• Title/Summary/Keyword: applicability of the model

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A NUMERICAL SIMULATION OF THE PRESSURE COEFFICIENT AROUND A CUBIC BUILDING MODEL (수치풍동 기법을 이용한 정사각형 건물 주위의 풍압계수에 관한 연구)

  • Yeo, Jae-Hyun;Hur, Nahm-Keon;Won, Chan-Shik;Kim, Sa-Ryang;Choi, Chang-Koon
    • 한국전산유체공학회:학술대회논문집
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    • 2007.10a
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    • pp.162-166
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    • 2007
  • In the present study, the pressure coefficient of a cubic building model is numerically simulated. Three turbulence models of standard ${\kappa}-{\varepsilon}$, RNG ${\kappa}-{\varepsilon}$ and LES are adopted and the results are compared with the available experimental data. From the results, it has been found that RNG ${\kappa}-{\varepsilon}$ turbulence model and LES turbulence model were shown to predict fairly well the experimental pressure coefficient. In contrast, the results of the standard ${\kappa}-{\varepsilon}$ turbulence model showed large discrepancies in pressure coefficient on the side and top surfaces of the cubic building, which limits the applicability of the standard ${\kappa}-{\varepsilon}$ turbulence model on wind engineering.

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Customer-based Recommendation Model for Next Merchant Recommendation

  • Bayartsetseg Kalina;Ju-Hong Lee
    • Smart Media Journal
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    • v.12 no.5
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    • pp.9-16
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    • 2023
  • In the recommendation system of the credit card company, it is necessary to understand the customer patterns to predict a customer's next merchant based on their histories. The data we want to model is much more complex and there are various patterns that customers choose. In such a situation, it is necessary to use an effective model that not only shows the relevance of the merchants, but also the relevance of the customers relative to these merchants. The proposed model aims to predict the next merchant for the customer. To improve prediction performance, we propose a novel model, called Customer-based Recommendation Model (CRM), to produce a more efficient representation of customers. For the next merchant recommendation system, we use a synthetic credit card usage dataset, BC'17. To demonstrate the applicability of the proposed model, we also apply it to the next item recommendation with another real-world transaction dataset, IJCAI'16.

A Generalized Markov Chain Model for IEEE 802.11 Distributed Coordination Function

  • Zhong, Ping;Shi, Jianghong;Zhuang, Yuxiang;Chen, Huihuang;Hong, Xuemin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.2
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    • pp.664-682
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    • 2012
  • To improve the accuracy and enhance the applicability of existing models, this paper proposes a generalized Markov chain model for IEEE 802.11 Distributed Coordination Function (DCF) under the widely adopted assumption of ideal transmission channel. The IEEE 802.11 DCF is modeled by a two dimensional Markov chain, which takes into account unsaturated traffic, backoff freezing, retry limits, the difference between maximum retransmission count and maximum backoff exponent, and limited buffer size based on the M/G/1/K queuing model. We show that existing models can be treated as special cases of the proposed generalized model. Furthermore, simulation results validate the accuracy of the proposed model.

A Study on Predicting Construction Cost of School Building Projects Based on Support Vector Machine Technique at the Early Project Stage (Support Vector Machine을 이용한 교육시설 초기 공사비 예측에 관한 연구)

  • Shin, Jae-Min;Park, Hyun-Young;Shin, Yoon-Seok;Kim, Gwang-Hee
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2012.11a
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    • pp.153-154
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    • 2012
  • The accuracy of cost estimation at an early stage in school building project is one of the critical factors for successful completion. So many method and techniques have developed that can estimate construction cost using limited information available in the early stage. Among the techniques, Support Vector Machine(SVM) has received attention in various field due to its excellent capacity for self-learning and generalization performance. Therefore, the purpose of this study is to verify the applicability of cost prediction model based on SVM in school building project at the early stage. Data used in this study are 139 school building cost constructed from 2004 to 2007 in Gyeonggi-Do. And prediction error rate of 7.48% in support vector machine is obtained. So the results showed applicability of using SVM model for predicting construction cost of school building projects.

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Nonlinear Finite Element Model for Tidal Analysis(II) -Model Application (조석유동 해석을 위한 비선형 유한요소 모형(II) -모형의 적용-)

  • 나정우;권순국
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.37 no.1
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    • pp.37-48
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    • 1995
  • The TIDE, nonlinear finite element model for the simulation of tidal analysis in a shal- low ooastal area was tested for its applicability at the Saemankeum day. Calibration of the TIDE model has been carried out using the six observed field data collected at five locations within the region for tidal velocity. Verification tests have been done using the six observed field data and four data o- tained from the hydraulic model test for the tidal velocity and elevation. Since the simula- tion results for the tidal elevation at Kunsan outer port by the TIDE model are well agreed with the results from the tidal table for one month, it is proved that the TIDE model may be used effectively to predict the tidal movement in the Saemankeum bay for a longer period.

