Relevant bibliographies by topics / Microcontrollore Ultra-Low Power

Contents

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

Academic literature on the topic 'Microcontrollore Ultra-Low Power'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Microcontrollore Ultra-Low Power"

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Pope, Gunnar C., and Ryan J. Halter. "Design and Implementation of an Ultra-Low Resource Electrodermal Activity Sensor for Wearable Applications ‡." Sensors 19, no. 11 (May 29, 2019): 2450. http://dx.doi.org/10.3390/s19112450.

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While modern low-power microcontrollers are a cornerstone of wearable physiological sensors, their limited on-chip storage typically makes peripheral storage devices a requirement for long-term physiological sensing—significantly increasing both size and power consumption. Here, a wearable biosensor system capable of long-term recording of physiological signals using a single, 64 kB microcontroller to minimize sensor size and improve energy performance is described. Electrodermal (EDA) signals were sampled and compressed using a multiresolution wavelet transformation to achieve long-term storage within the limited memory of a 16-bit microcontroller. The distortion of the compressed signal and errors in extracting common EDA features is evaluated across 253 independent EDA signals acquired from human volunteers. At a compression ratio (CR) of 23.3×, the root mean square error (RMSErr) is below 0.016 μ S and the percent root-mean-square difference (PRD) is below 1%. Tonic EDA features are preserved at a CR = 23.3× while phasic EDA features are more prone to reconstruction errors at CRs > 8.8×. This compression method is shown to be competitive with other compressive sensing-based approaches for EDA measurement while enabling on-board access to raw EDA data and efficient signal reconstructions. The system and compression method provided improves the functionality of low-resource microcontrollers by limiting the need for external memory devices and wireless connectivity to advance the miniaturization of wearable biosensors for mobile applications.
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Zhong, Dan, Jian Xun Hu, Wen Fang Ding, and Hui Chen. "The Design of Insulator Leakage Current Monitoring Device Based on MSP430 Microcontroller." Applied Mechanics and Materials 263-266 (December 2012): 485–90. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.485.

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This article describes a transmission line insulator leakage current monitoring device, the device is based on the MSP430 ultra low power mixed signal controller design, both the transmission line insulator leakage current rms leakage current pulse, the leakage current pulse frequency and ambient humidity characteristic quantities to be monitored, with low power consumption, high reliability.
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Roland, Theresa, Sebastian Amsuess, Michael Russold, and Werner Baumgartner. "Ultra-Low-Power Digital Filtering for Insulated EMG Sensing." Sensors 19, no. 4 (February 24, 2019): 959. http://dx.doi.org/10.3390/s19040959.

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Myoelectric prostheses help amputees to regain independence and a higher quality of life. These prostheses are controlled by state-of-the-art electromyography sensors, which use a conductive connection to the skin and are therefore sensitive to sweat. They are applied with some pressure to ensure a conductive connection, which may result in pressure marks and can be problematic for patients with circulatory disorders, who constitute a major group of amputees. Here, we present ultra-low-power digital signal processing algorithms for an insulated EMG sensor which couples the EMG signal capacitively. These sensors require neither conductive connection to the skin nor electrolytic paste or skin preparation. Capacitive sensors allow straightforward application. However, they make a sophisticated signal amplification and noise suppression necessary. A low-cost sensor has been developed for real-time myoelectric prostheses control. The major hurdles in measuring the EMG are movement artifacts and external noise. We designed various digital filters to attenuate this noise. Optimal system setup and filter parameters for the trade-off between attenuation of this noise and sufficient EMG signal power for high signal quality were investigated. Additionally, an algorithm for movement artifact suppression, enabling robust application in real-world environments, is presented. The algorithms, which require minimal calculation resources and memory, are implemented on an ultra-low-power microcontroller.
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Rosół, Maciej, and Bogdan Sapiński. "Autonomous Control System for a Squeeze Mode Mr Vibration Isolator in an Automotive Engine Mount." Acta Mechanica et Automatica 8, no. 3 (September 1, 2014): 121–24. http://dx.doi.org/10.2478/ama-2014-0021.

