Статті в журналах: "Segmented modeling"

1

Abraham, G. A., and T. R. Cuadrado. "Modeling of Segmented Polyurethane Drying Process." International Polymer Processing 13, no. 4 (December 1998): 369–78. http://dx.doi.org/10.3139/217.980369.

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Marche, D., and Y. Savaria. "Modeling $R{-}2R$ Segmented-Ladder DACs." IEEE Transactions on Circuits and Systems I: Regular Papers 57, no. 1 (January 2010): 31–43. http://dx.doi.org/10.1109/tcsi.2009.2019396.

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Gaur, Sagar, Yingjie Tang, Matthew A. Franchek, Karolos Grigoriadis, and Jay Pickett. "Hybrid Analytical Modeling of Force Dense Segmented Magnetic Linear Actuator with Non-Dimensional Parametric Modeling of the Magnetic Flux Effects." Machines 11, no. 2 (February 13, 2023): 278. http://dx.doi.org/10.3390/machines11020278.

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A new advanced two-dimensional hybrid analytical model of a segmented magnet linear actuator (MLA) comprised of surface permanent magnets (PM) is developed in this paper. This model is used to predict and evaluate the performance of the segmented MLA with proper correction on magnetic Flux Effects, validated by computational modeling. An MLA design with non-uniform PM segmentation was applied in this research to improve its performance compared with conventional radially magnetized MLA and uniform segmented Halbach Array based MLA. For MLA thrust force prediction, the previous published analytical model does not consider losses due to two observed magnetic Flux Effects: (1) the magnetic edge effect—the diminishing nature of the magnetic flux at the edge of the MLA, and (2) the observed magnetic interaction effect—the inconsistent peaks of individual magnetic flux lines, lower than the overall peak flux. In the proposed hybrid model for the segmented MLA, the shaft magnetic field distribution is based on a scalar potential theory subdomain method and the ring magnetic field is based on equivalent surface distributed currents. Collectively, these models are combined with three-dimensional finite element analysis (FEA), to estimate the magnetic thrust force. A data driven pole correction factor is introduced, based on the FEA computational database of three-dimensional MLA, to capture the losses associated with the magnetic flux, which is not considered in the analytical subdomain method. Finally, a normalized pole correction is proposed to generalize the model to different magnetic grades, different dimensional constraints, and varying magnet ratios of the segmented magnets. The developed model provides the design basis for manufacturing optimized force dense segmented MLAs for rotary to linear actuation, based on the force required for the application without the need for running FEA analysis after each design iteration, reducing costs and time required for the optimal design.

4

Tian, Yong, Bi Zhong Xia, Yue Sun, Zhi Hui Xu, and Wei Sun. "Modeling for Segmented Tracks Planning of Roadway-Powered Electric Vehicles." Applied Mechanics and Materials 385-386 (August 2013): 1159–63. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1159.

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Electric vehicle has aroused peoples concern with soaring energy crisis and environmental degradation. However, it has not been widely used due to some drawbacks, such as the short driving range, long charging time, frequent charging requirements and high price. In order to solve these problems, the roadway-powered electric vehicles (RPEVs) based on an inductive power transfer (IPT) has been proposed. In the segmented RPEVs system, efficiency and annual cost are affected by the track distance, tracks interval, number of tracks and installed capacity of each track, etc. Aiming to such problem, the nonlinear programming (NLP) model for segmented tracks planning of RPEVs system is studied in this paper. Meanwhile, the relationship between the system efficiency and the number of loads is analyzed as a cogent argument to the application of segmented tracks.

5

Ahn, Hyunjin, Byung Chan Son, Hyunsik Ryu, and Ockgoo Lee. "Parallel-Segmented CMOS Step-Up Autotransformer and Modeling." Journal of Korean Institute of Electromagnetic Engineering and Science 31, no. 11 (November 2020): 905–12. http://dx.doi.org/10.5515/kjkiees.2020.31.11.905.

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6

Wrobel, Rafal, Phil H. Mellor, and Derrick Holliday. "Thermal Modeling of a Segmented Stator Winding Design." IEEE Transactions on Industry Applications 47, no. 5 (September 2011): 2023–30. http://dx.doi.org/10.1109/tia.2011.2161741.

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7

Sadia, Farhana, Sarah Boyd, and Jonathan M. Keith. "Bayesian change-point modeling with segmented ARMA model." PLOS ONE 13, no. 12 (December 31, 2018): e0208927. http://dx.doi.org/10.1371/journal.pone.0208927.

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Riley, C. P., and J. Simkin. "Effective modeling of eddy currents with segmented components." IEEE Transactions on Magnetics 30, no. 5 (September 1994): 3008–11. http://dx.doi.org/10.1109/20.312570.

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Ampountolas, Apostolos, and Mark P. Legg. "A segmented machine learning modeling approach of social media for predicting occupancy." International Journal of Contemporary Hospitality Management 33, no. 6 (February 17, 2021): 2001–21. http://dx.doi.org/10.1108/ijchm-06-2020-0611.

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Purpose This study aims to predict hotel demand through text analysis by investigating keyword series to increase demand predictions’ precision. To do so, this paper presents a framework for modeling hotel demand that incorporates machine learning techniques. Design/methodology/approach The empirical forecasting is conducted by introducing a segmented machine learning approach of leveraging hierarchical clustering tied to machine learning and deep learning techniques. These features allow the model to yield more precise estimates. This study evaluates an extensive range of social media–derived words with the most significant probability of gradually establishing an understanding of an optimal outcome. Analyzes were performed on a major hotel chain in an urban market setting within the USA. Findings The findings indicate that while traditional methods, being the naïve approach and ARIMA models, struggled with forecasting accuracy, segmented boosting methods (XGBoost) leveraging social media predict hotel occupancy with greater precision for all examined time horizons. Additionally, the segmented learning approach improved the forecasts’ stability and robustness while mitigating common overfitting issues within a highly dimensional data set. Research limitations/implications Incorporating social media into a segmented learning framework can augment the current generation of forecasting methods’ accuracy. Moreover, the segmented learning approach mitigates the negative effects of market shifts (e.g. COVID-19) that can reduce in-production forecasts’ life-cycles. The ability to be more robust to market deviations will allow hospitality firms to minimize development time. Originality/value The results are expected to generate insights by providing revenue managers with an instrument for predicting demand.

