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data model</title> <meta name="description" content="Search results for: dimensional data model"> <meta name="keywords" content="dimensional data model"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="dimensional data model"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 36604</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: dimensional data model</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36604</span> Monitoring Three-Dimensional Models of Tree and Forest by Using Digital Close-Range Photogrammetry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Y.%20Cicekli">S. Y. Cicekli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, tree-dimensional model of tree was created by using terrestrial close range photogrammetry. For this close range photos were taken. Photomodeler Pro 5 software was used for camera calibration and create three-dimensional model of trees. In first test, three-dimensional model of a tree was created, in the second test three-dimensional model of three trees were created. This study aim is creating three-dimensional model of trees and indicate the use of close-range photogrammetry in forestry. At the end of the study, three-dimensional model of tree and three trees were created. This study showed that usability of close-range photogrammetry for monitoring tree and forests three-dimensional model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=close-%20range%20photogrammetry" title="close- range photogrammetry">close- range photogrammetry</a>, <a href="https://publications.waset.org/abstracts/search?q=forest" title=" forest"> forest</a>, <a href="https://publications.waset.org/abstracts/search?q=tree" title=" tree"> tree</a>, <a href="https://publications.waset.org/abstracts/search?q=three-dimensional%20model" title=" three-dimensional model"> three-dimensional model</a> </p> <a href="https://publications.waset.org/abstracts/39825/monitoring-three-dimensional-models-of-tree-and-forest-by-using-digital-close-range-photogrammetry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39825.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">389</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36603</span> Using Confirmatory Factor Analysis to Test the Dimensional Structure of Tourism Service Quality</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20A.%20Elshaer">Ibrahim A. Elshaer</a>, <a href="https://publications.waset.org/abstracts/search?q=Alaa%20M.%20Shaker"> Alaa M. Shaker</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Several previous empirical studies have operationalized service quality as either a multidimensional or unidimensional construct. While few earlier studies investigated some practices of the assumed dimensional structure of service quality, no study has been found to have tested the construct’s dimensionality using confirmatory factor analysis (CFA). To gain a better insight into the dimensional structure of service quality construct, this paper tests its dimensionality using three CFA models (higher order factor model, oblique factor model, and one factor model) on a set of data collected from 390 British tourists visited Egypt. The results of the three tests models indicate that service quality construct is multidimensional. This result helps resolving the problems that might arise from the lack of clarity concerning the dimensional structure of service quality, as without testing the dimensional structure of a measure, researchers cannot assume that the significant correlation is a result of factors measuring the same construct. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=service%20quality" title="service quality">service quality</a>, <a href="https://publications.waset.org/abstracts/search?q=dimensionality" title=" dimensionality"> dimensionality</a>, <a href="https://publications.waset.org/abstracts/search?q=confirmatory%20factor%20analysis" title=" confirmatory factor analysis"> confirmatory factor analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Egypt" title=" Egypt"> Egypt</a> </p> <a href="https://publications.waset.org/abstracts/27672/using-confirmatory-factor-analysis-to-test-the-dimensional-structure-of-tourism-service-quality" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27672.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">591</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36602</span> Stochastic Richelieu River Flood Modeling and Comparison of Flood Propagation Models: WMS (1D) and SRH (2D)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maryam%20Safrai">Maryam Safrai</a>, <a href="https://publications.waset.org/abstracts/search?q=Tewfik%20Mahdi"> Tewfik Mahdi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article presents the stochastic modeling of the Richelieu River flood in Quebec, Canada, occurred in the spring of 2011. With the aid of the one-dimensional Watershed Modeling System (WMS (v.10.1) and HEC-RAS (v.4.1) as a flood simulator, the delineation of the probabilistic flooded areas was considered. Based on the Monte Carlo method, WMS (v.10.1) delineated the probabilistic flooded areas with corresponding occurrence percentages. Furthermore, results of this one-dimensional model were compared with the results of two-dimensional model (SRH-2D) for the evaluation of efficiency and precision of each applied model. Based on this comparison, computational process in two-dimensional model is longer and more complicated versus brief one-dimensional one. Although, two-dimensional models are more accurate than one-dimensional method, but according to existing modellers, delineation of probabilistic flooded areas based on Monte Carlo method is achievable via one-dimensional modeler. The applied software in this case study greatly responded to verify the research objectives. As a result, flood risk maps of the Richelieu River with the two applied models (1d, 2d) could elucidate the flood risk factors in hydrological, hydraulic, and managerial terms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flood%20modeling" title="flood modeling">flood modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=HEC-RAS" title=" HEC-RAS"> HEC-RAS</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20comparison" title=" model comparison"> model comparison</a>, <a href="https://publications.waset.org/abstracts/search?q=Monte%20Carlo%20simulation" title=" Monte Carlo simulation"> Monte Carlo simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=probabilistic%20flooded%20area" title=" probabilistic flooded area"> probabilistic flooded area</a>, <a href="https://publications.waset.org/abstracts/search?q=SRH-2D" title=" SRH-2D"> SRH-2D</a>, <a href="https://publications.waset.org/abstracts/search?q=WMS" title=" WMS"> WMS</a> </p> <a href="https://publications.waset.org/abstracts/107620/stochastic-richelieu-river-flood-modeling-and-comparison-of-flood-propagation-models-wms-1d-and-srh-2d" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107620.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36601</span> Generic Data Warehousing for Consumer Electronics Retail Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Habte">S. Habte</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Ouazzane"> K. Ouazzane</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Patel"> P. Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Patel"> S. Patel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The dynamic and highly competitive nature of the consumer electronics retail industry means that businesses in this industry are experiencing different decision making challenges in relation to pricing, inventory control, consumer satisfaction and product offerings. To overcome the challenges facing retailers and create opportunities, we propose a generic data warehousing solution which can be applied to a wide range of consumer electronics retailers with a minimum configuration. The solution includes a dimensional data model, a template SQL script, a high level architectural descriptions, ETL tool developed using C#, a set of APIs, and data access tools. It has been successfully applied by ASK Outlets Ltd UK resulting in improved productivity and enhanced sales growth. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=consumer%20electronics" title="consumer electronics">consumer electronics</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20warehousing" title=" data warehousing"> data warehousing</a>, <a href="https://publications.waset.org/abstracts/search?q=dimensional%20data%20model" title=" dimensional data model"> dimensional data model</a>, <a href="https://publications.waset.org/abstracts/search?q=generic" title=" generic"> generic</a>, <a href="https://publications.waset.org/abstracts/search?q=retail%20industry" title=" retail industry"> retail industry</a> </p> <a href="https://publications.waset.org/abstracts/65808/generic-data-warehousing-for-consumer-electronics-retail-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65808.