Relevant bibliographies by topics / Arm Microcontroller Implementation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Arm Microcontroller Implementation'

Author: Grafiati
Published: 11 September 2021
Last updated: 6 February 2022

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Journal articles on the topic "Arm Microcontroller Implementation"

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Baans, Omar Salem, and Asral Bahari Jambek. "Implementation of an ARM-based system using a Xilinx ZYNQ SoC." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (February 1, 2019): 485. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp485-491.

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<span>ARM processors are widely used in embedded systems. They are often implemented as microcontrollers, field-programmable gate arrays (FPGAs) or systems-on-chip. In this paper, a variety of ARM processor platform implementations are reviewed, such as implementation into a microcontroller, a system-on-chip and a hybrid ARM-FPGA platform. Furthermore, the implementation of a specific ARM processor, the Cortex-A9 processor, into a system-on-chip (SoC) on an FPGA is discussed using Xilinx’s Vivado and SDK software system and execution on a Xilinx Zynq Board.</span>
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Seo, Hwajeong, Hyunjun Kim, Kyoungbae Jang, Hyeokdong Kwon, Minjoo Sim, Gyeongju Song, and Siwoo Uhm. "Compact Implementation of ARIA on 16-Bit MSP430 and 32-Bit ARM Cortex-M3 Microcontrollers." Electronics 10, no. 8 (April 11, 2021): 908. http://dx.doi.org/10.3390/electronics10080908.

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In this paper, we propose the first ARIA block cipher on both MSP430 and Advanced RISC Machines (ARM) microcontrollers. To achieve the optimized ARIA implementation on target embedded processors, core operations of ARIA, such as substitute and diffusion layers, are carefully re-designed for both MSP430 (Texas Instruments, Dallas, TX, USA) and ARM Cortex-M3 microcontrollers (STMicroelectronics, Geneva, Switzerland). In particular, two bytes of input data in ARIA block cipher are concatenated to re-construct the 16-bit wise word. The 16-bit word-wise operation is executed at once with the 16-bit instruction to improve the performance for the 16-bit MSP430 microcontroller. This approach also optimizes the number of required registers, memory accesses, and operations to half numbers rather than 8-bit word wise implementations. For the ARM Cortex-M3 microcontroller, the 8×32 look-up table based ARIA block cipher implementation is further optimized with the novel memory access. The memory access is finely scheduled to fully utilize the 3-stage pipeline architecture of ARM Cortex-M3 microcontrollers. Furthermore, the counter (CTR) mode of operation is more optimized through pre-computation techniques than the electronic code book (ECB) mode of operation. Finally, proposed ARIA implementations on both low-end target microcontrollers (MSP430 and ARM Cortex-M3) achieved (209 and 96 for 128-bit security level, respectively), (241 and 111 for 192-bit security level, respectively), and (274 and 126 for 256-bit security level, respectively). Compared with previous works, the running timing on low-end target microcontrollers (MSP430 and ARM Cortex-M3) is improved by (92.20% and 10.09% for 128-bit security level, respectively), (92.26% and 10.87% for 192-bit security level, respectively), and (92.28% and 10.62% for 256-bit security level, respectively). The proposed ARIA–CTR implementation improved the performance by 6.6% and 4.0% compared to the proposed ARIA–ECB implementations for MSP430 and ARM Cortex-M3 microcontrollers, respectively.
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Li, Xin Li. "Implementation of USB in Embedded Systems Based on ARM Microprocessor." Applied Mechanics and Materials 596 (July 2014): 883–87. http://dx.doi.org/10.4028/www.scientific.net/amm.596.883.

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S3C4510B is a cost-effective 16/32 bit RISC microcontroller based on Ethernet application system, and ISP1161 is a chip which is designed to implement USB protocol in an embedded system. Here, we design and implement embedded systems USB with ISP1161 chip based on ARM microprocessor S3C4510B. This paper describes the basic working principle of ISP1161 chip and hardware design of the system, and presents the software implementation process of USB in embedded systems.
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Chaber, Patryk, and Maciej Lawrynczuk. "Fast Analytical Model Predictive Controllers and Their Implementation for STM32 ARM Microcontroller." IEEE Transactions on Industrial Informatics 15, no. 8 (August 2019): 4580–90. http://dx.doi.org/10.1109/tii.2019.2893122.

