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Machine-to-Machine (M2M)

A machine-to-machine architecture to merge semantic sensor measurements

A machine-to-machine architecture to merge semantic sensor measurements

... field Machine-to-Machine (M2M) enables machines to communicate with each other without human ...PDA) to access to ...how to manage ...

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Graph-based formalism for Machine-to-Machine self-managed communications

Graph-based formalism for Machine-to-Machine self-managed communications

... Abstract— Machine-to-Machine communications comprise a large number of intelligent devices sharing information and making cooperative decisions without any human ...intervention. To support ...

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2017 — Towards reliable communication in LTE-A connected heterogeneous machine to machine network

2017 — Towards reliable communication in LTE-A connected heterogeneous machine to machine network

... ABSTRACT Machine to machine (M2M) communication is an emerging technology that enables heteroge- neous devices to communicate with each other without human intervention and thus forming ...

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Cache Coherence in Machine-to-Machine Information Centric Networks

Cache Coherence in Machine-to-Machine Information Centric Networks

... model to a content-centric model. ICN architectures target to meet user demands for accessing the information regardless of its ...Concomitantly, Machine-to- Machine (M2M) technologies ...

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An Ontology-Based Approach for Helping to Secure the ETSI Machine-to-Machine Architecture

An Ontology-Based Approach for Helping to Secure the ETSI Machine-to-Machine Architecture

... ETSI Machine to Machine (M2M) architecture is a difficult task, since there is a need to secure heterogeneous wireless communications (cellular, wireless, wired), devices (sensor or mobile ...

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Cellular-based machine-to-machine : congestion control and power management

Cellular-based machine-to-machine : congestion control and power management

... industrial and environment monitoring, eHealth, and Intelligent Transport System ( ITS ). This diversity of M2M applications will surely lead to real deployment of IoT vision and also bring the smart city vision ...

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On the performance of UNB for Machine-To-Machine Low Earth Orbit (LEO) satellite communications

On the performance of UNB for Machine-To-Machine Low Earth Orbit (LEO) satellite communications

... Among the variety of M2M applications, a new type of need is clearly emerging for very cheap service (< 10$ per year) on cheap terminal devices (< 10$) with very long autonomy (years with a single AA battery) and ...

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An M2M gateway-centric architecture for autonomic healing and optimizing of Machine-to-Machine overlay networks

An M2M gateway-centric architecture for autonomic healing and optimizing of Machine-to-Machine overlay networks

... wants to create a new HBMON with a given correspond node (the responder), it sends to this responder a I1 HIP message con- taining a new field named ...RVS-Discovery-Request to this specific anycast ...

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Machine-to-Machine (M2M) Communications in Next Generation Networks: Spectrum management and energy efficiency
.

Machine-to-Machine (M2M) Communications in Next Generation Networks: Spectrum management and energy efficiency .

... due to gateway saturation. It is noteworthy to mention that no packets were lost due to lack of sensitivity because increasing the spreading factor increases at its turn the range and the probability ...

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How to bring machine learning in industrial networks?

How to bring machine learning in industrial networks?

... We will start by low range wireless technologies. The main technologies in this category are RFID, IEEE 802.15.4 and Bluetooth. IEEE 802.15.4 is the base of WIA-PA (Wire- less Networks for Industrial Automation–Process ...

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Self-management of Machine-to-Machine communications: a multi-models approach

Self-management of Machine-to-Machine communications: a multi-models approach

... :KHQHYHU D QHZ HQWLW\ MRLQV WKH V\VWHP RU LV VWDUWHG LW LV VSRWWHG E\ WKH IXQFWLRQDO OD\HU WKURXJK LWV GLVFRYHU\ SURWRFRO 7KUHH W\SHV RI HQWLWLHV DUH FRQVLGHUHG FRQWDLQHUV DSSOLFDWLR[r] ...

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Modèle Multi-Agent de gouvernance de réseau Machine-to-Machine pour la gestion intelligente de place de parking

Modèle Multi-Agent de gouvernance de réseau Machine-to-Machine pour la gestion intelligente de place de parking

... Ce problème se pose car, la plupart du temps les personnes viennent avec leurs propres moyens de transport individuels, causant, une concurrence importante pour occuper les places de s[r] ...

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Machine Learning Applied to Airspeed Prediction During Climb

Machine Learning Applied to Airspeed Prediction During Climb

... According to this table, using the baseline, the RMSE is around 20 kts for all the aircraft types except for the B744, the E145 and the ...specific to the considered ...compared to the “mean” method, ...

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Calibration of Machine Tools Using on Machine Probing of an Indigenous Artefact

Calibration of Machine Tools Using on Machine Probing of an Indigenous Artefact

... RÉSUMÉ Les centres d’usinage cinq axes avec deux axes rotatifs facilitent la production des pièces complexes grâce à la capacité de positionnement et d’orientation de l’outil par rapport à la pièce en cours d’usinage. ...

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Procédé de fabrication d’une machine électrique tournante synchrone polyphasée, et machine correspondante

Procédé de fabrication d’une machine électrique tournante synchrone polyphasée, et machine correspondante

... la machine comportant vingt cinq encoches ou vingt cinq bobines dans le cas d’un bobinage double couche pour dix pôles, tel que cela est visible dans le tableau de la figure 3, dans la case ...la machine ...

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Jouez avec les neurones de la machine

Jouez avec les neurones de la machine

... En pratique, on arrive à trouver des paramètres satisfaisants, mais il n’y a pas vraiment de cadre théorique pour formaliser tout cela, c’est affaire d’expérience : choisir le bon nombre [r] ...

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The connection machine

The connection machine

... Other researchers have proposed connecting dozens or even hundreds of conventional computers by shared memory or a high bandwidth communications network. Several of t[r] ...

157

Automatic Gauze Machine

Automatic Gauze Machine

... CONCLUSION: With the help of this project and after evaluating the system statistically, all Medical Centers that use Gauze could save budget and time for nurses and medical staff by using the developed Automatic Gauze ...

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Applying machine learning to event data in soccer

Applying machine learning to event data in soccer

... events to symbols, which are described in the results of previous work completed by this research group in basketball ...was to show the usefulness of applying the same principle of defining different ...

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Machine Learning Applied to Airspeed Prediction During Climb

Machine Learning Applied to Airspeed Prediction During Climb

... Applying Machine Learning techniques on the trajectory prediction problem is not a new idea. A decade ago, [17] has applied artificial neural network on this problem. It has also been investigated more recently ...

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