10

Lee, Jae Min, Jae Hak Cheong, and Jooho Whang. "Methodology for Establishing Segmentation Strategy for Large Metal Components from Nuclear Power Plants with Consideration of Packaging into Containers." Science and Technology of Nuclear Installations 2021 (April 16, 2021): 1–19. http://dx.doi.org/10.1155/2021/8814536.

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A methodology for segmenting large metal components from nuclear power plants has been developed with a view to minimizing the number of containers to emplace segmented pieces. Spherocylinder-type and rectangular prism-type objects are modeled in shapes, and equations to calculate heights, widths, lengths, or angles for segmentation and the number of pieces are derived using geometric theorems, with a hypothetical ‘virtual rectangle’ being introduced for simplification. Applicability of the new methodology is verified through case studies assuming that each segmented piece is packaged into a 200 L container, and a procedure for adjusting potential overestimation of the segmented pieces due to the virtual rectangle is proposed. The new approach results in fewer segmented pieces but more containers than an existing segmentation study using 3D modeling. It is demonstrated that the number of containers can be further reduced, however, if the generalized methodology is followed by 3D modeling. In addition, it is confirmed that the generalized approach is also applicable to a nonstandard shapes such as ellipsoidal shape but only under limited conditions. Sensitivity analyses are conducted by changing dimensions of the objects and container, which brings about an optimal dimension of container as well. The generalized approach would be utilized either alone in decommissioning planning to estimate waste from segmentation of large metal components or combined with 3D modeling to optimize segmentation operation.

11

Morales, Mauricio, and Majdedin Mirmirani. "Design & Modeling of a Segmented Reflector Test-bed." IFAC Proceedings Volumes 31, no. 20 (July 1998): 707–13. http://dx.doi.org/10.1016/s1474-6670(17)41879-9.

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12

Liu, Zhuming, and Lijie Lia. "Modeling of Energy Harvesting Device with Segmented Piezoelectric Layer." Procedia Engineering 47 (2012): 470–73. http://dx.doi.org/10.1016/j.proeng.2012.09.186.

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13

Wang, Changfa, Tuo Yao, and Qinghua Yang. "Multi-Scale Indoor Scene Geometry Modeling Algorithm Based on Segmentation Results." Applied Sciences 13, no. 21 (October 27, 2023): 11779. http://dx.doi.org/10.3390/app132111779.

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Due to the numerous objects with regular structures in indoor environments, identifying and modeling the regular objects in scenes aids indoor robots in sensing unknown environments. Typically, point cloud preprocessing can obtain highly complete object segmentation results in scenes which can be utilized as the objects for geometric analysis and modeling, thus ensuring modeling accuracy and speed. However, due to the lack of a complete object model, it is not possible to recognize and model segmented objects through matching methods. To achieve a greater understanding of scene point clouds, this paper proposes a direct geometric modeling algorithm based on segmentation results, which focuses on extracting regular geometries in the scene, rather than objects with geometric details or combinations of multiple primitives. This paper suggests using simpler geometric models to describe the corresponding point cloud data. By fully utilizing the surface structure information of segmented objects, the paper analyzes the types of faces and their relationships to classify regular geometric objects into two categories: planar and curved. Different types of geometric objects are fitted using random sampling consistency algorithms with type classification results as prior knowledge, and segmented results are modeled through a combination of size information associated with directed bounding boxes. For indoor scenes with occlusion and stacking, utilizing a higher-level semantic expression can effectively simplify the scene, complete scene abstraction and structural modeling, and aid indoor robots’ understanding and further operation in unknown environments.

14

Chen, Xin, Victor Taracila, Timothy Eagan, Hiroyuki Fujita, Xingxian Shou, Tanvir Baig, and Robert Brown. "An Antenna-Theory Method for Modeling High-Frequency RF Coils: A Segmented Birdcage Example." International Journal of Antennas and Propagation 2008 (2008): 1–10. http://dx.doi.org/10.1155/2008/456019.

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We suggest that center-fed dipole antenna analytics can be employed in the optimized design of high-frequency MRI RF coil applications. The method is illustrated in the design of a single-segmented birdcage model and a short multisegmented birdcage model. As a byproduct, it is shown that for a long single-segmented birdcage model, the RF field within it is essentially a TEM mode and has excellent planar uniformity. For a short shielded multisegmented birdcage model, the RF field is optimized with a target-field approach with an average SAR functional. The planar homogeneity of the optimized RF field is significantly improved compared with that of a single-segmented birdcage model with the same geometry. The accuracy of the antenna formulae is also verified with numerical simulations performed via commercial software. The model discussed herein provides evidence for the effectiveness of antenna methods in future RF coil analysis.

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Priyadarshini, Amrita, Surjya K. Pal, and Arun K. Samantaray. "A Finite Element Study of Chip Formation Process in Orthogonal Machining." International Journal of Manufacturing, Materials, and Mechanical Engineering 1, no. 4 (October 2011): 19–45. http://dx.doi.org/10.4018/ijmmme.2011100102.

