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Journal articles on the topic 'Segmented modeling'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Abraham, G. A., and T. R. Cuadrado. "Modeling of Segmented Polyurethane Drying Process." International Polymer Processing 13, no. 4 (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 (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 (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 analyt

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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,

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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 (2020): 905–12. http://dx.doi.org/10.5515/kjkiees.2020.31.11.905.

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

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Sadia, Farhana, Sarah Boyd, and Jonathan M. Keith. "Bayesian change-point modeling with segmented ARMA model." PLOS ONE 13, no. 12 (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 (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 (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

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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 2

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

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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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Wang, Changfa, Tuo Yao, and Qinghua Yang. "Multi-Scale Indoor Scene Geometry Modeling Algorithm Based on Segmentation Results." Applied Sciences 13, no. 21 (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, t

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Chen, Xin, Victor Taracila, Timothy Eagan, et al. "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

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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 (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 result

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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 (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 meta

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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 (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 miniat

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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 (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 tempe

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

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Chen, Lue, Jinsong Ping, Jianfeng Cao, et al. "Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling." Remote Sensing 13, no. 14 (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 parti

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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 (2013): 052903. http://dx.doi.org/10.1063/1.4804336.

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22

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 (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 (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 fi

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24

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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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 (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

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26

Vannest, Jeremiah, and Julia Zhang. "Partially Segmented Permanent-Magnet Losses in Interior Permanent-Magnet Motors." Energies 18, no. 11 (2025): 2879. https://doi.org/10.3390/en18112879.

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Permanent-magnet losses in interior permanent-magnet (IPM) motors can result in high magnet temperatures and potential demagnetization. This study investigates using partially segmented magnets as an alternative to traditional segmented magnets to reduce these losses. Partial segmentation involves cutting slots into the magnet to redirect the eddy current path and reduce losses. The research explores analytical and finite element modeling of eddy current losses in partially segmented magnets in IPM machines. Various configurations and orientations of partial segmentation were examined to asses

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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 (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 d

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Zhao, Kailun, Liuxing Song, Dewei Sun, et al. "Design and Research of Large-Scale Curvature Adjustment Optical Mirror." Photonics 12, no. 4 (2025): 338. https://doi.org/10.3390/photonics12040338.

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This study introduces an optimization design method for large-scale curvature-adjustable optical mirrors, innovatively integrating parametric modeling with the optimized layout of actuators, targeting the achievement of extensive curvature adjustability and high-precision surface correction for segmented mirrors. The optimization objective is based on the surface figure residual when the curvature radius of the segmented mirror is altered by 100 mm. Through the optimization of the number, arrangement, and thickness of reinforcement ribs of the actuators on the back of the segmented mirror, a p

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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 (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 J

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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 p

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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 (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 sus

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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 (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,

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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 techniqu

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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 (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), i

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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 (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 tr

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Störkle, Johannes, Luzia Hahn, and Peter Eberhard. "Simulation of segmented mirrors with adaptive optics." Advanced Optical Technologies 8, no. 2 (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 distur

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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 (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 qu

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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 (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. Th

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Temnikov A. G., Chernensky L. L., Orlov A. V., et al. "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 infl

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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 experimen

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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 (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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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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Xu, Zimin, Guoli Wang, and Xuemei Guo. "Online Activity Recognition Combining Dynamic Segmentation and Emergent Modeling." Sensors 22, no. 6 (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

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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 th

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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 (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 (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 (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 (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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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 (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), carburi

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