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Abstract The investigated autonomous control system for a squeeze mode magnetorheological (MR) vibration isolator is based on an ultra-low power microcontroller MSP430F5529. The design structure of the control system and the dedicated real-time system are briefly presented and the laboratory testing data are summarised.
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Rastrello, F., P. Placidi, L. Abbati, A. Scorzoni, E. Cozzani, I. Elmi, S. Zampolli, and G. C. Cardinali. "Thermal Transient Measurements of an Ultra-Low-Power MOX Sensor." Journal of Sensors 2010 (2010): 1–8. http://dx.doi.org/10.1155/2010/493765.

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This paper describes a system for the simultaneous dynamic control and thermal characterization of the heating of an Ultra Low Power (ULP) micromachined sensor. A Pulse Width Modulated (PWM) powering system has been realized using a microcontroller to characterize the thermal behavior of a device. Objectives of the research were to analyze the relation between the time period and duty cycle of the PWM signal and the operating temperature of such ULP micromachined systems, to observe the thermal time constants of the device during the heating phase and to measure the total thermal conductance. Constant target heater resistance experiments highlighted that an approximately constant heater temperature at regime can only be obtained if the time period of the heating signal is smaller than 50 s. Constant power experiments show quantitatively a thermal time constant that decreases during heating in a range from 2.3 ms to 2 ms as a function of an increasing temperature rise between the ambient and the operating temperature. Moreover, we calculated the total thermal conductance. Finally, repeatability of experimental results was assessed by guaranteeing the standard deviation of the controlled temperature which was within C in worst case conditions.
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Ganchev, Ivan, Zhanlin Ji, and Máirtín O’Droma. "Designing an Ultra-Low-Power RTU for Use in NB-IoT Water Applications." MATEC Web of Conferences 292 (2019): 02004. http://dx.doi.org/10.1051/matecconf/201929202004.

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This paper presents the design and realization of a ultra-low-power and low-cost remote transfer unit (RTU), working as an outdoor gateway for collecting hydrographic data, such as rainfall, water flow rate, water quality, etc. Based on the NarrowBand Internet of Things (NB-IoT) standard, it facilitates the communication between the sensors and the information center (server). The unit consists of an Advanced RISC Machine (ARM) microcontroller unit (MCU), a NB-IoT module, and a power supply module. The RTU was experimentally tested and its use successfully demonstrated.
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Wang, Feng, Hong Yu Jiao, and Ping Zhou. "Design of Standard 12-Lead ECG Acquisition Terminals Based on ADS1298." Advanced Materials Research 749 (August 2013): 154–59. http://dx.doi.org/10.4028/www.scientific.net/amr.749.154.

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This paper introduced a compact design of portable standard 12-lead ECG acquisition terminals. For portable application purposes, an ultra-low power 16-bit microcontroller, which acted the core unit of the terminal, an 8-channel 24-bit , low-noise low-power high speed,analog-to-digital converter incorporated ECG features,external SD card storage,USB data-transmission module were intergrated into the terminal.Through the terminal,the sampling,storage,transmission and display of standard 12-lead ECG could be implemented in real-time.
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Eliahu, Adi, Ronny Ronen, Pierre-Emmanuel Gaillardon, and Shahar Kvatinsky. "multiPULPly." ACM Journal on Emerging Technologies in Computing Systems 17, no. 2 (April 2021): 1–27. http://dx.doi.org/10.1145/3432815.

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Computationally intensive neural network applications often need to run on resource-limited low-power devices. Numerous hardware accelerators have been developed to speed up the performance of neural network applications and reduce power consumption; however, most focus on data centers and full-fledged systems. Acceleration in ultra-low-power systems has been only partially addressed. In this article, we present multiPULPly, an accelerator that integrates memristive technologies within standard low-power CMOS technology, to accelerate multiplication in neural network inference on ultra-low-power systems. This accelerator was designated for PULP, an open-source microcontroller system that uses low-power RISC-V processors. Memristors were integrated into the accelerator to enable power consumption only when the memory is active, to continue the task with no context-restoring overhead, and to enable highly parallel analog multiplication. To reduce the energy consumption, we propose novel dataflows that handle common multiplication scenarios and are tailored for our architecture. The accelerator was tested on FPGA and achieved a peak energy efficiency of 19.5 TOPS/W, outperforming state-of-the-art accelerators by 1.5× to 4.5×.
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Qin, Gang, and De Quan Cui. "The Design of Portable Granary Thermometer." Advanced Materials Research 989-994 (July 2014): 3394–98. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3394.

