Journal articles: 'Theoretical matching model'

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Miller, Norman, William C. Pedersen, Mitchell Earleywine, and Vicki E. Pollock. "A Theoretical Model of Triggered Displaced Aggression." Personality and Social Psychology Review 7, no. 1 (February 2003): 75–97. http://dx.doi.org/10.1207/s15327957pspr0701_5.

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A tit-for-tat matching rule (Axelrod, 1984) describes much interpersonal behavior. Yet, in daily lift a retaliatory aggressive response to a trivially mild provocation often inappropriately exceeds that expected from the matching rule. The concept of triggered displaced aggression can explain these exceptions to the matching principle. Building from the Cognitive Neoassociationistic model of aggressive behavior (Berkowitz, 1989, 1990, 1993), we developed a theoretical framework of social and personality factors that moderate and mediate the disjunctively escalated retaliation that can result from triggered displaced aggression. Major explanatory factors in our analysis of such effcts are as follows: (a) aspects of the Time 1 provocation and the immediate situation in which it occurred; (b) characteristics of initial provocations and personality factors of the actor that produce the ruminative thought that will temporally extend the effects of a Time 1 provocation, allowing them to interact with a delayed Time 2 minor triggering event; and (c) actions and attributes of the target of displaced aggression that augment these effects.

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REITSMA-STREET, MARGE, and ALAN W. LESCHIED. "The Conceptual-Level Matching Model in Corrections." Criminal Justice and Behavior 15, no. 1 (March 1988): 92–108. http://dx.doi.org/10.1177/0093854888015001008.

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The Conceptual-Level Matching Model (CLMM) is reviewed with a focus to its application in the development of treatment/rehabilitation programs with offender groups. The CLMM is a theoretical model describing outcomes from hypothesized interactions between a person variable, conceptual level, in interaction with differing types of environments described in terms of structure. Reliability and validity of both CL and the matching model are presented with emphasis given to a review of studies involved with CL and offender groups. On both theoretical and empirical grounds, the CLMM holds considerable promise as a means of organizing offender programs to elicit optimum effectiveness from existing resources.

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Huang, Hao, Yide Liu, and Dong Lu. "Proposing a model for evaluating market efficiency of OTAs: Theoretical approach." Tourism Economics 26, no. 6 (June 21, 2019): 958–75. http://dx.doi.org/10.1177/1354816619853114.

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As one of the most popular exchange intermediary for travel products, the online travel agencies (OTAs) compete fiercely. Previous studies on the OTA market efficiency focus on the travel product prices and distribution channels competition, but contradictions and paradoxes can be found between the theoretical explanations and empirical results. This article proposed a theoretical model by identifying two determinants of the OTA market efficiency: the matching ability and market size. The study shows that (1) the matching ability improves the market efficiency by enlarging the market size and increasing the effective range of competition; (2) the comparative advantage in matching ability of one OTA will lead to the efficiency occupation of other OTAs; and that (3) new OTAs or long tail travel products may reduce market efficiency, but it provides the opportunity to reconstruct the traditional industrial chain. This study enriches the economic theory of OTA and provides commercial guides for practice.

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McGloin, Rory, Joe A. Wasserman, and Andy Boyan. "Model Matching Theory: A Framework for Examining the Alignment between Game Mechanics and Mental Models." Media and Communication 6, no. 2 (June 7, 2018): 126–36. http://dx.doi.org/10.17645/mac.v6i2.1326.

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The primary aim of this article is to provide a comprehensive review and elaboration of model matching and its theoretical propositions. Model matching explains and predicts individuals’ outcomes related to gameplay by focusing on the interrelationships among games’ systems of mechanics, relevant situations external to the game, and players’ mental models. Formalizing model matching theory in this way provides researchers a unified explanation for game-based learning, game performance, and related gameplay outcomes while also providing a theory-based direction for advancing the study of games more broadly. The propositions explicated in this article are intended to serve as the primary tenets of model matching theory. Considerations for how these propositions may be tested in future games studies research are discussed.

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Chao, Zhong, Wang Likun, Qin Lei, Sun Shaoping, and Li Xing. "The theoretical model of 1–3 piezocomposite transducer with matching layer." Ferroelectrics 554, no. 1 (January 2, 2020): 97–103. http://dx.doi.org/10.1080/00150193.2020.1717273.

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Lisi, Gaetano, and Mauro Iacobini. "Estimating the housing price with a search-and-matching model." Journal of European Real Estate Research 8, no. 2 (August 3, 2015): 196–216. http://dx.doi.org/10.1108/jerer-09-2014-0035.

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Purpose – This paper aims to pose an important starting point for the application of the search-and-matching models to real estate appraisals, thus reducing the “gap” between practitioners and academicians. Due to relevant trading frictions, the search-and-matching framework has become the benchmark theoretical model of the housing market. Starting from the large related literature, this paper develops a simplified approach to modelling the frictions that focuses on the direct relationship between house price and market tightness (a common feature only for the labour market matching models). The characterization of the equilibrium through two main variables simplifies the analysis and allows using the theoretical model for empirical purposes, namely, the real estate appraisals. Design/methodology/approach – This work is both theoretical and empirical. Theoretically, a long-run equilibrium model with a positive share of vacant houses and home seekers is determined along with price and market tightness. Also, the conditions of existence and uniqueness of the steady-state equilibrium are determined. Unlike most of the search-and-matching models in the housing literature, the out-of-the steady-state dynamics are also analyzed to show the stability of the equilibrium. Empirically, to show the usefulness of the theoretical model, a numerical simulation is performed. By using two readily available housing market data – the expected time on the market and the average number of trades – it is possible to determine the key variables of the model: price, market tightness and matching opportunities for both buyers and sellers. Although the numerical simulation concerns the Italian housing market, the proposed model is generally valid, being empirically applicable to all real estate markets characterized by non-negligible trading frictions. Indeed, the proposed model can be used to compare housing markets with different features (concerning the search and matching process), as well as analyse the same housing market in different time periods (because the efficiency of the search and matching process can change). Findings – Several important results are obtained. First, the price adjustment – i.e. the difference between the actual selling price and the price obtained in an ideal situation of frictionless housing market – is remarkable. This means that the sign and the size of the price adjustment depend on the extent of trading frictions in the housing market. Precisely, the higher the trading frictions on the demand side (more buyers and less sellers), the higher the actual selling price (the price adjustment is positive), whereas the higher the trading frictions on the supply side (less buyers and more sellers), the lower the actual selling price (the price adjustment is negative). Accordingly, the real estate appraisers should assess the trading frictions in the housing market before determining the price adjustment. Second, an increase in the number of trades affects the house price only if the time on the market varies. Also, the higher the variation in the time on the market, the larger the house price adjustment. Indeed, the expected time on the market reflects the opportunities to matching for both parties and thus the trading frictions. If the time on the market increases (decreases), the seller will receive less (more) opportunities to match; thus, the actual selling price will be driven downwards (upwards). Originality/value – As far as the authors are aware, none of the existing works in the search and matching literature has considered how to take advantage of this theoretical approach to estimate the house price in the presence of trading frictions in the housing market. Indeed, the proposed theoretical model may be a useful tool for real estate appraisers, as it is able to derive the trading frictions from the time on the market and the number of trades, thus estimating properly the house price.

