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Found 6412 publications

Measurement and analysis of low-acceleration and long-duration longitudinal events using delivery van

Publication Name: Packaging Technology and Science

Publication Date: 2023-01-01

Volume: 36

Issue: 1

Page Range: 45-53

Description:

This study investigates longitudinal acceleration events during freight transportation characterized as low-acceleration and long-duration using delivery van type vehicles. In the past several decades, there has been an increase in shipments requiring only single or small pallet load quantities and mixed palletized unit loads comprised of different goods. These loads are often transported in delivery vans without load securing devices, increasing the risk of product loss and damage due to load failures resulting from unit loads shifting. A field data acquisition system was used to observe and record the random acceleration events from five vehicles for 5 days, explicitly targeting the vehicles' braking and acceleration manoeuvres. The study aimed to understand the physical phenomenon and provide new information that can be used during preshipment tests to prevent damage to goods and ensure unit load integrity is maintained throughout the supply chain. The events were statistically analysed to understand their probability of occurrence, severity level, and quantify critical parameters such as event rise and hold times. For the braking manoeuvre, the statistical mean of average deceleration was 0.25 g with a corresponding rise and hold duration of 0.83 and 1.27 s, respectively. During the vehicle's acceleration manoeuvre, the statistical mean of average acceleration was 0.29 g with a rise and hold time of 1.29 and 1.39 s, respectively. Utilizing the field data, composite profiles were developed, and these profiles were compared to the currently available test procedures and previous results of other studies.

Open Access: Yes

DOI: 10.1002/pts.2691

The applicability of on-line contextual calibration to a neural network based monocular collision avoidance system on a UAV

Publication Name: IFAC Papersonline

Publication Date: 2019-01-01

Volume: 52

Issue: 11

Page Range: 7-12

Description:

Contextual calibration for object detection is a technique where a pretrained network collects attractive false positives during a calibration phase and use this calibration data for further training. This paper investigates the applicability of this method to a vision based onboard sense and avoid system, which requires intruder aircraft detection in camera images. Various landscape and sky backgrounds were generated by Unreal4 3D engine for calibration tests. Contextual calibration is a promising candidate for handling extreme situations which are not covered well in the training data.

Open Access: Yes

DOI: 10.1016/j.ifacol.2019.09.110

Implicit extension of taylor series method for initial value problems

Publication Name: Journal of Computational Methods in Sciences and Engineering

Publication Date: 2005-01-01

Volume: 5

Issue: 4

Page Range: 263-270

Description:

The Taylor series method is one of the earliest analytic-numeric algorithms for approximate solution of initial value problems for ordinary differential equations. The main idea of the rehabilitation of these algorithms is based on the approximate calculation of higher derivatives using well-known technique for the partial differential equations. The approximate solution is given as a piecewise polynomial function defined on the subintervals of the whole interval. This property offers different facility for adaptive error control. This paper describes several explicit Taylor series with implicit extension algorithms and examines its consistency and stability properties. The implicit extension based on a collocation term added to the explicit truncated Taylor series. This idea is different from the general collocation method construction, which conduces to the implicit R-K algorithms [12]. It demonstrates some numerical test results for stiff systems herewith we attempt to prove the efficiency of these new-old algorithms.

Open Access: Yes

DOI: 10.3233/jcm-2005-5404

Experimental and Statistical Analysis of the Vertical Temperature Gradient, for Ballastless Railway Track, in Alpine and Plateau Environs

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2023-01-01

Volume: 20

Issue: 1

Page Range: 123-142

Description:

Temporal temperature evolution of ballastless railway track is a random process caused by complex environmental actions. The vertical temperature gradient (VTG), varying continuously with time, has significant effects on the repeated deformation of ballastless track. However, few researchers have considered the statistical analysis of VTGs in alpine and plateau environs characterized by high altitude, strong solar radiation and high diurnal temperature differences. In this study, a temperature field test platform of ballastless track was established in Shannan City, Tibet and the temperature field of ballastless track was measured. Based on four statistical methods, a Monte Carlo simulation (MCS), Gaussian mixture model (GMM), Generalized Pareto distribution (GPD) and a third-order polynomial normal transformation technique (TPNT), the VTGs of ballastless track in alpine and plateau areas, are statistically analyzed. The results show that the applied statistical methods, used for predicting the VTG representative value, in ballastless track, are feasible within different application conditions. The recommended positive and negative representative values of the VTG of ballastless track are 91.58oC/m and-40.15oC/m, and 82.83oC/m and-35.03oC/m, with failure probabilities of 1% and 5% respectively, in alpine and plateau areas. The research results can provide a reference for the design and maintenance of ballastless track used in alpine and plateau environs.

Open Access: Yes

DOI: 10.12700/APH.20.1.2023.20.9

What drives small retailers to adopt an integrated marketing communications approach?