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">412</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36600</span> An Investigation of a Three-Dimensional Constitutive Model of Gas Diffusion Layers in Polymer Electrolyte Membrane Fuel Cells</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yanqin%20Chen">Yanqin Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Chao%20Jiang"> Chao Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chongdu%20Cho"> Chongdu Cho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research presents the three-dimensional mechanical characteristics of a commercial gas diffusion layer by experiment and simulation results. Although the mechanical performance of gas diffusion layers has attracted much attention, its reliability and accuracy are still a major challenge. With the help of simulation analysis methods, it is beneficial to the gas diffusion layer’s extensive commercial development and the overall stress analysis of proton electrolyte membrane fuel cells during its pre-production design period. Therefore, in this paper, a three-dimensional constitutive model of a commercial gas diffusion layer, including its material stiffness matrix parameters, is developed and coded, in the user-defined material model of a commercial finite element method software for simulation. Then, the model is validated by comparing experimental results as well as simulation outcomes. As a result, both the experimental data and simulation results show a good agreement with each other, with high accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gas%20diffusion%20layer" title="gas diffusion layer">gas diffusion layer</a>, <a href="https://publications.waset.org/abstracts/search?q=proton%20electrolyte%20membrane%20fuel%20cell" title=" proton electrolyte membrane fuel cell"> proton electrolyte membrane fuel cell</a>, <a href="https://publications.waset.org/abstracts/search?q=stiffness%20matrix" title=" stiffness matrix"> stiffness matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=three-dimensional%20mechanical%20characteristics" title=" three-dimensional mechanical characteristics"> three-dimensional mechanical characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=user-defined%20material%20model" title=" user-defined material model"> user-defined material model</a> </p> <a href="https://publications.waset.org/abstracts/103011/an-investigation-of-a-three-dimensional-constitutive-model-of-gas-diffusion-layers-in-polymer-electrolyte-membrane-fuel-cells" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103011.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36599</span> Control-Oriented Enhanced Zero-Dimensional Two-Zone Combustion Modelling of Internal Combustion Engines </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Razieh%20Arian">Razieh Arian</a>, <a href="https://publications.waset.org/abstracts/search?q=Hadi%20Adibi-Asl"> Hadi Adibi-Asl</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates an efficient combustion modeling for cycle simulation of internal combustion engine (ICE) studies. The term “efficient model” means that the models must generate desired simulation results while having fast simulation time. In other words, the efficient model is defined based on the application of the model. The objective of this study is to develop math-based models for control applications or shortly control-oriented models. This study compares different modeling approaches used to model the ICEs such as mean-value models, zero dimensional, quasi-dimensional, and multi-dimensional models for control applications. Mean-value models have been widely used for model-based control applications, but recently by developing advanced simulation tools (e.g. Maple/MapleSim) the higher order models (more complex) could be considered as control-oriented models. This paper presents the enhanced zero-dimensional cycle-by-cycle modeling and simulation of a spark ignition engine with a two-zone combustion model. The simulation results are cross-validated against the simulation results from GT-Power package and show a good agreement in terms of trends and values. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Two-zone%20combustion" title="Two-zone combustion">Two-zone combustion</a>, <a href="https://publications.waset.org/abstracts/search?q=control-oriented%20model" title=" control-oriented model"> control-oriented model</a>, <a href="https://publications.waset.org/abstracts/search?q=wiebe%20function" title=" wiebe function"> wiebe function</a>, <a href="https://publications.waset.org/abstracts/search?q=internal%20combustion%20engine" title=" internal combustion engine"> internal combustion engine</a> </p> <a href="https://publications.waset.org/abstracts/59939/control-oriented-enhanced-zero-dimensional-two-zone-combustion-modelling-of-internal-combustion-engines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59939.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">341</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36598</span> A Comparative Study on the Dimensional Error of 3D CAD Model and SLS RP Model for Reconstruction of Cranial Defect</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Siva%20Rama%20Krishna">L. Siva Rama Krishna</a>, <a href="https://publications.waset.org/abstracts/search?q=Sriram%20Venkatesh"> Sriram Venkatesh</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Sastish%20Kumar"> M. Sastish Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Uma%20Maheswara%20Chary"> M. Uma Maheswara Chary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rapid Prototyping (RP) is a technology that produces models and prototype parts from 3D CAD model data, CT/MRI scan data, and model data created from 3D object digitizing systems. There are several RP process like Stereolithography (SLA), Solid Ground Curing (SGC), Selective Laser Sintering (SLS), Fused Deposition Modelling (FDM), 3D Printing (3DP) among them SLS and FDM RP processes are used to fabricate pattern of custom cranial implant. RP technology is useful in engineering and biomedical application. This is helpful in engineering for product design, tooling and manufacture etc. RP biomedical applications are design and development of medical devices, instruments, prosthetics and implantation; it is also helpful in planning complex surgical operation. The traditional approach limits the full appreciation of various bony structure movements and therefore the custom implants produced are difficult to measure the anatomy of parts and analyse the changes in facial appearances accurately. Cranioplasty surgery is a surgical correction of a defect in cranial bone by implanting a metal or plastic replacement to restore the missing part. This paper aims to do a comparative study on the dimensional error of CAD and SLS RP Models for reconstruction of cranial defect by comparing the virtual CAD with the physical RP model of a cranial defect. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rapid%20prototyping" title="rapid prototyping">rapid prototyping</a>, <a href="https://publications.waset.org/abstracts/search?q=selective%20laser%20sintering" title=" selective laser sintering"> selective laser sintering</a>, <a href="https://publications.waset.org/abstracts/search?q=cranial%20defect" title=" cranial defect"> cranial defect</a>, <a href="https://publications.waset.org/abstracts/search?q=dimensional%20error" title=" dimensional error"> dimensional error</a> </p> <a href="https://publications.waset.org/abstracts/3068/a-comparative-study-on-the-dimensional-error-of-3d-cad-model-and-sls-rp-model-for-reconstruction-of-cranial-defect" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3068.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">325</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36597</span> Modeling Depth Averaged Velocity and Boundary Shear Stress Distributions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ebissa%20Gadissa%20Kedir">Ebissa Gadissa Kedir</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20S.%20P.%20Ojha"> C. S. P. Ojha</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20S.%20Hari%20Prasad"> K. S. Hari Prasad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, the depth-averaged velocity and boundary shear stress in non-prismatic compound channels with three different converging floodplain angles ranging from 1.43ᶱ to 7.59ᶱ have been studied. The analytical solutions were derived by considering acting forces on the channel beds and walls. In the present study, five key parameters, i.e., non-dimensional coefficient, secondary flow term, secondary flow coefficient, friction factor, and dimensionless eddy viscosity, were considered and discussed. An expression for non-dimensional coefficient and integration constants was derived based on the boundary conditions. The model was applied to different data sets of the present experiments and experiments from other sources, respectively, to examine and analyse the influence of floodplain converging angles on depth-averaged velocity and boundary shear stress distributions. The results show that the non-dimensional parameter plays important in portraying the variation of depth-averaged velocity and boundary shear stress distributions with different floodplain converging angles. Thus, the variation of the non-dimensional coefficient needs attention since it affects the secondary flow term and secondary flow coefficient in both the main channel and floodplains. The analysis shows that the depth-averaged velocities are sensitive to a shear stress-dependent model parameter non-dimensional coefficient, and the analytical solutions are well agreed with experimental data when five parameters are included. It is inferred that the developed model may facilitate the interest of others in complex flow modeling. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depth-average%20velocity" title="depth-average velocity">depth-average velocity</a>, <a href="https://publications.waset.org/abstracts/search?q=converging%20floodplain%20angles" title=" converging floodplain angles"> converging floodplain angles</a>, <a href="https://publications.waset.org/abstracts/search?q=non-dimensional%20coefficient" title=" non-dimensional coefficient"> non-dimensional coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=non-prismatic%20compound%20channels" title=" non-prismatic compound channels"> non-prismatic compound channels</a> </p> <a href="https://publications.waset.org/abstracts/161052/modeling-depth-averaged-velocity-and-boundary-shear-stress-distributions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161052.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">74</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36596</span> High-Resolution Flood Hazard Mapping Using Two-Dimensional Hydrodynamic Model Anuga: Case Study of Jakarta, Indonesia </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hengki%20Eko%20Putra">Hengki Eko Putra</a>, <a href="https://publications.waset.org/abstracts/search?q=Dennish%20Ari%20Putro"> Dennish Ari Putro</a>, <a href="https://publications.waset.org/abstracts/search?q=Tri%20Wahyu%20Hadi"> Tri Wahyu Hadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Edi%20Riawan"> Edi Riawan</a>, <a href="https://publications.waset.org/abstracts/search?q=Junnaedhi%20Dewa%20Gede"> Junnaedhi Dewa Gede</a>, <a href="https://publications.waset.org/abstracts/search?q=Aditia%20Rojali"> Aditia Rojali</a>, <a href="https://publications.waset.org/abstracts/search?q=Fariza%20Dian%20Prasetyo"> Fariza Dian Prasetyo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yudhistira%20Satya%20Pribadi"> Yudhistira Satya Pribadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Dita%20Fatria%20Andarini"> Dita Fatria Andarini</a>, <a href="https://publications.waset.org/abstracts/search?q=Mila%20Khaerunisa"> Mila Khaerunisa</a>, <a href="https://publications.waset.org/abstracts/search?q=Raditya%20Hanung%20Prakoswa"> Raditya Hanung Prakoswa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Catastrophe risk management can only be done if we are able to calculate the exposed risks. Jakarta is an important city economically, socially, and politically and in the same time exposed to severe floods. On the other hand, flood risk calculation is still very limited in the area. This study has calculated the risk of flooding for Jakarta using 2-Dimensional Model ANUGA. 2-Dimensional model ANUGA and 1-Dimensional Model HEC-RAS are used to calculate the risk of flooding from 13 major rivers in Jakarta. ANUGA can simulate physical and dynamical processes between the streamflow against river geometry and land cover to produce a 1-meter resolution inundation map. The value of streamflow as an input for the model obtained from hydrological analysis on rainfall data using hydrologic model HEC-HMS. The probabilistic streamflow derived from probabilistic rainfall using statistical distribution Log-Pearson III, Normal and Gumbel, through compatibility test using Chi Square and Smirnov-Kolmogorov. Flood event on 2007 is used as a comparison to evaluate the accuracy of model output. Property damage estimations were calculated based on flood depth for 1, 5, 10, 25, 50, and 100 years return period against housing value data from the BPS-Statistics Indonesia, Centre for Research and Development of Housing and Settlements, Ministry of Public Work Indonesia. The vulnerability factor was derived from flood insurance claim. Jakarta's flood loss estimation for the return period of 1, 5, 10, 25, 50, and 100 years, respectively are Rp 1.30 t; Rp 16.18 t; Rp 16.85 t; Rp 21.21 t; Rp 24.32 t; and Rp 24.67 t of the total value of building Rp 434.43 t. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=2D%20hydrodynamic%20model" title="2D hydrodynamic model">2D hydrodynamic model</a>, <a href="https://publications.waset.org/abstracts/search?q=ANUGA" title=" ANUGA"> ANUGA</a>, <a href="https://publications.waset.org/abstracts/search?q=flood" title=" flood"> flood</a>, <a href="https://publications.waset.org/abstracts/search?q=flood%20modeling" title=" flood modeling"> flood modeling</a> </p> <a href="https://publications.waset.org/abstracts/58115/high-resolution-flood-hazard-mapping-using-two-dimensional-hydrodynamic-model-anuga-case-study-of-jakarta-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58115.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">275</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36595</span> Combining Diffusion Maps and Diffusion Models for Enhanced Data Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meng%20Su">Meng Su</a> </p> <p class="card-text"><strong>Abstract:</strong></p> High-dimensional data analysis often presents challenges in capturing the complex, nonlinear relationships and manifold structures inherent to the data. This article presents a novel approach that leverages the strengths of two powerful techniques, Diffusion Maps and Diffusion Probabilistic Models (DPMs), to address these challenges. By integrating the dimensionality reduction capability of Diffusion Maps with the data modeling ability of DPMs, the proposed method aims to provide a comprehensive solution for analyzing and generating high-dimensional data. The Diffusion Map technique preserves the nonlinear relationships and manifold structure of the data by mapping it to a lower-dimensional space using the eigenvectors of the graph Laplacian matrix. Meanwhile, DPMs capture the dependencies within the data, enabling effective modeling and generation of new data points in the low-dimensional space. The generated data points can then be mapped back to the original high-dimensional space, ensuring consistency with the underlying manifold structure. Through a detailed example implementation, the article demonstrates the potential of the proposed hybrid approach to achieve more accurate and effective modeling and generation of complex, high-dimensional data. Furthermore, it discusses possible applications in various domains, such as image synthesis, time-series forecasting, and anomaly detection, and outlines future research directions for enhancing the scalability, performance, and integration with other machine learning techniques. By combining the strengths of Diffusion Maps and DPMs, this work paves the way for more advanced and robust data analysis methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diffusion%20maps" title="diffusion maps">diffusion maps</a>, <a href="https://publications.waset.org/abstracts/search?q=diffusion%20probabilistic%20models%20%28DPMs%29" title=" diffusion probabilistic models (DPMs)"> diffusion probabilistic models (DPMs)</a>, <a href="https://publications.waset.org/abstracts/search?q=manifold%20learning" title=" manifold learning"> manifold learning</a>, <a href="https://publications.waset.org/abstracts/search?q=high-dimensional%20data%20analysis" title=" high-dimensional data analysis"> high-dimensional data analysis</a> </p> <a href="https://publications.waset.org/abstracts/165159/combining-diffusion-maps-and-diffusion-models-for-enhanced-data-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165159.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">108</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36594</span> Testing the Change in Correlation Structure across Markets: High-Dimensional Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Malay%20%20Bhattacharyya">Malay Bhattacharyya</a>, <a href="https://publications.waset.org/abstracts/search?q=Saparya%20Suresh"> Saparya Suresh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Correlation Structure associated with a portfolio is subjected to vary across time. Studying the structural breaks in the time-dependent Correlation matrix associated with a collection had been a subject of interest for a better understanding of the market movements, portfolio selection, etc. The current paper proposes a methodology for testing the change in the time-dependent correlation structure of a portfolio in the high dimensional data using the techniques of generalized inverse, singular valued decomposition and multivariate distribution theory which has not been addressed so far. The asymptotic properties of the proposed test are derived. Also, the performance and the validity of the method is tested on a real data set. The proposed test performs well for detecting the change in the dependence of global markets in the context of high dimensional data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=correlation%20structure" title="correlation structure">correlation structure</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20dimensional%20data" title=" high dimensional data"> high dimensional data</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate%20distribution%20theory" title=" multivariate distribution theory"> multivariate distribution theory</a>, <a href="https://publications.waset.org/abstracts/search?q=singular%20valued%20decomposition" title=" singular valued decomposition"> singular valued decomposition</a> </p> <a href="https://publications.waset.org/abstracts/115771/testing-the-change-in-correlation-structure-across-markets-high-dimensional-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115771.