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Lisi, Gaetano. "The Mortensen-Pissarides model and the empirical facts of housing markets." Journal of European Real Estate Research 14, no. 2 (May 7, 2021): 259–71. http://dx.doi.org/10.1108/jerer-07-2020-0044.

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Purpose This paper aims to explain the main empirical facts of housing markets, notably the trade-off between housing price and time-on-the-market, the positive correlation between housing price and the number of contracts traded during a given period (i.e. the trading volume) and the existence of price dispersion. Design/methodology/approach This theoretical paper makes use of a search and matching model. Search and matching, indeed, are two fundamental characteristics of the trading process in the housing market, and, thus, the search-and-matching models have become the new economic approach to the analysis of real estate markets. Findings This paper shows that a slightly modified version of the baseline search and matching model à la Mortensen-Pissarides can explain the main empirical facts of housing markets. There are two key mechanisms that allow to achieve this notable goal: a simple formalisation of the (reasonable) assumption that buyers today are potential sellers tomorrow (and vice versa); and the direct relationship between market tightness and house price, derived by the standard matching model and underestimated by the related literature. Research limitations/implications The developed theoretical model only studies the equilibrium conditions. Indeed, it would be interesting to also study the disequilibrium in housing markets. Practical implications The explanation of the main empirical facts of housing markets is embodied in the same and relatively simple theoretical model. Originality/value In addition to the explanation of the main empirical facts of housing markets, the developed theoretical model can generate an upward sloping Beveridge curve in the housing market (the positive relation between home-seekers and vacant houses). Instead, according to a recent criticism in the related literature, a model à la Mortensen-Pissarides inherently generates a (empirically unrealistic) downward sloping Beveridge curve.

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Zhang, Liu Yang, Yu Jiang Liu, and Jin Zhe Huang. "The Optical Design of Achromatic Phase Matching System Based on ZEMAX." Advanced Materials Research 981 (July 2014): 774–77. http://dx.doi.org/10.4028/www.scientific.net/amr.981.774.

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The system of achromatic phase matching (APM) based on grating pairs is designed by the commercial optical design software ZEMAX. Firstly, we theoretically calculate the theoretical incident angular where each frequency components exactly reaches the phase-matching in nonlinear crystals. Subsequently, the model of APM system is built and optimized in ZEMAX. The results are well in accordance with the theoretical ones. In addition, the effects of grating frequency and aberration produced by the focus lens on APM scheme are analyzed.

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Garcia Iglesias, Daniel. "Propensity Score Matching Underestimates Real Treatment Effect, in a Simulated Theoretical Multivariate Model." Mathematics 10, no. 9 (May 5, 2022): 1547. http://dx.doi.org/10.3390/math10091547.

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Propensity Score Matching (PSM) is a useful method to reduce the impact of Treatment-Selection Bias in the estimation of causal effects in observational studies. After matching, the PSM significantly reduces the sample under investigation, which may lead to other possible biases (due to overfitting, excess of covariation or a reduced number of observations). In this sense, we wanted to analyze the behavior of this PSM compared with other widely used methods to deal with non-comparable groups, such as the Multivariate Regression Model (MRM). Monte Carlo Simulations are made to construct groups with different effects in order to compare the behavior of PSM and MRM estimating these effects. In addition, the Treatment Selection Bias reduction for the PSM is calculated. With the PSM a reduction in the Treatment Selection Bias is achieved (0.983 [0.982, 0.984]), with a reduction in the Relative Real Treatment Effect Estimation Error (0.216 [0.2, 0.232]), but despite this bias reduction and estimation error reduction, the MRM reduces this estimation error significantly more than the PSM (0.539 [0.522, 0.556], p < 0.001). In addition, the PSM leads to a 30% reduction in the sample. This loss of information derived from the matching process may lead to another not known bias and thus to the inaccuracy of the effect estimation compared with the MRM.

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Fregly, Benjamin J., Haseeb A. Rahman, and Scott A. Banks. "Theoretical Accuracy of Model-Based Shape Matching for Measuring Natural Knee Kinematics with Single-Plane Fluoroscopy." Journal of Biomechanical Engineering 127, no. 4 (January 27, 2005): 692–99. http://dx.doi.org/10.1115/1.1933949.

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Quantification of knee motion under dynamic, in vivo loaded conditions is necessary to understand how knee kinematics influence joint injury, disease, and rehabilitation. Though recent studies have measured three-dimensional knee kinematics by matching geometric bone models to single-plane fluoroscopic images, factors limiting the accuracy of this approach have not been thoroughly investigated. This study used a three-step computational approach to evaluate theoretical accuracy limitations due to the shape matching process alone. First, cortical bone models of the femur, tibia/fibula, and patella were created from CT data. Next, synthetic (i.e., computer generated) fluoroscopic images were created by ray tracing the bone models in known poses. Finally, an automated matching algorithm utilizing edge detection methods was developed to align flat-shaded bone models to the synthetic images. Accuracy of the recovered pose parameters was assessed in terms of measurement bias and precision. Under these ideal conditions where other sources of error were eliminated, tibiofemoral poses were within 2mm for sagittal plane translations and 1.5deg for all rotations while patellofemoral poses were within 2mm and 3deg. However, statistically significant bias was found in most relative pose parameters. Bias disappeared and precision improved by a factor of two when the synthetic images were regenerated using flat shading (i.e., sharp bone edges) instead of ray tracing (i.e., attenuated bone edges). Analysis of absolute pose parameter errors revealed that the automated matching algorithm systematically pushed the flat-shaded bone models too far into the image plane to match the attenuated edges of the synthetic ray-traced images. These results suggest that biased edge detection is the primary factor limiting the theoretical accuracy of this single-plane shape matching procedure.

