• Title/Summary/Keyword: Performance Modelling

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Analysis of Distribution Structure and Its Improvement Plan for e-Learning Business (이러닝산업 유통구조 분석 및 개선방안 연구)

  • Han, Tae In
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.83-94
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    • 2013
  • The e-Learning is one of best ways to generate the substitution effect for classroom learning, and robust and rational distribution structure for e-Learning industry is the key issue for successful educational performance of e-Learning, however the recent e-Learning market has a distribution status quite different from rational structure. This paper focuses on issues of e-Learning distribution status and alternatives for policy making. In order to make this study successful, we discuss about concepts and scopes of e-Learning distribution and various types of distribution structure by business models. We conducted an interview survey for business individual experts for distribution modelling. Based on the result of the survey, this paper describes issues of distribution structure and suggests alternatives for policy making in the Korea e-Learning market.

Using High Resolution Ecological Niche Models to Assess the Conservation Status of Dipterocarpus lamellatus and Dipterocarpus ochraceus in Sabah, Malaysia

  • Maycock, Colin R.;Khoo, Eyen;Kettle, Chris J.;Pereira, Joan T.;Sugau, John B.;Nilus, Reuben;Jumian, Jeisin;Burslem, David F.R.P.
    • Journal of Forest and Environmental Science
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    • v.28 no.3
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    • pp.158-169
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    • 2012
  • Sabah has experienced a rapid decline in the extent of forest cover. The precise impact of habitat loss on the conservation status of the plants of Sabah is uncertain. In this study we use the niche modelling algorithm MAXENT to construct preliminary, revised and final ecological niche models for Dipterocarpus lamellatus and Dipterocarpus ochraceus and combined these models with data on current land-use to derive conservation assessments for each species. Preliminary models were based on herbarium data alone. Ground surveys were conducted to evaluate the performance of these preliminary models, and a revised niche model was generated from the combined herbarium and ground survey data. The final model was obtained by constraining the predictions of the revised models by filters. The range overlap between the preliminary and revised models was 0.47 for D. lamellatus and 0.39 for D. ochraceus, suggesting poor agreement between them. There was substantial variation in estimates of habitat loss for D. ochraceus, among the preliminary, revised and constrained models, and this has the potential to lead to incorrect threat assessments. From these estimates of habitat loss, the historic distribution and estimates of population size we determine that both species should be classified as Critically Endangered under IUCN Red List guidelines. Our results suggest that ground-truthing of ecological niche models is essential, especially if the models are being used for conservation decision making.

Analysis of corrugated steel web beam bridges using spatial grid modelling

  • Xu, Dong;Ni, Yingsheng;Zhao, Yu
    • Steel and Composite Structures
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    • v.18 no.4
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    • pp.853-871
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    • 2015
  • Up to now, Japan has more than 200 corrugated steel web composite beam bridges which are under construction and have been constructed, and China has more than 30 corrugated steel web composite beam bridges. The bridge type includes the simply supported beam, continuous beam, continuous rigid frame and cable stayed bridge etc. The section form has developed to the single box and multi-cell box girder from the original single box and single chamber. From the stress performance and cost saving, the span range of 50~150 m is the most competitive. At present, the design mostly adopts the computational analytical method combining the spatial bar system model, plane beam grillage model and solid model. However, the spatial bar system model is short of the refinement analysis on the space effect, such as the shear lag effect, effective distribution width problem, and eccentric load factor problem etc. Due to the similarity of the plane beam grillage method in the equivalence principle, it cannot accurately reflect the shearing stress distribution and local stress of the top and bottom plates of the box type composite beam. The solid model is very difficult to combine with the overall calculation. Moreover, the spatial grid model can achieve the refinement analysis, with the integrity of the analysis and the comprehensiveness of the stress checking calculation, and can make up the deficiency of the analytical method currently. Through the example verification of the solid model and spatial grid model, it can be seen that the calculation results for the stress and the displacement of two models are almost consistent, indicating the applicability and precision of the spatial grid model.