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This paper examines the plane strain 2D Finite Element (FE) modeling of segmented, as well as continuous chip formation while machining AISI 4340 with a negative rake carbide tool. The main objective is to simulate both the continuous and segmented chips from the same FE model based on FE code ABAQUS/Explicit. Both the adiabatic and coupled temperature displacement analysis has been performed to simulate the right kind of chip formation. It is observed that adiabatic hypothesis plays a critical role in the simulation of segmented chip formation based on adiabatic shearing. The numerical results dealing with distribution of stress, strain and temperature for segmented and continuous chip formations were compared and found to vary considerably from each other. The simulation results were also compared with other published results; thus validating the developed model.

16

Krumm, Teresa Laura, Alireza Ehsani, Jochen Schaub, and Fabian Stiefel. "An Investigation into the Metabolic Differences between Conventional and High Seeding Density Fed-Batch Cell Cultures by Applying a Segmented Modeling Approach." Processes 11, no. 4 (April 4, 2023): 1094. http://dx.doi.org/10.3390/pr11041094.

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The conventional fed-batch process characterized by a low titer currently challenges pharmaceutical development. Process optimization by applying a perfusion process in the pre-stage and subsequent production phase at a high seeding density (HSD) can meet this challenge. In this study, we employed a simplified approach based on measured experiments, namely segmented modeling, to systematically analyze an HSD fed-batch process compared to a standard process. A comparison indicated that the metabolic phases of HSD processes are not only shifted in time, but metabolite trends show an altered metabolism. In an extended study, we integrated the intracellular fluxes determined by a metabolic flux analysis into the segmented modeling approach. Compared to using only extracellular rates, similar phases are identified, and this highlights the reliability of phase identification modeling using extracellular rates only. Furthermore, the segmented linear regression approach is used to create a model that describes cellular behavior and that can be used to predict potential improvements in the feeding strategy and in harvest viability. Here, overfeeding was eliminated and a significantly higher titer was achieved. This work provides insights into the overall metabolic changes in the HSD process and paves the way towards the optimization of the feeding regime.

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Sharma, Mahadev, Harold E. Burkhart, and Ralph L. Amateis. "Scaling Taper Relationships from Miniature-Scale to Operational-Scale Stands of Loblolly Pine." Forest Science 53, no. 5 (October 1, 2007): 611–17. http://dx.doi.org/10.1093/forestscience/53.5.611.

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Abstract Taper relationships for trees grown in miniature- and operational-scale stands of loblolly pine were established using stem analysis data from 106 and 173 trees, respectively. Tree taper was modeled using segmented polynomial and dimensionally compatible taper equations. The relationship was then scaled from miniature to operational scale using the profiles obtained from these taper equations. Stump diameter was used in the taper equations instead of dbh in scaling the relationship. A simple linear regression equation described well the taper relationship between trees grown at miniature and operational scales. The fit statistics for both the segmented polynomial and dimensionally compatible taper equations were comparable at both scales. In terms of predictive accuracy, however, the segmented polynomial taper equation was superior to the dimensionally compatible taper equation in scaling the taper relationship for trees from miniature- to operational-scale plots.

18

Chattopadhyay, Aditi, Haozhong Gu, Rajan Beri, and Changho Nam. "Modeling Segmented Active Constrained Layer Damping Using Hybrid Displacement Field." AIAA Journal 39, no. 3 (March 2001): 480–86. http://dx.doi.org/10.2514/2.1330.

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Chen, Lue, Jinsong Ping, Jianfeng Cao, Xiang Liu, Na Wang, Zhen Wang, Ping Zhu, et al. "Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling." Remote Sensing 13, no. 14 (July 20, 2021): 2846. http://dx.doi.org/10.3390/rs13142846.

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The high accuracy radio Doppler frequency is critical for navigating a deep space probe and for planetary radio science experiments. In this paper, we propose a novel method based on the local correlation of segmented modeling to retrieve Doppler frequency by processing an open-loop radio link signal from one single ground station. Simulations are implemented, which prove the validity of this method. Mars Express (MEX) and Tianwen-1 observation experiments were carried out by Chinese Deep Space Stations (CDSS). X-band Doppler frequency observables were retrieved by the proposed method to participate in orbit determination. The results show that the accuracy of velocity residuals of orbit determination in open-loop mode is from 0.043 mm/s to 0.061 mm/s in 1 s integration; the average accuracy of Doppler frequency is about 3.3 mHz in 1 s integration and about 0.73 mHz in 60 s integration. The Doppler accuracy here is better than that of the digital baseband receiver at CDSS. The algorithm is efficient and flexible when the deep space probe is in a high dynamic mode and in low signal to noise ratio (SNR). This will benefit Chinese deep space exploration missions and planetary radio science experiments.

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Imtiaz, Nadia, Richard Marchand, and Jean-Pierre Lebreton. "Modeling of current characteristics of segmented Langmuir probe on DEMETER." Physics of Plasmas 20, no. 5 (May 2013): 052903. http://dx.doi.org/10.1063/1.4804336.

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Custers, C. H. H. M., T. T. Overboom, J. W. Jansen, and E. A. Lomonova. "2-D Semianalytical Modeling of Eddy Currents in Segmented Structures." IEEE Transactions on Magnetics 51, no. 11 (November 2015): 1–4. http://dx.doi.org/10.1109/tmag.2015.2452956.

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Custers, C. H. H. M., J. W. Jansen, M. C. van Beurden, and E. A. Lomonova. "3D harmonic modeling of eddy currents in segmented conducting structures." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 1 (January 7, 2019): 2–23. http://dx.doi.org/10.1108/compel-02-2018-0070.

