5. Implementation Tool
MATLAB (MATRIX LABORATORY) is a numerical computing environment and fourth-generation programming language. Developed by Math Works, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, and FORTRAN. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and Model-Based Design for dynamic and embedded systems.
In 2004, MATLAB had around one million users across industry and academia. MATLAB users come from various backgrounds
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It integrates computation, visualization, and programming environment. Furthermore, MATLAB is a modern programming language environment: it has sophisticated data structures, contains built-in editing and debugging tools, and supports object-oriented programming. These factors make MATLAB an excellent tool for teaching and research. MATLAB has many advantages compared to conventional computer languages (e.g., C, FORTRAN) for solving technical problems. MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. The software package has been commercially available since 1984 and is now considered as a standard tool at most universities and industries worldwide. It has powerful built-in routines that enable a very wide variety of computations. It also has easy to use graphics commands that make the visualization of results immediately available. Specific applications are collected in packages referred to as toolbox. There are toolboxes for signal processing, symbolic computation, control theory, simulation, optimization, and several other fields of applied science and
Introduction: Today scientists put acquired data into a form of a graph. This said graph is designed to help make predictions and furthermore, study and understand the experiment and its contents at hand. The Graphing and Estimating lab involves just that. The lab is designed to collect data from several tests involving burn time of a candle.
ABSTRACT- An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information [1]. Artificial Neural Networks (ANN) also called neuro-computing, or parallel distributed processing (PDP), provide an alternative approach to be applied to problems where the algorithmic and symbolic approaches are not well suited. The objective of the neural network is to transform the inputs into meaningful outputs. There are many researches which show that brain store information as pattern. Some of these patterns are very complicated and allows us to recognize from different angles. This paper gives a review of the artificial neural network and analyses the techniques in terms of performance.
TCO 3—Given a simple problem, design and desk-check a solution algorithm requiring a modular design that is expressed in terms of pseudocode or program notes, input-process-output (IPO) analysis, and flow chart.
This C6713 DSK board not only can communicate with different kinds software such as MATLAB/Simulink or Code Composer Studio software tool but also is supported by them through an embedded JTAG emulator with a USB host interface. Figure 1.2 represents the TMS320C6713-based DSK board.
The Panel Designer is used to create graphic panels. I used these panels to change the values of discrete and continuous environment variables interactively during the simulation. From the Toolbox and the Symbol Explorer I placed controls and symbols via drag and drop on an open panel. The properties of the selected objects are displayed in a table format which I synchronized with the signal being depicted by the control. This division of all these windows makes the process to configure the panel and its controls virtually dialog-free. A brief description of them are as follows.
There are a lot of applications which are used to teach student coding and different programming languages. However, in order to use these application user need to have some coding concepts. There are many application which produce codes in an automation way. We will bring some of them, namely:
Design an algorithm in pseudocode to solve the problem. Make sure to include steps to get each input and to report each output.
For this assignment I develop and either pseudo code or a flowchart for my following programming problem.
The objective of this lab is to be able to understand how the CPU functions work, as well as understanding machine and assembly language.
Cashman, G. B., Rosenblatt, H. J., & Shelly, G. B. (2013). Systems Analysis and Design (10th ed.). Boston, MA: Thomson - Course Technology.
This paper comprises an appreciation of data representation, its visualization, an outline description of behavior, plus an indication of the use of the equation in engineering.
Norton (Ed.). (2006). Computing Fundamentals. [University of Phoenix Custom Edition e-Text]. New York, New York: McGraw-Hill. Retrieved January 21, 2011, from CIS105 - Computers-Inside and Out.
Standard: A1.4. Linear functions, equations, and inequalities (Algebra) Students understand that linear functions can be used to model situations involving a constant rate of change. They build on the work done in middle school to solve sets of linear equations and inequalities in two variables, learning to interpret the intersection of the lines as the solution. While the focus is on solving equations, students also learn graphical and numerical methods for approximating solutions to equations. They use linear functions to analyze relationships, represent and model problems, and answer questions. These algebraic skills are applied in other Core Content areas across high school courses.
It can be used for mathematical, science or engineering calculations that you want to be solved.
3. Presents the software description. It explains the implementation of the project using PIC C Compiler software.