Academic literature on the topic 'ARM® Cortex-M0+'
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Journal articles on the topic "ARM® Cortex-M0+"
Laban, Marek, and Milos Drutarovsky. "Low-cost ARM Cortex-M0 Based TRNG for IoT Applications." Acta Electrotechnica et Informatica 18, no. 1 (March 1, 2018): 52–56. http://dx.doi.org/10.15546/aeei-2018-0008.
Full textNISHINAGA, Toshifumi, and Masahiro MAMBO. "Implementation of µNaCl on 32-bit ARM Cortex-M0." IEICE Transactions on Information and Systems E99.D, no. 8 (2016): 2056–60. http://dx.doi.org/10.1587/transinf.2015inp0013.
Full textBannatyne, R., D. Gifford, K. Klein, and C. Merritt. "High temperature / radiation hardened capable ARM® Cortex®-M0 microcontrollers." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2016, HiTEC (January 1, 2016): 000046–50. http://dx.doi.org/10.4071/2016-hitec-46.
Full textPatel, Zuber M. "DEVICE DRIVER FOR 3-AXIS ACCELEROMETER BASED ON ARM CORTEX-M0+ PROCESSOR." MATTER: International Journal of Science and Technology 4, no. 2 (September 24, 2018): 200–206. http://dx.doi.org/10.20319/mijst.2018.42.200206.
Full textBannatyne, R., D. Gifford, K. Klein, K. McCarville, C. Merritt, and S. Neddermeyer. "Creation of an ARM® Cortex®-M0 microcontroller for high temperature embedded systems." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2017, HiTEN (July 1, 2017): 000031–35. http://dx.doi.org/10.4071/2380-4491.2017.hiten.31.
Full textReyserhove, Hans, and Wim Dehaene. "A Differential Transmission Gate Design Flow for Minimum Energy Sub-10-pJ/Cycle ARM Cortex-M0 MCUs." IEEE Journal of Solid-State Circuits 52, no. 7 (July 2017): 1904–14. http://dx.doi.org/10.1109/jssc.2017.2693241.
Full textChoifin, Mochamad, and Wiji Lestariningsih. "Design and Development of Microcontroller Battery Filling Control System Arm Cortex M0-Nuc 120 on Axial Axis Wind Turbine Type." IOP Conference Series: Materials Science and Engineering 494 (March 29, 2019): 012032. http://dx.doi.org/10.1088/1757-899x/494/1/012032.
Full textV., Arun, and Prabaharan N. "Micro controller based asymmetrical multilevel inverter." IAES International Journal of Robotics and Automation (IJRA) 8, no. 1 (March 1, 2019): 18. http://dx.doi.org/10.11591/ijra.v8i1.pp18-25.
Full textLallement, Guenole, Fady Abouzeid, Jean-Marc Daveau, Philippe Roche, and Jean-Luc Autran. "A 1.1-pJ/cycle, 20-MHz, 0.42-V Temperature Compensated ARM Cortex-M0+ SoC With Adaptive Self Body-Biasing in FD-SOI." IEEE Solid-State Circuits Letters 1, no. 7 (July 2018): 174–77. http://dx.doi.org/10.1109/lssc.2019.2897016.
Full textBenites, Luis A. C., Fabio Benevenuti, Adria B. De Oliveira, Fernanda L. Kastensmidt, Nemitala Added, Vitor A. P. Aguiar, Nilberto H. Medina, and Marcilei A. Guazzelli. "Reliability Calculation With Respect to Functional Failures Induced by Radiation in TMR Arm Cortex-M0 Soft-Core Embedded Into SRAM-Based FPGA." IEEE Transactions on Nuclear Science 66, no. 7 (July 2019): 1433–40. http://dx.doi.org/10.1109/tns.2019.2921796.
Full textDissertations / Theses on the topic "ARM® Cortex-M0+"
Galád, Dominik. "USB adaptér pro připojení disketových mechanik." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442355.
Full textSantos, Paulo Jorge da Silva. "ARM Cortex M0+: porting de aplicações." Master's thesis, 2016. http://hdl.handle.net/1822/49191.