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This article designed a portable granary thermometer to solve the shortcomings of present similar products ,such as complex structures , high performance price ratio and lack of flexibility , this thermometer used ultra-low power microcontroller MSP430F149 and programmable temperature sensor DS18B20 as the main components, it can collect, display and store the temperature on a real-time basis . Based on actual use, this apparatus possess the advantage of complete function, low power consumption, easy to operate, low price, portable and wide occasions of application etc.
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Li, Qi, and Xiao Jian Zhang. "A Design of High Smart Pressure Sensor Based on Microcontroller and BP Network." Applied Mechanics and Materials 65 (June 2011): 122–25. http://dx.doi.org/10.4028/www.scientific.net/amm.65.122.

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We introduce the high smart pressure sensor’s hardware-circuit design which based on Ultra-Low Power MSP430 MCU, analyze the BP network algorithm in temperature compensation to deal with the pressure sensor’s temperature drift, and collect pressure sensor’s temperature and pressure signals by MCU for offline training in BP network. The result shows that the MSP430 MCU can reduce system power and its rich exterior equipments can reduce the size of pressure sensor, the accuracy is improved by BP network algorithm, zero drift and time drift are best controlled.
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Dissertations / Theses on the topic "Microcontrollore Ultra-Low Power"

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Forti, Michele. "Progetto di un nodo sensore wireless ultra low-power per rilevazione del movimento." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8543/.

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Negli ultimi anni il tema del risparmio energetico nei sistemi elettronici ha suscitato sempre maggiore interesse, poiché grazie allo sviluppo tecnologico è stato possibile creare dispositivi in grado di operare a bassa potenza. Sempre più applicazioni elettroniche richiedono di funzionare tramite fonti di energia limitata, come per esempio le batterie, con un’autonomia in alcuni casi anche di 15-20 anni, questo è il motivo per il quale è diventato fondamentale riuscire a progettare sistemi elettronici in grado di gestire in modo intelligente l’energia a disposizione. L’utilizzo di batterie però spesso richiede costi aggiuntivi, come per esempio il semplice cambio, che in alcune situazioni potrebbe essere difficoltoso poiché il sistema elettronico si potrebbe trovare in luoghi difficilmente raggiungibili dall’uomo; ecco perché negli ultimi anni il tema della raccolta di energia o anche chiamato Energy Harvesting, sta suscitando sempre più interesse. Con l’Energy Harvesting si possono catturare ed accumulare per poi riutilizzare, piccole quantità di energia presenti nell’ambiente. Attraverso sistemi di Energy Harvesting è quindi diventato possibile trasformare energia cinetica, differenze di temperatura, effetto piezoelettrico, energia solare ecc.. in energia elettrica che può essere utilizzata per alimentare semplici applicazioni elettroniche, nel caso di questa tesi un nodo sensore wireless. I vantaggi dei sistemi di Energy Harvesting rispetto a sistemi alimentati a batteria sono i seguenti: - Costi di manutenzione ridotti; - Fonte di energia idealmente inesauribile e con un impatto ambientale negativo nullo. La potenza fornita da sistemi di Energy Harvesting si aggira intorno a qualche centinaia di uW, perciò è chiaro che il sistema da alimentare deve essere ottimizzato il più possibile dal punto di vista energetico, per questo motivo il progettista si deve impegnare per evitare qualsiasi spreco energetico e dovrà utilizzare dispositivi che permettono una gestione intelligente dell’energia a disposizione, al fine di ottenere la migliore efficienza possibile.
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Corelli, Fabio. "Caratterizzazione energetica di sistemi a microcontrollore basati su tecnologia fram." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7656/.

