Matching Formula Research Articles

Road Traffic Safety Status Analysis and Prediction Based on Dynamic Bayesian Network

Abstract Dynamic Bayesian networks can effectively capture dynamic changes and uncertainty relationships in data. Conventional prediction methods do not consider the temporal characteristics between traffic flow sequences, which affects prediction accuracy. This article proposes a method for analyzing and predicting road traffic safety status based on DBN. Firstly, data matching is performed according to the “case-control” sample structure of the matching formula to minimize the influence of other factors on the modeling of traffic safety status; Secondly, the random forest model is applied to analyze and extract the variable with the highest correlation coefficient as the input variable for the traffic safety status prediction model; Then, a DBN prediction model is established using matched accident traffic flow and non-accident traffic flow sample data; Finally, by analyzing the effectiveness evaluation indicators of the model, multiple prediction results showed that the overall prediction accuracy of the DBN method was over 80%.

Electron-proton relaxation in hot-dense plasmas with a screened quantum statistical potential.

Modeling the nonequilibrium process between ions and electrons is of great importance in laboratory fusion ignition, laser-plasma interaction, and astrophysics. For hot and dense plasmas, theoretical descriptions of Coulomb collisions remain complicated due to quantum effect at short distances and screening effect at long distances. In this paper, we propose an analytical screened quantum statistical potential that takes into account both the short-range quantum diffraction effect and the long-range screening effect. By implementing the newly developed potential into the binary scattering framework, the electron-proton temperature relaxation in hot-dense hydrogen plasmas is investigated. In both the classical and quantum limits, analytical expressions for the Coulomb logarithm have been obtained, which are generally embedded in an asymptotic matching formula. Quantitative comparisons with molecular dynamics simulations and recent OMEGA experiments demonstrate that the present modeling is well suited to describe the temperature relaxation process between electrons and ions in hot-dense plasmas.

Prediction of CPTu static sounding parameters based on DPH dynamic probing heavy test on the example of “the Praski terrace” sands inWarsaw title

This paper attempts to relate the parameters obtained from CPTu static sounding and DPH dynamic test conducted in non-cohesive alluvial deposits of the Vistula River. The investigation was carried out in eight test stations located on the left bank of the Vistula River in Warsaw. The presented theses were based on the results of static CPTU and dynamic DPH tests obtained at 8 test stations. Additionally, in order to associate the obtained sounding results to the lithological type of the tested medium, drillings and grain size analyses were performed. The correlation of the different test methods stems from the need to identify and explain observed discrepancies against the background of different geological conditions, such as moisture content or grain size distribution. The comparative analysis of the parameters obtained from static and dynamic probing, is relevant to the alluvial sediments formed the lower over-flood terrace (called “the Praski terrace”) of Warsaw. Based on the comparison this paper proposes a correlation between the cone penetration resistance the sleeve friction and the number of blows, expressed by the functional relationship. Differences in the matching formulas were shown depending on the saturation of the tested sediments. Correlations were referred to a soil type, which enabled to specify the range of applicability of the proposed relationships. The results of the study were further used to show their diversity using statistical methods. This made it possible to assess the variability of the parameters of the non-cohesive soil, which forms a single lithogenetic unit.

DUNE potential as a new physics probe

Neutrino experiments, in the next years, aim to determine with precision all the six parameters of the three-neutrino standard paradigm. The complete success of the experimental program is, nevertheless, attached to the non-existence (or at least smallness) of Non-Standard Interactions (NSI). In this work, anticipating the data taken from long-baseline neutrino experiments, we map all the weakly coupled theories that could induce sizable NSI, with the potential to be determined in these experiments, in particular DUNE. Once present constraints from other experiments are taken into account, in particular charged-lepton flavor violation, we find that only models containing leptoquarks (scalar or vector) and/or neutral isosinglet vector bosons are viable. We provide the explicit matching formulas connecting weakly coupled models and NSI, both in propagation and production. Departing from the weakly coupled completion with masses at TeV scale, we also provide a global fit on all NSI for DUNE, finding that NSI smaller than 10−2 cannot be probed even in the best-case scenario.

