SERI Laser Scanner System PDF Download
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Author: Richard J. Matson
Publisher:
ISBN:
Category : Optical scanners
Languages : en
Pages : 36
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Book Description
A Laser Scanner System (LSS) produces a photoresponse map and can be used for the nondestructive detection of nonuniformities in the photoresponse of a semiconductor device. At SERI the photoresponse maps are used to identify solar cell faults including microcracks, metallization breaks, regions of poor contact between metallization and the underlying emitter surface, and variations in emitter sheet resistance.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 756
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Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author: Biswajeet Pradhan
Publisher: Springer
ISBN: 3030103749
Category : Technology & Engineering
Languages : en
Pages : 165
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Book Description
This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks.
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 632
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Book Description
Author:
Publisher:
ISBN:
Category : Solar energy
Languages : en
Pages : 680
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Book Description
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 428
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Book Description
Author: Solar Energy Research Institute
Publisher:
ISBN:
Category : Solar energy
Languages : en
Pages : 16
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Book Description
Author:
Publisher:
ISBN:
Category : Photovoltaic power generation
Languages : en
Pages : 252
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Book Description
Author: Solar Energy Research Institute
Publisher:
ISBN:
Category : Solar energy
Languages : en
Pages : 16
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Book Description
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 1154
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Book Description
Author:
Publisher:
ISBN:
Category : Government reports announcements & index
Languages : en
Pages : 1126
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Book Description