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Moallem, Payman, Abalfazl Zargari, and Arash Kiyoumarsi. "Improving IEC flickermeter for implementation by an ARM microcontroller-based digital system." Transactions of the Institute of Measurement and Control 35, no. 3 (May 15, 2012): 342–52. http://dx.doi.org/10.1177/0142331212439598.

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Wang, Hong Yi, Qing Yang, Jian Fei Wu, and Jian Cheng Li. "A Novel Implementation of UHF RFID Reader." Applied Mechanics and Materials 190-191 (July 2012): 642–46. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.642.

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The radio frequency identification technology is a kind of emerging non-contact identification technology. In the study of radio frequency identification reader, the traditional microcontroller-based architecture can’t meet the system requirements due to the limited processing ability. In this paper, the author designs a UHF RFID reader based on the ARM processor and FPGA, compared to the microcontroller-based architecture, the reader deals faster. The reader consists of three parts, namely, the protocol processing module, the digital baseband module and the RF module.
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Rajesh Kannan, Megalingam, Menon Deepansh, Ajithkumar Nitin, and Saboo Nihil. "Implementation of Gesture Control in Robotic Arm Using Kinect Module." Applied Mechanics and Materials 786 (August 2015): 378–82. http://dx.doi.org/10.4028/www.scientific.net/amm.786.378.

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This research work is targeted at building and analyzing a robotic arm which mimics the motion of the human arm of the user. The propsed system monitors the motion of the user’s arm using a Kinect. Using the “Kinect Skeletal Image” project of Kinect SDK, a skeletal image of the arm is obtained which consists of 3 joints and links connecting them. 3-D Coordinate Geometry techniques are used to compute the angles obtained between the links. This corresponds to the angles made by the different segments of the human arm. In this work we present the capturing of human hand gestures by Kinect and analyzing it with suitable algorithms to identify the joints and angles. Also the arduino based microcontroller used for processing Kinect data is presented.
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Ovy, Enaiyat Ghani, Shah Muhammad Ferdous, Mohammad Rokonuzzaman, and Nurul Absar Chowdhury. "Design and Implementation of an Articulated Robotic Arm for Precise Positioning." Advanced Materials Research 201-203 (February 2011): 1972–77. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.1972.

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This project is intended to design an articulated robotic arm which could locate a point in space with its given coordinates at three degrees of freedom. The basic three rotary movements are base rotation, first and second arm swivel. With different payload capability and design, the robot can be employed in various industrial applications including spot welding, assembling, cutting, material handling and many more. The mechanical structure is designed and a physical setup is developed for which a microcontroller based control circuit is designed for the purpose of control. This paper is focused mainly on the mechanical design of the structure. An elaborate analytic description of the components and tools is presented with necessary specifications. This structure is very flexible and has the ability to reach over obstructions. It can achieve different positions and orientations with in the working envelop.
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Alessandrini, Michele, Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Lorenzo Manoni, and Claudio Turchetti. "Singular Value Decomposition in Embedded Systems Based on ARM Cortex-M Architecture." Electronics 10, no. 1 (December 28, 2020): 34. http://dx.doi.org/10.3390/electronics10010034.

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Singular value decomposition (SVD) is a central mathematical tool for several emerging applications in embedded systems, such as multiple-input multiple-output (MIMO) systems, data analytics, sparse representation of signals. Since SVD algorithms reduce to solve an eigenvalue problem, that is computationally expensive, both specific hardware solutions and parallel implementations have been proposed to overcome this bottleneck. However, as those solutions require additional hardware resources that are not in general available in embedded systems, optimized algorithms are demanded in this context. The aim of this paper is to present an efficient implementation of the SVD algorithm on ARM Cortex-M. To this end, we proceed to (i) present a comprehensive treatment of the most common algorithms for SVD, providing a fairly complete and deep overview of these algorithms, with a common notation, (ii) implement them on an ARM Cortex-M4F microcontroller, in order to develop a library suitable for embedded systems without an operating system, (iii) find, through a comparative study of the proposed SVD algorithms, the best implementation suitable for a low-resource bare-metal embedded system, (iv) show a practical application to Kalman filtering of an inertial measurement unit (IMU), as an example of how SVD can improve the accuracy of existing algorithms and of its usefulness on a such low-resources system. All these contributions can be used as guidelines for embedded system designers. Regarding the second point, the chosen algorithms have been implemented on ARM Cortex-M4F microcontrollers with very limited hardware resources with respect to more advanced CPUs. Several experiments have been conducted to select which algorithms guarantee the best performance in terms of speed, accuracy and energy consumption.
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G, Ravichandran, and M. Krishnamurthy. "Design and Implementation of Smart Non-Invasive Bone Conduction Ear-Plug System." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (February 1, 2018): 249. http://dx.doi.org/10.11591/ijeecs.v9.i2.pp249-252.

