• 제목/요약/키워드: Generalized Modeling

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케로신/액체산소의 고압 연소해석을 위한 열역학/전달 물성치 해석 패키지 개발 (Development of Real-Fluid Package Compatible with Chemkin for High-Pressure Kerosene/LOx Combustion)

  • 김성구;최환석
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2011년도 제36회 춘계학술대회논문집
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    • pp.89-92
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    • 2011
  • 초임계 압력 조건에서 분사된 액체추진제의 혼합 및 연소 현상을 해석하기 위해서는 열역학적 비이상성과 전달 물성치의 특이성을 예측하는 것이 선행되어야 한다. 본 연구에서는 일반화된 3차 상태방 정식(cubic EoS)을 기반으로 실제유체의 열역학/전달 물성치를 계산하는 서브루틴들을 개발하였으며, 표준 화학반응 패키지인 Chemkin과 쉽게 연동될 수 있도록 하였다. 실제유체 해석 패키지를 이용하여 기존의 층류화염편 코드를 확장하였으며, 실제 로켓엔진이 갖는 고압 연소조건하에서 케로신과 액체산소의 국소화염구조에 대한 수치해석 연구를 수행하였다.

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Inhomogeneous bonding state modeling for vibration analysis of explosive clad pipe

  • Cao, Jianbin;Zhang, Zhousuo;Guo, Yanfei;Gong, Teng
    • Steel and Composite Structures
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    • 제31권3호
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    • pp.233-242
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    • 2019
  • Early detection of damage bonding state such as insufficient bonding strength and interface partial contact defect for the explosive clad pipe is crucial in order to avoid sudden failure and even catastrophic accidents. A generalized and efficient model of the explosive clad pipe can reveal the relationship between bonding state and vibration characteristics, and provide foundations and priory knowledge for bonding state detection by signal processing technique. In this paper, the slender explosive clad pipe is regarded as two parallel elastic beams continuously joined by an elastic layer, and the elastic layer is capable to describe the non-uniform bonding state. By taking the characteristic beam modal functions as the admissible functions, the Rayleigh-Ritz method is employed to derive the dynamic model which enables one to consider inhomogeneous system and any boundary conditions. Then, the proposed model is validated by both numerical results and experiment. Parametric studies are carried out to investigate the effects of bonding strength and the length of partial contact defect on the natural frequency and forced response of the explosive clad pipe. A potential method for identifying the bonding quality of the explosive clad pipe is also discussed in this paper.

The Effect of Spiritual Marketing and Entrepreneurship Orientation on Determining Sustainable Competitive Advantage

  • BAMBANG, Ahmad;KUSUMAWATI, Andriani;NIMRAN, Umar;SUHARYONO, Suharyono
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.231-241
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    • 2021
  • The purpose of this study is to apply Structural equation modeling (SEM) analysis with Generalized Structured Component Analysis (GSCA) and translate the effect of Spiritual Marketing and Entrepreneurial Orientation on Sustainable Competitive Advantage with Marketing Capabilities as Mediation, especially for General BBM marketing at PT. Pertamina (Persero). The quantitative approach in this study uses a survey method by taking samples from the population. The survey was conducted by distributing questionnaires to respondents. Data analysis was performed using SEM and analyzed using the GSCA model. The population of this study consisted of 3,207 workers in central and regional marketing offices (Marketing Operation Region (MOR) spread throughout Indonesia. Therefore, a sample of 356 respondents was taken according to the Slovin formula. Spiritual marketing and entrepreneurial orientation directly influence the ability to improve Innovation which directly influences sustainable competitive advantage. Therefore, to develop a sustainable competitive advantage in marketing Pertamina's General BBM, it is necessary to implement spiritual marketing and improve entrepreneurial orientation. The novelty in this study lies in the unprecedented research on the role and position of spiritual marketing towards marketing capabilities and sustainable competitive advantage, combined with entrepreneurial orientation variables.

맞춤형 클라우드 BIM 서비스 요구기능 도출에 관한 연구 - 의료시설 설계를 중심으로 - (A Study on Demand Function of Customized Cloud BIM Service - Focused on Medical Facility Design -)

  • 정성호;이병수;최윤기
    • 대한건축학회논문집:계획계
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    • 제35권7호
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    • pp.53-61
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    • 2019
  • Cloud BIM, which incorporates cloud computing technology and BIM technology, is increasingly used in construction. In particular, the recent trend of cloud services in IT field is to provide customized cloud services according to the characteristics of users. These changes are also linked to the cloud BIM, which is emerging in the construction industry. However, cloud BIM researches and commercial technologies that are currently underway do not reflect these trends, and they provide services through generalized management functions in construction projects. In order to solve these problems, a new type of customized cloud BIM service is needed that can provide cloud services by reflecting the characteristics of the project, customization based on the user's work, and providing the knowledge service. Therefore, this study aims to derive the system requirement function that should be preceded for implementing the customized cloud BIM service, and the target project is selected as the medical facility.