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PurposeThe purpose of this paper is to describe a semi-analytical modeling technique to predict eddy currents in three-dimensional (3D) conducting structures with finite dimensions. Using the developed method, power losses and parasitic forces that result from eddy current distributions can be computed.Design/methodology/approachIn conducting regions, the Fourier-based solutions are developed to include a spatially dependent conductivity in the expressions of electromagnetic quantities. To validate the method, it is applied to an electromagnetic configuration and the results are compared to finite element results.FindingsThe method shows good agreement with the finite element method for a large range of frequencies. The convergence of the presented model is analyzed.Research limitations/implicationsBecause of the Fourier series basis of the solution, the results depend on the considered number of harmonics. When conducting structures are small with respect to the spatial period, the number of harmonics has to be relatively large.Practical implicationsBecause of the general form of the solutions, the technique can be applied to a wide range of electromagnetic configurations to predict, e.g. eddy current losses in magnets or wireless energy transfer systems. By adaptation of the conductivity function in conducting regions, eddy current distributions in structures containing holes or slit patterns can be obtained.Originality/valueWith the presented technique, eddy currents in conducting structures of finite dimensions can be modeled. The semi-analytical model is for a relatively low number of harmonics computationally faster than 3D finite element methods. The method has been validated and shown to be computationally accurate.

23

Chattopadhyay, Aditi, Haozhong Gu, Rajan Beri, and Changho Nam. "Modeling segmented active constrained layer damping using hybrid displacement field." AIAA Journal 39 (January 2001): 480–86. http://dx.doi.org/10.2514/3.14755.

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24

Nirwana, Muhammad Bayu, and Dewi Wulandari. "Comparison of Simple and Segmented Linear Regression Models on the Effect of Sea Depth toward the Sea Temperature." Enthusiastic : International Journal of Applied Statistics and Data Science 1, no. 2 (December 7, 2021): 68–75. http://dx.doi.org/10.20885/enthusiastic.vol1.iss2.art3.

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The linear regression model is employed when it is identified a linear relationship between the dependent and independent variables. In some cases, the relationship between the two variables does not generate a linear line, that is, there is a change point at a certain point. Therefore, themaximum likelihood estimator for the linear regression does not produce an accurate model. The objective of this study is to presents the performance of simple linear and segmented linear regression models in which there are breakpoints in the data. The modeling is performed onthe data of depth and sea temperature. The model results display that the segmented linear regression is better in modeling data which contain changing points than the classical one.Received September 1, 2021Revised November 2, 2021Accepted November 11, 2021

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Bonete, Izabel Passos, Julio Eduardo Arce, Afonso Figueiredo Filho, Fabiane Aparecida de Souza Retslaff, and Luciano Rodrigo Lanssanova. "ARTIFICIAL NEURAL NETWORKS AND MIXED-EFFECTS MODELING TO DESCRIBE THE STEM PROFILE OF Pinus taeda L." FLORESTA 50, no. 1 (December 20, 2019): 1123. http://dx.doi.org/10.5380/rf.v50i1.61764.

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The aim of this study was to compare the effectiveness of artificial neural networks (ANNs) and mixed-effects models (MEMs) in describing the stem profile of Pinus taeda L., using sample data from 246 trees. First, three taper functions of different classes were adjusted: non-segmented, segmented, and variable-form. To adjust the models, the nonlinear regression technique (nls) was used. In the best performance equation for nls-adjusted diameter estimates, the nonlinear MEM (nlme) was applied at two levels, using the age class (ci) and DBH class (cd). For this, three different study scenarios were considered, with the number of coefficients with random effects ranging from one to three in each scenario. The adjustments were made using the nls and nlme functions in R software. The selected mixed-effect equations were compared with ANNs generated in Neuro 4.0 software. The taper function models and ANNs were classified according to statistical criteria and graphical analysis of residues. The tapering equation of Bi (2000) presented better performance for diameter estimates than the non-segmented and segmented equations. Application of the nlme technique in the Bi (2000) equation increased the accuracy of the diameter estimates for Pinus taeda, in relation to the adjustment using the nls technique. In the comparison of ANNs with the variations of the Bi equation of mixed-effects, the networks performed better, indicated in the description of the P. taeda profile.

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Karpachevsky, A. M., and G. S. Titov. "Possibilities of using official data in spatio-temporal modeling of main electrical networks." IOP Conference Series: Earth and Environmental Science 1154, no. 1 (March 1, 2023): 012051. http://dx.doi.org/10.1088/1755-1315/1154/1/012051.

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Abstract The article investigates the accuracy of spatio-temporal modeling of main electrical networks based on open data published in schemes and programs for the development of regions. As a rule, these documents give the date of commissioning / reconstruction of the entire line, which it is at a given point in time, however, in reality, modern lines consist in most cases of a set of segments from different years of construction. Failure to take into account the segmentation of the network leads to errors in the attribution of temporal data, which in turn can lead to errors in planning the development of the network. The paper compares the data of non-segmented and segmented networks and illustrates the distribution of the error in dating.

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Sattar, Sh, A. Osipkov, and V. V. Belyaev. "Mathematical Modeling of Survivability Function for Thermoelectric Module." Journal of Physics: Conference Series 2056, no. 1 (October 1, 2021): 012028. http://dx.doi.org/10.1088/1742-6596/2056/1/012028.

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Abstract Developing an optimized reliability model for thermoelectric module at the stress where the probability of module to functions without abruptive failure is a challenging aspect. One of the major reasons is the mismatch of thermal expansion coefficient, which has severe effects on segmented moduli compared to unsegmented moduli. The likelihood of a thermoelectric module to survive at certain level of thermo-mechanical stresses varies by varying number of component (layers) in thermoelectric leg. On another hand, selection of an adequate distribution model to predict reliability and sustainability of the thermoelectric module requires development of new optimized stress-strength-based model. In this paper the predictive reliability model for high temperature segmented module is derived from parametric Lognormal mean residual life and nonparametric Lognormal-kernel survival function to measure probability of module to survive at certain thermo-mechanical stress. A comprehensive comparative discussion has been done to illustrate the maximum likelihood based on Bayesian nonparametric lognormal-Kernel inference method regarding to Monte Carlo simulation, Weibull’s distribution, and Lognormal mean residual life for various shapes for the survival function. It has been demonstrated that nonparametric lognormal-kernel survival function has high ratio of probability to predict the survival of module at higher discrete thermo-mechanical stress data.