Full textA seleção da família de microprocessadores a utilizar numa aplicação de sistemas embebidos é determinada por um conjunto de fatores relacionados sobretudo com os periféricos necessários, a performance requerida (memória e capacidade de processamento), o consumo energético e o tempo de desenvolvimento, que estão diretamente relacionados com o custo total da aplicação. Com o aparecimento dos processadores da família ARM torna-se possível uniformizar uma metodologia de seleção do processador e especificar as regras de desenho a utilizar no desenvolvimento e implementação de aplicações minimalistas de sistemas embebidos. A família ARM Cortex foi especificamente desenhada para aplicações de baixo consumo, baixo-custo e simplicidade de uso, tendo como aplicações alvo o controlo de motores, a automação industrial, áudio embebido e telecomunicações. A oferta de várias versões de processadores compatíveis, com diferentes dimensões de memória, periféricos e capacidade de processamento, torna possível garantir a expansão de um produto em termos de funcionalidades e prolongando assim o tempo de vida do produto. Atualmente os processadores da família ARM Cortex M0+ são os que apresentam a maior eficiência energética de entre todos os processadores da família. Nesta dissertação será efetuado o porting de uma aplicação de domótica existente desenvolvida para o controlo de janelas inteligentes, alimentadas por uma bateria e um painel fotovoltaico. Este sistema tem a capacidade de diminuir o consumo energético e de tentar manter a qualidade do ar e os níveis de luminosidade no melhor nível possível. Isto é conseguido através de um conjunto de válvulas, que controlam o fluxo de ar do exterior para o interior do edifício através da janela. E de persianas, que possibilitam o controlo da luminosidade solar que entra para o interior. Com este porting, pretende-se reduzir o consumo de energia, minimizar o esforço requerido no desenvolvimento de novas funcionalidades e garantir o suporte no desenvolvimento de software para futuras gerações do produto. Adicionalmente, tirando partido das principais vantagens da família de processadores selecionados, desenvolveu-se um conjunto de Applications Programming Interface standards que permitem a interface uniformizada com os periféricos desta família de processadores. Pretendese também caracterizar o sistema em termos de consumo energético e de performance. Nesta dissertação demonstra-se o porting de uma aplicação desenvolvida para microcontroladores de oito bits para uma plataforma de trinta e dois bits, como é o ARM Cortex M0+, conseguindo-se diminuir o consumo energético de todo o sistema em vinte e cinco porcento.
The selection of the family of microprocessors to use in a particular application is determined by a set of factors related mainly with the price and the development time. With the emergence of the ARM Cortex family processors it becomes possible to standardize the selection of processor and specify design rules to be used in the development and implementation of minimalist embedded systems applications. The ARM Cortex family was specifically designed for low-power applications, low-cost and simplicity of use, targeting applications on engine control, industrial automation, embedded audio and telecommunications, among others. The supply of multiple versions of compatible processors, with different memory sizes, peripheral sets and processing power, makes it possible to ensure the expansion of a product in terms of features. Currently the ARM Cortex M0+ processors are those with the highest energy efficiency between all the ARM processors. The main goal is to port all the functionality of a dedicated embedded system to an ARM Cortex M0+ processor. In this dissertation, the porting will be made of an existing home automation application developed for the control of intelligent electric shutters, powered by a battery and a solar panel. This system has the ability to try to preserve the quality of air and light levels at the best possible value. This is achieved through a set of valves that control the inflow and outflow of the air in the building, and shutters which enable control of the amount of solar light that enters inside. With this porting, the intention is to reduce power consumption, to minimize the effort required to develop new features and secure the bracket in software development. Additionally, taking advantage of the major benefits, it was developed a set of Applications Programming Interface standards that allow uniform interface with the peripherals of this family of processors. The intension is also to characterize the system in terms of energy consumption and performance. This dissertation demonstrates the porting of an application developed for eight-bit microcontrollers to a 32-bit platform, such as ARM Cortex M0+, reducing the energy consumption in twenty-five percent.
YANG, JHENG-JIE, and 楊証傑. "Development of Internet of Environment Monitoring System Based on ARM Cortex-M0 Microcontroller." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/11233751378373908810.