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AMIR, AMIHOOD. "THEORETICAL ISSUES OF SEARCHING AERIAL PHOTOGRAPHS: A BIRD'S EYE VIEW." International Journal of Foundations of Computer Science 16, no. 06 (December 2005): 1075–97. http://dx.doi.org/10.1142/s0129054105003662.

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We review some pattern matching algorithms and techniques motivated by the discrete theory of image processing. The problem inspiring this research is that of searching an aerial photograph for all appearances of some object. The issues we discuss are digitization, local errors, rotation and scaling. We review deterministic serial techniques that were used for multidimensional pattern matching and discuss their strengths and weaknesses. We introduce the new geometric model that has been recently found to be extremely suitable for the theory of discrete image processing. We introduce some of the new algorithms developed in the geometric model and show their capability of efficiently solving hitherto open problems.

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Brown, Alessio, Christian Merkl, and Dennis Snower. "AN INCENTIVE THEORY OF MATCHING." Macroeconomic Dynamics 19, no. 3 (October 23, 2013): 643–68. http://dx.doi.org/10.1017/s1365100513000527.

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This paper presents a theory of the labor market matching process in terms of incentive-based, two-sided search among heterogeneous agents. The matching process is decomposed into its two component stages: the contact stage, in which job searchers make contact with employers, and the selection stage, in which they decide whether to match. We construct a theoretical model explaining two-sided selection through microeconomic incentives. Firms face adjustment costs in responding to heterogeneous variations in the characteristics of workers and jobs. Matches and separations are described through firms' job offer and firing decisions and workers' job acceptance and quit decisions. Our calibrated model for the United States can account for important empirical regularities, such as the large volatilities of labor market variables, that the conventional matching model cannot.

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Pedrycz, Witold, and Eugene Roventa. "A hierarchical neural model of matching." Information Sciences 78, no. 3-4 (May 1994): 215–27. http://dx.doi.org/10.1016/0020-0255(94)90029-9.

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Zhang Yang, Li Ting, Yuan Xiao-Dong, Xiong Zhao, Xu Xu, Ye Lang, Zhou Hai, and Zhang Bin. "Theoretical model of phase-matching angles for KDP crystals and its verification analysis." Acta Physica Sinica 64, no. 2 (2015): 024213. http://dx.doi.org/10.7498/aps.64.024213.

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Fossum, Kristian, Trond Mannseth, and Andreas S. Stordal. "Assessment of multilevel ensemble-based data assimilation for reservoir history matching." Computational Geosciences 24, no. 1 (December 14, 2019): 217–39. http://dx.doi.org/10.1007/s10596-019-09911-x.

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AbstractMultilevel ensemble-based data assimilation (DA) as an alternative to standard (single-level) ensemble-based DA for reservoir history matching problems is considered. Restricted computational resources currently limit the ensemble size to about 100 for field-scale cases, resulting in large sampling errors if no measures are taken to prevent it. With multilevel methods, the computational resources are spread over models with different accuracy and computational cost, enabling a substantially increased total ensemble size. Hence, reduced numerical accuracy is partially traded for increased statistical accuracy. A novel multilevel DA method, the multilevel hybrid ensemble Kalman filter (MLHEnKF) is proposed. Both the expected and the true efficiency of a previously published multilevel method, the multilevel ensemble Kalman filter (MLEnKF), and the MLHEnKF are assessed for a toy model and two reservoir models. A multilevel sequence of approximations is introduced for all models. This is achieved via spatial grid coarsening and simple upscaling for the reservoir models, and via a designed synthetic sequence for the toy model. For all models, the finest discretization level is assumed to correspond to the exact model. The results obtained show that, despite its good theoretical properties, MLEnKF does not perform well for the reservoir history matching problems considered. We also show that this is probably caused by the assumptions underlying its theoretical properties not being fulfilled for the multilevel reservoir models considered. The performance of MLHEnKF, which is designed to handle restricted computational resources well, is quite good. Furthermore, the toy model is utilized to set up a case where the assumptions underlying the theoretical properties of MLEnKF are fulfilled. On that case, MLEnKF performs very well and clearly better than MLHEnKF.

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Liu, Ping Li, Heng Xue, Xiang Hai Meng, Hui Liu, and Jian Chong Gao. "Establishing and Solving a Model for Matching Fracturing Fluid Flowback." Advanced Materials Research 548 (July 2012): 641–46. http://dx.doi.org/10.4028/www.scientific.net/amr.548.641.

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Fracturing flowback rate is one of the most important parameters to evaluate fracturing effects. While calculation of fracturing flowback rate is always lack of theoretical model to predict, it is always been solved by accumulation of filed fluid after fracturing finished in oil filed. In order to tackle this problem, a great deal of work has been done to establish a model for solving fracturing flowback rate, in which procedures like fracture closing, fluid loss, formation fluid flows and well bore flow are entirely considered. Based on comprehensive procedures, a few functions are established in this model. The average fracture pressure was calculated by adjusting time that might affect fracture closure degrees. According to wellhead pressure, bottom hole flowing pressure and average fracture pressure which was used to calculate flowback quantity leaded by fracture closure were achieved. Besides, total time that fracture was entirely closed was also achieved after fracture being fully closed, flowback quantity consisted of two parts, fracture and formation. In addition, the model was solved through finite difference method and simulated by Matlab. In comparison with the target result, fracturing flowback rate, the modeling results, are almost identical with that of conventional methods. Therefore, this model can be taken as a reliable theoretical guidance to predict fracturing flowback rate in oil flied.