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Moris Devotta, Ashwin, P. V. Sivaprasad, Tomas Beno, and Mahdi Eynian. "Predicting Continuous Chip to Segmented Chip Transition in Orthogonal Cutting of C45E Steel through Damage Modeling." Metals 10, no. 4 (April 17, 2020): 519. http://dx.doi.org/10.3390/met10040519.

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Machining process modeling has been an active endeavor for more than a century and it has been reported to be able to predict industrially relevant process outcomes. Recent advances in the fundamental understanding of material behavior and material modeling aids in improving the sustainability of industrial machining process. In this work, the flow stress behavior of C45E steel is modeled by modifying the well-known Johnson-Cook model that incorporates the dynamic strain aging (DSA) influence. The modification is based on the Voyiadjis-Abed-Rusinek (VAR) material model approach. The modified JC model provides the possibility for the first time to include DSA influence in chip formation simulations. The transition from continuous to segmented chip for varying rake angle and feed at constant cutting velocity is predicted while using the ductile damage modeling approach with two different fracture initiation strain models (Autenrieth fracture initiation strain model and Karp fracture initiation strain model). The result shows that chip segmentation intensity and frequency is sensitive to fracture initiation strain models. The Autenrieth fracture initiation strain model can predict the transition from continuous to segmented chip qualitatively. The study shows the transition from continuous chip to segmented chip for varying feed rates and rake angles for the first time. The study highlights the need for material testing at strain, strain rate, and temperature prevalent in the machining process for the development of flow stress and fracture models.

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Mostofi, N., A. Moussa, M. Elhabiby, and N. El-Sheimy. "RGB-D Indoor Plane-based 3D-Modeling using Autonomous Robot." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 301–8. http://dx.doi.org/10.5194/isprsarchives-xl-1-301-2014.

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3D model of indoor environments provide rich information that can facilitate the disambiguation of different places and increases the familiarization process to any indoor environment for the remote users. In this research work, we describe a system for visual odometry and 3D modeling using information from RGB-D sensor (Camera). The visual odometry method estimates the relative pose of the consecutive RGB-D frames through feature extraction and matching techniques. The pose estimated by visual odometry algorithm is then refined with iterative closest point (ICP) method. The switching technique between ICP and visual odometry in case of no visible features suppresses inconsistency in the final developed map. Finally, we add the loop closure to remove the deviation between first and last frames. In order to have a semantic meaning out of 3D models, the planar patches are segmented from RGB-D point clouds data using region growing technique followed by convex hull method to assign boundaries to the extracted patches. In order to build a final semantic 3D model, the segmented patches are merged using relative pose information obtained from the first step.

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Zhang, Xiang Hua, and Hong Bing Wu. "Finite Element Analysis on Segmented Chip Formation for High Speed Cutting of Ti6Al4V Alloy." Key Engineering Materials 407-408 (February 2009): 599–603. http://dx.doi.org/10.4028/www.scientific.net/kem.407-408.599.

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To accurately simulate the segmented chip formation of titanium alloy Ti6Al4V in high speed cutting process, the key techniques of the finite element modeling were investigated detailed, which included establishing the finite element model, material constitutive relation, chip separation criteria, material failure criteria. A high speed cutting case of titanium alloy Ti6Al4V were simulated with thermal mechanical analysis and adiabatic analysis respectively. Through the comparison of the two simulated results, it proved the segmented chip is formed because of the adiabatic shear. The results prove the finite element model established is correct.

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Störkle, Johannes, Luzia Hahn, and Peter Eberhard. "Simulation of segmented mirrors with adaptive optics." Advanced Optical Technologies 8, no. 2 (February 23, 2019): 119–27. http://dx.doi.org/10.1515/aot-2018-0063.

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Abstract This work deals with the simulation-based investigation and control of optical systems that are mechanically influenced. Here, the focus is on the dynamic-optical modeling of vibration-sensitive, segmented mirror systems, which are used, for example, in large astronomic telescopes. Furthermore, an adaptive optical unit usually compensates for the optical aberrations due to atmospheric disturbances. In practice, these aberrations are detected and corrected within a few seconds using deformable mirrors. However, to further improve the performance of these optical systems, dynamic disturbances in the mechanics, i.e. small movements and deformations of the optical surfaces, must also be taken into account. For the investigation of such cases, multidisciplinary simulation methods are developed and presented.

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Tsarev, Andrei, and Vittorio M. N. Passaro. "Numerical Simulation of Optical Sensing by the Far Field Pattern Radiated by Periodic Grating Strips Over Silica Buffer on the Silicon Wire Waveguide." Sensors 20, no. 18 (September 16, 2020): 5306. http://dx.doi.org/10.3390/s20185306.

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This paper presents results of numerical modeling of a modified design of an optical sensor based on segmented periodic silicon oxynitride (SiON) grating evanescently coupled with silicon wire. This segmented grating works as a leaky waveguide, which filters input power from a broadband optical source and radiates it as an outcoming optical beam with both a small wavelength band and a small beam divergence. The radiation angle strongly depends on the refractive index of the grating environment and provides sensor interrogation by measuring the far field pattern in the focal plane of the lens, which is placed near the sensor element. The device concept was verified by direct numerical modeling through the finite difference time domain (FDTD) method and provided moderate intrinsic limit of detection (iLOD) ~ 0.004 RIU with a possible iLOD ~ 0.001 RIU for 10 mm-long structures.

