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Live Webinars - Σεπτέμβριος 2010
Τρίτη 07/09/2010 - Speeding Up MATLAB Applications
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
In this webinar we will describe strategies and techniques for speeding up your MATLAB applications. This will include tips on how to optimize the performance of the MATLAB code itself and it will show how to use the MATLAB family of products to take advantage of advances in hardware, such as multicore machines and computer clusters.
This webinar is targeted toward people already familiar with MATLAB.
Please allow 60 minutes to attend the webinar. A Q&A session will follow the presentation and demos.
Product Focus
- MATLAB®
- Parallel Computing Toolbox™
- MATLAB® Distributed Computing Server™
Τετάρτη 08/09/2010 - Electricity Load and Price Forecasting with MATLAB
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
In this webinar, you will learn how MATLAB can be used to forecast short-term electricity loads and prices. Nonlinear regression and neural network modeling techniques are used to demonstrate accurate modeling using historical, seasonal, day-of-the week, and temperature data.
Highlights include:
• Forecasting short-term electricity loads and prices
• Accessing data from regional wholesale electricity markets
• “White-box” modeling using customizable algorithms and viewable-source functions
• Deploying and integrating an energy load forecaster
This webinar is for practitioners at power generators, utilities or energy trading groups whose focus is transmission planning, distribution operations, derivative valuation, or quantitative analysis. Familiarity with MATLAB is not required.
Product Focus
- MATLAB ™
- Statistics Toolbox™
- Neural Network Toolbox™
- MATLAB Compiler ™
- Database Toolbox™
Πέμπτη 09/09/2010 - Image Acquisition and Processing Using GigE Vision Cameras with MATLAB
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
Challenging image acquisition and processing problems are rarely solved with standard procedures. More often, you require flexible software that enables you to experiment with ideas, analyze results, and design real-world solutions.
View this webinar and discover how to use MATLAB, Image Processing Toolbox, and Image Acquisition Toolbox for image acquisition, analysis, processing, visualization, and algorithm development. We will demonstrate our capabilities by exploring a challenging imaging problem using a GigE Vision camera provided by Allied Vision Technologies (AVT).
- New features will be discussed and a product demonstration will show how to:
- Configure cameras and acquire images and video in MATLAB
- Use Image Acquisition Tool to simplify the acquisition process
- Organize and manipulate image data for exploration and visualization
- Use Image Processing Toolbox for standard techniques, such as enhancement, segmentation, and feature measurement
- Access vendor-specific camera features through a custom adaptor
Product Focus
- Image Acquisition Toolbox™
- Image Processing Toolbox™
- Video and Image Processing Blockset™
Τρίτη 14/09/2010 - Analyze, Model and Simulate Energy Risk with MATLAB – a SAP Integration at RWE
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet στις 11.30 π.μ.
In liberalized power markets the general shift in financial risk exposure creates a need for the development of new modeling tools explicitly fitted to the specific characteristics of decision problems in electricity markets. Everyday MATLAB products help energy market participants embed risk management into their processes for improved insights into marketplace volatility.
In this webinar, you will learn how MATLAB can help to capture, analyze and simulate energy risk exposures. Through product demonstrations, attendees will see how MATLAB can be used to streamline the development of energy risk management applications from concept inception through to data integration, analysis, modeling, and finally deployment.
In particular this webinar features a MATLAB based risk management system for natural gas trading called EwITA (Entwicklung IT-Zielarchitektur Gas ). The system was developed by RWE, the second largest energy supplier in Germany, and integrates a MATLAB energy pricing engine with SAP, an acclaimed enterprise solution.
This webinar is for practitioners or academics in energy trading whose focus is quantitative analysis, modeling, risk management, or deal valuation. Familiarity with MATLAB is not required.
Highlights:
- Integrating data sources and time series management
- Modeling and simulating natural gas prices, temperature and electricity prices
- Integrating a MATLAB energy pricing engine into a Java framework
Product Focus
- MATLAB®
- Econometrics Toolbox™
- MATLAB® Builder™ JA
Τρίτη 14/09/2010 - PID Control Made Easy
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
PID control is ubiquitous. While simple in theory, design and tuning of PID controllers can be difficult and time consuming in practice. The webinar will start with a quick theory primer on PID control. MathWorks engineers will then introduce a simple and straightforward way to quickly design, tune, and implement PID controllers. Through demonstrations, you will learn how to tune PID controllers for control systems in various industries, and how to address various practical considerations such as conversion from continuous to discrete-time domain, output saturation, anti-windup protection, gain-scheduling, and tuning for disturbance rejection.
Product Focus
- Control System Toolbox™
- Simulink®
- Simulink® Control Design™
- Simulink® Design Optimization™
Τετάρτη 15/09/2010 - Investigating Reactive Power Management of Mixed-Technology Wind Farms Using Modeling and Simulation
Toσεμινάριο θα μεταδοθεί ζωντανά μέσω internetστις 12.00 π.μ.
With wind turbine technology dominating the renewable energy installation base across the world, methods to effectively investigate the operation and management of assets within a wind farm, to ensure both economic operation and quality of supply, are of increasing importance.
In this webinar, MathWorks engineers will demonstrate how modeling and simulation allows effective investigation of reactive power management within the context of a mixed-technology wind farm. The technologies considered are a mix of squirrel-cage and DFIG wind turbines, with reactive power capability provided through the DFIG rotor-side converters and a STATCOM. The aim of the reactive power management system is to regulate reactive power at the grid point-of-connection (POC) to zero, reduce voltage flicker, and suitably manage the available capacity on the sources of reactive power.
