Keshav Kumar

This book is a complete, industry-driven text to teach readers practical MATLAB skills in engineering, data analysis, automation, modeling, and simulation, as well as the ability to build intelligent systems. From practical workflows to hands-on examples and industry applications, the book fills the gap between theory learning using MATLAB and application in the engineering lab. Starting from the basics of MATLAB, the book then shifts its focus toward the latest technologies in engineering: signal processing, image processing, machine learning, automation, working with Simulink units and system design, and finally to hardware integration, data preprocessing, and data visualization. Fundamental engineering principles and implementation-oriented examples using MATLAB code are introduced in each chapter to simulate real industrial situations. Readers are provided with a set of directions on how to read, pre-process data, create scalable MATLAB programs, visualize engineering data, automate repetitive processes, and create mathematical models and simulation models. The book provides a good introduction to how machine learning techniques can be used in engineering applications. The book also covers advanced topics such as time-series analysis, image processing, workflow optimization, real-time system modeling, and interfacing with hardware using Arduino and Raspberry Pi. The book is unique in focusing on problems, practical applications to the actual world, and scalability of engineering procedures compared to syntax-focused MATLAB books. The book provides practical guidelines for students, researchers, engineers, and professionals who want to use MATLAB for applied engineering, academic study, industry control, and automation in today's engineering environment. What You Will Learn: · Gain an understanding of the basics of MATLAB and typical engineering practices · Write efficient and scalable MATLAB programs · Dig into real-life data import, data cleaning, data pre-processing, and data analysis · Develop engineering drawings, renderings, and reports in 2D and 3D professional formats · Develop mathematical modeling and engineering simulations · Use optimization and computational skills numerically · Analyze time-series data and perform signal processing · Build up image processing and computer vision programs · Apply workflows for machine learning and data analytics to MATLAB · Simplify engineering tasks and streamline computational processes · Model and simulate a system using Simulink · Connect MATLAB to hardware platforms, IoT systems, APIs, and other applications Who This Book Is for: Beginning-Intermediate engineering students (undergraduate and postgraduate) and professionals (such as data analysts) who want to build their skills to use MATLAB for practical, real-world engineering workflows, data analysis, modeling, automation, simulation, machine learning, and hardware integration as well as intelligent data-driven applcations

This study presents the development of a rainfall-runoff model for the Bagmati River Basin using Artificial Neural Network (ANN) techniques. Recognizing the crucial role of accurate runoff estimation for flood forecasting, water resource planning, and environmental management, a three-layered feedforward ANN model with backpropagation was employed. The model was trained and validated using monthly and seasonal rainfall-runoff data from 2000 to 2009. Three different data set combinations were analyzed to assess model performance sensitivity with varying calibration and validation periods. Among them, the dataset calibrated with the entire 2000-2009 period and validated over 2007-2009 produced the most accurate results. Statistical performance metrics affirmed the ANN model's capability to capture the non-linear characteristics of the rainfall-runoff relationship effectively. This study highlights the robustness, adaptability, and predictive strength of ANN in hydrological modeling applications.

The text discusses the designing of field-programmable gate array-based green computing circuits for efficient green communication. It will help senior undergraduate, graduate students, and academic researchers from diverse engineering domains such as electrical, electronics and communication, and computer. Discusses hardware description language coding of green communication computing (GCC) circuitsPresents field-programmable gate arrays-based power-efficient modelsExplores the integrations of universal asynchronous receiver/transmitter and field-programmable gate arraysCovers architecture and programming tools of field-programmable gate arraysShowcases Verilog and VHDL codes for green computing circuits such as finite impulse response filter, parity checker, and packet counterThe text discusses the designing of energy-efficient network components, using low voltage complementary metal-oxide semiconductors, high-speed transceiver logic, and stub series-terminated logic input/output standards. It showcases how to write Verilog and VHDL codes for green computing circuits including finite impulse response filter, packet counter, and universal asynchronous receiver-transmitter.

The text discusses the designing of field-programmable gate array-based green computing circuits for efficient green communication. It will help senior undergraduate, graduate students, and academic researchers from diverse engineering domains such as electrical, electronics and communication, and computer. Discusses hardware description language coding of green communication computing (GCC) circuitsPresents field-programmable gate arrays-based power-efficient modelsExplores the integrations of universal asynchronous receiver/transmitter and field-programmable gate arraysCovers architecture and programming tools of field-programmable gate arraysShowcases Verilog and VHDL codes for green computing circuits such as finite impulse response filter, parity checker, and packet counterThe text discusses the designing of energy-efficient network components, using low voltage complementary metal-oxide semiconductors, high-speed transceiver logic, and stub series-terminated logic input/output standards. It showcases how to write Verilog and VHDL codes for green computing circuits including finite impulse response filter, packet counter, and universal asynchronous receiver-transmitter.