MATLAB is a programming language that is frequently used for mathematical modeling and data acquisition across different industry verticals such as the aerospace and aviation industry. It is used to build sophisticated simulations, data mining and machine learning algorithms  that are used in almost every branch of engineering – from mechanical to electrical to chemical to computer science. It is also frequently used at universities by professors and students for high-end research purposes. MATLAB is an acronym for matrix laboratory and is a property of MathWorks. It is extremely popular and has millions of users worldwide across different industry and academia.  

Mathematical modeling and simulation are frequently used in engineering and economics. MATLAB has a GUI (Graphic User Interface), which makes mathematical modeling very easy. It also has some additional features such as Simulink, which facilitates multi-domain simulation. Akin to any other programming languages MATLAB has a procedure for naming variables and a stringent structure that controls the program flow. It allows interfacing in other languages such as Fortran or C. Furthermore, MATLAB can be used to directly call libraries written in Java.NET, Perl or ActiveX. It also has toolboxes such as Distributed Systems, and Fuzzy Toolbox, that is designed to benefit developers to build long term solutions. Freshers in MATLAB may avail the mentoring options from MATLAB developers in India and industry leaders in order to use MATLAB like an expert.

MATLAB developers in India design, develop, simulate and test software on numerous MATLAB platforms. They are highly skilled and possess different subject matter knowledge. They have a thorough and comprehensive understanding of mathematics such as Game theory, Fourier Deep learning neural networks, Vector Algebra, and more. As thorough geeks that they are, they are also surprisingly equally capable of fruitful client interactions. MATLAB developers in India are highly qualified and they most often possess a B.Tech/B.E. and/or M.Tech degrees. MATLAB professionals in India are rigorously screened and only most eligible candidates are offered employment. MATLAB developers in India can earn a lucrative salary. The annual salary ranges from 3 to 5 lakh per annum. Several MATLAB developers in India also work on a freelance basis on numerous projects. Such developers may charge up to Rs 3000 per hour. A career in MATLAB programming is highly lucrative and is replete with different opportunities. There are a lot of growth opportunities along with skill development.

Depending on the type of your PhD research work, you can use a variety of network simulator softwares that are available in the market. Network simulators are particularly useful in academic research work as it is expensive and time-consuming to test your project over real-time network of computers and data connectors.

There are a number of network simulators, including the popular ones like OPNET, NS2/NS3, and OMNeT++. Network simulators can be classified on basis of the following criteria:

• Commercial use or Open source

For commercial software such as OPNET and QualNet, researchers have to pay for the license and cannot modify the source code. Advantages include regular updates and fixes and documentation set for easy learning. Open source software such as NS2/NS3 and OMNeT++ are free for downloads and are very flexible. Open source network simulators are more popular in academic circles.

• Ease of use

GUI-based simulators such as OPNET and OMNeT++ provide a visual interface to the user, making it easier to understand the working. Alternatively, simulators with text-based interfaces are easier to customize for your project requirements.

For your convenience, OPNET simulator allows you to model, simulate, and analyse networks. Additional features include user-friendly graph and chart generation, statistics, and even animation.

• Programming features

Simulators with strong programming features provide a highly-customizable framework to design your own network simulating application for testing. NS2 uses C++ object-oriented language with Tcl script language. This programming code allows you to write your own event scheduler and network component objects, thus reducing the network packet and event processing time. NS3 that uses C++ with Python scripting is an open source simulator that is aimed particularly for research work.

The strength of OMNeT++ is in its component-based architecture with a number of modules assembled using reusable software components. Besides this, OMNeT++ can run on both Windows-based and Linux-based systems.

• Performance

For a network comprising of 400 to 2000 nodes, among NS2, NS3, and OMNeT++, NS2 uses the highest amount of memory with NS3 utilizing the lowest amount of memory. With a gradual increase in nodes, there is a corresponding increase in memory consumption among all the network simulators. With respect to the computational time, NS2 shows a rapid increase in time with increase in nodes. NS3 is the most efficient in computation time and scalability as compared to the other simulators.