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Toral, Fábio Luiz Buranelo, Roberto Augusto de Almeida Torres Júnior, Paulo Sávio Lopes, Luiz Otávio Campos da Silva, and João Cruz Reis Filho. "Modeling the effect of the age of dam at calving on the weaning weight of Charolais-Zebu crossbred calves." Revista Brasileira de Zootecnia 38, no. 7 (July 2009): 1229–37. http://dx.doi.org/10.1590/s1516-35982009000700011.

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The objective of this study was to evaluate alternatives for modeling the age of dam at calving (AOD) effect on the weaning weight of Charolais-Zebu crossbred calves. Data from 56,965 calves were analyzed, using statistical models considering the fixed effects of the contemporary groups, sire and dam genetic groups, and AOD. The AOD effect was fitted to models using annual age classes, and ordinary quadratic to quintic-ordered polynomials (OP) or segmented polynomials (SP) with two, three, four, six and twelve evenly spaced intervals. In the case of segmented polynomials, general linear and quadratic effects and only one quadratic additional term from each knot were considered. The AOD effects were nested within sex of calf in all cases. According to the fitting criteria, the F-test for the reduction of residual sum of squares, coefficient of determination, residual sum of squares and mean of squared residuals, the three interval segmented polynomial (two knots) fitted to the data as well as the more complex polynomials.

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Erhardt, Gregory D., David L. Kurth, Erik E. Sabina, and Smith Myung. "Market-Based Framework for Forecasting Parking Cost in Traditional and Microsimulation Modeling Applications." Transportation Research Record: Journal of the Transportation Research Board 1921, no. 1 (January 2005): 79–88. http://dx.doi.org/10.1177/0361198105192100110.

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Parking cost is an important variable in determining mode choice, yet it receives little attention in most travel forecasting models. This paper presents a framework for modeling parking supply and cost that has three advantages over most parking cost models: a market-based approach is used to equilibrate parking demand with parking supply; actual parking costs paid by groups of travelers rather than average parking costs are estimated for each transportation analysis zone; and estimates are made from longitudinal data. This framework has been applied successfully in a traditional four-step travel model and is being used in practice. It also provides additional opportunities for application in a segmented manner or in concert with a microsimulation modeling approach. Mode choice results based on aggregate and segmented applications of the framework are substantially different. Improved forecasting of parking costs should be an important consideration in any new model development. In recent years, substantial efforts have been focused on household interactions and activity modeling. Although the understanding of travel behavior has improved substantially, the improved techniques still depend on good input data for credible forecasts.

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Liang, Peng, Ziyuan Li, Hang Tu, and Huimin Zhao. "LBRT: Local-Information-Refined Transformer for Image Copy–Move Forgery Detection." Sensors 24, no. 13 (June 26, 2024): 4143. http://dx.doi.org/10.3390/s24134143.

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The current deep learning methods for copy–move forgery detection (CMFD) are mostly based on deep convolutional neural networks, which frequently discard a large amount of detail information throughout convolutional feature extraction and have poor long-range information extraction capabilities. The Transformer structure is adept at modeling global context information, but the patch-wise self-attention calculation still neglects the extraction of details in local regions that have been tampered with. A local-information-refined dual-branch network, LBRT (Local Branch Refinement Transformer), is designed in this study. It performs Transformer encoding on the global patches segmented from the image and local patches re-segmented from the global patches using a global modeling branch and a local refinement branch, respectively. The self-attention features from both branches are precisely fused, and the fused feature map is then up-sampled and decoded. Therefore, LBRT considers both global semantic information modeling and local detail information refinement. The experimental results show that LBRT outperforms several state-of-the-art CMFD methods on the USCISI dataset, CASIA CMFD dataset, and DEFACTO CMFD dataset.

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OSHIMA, Takuya, and Yusaku KOSHIBA. "A segment-based A-weighted sound propagation model for road traffic noise assessment: A general concept." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 2 (November 30, 2023): 6245–54. http://dx.doi.org/10.3397/in_2023_0924.

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The propagation model of the road traffic noise established by the Acoustical Society of Japan, the ASJ-RTN Model 2018, directly obtains the A-weighted sound pressure level by assuming specific power spectra of vehicle sources in a single calculation. This is more effective in reducing computational burden than European models, which typically require calculations in eight bands from 63 Hz to 8 kHz. However, the ASJ model has not been generalized enough to deal with an arbitrary terrain profile, contrary to the European models where the handling of a segmented terrain profile is integrated. This will become a major obstacle in realizing noise mapping in Japan. In this paper, a concept of an A-weighted sound propagation model for road traffic noise with integrated handling of a segmented terrain profile is presented. The model combines the segmented modeling of multiple diffractions over a complex profile and the Fresnel weighting of ground characteristics both employed by Harmonoise, the mean plane for ground modeling used in CNOSSOS-EU, and the calculation of the excess attenuation terms following the ASJ model. Preliminary calculation results show that the model agrees reasonably well with finite-difference time-domain simulation results on flat and uniform ground, but still needs investigation for non-flat and nonuniform ground.

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Walczak, S., Winfried Seifert, and Eckhard Müller. "Modeling of Segmented Peltier Cooling with Discrete and Continuous Concentration Function." Materials Science Forum 492-493 (August 2005): 507–16. http://dx.doi.org/10.4028/www.scientific.net/msf.492-493.507.

