DOE for Accelerated Learning and Better Vehicle Performance

1998 ◽  
Author(s):  
Evan R. Moen ◽  
Ronald D. Moen ◽  
Thomas R. Young
Keyword(s):  
Accelerated Learning ◽  
Vehicle Performance

Accelerated learning: Prospects, issues and applications

2010 ◽  
Author(s):  
Robert R. Hoffman ◽  
Dee Andrews ◽  
Stephen M. Fiore ◽  
Stephen Goldberg ◽  
Terence Andre ◽  
...  
Keyword(s):  
Accelerated Learning

PENINGKATAN KETERAMPILAN MEMBACA PEMAHAMAN BERBASIS PENDEKATAN ACCELERATED LEARNING DI KELAS V SD NEGERI 011 AIR EMAS KECAMATAN SINGINGI

2019 ◽  
Vol 3 (3) ◽  
pp. 652
Author(s):  
Tati Nurhayati
Keyword(s):  
Reading Comprehension ◽  
Reading Skills ◽  
Accelerated Learning ◽  
Learning Approach ◽  
Class V ◽  
Comprehension Skills ◽  
Adequate Understanding ◽  
Value Range ◽  
Reading Activity ◽  
Reading Comprehension Skills

Reading comprehension is a reading activity that aims to obtain adequate understanding and interpretation of the meanings contained in written symbols. the reading process is divided into three stages, such as pre-reading, reading, and post-reading. But the reality is that many of the students still experience difficulties in reading comprehension learning. Therefore, researchers applied an Accelerated Learning approach to improve students' reading comprehension skills. The results showed, the assessment of the process of reading students' skills for each assessment indicator was in the value range of 78.35% to 87.35% which was included in the good and very good category. While the results of the assessment of the overall reading skills process were 82.32% with a very good category. Based on the results of the study it can be concluded that learning based on the accelerated learning approach can enhance reading comprehension skills of students in class V of the Primary school of 011 Air Emas, Singingi District.

Comprehensive Study of the Performance of Winter Tires on Ice, Snow, and Asphalt Roads: The Influence of Tire Type and Wear

2017 ◽  
Vol 45 (3) ◽  
pp. 175-199 ◽  
Author(s):  
Mattias Hjort ◽  
Olle Eriksson ◽  
Fredrik Bruzelius
Keyword(s):  
Vehicle Performance ◽  
Testing Facility ◽  
Recorded Data ◽  
Winter Road ◽  
Tire Testing ◽  
Tire Forces ◽  
Real Traffic ◽  
Real Vehicle ◽  
Comprehensive Study

ABSTRACT This work presents a comprehensive study of the performance of winter tires on snow, ice, and asphalt. A set of 77 different winter tires were carefully selected for the study. Of these, 27 were new and 50 were worn from real traffic use. All three tire types for winter conditions (Nordic, European, and studded) were represented. All tires have been tested using a mobile tire-testing device for snow and asphalt and using a stationary tire-testing facility for ice. Both devices recorded the tire forces and motions, enabling a close to complete stationary characterization of the tires. In addition, 42 of the tires were tested on a passenger car, where brake performance was evaluated for the three different road conditions. This enables a comparative study of performance between tire types and wear for various winter road conditions. The results suggest that the recorded data represent real vehicle performance. Some conclusions from the measurements are that the effect of wear is consistent between the tire groups and that the performance degradation is most noticeable on studded tires on ice and on European tires on snow.

scholarly journals Influence of hinge length and distribution number on the camber and cornering properties of a non-pneumatic tire

2020 ◽  
Vol 12 (12) ◽  
pp. 168781402098468
Author(s):  
Xianbin Du ◽  
Youqun Zhao ◽  
Yijiang Ma ◽  
Hongxun Fu
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Adaptive Learning ◽  
High Speed ◽  
Back Propagation ◽  
Lateral Force ◽  
Learning Ability ◽  
Vehicle Performance ◽  
Neural Network Theory ◽  
Bp Neural Network Model

The camber and cornering properties of the tire directly affect the handling stability of vehicles, especially in emergencies such as high-speed cornering and obstacle avoidance. The structural and load-bearing mode of non-pneumatic mechanical elastic (ME) wheel determine that the mechanical properties of ME wheel will change when different combinations of hinge length and distribution number are adopted. The camber and cornering properties of ME wheel with different hinge lengths and distributions were studied by combining finite element method (FEM) with neural network theory. A ME wheel back propagation (BP) neural network model was established, and the additional momentum method and adaptive learning rate method were utilized to improve BP algorithm. The learning ability and generalization ability of the network model were verified by comparing the output values with the actual input values. The camber and cornering properties of ME wheel were analyzed when the hinge length and distribution changed. The results showed the variation of lateral force and aligning torque of different wheel structures under the combined conditions, and also provided guidance for the matching of wheel and vehicle performance.

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