Are you on the verge of submitting your PhD project and wondering if it would be nice to include some digital images to make the project look better? Of course, it will. Digital images are the essence of a PhD project along with the topic and you must get some really good images to enhance the beauty of the project. However, including digital images are not easy and require processing with the best software. And, when the best software is concerned for digital image processing, there can be nothing better than Matlab. It has made breakthroughs in the field of research and is one of the most important tools for simulation and modeling. In the world of research, you need an ambience where it is possible to test theories without any kind of disturbance and that is the reason why Matlab is so popular. It has been widely used for testing various numerical models and also visualizing the results of different computations. In fact, this software was built so that PhD students can implement digital images in their projects.

Integrate and Scale

Matlab is one of those tools that will allow a user to reach his level of perfection. It has the ability to make you think beyond the ideas that are present in your computer. Before you implement the digital images on your project, you will be able to analyze them completely and scale them up according to your specifications. You can actually integrate the code of Matlab with different languages and that would help you deploy your applications and algorithms within the production systems. So, basically, you are not only benefiting from the fact that your project is getting digital images, but you are also able to put in your specifications according to the type and mode of images that you need.

Programming and Graphics

This is another gem of a feature that PhD students can benefit from. The software is specially designed to solve various scientific problems of engineers. Matlab is a matrix based language that helps in computing complex mathematics. One of the biggest advantages of using this software is, you get insights from the data that is already present and the built-in graphics are excellent to visualize the data. There are numerous toolboxes that you can make use of and once you run the software, they will automatically get updated on your screen and will allow you to make changes right away.

To make your research work more attractive and appreciated you need to take the help of a simulation and modeling tool. Without the help of such a tool it is near impossible to produce innovative and extraordinary results. Simulating softwares contain various spreadsheet and logical tool for faster and efficient development of results in addition to other features. There are several simulating softwares available in the market useful for different purposes such as electronics, computer science, telecommunications and information technology. However, these softwares are designed to serve multiple functions and can be used in different domains. PhD candidates have been searching for appropriate software for their research purpose for a long time. But the wait is finally over as technology advancement has introduced the perfect simulating software, MATLAB in the market to serve the purpose of PhD students.

Various advantages
Simulating softwares like MATLAB is known to provide several benefits as compared to similar other products in the market. Explore innovative ideas– MATLAB is a language of standard software and technical computing used by several universities globally for research and engineering purpose. It lets you develop and visualize innovative ideas through image processing, computational finance and control systems. Transform ideas into action- An idea is of no use unless it is transformed into actions. MATLAB can be used for various research related work such as the analysis of weather data to track and calculate the intensity of storms and natural disasters, customize set of proven algorithms, assisting in debugging, editing and testing various designs without the need for compiling and linking.

Several available tools
MATLAB is a tool which is used to visualize outcomes of various computations and test numerical models. The experienced developers of this instrument provide customized services to PhD candidates for research work. The development tools of this software ensure precision and perfection in developing algorithms. The various tools are:

• Code Analyser: check codes automatically for errors and suggest changes for enhancing the level of performance.
• Command Window: interactively enter data, execute commands and programs, exhibit results.
• MATLAB Profiler: measure the program performance to recognize the areas of codes that require further modification and improvement.
• MATLAB Editor: containing debug and edit features, it steps over various lines of codes and sets breakpoints.

Applying this advanced simulating software requires sufficient knowledge and expertise. So, in order to get the benefits of this software you need to hire the right person for your PhD work.

Candidates working in the domain of computer networks find it difficult to choose a network simulator to analyse the network topology. Problems such as finding the shortest routing path, travelling salesman and Dijkstra algorithm confuse candidates to choose an efficient network simulator.

While Working on the ad-hoc networks, it is difficult to set the parameters such as network dimension, type of network, and how many nodes to create to work on the topology. It all required to carry out a perfect network analysis.