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Varró, Gergely, Katalin Friedl, and Dániel Varró. "Adaptive Graph Pattern Matching for Model Transformations using Model-sensitive Search Plans." Electronic Notes in Theoretical Computer Science 152 (March 2006): 191–205. http://dx.doi.org/10.1016/j.entcs.2005.10.025.

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Bereg, Sergey, Feifei Ma, Wencheng Wang, Jian Zhang, and Binhai Zhu. "On some matching problems under the color-spanning model." Theoretical Computer Science 786 (September 2019): 26–31. http://dx.doi.org/10.1016/j.tcs.2018.08.008.

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CHEN, BOR-SEN, SHUENN-SHYANG WANG, and HUNG-CHING LU. "Robust stability of perfect model-matching control system." International Journal of Systems Science 20, no. 5 (May 1989): 889–906. http://dx.doi.org/10.1080/00207728908910176.

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Zhang, Wei, and Jian Hua Yao. "Technical Parameters Model of Laser Direct Metal Deposition." Advanced Materials Research 217-218 (March 2011): 1633–36. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.1633.

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This paper was focus on the technical parameters matching model of laser direct metal deposition（DMD）forming. Based on a series of DMD forming experiments, the energy balance equation of laser power, beam radius, powder feeding velocity and scanning velocity was established which could provide a theoretical principle for parameter selection and optimizing.

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Bauer, W. L. "Improving the rowing efficiency through impedance matching-theoretical considerations with a nonlinear dynamic model." Journal of Biomechanics 27, no. 6 (January 1994): 655. http://dx.doi.org/10.1016/0021-9290(94)90945-8.

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Zhao, Hua. "English Language Learning Pattern Matching Based on Distributed Reinforcement Learning." Mathematical Problems in Engineering 2022 (September 7, 2022): 1–8. http://dx.doi.org/10.1155/2022/7876504.

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The rapid development of a new generation of information technology, the promotion of network technology, and the emergence of complex and diverse requirements for control objects make the structure of language learning models more and more distributed. Distributed learning theory emphasizes the central position of learners in the learning process and the universality of learning scenes. This paper explores the significance and value of various learning modes to improve students’ learning effect. By analyzing the research data and explaining various effective language learning models, this paper aims to establish a theoretical framework of English language learning models and explore more effective language model matching schemes. This paper analyzes the adaptive multiagent, reward function, Markov model, probability function model, etc. and conducts experiments on the basis of the designed model. The linear correlation parameters of the model and the English language pattern matching efficiency are analyzed and judged on several important indicators. Because the algorithm designed in this paper has a good effect on the control of error, the error reduction rate has reached 85.6%.

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RAFIL, O., A. LALAOUI, M. TAMINE, and A. KHELIFI. "VIBRATIONAL PROPERTIES OF TWO ISOLATED STEPS: A THEORETICAL MODEL." Surface Review and Letters 09, no. 03n04 (June 2002): 1387–94. http://dx.doi.org/10.1142/s0218625x02003986.

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We investigate the dynamical properties of two isolated steps on the surface. We present the solution of the full dynamical problem arising from the absence of translation symmetry in two dimensions due to extended surface steps on the surface boundary of an insulating substrate. The calculations concern in particular the dynamics of localized modes of an atomic step on the surface of a cubic lattice. The theoretical approach determines the vibrational field in both steps. The matching method, which constitutes a powerful formalism for determining the vibrational properties of such disordered surfaces, is used. The model presented in this study consists of two monatomic steps as the interface between three coupled semi-infinite and single semi-infinite atomic layers. The dynamical properties of the perfect waveguides are presented and calculated numerically. The breakdown of translational symmetry perpendicular to the step edges gives rise to several Raleigh-like branches localized in the neighborhood of the steps. Typical dispersion curves for these modes along the steps are given with their polarization.

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Li, Lingyan, Jiangying An, Yan Li, and Xiaotong Guo. "Multiattribute Supply and Demand Matching Decision Model for Online-Listed Rental Housing: An Empirical Study Based on Shanghai." Discrete Dynamics in Nature and Society 2020 (August 1, 2020): 1–21. http://dx.doi.org/10.1155/2020/4827503.

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The mismatch between the supply and demand of online-listed rental housing (ORH) is an important factor restricting the operational efficiency of online rental service platforms. However, extant literature pays little attention to this problem. This study proposes an ORH multiattribute supply and demand matching decision model based on the perceived utility of matching both sides of this market. The model considers the multiattribute information of ORH, such as area, transportation, rent, room, and interior decoration, and quantifies their perceived utility values based on the theory of disappointment. Thereafter, we construct the matching decision model and verify it for feasibility by applying it to Shanghai’s ORH supply and demand information—our empirical case. The results show that this method can be applied to online rental housing platforms and meet the supply and demand matching requirements to the greatest extent. The constructed model takes into account the perceptions of both supply and demand parties, may promote the effective matching of ORH supply and demand, and bears theoretical implications for the improvement of rental housing matching in ORH platforms.

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Liu, Yong, and Kevin W. Li. "A two-sided matching decision method for supply and demand of technological knowledge." Journal of Knowledge Management 21, no. 3 (May 8, 2017): 592–606. http://dx.doi.org/10.1108/jkm-05-2016-0183.

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Purpose The purpose of this paper is to propose a novel prospect-based two-sided matching decision model for matching supply and demand of technological knowledge assisted by a broker. This model enables the analyst to account for the stakeholders’ psychological behaviours and their impact on the matching decision in an open innovation setting. Design/methodology/approach The prospect theory and grey relational analysis are used to develop the proposed two-sided matching decision framework. Findings By properly calibrating model parameters, the case study demonstrates that the proposed approach can be applied to real-world technological knowledge trading in a market for technology (MFT) and yields matching results that are more consistent with the reality. Research limitations/implications The proposed model does not differentiate the types of knowledge exchanged (established vs novel, tacit vs codified, general vs specialized) (Ardito et al., 2016, Nielsen and Nielsen, 2009). Moreover, the model focuses on incorporating psychological behaviour of the MFT participants and does not consider their other characteristics. Practical implications The proposed model can be applied to achieve a better matching between technological knowledge suppliers and users in a broker-assisted MFT. Social implications A better matching between technological knowledge suppliers and users can enhance the success of open innovation, thereby contributing to the betterment of the society. Originality/value This paper furnishes a novel theoretical model for matching supply and demand in a broker-assisted MFT. Methodologically, the proposed model can effectively capture market participants’ psychological considerations.

