynamics, SD) 방법론에 입각하여 국내의 신기술인증제도(New Technology Certification System, NTCS)의 운영에 내재된 요소들 간의 상호관계를 신기술 개발투자, 신기술의 사업화 및 신기술에 의한 매출과 연관하여 피드백루프 메카니즘을 내포하고 있는 인과지도로 규명하였다. 이렇게 개념화된 인과지도는 국내의 여러 신기술인증제도 중 환경부에서 운영중인 '환경신기술인증 및 기술검증제도(New Excellent Technology and Environmental Technology Verification, NET & ETV)'에 적용되었으며 NET & ETV의 운영 성과를 신기술에 의한 매출액(수주금액)의 관점에서 분석 및 예측할 수 있는 SD 컴퓨터 시뮬레이션 모델이 개발되었다. 개발된 SD 모형은 NET & ETV 운영의 주요 지표에 관한 기존 통계자료를 적절히 모사하였으며 모형의 검증과정에서 시행착오를 통하여 산정된 값들은 NET & ETV의 일반적인 과거 상태를 합리적인 범위 내에서 적절하게 나타내고 있는 것으로 나타났다. 본 연구에서는 개발된 SD모형을 이용하여 기본시나리오에 대한 NET & ETV의 미래 운영 상태를 예측하였으며, 환경신기술의 적용 현장 당 수주금액에 대한 시간 추세선식의 민감도를 발견하였다.

• 반도체디스플레이기술학회지
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• 제21권2호
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• pp.57-67
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• 2022

The curing characteristics of naphthalene type epoxy resin systems according to the change of curing agent were investigated to develop a new next-generation EMC(Epoxy Molding Compound) with excellent warpage characteristics, low thermal expansion, and excellent fluidity for WLP(Wafer Level Package). As epoxy resins, DGEBA, which are representative bisphenol type epoxy resins, NE-16, which are the base resins of naphthalene type epoxy resins, and NET-OH, NET-MA, and NET-Epoxy resins newly synthesized based on NE-16 were used. As a curing agent, DDM (Diamino Diphenyl Methane) and CBN resin with naphthalene moiety were used. The curing reaction characteristics of these epoxy resin systems with curing agents were analyzed through thermal analysis experiments. In terms of curing reaction mechanism, DGEBA and NET-OH resin systems follow the nth curing reaction mechanism, and NE-16, NET-MA and NET-Epoxy resin systems follow the autocatalytic curing reaction mechanism in the case of epoxy resin systems using DDM as curing agent. On the other hand, it was found that all of them showed the nth curing reaction mechanism in the case of epoxy resin systems using CBN as the curing agent. Comparing the curing reaction rate, the epoxy resin systems using CBN as the curing agent showed a faster curing reaction rate than them with DDM as a hardener in the case of DGEBA and NET-OH epoxy resin systems following the same nth curing reaction mechanism, and the epoxy resin systems with a different curing mechanism using CBN as a curing agent showed a faster curing reaction rate than DDM hardener systems except for the NE-16 epoxy resin system. These reasons were comparatively explained using the reaction rate parameters obtained through thermal analysis experiments. Based on these results, low thermal expansion, warpage reduction, and curing reaction rate in the epoxy resin systems can be improved by using CBN curing agent with a naphthalene moiety.

• International Journal of Ocean Engineering and Technology Speciallssue:Selected Papers
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• 제4권1호
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• pp.22-30
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• 2001

A new concept wave absorber is proposed. It is a net type wave absorber. Its efficiency was reported in another publication. Since it is based on new concept, the traditional wave absorber theory is not applicable. It is modeled by introducing damping terms in linearized free surface boundary conditions in this study. The length and the thickness of the wave absorber are modeled by the length and the coefficient of the damping terms. Series of experiments are carried out to get the data for the coefficients of the damping term. The boundary element method is adopted to solve the system. The predicted wave heights show excellent agreement with those of experiments when the lengths of the incoming waves are within the length of the wave absorber.

• 한국건설관리학회논문집
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• 제23권5호
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• pp.65-76
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• 2022

국내 건설기술의 발전을 도모하고 국가경쟁력을 제고하기 위한 목적으로 1989년 도입된 건설 신기술 지정제도는 심사과정에서 신기술의 원가계산서를 검토하고, 설계·시공 공사비, 유지관리비 등 비용절감효과와 공사기간 단축 효과를 경제성 항목으로 평가하고 있다. 그러나 이 과정에서 고유기술에 대하여 공사비산정기준관리기관과 신기술 개발자간의 의견차이가 빈번히 발생하고 있으며, 또한 현행 신기술에 대한 원가산정기준이 단위수량당 소요량만을 제시하는 방식으로 생산성에 대한 정보가 부재하여 기존 유사 기술과의 공사기간에 대한 객관적인 비교가 어려운 실정이다. 본 연구에서는 건설 신기술 심사 시 원가산정기준 검토절차와 심사기준, 신기술 품셈 작성방법 등 현황을 분석하고 해외 원가산정기준과 비교하여 현행 건설 신기술의 원가산정기준 개선방안을 제시하였다. 제시한 개선방안은 작업조 기반의 생산성 정보를 제공하고, 적용단가를 제시하여 원가기준의 투명성을 확보할 수 있도록 구성하였으며, 신기술의 특성을 고려하여 재료비와 기계경비에 대한 원가정보 역시 제공할 수 있도록 하였다. 본 연구의 개선된 원가산정 기준을 통해 발주자에게 신기술에 대한 원가정보를 현행보다 세부적으로 제공하고, 공사비 산정 과정을 보다 간소화함으로써 건설 신기술의 활용과 현장적용성을 향상시킬 수 있으리라 기대된다.