Let’s see, how Matlab works for your network simulation:

Creating a network topology using Matlab:

While creating a network topology, there are many things to keep in mind such as creating randomized weight nodes, network status, routing path and optimization of cost and route. The main time-consuming problem is choosing an ad-hoc network to work on. It means whether you want to work on a MANET or VANET, it completely depends on your choice. The basic difference between the MANET and VANET is that VANET needs to work on Vehicles and in VANET the nodes can be both static as well as dynamic though it works on the principle of MANET only.

For creating a topology in MATLAB, you need to create a graph with weighted nodes and edges, in short you need to develop an adjacency matrix with weights.

The main advantage of using MATLAB for creating a topology is that you don’t need to dig into the coding part, you just need to create a topology using network simulation tool box that is inbuilt with the MATLAB.

• MATLAB offers a large database of built-in algorithms for computer network and image processing applications and it’s growing on daily basis.

• Time is a crucial factor during your thesis, MATLAB allows you to save your time while testing an algorithm as it does not ask you for recompilation.

• MATLAB is a boon for thesis candidates as MATLAB desktop environment allows ou to work interactively with the data and helps you to keep track of your matlab file and variables.

•  And another unknown fact about Matlab is, its ability to import external libraries such as Open CV.

• If you are already using MATLAB for simulation, optimization, statistics and data analysis then the learning curve for using MATLAb in image processing is very quick.
•    Its ability to auto-generate C code using MATLAB Coder for a large subset of image processing and mathematical functions, which you could then use in other environments, such as embedded systems or as a component in other software.

• MATLAB has a lagre and growing community where experts post and provide solution to the problems listed in the community.

Matlab is a  high-performance language used for technical computing and adopted by many PhD candidates for their projects. It offers the integration of computation, visualization & programming environment.

Matlab provides a fast and effective alternative to created algorithm, and this is the main reason it is the software of choice for PhD Candidates.

   Let’s discuss some other features due to those Matlab is the first choice of software.

• A growing & large database of built-in algorithms for computer vision applications and image processing.
  

• Matlab doesn’t ask you for recompilation and allows you to test your algorithm immediately. You can type a command or execute a section in the editor and can immediately see the results. 

• It has easy to use graphics commands that make the result visualization immediately available. 

• Matlab offers this amazing facility of the toolbox. Specific applications are collected in packages that are referred as toolbox. These toolboxes are for symbolic computation, signal processing, control theory, power system engineering, optimization, and simulation.

• For simulating nonlinear dynamic systems, Matlab provides an interactive companion program, Simulink. It allows you to model a system by drawing a block diagram on the screen and manipulating it dynamically. Simulink is a graphical mouse driven program.

• Matlab allows you to focus on course work and application rather than programming details. It offers the great facility to solve numerical problem in a fraction of time.

Simulation software usually makes use of certain mathematical equations and formulas to arrive at the design of a specific phenomenon. Thus, it can be used in a variety of research in different fields. However, some fields of study can benefit much more from it as compared to the fields where qualitative research is done.

Simulation software can come quite handy to students who are involved in quantitative research studies that involve the use of highly complex data. The analysis of such data that is collected to understand a phenomenon can be easily done using simulation software. This is because the quantitative data can be easily reduced to mathematical formulas.

You can be largely benefitted by the use of suitable simulation software if you are conducting research in the fields of engineering, mathematics, statistics or information technology. Along with this, such software is helpful for some types of medical and nursing studies. There are some other academic fields where mathematical data is easily available. These may include the areas of economics, physics, chemistry and other natural sciences.

In fields like these too, you can easily apply relevant simulation software to simply your process of data analysis and interpretation. Simulation can help in all such studies where you observe and design a practical thing without actually spending resources on creating a physical model of it. Thus, you can choose out of a variety of simulation software in case your work can be mathematically interpreted by a computerized system.

However, you will need to identify the right simulation environment that can work according to the specifications of your study. Not every type of simulation software can be suitable for all research studies or academic fields. You may also take professional assistance in case you are unable to decide on the right software to use.