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<p>The project aim is to design a smart earplug system integrated with non-invasive bone conduction technique which is capable of doing some advanced audio processing to provide voice enhancing, noise filtered audio for the hearing impaired people [2]. The system is also designed to work as an embedded music player, a life activity tracker and a Smartphone companion. It can even read the SMS that is just received on your smartphone into your ear. This project needs a very low power microcontroller but with high-performance signal processing requirements. STM32L476 from STMicroelectronics meets this needs and thus chosen as the main MCU. It is an ultra-low power ARM Cortex-M4 based microcontroller that can run up to 80MHz. It has got 1MB of Flash memory and 128 KB RAM.</p>
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Dissertations / Theses on the topic "Arm Microcontroller Implementation"

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Cneazovici, Fabian. "Implementation of a Visible Light Communication System on 32-bit ARM Microcontrollers." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Nel presente lavoro di tesi l'obietto è stato l'implementazione di un sistema di Visible Light Communication (VLC) sfruttando dei microcontrollori ARM a 32 bit, più precisamente i STM32 Nucleo-L432KC Board di STMicroelectronics. L'implementazione è consistita nello sviluppo software dei blocchi di codifica/decodifica, modulazione/demodulazione e di sincronizzazione che vanno a costituire il trasmettitore e il ricevitore. VLC è una tecnologia di comunicazione wireless che sfrutta la luce visibile, invece delle onde a frequenze radio, come mezzo per la trasmissione dell'informazione. Quindi, trasmettitore e ricevitore devono essere dotati rispettivamente di una fonte di luce e di un fotosensore, in sostituzione alle antenne. Per quanto riguarda il trasmettitore, la fonte di luce è sempre a base di LED, in quanto quest’ultimi presentano enormi vantaggi rispetto alle tradizionali fonti di luce a incandescenza e fluorescenza, tra cui l'elevata velocità di commutazione tra due livelli diversi di intensità luminosa che consente la trasmissione di dati ad elevate velocità. Per il ricevitore invece, il fotosensore può essere un fotorilevatore, cioè un fotodiodo, oppure un sensore d’immagine, cioè il sensore della fotocamera. Nel caso del presente progetto, in trasmissione è stato usato un solo LED mentre in ricezione un fotodiodo. Il sistema VLC implementato, a causa di problemi legati ai timer, è affetto da problemi di sincronizzazione che potrebbero essere risolti con l'introduzione di algoritmi di recupero del sincronismo di simbolo. Tale problematica viene meglio descritta nell'elaborato di tesi, come vengono anche fornite una più dettagliata descrizione della tecnologia VLC e dell'implementazione del sistema. Inoltre, vengono anche suggerite, oltre all'introduzione dell'algoritmo di recupero del sincronismo di simbolo, anche altri possibili sviluppi futuri di tale progetto.
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Wang, Tai-Yuan, and 王泰元. "Implementation a line following robot based on ARM Cortex-M3 microcontroller." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/09685545852676630735.

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蘇暉晴. "The Design and FPGA Implementation of 32-bit ARM-like Microcontroller." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/89948454858208399730.

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碩士
國立臺灣師範大學
工業教育研究所
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This study focuses on the design of 32-bit CPU that will execute the most often used instructions the ARM CPU. By downloading the program into chip, we can observe the inner change of ARM from the LED and 7-Segment display in instruction execution. At first, we design the initial framework of the CPU by choosing some most useful instructions and then increase the complexity by incorporated some other instructions gradually. Then, we write the application program and observe the result of executing program in the platform circuit. The study puts the emphasis on integrating the circuit design and the function simulation into a low-cost self-made platform board. The platform board can also be used in developing many kinds of large circuit in future.
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Li, Hao-Chen, and 李浩誠. "Discrete-time Adaptive Control and Embedded ARM-Microcontroller Implementation for a Three-axis Nanopositioner." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/32156359091306396863.

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Guia, Sabrina Santos. "A Platform to Support the Development of Applications Based on the Segmentation and Labelling Algorithm." Master's thesis, 2015. http://hdl.handle.net/10400.6/5975.