머신러닝을 이용한 국내 수입 자동차 구매 해약 예측 모델 연구: H 수입차 딜러사 대상으로 (A Study on the Prediction Model for Imported Vehicle Purchase Cancellation Using Machine Learning: Case of H Imported Vehicle Dealers)

  • 정동균;이종화;이현규
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권2호
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    • pp.105-126
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    • 2021
  • Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.

Factors Influencing Environmental Disclosure: A Case Study of Manufacturing Companies in Indonesia

  • FUADAH, Luk Luk;SAFTIANA, Yulia;KALSUM, Umi;ARISMAN, Anton
    • The Journal of Asian Finance, Economics and Business
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    • 제8권9호
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    • pp.23-33
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    • 2021
  • The main objective of this research is to examine the effect of organizational culture, environmental uncertainty, and manager's personnel value on environmental disclosure through the environmental organizational structure of manufacturing companies on the Indonesia Stock Exchange. This research uses the structuration and contingency theory. The sample in this study focused on the level of heads or managers or directors of manufacturing companies listed on the Indonesia Stock Exchange. The research data was obtained through an online questionnaire distributed to heads or managers. The total sample of this study is 161 manufacturing companies. The data comprising of 64 respondents was completed and can be processed. Empirical testing used Structural Equation Modeling (SEM) through Partial Least Square (PLS). The result shows that environmental uncertainty and management personnel value have a positive effect on the environmental organizational structure, as well as the environmental organizational structure has a positive effect on the environmental disclosure. However, organizational culture has no effect on the environmental organizational structure. This research can provide benefits for manufacturing companies. The limitation include the low level of response from the respondents. Also the results cannot be generalized due to its specific focus on the manufacturing companies.

Modeling and Simulation using Simulink and SimPowerSystem of optimized HTS FCL location in a Smart Grid having a Wind Turbine connected with the grid

  • Khan, Umer-Amir;Lee, Sang-Hwa;Seong, Jae-Kyu;Lee, Bang-Wook
    • 한국초전도ㆍ저온공학회논문지
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    • 제12권2호
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    • pp.17-20
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    • 2010
  • A considerable amount of research material discussing designs and properties of High Temperature Superconducting Fault Current Limiter (HTS FCL) is available. However, a shortage of research concerning positioning of HTS FCL in power grid is felt. In this paper a feasibility study of HTS FCL positioning in Smart Grid through simulation analysis is carried out. A complete power network (including generation, transmission and distribution) is modeled in Simulink / SimPowerSystems. A generalized HTS FCL is also designed by integrating Simulink and SimPowerSystem blocks. The distribution network of the model has a wind turbine attached to it forming a micro grid. Three phase fault have been simulated along with placing FCL models at key points of the distribution grid. It is observed that distribution grid, having distributed generation sources attached to it, must not have a single FCL located at the substation level. Optimized HTS FCL location regarding the best fault current contribution from wind turbine has been determined through simulation analysis.

Analytical model of isolated bridges considering soil-pile-structure interaction for moderate earthquakes

  • Mohammad Shamsi;Ehsan Moshtagh;Amir H. Vakili
    • Geomechanics and Engineering
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    • 제34권5호
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    • pp.529-545
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    • 2023
  • The coupled soil-pile-structure seismic response is recently in the spotlight of researchers because of its extensive applications in the different fields of engineering such as bridges, offshore platforms, wind turbines, and buildings. In this paper, a simple analytical model is developed to evaluate the dynamic performance of seismically isolated bridges considering triple interactions of soil, piles, and bridges simultaneously. Novel expressions are proposed to present the dynamic behavior of pile groups in inhomogeneous soils with various shear modulus along with depth. Both cohesive and cohesionless soil deposits can be simulated by this analytical model with a generalized function of varied shear modulus along the soil depth belonging to an inhomogeneous stratum. The methodology is discussed in detail and validated by rigorous dynamic solution of 3D continuum modeling, and time history analysis of centrifuge tests. The proposed analytical model accuracy is guaranteed by the acceptable agreement between the experimental/numerical and analytical results. A comparison of the proposed linear model results with nonlinear centrifuge tests showed that during moderate (frequent) earthquakes the relative differences in responses of the superstructure and the pile cap can be ignored. However, during strong excitations, the response calculated in the linear time history analysis is always lower than the real conditions with the nonlinear behavior of the soil-pile-bridge system. The current simple and efficient method provides the accuracy and the least computational costs in comparison to the full three-dimensional analyses.