Bead-like flexible ZIF-67-derived Co@Carbon composite nanofibre mat for wideband microwave absorption in C-band

The lightweight and wideband microwave attenuation performance with low-frequency compatibility, has always been desired for advanced microwave absorbing materials. However, most of the current solutions for low-frequency absorption rely on magnetic materials, which is limited by the high-density and narrow absorption bandwidth. Herein, we present a co-electrospinning synthesis strategy to fabricate lightweight and porous Co@C composite nanofibres (Co@CNFs) with bead-like (cubic Co particles embedded in carbon nanofibres) morphology. The continuous and fibrous carbon nanofibres template provides wideband microwave attenuation capacity. And the inserted MOF-derived Co additives further improve the low-frequency absorption performance by inducing magnetic losses, rich interfaces, and enhanced conductivity. The optimized Co@CNFs sample, with a filler loading of only 7.5 wt %, offers the effective absorption bandwidth (EAB) of 3.84 GHz (4.16–8.00 GHz) within C-band at 6.63 mm. At an alternative sample thickness of 2.90 mm, the EAB reaches 6.42 GHz. In addition, the nanofibre mat also demonstrates excellent flexibility according to a 500-time 180° bending test. Furthermore, the broadband absorption matching formula based on the quarter wavelength (λ/4) cancellation theory was also optimized by containing permeability part, which could be served as the guidance for designing lightweight and broadband microwave attenuation fibrous materials that are compatible with low frequency absorption.

Threshold resummation for computing large-x parton distribution through large-momentum effective theory

Parton distribution functions (PDFs) at large x are poorly constrained by high-energy experimental data, but extremely important for probing physics beyond standard model at colliders. We study the calculation of PDFs at large-x through large-momentum Pz expansion of the lattice quasi PDFs. Similar to deep-inelastic scattering, there are two distinct perturbative scales in the threshold limit where the matching coefficient can be factorized into a space-like jet function at scale Pz|1 − y| and a pair of heavy-light Sudakov form factors at scale Pz. The matching formula allows us to derive a full renormalization group resummation of large threshold logarithms, and the result is consistent with the known calculation to the next-to-next to leading order (NNLO). This paves the way for direct large-x PDFs calculations in lattice QCD. As by-products, we find that the space-like jet function is related to a time-like version calculated previously through analytic continuation, and the heavy-light Sudakov form factor, calculated here to NNLO, is a universal object appearing as well in the large momentum expansion of quasi transverse-momentum-dependent PDFs and quasi wave-function amplitudes.

Estimation of Shear Strength Parameters Considering Joint Roughness: A Stability Case Analysis of Bedding Rock Slopes in an Open-Pit Mine

This study aims to fully explore the influence of rock joint roughness in the slope stability analysis of an open mine. Therefore, based on the least squares parameter estimation method, a generalized shear strength parameter coupling roughness, which is used to evaluate a slope design, was established by a matching formula reflecting the relationship between the roughness coefficient and the shear strength parameter. Firstly, to verify and calibrate the model, physical direct shear tests were conducted on serrated rock joints, and the effect of roughness was analyzed qualitatively. The results show that an increase in tooth height increases the internal friction angle but decreases cohesion. Therefore, the rock joint direct shear test numerical model by PFC-2D was established and compared with the physical test curve, effectively verifying its correctness. The relationship between cohesion c and internal friction angle φ with roughness coefficient JRC was further quantified, and the new model was then fitted to characterize the relationship between roughness and shear strength parameters. This method is applied to the design optimization of an open pit mine slope. The new parameters are input to GeoSMA-3D, which is used to search for the key block of a bedding slope on an open-pit mine, to optimize the design of the slope.

Gluon transverse-momentum-dependent distributions from large-momentum effective theory

We demonstrate that gluon transverse-momentum-dependent parton distribution functions (TMDPDFs) can be extracted from lattice calculations of appropriate Euclidean correlations in large-momentum effective theory (LaMET). Based on perturbative calculations of gluon unpolarized and helicity TMDPDFs, we present a matching formula connecting them and their LaMET counterparts, where the latter are renormalized in a scheme facilitating lattice calculations and converted to the overline{textrm{MS}} scheme. The hard matching kernel is given up to one-loop level. We also show that the perturbative result is independent of the prescription used for the pinch-pole singularity in the relevant correlations. Our results offer a guidance for the extraction of gluon TMDPDFs from lattice simulations, and have the potential to greatly facilitate perturbative calculations of the hard matching kernel.

Another Side of Categorical Propositions: The Keynes–Johnson Octagon of Oppositions

The aim of this paper is to make sense of the Keynes–Johnson octagon of oppositions. We will discuss Keynes' logical theory, and examine how his view is reflected on this octagon. Then we will show how this structure is to be handled by means of a semantics of partition, thus computing logical relations between matching formulas with a semantic method that combines model theory and Boolean algebra.

