machine to machine
Diseño e implementación de un sistema de telemetría y telemando utilizando tecnología machine to machine (m2m) para control y monitoreo del laboratorio de televisión digital de la UNACH
... Lo que se va a comprobar es si el diseño e implementación de un sistema de telemetría y telemando utilizando tecnología machine to machine M2M permitiría el intercambio de información en[r] ...
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Energy-efficient wireless communication schemes and real-time middleware for machine-to-machine networks
... has to be active all the time when transmission from any associated device might ...it to be mains-powered. The traffic is mostly uplink from devices to the ...used to maintain ...
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Sistemas de provisionamiento para abonados de telefonía móvil
... Resumen Este documento trata de la instalación del sistema de provisión de abonados “Provisioning Gateway” PG para el proyecto Machine to Machine M2M de Ericsson, una tecnología que perm[r] ...
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Diseño e implementación de una red M2M integrando el robot RV2SDB y el Robotino Plus, que incorpore un sistema de posicionamiento mediante procesamiento de imágenes
... El objetivo del presente trabajo de titulación es diseñar una red de comunicaciones M2M (machine to machine) bajo el protocolo de comunicación GSM dentro de la cual se han involucrado los robots ...
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GUIDE FOR THE LECTURES (SLIDES AND ASSOCIATED MATERIAL)
... addition to the lecture slides and some exercises (check the course guide), some labs and one assignment are ...the Machine Learning library that will be used in this ...how to train and evaluate ...
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Machine learning-based CPS for clustering high throughput machine cycle conditions
... At machine level, CPS enable the use of data coming from different components to gather useful ...used to estimate the remaining useful life (RUL) of a ball-bearing using band energy measurements [3] ...
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Resguardos de Máquinas Machine Guards
... used to inform employers and workers of compliance requirements of OR-OSHA standards through simplification of the regulations should not be considered a substitute for any provisions of the Oregon Safe Employment ...
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Machine learning en la industria del automóvil
... El Machine Learning o aprendizaje automático es una disciplina científica dentro de la inteligencia artificial cuyo objetivo es programar algoritmos para que los sistemas sean capaces de aprender o desarrollar ...
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MASTER IN BIG DATA ANALYTICS
... the Machine Learning subject is introduced by using a classifcation task example, where sky objects have to be classified, that illustrates the main processes that must be followed in other classification ...
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Uso y clasificación de programas informáticos musicales considerados como abiertos y cerrados
... Dance Machine Hip Hop y Dance Machine Rave (Anaya Interactiva, 1999) se puede utilizar para conocer y crear composiciones en los estilos musicales de Hip Hop (véase figu- ra 3) y ...
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Introducción a Machine Learning Cuántico
... de machine learning se basan en la ejecuci´ on secuencial de ciertos algor´ıtmos, o subrutinas, los cuales suelen implementarse de forma modular, facilitando su uso en diferentes modelos de ...
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LARGE SCALE MACHINE LEARNING - MAPREDUCE -
... Reduce functions are sent the sum of (local) instances and the number of (local) instances: (num. Prototype, sum of instances, num. of instances). • Reduce functions just add the part[r] ...
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BASIC MODELS: NEAREST NEIGHBOURS AND TREE-BASED MODELS
... Maybe it is better to close the tree with the majority class ( Yes ), rather than choosing an attribute to continue splitting the data. Let’s suppose that data that got here was di[r] ...
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Intervención didáctica basada en el prototipo “Living machine” para fomentar capacidades argumentativas macroproyecto “Living machine"
... Por consiguiente se puede afirmar que para el nivel 2 de argumentación (Tabla 3) la intervención didáctica tuvo una incidencia significativamente alta en los estudiantes, esto se posibilita gracias a la capacidad ...
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Using Machine Learning to Optimize Parallelism in Big Data Applications
... present, to the best of our knowledge, the only Apache Spark prediction ...used to get statistics about the duration of the tasks and plugged into a formula that gives an esti- mation of the total run time ...
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Contributions to the contextualization of human-machine spoken interaction systems
... ficult to find accurate performance figures from real-world applications that can be extrapolated to other systems, or be worldwide accepted, provided that such metrics are commonly related to a ...
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Economic regimes identification using machine learning technics
... interesting to note that none of the implemented portfolios had a better result than the risky asset buy-and -hold ...needed to understand the predictor variables determinants to the strategy ...
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LARGE SCALE MACHINE LEARNING: SPARK
... • Actions force Spark to compute transformations on RDD • Results can be returned to the driver or saved to disk. • Every call to an action recomputes the transformation[r] ...
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Design and fabrication of grips for tensile tests
... Milling machine Cutting the 2 jaws out of steel bar (50x15mm) Sewing machine Milling the 2 jaws till the required thickness (12mm) Milling machine Drilling and chamfering the required holes in the ...
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A Tutorial on the Python Programming Language
... reduce(func,seq) – applies func to the items of seq, from left to right, two-at-time, to reduce the seq to a single value.. Writing and reading files.[r] ...
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