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Crampton, G. R. "Labour-Market Search and Urban Residential Structure." Environment and Planning A: Economy and Space 29, no. 6 (June 1997): 989–1002. http://dx.doi.org/10.1068/a290989.

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The application of labour market matching theory to the context of urban spatial variations in vacancies, unemployment, and job search has recently begun to receive research attention. Empirical analysis is very difficult because of the virtual unobservability of job search. Various forms of theoretical study of spatial labour markets are summarised in this paper, together with macroeconomic empirical evidence on labour matching technology. The Cobb—Douglas form of the matching function is applied to a simple linear city model, and theoretical relationships are derived which would be necessary for a static urban labour market equilibrium. A start is made on the theoretical implications of calculating an optimal job search area for individual workers, and a complex integral form of a present value function is obtained.

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Wang, Yani, Jinfang Dong, and Bo Wang. "Feature Matching Optimization of Multimedia Remote Sensing Images Based on Multiscale Edge Extraction." Computational Intelligence and Neuroscience 2022 (June 2, 2022): 1–7. http://dx.doi.org/10.1155/2022/1764507.

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In order to solve the problem of low efficiency of image feature matching in traditional remote sensing image database, this paper proposes the feature matching optimization of multimedia remote sensing images based on multiscale edge extraction, expounds the basic theory of multiscale edge, and then registers multimedia remote sensing images based on the selection of optimal control points. In this paper, 100 remote sensing images with a size of 3619 ∗ 825 with a resolution of 30 m are selected as experimental data. The computer is configured with 2.9 ghz CPU, 16 g memory, and i7 processor. The research mainly includes two parts: image matching efficiency analysis of multiscale model; matching accuracy analysis of multiscale model and formulation of model parameters. The results show that when the amount of image data is large, feature matching takes more time. With the increase of sampling rate, the amount of image data decreases rapidly, and the feature matching time also shortens rapidly, which provides a theoretical basis for the multiscale model to improve the matching efficiency. The data size is the same, 3619 × 1825, which makes the matching time between images have little difference. Therefore, the matching time increases linearly with the increase of the number of images in the database. When the amount of image data in the database is large, a higher number of layers should be used; when the amount of image data in the database is small, the number of layers of the model should be reduced to ensure the accuracy of matching. The availability of the proposed method is proved.

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Ren, Yong, Yucen Luo, and Jun Zhu. "Improving Generative Moment Matching Networks with Distribution Partition." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 9403–10. http://dx.doi.org/10.1609/aaai.v35i11.17133.

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Generative moment matching networks (GMMN) present a theoretically sound approach to learning deep generative mod-els. However, such methods are typically limited by the high sample complexity, thereby impractical in generating complex data. In this paper, we present a new strategy to train GMMN with a low sample complexity while retaining the theoretical soundness. Our method introduces some auxiliary variables, whose values are provided by a pre-trained model such as an encoder network in practice. Conditioned on these variables, we partition the distribution into a set of conditional distributions, which can be effectively matched with a low sample complexity. We instantiate this strategy by presenting an amortized network called GMMN-DP with shared auxiliary variable information for the data generation task, as well as developing an efficient stochastic training algorithm.The experimental results show that GMMN-DP can generate complex samples on datasets such as CelebA and CIFAR-10, where the vanilla GMMN fails.

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Huang, Yi, Jian Mao, James Sheng, Mike Perz, Yang He, Feng Hao, Faqi Liu, et al. "Toward high-fidelity imaging: Dynamic matching FWI and its applications." Leading Edge 42, no. 2 (February 2023): 124–32. http://dx.doi.org/10.1190/tle42020124.1.

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Full-waveform inversion (FWI) is firmly established within our industry as a powerful velocity model building tool. FWI carries significant theoretical advantages over conventional velocity model building methods such as refraction and reflection tomography. Specifically, by solving a nonlinear inverse problem through the wave equation, FWI is able to recover a broadband velocity model containing both high and low spatial wavenumbers, thus extending the approximation of residual moveout correction inherent in traditional velocity model building approaches. Moreover, FWI is capable of inverting information from the entire wavefield (i.e., early arrivals, reflections, refractions, and multiple energy) rather than from a subset as in conventional approaches (i.e., first break and primary reflections), thereby availing itself of more information to better constrain its model estimate. However, these theoretical benefits cannot be realized easily in practice because various complexities of real seismic data often conspire to violate algorithmic assumptions, leading to unsatisfactory results. Dynamic matching FWI (DMFWI) is a newly developed algorithm that solves an inversion problem that maximizes the cross correlation of two dynamically matched data sets — one recorded and the other synthetic. Dynamic matching of the two data sets de-emphasizes the amplitude impact, which allows the algorithm to focus on minimizing their kinematic differences rather than amplitude in the data-fitting process. The multichannel correlation makes the algorithm robust for data with low signal-to-noise ratio. Applications of DMFWI across different types of acquisition and geologic settings demonstrate that this novel FWI approach can resolve complex velocity errors and provide high-quality migrated images that exhibit a high degree of geologic plausibility. Additionally, reflectivity images can be obtained in a straightforward manner as natural byproducts through computation of the directional derivative of the inverted FWI velocity models.

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Wan, Fei, Graham A. Colditz, and Siobhan Sutcliffe. "Matched Versus Unmatched Analysis of Matched Case-Control Studies." American Journal of Epidemiology 190, no. 9 (March 9, 2021): 1859–66. http://dx.doi.org/10.1093/aje/kwab056.

