The geometrical modeling of granular objects is a complex challenge that exists in many scientific fields, such as the modeling of granular materials or rocks and coarse aggregates with applications in civil, mechanic...
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The geometrical modeling of granular objects is a complex challenge that exists in many scientific fields, such as the modeling of granular materials or rocks and coarse aggregates with applications in civil, mechanical, and chemical engineering. In this paper, a model called SPHERE (Stochastic process for Highly Effective Radial Expansion) is proposed, which is based on the deformation of an ellipsoid mesh using multiple 3D Gaussian random fields. The model is designed to be flexible (full control over 2D and 3D morphological properties of granular objects), ultra-fast (over 1000 aggregates in less than 5 s), and independent of the mesh and base shape used (as long as it is a star-shaped object). The flexibility of the model and its ability to reflect real data is illustrated using images of latex nanoparticle aggregates. Using 2D measurements on images from a morphogranulometer, a method based on the SPHERE model is proposed to estimate the 3D morphological properties of aggregates. A multiscale optimization process is applied, in particular using a partial reconstruction of 2D shapes from elliptic Fourier descriptors, in order to best reproduce the shape, angularity and texture of the aggregates using the SPHERE model. Validation of the method on 3D printed data shows relative errors of less than 3% for all measured 2D and 3D morphological characteristics, and validation on a population of synthetic objects shows relative errors of less than 6%. The results are compared and discussed with those obtained using other models based on overlapping spheres and show consistency with previous work. Finally, suggestions for improvement are given
The comparison of a model of a process against event data recorded during its execution, known as conformance checking, is an important means in processanalysis. Yet, common conformance checking techniques are comput...
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ISBN:
(纸本)9781665435147
The comparison of a model of a process against event data recorded during its execution, known as conformance checking, is an important means in processanalysis. Yet, common conformance checking techniques are computationally expensive, which makes a complete analysis infeasible for large logs. To mitigate this problem, existing techniques leverage data samples. Then, the result quality depends on the relevance of the sample for a specific analysis task. Existing sampling strategies therefore rely on a static assumption on what constitutes relevant event data, which is generally unknown a priori. In this paper, we present relevance-guided sampling of event logs. Instead of employing a fixed relevance hypothesis, our approach learns the characteristics of event data that determine its relevance for conformance checking. To this end, we first explore the correlations between characteristics of the event data and the goal of a conformance checking task, before exploiting these correlations to guide the selection of a data sample. We present different instantiations of this approach and demonstrate that they significantly improve the quality of samples, and hence of conformance checking results, compared to baseline strategies.
An approach is proposed for extracting information from airborne Doppler radar returns that can be used to determine the presence of wind shear in commercial aviation. Issues that are discussed include modeling in ter...
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ISBN:
(纸本)0818608161
An approach is proposed for extracting information from airborne Doppler radar returns that can be used to determine the presence of wind shear in commercial aviation. Issues that are discussed include modeling in terms of stochastic differential equations, estimation in terms of minimum-mean-square-error filters, and detection in terms of a first-passage problem. Some discussion of the hardware architecture needed to process the data in a timely and efficient manner is included.
In order to accurately predict the plate production process defects,and increase the rate of finished products,and improve enterprise profits,on the base of large-scale industrial data accumulated in medium-thick plat...
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ISBN:
(纸本)9781509046584
In order to accurately predict the plate production process defects,and increase the rate of finished products,and improve enterprise profits,on the base of large-scale industrial data accumulated in medium-thick plate production process,this paper proposes using machine learning and dataanalysis theories and methods to study the data-driven stress and product defect prediction model of *** selecting the data features which have significant effect on the stress of the plate,we establish the logistic classification and forecasting model,and use cross-validation to train and validate the *** experimental results show that the feature extraction and prediction model can accurately predict the stress defect classification of the medium-thick plate production process.
Based on the braiding process and force analysis of yarn, a mesoscopic numerical modeling approach was established, which divided the modelingprocess as follows: establishing the control points according to the braid...