Estimation Modelling of Energy Consumption and Anti-greening Impacts in Large-Scale Wired Access Networks (대규모 유선 액세스 네트워크 환경에서 에너지 소모량과 안티그리닝 영향도 추정 모델링 기법)

  • Suh, Yuhwa;Kim, Kiyoung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.8
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    • pp.928-941
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    • 2016
  • Energy consumption of today's wired data networks is driven by access networks. Today, green networking has become a issue to reduce energy wastes and $CO_2$ emission by adding energy managing mechanism to wired data networks. However, energy consumption and environmental impacts of wired access networks are largely unknown. In addition, there is a lack of general and quantitative valuation basis of energy use of large-scale access networks and $CO_2$ emissions from them. This paper compared and analyzed limits of existing models estimating energy consumption of access networks and it proposed a model to estimate energy consumption of large-scale access networks by top-down approach. In addition, this work presented models that assess environmental(anti-greening) impacts of access networks using results from our models. The performance evaluation of the proposed models are achieved by comparing with previous models based on existing investigated materials and actual measured values in accordance with real cases.

Recurrent Neural Network Models for Prediction of the inside Temperature and Humidity in Greenhouse

  • Jung, Dae-Hyun;Kim, Hak-Jin;Park, Soo Hyun;Kim, Joon Yong
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.135-135
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    • 2017
  • Greenhouse have been developed to provide the plants with good environmental conditions for cultivation crop, two major factors of which are the inside air temperature and humidity. The inside temperature are influenced by the heating systems, ventilators and for systems among others, which in turn are geverned by some type of controller. Likewise, humidity environment is the result of complex mass exchanges between the inside air and the several elements of the greenhouse and the outside boundaries. Most of the existing models are based on the energy balance method and heat balance equation for modelling the heat and mass fluxes and generating dynamic elements. However, greenhouse are classified as complex system, and need to make a sophisticated modeling. Furthermore, there is a difficulty in using classical control methods for complex process system due to the process are non linear and multi-output(MIMO) systems. In order to predict the time evolution of conditions in certain greenhouse as a function, we present here to use of recurrent neural networks(RNN) which has been used to implement the direct dynamics of the inside temperature and inside humidity of greenhouse. For the training, we used algorithm of a backpropagation Through Time (BPTT). Because the environmental parameters are shared by all time steps in the network, the gradient at each output depends not only on the calculations of the current time step, but also the previous time steps. The training data was emulated to 13 input variables during March 1 to 7, and the model was tested with database file of March 8. The RMSE of results of the temperature modeling was $0.976^{\circ}C$, and the RMSE of humidity simulation was 4.11%, which will be given to prove the performance of RNN in prediction of the greenhouse environment.

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Anti-seismic Capacity Improvement Modelling of Bridge Pier by Nickel -chrome Alloy Bar (니켈-크롬 합금 강바를 이용한 교각부 내진성능향상 모델링에 관한 연구)

  • Jang, Il-young;song, Jae-ho;Song, Seok-min;Lee, Seung-young;Ryu, Jeong-su
    • Journal of Korean Society of societal Security
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    • v.2 no.2
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    • pp.63-68
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    • 2009
  • Seismic design of newly built bridges can be considered and carried out during construction process according to the revised road bridge design standard issued recently. While for the existing reinforced concrete bridge priers under service before new standard implements, their resistance capacity against lateral seismic loading is inferior. In this research, seismic reinforcing for existing bridge piers by nickel-chrome alloy bar has been analyzed. Based on the established model by MIDAS program, the behaviors of bridge piers including deformation and stress with and without nickel-chrome alloy reinforcing bars have been compared and discussed under lateral seismic loading. And the advantages of using nickel-chrome alloy bar as seismic reinforcement over other materials, such as good performance, good economy etc. have been demonstrated by comparison with other researches. Also the anti-seismic efficiency of nickel-chrome alloy reinforcing bars has been confirmed by MIDAS modeling analysis.