RESEARCH ON THE REGULATION OF MULTI-AGENT'S EMOTION BASED ON MULTI-AGENT'S HETEROGENEOUS GAME PREFERENCE AND BILATERAL PARTNER'S PREFERENCE

Abstract Background The development of virtual enterprise is inseparable from the support of partners. Due to information asymmetry, the choice of virtual enterprise partners is blind, and simple matching formula is difficult to meet. At the same time, the psychology of the matching subject is based on the maximization of its own interests rather than the maximization of collective interests. There are interest contradictions and conflicts between subjects, and they may eventually fall into a “prisoner's dilemma”. Therefore, how to carry out the research on emotion regulation based on multi-agent heterogeneous game preference and bilateral partner preference is very important. Research Objects and Methods Aiming at the contradictions and interest conflicts between subjects in the process of virtual enterprise partner matching, combined with the basic characteristics of subject language preference evaluation, the game idea is introduced into the process of virtual enterprise partner bilateral matching analysis, a bilateral matching game model of heterogeneous multi-attribute preference and subjects' psychological behavior is proposed, and the influence of the changes of subjects' psychological behavior on the evolution law of bilateral matching game system is analyzed, The Nash equilibrium strategy of bilateral matching is discussed. In order to verify the impact of the algorithm on emotion, this study uses relevant scales to investigate. (1) Positive emotion scale. The Panas emotion scale developed by Watson et al. Is widely used to measure emotion. The scale includes two dimensions: positive emotion and negative emotion. There are 6 questions in this dimension, and Likert scores 5 points (1 means “very inconsistent”, 5 means “very consistent”, the same below). The Cronbach coefficient of this questionnaire is 0.90. (2) Motivation. The problem of measuring motivation is mainly the motivation scale compiled by Phan, which has 8 questions and is scored with Likert 5 points. (3) Social support scale. The scale is adapted from the social support scale compiled by Ye Yuemei et al. It has eight questions, using Likert's five points scoring method. Clonbach α the coefficient of the scale is 0.87. (4) Behavioral propensity scale. Propensity dimension in intention measurement. The scale has 6 questions, and Likert scores 5 points. The clonbach coefficient of the scale is 0.95. Results The results of case analysis show that the model can make full use of the multi-attribute preference information of heterogeneous subjects, describe the mechanism of psychological behavior affecting the evolution of game system, and help virtual enterprises match business partners; This has important value and significance for the establishment of virtual enterprises and their industrial agglomeration effect. In the influence process of cooperative anxiety, emotional response plays an intermediary role, psychological elasticity plays a regulatory role, and emotional response to life events plays an intermediary role. That is, the higher the psychological elasticity, the higher the excessive coping style of the game, and vice versa. Conclusion Various stable matching solutions can be obtained by solving the model, and the conclusion is more suitable for the matching decision-making process of both parties in the actual process, which makes the model can be applied to various scenarios, such as the selection of battery suppliers of new energy vehicles and smart phone screen suppliers, which has greater practical value and significance. It should be pointed out that there are some deficiencies in the setting conditions of the model method, mainly because some individuals in the group cooperate to form an alliance, so as to form a community of interests. In the process of game, the individual experience in the group is constrained by more conditions, which makes the results of the model deviate. Acknowledgements Zhejiang Provincial Natural Science Foundation (No. LQ20G010005), Zhejiang Provincial Statistical Science Research Project (NO. 21TJQN15) and Natural Science Fund Project of Huzhou City (No. 2018YZ13)

Key Technology of Mixed Matching Circuit for Miniaturizing Dual-Band Antenna

A mixed matching circuit for miniaturizing dual-band antenna is introduced and verified in this paper. According to the dual-band allocations on the Smith chart, two L-shaped matching circuit for miniaturization are cascaded to interpret the theory of operation. A matching circuit formula is deduced based on a bidirectional matching track from a certain position to the origin point on the Smith chart. Furthermore, a dual-band antenna is taken as an example to illustrate the performance of the novel matching approach for miniaturization. The occupation of a dual-band antenna can be reduced by a quarter at the simultaneous operational frequencies of 2.4 and 5.8 GHz. Finally, a dual-band planar inverted-F antenna (PIFA) is fabricated and measured. The experimental results have a good agreement with those in the simulator.