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In questo elaborato si riporta la caratterizzazione energetica di un sistema a microcontrollore basato su tecnologia FRAM. Sono state analizzate le innovazioni e i vantaggi portati dall'introduzione della memoria FRAM, le migliori configurazioni di funzionamento del microcontrollore studiato al fine di raggiungere consumi energetici di sistema il più basso possibile.
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Monti, Michele. "Ottimizzazione di sistemi Wake-Up Radio per applicazioni RFID basate su microcontrollori ultra-low power." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13265/.

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Oggetto di studio di questa tesi di laurea è la realizzazione di un firmware dedicato alla sezione logica di controllo di una Wake-up Radio implementata su tag RFID, realizzata attraverso l'utilizzo di un microcontrollore ultra-low power. Per la realizzazione del sistema, si é deciso di utilizzare il microcontrollore Apollo prodotto da Ambiq Micro. Tale dispositivo, basandosi sull'architettura Subthreshold Power Optimized Technology (SPOT) brevettata da Ambiq, utilizza transistori polarizzati in regione di sottosoglia, presentando i migliori valori di consumo dichiarati sul mercato.
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Guarino, Marco. "Controllo ultra-low power di un modulatore back-scattering per applicazioni di localizzazione in sistemi RFID." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11211/.

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In questa tesi viene elaborata un'applicazione ultra-low power (ULP) basata su microcontrollore, per implementare la procedura di controllo di diversi circuiti di un tag RFID. Il tag preso in considerazione è pensato per lavorare in assenza di batteria, da cui la necessita' di ridurre i consumi di potenza. La sua attivazione deve essere inoltre comandata attraverso un'architettura Wake up Radio (WuR), in cui un segnale di controllo radio indirizza e attiva il circuito. Nello specifico, la rete di decodifica dell'indirizzo è stata realizzata mediante il modulo di comunicazione seriale del microcontrollore. Nel Capitolo 1 verrà introdotto il tema dell'Energy Harvesting. Nel Capitolo 2 verrà illustrata l'architettura del sistema nel suo complesso. Nel Capitolo 3 verrà spiegato dettagliatamente il funzionamento del microcontrollore scelto. Il Capitolo 4 sarà dedicato al firmware implementato per svolgere le operazioni fondamentali imputate al micro per i compiti di controllo. Verrà inoltre introdotto il codice VHDL sviluppato per emulare l'output del modulo WuR mediante un FPGA della famiglia Cyclone II. Nel Capitolo 5 verrà presentata una stima dei consumi del microcontrollore in funzione dei parametri di configurazione del sistema. Verrà inoltre effettuato un confronto con un altro microcontrollore che in alcune condizioni potrebbe rappresentare iun'alternativa valida di progetto. Nei Capitoli 6 e 7 saranno descritti possibili sviluppi futuri e conclusioni del progetto. Le specifiche di progetto rilevanti della tesi sono: 1. minimo consumo energetico possibile del microcontrollore ULP 2. elevata rapidità di risposta per la ricezione dei tag, per garantire la ricezione di un numero maggiore possibile di indirizzi (almeno 20 letture al secondo), in un range di tempo limitato 3. generazione di un segnale PWM a 100KHz di frequenza di commutazione con duty cycle 50% su cui basare una modulazione in back-scattering.
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Berthier, Florent. "Conception d'un processeur ultra basse consommation pour les noeuds de capteurs sans fil." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S130/document.