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Estimation and Performance Analysis of Risk Measures using Copula and Extreme Value Theory (코퓰러과 극단치이론을 이용한 위험척도의 추정 및 성과분석)

  • Yeo, Sung-Chil
    • The Korean Journal of Applied Statistics
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    • v.19 no.3
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    • pp.481-504
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    • 2006
  • VaR, a tail-related risk measure is now widely used as a tool for a measurement and a management of financial risks. For more accurate measurement of VaR, recently we are particularly concerned about the approach based on extreme value theory rather than the traditional method based on the assumption of normal distribution. However, many studies about the approaches using extreme value theory was done only for the univariate case. In this paper, we discuss portfolio risk measurements with modelling multivariate extreme value distributions by combining copulas and extreme value theory. We also discuss the estimation of ES together with VaR as portfolio risk measures. Finally, we investigate the relative superiority of EVT-copula approach than variance-covariance method through the back-testing of an empirical data.

Using the Loss parameter calculation method for the CPV system simulation (손실파라미터계산방법을 이용한 집광형태양광발전시스템 시뮬레이션)

  • Lee, Kang-Yeon;Jeong, Byeong-Ho;Kim, Ji-won
    • Journal of the Korea Convergence Society
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    • v.8 no.8
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    • pp.17-26
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    • 2017
  • CPV system is composed with CPV cells, modules, PCS(power conditioning system), solar tracker, system installation and balance of systems(BOS). Mention about modelling method which is applied for CPV system simulation and evaluation system analysis. This paper focuses on CPV system modeling and optimal design of the electric energy production analysis through the development of proposed optimal CPV system simulation. Calculated simulation results of the generalized CPV system in regard to loss parameter calculation method can make out optimal configuration of CPV system with high reliability and stability. The loss parameter calculation method establish a mathematical modeling for the purposed of simulation and utilization various data for economical analysis of the CPV system design.

Problems of Stator Flux Estimation in DTC of PMSM Drives

  • Kadjoudj, M.;Golea, N.;Benbouzid, M.E.H
    • Journal of Electrical Engineering and Technology
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    • v.2 no.4
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    • pp.468-477
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    • 2007
  • The DTC of voltage source inverter-fed PMSMs is based on hysteresis controllers of torque and flux. It has several advantages, namely, elimination of the mandatory rotor position sensor, less computation time, and rapid torque response. In addition, the stator resistance is the only parameter, which should be known, and no reference frame transformation is required. The DTC theory has achieved great success in the control of induction motors. However, for the control of PMSM drives proposed a few years ago, there are many basic theoretical problems that must be clarified. This paper describes an investigation into the effect of the zero voltage space vectors in the DTC system and points out that if using it rationally, not only can the DTC of the PMSM drive be driven successfully, but torque and flux ripples are reduced and overall performance of the system is improved. The implementation of DTC in PMSM drives is described and the switching tables specific for an interior PMSM are derived. The conventional eight voltage-vector switching table, which is namely used in the DTC of induction motors does not seem to regulate the torque and stator flux in a PMSM well when the motor operates at low speed. Modelling and simulation studies have both revealed that a six voltage-vector switching table is more appropriate for PMSM drives at low speed. In addition, the sources of difficulties, namely, the error in the detection of the initial rotor position, the variation of stator resistance, and the offsets in measurements are analysed and discussed.

Ultrasonic Transducer Design for the Axial Flaw Detection of Dissimilar Metal Weld (이종금속 용접부 축방향 결함 검출을 위한 초음파 탐촉자 설계)

  • Yoon, Byung-Sik;Kim, Yong-Sik;Yang, Seung-Han
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.5
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    • pp.536-542
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    • 2011
  • Dissimilar metal welds in nuclear power plant are known as very susceptible to PWSCC flaws, and periodically inspected by the qualified inspector and qualified procedure during in-service inspection period. According to field survey data, the majority of their DMWs are located on tapered nozzle or adjacent to a tapered component. These types of configurations restrict examination access and also limit examination volume coverage. Additionally, circumferential scan for axially oriented flaw is very difficult to detect located on tapered surface because the transducer can't receive flaw response from reflector for miss-orientation. To overcome this miss-orientation, it is necessary adapt skewed ultrasonic transducer accomodate tapered surface. The skewed refracted longitudinal ultrasonic transducer designed by modeling and manufactured from the modelling result for axial flaw detection. Experimental results showed that the skewed refracted longitudinal ultrasonic transducer get higher flaw response than non-skewed refracted longitudinal ultrasonic transducer.