PSC I형 거더 실물 모형체 실험을 통한 동적거동특성 분석의 실용적 모델링 기법 연구 (The study of a practical modeling method for the analysis of dynamic behavior by the mockup test of prestressed concrete girder)

  • 김형규;장일영
    • 한국구조물진단유지관리공학회 논문집
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    • 제22권6호
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    • pp.148-156
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    • 2018
  • 교량 구조물 거동의 건전성 평가는 하중재하-처짐의 정적특성과 충격계수와 고유진동수 등의 동적특성으로 평가하는 것이 일반적이며, 이를 수치해석적 방법으로 비교 분석하는 것이 합리적인 방법이라 할 수 있다. 사용하중에 대한 거동은 탄성영역에서 이루어지므로 실물구조체와 수치해석의 결과는 일체성을 보이지만, 동적특성의 경우 특히, 진동학적 분석에 있어서는 구조물의 기하형상과 사용재료의 이질성에 기인하여 실물 구조체의 결과와 다소 차이를 보인다. 이러한 오차를 수렴시키기 위하여 본 연구는 실물 모형체의 실험결과를 바탕으로 다양한 수치해석적 모델을 제시하고 그 예민도를 분석함으로써, 교량 구조물 평가를 위한 실용적인 모델링 기법을 도출하여 안정적인 예비 해석 결과를 제공하는데 그 목적이 있다. 프리스트레스트 콘크리트 구조물의 긴장재를 환산단면으로 치환한 모델을 기반으로 긴장재의 탄성적 특성을 반영한 모델과 수정된 탄성계수를 적용한 모델의 고유진동수가 실물 모형체의 그것과 가장 유사한 결과를 얻을 수 있었다.

상황 온톨로지를 이용한 동적 의사결정시스템 (Dynamic Decision Making using Social Context based on Ontology)

  • 김현우;손미애;이현정
    • 지능정보연구
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    • 제17권3호
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    • pp.43-61
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    • 2011
  • 본 연구는 사용자의 정적, 외부환경과 연관된 동적 상황정보와 사회적 관계와 연관된 개인적 상황정보들을 의사결정 요소로서 고려한 의사결정의 동적 변환(Dynamic Adaptation)을 제안한다. 즉, 의사결정자의 정적, 외재적 정보보다 과거의 경험, 주관적 선호도 및 사회적 관계와 연관된 상황정보(Social Context)를 의사결정에 동적으로 반영하고 동시에 의사결정 해의 사용시점에서의 가용성에 따라 유용 가능한 대안을 추출하는 방법론을 제안하고자 한다. 이를 위해, 정적, 외재적 및 사회적 상황정보를 이용하여 의사결정 추론한다. 추론은 의사결정자의 과거 경험에 기반한 사례기반 추론과 해당 의사결정 결과가 가용하지 않을 경우 수정을 위한 제약식 만족추론으로 이루어진다. 이를 위해 개인적 경험 등의 정보에 기반한 '문제상황 온톨로지'(Problem Context Ontology)와 집단의 경험적 지식에 기반한 '솔루션 온톨로지'(Solution Ontology)를 구축하였다. 의사결정단계는 상황정보 인식 및 문제상황 온톨로지에 매핑하는 단계, 경험적 사례로부터 문제상황에 가장 적합한 사례를 선택하는 단계, 생성된 솔루션이 가용하지 않을 경우 솔루션 온톨로지와 제약식 만족추론을 통해 새로운 대안을 생성하는 단계로 이루어진다. 본 방법론을 모임에 적합한 식당을 제안하는 예제를 적용함으로써 타당성을 검증하였다. 또한 실험을 통해 사회적 상황정보를 고려하여 생성된 의사결정대안이 그렇지 않은 경우보다 의사결정자의 만족도를 향상시켰으며, 생성된 의사결정대안이 가용하지 않은 경우 제약조건식과 솔루션 온톨로지를 이용해 생성한 대안이 유의미함을 검증하였다.