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Abstract Although the need for addressing matching in the analysis of matched case-control studies is well established, debate remains as to the most appropriate analytical method when matching on at least 1 continuous factor. We compared the bias and efficiency of unadjusted and adjusted conditional logistic regression (CLR) and unconditional logistic regression (ULR) in the setting of both exact and nonexact matching. To demonstrate that case-control matching distorts the association between the matching variables and the outcome in the matched sample relative to the target population, we derived the logit model for the matched case-control sample under exact matching. We conducted simulations to validate our theoretical conclusions and to explore different ways of adjusting for the matching variables in CLR and ULR to reduce biases. When matching is exact, CLR is unbiased in all settings. When matching is not exact, unadjusted CLR tends to be biased, and this bias increases with increasing matching caliper size. Spline smoothing of the matching variables in CLR can alleviate biases. Regardless of exact or nonexact matching, adjusted ULR is generally biased unless the functional form of the matched factors is modeled correctly. The validity of adjusted ULR is vulnerable to model specification error. CLR should remain the primary analytical approach.

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Abualola, Huda, Hadi Otrok, Hassan Barada, Mahmoud Al-Qutayri, and Yousof Al-Hammadi. "Matching game theoretical model for stable relay selection in a UAV-assisted internet of vehicles." Vehicular Communications 27 (January 2021): 100290. http://dx.doi.org/10.1016/j.vehcom.2020.100290.

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Fowler, Patrick W., Barry T. Pickup, and Tsanka Z. Todorova. "A graph-theoretical model for ballistic conduction in single-molecule conductors." Pure and Applied Chemistry 83, no. 8 (April 27, 2011): 1515–28. http://dx.doi.org/10.1351/pac-con-10-10-16.

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The tight-binding version of the source-and-sink potential (SSP) model of ballistic conduction can be cast in a graph-theoretical form where the transmission through a molecular wire depends on four characteristic polynomials: those of the molecular graph and the vertex-deleted subgraphs with one or both of the molecular vertices contacting the electrodes removed. This gives an explicit function for the dependence of transmission on energy, one that is well adapted for qualitative description of general classes of conductors and conduction behavior. It also leads directly to a selection-rule criterion for conduction in terms of counting zero roots of the polynomials, which for benzenoids and graphenes is shown to subsume literature approaches based on Kekulé structure counting, bond order, and frontier-orbital matching. As explicitly demonstrated here, the SSP transmission function agrees with that derived by the Green’s function (GF) method.

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Mao, Peng Jun, Wen Jie Gao, Shui Liang Li, Chun Yan Hu, and Fu Zhang. "Research on Traction Characteristics Model of High-Powered Tractor." Applied Mechanics and Materials 143-144 (December 2011): 79–84. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.79.

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Through an analysis of tractor traction balance, a mathematical model which can easily calculate the traction force and efficiency of tractors under different operating conditions was built up, this model offers a basis for tractor-implement matching. Bases on above analyses, the best efficiency rating value was deduced and the traction characteristic curve was also plotted, this study provides a theoretical basis for tractor traction characteristic research.

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Li, Qiang, Hongxin Zhang, Yang Lu, Tianyi Zheng, and Yinghua Lv. "A new method for path-loss modeling." International Journal of Microwave and Wireless Technologies 11, no. 08 (February 22, 2019): 739–46. http://dx.doi.org/10.1017/s1759078719000084.

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AbstractIn this paper, a new path-loss model for electromagnetic wave in an indoor multipath environment is proposed based on matching coefficient, polarization matching factor, and normalized field intensity direction function. This model is called the Friis-extension (Friis-EXT) model, because it operates as the Friis model under certain conditions. In addition, in the modeling process of the path-loss in an indoor environment, the reflective surfaces in the environment and form of the antenna are considered. Afterwards, the path-loss data in an indoor corridor environment are measured, and the maximum error between the theoretical value and the measured data is <7.5 dB. Finally, the Friis-EXT model is compared with some other traditional models, and the results show that the Friis-EXT model is the best one that matches the measurement data.

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Zhang, Hong Yan, Cheng Wang, Yan Jun Li, and Yong Ming Feng. "Analysis of the Matching Performance of Supercharged Boiler and Turbocharged Set." Advanced Materials Research 354-355 (October 2011): 842–46. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.842.

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Based on the supercharged boiler thermodynamic calculation method and turbocharged set characteristic calculation method, an integrated model used for studying the matching performance was built, and then the matching performance calculation program chart was made. Taking a type of marine supercharged boiler as the research object, the matching performance of supercharged boiler and turbocharged set, which was changed with excess air coefficient, was studied under different loads. The model is proved correct and effective by the comparison of the design value and calculation value. The analysis results can provide a strong technology support to the supercharged boiler set’s optimized design and safety operation, which means theoretical and practical significance

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Kozlov, V., and A. Maysuradze. "A NOVEL APPROACH FOR PART BASED OBJECT MATCHING USING DISTANCE METRIC LEARNING WITH GRAPH CONVOLUTIONAL NETWORKS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-2/W1-2021 (April 15, 2021): 149–54. http://dx.doi.org/10.5194/isprs-archives-xliv-2-w1-2021-149-2021.

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Abstract. Part-based object representation and part matching problem often appear in various areas of data analysis. A special case of particular interest is when parts are not fully separated, but in relations with each other. The natural way to model such objects are graphs, and part matching problem becomes graph matching problem. Over the years, many methods to solve graph matching problems have been proposed, but it remains relevant due to its complexity. We propose a novel approach to solving graph matching problem based on learning distance metric on graph vertices. We empirically demonstrate that our method outperforms traditional methods based on solving quadratic assignment problem. We also provide an theoretical estimation of computational complexity of proposed method.

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Yang, Li, Yuhui Wang, and Haixia Li. "Research on the Disease Intelligent Diagnosis Model Based on Linguistic Truth-Valued Concept Lattice." Complexity 2021 (May 13, 2021): 1–11. http://dx.doi.org/10.1155/2021/6630077.

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Uncertainty natural language processing has always been a research focus in the artificial intelligence field. In this paper, we continue to study the linguistic truth-valued concept lattice and apply it to the disease intelligent diagnosis by building an intelligent model to directly handle natural language. The theoretical bases of this model are the classical concept lattice and the lattice implication algebra with natural language. The model includes the case library formed by patients, attributes matching, and the matching degree calculation about the new patient. According to the characteristics of the patients, the disease attributes are firstly divided into intrinsic invariant attributes and extrinsic variable attributes. The calculation algorithm of the linguistic truth-valued formal concepts and the constructing algorithm of the linguistic truth-valued concept lattice based on the extrinsic attributes are proposed. And the disease bases of the different treatments for different patients with the same disease are established. Secondly, the matching algorithms of intrinsic attributes and extrinsic attributes are given, and all the linguistic truth-valued formal concepts that match the new patient’s extrinsic attributes are found. Lastly, by comparing the similarity between the new patients and the matching formal concepts, we calculate the best treatment options to realize the intelligent diagnosis of the disease.

