Learning In Embedded Systems
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Learning In Embedded Systems
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Author : Leslie Pack Kaelbling
language : en
Publisher: MIT Press
Release Date : 1993
Learning In Embedded Systems written by Leslie Pack Kaelbling and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics and machine learning. Presenting interesting, new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial and error experience with an external world. The text is a detailed exploration of the problem of learning action strategies in the context of designing embedded systems that adapt their behaviour to a complex, changing environment. Such systems include mobile robots, factory process controllers and long-term software databases.
Deep Learning On Embedded Systems
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Author : Tariq M. Arif
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-29
Deep Learning On Embedded Systems written by Tariq M. Arif and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Technology & Engineering categories.
Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available software Deep Learning On Embedded Systems is a comprehensive guide to the practical implementation of deep learning for engineering tasks through computers and embedded hardware such as Raspberry Pi and Nvidia Jetson Nano. After an introduction to the field, the book provides fundamental knowledge on deep learning, convolutional and recurrent neural networks, computer vision, and basics of Linux terminal and docker engines. This book shows detailed setup steps of Jetson Nano and Raspberry Pi for utilizing essential frameworks such as PyTorch and OpenCV. GPU configuration and dependency installation procedure for using PyTorch is also discussed allowing newcomers to seamlessly navigate the learning curve. A key challenge of utilizing deep learning on embedded systems is managing limited GPU and memory resources. This book outlines a strategy of training complex models on a desktop computer and transferring them to embedded systems for inference. Also, students and researchers often face difficulties with the varying probabilistic theories and notations found in data science literature. To simplify this, the book mainly focuses on the practical implementation part of deep learning using Python programming, low-cost hardware, and freely available software such as Anaconda and Visual Studio Code.To aid in reader learning, questions and answers are included at the end of most chapters. Written by a highly qualified author, Deep Learning On Embedded Systems includes discussion on: Fundamentals of deep learning, including neurons and layers, activation functions, network architectures, hyperparameter tuning, and convolutional and recurrent neural networks (CNNs & RNNs) PyTorch, OpenCV, and other essential framework setups for deep transfer learning, along with Linux terminal operations, docker engine, docker images, and virtual environments in embedded devices. Training models for image classification and object detection with classification, then converting trained PyTorch models to ONNX format for efficient deployment on Jetson Nano and Raspberry Pi. Deep Learning On Embedded Systems serves as an excellent introduction to the field for undergraduate engineering students seeking to learn deep learning implementations for their senior capstone or class projects and graduate researchers and educators who wish to implement deep learning in their research.
Learning Embedded Systems With Msp432 Microcontrollers
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Author : Byul Hur
language : en
Publisher:
Release Date : 2021-08-30
Learning Embedded Systems With Msp432 Microcontrollers written by Byul Hur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-30 with Computers categories.
This book can assist you to learn about embedded systems using an MSP432 microcontroller. This third edition was written based on the use of an MSP432P401R MCU and Code Composer Studio. This book can used as a support material for microcontroller and embedded system courses. This book covers MSP432, GPIO, timers, display, interrupt, and ADC. Moreover, this book covers topics of software architectures, PWM, motor control, serial communications, TI Driver library, TI RTOS, Power management, and embedded system security. This book was written for undergraduate engineering students and the audience having similar prior knowledge and skills.
A Visualiser For Embedded Systems
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Author : Bill Collis
language : en
Publisher:
Release Date : 2014
A Visualiser For Embedded Systems written by Bill Collis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Embedded computer systems categories.