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The need for networks of sensor that operate in an increasingly efficient way is contributing to boost the research methods with the aiming of find the best methods about how to manage the information. At the same time, the technological explosion that is taking care of our daily life, have influence not only on what is likely to be standardized, but also in the possibility of execution. An example of this is the need to exchange the knowledge about how the sensor’s signal behaves in a standardized manner, as well as, some of its features and isolated parameters. The compaction of data to be managed and transmitted clearly becomes useful, especially when there is interest in the study of signal characteristics, such as; amplitude; the presence of noise; steady state values tendency, etc. Small parameter capable of induce the general behaviour of the measured signal. In the world of sensors, intelligence is focused on the same point of measurement made by the transducer. From this point, three algorithms are presented. The first is based on the rapid measurement of procedural techniques of the Fourier transform (FFT), while the second is based on the compressive sampling theory (CS). Finally it is presented a proposed algorithm, in the time domain, based on the processes of segmentation and labelling (S&L) of a sampled signal that is also proposed for defining the new IEEE 1451 standard. The main goal of this work is focused on the management of a smaller amount of data, but the acquisition of the same amount and quality of information. Thus, the ideal is that the signal is sampled in order to create redundancy between neighbouring samples. It is therefore not necessary segmentation of each pair of samples, storing and transferring only the samples that are held to bring important information. As a result of the segmentation process, two vectors are obtained for storing amplitudes and time indices of samples and labelling process, the segments are classified according to their behaviour in eight different classes and stored in a third vector. This set of MCT vectors offers a structurally standardized platform that supports sensor’s data exchange. The reconstruction of the acquired signal is also allowed by this structure. The method was implemented and each function and their respective operating modes are described in detail. In addition, input and output parameters of each function are also described. Afterwards, the project was prepared to implement in a microcontroller, whose architecture from ARM. In order to demonstrate the performance of the proposed algorithm, experimental results in the area of instrumentation, analysis and signal processing, are reported and exposed. After the execution of the above-mentioned procedure, the sequence segments analysis reveals that the algorithm has the ability to extract global information form the acquired signals, such as a human observer. In addition, its low computational cost allows the inclusion of the proposed method in smart sensors in a variety of application, enabling execution in real time. The document is divided into four chapters. In the first chapter is made a brief research concerning the state of the art related with the main subject of this work. Theoretical considerations concerning knowledge extraction from sample, analysis and data processing are presented. The best known algorithms are described in the second chapter special focus is given observing the application area. In the third chapter software and hardware tools used in the implementation process are described. The fourth chapter carries out the implementation of the proposed algorithm and described the respective implementation. The members of API functions are individually tested and the results presented and analysed. In the fifth, and final, chapter final observations are drawn with conclusions. Suggestion about future work is also presented.
A necessidade do uso de redes de sensores que operem de forma cada vez mais eficiente impulsiona os métodos de investigação destinados à melhoria da gestão de informação. Ao mesmo tempo, a explosão tecnológica que se apodera da nossa vida quotidiana, tem uma influência não só sobre o que é plausível a ser padronizado, mas também na sua possibilidade de execução. Um exemplo disso é a necessidade de intercâmbio de conhecimento do comportamento do sinal do sensor de forma padronizada, bem como de algumas das suas características e parâmetros isolados. A diminuição de dados a serem geridos e transmitidos torna-se claramente útil, em especial, quando há interesse no estudo de características dos sinais, tais como: amplitude, presença de ruido, tendência para valores em estado estacionário, etc., pequenos parâmetros capazes de induzir o comportamento geral do sinal medido. No mundo dos sensores, a inteligência dos mesmos é concentrada no ponto de medição efetuada pelo transdutor. A partir deste ponto, são apresentados três algoritmos. O primeiro é baseado na técnica de procedimento de medição rápida da transformada de Fourier (FFT), enquanto o segundo é baseado na teoria de amostragem compressiva (CS). Por último apresenta-se uma proposta de algoritmo, no domínio do tempo, baseado nos processos de segmentação e rotulagem (S&L) da sobre amostragem de um sinal, também proposto para a definição do novo padrão do IEEE 1451. Sendo que o seu objetivo principal foca-se na gestão de uma quantidade menor de dados, mas na aquisição da mesma quantidade e qualidade de informação. Deste modo, o ideal será que o sinal seja sobre amostrado, por forma a criar redundância entre as amostras vizinhas. Não sendo por isso necessária a segmentação de cada par de amostras, armazenando e transferindo apenas as amostras que forem consideradas portadoras de informação importante. Como resultado do processo de segmentação, são obtidos dois vetores para o armazenamento das amplitudes e índices de tempo das amostras essenciais, e do processo de rotulagem, os segmentos são classificados, segundo o seu comportamento, em oito classes diferentes e armazenados num terceiro vetor. O conjunto com vetores, MCT, forma uma plataforma estruturalmente normalizada de apoio à cooperação de dados sensoriais. A mesma permite, também, assegurar a reconstrução do sinal adquirido. Este último foi implementado e cada função e seus respetivos módulos de operação foram descritos ao pormenor. Além disso, foram também indicados os respetivos parâmetros de entrada e de saída de cada função. Posteriormente, o projeto foi preparado para implantação num microcontrolador, cuja arquitetura é ARM. Resultados experimentais são relatados e expostos, com a finalidade de demonstrar o desempenho do algoritmo proposto, na área de aquisição, análise e processamento de sinais. Após execução do procedimento anteriormente mencionado, a análise de sequência de segmentos revela que o algoritmo possui a capacidade de extrair informações globais, de sinais adquiridos, à semelhança do comportamento de um observador Humano. Além disso, o seu reduzido custo computacional permite a sua incorporação em sensores inteligentes destinados aos mais variados contextos de aplicação, viabilizando a sua execução em tempo real. O documento está dividido em quatro capítulos. No primeiro capítulo é feita uma breve investigação do estado da arte, são apresentadas as considerações teóricas na área de extração de conhecimento a partir da aquisição, análise e processamento de dados. No segundo capítulo são descritos os algoritmos mais conhecidos no que diz respeito à aplicação na área de estudo. No terceiro, são mostradas as ferramentas de software e os dispositivos de hardware aplicados à respetiva implementação e implantação do projeto de programação. No quarto capítulo é realizada a implementação do algoritmo proposto e feita a respetiva implantação do mesmo. As funções integrantes da API são individualmente testadas e os resultados expostos e analisados. No quinto, e último, capítulo são feitas as considerações finais, tiradas as respetivas conclusões e apresentadas as sugestões de trabalho futuro.
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Book chapters on the topic "Arm Microcontroller Implementation"