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Commercialization of Peltier coolers has progressed during last years and special efforts have been undertaken to enhance the efficiency of thermoelectric (TE) devices. Along with the continued search for advanced TE materials, the concept of FGM offers a strategy of gradual improvement of device performance. In reality a functional gradient in a TE material means a related spatial variation of all TE properties – Seebeck coefficient, electrical, and thermal conductivity – whereas the most relevant effect is linked to the gradient of the Seebeck coefficient. Due to the spatial dependence of the Seebeck coefficient, Peltier heat is absorbed or released inside the TE element under current flow (distributed Peltier effect) which can be exploited to shape the internal temperature profile in a desired manner. Starting from the first principles of thermoelectricity, a differential equation governing the coupling of thermal and electrical transport is derived within the frame of a one-dimensional model. It is shown that this approach can be also used to model multi-segment Peltier cooling devices. Temperature profiles T(x) have been calculated for a segmented TE element within the framework of a constant parameters theory. The work presents an analytical model for performance evaluation of multiply-segmented Peltier elements. The problem is treated in a one-dimensional approach for a p-type stack containing N segments of different properties. Assuming constant TE material properties in each of the segments, the differential equation of TE transports has been solved to obtain the temperature profile T(x) in each segment. With the material properties values in each segment representing volume average values this model gives an excellent approximation also for continuously graded elements. The boundary conditions of the TE problem set-up, as conservation of heat at any intermediate junction between the segments, and fixed temperature at the cold and hot end of the element, lead to a linear equation system, which can be easily solved by means of standard methods. From the solution, all desired performance parameters can be deduced. Based on realistic material data exemplary calculations are presented for stacked and continuously graded elements. To demonstrate the developed numerical algorithm, gradients of the Seebeck coefficient are mainly considered. Calculations have been performed for N = 2, 5, 10, and continuous gradients. As target parameters, the C.O.P. and the cooling power have been calculated as functions of the electric current. As well, the minimum temperature of the cold side has been determined for various shape of the Seebeck gradient. It is shown that the TE FGM effect can be almost completely utilized already by a stack of two to five homogeneous segments. The results allow for giving an estimation on the order of magnitude of performance improvement of both discontinuously and continuously graded Peltier cooling devices. The model calculation was implemented with the software tool MATHEMATICA. The code provides an easy to handle convenient instrument for performance estimation of non-homogeneous Peltier pellets. Technological studies for controlled fabrication of those pellets are underway.

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Ibrahim, Mounir B., Daniel Danila, Terrence W. Simon, David Gedeon, and Roy Tew. "Computational Modeling of a Segmented-Involute-Foil Regenerator for Stirling Engines." Journal of Thermophysics and Heat Transfer 23, no. 4 (October 2009): 786–800. http://dx.doi.org/10.2514/1.40330.

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Mettler, Edward, and Marco B. Quadrelli. "Multibody Dynamics Modeling of Segmented Booms of the Mars Express Spacecraft." Journal of Spacecraft and Rockets 42, no. 3 (May 2005): 523–29. http://dx.doi.org/10.2514/1.5104.

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Goldman, Bryan, Lianne Sheppard, Sharon G. Kujawa, and Noah S. Seixas. "Modeling distortion product otoacoustic emission input/output functions using segmented regression." Journal of the Acoustical Society of America 120, no. 5 (November 2006): 2764–76. http://dx.doi.org/10.1121/1.2258871.

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Abrahamsson, Philip, Francisco J. Marquez-Fernandez, and Mats Alakula. "Thermal Modeling and Analysis of an Alternating Short-Segmented Conductive ERS." IEEE Transactions on Transportation Electrification 5, no. 4 (December 2019): 1078–86. http://dx.doi.org/10.1109/tte.2019.2925207.

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Wu, Caesar, Rajkumar Buyya, and Kotagiri Ramamohanarao. "Value-based cloud price modeling for segmented business to business market." Future Generation Computer Systems 101 (December 2019): 502–23. http://dx.doi.org/10.1016/j.future.2019.06.013.

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Xu, Zimin, Guoli Wang, and Xuemei Guo. "Online Activity Recognition Combining Dynamic Segmentation and Emergent Modeling." Sensors 22, no. 6 (March 14, 2022): 2250. http://dx.doi.org/10.3390/s22062250.

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Activity recognition is fundamental to many applications envisaged in pervasive computing, especially in smart environments where the resident’s data collected from sensors will be mapped to human activities. Previous research usually focuses on scripted or pre-segmented sequences related to activities, whereas many real-world deployments require information about the ongoing activities in real time. In this paper, we propose an online activity recognition model on streaming sensor data that incorporates the spatio-temporal correlation-based dynamic segmentation method and the stigmergy-based emergent modeling method to recognize activities when new sensor events are recorded. The dynamic segmentation approach integrating sensor correlation and time correlation judges whether two consecutive sensor events belong to the same window or not, avoiding events from very different functional areas or with a long time interval in the same window, thus obtaining the segmented window for every single event. Then, the emergent paradigm with marker-based stigmergy is adopted to build activity features that are explicitly represented as a directed weighted network to define the context for the last sensor event in this window, which does not need sophisticated domain knowledge. We validate the proposed method utilizing the real-world dataset Aruba from the CASAS project and the results show the effectiveness.

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Kadar, Endre E., Robert E. Shaw, and M. T. Turvey. "Path space integrals for modeling experimental measurements of cerebellar functioning." Behavioral and Brain Sciences 20, no. 2 (June 1997): 253–54. http://dx.doi.org/10.1017/s0140525x97321438.

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A propagator for a path space integral can be used to represent the “tidal wave function” and provides a natural way to model a control signal that is temporally segmented by placement of pairs of stimulating and recording electrodes. Although care must be exercised in interpreting the resulting measurement, the technique should prove useful to experimenters who study cerebellar functioning.

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Ali, Moaz H., Basim A. Khidhir, Bashir Mohamed, and A. A. Oshkour. "Investigation on Chip Formation during Machining Using Finite Element Modeling." Advanced Materials Research 505 (April 2012): 31–36. http://dx.doi.org/10.4028/www.scientific.net/amr.505.31.