• Nuclear Engineering and Technology
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• 제55권5호
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• pp.1541-1558
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• 2023

The new Modified-690Gd alloy, namely as Ni-30Cr-(10-x) Fe-xGd (x = 0.5, 1.0, 1.5,2.0, 3.0 wt%) for function structure integrated thermal neutron shielding has been prepared and characterized. The Modified-690Gd alloy was mainly composed of γ austenite matrix and (Ni, Cr, Fe)₅Gd precipitated along grain boundaries. The new Modified-690Gd alloy had great mechanical properties, which had the tensile strength exceeding 620 MPa and the elongation being above 50%. Meanwhile, this alloy had excellent weldability and good corrosion resistance in boric acid. The new Modified-690Gd alloy is expected to be a kind of high efficiency thermal neutron shielding materials.

• Nuclear Engineering and Technology
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• 제54권10호
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• pp.3864-3877
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• 2022

We propose a new approach called PESA (Prioritized replay Evolutionary and Swarm Algorithms) combining prioritized replay of reinforcement learning with hybrid evolutionary algorithms. PESA hybridizes different evolutionary and swarm algorithms such as particle swarm optimization, evolution strategies, simulated annealing, and differential evolution, with a modular approach to account for other algorithms. PESA hybridizes three algorithms by storing their solutions in a shared replay memory, then applying prioritized replay to redistribute data between the integral algorithms in frequent form based on their fitness and priority values, which significantly enhances sample diversity and algorithm exploration. Additionally, greedy replay is used implicitly to improve PESA exploitation close to the end of evolution. PESA features in balancing exploration and exploitation during search and the parallel computing result in an agnostic excellent performance over a wide range of experiments and problems presented in this work. PESA also shows very good scalability with number of processors in solving an expensive problem of optimizing nuclear fuel in nuclear power plants. PESA's competitive performance and modularity over all experiments allow it to join the family of evolutionary algorithms as a new hybrid algorithm; unleashing the power of parallel computing for expensive optimization.

• Nuclear Engineering and Technology
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• 제54권6호
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• pp.2023-2030
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• 2022

A novel pulse fitting analysis (PFA) method is presented for the acquisition of nuclear spectra. The charging process of the feedback capacitor in the resistive feedback charge-sensitive preamplifier is equivalent to the impulsive pulse, and its impulse response function (IRF) can be obtained by non-linear fitting of the falling edge of the nuclear pulse. The integral of the IRF excluding the baseline represents the energy deposition of the particles in the detector. In addition, since the non-linear fitting process in PFA method is difficult to achieve in the conventional architecture of spectroscopy system, a new multi-channel analyzer (MCA) based on Zynq SoC is proposed, which transmits all the data of nuclear pulses from the programmable logic (PL) to the processing system (PS) by high-speed AXI-Stream in order to implement PFA method with precision. The linearity of new MCA has been tested. The spectrum of ¹³⁷Cs was obtained using LaBr₃(Ce) scintillator detector, and was compared with commercial MCA by ORTEC. The results of tests indicate that the MCA based on PFA method has the same performance as the commercial MCA based on pulse height analysis (PHA) method and excellent linearity for γ-rays with different energies, which infers that PFA method is an effective and promising method for the acquisition of spectra. Furthermore, it provides a new solution for nuclear pulse processing algorithms involving regression and iterative processes.

• Nuclear Engineering and Technology
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• 제54권1호
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• pp.310-317
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• 2022

The mass attenuation coefficient is the primary physical parameter to model narrow beam gamma-ray attenuation. A new machine learning based approach is proposed to model gamma-ray shielding behavior of composites alternative to theoretical calculations. Two fuzzy logic algorithms and a neural network algorithm were trained and tested with different mixture ratios of vanadium slag/epoxy resin/antimony in the 0.05 MeV-2 MeV energy range. Two of the algorithms showed excellent agreement with testing data after optimizing adjustable parameters, with root mean squared error (RMSE) values down to 0.0001. Those results are remarkable because mass attenuation coefficients are often presented with four significant figures. Different training data sizes were tried to determine the least number of data points required to train sufficient models. Data set size more than 1000 is seen to be required to model in above 0.05 MeV energy. Below this energy, more data points with finer energy resolution might be required. Neuro-fuzzy models were three times faster to train than neural network models, while neural network models depicted low RMSE. Fuzzy logic algorithms are overlooked in complex function approximation, yet grid partitioned fuzzy algorithms showed excellent calculation efficiency and good convergence in predicting mass attenuation coefficient.