scholarly journals International Road Signs: Interpretability and Training Techniques

Author(s):  
Douglas Griffith ◽  
Tomme R. Actkinson
Author(s):  
Shanna J. Ward ◽  
Michael S. Wogalter ◽  
Andrew W. Mercer
Keyword(s):  

2011 ◽  
Vol 10 (2) ◽  
pp. 39-47
Author(s):  
Roberto Vigano ◽  
Edoardo Rovida ◽  
Riccardo Vincenti ◽  
Marco Ramondino

To reduce the number of road accident victims the European Commission has encouraged the European member states to implement a series of actions in this field. These actions include the development of intelligent and integrated safety systems as well as educational and training initiatives. Educational initiatives include the training of the drivers to improve their ability and sense of responsibility. In addition to the direct use of the vehicle, the training includes the recognition of the traffic signs. Since the recognition may be influenced by both the position of the signal and the weather conditions, the authors have studied the possibility of evaluate the drivers' perception of road signs by means of a virtual environment tool able to perform different operative conditions. A series of tests was conducted to evaluate the visualization tool created and its ability to replace other recognition tests. This paper reports first tests results.


2021 ◽  
pp. 190-235
Author(s):  
Lynn E. Long ◽  
Gregory A. Lang ◽  
Clive Kaiser

Abstract Training systems should be considered to be dynamic and continuously developing, as every grower and orchard site is different, with inherent traits that lead to subtle modifications of initial ideas and training concepts that can significantly affect their ultimate degree of success. This chapter will address more than a dozen potential sweet cherry canopy training systems. It provides a discussion of some of the key cherry training techniques and concepts, and particular benefits and limitations, to help growers determine how they might adopt or mix-and-match training systems for their goals, cultivars, rootstocks, orchard sites and labor situations.


2019 ◽  
Vol 16 (12) ◽  
pp. 1254-1261 ◽  
Author(s):  
Wei Ouyang ◽  
Casper F. Winsnes ◽  
Martin Hjelmare ◽  
Anthony J. Cesnik ◽  
Lovisa Åkesson ◽  
...  

AbstractPinpointing subcellular protein localizations from microscopy images is easy to the trained eye, but challenging to automate. Based on the Human Protein Atlas image collection, we held a competition to identify deep learning solutions to solve this task. Challenges included training on highly imbalanced classes and predicting multiple labels per image. Over 3 months, 2,172 teams participated. Despite convergence on popular networks and training techniques, there was considerable variety among the solutions. Participants applied strategies for modifying neural networks and loss functions, augmenting data and using pretrained networks. The winning models far outperformed our previous effort at multi-label classification of protein localization patterns by ~20%. These models can be used as classifiers to annotate new images, feature extractors to measure pattern similarity or pretrained networks for a wide range of biological applications.


Author(s):  
J. Srinivas

Engineering pedagogical techniques have received wide attention in recent times. Various fields of engineering have acquainted with progressive teaching methods and training techniques. The concept of pedagogy now has different dimensions. Along with modern challenges in industries, the teaching approaches have been modified in several respects. Earlier teacher training programs are to be upgraded with modern pedagogical concepts. This chapter brings out an introduction and a few application courses following the pedagogical engineering approaches. The concepts of technological pedagogical content knowledge and constructive pedagogy are summarized.


2011 ◽  
Vol 20 (4) ◽  
pp. 757-769 ◽  
Author(s):  
J. Sedano ◽  
J. R. Villar ◽  
L. Curiel ◽  
E. Corchado ◽  
E. A. De La Cal

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