Simulink is a data flow graphical language programming tool that was developed by MathWorks. It is used for modelling, simulating, and analysing multi-domain dynamic systems.

Simulink provides quite a few useful features for its users. One of the features that users love this application for is the ease with which models can be built using it. Blocks can be dragged from the Library Browser to the Editor. The blocks can be connected with signal lines so that a mathematical relationship is established between the different components of the systems.

One of the requirements that users have is that they wish to control the appearance of the model even as they are building it. This application offers the benefit of graphical formatting tools in the form of smart guides and smart signal routing.

The Editor features in this application provide the user with complete control over what he can see and what he can use within the model that he is building. If the user wants to, he can add various commands to the editor. He can also add many sub-menus to the context menus.

One of the demands from users is that they be allowed to add a custom interface to a sub-system or to the model that they are building. The application provides this feature to them in the form of a mask. This mask enables the users to hide the subsystem’s contents. By doing this the users are able to give the sub-system with its own icon and have their own parameter dialog box.

Users would also like to navigate the system in a user friendly manner. They do not want the application to be so convoluted that they struggle to find icons and move from one feature to the next. The Explorer Bar and the Model Browser are the functions that make the work of navigation easy for the users.

The functionalities that Simulink offers are extensive in nature. It is helpful for researchers who are looking for programming software that can make the task of representing mathematical models in a flowchart form uncomplicated.

Academic research involves an in-depth analysis of data in order to arrive at such findings that can be applied to real-life situations. Simulation plays a critical role in simplifying this task. It helps you in modeling a practical phenomenon through the use of certain mathematical formulas. There are several types of research in which you may need to observe a process without actually making it happen. For example, you may want to see how a robotic device would work in reality without actually performing this task. Similar situations may occur in different types of scientific and non-scientific research.

In such situations, simulation software makes your work far easier. You may not have to perform a task and it can still be conducted in a simulated environment. For example, you may design a desired product by making use of specific simulation software. This product is designed in such a way that your actual product would be very close to it in terms of specifications and design. There is a variety of high-accuracy simulation software that is now available to support your research work well. Such software includes many kinds of applications as may be required by an IT or engineering research student. However, the use of simulation software is not limited to the scientific area.

Simulation software can be used in any academic research area where a phenomenon can be reduced down to a set of mathematical formulas, equations and data. The data can then be simulated on a computing system. This can cut down a significant amount of expenditure that is done on research processes and tools. Research students can be highly benefitted if they learn the use of relevant simulation software that may be most appropriate in their academic area or subject.

MATLAB is one of the most widely used simulation software tools that are advantageous for various analytical and computational tasks. While this software is used for application development and visualization purposes, it is also a great tool for research students to use for data analysis purposes. Developing algorithms also becomes simpler with MATLAB. An effective tool helps students in performing high-level numerical computation that is required for research data analysis and representation. The complete module of MATLAB comes with several add-on modules that are beneficial for varied tasks.

Its statistics module is of high use for the complex analysis of data so it may be turned into meaningful information. People conducting typical quantitative research may find such modules quite useful. MATLAB offers functions that may help research students in data filtering and optimization. It also assists with algebraic and statistical computations, as well as numerical integration and differential equation solving tasks. Not only this, MATLAB also allows the integration of its developed algorithms with external applications. You may additionally integrate algorithms with languages like Java, C, Excel and .NET. Thus, this tool has a wide applicability, even in the field of research.

MATLAB can be smoothly run on common operating systems, such as Windows, MAC, Linux, etc. While this simulation software can support research in almost all academic areas, it is especially beneficial for scientific, economics and engineering research. Modeling, simulation and programming tasks become far simpler when you use this tool. While students can go for a personal version of this software, it is also available with almost all professional research services providers. If you may require performing analysis using this tool, then professional statisticians may help you quickly, as they are trained on this simulation software and also have knowledge of your academic domain.