The demonstration will consider model abstraction techniques to improve simulation speed, including the use of average-value power-electronic converters and aggregated wind turbine representations. Further speed advantage is realized through the use of parallel computing, allowing the results of multiple scenarios to be returned in a time-effective manner.
Product Focus
- MATLAB
- Simulink
- SimPowerSystems
- Parallel Computing Toolbox
Τετάρτη 15/09/2010 - Prove the absence of run-time errors in safety critical code
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet στις 11.30 π.μ.
Code reliability keeping you up at night? Attend this Webinar to learn how to determine if your C, C++, or Ada code is free from certain run-time errors. See how Polyspace code verification from MathWorks proves the absence of overflow, divide by zero, out-of-bounds array access, and other run-time errors in source code without requiring program execution, code instrumentation, or test cases. Early detection of software issues will help reduce development time and cost as well as help improve reliability. By using historical data from MathWorks customers, the return on investment of PolySpace will be demonstrated. With Polyspace you are able to:
- Find run-time errors in your source code
- Conform to coding standard such as MISRA-C, MISRA-C++ or JSF++
- Prove the absence of certain run-time errors
- Simplify certification and qualification (FAA/DO-178B, MISRA, CMMI, FDA, IEC 61508, etc.)
Product Focus
- PolySpace Client for C/C++
- PolySpace Server for C/C++
- PolySpace Model Link SL
Πέμπτη 16/09/2010 - Computational Statistics: Getting Started with Classification using MATLAB
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
In this webinar we introduce the classification capabilities included in Statistics Toolbox.
Classification is used to assign items to a discrete group or class based on a specific set of features. Classification algorithms are a core component of statistical learning / machine learning.
Representative examples include:
- Identifying vehicle type based on an acoustic signal or an image
- Sorting manufactured goods using images (optical quality control)
- Assigning a credit rating using information included in a financial statement
- Predicting a tumor type based on a DNA profile
- Filtering SPAM using the frequency of different words in an email
Applied examples using real world data sets are used to describe how you can:
- Choose between classification algorithms (bagged decision trees, naïve Bayes classifiers, discriminant analysis, and logistic regression)
- Train your classifier
- Evaluate the accuracy of a classifier (confusion matrices, ROC curves, classification error)
- Simplify your classification model
MATLAB code and data sets for all examples will be provided.
Product Focus
- Image Processing Toolbox™
- Statistics Toolbox™
Τρίτη 21/09/2010 - Benefits of Using Modular Design with Stateflow
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
In this webinar, we will discuss the benefits of using modular design in Stateflow. Specifically, we will discuss how to:
- Create states that can be reused in both the model and generated code
- Unit-test individual portions of the logic
- Work with a Stateflow chart in a team
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Please allow 60 minutes to attend the webinar. A Q&A session will follow the presentation and demos.
Product Focus
-
Stateflow®
Τρίτη 21/09/2010 - MATLAB Tools for Scientists – Introduction to Statistical Analysis
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
Researchers and scientists have to commonly process, visualize and analyze large amounts of data to extract patterns, identify trends and relationships between variables, prove hypothesis, etc. A variety of statistical techniques are used in this data mining and analysis process. Using a realistic data from a clinical study, we will provide an overview of the statistical analysis and visualization capabilities in the MATLAB product family.
Highlights include:
- Data management and organization
- Data filtering and visualization
- Descriptive statistics
- Hypothesis testing and ANOVA
- Regression analysis
Product Focus
- MATLAB®
- Statistics Toolbox™
Πέμπτη 23/09/2010 - MATLAB Tools for Scientists – Introduction to Statistical Analysis
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
Researchers and scientists have to commonly process, visualize and analyze large amounts of data to extract patterns, identify trends and relationships between variables, prove hypothesis, etc. A variety of statistical techniques are used in this data mining and analysis process. Using a realistic data from a clinical study, we will provide an overview of the statistical analysis and visualization capabilities in the MATLAB product family.
Highlights include:
- Data management and organization
- Data filtering and visualization
- Descriptive statistics
- Hypothesis testing and ANOVA
- Regression analysis
Product Focus
- MATLAB®
- Statistics Toolbox™
Πέμπτη 23/09/2010 - Mixed-Signal Series: A Coherent Design Flow
To σεμινάριο θα μεταδοθεί ζωντανά μέσω internet σε δύο ίδια Sessions.
In this webinar we demonstrate how engineers can build a coherent design flow for mixed-signal design. We illustrate this through demonstrations and case studies from industry. The webinar shows how different design stages and different engineering disciplines can be linked by the use of system-level design techniques to produce a coherent design flow. A coherent design flow enables errors to be detected much earlier in the design process, and the webinar will explain how this works. The webinar will also explain how engineers can take advantage of the productivity gains of system-level design, while still using their existing design – getting the best of both worlds.
This is the fourth and final webinar in a four-part series on mixed-signal design. It brings together the techniques demonstrated in earlier webinars, but it can be viewed without having seen the others in the series. At the end of the webinar, there will be a short question and answer session.
Product Focus
- MATLAB®
- Simulink®
-
SimPowerSystems™
Σε περίπτωση που δεν μπορέσετε να παρακολουθήσετε τα webinarsτην ημέρα μετάδοσης τους, μπορείτε να τα βρείτε σε σύντομο χρονικό διάστημα σε archived μορφή στην διεύθυνση:http://www.mathworks.com/company/events/archived_webinars.shtml