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Applicability Assessment of Steel Slag as Reactive Capping Material for Blocking Phosphorus Release from Marine Sediment (해양 퇴적물에서 인 용출 차단을 위한 반응성 피복 소재로서 제강슬래그의 적용성 검토)

  • Jo, Sung-Wook;Park, Seong-Jik
    • Journal of The Korean Society of Agricultural Engineers
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    • v.56 no.3
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    • pp.11-17
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    • 2014
  • We investigated the applicability of steel slag as a capping material in order to minimize phosphorus(P) release into seawater. Steel slag is a byproduct from the iron and steel industries and the use of steel slag has some advantages in respect of both cost and environmental concern. P removal by steel slag were studied in a batch system with respect to changes in contact time and initial concentration. Kinetic adsorption data were described well by pseudo 2nd order model, indicating rate limiting step for P adsorption to steel slag is chemical sorption. Equilibrium adsorption data fitted well to Langmuir isotherm model which describes for single layer adsorption. The maximum P adsorption capacity of steel slag was 7.134 mg-P/L. Increasing the depth of steel slag produced a positive effect on interruption of P release. More than 3 cm of steel slag was effective for blocking P release and 5 cm of steel slag was recommended as the depth for capping of P contaminated marine sediments. Increasing P concentration and flow rate had a negative effect on P removal ratio. It was concluded that the steel slag has a potential capping material for blocking P release from marine sediments.

Development of a reduced-order distillation model and real-time tuning using the extended kalmen filter (증류공정 차수감소 모델의 개발 extended kalmen filter에 의한 실시간대에서의 조정)

  • 정재익;최상열;이광순
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.466-470
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    • 1988
  • A tunable reduced-order distillation model is proposed for real-time applications. To develop the model, a binary distillation column with MaCabe-Thiele assumptions was considered first and then the governing equations for the column were reduced to a simplified vector differential equations using the collocation method combined with cubic spline interpolation function. The final reduced-order model has four tuning parameters, relative volatilities and liquid holdups for rectifying and stripping sections, respectively. To assess the applicability of the developed model,the real-time adjustment of the model was tried by recursively updating the tuning parameters using the BKF algorithm. As a result, it was found that the reduced-model follows the simulated distillation process very closely as the parameters are improved.

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A Research on the Development of Evaluation Indicators for Academic Libraries (대학도서관 평가 지표의 개발에 관한 연구)

  • Kwack, Dong-Chul;Yoon, Cheong-Ok
    • Journal of the Korean Society for Library and Information Science
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    • v.45 no.2
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    • pp.309-324
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    • 2011
  • The purpose of this study is to develop evaluation indicators for academic libraries in Korea. The evaluation model developed in this research consists of three elements:(1) Confirmation of evaluation methods, procedures and criteria,(2) Development of qualitative and quantitative evaluation indicators, and(3) Assessment of the applicability and feasibility of those indicators. Evaluation indicators were developed to measure a basic state, a common use of library resources, specialized services, and user satisfaction for academic libraries. To test the feasibility and applicability of those evaluation indicators, a pilot assessment of academic libraries was conducted in 2010.

Applicability Analysis of Water Provisioning Services Quantification Models of Forest Ecosystem (산림생태계 수자원 공급서비스 계량화 모형의 국내적용성 분석)

  • Choi, Hyun-Ah;Lee, Woo-Kyun;Song, Cholho;Lee, Jong Yeol;Jeon, Seong Woo;Kim, Joon Sun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.17 no.4
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    • pp.1-15
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    • 2014
  • Forest ecosystems generate variety of important goods and services for human well-being. As a growing concern of climate change and water shortage, it is necessary to quantify, model and map water balance in forest. In this study, we have analyzed 11 overseas forest water supply models (AIM, ATEAM, CENTURY, (E)SWAT, GUMBO, InVEST, PLM, SAVANNA, WaSSI, WaterGAP, WBM) and compared their scale, input and out data, availability of the models and analyzed the applicability of the models to Korea. As a result, InVEST and WaterGAP model appeared to be applicable for quantifying water provisioning services in Korea. A systematic approach for applying to evaluate water balance in forest was suggested based on our quantification approach.