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">125</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36593</span> Estimation of Structural Parameters in Time Domain Using One Dimensional Piezo Zirconium Titanium Patch Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Jinesh">N. Jinesh</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Shankar"> K. Shankar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article presents a method of using the one dimensional piezo-electric patch on beam model for structural identification. A hybrid element constituted of one dimensional beam element and a PZT sensor is used with reduced material properties. This model is convenient and simple for identification of beams. Accuracy of this element is first verified against a corresponding 3D finite element model (FEM). The structural identification is carried out as an inverse problem whereby parameters are identified by minimizing the deviation between the predicted and measured voltage response of the patch, when subjected to excitation. A non-classical optimization algorithm Particle Swarm Optimization is used to minimize this objective function. The signals are polluted with 5% Gaussian noise to simulate experimental noise. The proposed method is applied on beam structure and identified parameters are stiffness and damping. The model is also validated experimentally. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverse%20problem" title="inverse problem">inverse problem</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=PZT%20patches" title=" PZT patches"> PZT patches</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20identification" title=" structural identification"> structural identification</a> </p> <a href="https://publications.waset.org/abstracts/54524/estimation-of-structural-parameters-in-time-domain-using-one-dimensional-piezo-zirconium-titanium-patch-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54524.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">309</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36592</span> Three Dimensional Analysis of Cubesat Thermal Vacuum Test </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maged%20Assem%20Soliman%20Mossallam">Maged Assem Soliman Mossallam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Thermal vacuum testing target is to qualify the space system and ensure its operability under harsh space environment. The functionality of the cubesat was checked at extreme orbit conditions. Test was performed for operational and nonoperational modes. Analysis is done to simulate the cubesat thermal cycling inside thermal vacuum chamber. Comsol Multiphysics finite element is used to solve three dimensional problem for the cubesat inside TVAC. Three dimensional CAD model is done using Autodesk Inventor program. The boundary conditions were applied from the actual shroud temperature. The input heat load variation with time is considered to solve the transient three dimensional problem. Results show that the simulated temperature profiles are within an acceptable range from the real testing data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cubesat" title="cubesat">cubesat</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20vacuum%20test" title=" thermal vacuum test"> thermal vacuum test</a>, <a href="https://publications.waset.org/abstracts/search?q=testing%20simulation" title=" testing simulation"> testing simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20analysis" title=" finite element analysis "> finite element analysis </a> </p> <a href="https://publications.waset.org/abstracts/128852/three-dimensional-analysis-of-cubesat-thermal-vacuum-test" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128852.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36591</span> The Use of Hec Ras One-Dimensional Model and Geophysics for the Determination of Flood Zones</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ayoub%20El%20Bourtali">Ayoub El Bourtali</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdessamed%20Najine"> Abdessamed Najine</a>, <a href="https://publications.waset.org/abstracts/search?q=Amrou%20Moussa%20Benmoussa"> Amrou Moussa Benmoussa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is becoming more and more necessary to manage flood risk, and it must include all stakeholders and all possible means available. The goal of this work is to map the vulnerability of the Oued Derna-region Tagzirt flood zone in the semi-arid region. This is about implementing predictive models and flood control. This allows for the development of flood risk prevention plans. In this study, A resistivity survey was conducted over the area to locate and evaluate soil characteristics in order to calculate discharges and prevent flooding for the study area. The development of a one-dimensional (1D) hydrodynamic model of the Derna River was carried out in HEC-RAS 5.0.4 using a combination of survey data and spatially extracted cross-sections and recorded river flows. The study area was hit by several extreme floods, causing a lot of property loss and loss of life. This research focuses on the most recent flood events, based on the collected data, the water level, river flow and river cross-section were analyzed. A set of flood levels were obtained as the outputs of the hydraulic model and the accuracy of the simulated flood levels and velocity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=derna%20river" title="derna river">derna river</a>, <a href="https://publications.waset.org/abstracts/search?q=1D%20hydrodynamic%20model" title=" 1D hydrodynamic model"> 1D hydrodynamic model</a>, <a href="https://publications.waset.org/abstracts/search?q=flood%20modelling" title=" flood modelling"> flood modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=HEC-RAS%205.0.4" title=" HEC-RAS 5.0.4"> HEC-RAS 5.0.4</a> </p> <a href="https://publications.waset.org/abstracts/139595/the-use-of-hec-ras-one-dimensional-model-and-geophysics-for-the-determination-of-flood-zones" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139595.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">312</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36590</span> An Efficient Approach for Speed up Non-Negative Matrix Factorization for High Dimensional Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bharat%20Singh%20Om%20Prakash%20Vyas">Bharat Singh Om Prakash Vyas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Now a day’s applications deal with High Dimensional Data have tremendously used in the popular areas. To tackle with such kind of data various approached has been developed by researchers in the last few decades. To tackle with such kind of data various approached has been developed by researchers in the last few decades. One of the problems with the NMF approaches, its randomized valued could not provide absolute optimization in limited iteration, but having local optimization. Due to this, we have proposed a new approach that considers the initial values of the decomposition to tackle the issues of computationally expensive. We have devised an algorithm for initializing the values of the decomposed matrix based on the PSO (Particle Swarm Optimization). Through the experimental result, we will show the proposed method converse very fast in comparison to other row rank approximation like simple NMF multiplicative, and ACLS techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ALS" title="ALS">ALS</a>, <a href="https://publications.waset.org/abstracts/search?q=NMF" title=" NMF"> NMF</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20dimensional%20data" title=" high dimensional data"> high dimensional data</a>, <a href="https://publications.waset.org/abstracts/search?q=RMSE" title=" RMSE"> RMSE</a> </p> <a href="https://publications.waset.org/abstracts/36278/an-efficient-approach-for-speed-up-non-negative-matrix-factorization-for-high-dimensional-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36278.