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ISBN:
(纸本)9780791849583
Based on the braiding process and force analysis of yarn, a mesoscopic numerical modeling approach was established, which divided the modelingprocess as follows: establishing the control points according to the braiding process, establishing the fixed points during jamming, adjusting the control points after jamming, changing the position of fiber bundle due to the fiber bundle intertwined each other and establishing the fiber bundle trajectory according to the minimum strain energy. In the process of adjusting the intertwined fiber bundle trajectories, the fiber bundle trajectory was scattered. Using extrapolation adjustment method, discrete points of fiber bundle trajectory intertwined were adjusted in turn from the control points to the fixed points. Adjusted discrete points were equivalent at the corresponding location points of the corresponding trajectory, and at the same time, there was non-interference between the fiber bundle trajectories. Using this method, fiber bundle trajectory and cross section of the models of 2-D woven and 3-D four-directional braided composite materials were established, compared with the experiment result, which were consistent with the electronic microscope scan images and calculated woven structure size was in agreement with the measured data. The maximum relative calculation error of braiding bitch of 3-D four-directional braided structure was about 5%, especially braiding angle was 21 or so, the relative calculation error was below 2%. The maximum relative calculation error of surface braiding angle of 3-D four-directional braided structure was about 4%, especially braiding angle was 21 or so, the relative calculation error was below 2.4%. This modeling approach was fundamental for further analysis of the micromechanical strength and life of braided composites, which was applied to aero-engine hot section.
Ultrahigh storage densities of up to 1 Tb/in.(2) or more can be achieved by using local-probe techniques to write, read back, and erase data in very thin polymer films. The thermomechanical scanning-probe-based data-s...
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Ultrahigh storage densities of up to 1 Tb/in.(2) or more can be achieved by using local-probe techniques to write, read back, and erase data in very thin polymer films. The thermomechanical scanning-probe-based data-storage concept called Millipede combines ultrahigh density, small form factor, and high data rate. After illustrating the principles of operation of the Millipede, a channel model for the analysis of the readback process is introduced, and analytical results are compared with experimental data. Furthermore, the arrangement of data-storage, fields as well as dedicated fields for servo and timing control is discussed, and system aspects related to the readback process, multiplexing, synchronization, and position-error-signal generation for tracking are introduced. Finally, the application of (d,k) modulation coding as a means to further increase areal density is presented, and the effect on the user data rates discussed.
Based on regional CBM geological characteristics and drainage data of three typical Coalbed Methane(CBM) wells in the southern Qinshui Basin,history matching,productivity prediction and factor analysis of gas producti...
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Based on regional CBM geological characteristics and drainage data of three typical Coalbed Methane(CBM) wells in the southern Qinshui Basin,history matching,productivity prediction and factor analysis of gas production control are conducted by using COMET3 reservoir modeling *** results show that in the next 20 years,the cumulative and average daily gas production of the QN01 well are expected to be 800×104 m3 and 1141.1 m3/d,for the QN02 well 878×104 m3 and 1202.7 m3/d and 97.5×104 m3 and 133.55 m3/d for the QN03 *** content and reservoir pressure are the key factors controlling gas production in the area;coal thickness,permeability and porosity are less important;the Langmuir volume,Langmuir pressure and adsorption time have relatively small *** the process of CBM recovery,the material source and driving force are the key features affecting gas productivity,while the permeation process is relatively important and the desorption process has some impact on gas recovery.
The apparel production is the one of important sector which supporting an economy countries, especially in developing country such as Indonesia. In the era of globalization, Small and Medium Enterprises should process...
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ISBN:
(纸本)9781538631003
The apparel production is the one of important sector which supporting an economy countries, especially in developing country such as Indonesia. In the era of globalization, Small and Medium Enterprises should process the competence to produce an acceptable product to stimulate enhance of business. Therefore, defective rates product should reducing, more over in the process of apparel production. The process design of apparel consist of various phase with the base fabric component, cutting, tailoring until finishing and inspecting. The research aims to develop a quality control system on Small and Medium Enterprises in apparel production as the case study in Kudus, Indonesia. In the mechanism control proposed with mobile application to send the data defect into main storage and Statistical processcontrol technique as the primary analysis. p-chart is used to monitor characteristics product that requires only single decision, such as good or bad and counting number of defect. In addition to control the production process, the final result of the research will he measuring process capability to see how the process capability in apparel production. At the end the defective chart was displayed into online web systems. The result of the research shows the quality control systems are capable of performing dataanalysis product.
Using the example of building an intelligent power supply system for agricultural consumers of a nominal voltage class of 0.4 kV-A microgrid, using the author's devices for monitoring the electrical mode and confi...
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data fusion is a key enabler for the situation analysisprocess. The study and the integration of all data fusion levels require both a suited architecture, and a modeling and simulation environment that allows the te...
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