Variation and Phenetic Relationship of Tobacco (Nicotiana tabacum L.) In Central Java and Yogyakarta Based on Morphological Characters

Tobacco (Nicotiana tabacum L.) is a plant used as a mixture of cigarettes, and recreational media especially for men. This study aimed to identify variations, and determine the relationship between tobacco cultivars in Central Java and Yogyakarta based on macromorphological and micromorphological characters. Sampling locations are determined by surveying locations in both regions. Tobacco samples found include 5 cultivars in Central Java namely 'Mantili', 'Uler Magetan', 'Garut', ‘Gober Boyolali’, 'Manila', and 3 cultivars in Yogyakarta namely 'Siluk', 'Java', and 'Virginia'. Characterization with 23 qualitative macromorphological characters including leaves, and stems, with 9 qualitative and quantitative micromorphological characters including trichome and stomata. Descriptive data analysis is done to obtain the typical character of each cultivar, followed by numerical analysis including scoring characters processed with MVSP (Multi Variate Statistical Package), clustering with UPGMA (Unweighted Pair Group Method with Averages), and calculation of similarity coefficients with Simple matching formula. The results showed variations in the macromorphological characters including the shape of the leaf lamina, the base of the leaf, the absence of leaf stalks, and type of leaf venation. Tobacco has anisositic stomata, and varies in terms of length, width, and density of stomata. Tobacco trichomes are glandular. The result dendrograms form two clusters (A and B) with the similarity index of each cluster above 0.80. Cultivars with close relationships such as 'Siluk'-'Java', and far relationship like 'Java'-'Manila'.

Matching N3LO QCD calculations to parton showers

The search for new interactions and particles in high-energy collider physics relies on precise background predictions. This has led to many advances in combining precise fixed-order cross-section calculations with detailed event generator simulations. In recent years, fixed-order qcd calculations of inclusive cross sections at n3lo precision have emerged, followed by an impressive progress at producing differential results. Once differential results become publicly available, it would be prudent to embed these into event generators to allow the community to leverage these advances. This note offers some concrete thoughts on me+ps matching at third order in qcd. As a method for testing these thoughts, a toy calculation of e+e− → u overline{u} at mathcal{O} ( {alpha}_s^3 ) is constructed, and combined with an event generator through unitary matching. The toy implementation may serve also as blueprint for high-precision qcd predictions at future lepton colliders. As a byproduct of the n3lo matching formula, a new nnlo+ps formula for processes with “additional” jets is obtained.

Adaptive image inpainting algorithm based on sample block by kriging pretreatment and facet model

We present an improved Criminisi image inpainting algorithm through kriging pretreatment and facet model. We propose three improvement strategies. First, we propose an improved priority. A priority used in Criminisi algorithm consists of confidence term and data term. As iteration progresses, the confidence term is updated and plays a key role in the confidence term of the next edge block. At the same time, the confidence term gradually tends to 0, leading to a weakening of the role of priority, and ultimately affecting the repair effect. We propose an improved priority, which is represented by a piecewise function. Importantly, this improved priority reduces the risk of being weakened during iteration. Second, Criminisi algorithm uses fixed-size sample blocks to repair damaged images, regardless of whether the image content is a textured area or a structure area. We introduce an adaptive method to select sample block size based on the facet model. The size of the sample block is adaptively adjusted for different image contents, thereby improving the quality of the repaired image. Third, we show a weighted sum of squares differences matching principle based on the facet model. The matching formula is determined by the pixel gray value of a sample block and the structure value of four directions, which improves matching accuracy between target block and optimal matching block. Finally, experimental results show that the proposed algorithm is competitive with some state-of-the-art inpainting techniques in terms of both objective metrics and subjective visual inspection.

Revisiting electroweak radiative corrections to b \u2192 s\u2113\u2113 in SMEFT

We revisit electroweak radiative corrections to Standard Model Effective Field Theory (SMEFT) operators which are relevant for the B-meson semileptonic decays. The one-loop matching formulae onto the low-energy effective field theory are provided without imposing any flavor symmetry. The on-shell conditions are applied especially in dealing with quark-flavor mixings. Also, the gauge independence is shown explicitly in the Rξ gauge.

