Beyond Geotagged Tweets: Exploring the Geolocalisation of Tweets for Transportation Applications

2018 ◽  
pp. 1-21 ◽  
Author(s):  
Jorge David Gonzalez Paule ◽  
Yeran Sun ◽  
Piyushimita Thakuriah
Keyword(s):  
Transportation Applications

scholarly journals Review of the Durability of Polymer Electrolyte Membrane Fuel Cell in Long-Term Operation: Main Influencing Parameters and Testing Protocols

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 4048
Author(s):  
Huu Linh Nguyen ◽  
Jeasu Han ◽  
Xuan Linh Nguyen ◽  
Sangseok Yu ◽  
Young-Mo Goo ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Polymer Electrolyte ◽  
Failure Modes ◽  
Polymer Electrolyte Membrane ◽  
Durability Test ◽  
Term Operation ◽  
Electrolyte Membrane ◽  
Transportation Applications ◽  
Testing Protocols

Durability is the most pressing issue preventing the efficient commercialization of polymer electrolyte membrane fuel cell (PEMFC) stationary and transportation applications. A big barrier to overcoming the durability limitations is gaining a better understanding of failure modes for user profiles. In addition, durability test protocols for determining the lifetime of PEMFCs are important factors in the development of the technology. These methods are designed to gather enough data about the cell/stack to understand its efficiency and durability without causing it to fail. They also provide some indication of the cell/stack’s age in terms of changes in performance over time. Based on a study of the literature, the fundamental factors influencing PEMFC long-term durability and the durability test protocols for both PEMFC stationary and transportation applications were discussed and outlined in depth in this review. This brief analysis should provide engineers and researchers with a fast overview as well as a useful toolbox for investigating PEMFC durability issues.

Characterization of GaN HEMT Transistors for DC/DC Converters in Transportation Applications

2020 ◽  
Author(s):  
Rand AL Mdanat ◽  
Ramy Georgious ◽  
Jorge Garcia ◽  
Giulio De Donato ◽  
Fabio Giulii Capponi
Keyword(s):  
Gan Hemt ◽  
Transportation Applications

scholarly journals Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5137
Author(s):  
Elham Eslami ◽  
Hae-Bum Yun
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Contextual Information ◽  
Automated Classification ◽  
Automated Recognition ◽  
Pavement Distress ◽  
Multi Scale ◽  
Pavement Distresses ◽  
Multi Class Classification ◽  
Transportation Applications

Automated pavement distress recognition is a key step in smart infrastructure assessment. Advances in deep learning and computer vision have improved the automated recognition of pavement distresses in road surface images. This task remains challenging due to the high variation of defects in shapes and sizes, demanding a better incorporation of contextual information into deep networks. In this paper, we show that an attention-based multi-scale convolutional neural network (A+MCNN) improves the automated classification of common distress and non-distress objects in pavement images by (i) encoding contextual information through multi-scale input tiles and (ii) employing a mid-fusion approach with an attention module for heterogeneous image contexts from different input scales. A+MCNN is trained and tested with four distress classes (crack, crack seal, patch, pothole), five non-distress classes (joint, marker, manhole cover, curbing, shoulder), and two pavement classes (asphalt, concrete). A+MCNN is compared with four deep classifiers that are widely used in transportation applications and a generic CNN classifier (as the control model). The results show that A+MCNN consistently outperforms the baselines by 1∼26% on average in terms of the F-score. A comprehensive discussion is also presented regarding how these classifiers perform differently on different road objects, which has been rarely addressed in the existing literature.

A Dynamic Model for the Design of Methanol to Hydrogen Steam Reformers for Transportation Applications

2004 ◽  
Vol 126 (2) ◽  
pp. 149-158 ◽  
Author(s):  
Gregory L. Ohl ◽  
Jeffrey L. Stein ◽  
Gene E. Smith
Keyword(s):  
Response Time ◽  
Dynamic Model ◽  
First Principles ◽  
Initial Conditions ◽  
Design Parameters ◽  
Physical Parameters ◽  
Steam Reformer ◽  
Powerful Means ◽  
Steam Reformers ◽  
Transportation Applications

As an aid to improving the dynamic response of the steam reformer, a dynamic model is developed to provide preliminary characterizations of the major constraints that limit the ability of a reformer to respond to the varying output requirements occurring in vehicular applications. This model is a first principles model that identifies important physical parameters in the steam reformer. The model is then incorporated into a design optimization process, where minimum steam reformer response time is specified as the objective function. This tool is shown to have the potential to be a powerful means of determining the values of the steam reformer design parameters that yield the fastest response time to a step input in hydrogen demand for a given set of initial conditions. A more extensive application of this methodology, yielding steam reformer design recommendations, is contained in a related publication.

scholarly journals Electrical Power and Energy Systems for Transportation Applications

Energies ◽  
2016 ◽  
Vol 9 (7) ◽  
pp. 545 ◽  
Author(s):  
Paul Stewart ◽  
Chris Bingham
Keyword(s):  
Electrical Power ◽  
Energy Systems ◽  
Power And Energy Systems ◽  
Power And Energy ◽  
Transportation Applications

ATI 201 HP

Alloy Digest ◽  
2021 ◽  
Vol 70 (3) ◽  
Keyword(s):  
Mechanical Properties ◽  
Stainless Steel ◽  
Corrosion Resistance ◽  
Austenitic Stainless Steel ◽  
Physical Properties ◽  
Tensile Properties ◽  
Heat Treating ◽  
Mechanical Properties And Corrosion ◽  
Transportation Applications

Abstract ATI 201 HP is a 200-series, Cr-Mn-Ni austenitic stainless steel. It is comparable to the Cr-Ni stainless steel types 301, 304, and 304L in many respects, and can even provide some advantages over the 18-8 grades in certain applications. Because it possess a very desirable combination of economy plus good mechanical properties and corrosion resistance, it has been used in a wide variety of consumer and transportation applications. This datasheet provides information on composition, physical properties, hardness, elasticity, and tensile properties. It also includes information on corrosion resistance as well as forming, heat treating, and joining. Filing Code: SS-1332. Producer or source: ATI.

scholarly journals Transportation applications

2005 ◽  
Author(s):  
P.T. Fishburn ◽  
K.M. Taaffe
Keyword(s):  
Transportation Applications
Sign in / Sign up

Export Citation Format

Share Document