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Dario Mirelez-Delgado, Flabio, José Ronaldo Díaz-Paredes, and Miguel Abraham Gallardo-Carreón. "Stewart-Gough Platform: Design and Construction with a Digital PID Controller Implementation." In Automation and Control [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.91817.

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This document presents the design of a digital PID control for a Stewart-Gough platform, delimited by six degrees of freedom (DoF) that allow the final effector to have displacement in the XYZ axes and rotation with warpage, pitch, and yaw restrictions. It includes the study and resolution of the direct and inverse kinematics of the platform, as well as the workspace described by the final effector and its corresponding simulation of movements and joints to study extreme points and possible singularities. From the definition of characteristics, the CAD design generated from the generalized mathematical model of the public domain, and the general selection of materials for the construction of the functional prototype, a study of applied forces is generated to observe the points with stress concentrators, the safety factor, and possible deformations. The estimation of the sampling period for the selection of the microcontroller and an approximate definition of the response time are also considered. The development of this prototype and its documentation are proposed as didactic material for the study, design, and control of parallel mechanisms.
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Ben Hariz, Maher, Faouzi Bouani, and Mekki Ksouri. "Design of a Controller with Time Response Specifications on STM32 Microcontroller." In Handbook of Research on Advanced Intelligent Control Engineering and Automation, 624–50. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7248-2.ch023.

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The basic idea of this chapter is to implement a fixed low order controller on an electronic system using the STM32 microcontroller. The principal aim of this controller is to guarantee some time response specifications as the settling time and the overshoot. The controller parameters are obtained by minimizing a non-convex optimization problem while taking into account the desired closed-loop performances. Accordingly, the resolution of this sort of problem with classical optimization method may lead to a local solution and the achieved control law is not optimal. Hence, with an aim of obtaining an optimal solution that will be able to satisfy the desired specifications, the use a global optimization method is recommended. In this chapter, the Generalized Geometric Programming (GGP) method is exploited. The practical implementation, on a fast electronic system, of the designed control law and a Proportional Integral (PI) controller illustrates the effectiveness of the proposed algorithm.
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Sankaranarayanan, Suresh, and Srijanee Mookherji. "SVM-Based Traffic Data Classification for Secured IoT-Based Road Signaling System." In Research Anthology on Artificial Intelligence Applications in Security, 1003–30. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7705-9.ch047.