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Xu, Pan, Yexuan Shi, Hao Cheng, John Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, and Leonidas Tsepenekas. "A Unified Approach to Online Matching with Conflict-Aware Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 2221–28. http://dx.doi.org/10.1609/aaai.v33i01.33012221.

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Online bipartite matching and allocation models are widely used to analyze and design markets such as Internet advertising, online labor, and crowdsourcing. Traditionally, vertices on one side of the market are fixed and known a priori, while vertices on the other side arrive online and are matched by a central agent to the offline side. The issue of possible conflicts among offline agents emerges in various real scenarios when we need to match each online agent with a set of offline agents.For example, in event-based social networks (e.g., Meetup), offline events conflict for some users since they will be unable to attend mutually-distant events at proximate times; in advertising markets, two competing firms may prefer not to be shown to one user simultaneously; and in online recommendation systems (e.g., Amazon Books), books of the same type “conflict” with each other in some sense due to the diversity requirement for each online buyer.The conflict nature inherent among certain offline agents raises significant challenges in both modeling and online algorithm design. In this paper, we propose a unifying model, generalizing the conflict models proposed in (She et al., TKDE 2016) and (Chen et al., TKDE 16). Our model can capture not only a broad class of conflict constraints on the offline side (which is even allowed to be sensitive to each online agent), but also allows a general arrival pattern for the online side (which is allowed to change over the online phase). We propose an efficient linear programming (LP) based online algorithm and prove theoretically that it has nearly-optimal online performance. Additionally, we propose two LP-based heuristics and test them against two natural baselines on both real and synthetic datasets. Our LP-based heuristics experimentally dominate the baseline algorithms, aligning with our theoretical predictions and supporting our unified approach.

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Yang, Jung-Min, Dong-Eun Lee, and Seong-Jin Park. "Coordinated corrective control for model matching of asynchronous sequential machines." International Journal of Systems Science 51, no. 15 (August 13, 2020): 2899–908. http://dx.doi.org/10.1080/00207721.2020.1803440.

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Zhao, Chang, Wei Sun, Xiaorui Zhang, Xiaozheng He, Jun Zuo, and Wei Zhao. "Feature Matching Combining Variable Velocity Model with Reverse Optical Flow." Computer Systems Science and Engineering 45, no. 2 (2023): 1083–94. http://dx.doi.org/10.32604/csse.2023.032786.

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HIRAKU, Norikazu, and Shoju TONISHI. "Successful Learning by Matching a Simulation based on the Theoretical Model of Moon Phases and Observations." Journal of Research in Science Education 63, no. 1 (July 31, 2022): 53–60. http://dx.doi.org/10.11639/sjst.b21013.

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Xie, Yanxi, Yuewen Li, Victor Shi, and Quan Lu. "An Orthogonal Matching Pursuit Variable Screening Algorithm for High-Dimensional Linear Regression Models." Scientific Programming 2022 (August 1, 2022): 1–12. http://dx.doi.org/10.1155/2022/6446903.

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Variable selection plays an important role in data mining. It is crucial to filter useful variables and extract useful information in a high-dimensional setup when the number of predictor variables d tends to be much larger than the sample size n . Statistical inferences can be more precise after irrelevant variables are moved out by the screening method. This article proposes an orthogonal matching pursuit algorithm for variable screening under the high-dimensional setup. The proposed orthogonal matching pursuit method demonstrates good performance in variable screening. In particular, if the dimension of the true model is finite, OMP might discover all relevant predictors within a finite number of steps. Throughout theoretical analysis and simulations, it is confirmed that the orthogonal matching pursuit algorithm can identify relevant predictors to ensure screening consistency in variable selection. Given the sure screening property, the BIC criterion can be used to practically select the best candidate from the models generated by the OMP algorithm. Compared with the traditional orthogonal matching pursuit method, the resulting model can improve prediction accuracy and reduce computational cost by screening out the relevant variables.

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Egorov, Yuriy V. "Development of theoretical approaches to pricing in freight rail in the XX–the beginning of XXI centuries." Transportation Systems and Technology 6, no. 4 (December 30, 2020): 113–26. http://dx.doi.org/10.17816/transsyst202064113-126.

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Background: large-scale plans for the development of Russia's transport infrastructure, including the railroad, require revision and improvement of the modern tariff system; the latter is unthinkable without improving the existing theoretical approaches to pricing in freight rail transport. Aim: development of classification criteria for the evolution of theoretical approaches to pricing in freight rail transport in the XXearly XXI centuries on the basis of the most significant works on this topic; modelling the matching of the current stage of development of these theoretical approaches to modern scientific approaches of determining the economic category "price". Methods: comparative, analysis, synthesis, system approach. Results: we developed a chronological classification of theoretical approaches to pricing in freight rail transport in the XXearly XXI centuries. (with the identification of the correspondence of the stages of development of the theory to the periods of development of railway transport), a classification of the current stage of development of these approaches in the main directions of development, and the model of the matching of the elements of the classification of the current stage of development of these approaches to modern scientific approaches to determining the economic category "price". Conclusion: the developed classifications and the matching model can be used in the future to improve the existing theoretical approaches to pricing in freight rail transport, to develop fundamentally new similar approaches and methods of their application in pricing in practice.

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Moghimikheirabadi, Ahmad, Leonard M. Sagis, and Patrick Ilg. "Effective interaction potentials for model amphiphilic surfactants adsorbed at fluid–fluid interfaces." Physical Chemistry Chemical Physics 20, no. 23 (2018): 16238–46. http://dx.doi.org/10.1039/c8cp01632a.

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Ma, Zhi Peng, Xing Yu Zhao, Fu Jun Wang, and Da Wei Zhang. "Design of a Direct-Drive XY Table System: Electromechanical and Dynamic Optimization." Materials Science Forum 697-698 (September 2011): 813–16. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.813.