Over a period spanning more than ten years I developed a programme of learning in the area of embedded systems for secondary school students at Mount Roskill Grammar School. This programme currently involves 12 classes totalling 350 students. Learning is centred on the ATMEL AVR range of microcontrollers and forms part of students' studies in Technology Education. It is taught by four teachers some of whom do not have strengths in electronics and programming. Resources I have developed to support students and colleagues include a website, a textbook and a computer program called 'System Designer'. For a number of years there has been a developing awareness of issues concerning my own students' understandings of software for embedded systems which are confounded by the hidden nature of embedded systems and the disparate nature of embedded systems development. This research presents a journey towards a deeper appreciation of students learning needs and the development and testing of a novel visualisation tool for embedded systems targeted at novice embedded systems learners. Literature about the difficulties of novice programmers along with the learning needs of novices in the field of embedded systems was reviewed to inform this research. The context of this study is secondary school learning so other pertinent literature that informs learning in the classroom was also reviewed; this includes educational theory, pedagogy, model-based learning, research from engineering education, the New Zealand Curriculum and the changing metaphor for learning in New Zealand technology education from an acquisition to a participatory model. To facilitate development of the visualiser a range of program visualisers and embedded systems simulators were analysed using research into best practices for model-based learning tools. Lexers and parsers were then written to create interpreters for both C and BASIC languages and the visualiser incorporating these was integrated into the existing System Designer application. Further the visualiser was developed as a staged learning tool to negate cognitive load issues for learners. To support colleagues who will use the tool a range of tasks have been developed and options to extend some features of the visualiser have been implemented as well. The visualiser and some tasks were tested in a qualitative study with second year engineering students who were unfamiliar with embedded systems. Lecturers were also interviewed to gain their insights into the new tool. The goals of the study were to understand how novice embedded systems learner's related to the visualiser as a model-based learning environment and secondly to identify its benefits for novice learners of embedded systems. The study was positive for the visualiser as a model-based learning tool, and valuable for revealing errors and modifications before implementation at school. A visualiser is an analogy of a real system, as such it has limitations which experts recognise but which novice learners do not. A planned result was to explore limitations of the visualiser. One key limitation is well known and relates to when learners single step through program code rather than run it at normal speed; in this case understandings of the real-time and reactive nature of embedded systems are not fully appreciated by novice learners. While modifications to the visualiser were made to counter some of this effect, teachers must work within this limitation and not expect students to comprehend it for themselves. For novice learners of embedded systems the visualiser showed significant benefits in terms of the interrelatedness of hardware and software, the concept of state and the reactive nature of embedded systems. Some of these understandings are inherent in the visualiser and some of them require careful choice of contextualised tasks for students to engage their understandings. Exploration of real-time and concurrent aspects of programming embedded systems is still required. Programming thinking was an important part of this research because for students learning about embedded systems at school this is their introduction to programming as well. Literature into programming thinking revealed a range of surface and deep understandings that novice programmers need to develop as well as the importance of engaging students in their own learning via the tasks given to them. The results of testing showed how the visualiser and the tasks used with students contribute to these understandings; specifically that deeper understandings require tasks with real-life contexts. One significant outcome of this research has been how the literature review and the opportunity to engage in depth with a few learners has informed understandings about what students experience while learning; this has deepened my pedagogical content knowledge - the blend of subject matter with educational practice. Key words: program visualisation, mental model, novice learner, embedded systems learning, learning to program.
Learning Embedded Android N Programming
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Author : Ivan Morgillo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-07-29
Learning Embedded Android N Programming written by Ivan Morgillo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-29 with Computers categories.
Create the perfectly customized system by unleashing the power of Android OS on your embedded device About This Book Understand the system architecture and how the source code is organized Explore the power of Android and customize the build system Build a fully customized Android version as per your requirements Who This Book Is For If you are a Java programmer who wants to customize, build, and deploy your own Android version using embedded programming, then this book is for you. What You Will Learn Master Android architecture and system design Obtain source code and understand the modular organization Customize and build your first system image for the Android emulator Level up and build your own Android system for a real-world device Use Android as a home automation and entertainment system Tailor your system with optimizations and add-ons Reach for the stars: look at the Internet of Things, entertainment, and domotics In Detail Take a deep dive into the Android build system and its customization with Learning Embedded Android Programming, written to help you master the steep learning curve of working with embedded Android. Start by exploring the basics of Android OS, discover Google's “repo” system, and discover how to retrieve AOSP source code. You'll then find out to set up the build environment and the first AOSP system. Next, learn how to customize the boot sequence with a new animation, and use an Android “kitchen” to “cook” your custom ROM. By the end of the book, you'll be able to build customized Android open source projects by developing your own set of features. Style and approach This step-by-step guide is packed with various real-world examples to help you create a fully customized Android system with the most useful features available.