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The traffic controlling systems at present are microcontroller-based, which is semi-automatic in nature where time is the only parameter that is considered. With the introduction of IoT in traffic signaling systems, research is being done considering density as a parameter for automating the traffic signaling system and regulate traffic dynamically. Security is a concern when sensitive data of great volume is being transmitted wirelessly. Security protocols that have been implemented for IoT networks can protect the system against attacks and are purely based on standard cryptosystem. They cannot handle heterogeneous data type. To prevent the issues on security protocols, the authors have implemented SVM machine learning algorithm for analyzing the traffic data pattern and detect anomalies. The SVM implementation has been done for the UK traffic data set between 2011-2016 for three cities. The implementation been carried out in Raspberry Pi3 processor functioning as an edge router and SVM machine learning algorithm using Python Scikit Libraries.
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Sankaranarayanan, Suresh, and Srijanee Mookherji. "SVM-Based Traffic Data Classification for Secured IoT-Based Road Signaling System." In Research Anthology on Artificial Intelligence Applications in Security, 1003–30. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7705-9.ch047.

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The traffic controlling systems at present are microcontroller-based, which is semi-automatic in nature where time is the only parameter that is considered. With the introduction of IoT in traffic signaling systems, research is being done considering density as a parameter for automating the traffic signaling system and regulate traffic dynamically. Security is a concern when sensitive data of great volume is being transmitted wirelessly. Security protocols that have been implemented for IoT networks can protect the system against attacks and are purely based on standard cryptosystem. They cannot handle heterogeneous data type. To prevent the issues on security protocols, the authors have implemented SVM machine learning algorithm for analyzing the traffic data pattern and detect anomalies. The SVM implementation has been done for the UK traffic data set between 2011-2016 for three cities. The implementation been carried out in Raspberry Pi3 processor functioning as an edge router and SVM machine learning algorithm using Python Scikit Libraries.
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Mehta, Shilpa. "Digital Building Blocks using Perceptrons in Neural Networks." In SCRS CONFERENCE PROCEEDINGS ON INTELLIGENT SYSTEMS. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-93-91842-08-6-8.

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Most microprocessors and microcontrollers are based on Digital Electronics building Blocks. Digital Electronics gives us a number of combinational and sequential circuits for various arithmetic and logical operations. These include Adders, Subtracters, Encoders, Decoders, Multiplexers, DE multiplexers and Flip Flops. These further combine into higher configurations to perform advanced operations. These operations are done using logic circuits in digital electronics. But in this paper, we explore the human reasoning approach using artificial neural networks. We will look into neural implementations of logic gates implemented with SLP (Single layer perceptron) and MLP (Multi-Layer Perceptron). We will also look into recurrent neural architectures to make basic memory elements, viz. Flip Flops which use feedback and may involve in one or more neuron layers.
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Goyal, Dinesh, and Ravindra Singh Rajput. "Smart Agricultural Practice for India." In The IoT and the Next Revolutions Automating the World, 229–51. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9246-4.ch015.

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The rapid growth of food needs due to the increasing worldwide population is raising the requirement for smart agriculture. Smart agriculture employs superior technologies such as decision support system, expert system, IoT, GPS, machine learning, robotics, and application of connected devices. Smart agriculture supports an automated farming system that includes a collection of data related to the farming area, and then analyzes the data so that the farmer can make the right decisions in order to grow high-quality products. In smart agriculture, farming-related data are collected using some unusual instruments like sensors, cameras, microcontrollers, and actuators. Then the collected data of farming areas are transferred via the internet to the farmer for decision making. This chapter is aimed to discuss critical topics for the implementation of smart agriculture in India.
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Janakiraman, Siva, Sundararaman Rajagopalan, and Rengarajan Amirtharajan. "Reliable Medical Image Communication in Healthcare IoT." In Medical Data Security for Bioengineers, 1–26. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7952-6.ch001.