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Les travaux de cette thèse se concentrent sur la réduction de l'énergie consommée et l'amélioration des temps de réveil du microcontrôleur par des innovations au niveau de l'architecture, du circuit et de la gestion de l'énergie. Ces travaux proposent une architecture de microcontrôleur partitionnée entre un processeur de réveil programmable, appelé Wake Up Controller, s'occupant des tâches courantes du nœud de capteurs et un processeur principal gérant les tâches irrégulières. Le Wake Up Controller proposé dans ces travaux de thèse est un processeur RISC 16-bit dont le jeu d'instructions a été adapté pour gérer les tâches régulières du nœud, et n'exécute que du code sur interruptions. Il est implémenté en logique mixte asynchrone/synchrone. Un circuit a été fabriqué en technologie UTBB FDSOI 28nm intégrant le Wake-Up Controller. Le cœur atteint une performance de 11,9 MIPS pour 125μW de consommation moyenne en phase active et un réveil depuis le mode de veille en 55ns pour huit sources de réveil possibles. La consommation statique est d'environ 4μW pour le cœur logique asynchrone à 0,6V sans utilisation de gestion d'alimentation (power gating) et d'environ 500nW avec
This PhD work focuses on the reduction of energy consumption and wake up time reduction of a WSN node microcontroller through innovations at architectural, circuit and power management level. This work proposes a partitioned microcontroller architecture between a programmable wake up processor, named Wake Up Controller on which this work is focused, and a main processor. The first deals with the common tasks of a wireless sensor node while the second manages the irregular tasks. TheWake Up Controller proposed in this work is a 16-bit RISC processor whose instruction set has been adapted to handle regular tasks of a sensor node. It only executes code on interruptions. It is implemented in asynchronous / synchronous mixed logic to improve wake up time and energy. A circuit was fabricated in a 28nm UTBB FDSOI technology integrating the Wake Up Controller. The core reaches 11,9 MIPS for 125 μW average power consumption in active phase and wakes up from sleep mode in 55ns from eight possible interruption sources. The static power consumption is around 4μW for the asynchronous logic core at 0.6V without power gating and 500nW when gated
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Lallement, Guénolé. "Extension of socs mission capabilities by offering near-zero-power performances and enabling continuous functionality for Iot systems." Electronic Thesis or Diss., Aix-Marseille, 2019. http://www.theses.fr/2019AIXM0573.

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Les développements récents dans le domaine des circuits intégrés (IC) à basse tension ont ouvert la voie à des dispositifs électroniques économes en énergie dans un réseau mondial en plein essor appelé l’internet des objets (IoT) ou l’internet des choses (IoE). Cependant, la durabilité de tous ces capteurs interconnectés est compromise par le besoin constant d’une batterie embarquée – qui doit être rechargée ou remplacée – ou d’un récupérateur d’énergie à rendement très limité. La consommation d’énergie des systèmes électroniques grand public actuels est en effet cinquante fois plus élevée que celle d’un collecteur d’une taille de l’ordre du cm 2 , ou limitée à quelques mois sur une petite batterie. Cela contraint la viabilité de solutions fonctionnant à l’échelle d’une vie humaine. Les systèmes sur puce (SoCs) à venir nécessitent donc de relever le défi de cette lacune énergétique en optimisant l’architecture, de la technologie au niveau du système. L’approche technique de ce travail vise à démontrer la faisabilité d’un SoC efficient, ultra-basse tension (ULV) et ultra-basse puissance (ULP) utilisant exclusivement les dernières directives industrielles en matière de technologies FD-SOI (Fully Depleted Silicon On Insulator) 28 nm et 22 nm. Plusieurs SoCs multi-domaines basés sur des cœurs ARM sont implémentés pour démontrer des stratégies de réveil basées sur les entrées des capteurs. Ainsi, en optimisant l’architecture du système, en sélectionnant et en concevant correctement les composants avec des caractéristiques technologiques choisies de manière adéquate, et en ajustant soigneusement l’implémentation physique, on obtient un SoC entièrement optimisé en énergie
Recent developments in the field of low voltage integrated circuits (IC) have paved the way towards energy efficient electronic devices in a booming global network called the internet-of-things (IoT) or the internet-of-everything (IoE). However, the sustainability of all these inter- connected sensors is still undermined by the constant need for either an on-board battery – that must be recharged or replaced – or an energy harvester with very limited power efficiency. The power consumption of present consumer electronic systems is fifty times higher than the energy available by cm 2-size harvester or limited to a few months on a small battery, thus hardly viable for lifetime solutions. Upcoming systems-on-chip (SoCs) must overcome the challenge of this energy gap by architecture optimizations from technology to system level. The technical approach of this work aims to demonstrate the feasibility of an efficient ultra-low-voltage (ULV) and ultra-low-power (ULP) SoC using exclusively latest industrial guidelines in 28 nm and 22 nm fully depleted silicon on insulator (FD-SOI) technologies. Several multi-power-domain SoCs based on ARM cores are implemented to demonstrate wake up strategies based on sensors inputs. By optimizing the system architecture, properly selecting and designing compo- nents with technology features chosen adequately, carefully tuning the implementation, a fully energy-optimized SoC is realized
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Book chapters on the topic "Microcontrollore Ultra-Low Power"

