Identification of Railway Track Parameters for the Track/Train Interaction Analysis

2014 ◽  
Author(s):  
R. Fesharakifard ◽  
A. Dequidt ◽  
O. Coste ◽  
T. Tison
Keyword(s):  
Interaction Analysis ◽  
Railway Track

scholarly journals A model for the stochastic prediction of track support stiffness

2019 ◽  
Vol 234 (5) ◽  
pp. 468-481 ◽  
Author(s):  
Louis Le Pen ◽  
David Milne ◽  
Geoff Watson ◽  
John Harkness ◽  
William Powrie
Keyword(s):  
High Speed ◽  
Interaction Analysis ◽  
Field Measurements ◽  
Stochastic Approach ◽  
Distribution Functions ◽  
Railway Track ◽  
Track System ◽  
Plausible Values ◽  
Track Stiffness ◽  
And Control

As well as guiding the train, one of the key aims of a railway track system is to provide support to the train at the wheel–rail interface that is of near-uniform compliance. Of the various components that make up this compliance, the contribution of the trackbed (ballast and subgrade) is the most difficult to understand and control. This paper presents data from field measurements of the track support system stiffness for a continuous run of 209 sleepers on a high-speed ballasted railway. The data indicate a level of variability, even on a highly engineered and well-maintained route. Statistical analysis of the data is used to demonstrate the dependence of the trackbed modulus at an individual sleeper on the modulus of the sleeper immediately preceding it, and that in statistical terms the effect of sleepers further away is due to correlation between the intermediate sleepers. An optimum trackbed stiffness, close to the overall mean, at which the standard deviation is a minimum is demonstrated for a particular site. As the trackbed stiffness moves away from this optimum value, the likely variation from sleeper to sleeper increases. A framework for implementing a stochastic approach for predicting the variation in track support stiffness from one sleeper to another, based on a Markov model and appropriate probability distribution functions, is then proposed. This framework may be used for the quantitative comparison of different sites and for simulating the plausible values of track stiffness in the vehicle–track interaction analysis.

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

Getting to know a new protocol in hypertension care

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Mona Lundin
Keyword(s):  
Blood Pressure ◽  
Digital Technology ◽  
Interaction Analysis ◽  
Medical Discourse ◽  
Graphical Form ◽  
Graph Data ◽  
Average Blood Pressure ◽  
Infrastructure Design

This study explores the use of a new protocol in hypertension care, in which continuous patient-generated data reported through digital technology are presented in graphical form and discussed in follow-up consultations with nurses. This protocol is part of an infrastructure design project in which patients and medical professionals are co-designers. The approach used for the study was interaction analysis, which rendered possible detailed in situ examination of local variations in how nurses relate to the protocol. The findings show three distinct engagements: (1) teasing out an average blood pressure, (2) working around the protocol and graph data and (3) delivering an analysis. It was discovered that the graphical representations structured the consultations to a great extent, and that nurses mostly referred to graphs that showed blood pressure values, which is a measurement central to the medical discourse of hypertension. However, it was also found that analysis of the data alone was not sufficient to engage patients: nurses' invisible and inclusion work through eliciting patients' narratives played an important role here. A conclusion of the study is that nurses and patients both need to be more thoroughly introduced to using protocols based on graphs for more productive consultations to be established. 

Soil/Tire Interaction Analysis Using FEM and FVM

2005 ◽  
Vol 33 (1) ◽  
pp. 38-62 ◽  
Author(s):  
S. Oida ◽  
E. Seta ◽  
H. Heguri ◽  
K. Kato
Keyword(s):  
Large Scale ◽  
Interaction Analysis ◽  
Yield Criterion ◽  
Surrounding Medium ◽  
Flow Analysis ◽  
Measurement Data ◽  
Traction Force ◽  
Elastoplastic Material ◽  
The Road ◽  
Soil Flow

Abstract Vehicles, such as an agricultural tractor, construction vehicle, mobile machinery, and 4-wheel drive vehicle, are often operated on unpaved ground. In many cases, the ground is deformable; therefore, the deformation should be taken into consideration in order to assess the off-the-road performance of a tire. Recent progress in computational mechanics enabled us to simulate the large scale coupling problem, in which the deformation of tire structure and of surrounding medium can be interactively considered. Using this technology, hydroplaning phenomena and tire traction on snow have been predicted. In this paper, the simulation methodology of tire/soil coupling problems is developed for pneumatic tires of arbitrary tread patterns. The Finite Element Method (FEM) and the Finite Volume Method (FVM) are used for structural and for soil-flow analysis, respectively. The soil is modeled as an elastoplastic material with a specified yield criterion and a nonlinear elasticity. The material constants are referred to measurement data, so that the cone penetration resistance and the shear resistance are represented. Finally, the traction force of the tire in a cultivated field is predicted, and a good correlation with experiments is obtained.

THE STUDY OF TEACHER TALK AND STUDENT TALK IN SPEAKING CLASS

2018 ◽  
Vol 2 (2) ◽  
pp. 184-198
Author(s):  
Ida Yulianawati
Keyword(s):  
Junior High School ◽  
Learning Process ◽  
Interaction Analysis ◽  
Participant Observation ◽  
Video Recording ◽  
Classroom Interaction ◽  
Verbal Interactions ◽  
Qualitative Interaction ◽  
Classroom Language ◽  
Teaching Learning

The paper concerns with investigating classroom interaction especially the classroom language used by teacher and students in teaching learning process in one Junior High School in Indramayu. Teacher’s talk signals the classroom language that is used by the teacher in the classroom throughout the class periods. Meanwhile, students’ talk signal classroom language that is used by the students. The study employs qualitative interaction analysis method involving fifty nine students and two teachers in two different classrooms. The data are gathered through non-participant observation and video recording. Classroom observations were conducted to gain the data concerning classroom interaction in teaching learning process. The data collecting was separated into twelve categories and analyzed using Flint (Foreign Language Interaction analysis) system adopted from Moscowitz that is widely used to investigate classroom interaction. The findings of this study showed that there are various verbal interactions used in classroom interaction. The data showed that the use of classroom language motivate students to speak and encourage the students to share their idea. But the data also showed that there are many obstacles in using classroom language. So it needs more effort from teachers and students to make classroom language familiar in the classroom.  

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