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Images have been widely used in the medical field for various diagnostic purposes. In the field of healthcare IoT, secure communication of a medical image concerned with an individual is a crucial task. Embedding patients' personal information as an invisible watermark in their medical images helps to authenticate the ownership identification process. Reliable communication of medical image can be thereby ensured concerning authentication and integrity. Images in DICOM format with a pixel resolution of 8-bit depth are used for medical diagnostics. This chapter deals about the development of a lightweight algorithm to insert patients' identities as an invisible watermark in random edge pixels of DICOM images. This chapter describes the implementation of the proposed lightweight watermarking algorithm on a RISC microcontroller suitable for healthcare IoT applications. Imperceptibility level of the watermarked medical image was analyzed besides its lightweight performance validation on the constrained IoT platform.
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Ksiazak, Piotr, William Farrelly, and Kevin Curran. "A Lightweight Authentication and Encryption Protocol for Secure Communications Between Resource-Limited Devices Without Hardware Modification." In Security and Privacy Management, Techniques, and Protocols, 1–46. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5583-4.ch001.

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In this chapter, the authors examine the theoretical context for the security of wireless communication between ubiquitous computing devices and present an implementation that addresses this need. The number of resource-limited wireless devices utilized in many areas of the IT industry is growing rapidly. Some of the applications of these devices pose real security threats that can be addressed using authentication and cryptography. Many of the available authentication and encryption software solutions are predicated on the availability of ample processing power and memory. These demands cannot be met by most ubiquitous computing devices; thus, there is a need to apply lightweight cryptography primitives and lightweight authentication protocols that meet these demands in any application of security to devices with limited resources. The analysis of the lightweight solutions is divided into lightweight authentication protocols and lightweight encryption algorithms. The authors present a prototype running on the nRF9E5 microcontroller that provides necessary authentication and encryption on resource-limited devices.
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Ksiazak, Piotr, William Farrelly, and Kevin Curran. "A Lightweight Authentication and Encryption Protocol for Secure Communications Between Resource-Limited Devices Without Hardware Modification." In Research Anthology on Artificial Intelligence Applications in Security, 586–630. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7705-9.ch028.

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In this chapter, the authors examine the theoretical context for the security of wireless communication between ubiquitous computing devices and present an implementation that addresses this need. The number of resource-limited wireless devices utilized in many areas of the IT industry is growing rapidly. Some of the applications of these devices pose real security threats that can be addressed using authentication and cryptography. Many of the available authentication and encryption software solutions are predicated on the availability of ample processing power and memory. These demands cannot be met by most ubiquitous computing devices; thus, there is a need to apply lightweight cryptography primitives and lightweight authentication protocols that meet these demands in any application of security to devices with limited resources. The analysis of the lightweight solutions is divided into lightweight authentication protocols and lightweight encryption algorithms. The authors present a prototype running on the nRF9E5 microcontroller that provides necessary authentication and encryption on resource-limited devices.
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Kumar, Shirshak, Suraj, Sahil Sandhu, Narinder Singh Jassal, Jitendra Virmani, and Kriti. "Experiments on Design of Obstacle Avoiding Robots Based on Sensors, Bluetooth, and IoT." In Handbook of Research on the Internet of Things Applications in Robotics and Automation, 125–47. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9574-8.ch006.

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The mobile robotics industry is related to creating mobile robots that can move around in physical environments. Different types of mobile robot designs for obstacle avoidance have been experimented in the past based on different sensors, trajectory algorithms, etc. The chapter presents implementation details of different obstacle avoiding robots (OARs) using sensors, Bluetooth module, and IoT modules. The sensor-based obstacle-avoiding robots are designed using ultrasonic sensors and Arduino microcontrollers. Bluetooth-based obstacle-avoiding robots have been designed using Arduino mega and Bluetooth module and an Android application. IoT-based obstacle-avoiding robots can be designed in three different ways, using ethernet shield, node MCU, or Raspberry Pi. The IoT-based obstacle-avoiding robot using Raspberry Pi is the most popular mobile robot model that uses maximum on-chip modules in comparison to other designs, and also, the design can be extended by using cameras to use images for sensing the objects in order to avoid collisions.
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Conference papers on the topic "Arm Microcontroller Implementation"

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Finotti, Vitor, and Bruno Albertini. "An Open-Source Soft-Microcontroller Implementation Using an ARM Cortex-M0 on FPGA." In Workshop em Desempenho de Sistemas Computacionais e de Comunicação. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wperformance.2021.15726.