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">342</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36589</span> Representation Data without Lost Compression Properties in Time Series: A Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nabilah%20Filzah%20Mohd%20Radzuan">Nabilah Filzah Mohd Radzuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Zalinda%20Othman"> Zalinda Othman</a>, <a href="https://publications.waset.org/abstracts/search?q=Azuraliza%20Abu%20Bakar"> Azuraliza Abu Bakar</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Razak%20Hamdan"> Abdul Razak Hamdan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Uncertain data is believed to be an important issue in building up a prediction model. The main objective in the time series uncertainty analysis is to formulate uncertain data in order to gain knowledge and fit low dimensional model prior to a prediction task. This paper discusses the performance of a number of techniques in dealing with uncertain data specifically those which solve uncertain data condition by minimizing the loss of compression properties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=compression%20properties" title="compression properties">compression properties</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertainty" title=" uncertainty"> uncertainty</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertain%20time%20series" title=" uncertain time series"> uncertain time series</a>, <a href="https://publications.waset.org/abstracts/search?q=mining%20technique" title=" mining technique"> mining technique</a>, <a href="https://publications.waset.org/abstracts/search?q=weather%20prediction" title=" weather prediction"> weather prediction</a> </p> <a href="https://publications.waset.org/abstracts/1419/representation-data-without-lost-compression-properties-in-time-series-a-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1419.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">428</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36588</span> A Non-Linear Eddy Viscosity Model for Turbulent Natural Convection in Geophysical Flows</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20P.%20Panda">J. P. Panda</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Sasmal"> K. Sasmal</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20V.%20Warrior"> H. V. Warrior</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Eddy viscosity models in turbulence modeling can be mainly classified as linear and nonlinear models. Linear formulations are simple and require less computational resources but have the disadvantage that they cannot predict actual flow pattern in complex geophysical flows where streamline curvature and swirling motion are predominant. A constitutive equation of Reynolds stress anisotropy is adopted for the formulation of eddy viscosity including all the possible higher order terms quadratic in the mean velocity gradients, and a simplified model is developed for actual oceanic flows where only the vertical velocity gradients are important. The new model is incorporated into the one dimensional General Ocean Turbulence Model (GOTM). Two realistic oceanic test cases (OWS Papa and FLEX' 76) have been investigated. The new model predictions match well with the observational data and are better in comparison to the predictions of the two equation k-epsilon model. The proposed model can be easily incorporated in the three dimensional Princeton Ocean Model (POM) to simulate a wide range of oceanic processes. Practically, this model can be implemented in the coastal regions where trasverse shear induces higher vorticity, and for prediction of flow in estuaries and lakes, where depth is comparatively less. The model predictions of marine turbulence and other related data (e.g. Sea surface temperature, Surface heat flux and vertical temperature profile) can be utilized in short term ocean and climate forecasting and warning systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eddy%20viscosity" title="Eddy viscosity">Eddy viscosity</a>, <a href="https://publications.waset.org/abstracts/search?q=turbulence%20modeling" title=" turbulence modeling"> turbulence modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=GOTM" title=" GOTM"> GOTM</a>, <a href="https://publications.waset.org/abstracts/search?q=CFD" title=" CFD"> CFD</a> </p> <a href="https://publications.waset.org/abstracts/84098/a-non-linear-eddy-viscosity-model-for-turbulent-natural-convection-in-geophysical-flows" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84098.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">202</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36587</span> Performance Evaluation of the Classic seq2seq Model versus a Proposed Semi-supervised Long Short-Term Memory Autoencoder for Time Series Data Forecasting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aswathi%20Thrivikraman">Aswathi Thrivikraman</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Advaith"> S. Advaith</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study is aimed at designing encoders for deciphering intricacies in time series data by redescribing the dynamics operating on a lower-dimensional manifold. A semi-supervised LSTM autoencoder is devised and investigated to see if the latent representation of the time series data can better forecast the data. End-to-end training of the LSTM autoencoder, together with another LSTM network that is connected to the latent space, forces the hidden states of the encoder to represent the most meaningful latent variables relevant for forecasting. Furthermore, the study compares the predictions with those of a traditional seq2seq model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LSTM" title="LSTM">LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=autoencoder" title=" autoencoder"> autoencoder</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=seq2seq%20model" title=" seq2seq model"> seq2seq model</a> </p> <a href="https://publications.waset.org/abstracts/157449/performance-evaluation-of-the-classic-seq2seq-model-versus-a-proposed-semi-supervised-long-short-term-memory-autoencoder-for-time-series-data-forecasting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157449.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">155</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36586</span> Three Dimensional Dynamic Analysis of Water Storage Tanks Considering FSI Using FEM</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Mahdi%20S.%20Kolbadi">S. Mahdi S. Kolbadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ramezan%20Ali%20Alvand"> Ramezan Ali Alvand</a>, <a href="https://publications.waset.org/abstracts/search?q=Afrasiab%20Mirzaei"> Afrasiab Mirzaei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, to investigate and analyze the seismic behavior of concrete in open rectangular water storage tanks in two-dimensional and three-dimensional spaces, the Finite Element Method has been used. Through this method, dynamic responses can be investigated together in fluid storages system. Soil behavior has been simulated using tanks boundary conditions in linear form. In this research, in addition to flexibility of wall, the effects of fluid-structure interaction on seismic response of tanks have been investigated to account for the effects of flexible foundation in linear boundary conditions form, and a dynamic response of rectangular tanks in two-dimensional and three-dimensional spaces using finite element method has been provided. The boundary conditions of both rigid and flexible walls in two-dimensional finite element method have been considered to investigate the effect of wall flexibility on seismic response of fluid and storage system. Furthermore, three-dimensional model of fluid-structure interaction issue together with wall flexibility has been analyzed under the three components of earthquake. The obtained results show that two-dimensional model is also accurately near to the results of three-dimension as well as flexibility of foundation leads to absorb received energy and relative reduction of responses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20behavior" title="dynamic behavior">dynamic behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=flexible%20wall" title=" flexible wall"> flexible wall</a>, <a href="https://publications.waset.org/abstracts/search?q=fluid-structure%20interaction" title=" fluid-structure interaction"> fluid-structure interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20storage%20tank" title=" water storage tank"> water storage tank</a> </p> <a href="https://publications.waset.org/abstracts/83646/three-dimensional-dynamic-analysis-of-water-storage-tanks-considering-fsi-using-fem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83646.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">185</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36585</span> Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng%20Zeng">Cheng Zeng</a>, <a href="https://publications.waset.org/abstracts/search?q=George%20Michailidis"> George Michailidis</a>, <a href="https://publications.waset.org/abstracts/search?q=Hitoshi%20Iyatomi"> Hitoshi Iyatomi</a>, <a href="https://publications.waset.org/abstracts/search?q=Leo%20L.