Full text東南科技大學
電機工程研究所
104
Home environmental monitoring, such as air quality, temperature, humidity, and carbon monoxide concentration, gets more and more attention today. This study develops an internet of environmental monitoring system based on 32-bit ARM Cortex-M0 microcontroller（LPC1115）, which collects the data of environmental sensor and connects the TCP / IP network via Wi-Fi module. The developed internet of environmental monitoring system uploads monitor-ing data to server via Wi-Fi module controlled by LPC1115 through UART inter-face, the remote devices can access the environmental data without limits. The LPC1115 controls OLED module as well through I2C interface to display the monitoring data real time. The data is gathered by the LPC1115 through miscella-neous sensors, including temperature sensors, humidity sensors, gas sensors and dust sensor. This study performs an internet of environmental monitoring system by exploiting an inexpensive M0 microcontroller driving five peripheral devices simultaneously. Because the Wi-Fi module and the dust sensors of the proposed system both utilize UART interface to communicate LPC1115 simultaneously which with only one UART, this study develops a strategy of simulating UART transport by GPIO pins of LPC1115.
Che-Chia, Chang, and 張哲嘉. "Using ARM Cortex-M0 Single Chip to Implement High Range and High Speed Frequency Counter." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/77991653508886537580.
Full text中華科技大學
電子工程研究所碩士班
100
Today’s SOC(System On Chip) due to powerful, inexpensive and totally modern in depth various areas of social life, it’s often used in industrial electronics, consumer behavior, and communications systems, including TV remote control, drinking fountains, elevator and even mobile phones which are visible traces of SOC. Frequency measurement is used to measurement speed, flow rate, and rotary acceleration. However, two frequency measurements which used in industry still have some measurement error. This research is to design one high range high speed frequency counter device which use of ARM(Advanced RISC Machines) Cortex-M0 SOC with microprocessor for catching the locking rising signal. Subsequently, this thesis is to take advantage of accumulated skills and timer interrupt for solving the problem of inadequate resolution and insufficient execution speed. Finally, because of the errors are not the same for all quartz oscillator, it can enter a low-frequency signals in a SOC to correct error. From the above effort, one can apply ARM Cortex-M0 to achieve low cost, high speed approach and to detect the range of 0.0167Hz ~ 250KHz, and the accuracy up to 0.001% of high range high speed frequency counter devices.
Yang, Yun-Si, and 楊盷羲. "Porting of FreeRTOS with real-time Adaptive Noise Canceller and Bluetooth Transmission on ARM Cortex M0." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/87870614214021948049.
Full text東南科技大學
電機工程研究所
101
Considering the rapid arrival of aging population society in Taiwan, the prevalence of the Android platform, and the competitive price of the 32 bits Cortex-M microcontroller by ARM corp., the long-term home-care medical instruments combined with cloud medical services become more and more important in the future. This study adopts a cheap Cortex-M0 microcontroller ($0.5pcs or so for asking price) and uses its embedded ADC to convert two analog input signals, then the digital signals are processed by adaptive noise canceller (ANC). The experiments are arranged to use different step size to observe the filtering effect of interference and noise by different frequency and amplitude in order to discover the stable system structure for mass manufacture of individual mobile medical instruments. The last part of this study is transferred the output of ANC to Android terminal by bluetooth protocol. The whole system realizes a individual mobile acquisition and transmission system for biomedical signals.
Books on the topic "ARM® Cortex-M0+"
The definitive guide to the ARM Cortex-M0. Oxford, UK: Newnes, 2011.
Find full textThe Definitive Guide to Arm® Cortex®-M0 and Cortex-M0+ Processors. Elsevier, 2015. http://dx.doi.org/10.1016/c2014-0-01993-4.
Full textThe Definitive Guide to the ARM Cortex-M0. Elsevier, 2011. http://dx.doi.org/10.1016/c2010-0-67004-0.
Full textBook chapters on the topic "ARM® Cortex-M0+"
Kumar, Divesh, Manish Kumar, and Manish Gupta. "Intelligent Street Light System Using ARM Cortex M0+." In Algorithms for Intelligent Systems, 239–45. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6707-0_22.
Full textHuang, Yu-Wei, and Chih-Hung Wu. "Design and Implementation of EtherCAT Slave Based on ARM Cortex-M0." In Lecture Notes in Electrical Engineering, 741–47. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04573-3_92.
