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Optimal Operation of Photovoltaic Power ... - IEEE PEDS 2013

Optimal Operation of Photovoltaic Power Conversion Systems: Maximum Power Point Tracking Approach Brief summary of the tutorial contents: As the quantum of available fossil fuels are decreasing day –by- day the world is going towards the use of renewable energy sources either to supplement the existing utility supply are replace completely to mitigate the global warming related problems. Photovoltaic (PV) power generation is one among these renewable sources and has tremendous potential and going to play a key role in the future power generation systems. In view of this it is now becoming essential to look into various aspects of the PV energy conversion into electric energy of form that is suitable to integrate to the conventional utility systems and to drive the versatile electric loads. As the solar radiation/ insolation is changing continuously, right from morning to evening, and hence it’s power output also changes. Further, the photovoltaic cells/ modules exhibits non-linear voltampere characteristics and hence their power output also depends on the type of load connected to it. In order to extract the available power from the solar modules and to improve the overall...

Deep Learning Tutorial - NYU Computer Science Department

Deep Learning Tutorial ICML, Atlanta, 2013-06-16 Yann LeCun Center for Data Science & Courant Institute, NYU yann@cs.nyu.edu http://yann.lecun.com Marc'Aurelio Ranzato Google ranzato@google.com http://www.cs.toronto.edu/~ranzato Y LeCun MA Ranzato Deep Learning = Learning Representations/Features The traditional model of pattern recognition (since the late 50's) Fixed/engineered features (or fixed kernel) + trainable classifier hand-crafted “Simple” Trainable Feature Extractor Classifier End-to-end learning / Feature learning / Deep learning Trainable features (or kernel) + trainable classifier Trainable Trainable Feature Extractor Classifier Y LeCun MA Ranzato This Basic Model has not evolved much since the 50's Built at Cornell in 1960 The Perceptron was a linear classifier on top of a simple feature extractor The vast majority of practical applications of ML today use glorified linear classifiers or glorified template matching. Designing a feature extractor requires considerable efforts by experts.

MICROSOFT POWERPOINT 2013
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1 | Page. MICROSOFT POWERPOINT 2013. BEGINNERS COURSE OUTLINE. TUTORIAL 1: CREATING A PRESENTATION. Presenting Information about ...Power Point 2013 tutorial

April, 2014 April, 2014 - Guided Computer Tutorials

Guided Computer Tutorials. Product. Catalogue. April, 2014. Product. Catalogue ..... Learning Microsoft Access 2013 . .... Learning Microsoft PowerPoint 2013 .Power Point 2013 tutorial

MICROSOFT POWERPOINT 2013
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1 | Page. MICROSOFT POWERPOINT 2013. INTERMEDIATE COURSE OUTLINE. TUTORIAL 3: APPLYING ADVANCED FORMATTING TO. OBJECTS.Power Point 2013 tutorial

ESSENTIAL MICROSOFT OFFICE 2013 Tutorials for Teachers

Lesson 9. POWERPOINT PRESENTATIONS. 298. Creating Slide Shows and related teaching materials. Lesson 10. POWERPOINT BEYOND THE BASICS. 327.Power Point 2013 tutorial

MANUAL DE MICROSOFT POWERPOINT
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La otra forma es hacer directamente clic sobre el icono de PowerPoint del ... La pantalla inicial es aquella que se abre al iniciar el PowerPoint, no tiene por que ...Power Point 2013 tutorial

Microsoft PowerPoint 2013 Step by Step ebook - Computer Collegiate

Microsoft PowerPoint 2013. Build exactly the skills you need. Learn at the pace you want. Microsoft. PowerPoint 2013. ®. ®. Joyce Cox and Joan Lambert.Power Point 2013 tutorial

PowerPoint 2013.pdf - Richard Stockton College of New Jersey

The names of software products referred to in this manual are claimed as trademarks of their respective companies. CustomGuide is a registered trademark of ...Power Point 2013 tutorial

Microsoft PowerPoint 2013
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Click here or press F1. Quick Start Guide. Microsoft PowerPoint 2013 looks different from previous versions, so we created this guide to help you minimize the ...Power Point 2013 tutorial

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