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There is a myriad of projects that could be deployed on FPGA for architectural exploration. However, open-source platforms are scarce, and one with embedded software and operating system support to the application-specific hardware could not be found in the literature. We present an open-source soft-microcontroller architecture based on an ARM Cortex-M0, adaptable to different amounts of cores or new components, supporting an end-to-end deployment from code compilation using arm-gcc to loading the binary into the HDL memory cores. The proposed design is validated through simulation and implementation on a KC705 development kit, demonstrating busy-wait polling, DMA transfer, and deterministic real-time processing through FreeRTOS.
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Yabu, Marika, Kazuo Sakiyama, and Takeshi Sugawara. "Low-Memory Implementation of Authenticated Encryption Algorithm SAEAES on ARM Cortex-M0 Microcontroller." In 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE). IEEE, 2020. http://dx.doi.org/10.1109/gcce50665.2020.9291948.

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Kommu, Aruna, and Raghavendra Rao Kanchi. "Designing a learning platform for the implementation of serial standards using ARM microcontroller LPC2148." In 2014 Recent Advances and Innovations in Engineering (ICRAIE). IEEE, 2014. http://dx.doi.org/10.1109/icraie.2014.6909185.

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Ravindran, Vineetha, and Jil Sutaria. "Implementation in arm microcontroller to maximize the power output of solar panel using Hill Climbing Algorithm." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7754880.

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Sani, Shahrokh. "Design and Implementation of A Low-Cost ECG Monitoring System Using ARM Cortex-M4 Family Microcontroller." In 2021 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2021. http://dx.doi.org/10.1109/icce50685.2021.9427729.

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Williams, Keith A. "Dynamic System Simulation Using Distributed Computation Hardware." In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9212.

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The availability of low-cost, readily programmable digital hardware offers numerous opportunities for novel modeling and control approaches. One such opportunity is the realization of hardware modeling of distributed dynamic systems. Such models could be useful for control algorithms that require high-fidelity models operating in real-time. The ultimate goal is to utilize digital systems with programmable hardware. As a proof-of-concept, multiple discrete microcontrollers have been used to emulate how programmable hardware devices may be used to simulate a distributed vibrating system. Specifically, each microcontroller is treated as a single vibrating mass with stiffness and damping coupling between the masses. Each microcontroller has associated position and velocity variables. The only additional knowledge required to compute the acceleration of each “mass” is thus the position and velocity of each immediate neighboring mass/microcontroller. The computation time is independent of the number of nodes; adding nodes results in no reduction in processing speed. Consequently, the computational approach will be applicable to very high order models. Practical implementation of such models will require digitally programmable hardware such as field-programmable gate arrays (FPGA), however an added benefit will be a still greater reduction in cost, as multiple microcontrollers are replaced by a single FPGA. It is expected that the hardware modeling approach described in this work will have application not only in the field of vibration modeling and control, but also in other fields where control of distributed dynamic systems is desired.
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Jang, Jyh-Shing Roger, and Yung-Sen Jang. "Microcontroller implementation of melody recognition." In the eleventh ACM international conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/957013.957108.

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Rogers, John R., and Konstantin Avdashchenko. "Teaching Microcontroller Programming Graphically." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64169.

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The ability to develop algorithms for microcontroller-based systems has traditionally required a computer science background. Many undergraduate mechanical engineering programs lack the time in the curriculum to devote to the necessary coursework. This paper presents a graphical method of developing algorithms. The method enables engineering students with weak computer science backgrounds to rapidly iterate microcontroller programs. The proposed method uses Simulink and chip-specific Simulink blocksets to access microcontroller inputs, outputs, internal timers, and other chip functions. Before- and after- observations from the implementation of the method in a mechatronics course are presented. The proposed method is compared to the traditional C language method of developing an algorithm. It is shown that it is easier to convey the algorithm in the Simulink implementation than it is to convey the C-language implementation of the same algorithm. It is quicker to develop algorithms using the Simulink-based method. The method is relevant in constrained undergraduate engineering programs, particularly mechanical engineering, where there is little instruction in computer programming. The method is scalable to industrial applications outside academia although it is not yet widely used there.
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Korjenic, Kemal, Eldar Kurtic, and Abdulah Aksamovic. "Implementation of algorithm for detection of single phase fault with electric arc on dsPIC30F4013 microcontroller." In 2018 17th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2018. http://dx.doi.org/10.1109/infoteh.2018.8345513.

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Bolandi, H., N. Riahi, M. Esmaeilzadeh, M. Abedi, and B. Ghorbani. "Implementation of an AMR magnetic sensor by means of a microcontroller to achieve more accurate response." In 2013 21st Iranian Conference on Electrical Engineering (ICEE). IEEE, 2013. http://dx.doi.org/10.1109/iraniancee.2013.6599539.

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