Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage by Yan-long Chen, Pei-lin Zhang, Bing Li, Ding-hai Wu

“…This quantum-inspired shrinkage algorithm combines three elements: an adaptive non-Gaussian statistical model of dual-tree complex wavelet transform (DTCWT) coefficients proposed to improve practicability of prior information, the quantum superposition introduced to describe the interscale dependencies of DTCWT coefficients, and the quantum-inspired probability of noise defined to shrink wavelet coefficients in a Bayesian framework. …”
Get full text

Research on optimal channel access method for distributed wireless network based on reliable multicast communication by Yizhu WANG, Zhou ZHANG, Piming MA, Baoquan REN

“…To address the low spectrum utilization issue of the distributed network due to multi-user collision and channel time-varying nature, the distributed channel access problem for multicast communication was investigated.Based on the optimal stopping theory, a statistical model of distributed channel access under wireless multicasts was established, and an optimal distributed wireless channel access method under reliable multicast communication was proposed.Each source competes for the channel in a distributed manner, the winner source determines whether to access the shared channel by comparing the reliable multicast access rate with a pure threshold to complete the reliable multicast communication from the winner source to all the sinks.Theoretic optimality of the method was proved rigorously.A corresponding low-complexity algorithm was designed, which has a pure threshold structure and good engineering practicability.Numerical results show that the proposed channel access method can effectively improve the average throughput of the system.…”
Get full text

Learning Force-Relevant Skills from Human Demonstration by Xiao Gao, Jie Ling, Xiaohui Xiao, Miao Li

“…First, the force-relevant skill is encapsulated as a statistical model where the key parameters are learned from the demonstrated data (motion, force). …”
Get full text

Size Effect of Sandstone Particle Crushing Strength and Aggregate Shear Strength Based on Nominal Particle Size by QIU Zhenfeng, LEI Ruiyi, CHEN Renyuan, LIU Jinghong, FENG Yi, FANG Jun

“…Based on the Weibull statistical model, this paper establishes a formula for the size effects of particle strength. …”
Get full text

Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders by Karolis Senvaitis, Aušra Adomavičienė, Kristina Daunoravičienė

“…This is a continuation of previous research focusing on a novel multicriteria statistical model integrating experimental and large-scale statistical datasets. …”
Get full text

Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968 by Luciana Quaranta

“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
Get full text

Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968 by Luciana Quaranta

“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
Get full text

Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines by Santosh Kumar Nanda, Debi Prasad Tripathy

“…The paper analyzes the prediction capabilities of functional link neural network based noise prediction models vis-à-vis existing statistical models. In order to find the actual noise status in opencast mines, some of the popular noise prediction models, for example, ISO-9613-2, CONCAWE, VDI, and ENM, have been applied in mining and allied industries to predict the machineries noise by considering various attenuation factors. …”
Get full text

Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968 by Luciana Quaranta

“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
Get full text

Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS) by Luciana Quaranta

“…The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. …”
Get full text

Investigation of traffic adaptation based interference alignment for cognitive radio networks by Heng DONG, Rong-fang SONG

“…The analysis is verified with statistic model simulation and the results show that the new method outperforms both modified opportunistic IA and fixed IA in average d.o.f and thus can significantly improve the sum capacity of cognitive users without introducing interference to the primary user. …”
Get full text

Fluctuation scaling in neural spike trains by Shinsuke Koyama, Ryota Kobayashi

Get full text

Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS) by Luciana Quaranta

“…The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. …”
Get full text

L’influence des usages numériques des étudiants sur la réussite universitaire by Christophe Michaut, Marine Roche

“…Analyses indicate that students make little use of digital tools to study and when they use them, it is mainly in an instrumental way. Besides, statistical models reveal absence of significant effect of digital activities of the students on exam results.…”
Get full text

Estimation of partially linear single-index spatial autoregressive model using B-splines by Lei Liu, Jun Dai

Get full text

Tax Audit in Turkiye: Simulation and Estimations Based on Kernel and Weight Functions by Mehmet Niyazi Çankaya, Murat Aydın

“…These results show that different taxpayer populations require the targeted audit strategies and highlight the importance of the statistical models with corresponding estimation method to better understand complex distributions and improve tax audit processes.…”
Get full text

Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS) by Luciana Quaranta

“…The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. …”
Get full text

The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors by Andreea Rodica Sterian

“…Large detectors present also some problems regarding the large number of signals from independent photo multiplier tubes (PMTs). A realistic statistical model for numerical simulation of signal processing and sampling has been developed for the case of a large number of independent particle detectors (LNIPDs). …”
Get full text

Aggregating multiple test results to improve medical decision-making. by Lucas Böttcher, Maria R D'Orsogna, Tom Chou

“…In this work, we develop a statistical model to study how medical decision-making can be improved by aggregating results from repeated diagnostic and screening tests. …”
Get full text

Constitutive Model of Recycled Aggregate Concrete for Channels Affected by Freeze-Thaw Damage by FENG Hongchun, XU Chengjian, YUE Kedong, YANG Tong

“…The stress-strain constitutive relationship is an important research content of concrete materials.To reveal the mechanical damage law of recycled aggregate concrete under the effect of freeze-thaw cycles,this study builds a statistical model of mesoscopic damage to concrete on the basis of Weibull strength theory and compression experiment results of concrete.The results show that the damage to concrete under the uniaxial load is more significant under the action of the freeze-thaw cycle.As the number of freeze-thaw cycles increases from 0 to 120,the compressive strength and elastic modulus decrease exponentially,and the failure strain shows an upward trend.The Weibull strength theory is employed to construct the constitutive model of concrete damage considering the influences of freeze-thaw cycles,and by fitting,the shape parameter m and the scale parameter ε₀ are solved.In addition,the number of freeze-thaw cycles T is introduced to this model.The comparison of the measured stress-strain curve with the fitted results of the model verifies the rationality of the theoretical model.…”
Get full text