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This paper presents the electromechanical system modeling of a direct-drive precision positioning XY table used for wire bonding. The XY table is directly driven by voice coil actuator (VCA) and therefore the equivalent circuit of VCA was built to construct the co-simulation platform of electromechanical system. By use of finite element analysis (FEA) and co-simulation method based on ADAMS and MATLAB/SIMULINK software, the spring as the key component in the decoupling mechanism was optimized and the matching law of stiffness and preload was given. The mechanical model of decoupling mechanism was then built up and the matching law was validated by theoretical analysis. The damp-spring-mass system of y-axis table further illustrated the matching law. For the complex electromechanical coupling system, the method of co-simulation could reflect the actual properties of system better compared with the oversimplified analytical model. The achieved results would be helpful to the dynamic design of the kind of manufacturing equipment and provide theoretical guidance for the control system development and testing.

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Anwar, Muhammad, Aboul Ella Hassanien, Václav Snás̃el, and Sameh H. Basha. "Subgraph Query Matching in Multi-Graphs Based on Node Embedding." Mathematics 10, no. 24 (December 19, 2022): 4830. http://dx.doi.org/10.3390/math10244830.

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This paper presents an efficient algorithm for matching subgraph queries in a multi-graph based on features-based indexing techniques. The KD-tree data structure represents these nodes’ features, while the set-trie index data structure represents the multi-edges to make queries effectively. The vertex core number, triangle number, and vertex degree are the eight features’ main features. The densest vertex in the query graph is extracted based on these main features. The proposed model consists of two phases. The first phase’s main idea is that, for the densest extracted vertex in the query graph, find the density similar neighborhood structure in the data graph. Then find the k-nearest neighborhood query to obtain the densest subgraph. The second phase for each layer graph, mapping the vertex to feature vector (Vertex Embedding), improves the proposed model. To reduce the node-embedding size to be efficient with the KD-tree, indexing a dimension reduction, the principal component analysis (PCA) method is used. Furthermore, symmetry-breaking conditions will remove the redundancy in the generated pattern matching with the query graph. In both phases, the filtering process is applied to minimize the number of candidate data nodes of the initiate query vertex. The filtering process is applied to minimize the number of candidate data nodes of the initiate query vertex. Finally, testing the effect of the concatenation of the structural features (orbits features) with the meta-features (summary of general, statistical, information-theoretic, etc.) for signatures of nodes on the model performance. The proposed model is tested over three real benchmarks, multi-graph datasets, and two randomly generated multi-graph datasets. The results agree with the theoretical study in both random cliques and Erdos random graph. The experiments showed that the time efficiency and the scalability results of the proposed model are acceptable.

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Gotsman, Errol, Eugene Levin, and Uri Maor. "A comprehensive model of soft interactions in the LHC era." International Journal of Modern Physics A 30, no. 08 (March 18, 2015): 1542005. http://dx.doi.org/10.1142/s0217751x15420051.

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In this review we present our model which is an example of the self-consistent approach that incorporates our theoretical understanding of long distance physics, based both on N = 4 SYM for strong coupling and on the matching with the perturbative QCD approach. We demonstrate how important and decisive the LHC data were on strong interactions which led us to a set of the phenomenological parameters that fully confirmed our theoretical expectations, and produced a new picture of the strong interaction at high energy. We also show how far we have come towards creating a framework for the description of minimal bias events for high energy scattering without generating Monte Carlo codes.

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Li, Shande, Xiaoxun Wu, Jinxiu Duan, Shuai Yuan, Cun Wang, Yane Ma, and Zhifu Zhang. "A Composite Matching Layer with Anti-Reflection Characteristics for Broadband Acoustic Scattering Reduction." Shock and Vibration 2021 (December 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/1480264.

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A composite matching layer composed of periodically arranged scatters with anti-reflection (AR) characteristics is proposed for broadband scattering reduction. The anti-reflection structure is composed of periodically arranged metal foam scatters, and it is the first attempt to be applied in the field of suppressing acoustic reflection. A complete theoretical model is developed to reveal the mechanism of scattering reduction and acoustic absorption based on effective medium theory and the transfer matrix method. The correctness and effectiveness of the theoretical model are verified by the finite element method (FEM), showing acoustic reflectance of less than 13.5% at broadband frequencies. The variation trends of reflectance are deeply investigated. The superior acoustic scattering reduction performance suggests that the matching layer possesses potential for acoustic imaging equipment and acoustic stealth.

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Lv, Ning, Chengyu Wang, Yujing Qiao, and Yongde Zhang. "Dense Robust 3D Reconstruction and Measurement for 3D Printing Process Based on Vision." Applied Sciences 11, no. 17 (August 28, 2021): 7961. http://dx.doi.org/10.3390/app11177961.

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The 3D printing process lacks real-time inspection, which is still an open-loop manufacturing process, and the molding accuracy is low. Based on the 3D reconstruction theory of machine vision, in order to meet the applicability requirements of 3D printing process detection, a matching fusion method is proposed. The fast nearest neighbor (FNN) method is used to search matching point pairs. The matching point information of FFT-SIFT algorithm based on fast Fourier transform is superimposed with the matching point information of AKAZE algorithm, and then fused to obtain more dense feature point matching information and rich edge feature information. Combining incremental SFM algorithm with global SFM algorithm, an integrated SFM sparse point cloud reconstruction method is developed. The dense point cloud is reconstructed by PMVs algorithm, the point cloud model is meshed by Delaunay triangulation, and then the accurate 3D reconstruction model is obtained by texture mapping. The experimental results show that compared with the classical SIFT algorithm, the speed of feature extraction is increased by 25.0%, the number of feature matching is increased by 72%, and the relative error of 3D reconstruction results is about 0.014%, which is close to the theoretical error.

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Lee, Chia-Wei, and Sun-Yuan Hsieh. "Pancyclicity of Matching Composition Networks under the Conditional Fault Model." IEEE Transactions on Computers 61, no. 2 (February 2012): 278–183. http://dx.doi.org/10.1109/tc.2010.229.

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Journal articles on the topic 'Theoretical matching model'

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