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Overview of pervasive computing
Published in Sonali Goyal, Neera Batra, N.K. Batra, An Integrated Approach to Home Security and Safety Systems, 2021
MATLAB plots: MATLAB tool is having a set of graphical tools. Few commands are used for results of computations or to plot a given data set. A simple plot is created by taking a vector of x-coordinates, x = {x1, x2, x3 … xn} and a vector of y-coordinates, y = {y1, y2, y3 … yn} locate the points (xi, yi) with i = 1, 2, 3 … n and then join them by straight lines. To plot a graph, the command used in MATLAB is plot(x,y). For example, if vectors x = (2, 4, 6, 8, 10) and y = (3, −2, 3, 5, 2) produce the plot, as shown in Figure 1.44: >>x=[2,4,6,8,10]>>y=[3,−2,3,5,2]>>plot(x,y)
Image Processing Techniques in Remote Sensing
Published in Ni-Bin Chang, Kaixu Bai, Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing, 2018
MATLAB is a high-level proprietary programming language developed by MathWorks Inc. that integrates computation, visualization, and programming in a user-friendly interactive environment. MATLAB has been widely used across disciplines for numeric computation, data analysis and visualization, programming and algorithm development, creation of user interfaces, and so forth. Since the basic data element of MATLAB is an array, it allows fast solution formulations for many numeric computing problems, in particular those involving matrix representations, such as images (i.e., two-dimensional numerical arrays). This means image processing operations can be easily expressed in a compact and clear manner toward a quick solution of image processing problems (Gonzalez et al., 2004).
Basics of MATLAB
Published in Edwin Zondervan, A Numerical Primer for the Chemical Engineer, 2019
As discussed earlier, basic reading and writing of data can be done with the MATLAB load and save functions. But data from text files or Excel files can also be pasted to the work space directly from the menu bar: edit/paste to workspace. In addition, there are builds in MATLAB functions that you can use to import data from, for example, Excel sheets. With the command xlsread you can import data, and with xlswrite you can write MATLAB data to Excel sheets. These commands are very useful when many data files are to be examined.
Reliability-based analysis of highway geometric Elements: A systematic review
Published in Cogent Engineering, 2022
Abayomi Afolayan, Oladapo Abiola Samson, Said Easa, Funmilayo Modupe Alayaki, Olusegun Folorunso
Rt “risk tools” is a computer program developed by (Mahsuli & Haukaas, 2013) at the University of British Columbia in Vancouver, Canada, for system reliability and optimization analysis. It is a framework for multi-model probabilistic analysis. Its unique features include: a thorough parameterization, efficient and versatile communication within the context of models, direct differentiation process computation of response sensitivities, and the implementation of a time parameter that facilitates the modeling of time-varying phenomena (Mahsuli & Haukaas, 2013). The spreadsheet is quantitative modeling software. It is a computer program that organizes, analyzes, and stores data in tabular format. It was created as a computerized version of accounting worksheets on paper. The software works by reading data from a table’s cells (Spreadsheet, 2020). This software can be used to create budgets, produce graphs, chart. Furthermore, it is used for storing and sorting data. It is also used to forecast future performance. MATLAB (Matrix Laboratory) is a high-level programming language that includes an immersive environment that is primarily used for numerical computing, programming, and visualization. The plotting of functions and data, the design of user interfaces, and matrix manipulations are its primary functions. It can also communicate with other programming languages such as C, C++, Fortran, and Java. It is used to analyze data, construct models and applications, and build algorithms in some cases (Introduction to MATLAB, 2020). MINITAB is statistical program that can help you create distributions for design inputs with a lot of variation. It includes goodness-of-fit statistics to aid in the identification of the best-fitting distributions (Musunuru & Porter, 2014). It is a multi-purpose software kit with a user-friendly interface. It is well adapted for educational purposes and can also be used to analyze research data as a primary tool (Minitab review, 2020).