%20Duan"> Leo L. Duan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The conditional density characterizes the distribution of a response variable y given other predictor x and plays a key role in many statistical tasks, including classification and outlier detection. Although there has been abundant work on the problem of Conditional Density Estimation (CDE) for a low-dimensional response in the presence of a high-dimensional predictor, little work has been done for a high-dimensional response such as images. The promising performance of normalizing flow (NF) neural networks in unconditional density estimation acts as a motivating starting point. In this work, the authors extend NF neural networks when external x is present. Specifically, they use the NF to parameterize a one-to-one transform between a high-dimensional y and a latent z that comprises two components [zₚ, zₙ]. The zₚ component is a low-dimensional subvector obtained from the posterior distribution of an elementary predictive model for x, such as logistic/linear regression. The zₙ component is a high-dimensional independent Gaussian vector, which explains the variations in y not or less related to x. Unlike existing CDE methods, the proposed approach coined Augmented Posterior CDE (AP-CDE) only requires a simple modification of the common normalizing flow framework while significantly improving the interpretation of the latent component since zₚ represents a supervised dimension reduction. In image analytics applications, AP-CDE shows good separation of 𝑥-related variations due to factors such as lighting condition and subject id from the other random variations. Further, the experiments show that an unconditional NF neural network based on an unsupervised model of z, such as a Gaussian mixture, fails to generate interpretable results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conditional%20density%20estimation" title="conditional density estimation">conditional density estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20generation" title=" image generation"> image generation</a>, <a href="https://publications.waset.org/abstracts/search?q=normalizing%20flow" title=" normalizing flow"> normalizing flow</a>, <a href="https://publications.waset.org/abstracts/search?q=supervised%20dimension%20reduction" title=" supervised dimension reduction"> supervised dimension reduction</a> </p> <a href="https://publications.waset.org/abstracts/171067/normalizing-flow-to-augmented-posterior-conditional-density-estimation-with-interpretable-dimension-reduction-for-high-dimensional-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171067.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">96</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36584</span> Research and Application of the Three-Dimensional Visualization Geological Modeling of Mine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bin%20Wang">Bin Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong%20Xu"> Yong Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Honggang%20Qu"> Honggang Qu</a>, <a href="https://publications.waset.org/abstracts/search?q=Rongmei%20Liu"> Rongmei Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhenji%20Gao"> Zhenji Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today's mining industry is advancing gradually toward digital and visual direction. The three dimensional visualization geological modeling of mine is the digital characterization of mineral deposit, and is one of the key technology of digital mine. The three-dimensional geological modeling is a technology that combines the geological spatial information management, geological interpretation, geological spatial analysis and prediction, geostatistical analysis, entity content analysis and graphic visualization in three-dimensional environment with computer technology, and is used in geological analysis. In this paper, the three-dimensional geological modeling of an iron mine through the use of Surpac is constructed, and the weight difference of the estimation methods between distance power inverse ratio method and ordinary kriging is studied, and the ore body volume and reserves are simulated and calculated by using these two methods. Compared with the actual mine reserves, its result is relatively accurate, so it provided scientific bases for mine resource assessment, reserve calculation, mining design and so on. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=three-dimensional%20geological%20modeling" title="three-dimensional geological modeling">three-dimensional geological modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=geological%20database" title=" geological database"> geological database</a>, <a href="https://publications.waset.org/abstracts/search?q=geostatistics" title=" geostatistics"> geostatistics</a>, <a href="https://publications.waset.org/abstracts/search?q=block%20model" title=" block model"> block model</a> </p> <a href="https://publications.waset.org/abstracts/167346/research-and-application-of-the-three-dimensional-visualization-geological-modeling-of-mine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167346.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36583</span> Evolution of Predator-prey Body-size Ratio: Spatial Dimensions of Foraging Space</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xin%20Chen">Xin Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It has been widely observed that marine food webs have significantly larger predator–prey body-size ratios compared with their terrestrial counterparts. A number of hypotheses have been proposed to account for such difference on the basis of primary productivity, trophic structure, biophysics, bioenergetics, habitat features, energy efficiency, etc. In this study, an alternative explanation is suggested based on the difference in the spatial dimensions of foraging arenas: terrestrial animals primarily forage in two dimensional arenas, while marine animals mostly forage in three dimensional arenas. Using 2-dimensional and 3-dimensional random walk simulations, it is shown that marine predators with 3-dimensional foraging would normally have a greater foraging efficiency than terrestrial predators with 2-dimensional foraging. Marine prey with 3-dimensional dispersion usually has greater swarms or aggregations than terrestrial prey with 2-dimensional dispersion, which again favours a greater predator foraging efficiency in marine animals. As an analytical tool, a Lotka-Volterra based adaptive dynamical model is developed with the predator-prey ratio embedded as an adaptive variable. The model predicts that high predator foraging efficiency and high prey conversion rate will dynamically lead to the evolution of a greater predator-prey ratio. Therefore, marine food webs with 3-dimensional foraging space, which generally have higher predator foraging efficiency, will evolve a greater predator-prey ratio than terrestrial food webs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=predator-prey" title="predator-prey">predator-prey</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20size" title=" body size"> body size</a>, <a href="https://publications.waset.org/abstracts/search?q=lotka-volterra" title=" lotka-volterra"> lotka-volterra</a>, <a href="https://publications.waset.org/abstracts/search?q=random%20walk" title=" random walk"> random walk</a>, <a href="https://publications.waset.org/abstracts/search?q=foraging%20efficiency" title=" foraging efficiency"> foraging efficiency</a> </p> <a href="https://publications.waset.org/abstracts/164156/evolution-of-predator-prey-body-size-ratio-spatial-dimensions-of-foraging-space" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164156.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">77</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36582</span> Research of the Three-Dimensional Visualization Geological Modeling of Mine Based on Surpac</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Honggang%20Qu">Honggang Qu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong%20Xu"> Yong Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Rongmei%20Liu"> Rongmei Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhenji%20Gao"> Zhenji Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Bin%20Wang"> Bin Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today's mining industry is advancing gradually toward digital and visual direction. The three-dimensional visualization geological modeling of mine is the digital characterization of mineral deposits and is one of the key technology of digital mining. Three-dimensional geological modeling is a technology that combines geological spatial information management, geological interpretation, geological spatial analysis and prediction, geostatistical analysis, entity content analysis and graphic visualization in a three-dimensional environment with computer technology and is used in geological analysis. In this paper, the three-dimensional geological modeling of an iron mine through the use of Surpac is constructed, and the weight difference of the estimation methods between the distance power inverse ratio method and ordinary kriging is studied, and the ore body volume and reserves are simulated and calculated by using these two methods. Compared with the actual mine reserves, its result is relatively accurate, so it provides scientific bases for mine resource assessment, reserve calculation, mining design and so on. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=three-dimensional%20geological%20modeling" title="three-dimensional geological modeling">three-dimensional geological modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=geological%20database" title=" geological database"> geological database</a>, <a href="https://publications.waset.org/abstracts/search?q=geostatistics" title=" geostatistics"> geostatistics</a>, <a href="https://publications.waset.org/abstracts/search?q=block%20model" title=" block model"> block model</a> </p> <a href="https://publications.waset.org/abstracts/167349/research-of-the-three-dimensional-visualization-geological-modeling-of-mine-based-on-surpac" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167349.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">77</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36581</span> Bi-Dimensional Spectral Basis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelhamid%20Zerroug">Abdelhamid Zerroug</a>, <a href="https://publications.waset.org/abstracts/search?q=Mlle%20Ismahene%20Sehili"> Mlle Ismahene Sehili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Spectral methods are usually applied to solve uni-dimensional boundary value problems. With the advantage of the creation of multidimensional basis, we propose a new spectral method for bi-dimensional problems. In this article, we start by creating bi-spectral basis by different ways, we developed also a new relations to determine the expressions of spectral coefficients in different partial derivatives expansions. Finally, we propose the principle of a new bi-spectral method for the bi-dimensional problems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=boundary%20value%20problems" title="boundary value problems">boundary value problems</a>, <a href="https://publications.waset.org/abstracts/search?q=bi-spectral%20methods" title=" bi-spectral methods"> bi-spectral methods</a>, <a href="https://publications.waset.org/abstracts/search?q=bi-dimensional%20Legendre%20basis" title=" bi-dimensional Legendre basis"> bi-dimensional Legendre basis</a>, <a href="https://publications.waset.org/abstracts/search?q=spectral%20method" title=" spectral method"> spectral method</a> </p> <a href="https://publications.waset.org/abstracts/38573/bi-dimensional-spectral-basis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38573.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">395</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36580</span> A t-SNE and UMAP Based Neural Network Image Classification Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shelby%20Simpson">Shelby Simpson</a>, <a href="https://publications.waset.org/abstracts/search?q=William%20Stanley"> William Stanley</a>, <a href="https://publications.waset.org/abstracts/search?q=Namir%20Naba"> Namir Naba</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaodi%20Wang"> Xiaodi Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Both t-SNE and UMAP are brand new state of art tools to predominantly preserve the local structure that is to group neighboring data points together, which indeed provides a very informative visualization of heterogeneity in our data. In this research, we develop a t-SNE and UMAP base neural network image classification algorithm to embed the original dataset to a corresponding low dimensional dataset as a preprocessing step, then use this embedded database as input to our specially designed neural network classifier for image classification. We use the fashion MNIST data set, which is a labeled data set of images of clothing objects in our experiments. t-SNE and UMAP are used for dimensionality reduction of the data set and thus produce low dimensional embeddings. Furthermore, we use the embeddings from t-SNE and UMAP to feed into two neural networks. The accuracy of the models from the two neural networks is then compared to a dense neural network that does not use embedding as an input to show which model can classify the images of clothing objects more accurately. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=t-SNE" title="t-SNE">t-SNE</a>, <a href="https://publications.waset.org/abstracts/search?q=UMAP" title=" UMAP"> UMAP</a>, <a href="https://publications.waset.org/abstracts/search?q=fashion%20MNIST" title=" fashion MNIST"> fashion MNIST</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a> </p> <a href="https://publications.waset.org/abstracts/137765/a-t-sne-and-umap-based-neural-network-image-classification-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137765.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">198</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36579</span> High-Fidelity 1D Dynamic Model of a Hydraulic Servo Valve Using 3D Computational Fluid Dynamics and Electromagnetic Finite Element Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Henninger">D. Henninger</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Zopey"> A. Zopey</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Ihde"> T. Ihde</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Mehring"> C. Mehring</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The dynamic performance of a 4-way solenoid operated hydraulic spool valve has been analyzed by means of a one-dimensional modeling approach capturing flow, magnetic and fluid forces, valve inertia forces, fluid compressibility, and damping. Increased model accuracy was achieved by analyzing the detailed three-dimensional electromagnetic behavior of the solenoids and flow behavior through the spool valve body for a set of relevant operating conditions, thereby allowing the accurate mapping of flow and magnetic forces on the moving valve body, in lieu of representing the respective forces by lower-order models or by means of simplistic textbook correlations. The resulting high-fidelity one-dimensional model provided the basis for specific and timely design modification eliminating experimentally observed valve oscillations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20performance%20model" title="dynamic performance model">dynamic performance model</a>, <a href="https://publications.waset.org/abstracts/search?q=high-fidelity%20model" title=" high-fidelity model"> high-fidelity model</a>, <a href="https://publications.waset.org/abstracts/search?q=1D-3D%20decoupled%20analysis" title=" 1D-3D decoupled analysis"> 1D-3D decoupled analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=solenoid-operated%20hydraulic%20servo%20valve" title=" solenoid-operated hydraulic servo valve"> solenoid-operated hydraulic servo valve</a>, <a href="https://publications.waset.org/abstracts/search?q=CFD%20and%20electromagnetic%20FEA" title=" CFD and electromagnetic FEA"> CFD and electromagnetic FEA</a> </p> <a href="https://publications.waset.org/abstracts/73024/high-fidelity-1d-dynamic-model-of-a-hydraulic-servo-valve-using-3d-computational-fluid-dynamics-and-electromagnetic-finite-element-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73024.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">177</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36578</span> Experimental and Numerical Performance Analysis for Steam Jet Ejectors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdellah%20Hanafi">Abdellah Hanafi</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20M.%20Mostafa"> G. M. Mostafa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Mortada"> Mohamed Mortada</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Hamed"> Ahmed Hamed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The steam ejectors are the heart of most of the desalination systems that employ vacuum. The systems that employ low grade thermal energy sources like solar energy and geothermal energy use the ejector to drive the system instead of high grade electric energy. The jet-ejector is used to create vacuum employing the flow of steam or air and using the severe pressure drop at the outlet of the main nozzle. The present work involves developing a one dimensional mathematical model for designing jet-ejectors and transform it into computer code using Engineering Equation solver (EES) software. The model receives the required operating conditions at the inlets and outlet of the ejector as inputs and produces the corresponding dimensions required to reach these conditions. The one-dimensional model has been validated using an existed model working on Abu-Qir power station. A prototype has been designed according to the one-dimensional model and attached to a special test bench to be tested before using it in the solar desalination pilot plant. The tested ejector will be responsible for the startup evacuation of the system and adjusting the vacuum of the evaporating effects. The tested prototype has shown a good agreement with the results of the code. In addition a numerical analysis has been applied on one of the designed geometry to give an image of the pressure and velocity distribution inside the ejector from a side, and from other side, to show the difference in results between the two-dimensional ideal gas model and real prototype. The commercial edition of ANSYS Fluent v.14 software is used to solve the two-dimensional axisymmetric case. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=solar%20energy" title="solar energy">solar energy</a>, <a href="https://publications.waset.org/abstracts/search?q=jet%20ejector" title=" jet ejector"> jet ejector</a>, <a href="https://publications.waset.org/abstracts/search?q=vacuum" title=" vacuum"> vacuum</a>, <a href="https://publications.waset.org/abstracts/search?q=evaporating%20effects" title=" evaporating effects"> evaporating effects</a> </p> <a href="https://publications.waset.org/abstracts/25868/experimental-and-numerical-performance-analysis-for-steam-jet-ejectors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25868.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">621</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36577</span> Three-Dimensional Generalized Thermoelasticity with Variable Thermal Conductivity </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamdy%20M.%20Youssef">Hamdy M. Youssef</a>, <a href="https://publications.waset.org/abstracts/search?q=Mowffaq%20Oreijah"> Mowffaq Oreijah</a>, <a href="https://publications.waset.org/abstracts/search?q=Hunaydi%20S.%20Alsharif"> Hunaydi S. Alsharif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a three-dimensional model of the generalized thermoelasticity with one relaxation time and variable thermal conductivity has been constructed. The resulting non-dimensional governing equations together with the Laplace and double Fourier transforms techniques have been applied to a three-dimensional half-space subjected to thermal loading with rectangular pulse and traction free in the directions of the principle co-ordinates. The inverses of double Fourier transforms, and Laplace transforms have been obtained numerically. Numerical results for the temperature increment, the invariant stress, the invariant strain, and the displacement are represented graphically. The variability of the thermal conductivity has significant effects on the thermal and the mechanical waves. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=thermoelasticity" title="thermoelasticity">thermoelasticity</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20conductivity" title=" thermal conductivity"> thermal conductivity</a>, <a href="https://publications.waset.org/abstracts/search?q=Laplace%20transforms" title=" Laplace transforms"> Laplace transforms</a>, <a href="https://publications.waset.org/abstracts/search?q=Fourier%20transforms" title=" Fourier transforms"> Fourier transforms</a> </p> <a href="https://publications.waset.org/abstracts/103359/three-dimensional-generalized-thermoelasticity-with-variable-thermal-conductivity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103359.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">228</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36576</span> Physical Theory for One-Dimensional Correlated Electron Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nelson%20Nenuwe">Nelson Nenuwe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The behavior of interacting electrons in one dimension was studied by calculating correlation functions and critical exponents at zero and external magnetic fields for arbitrary band filling. The technique employed in this study is based on the conformal field theory (CFT). The charge and spin degrees of freedom are separated, and described by two independent conformal theories. A detailed comparison of the t-J model with the repulsive Hubbard model was then undertaken with emphasis on their Tomonaga-Luttinger (TL) liquid properties. Near half-filling the exponents of the t-J model take the values of the strong-correlation limit of the Hubbard model, and in the low-density limit the exponents are those of a non-interacting system. The critical exponents obtained in this study belong to the repulsive TL liquid (conducting phase) and attractive TL liquid (superconducting phase). The theoretical results from this study find applications in one-dimensional organic conductors (TTF-TCNQ), organic superconductors (Bechgaard salts) and carbon nanotubes (SWCNTs, DWCNTs and MWCNTs). For instance, the critical exponent at from this study is consistent with the experimental result from optical and photoemission evidence of TL liquid in one-dimensional metallic Bechgaard salt- (TMTSF)2PF6. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=critical%20exponents" title="critical exponents">critical exponents</a>, <a href="https://publications.waset.org/abstracts/search?q=conformal%20field%20theory" title=" conformal field theory"> conformal field theory</a>, <a href="https://publications.waset.org/abstracts/search?q=Hubbard%20model" title=" Hubbard model"> Hubbard model</a>, <a href="https://publications.waset.org/abstracts/search?q=t-J%20model" title=" t-J model "> t-J model </a> </p> <a href="https://publications.waset.org/abstracts/44309/physical-theory-for-one-dimensional-correlated-electron-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44309.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">343</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36575</span> Development of Digital Twin Concept to Detect Abnormal Changes in Structural Behaviour</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shady%20Adib">Shady Adib</a>, <a href="https://publications.waset.org/abstracts/search?q=Vladimir%20Vinogradov"> Vladimir Vinogradov</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Gosling"> Peter Gosling</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Digital Twin (DT) technology is a new technology that appeared in the early 21st century. The DT is defined as the digital representation of living and non-living physical assets. By connecting the physical and virtual assets, data are transmitted smoothly, allowing the virtual asset to fully represent the physical asset. Although there are lots of studies conducted on the DT concept, there is still limited information about the ability of the DT models for monitoring and detecting unexpected changes in structural behaviour in real time. This is due to the large computational efforts required for the analysis and an excessively large amount of data transferred from sensors. This paper aims to develop the DT concept to be able to detect the abnormal changes in structural behaviour in real time using advanced modelling techniques, deep learning algorithms, and data acquisition systems, taking into consideration model uncertainties. finite element (FE) models were first developed offline to be used with a reduced basis (RB) model order reduction technique for the construction of low-dimensional space to speed the analysis during the online stage. The RB model was validated against experimental test results for the establishment of a DT model of a two-dimensional truss. The established DT model and deep learning algorithms were used to identify the location of damage once it has appeared during the online stage. Finally, the RB model was used again to identify the damage severity. It was found that using the RB model, constructed offline, speeds the FE analysis during the online stage. The constructed RB model showed higher accuracy for predicting the damage severity, while deep learning algorithms were found to be useful for estimating the location of damage with small severity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20acquisition%20system" title="data acquisition system">data acquisition system</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20twin" title=" digital twin"> digital twin</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20uncertainties" title=" model uncertainties"> model uncertainties</a>, <a href="https://publications.waset.org/abstracts/search?q=reduced%20basis" title=" reduced basis"> reduced basis</a>, <a href="https://publications.waset.org/abstracts/search?q=reduced%20order%20model" title=" reduced order model"> reduced order model</a> </p> <a href="https://publications.waset.org/abstracts/152242/development-of-digital-twin-concept-to-detect-abnormal-changes-in-structural-behaviour" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152242.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">99</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=dimensional%20data%20model&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=dimensional%20data%20model&page=3">3</a></li> <li class="page-item"><a class="page-link" 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