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Titanium alloys are desirable materials for aerospace industry because of their excellent combination of high specific strength, lightweight, fracture resistant characteristics, and general corrosion resistance. Therefore, the chip morphology is very important in the study of machinability of metals as well as the study of cutting tool wear. The chips are generally classified into four groups: continuous chips, chips with built-up-edges (BUE), discontinuous chips and serrated chips. . The chip morphology and segmentation play a predominant role in determining machinability and tool wear during the machining process. The mechanics of segmented chip formation during orthogonal cutting of titanium alloy Ti–6Al–4V are studied in detail with the aid of high-speed imaging of the chip formation zone. The finite element model of chip formation of Ti–6Al–4V is suggested as a discontinuous type chip at lower cutting speeds developing into a continuous, but segmented, chip at higher cutting speeds. The prediction by using finite-element modeling method and simulation process in machining while create chips formation can contribute in reducing the cost of manufacturing in terms of prolongs the cutting tool life and machining time saving.

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Wang, Haojie, Jing Liu, Yong Tian, Zhaodong Wang, and Xiaoxue An. "Mathematical Modeling of Carbon Flux Parameters for Low-Pressure Vacuum Carburizing with Medium-High Alloy Steel." Coatings 10, no. 11 (November 9, 2020): 1075. http://dx.doi.org/10.3390/coatings10111075.

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Low-pressure vacuum carburizing adopts a pulse process mode to improve the carburizing efficiency and reduces gas and energy consumption. Carbon flux is the key to accurately control the time of strong infiltration and diffusion in each pulse. In order to obtain the carbon fluxes with various materials under diffident carburizing process conditions, an evenly segmented carbon flux method is proposed. A systematic study with each model using different materials (12Cr2Ni4A, 16Cr3NiWMoVNbE, and 18Cr2Ni4WA represent different initial carbon concentrations and different alloy compositions), carburizing temperatures, and carburizing pressures to determine the effect of these conditions on carbon flux is conducted. Compared with traditional segmented carbon flux method, an evenly segmented carbon flux method can predict the actual carbon flux more precisely and effectively in order to finely control the pulse carburization process. The paper also indicates that carbon fluxes increase with the increase of pressure. The optimal carburization pressure for low-pressure vacuum carburization is 300 Pa. Raising the carburization temperature to 980 °C instead of 920 °C can increase effective carbon flux by more than 30%. Among the material compositions, alloy content has the biggest impact over the carbon, initial carbon concentration the second, and saturated carbon concentration the third biggest impact.

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Temnikov A. G., Chernensky L. L., Orlov A. V., Lysov N. Y., Belova O. S., Kovalev D. I., and Kivshar T. K. "Investigation of the influence of the type of the lightning diverter strip on the spectrum of electromagnetic interference on the antenna under the model of the nose radome of the aircraft by using an artificial thunderstorm cell." Technical Physics Letters 48, no. 14 (2022): 42. http://dx.doi.org/10.21883/tpl.2022.14.52058.18871.

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The paper presents the results of physical modeling of the effect of solid and segmented lightning diverter strips on the spectrum of electromagnetic interference on the antenna under the model of the aircraft nose radome under the influence of an artificial thunderstorm cell. It is shown that the use of segmented lightning diverter strips leads to appearance of signals with frequencies up to a few gigahertz in the spectrum on the antenna. The relationship between the antenna signal spectrum and spectral characteristics of current pulses on the lightning diverter strip is established. The influence of discharges along the radome surface and those between the segments on the electromagnetic interference spectrum on the antenna under the radome has been revealed. Keywords: lightning, solid and segmented lightning diverter strips, model of aircraft nose radome, artificial thunderstorm cell, wavelet spectrum, discharge.

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Wu, Shao Chen, Hai Sheng Liu, and Fu Liang Deng. "Segmented Auxiliary Power Model Based on Particle Swarm Optimization." Advanced Materials Research 1044-1045 (October 2014): 1321–24. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1321.

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The traditional modeling approach of auxiliary power is the least squares method, however, accuracy of the traditional least squares method is not high in fitting and forecasting, so we introduced segmentation method of least squares model, and consider the impact of many factors on the model ,proposed the improved least square method based on PSO. Application prove this method has a better fitting precision and predicition accuracy.

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Liu, Peng, Dong Dong You, and Wei Ming Zhou. "Segmented Optimization Design of Aluminum Alloy Goal Crossbar Based on FEM." Advanced Materials Research 652-654 (January 2013): 1494–98. http://dx.doi.org/10.4028/www.scientific.net/amr.652-654.1494.

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Aluminum alloy goal crossbar (crossbar for short) as an essential part of soccer goals, according to practical needs, needs to be designed in other ways. So the segmented optimization design of crossbar has been proposed.This paper proposes that cut off crossbar from the middle first, then use an iron core turning the segmented crossbar into a whole part again when used. By means of parametric modeling in AutoCAD and SolidWorks and finite element analysis in MARC, the feasibility of the optimization design has been demonstrated. Finally, the paper comes to a conclusion via the way of experimental test.

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Wang, Yi Hong, Jun Chen, and Shi Feng Tao. "Wavelet Fusion Application in Water Quality Warning Based on Bio-Detection Technology." Applied Mechanics and Materials 295-298 (February 2013): 924–27. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.924.

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In water quality early warning system based on the abnormal behavior of fish, the core technology is building the fish movement model and obtaining the movement parameter based on this model. The fish body image accurate segmentation is the key to the implementation of this core technique. The single edge detection method can not accurately detect fish all edges. In the paper, the proposed solution is that the original image is firstly segmented by Canny operator and Log operator respectively and then the two segmented images are fused based on the wavelet transform. The fused image will obtain more complete target information from the two segmented images. The fish image acquired by the machine vision is processed according to the idea. The result shows that this method can obtain better edge detection effect. It will provide technical support for the live fish movement modeling.

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