Publication Name: Proceedings Icsssm 07 2007 International Conference on Service Systems and Service Management

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This study has sought to explain the determinants of what leads certain retailers and not others to adopt an integrated marketing communications (IMC) approach. A sample of 512 retailers in Australian capital cities were used to explore this question. Logit regression analysis has been used to identify the key determinants. The conclusion is that the size of the retail promotion budget and whether or not the retailer is part of a chain organisation are the two critical factors in explaining the adoption of an IMC approach. Both of these factors were positive and highly significant. Other factors had a very minor role to play in explaining the adoption of IMC. The paper concludes by suggesting two key managerial implications for both the large and small retailers in relation to optimising their promotion budget. © 2007 IEEE.

Open Access: Yes

DOI: 10.1109/ICSSSM.2007.4280211

Investigation of steel fibers bond strength in mortar matrix

Publication Name: Pollack Periodica

Publication Date: 2013-12-01

Volume: 8

Issue: 3

Page Range: 101-110

Description:

In this paper the results of an investigation about steel fibers bond strength in mortar matrix are presented. Pull-out tests were made with four different types of fibers (hookedend, crimped, flat-end, anchoraged), the fibers were embedded individually into a cement based sample with three different embedded length (10, 15, 20 mm). Another variable parameter of the experiment was the strength of the matrix (three different mixture were used), and hooked-end fibers with higher tensile strength and zinc surface coating were tested also. During the tests pull-out force and displacement were measured.

Open Access: Yes

DOI: 10.1556/Pollack.8.2013.3.10

Dynamic fuzzy rule weight optimization for a Fuzzy Based Single-Stroke Character Recognizer

Publication Name: Ines 2013 IEEE 17th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2013-12-12

Volume: Unknown

Issue: Unknown

Page Range: 119-124

Description:

In this paper a dynamic fuzzy rule weighting method (DFW) combined with evolutionary optimization are presented for the formerly published Fuzzy Based Single-Stroke Character Recognizer (FUBAR) method. With the introduced rule weighting technique the consequent parts of the if...then... rules are calculated similarly to the original FUBAR method, but a dynamic fuzzy rule weight Wn([0,1]) described as a fuzzy set is applied to it in O n·1/Wn(On) form, where On is the output of the rule. The membership functions of DFW-s are determined by bacterial evolutionary algorithm. The paper compares the results of the proposed new algorithm with other (formerly published) FUBAR algorithms and also with other commercial and academic single-stroke recognizers in terms of recognition accuracy and computational resources needed. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2013.6632795

Mechanical and Metallographic Characterization of GGV30 Vermicular Cast Iron applied in Road and Railway Vehicles

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2026-01-01

Volume: 23

Issue: 1

Page Range: 197-213

Description:

This study focuses on the mechanical characterization of GGV30 vermicular cast iron. GGV30 has gained increasing recognition in the automotive and railway industries, particularly for its use in critical components, like brake discs and clutch parts. Given the demanding nature of these applications, a thorough understanding of the material's mechanical properties and their variations under different operating conditions is essential to ensuring reliability and performance. A comprehensive review of various testing methods is provided, to analyze the mechanical behaviors of GGV30. These methods assess key parameters such as strength, durability and hardness, which are crucial for evaluating suitability, for automotive applications. By conducting these investigations, this study lays the foundation for future machining tests, offering valuable data from the workpiece perspective. This approach enhances the testing process, by identifying critical factors, reducing redundant experiments and optimizing the overall assessment of the material's performance.

Open Access: Yes

DOI: DOI not available

Fourier Analysis of the Nonlinearity of Surface-Relief Optical Transmission Gratings of Quasi-Sinusoidal Profile Fabricated in Optical Glasses and Crystals by Carbon, Nitrogen and Oxygen Ion Microbeams

Publication Name: Photonics

Publication Date: 2025-10-01

Volume: 12

Issue: 10

Page Range: Unknown

Description:

Optical transmission gratings with quasi-sinusoidal surface-relief profiles were inscribed in IOG and Pyrex glasses and in Bi12GeO20, Er: LiNbO3, and Er: Fe: LiNbO3 crystals by microbeams of carbon, nitrogen, and oxygen ions at ion energies of 5, 6, and 10.5 MeV. Grating constants were 4, 8, and 16 μm. Amplitudes of the surface-relief gratings were in the 10–2000 nm range. The diffraction efficiency of the gratings was measured at a wavelength of 640 nm. Maximum diffraction efficiencies were close to the theoretical maximum of 33% for thin gratings. Grating profiles were measured by optical microscopic profilometry. Measurement of the diffraction efficiencies at higher orders and Fourier analysis of the grating profiles revealed the dependence of the residual nonlinearity of the grating profiles on the implanted ion fluence. The ion microbeam-written gratings can be used as light coupling elements in integrated optics for sensors and telecommunication.

Open Access: Yes

DOI: 10.3390/photonics12100978