Embedded Machine Learning With Microcontrollers
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Author : Cem Ünsalan
language : en
Publisher: Springer Nature
Release Date : 2024-10-21
Embedded Machine Learning With Microcontrollers written by Cem Ünsalan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-21 with Computers categories.
This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers and embedded machine learning systems. Following the learning-by-doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples, providing them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify microcontroller properties easily, the material allows for fast implementation of the developed system. Students are guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and real-world projects are available for readers and instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.
Learning Embedded Systems With Msp432 Microcontrollers
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Author : Byul Hur
language : en
Publisher:
Release Date : 2020-01-13
Learning Embedded Systems With Msp432 Microcontrollers written by Byul Hur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-13 with categories.
(note) This book is a early-release version for a certain course. The author is not actively promoting this book to a general audience yet until the second edition which is planned to be published through this summer. The second volume of the first edition will be available in February.This book can assist you to learn about embedded system applications using a MSP432 microcontroller. It was written for a Code Composer Studio IDE environment. This book can used as a support material for microcontroller and embedded system courses. This MSP432 series book is split into two volumes. This is the first book in MSP432 series.The first volume covers basics of the MSP432, GPIO, basics of timers, display, interrupt, and ADC. The second volume covers software architectures, PWM, motor control, serial communications, Driver library, RTOS, and embedded system security. This is the collection of lecture notes from microcontroller and embedded system courses. This embedded system book was not written to target a broad audience but, it is written for junior or senior level undergraduate students.
Machine Learning For Embedded System Security
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Author : Basel Halak
language : en
Publisher: Springer Nature
Release Date : 2022-04-22
Machine Learning For Embedded System Security written by Basel Halak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-22 with Technology & Engineering categories.
This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.
Learning Embedded Systems With Msp430 Fram Microcontrollers
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Author : Byul Hur
language : en
Publisher:
Release Date : 2022-08-27
Learning Embedded Systems With Msp430 Fram Microcontrollers written by Byul Hur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-27 with categories.
This book can help you to learn about embedded systems using an MSP430 FRAM microcontroller. This book is the first edition based on an MSP430FR5994 MCU and Code Composer Studio. This book is suitable for a textbook or support materials for an embedded system course or microcontroller application course. This book covers MSP430 FRAM MCUs, GPIO, Timers, Display, Interrupt, and ADC. Moreover, this book covers topics of Software architectures, PWM, Motor control, Serial communications, TI Driver library, TI RTOS, Power management, and Embedded system security. The target audiences of this book include undergraduate engineering students and readers who have similar prior knowledge.
Embedded Engineering Education
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Author : Roman Szewczyk
language : en
Publisher: Springer
Release Date : 2016-01-19
Embedded Engineering Education written by Roman Szewczyk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-19 with Technology & Engineering categories.
This book focuses on the outcome of the European research project “FP7-ICT-2011-8 / 317882: Embedded Engineering Learning Platform” E2LP. Additionally, some experiences and researches outside this project have been included. This book provides information about the achieved results of the E2LP project as well as some broader views about the embedded engineering education. It captures project results and applications, methodologies, and evaluations. It leads to the history of computer architectures, brings a touch of the future in education tools and provides a valuable resource for anyone interested in embedded engineering education concepts, experiences and material. The book contents 12 original contributions and will open a broader discussion about the necessary knowledge and appropriate learning methods for the new profile of embedded engineers. As a result, the proposed Embedded Computer Engineering Learning Platform will help to educate a sufficient number of future engineers in Europe, capable of designing complex systems and maintaining a leadership in the area of embedded systems, thereby ensuring that our strongholds in automotive, avionics, industrial automation, mobile communications, telecoms and medical systems are able to develop.