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Khanna, Sudhanshu, Mark Jung, Michael Zwerg, and Steven Bartling. "Ferro-Electric RAM Based Microcontrollers: Ultra-Low Power Intelligence for the Internet of Things." In Enabling the Internet of Things, 503–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51482-6_18.

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Conference papers on the topic "Microcontrollore Ultra-Low Power"

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Yong Zhang, Xin Geng, and Jindou Zhang. "Heat meter with ultra-low-power consumption Microcontroller." In 2008 3rd IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2008. http://dx.doi.org/10.1109/iciea.2008.4582683.

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Yurchenko, Mikhail A., Dmitry A. Karavaev, Andrey B. Stepanov, Sergey S. Vladimirov, and Andrei G. Vladyko. "A Secure SDN Framework Based on Ultra-Low Power Microcontrollers." In 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2019. http://dx.doi.org/10.1109/eiconrus.2019.8657025.

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Roland, Theresa, Werner Baumgartner, Sebastian Amsuess, and Michael F. Russold. "Capacitively coupled EMG detection via ultra-low-power microcontroller STFT." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8036849.

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Sridhara, Srinivasa R. "Ultra-low power microcontrollers for portable, wearable, and implantable medical electronics." In 2011 16th Asia and South Pacific Design Automation Conference ASP-DAC 2011. IEEE, 2011. http://dx.doi.org/10.1109/aspdac.2011.5722252.

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Raso, Ondrej, Petr Mlynek, Radek Fujdiak, Ladislav Pospichal, and Pavel Kubicek. "Implementation of Elliptic Curve Diffie Hellman in ultra-low power microcontroller." In 2015 38th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2015. http://dx.doi.org/10.1109/tsp.2015.7296346.

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Conti, Francesco, Daniele Palossi, Andrea Marongiu, Davide Rossi, and Luca Benini. "Enabling the Heterogeneous Accelerator Model on Ultra-Low Power Microcontroller Platforms." In Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE). Singapore: Research Publishing Services, 2016. http://dx.doi.org/10.3850/9783981537079_0626.

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Parisi, Emanuele, Francesco Barchi, Andrea Bartolini, Giuseppe Tagliavini, and Andrea Acquaviva. "Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers." In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2021. http://dx.doi.org/10.23919/date51398.2021.9474085.

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Otero, Carlos Tadeo Ortga, Jonathan Tse, Robert Karmazin, Benjamin Hill, and Rajit Manohar. "ULSNAP: An ultra-low power event-driven microcontroller for sensor network nodes." In 2014 15th International Symposium on Quality Electronic Design (ISQED). IEEE, 2014. http://dx.doi.org/10.1109/isqed.2014.6783391.

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Wei-Xiang Tang, Shui-An Wen, Shing-Wu Tung, Keng-Yu Lin, Chun-Chih Chen, and Ching-Lung Su. "A 42.5µW/MHz ultra-low power 32-bit microcontroller — SPARK." In 2013 9th International Conference on Information, Communications & Signal Processing (ICICS). IEEE, 2013. http://dx.doi.org/10.1109/icics.2013.6782809.

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Yurchenko, Mikhail, Mikhail Buinevich, Andrey Laptev, Andrey Stepanov, Kirill Tarasov, and Andrei Vladyko. "Implementation of Software-Defined Network Nodes Based on Ultra-Low Power Microcontrollers for VANET." In 2018 IEEE East-West Design & Test Symposium (EWDTS). IEEE, 2018. http://dx.doi.org/10.1109/ewdts.2018.8524614.

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