Full textYiu, Joseph. "Cortex-M0 Products." In The Definitive Guide to the ARM Cortex-M0, 427–39. Elsevier, 2011. http://dx.doi.org/10.1016/b978-0-12-385477-3.10022-9.
Full textYiu, Joseph. "Cortex-M0 Technical Overview." In The Definitive Guide to the ARM Cortex-M0, 13–24. Elsevier, 2011. http://dx.doi.org/10.1016/b978-0-12-385477-3.10002-3.
Full textYiu, Joseph. "Introduction to Cortex-M0 Programming." In The Definitive Guide to the ARM Cortex-M0, 43–71. Elsevier, 2011. http://dx.doi.org/10.1016/b978-0-12-385477-3.10004-7.
Full text"Cortex-M0 Exception Type Quick Reference." In The Definitive Guide to the ARM Cortex-M0, 445–46. Elsevier, 2011. http://dx.doi.org/10.1016/b978-0-12-385477-3.10024-2.
Full textYiu, Joseph. "Getting Started with IAR Embedded Workbench for ARM®." In The Definitive Guide to Arm® Cortex®-M0 and Cortex-M0+ Processors, 409–26. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-803277-0.00015-1.
Full text"A Breadboard Project with an ARM® Cortex®-M0 Microcontroller." In The Definitive Guide to Arm® Cortex®-M0 and Cortex-M0+ Processors, 729–32. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-803277-0.15008-8.
Full text"References." In The Definitive Guide to Arm® Cortex®-M0 and Cortex-M0+ Processors, xxxi. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-803277-0.09002-0.
Full text"Conventions." In The Definitive Guide to Arm® Cortex®-M0 and Cortex-M0+ Processors, xxix. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-803277-0.09003-2.
Full textConference papers on the topic "ARM® Cortex-M0+"
Abdouli, A. al, Emanuele Bellini, Florian Caullery, Marcos Manzano, and Victor Mateu. "Rank-metric Encryption on Arm-Cortex M0." In the 6th. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3327958.3329544.
Full textZhang, Wei, Dongdai Lin, Hailong Zhang, Xiaojun Zhou, and Yiwen Gao. "A Lightweight FourQ Primitive on ARM Cortex-M0." In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018. http://dx.doi.org/10.1109/trustcom/bigdatase.2018.00102.
Full textMalatesta, Fabio, Marco Ottavi, Giancarlo Cardarilli, Gianluca Furano, Alessandra Menicucci, Carlo Cazzaniga, Carla Andreani, Roberto Senesi, and Claudia Scatigno. "Neutron irradiation of an ARM Cortex-M0 Core." In 2018 18th European Conference on Radiation and Its Effects on Components and Systems (RADECS). IEEE, 2018. http://dx.doi.org/10.1109/radecs45761.2018.9328652.
Full textde Clercq, Ruan, Leif Uhsadel, Anthony Van Herrewege, and Ingrid Verbauwhede. "Ultra Low-Power implementation of ECC on the ARM Cortex-M0+." In the The 51st Annual Design Automation Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2593069.2593238.
Full textAli, Ehsan, and Wanchalerm Pora. "VHDL Implementation of ARM Cortex-M0 Laboratory for Graduate Engineering Students." In 2020 5th International STEM Education Conference (iSTEM-Ed). IEEE, 2020. http://dx.doi.org/10.1109/istem-ed50324.2020.9332721.
Full textWang, Qingfeng, Jinhao Sun, Lina Xu, and Zhonghao Sun. "Design of new water-saving flushing device based on ARM CORTEX-M0." In 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6057593.
Full textFinotti, 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.
Full textTakaya, K. "Transputer-like multicore parallel processing on the array of ARM Cortex-M0 microprocessors." In 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2012. http://dx.doi.org/10.1109/ccece.2012.6334900.
Full textYabu, 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.
Full textTakaya, Kunio. "Transputer-like Multicore Digital Signal Processing on the Array of ARM Cortex-M0 Microprocessors." In 2012 IEEE 6th International Symposium on Embedded Multicore Socs (MCSoC). IEEE, 2012. http://dx.doi.org/10.1109/mcsoc.2012.14.
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