A survivable VON embedding algorithm based on resource awareness of correlation lightpaths in elastic optical networks

To address the problems of low spectrum utilization and high bandwidth blocking probability of virtual optical network embedding in elastic optical networks, we propose a Survivable virtual optical network Embedding algorithm based on resource awareness of correlation lightpaths (SE-RACL), which can further optimize network resource allocation compared to traditional single lightpath resource allocation algorithms. Firstly, according to the multi-dimensional attributes of nodes, the importance sorting formulas of virtual nodes and physical nodes are designed to increase the cooperation between virtual node embedding and link embedding and reduce the bandwidth consumption of link embedding. Secondly, in the spectrum allocation process of the working lightpath, the spectrum block matching degree formula is designed by combining the spectrum fragmentation degree changes and resource reductions of correlation lightpaths, which is used to optimize the network spectrum resource allocation. Finally, in order to improve the sharing degree of protection resources and the success probability of spectrum allocation under single link failure, a correlation lightpaths spectrum allocation method based on the minimum free frequency slot consumption is proposed. Simulation results show that the SE-RACL algorithm can effectively reduce the bandwidth blocking probability and enhance the spectrum utilization.

Stokes phenomenon and Hawking radiation

We compute the semiclassical decay rate for Kerr black hole by deriving a one-way connection formula, relating the near horizon solution to the outgoing solution at infinity. In particular, we discuss the relevance of the Stokes phenomenon and show how it leads to a Boltzmann-like thermal weight factor by making use of the Stokes diagrams. We also give the exact result for the semiclassical greybody factor $e^{-2S}, $ where $S$ is the leading order WKB action. We contrast our results with Maldacena and Strominger's work [Phys. Rev. D 56, 4975 (1997)], where the emission spectrum for a rotating black hole was computed locally via asymptotic matching. We find that the relative error of semiclassical decay rate with respect to asymptotic matching formula diminishes in the limit of large angular momentum, $l$, as expected. In this limit, the action assumes a compact form: $2S \sim (2 l+1) (\text{Log} \left( \frac{16 }{z_0}\right)-1)$, where $z_0$ is the cross ratio formed by the critical points (zeroes) of the scattering potential.

Distance Measures for Multiple-Attributes Decision-Making Based on Connection Numbers of Set Pair Analysis With Dual Hesitant Fuzzy Sets

Dual hesitant fuzzy sets (DHFSs) is the refinement and extension of hesitant fuzzy sets and encompasses fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, and fuzzy multisets as a special case. DHFSs have two parts, that is, the membership function and the non-membership function, in which each function is defined by two sets of some feasible values. Therefore, according to the practical demand, DHFSs are more adjustable than the existing ones and provide the information regarding different objects in much better way. The set pair analysis (SPA) illustrates unsureness in three angles, called “identity”, “discrepancy” and “contrary”, and the connection number (CN) is one of its main features. In the present article, the axiom definition of distance measure between DHFSs and CN is introduced. The distance measures are established on the basis of Hamming distance, Hausdorff distance and Euclidean distance. The previous identities and relationship between them are discussed in detail. On the basis of the geometric distance model, the set-theoretic approach, and the matching functions several novel distance formulas of CN are introduced. The novel distance formulas are then applied to multiple-attribute decision making for dual hesitant fuzzy environments. Finally, to demonstrate the validity of the introduced measures, a practical example of decision-making is presented. The benefits of the new measures over the past measures are additionally talked about.

SMEFT top-quark effects on \u0394F = 2 observables

We investigate model independent top-quark corrections to ΔF = 2 processes for the down-type quarks within the framework of the Standard Model Effective Field Theory. Dimension-six ΔF = 1 operators contribute to them through renormalization group evolutions and matching conditions. We provide a complete one-loop matching formula from the top quarks for ΔF = 2 transitions. We also demonstrate these corrections on Delta {M}_{B_s} in the left-right symmetric model, which are compared with the conventional calculation.

Study on the Matching of Toe-in and Camber of the Double-Front-Axle Steering Automobile

Toe-in and camber of the wheel are important driving performance parameters in the four-wheel positioning parameters of automobile. In this paper, the mathematical geometrical models of toe-in and camber of the first and second bridges of the double-front-axle automobile are established, concluded that the relationship of toe-in and camber between the first bridge and the second bridge. At the same time, based on the side slip mechanism of the tire, the reasonable matching formula for toe-in and camber of the double-front-axle are concluded. Finally, according to the dynamic model established in the Adams/Car, the matching values of toe-in and camber are simulated and verified. The experimental results show that the matching value is reasonable and effective, for the matching of toe-in and camber of double-front-axle steering wheel has a certain guiding role.