end-to-end energy model
Delay Tolerant Users: A solution to end-to-end network energy efficiency
... consumption model of its access network components: the Base Station ...literature to reduce the energy consumption of the BSs and more generally, of the whole access ...incorporated to the ...
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End-to-end Energy Models for Edge Cloud-based IoT Platforms: Application to Data Stream Analysis in IoT
... our energy model of the IoT devices using the ns3 simulator [59] and we presente simulation results about the energy consumption of the IoT devices (Section ...used to provide real ...
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End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort
... a model to predict future energy loads and indoor temperature based on the HVAC system and weather data, (ii) calibrating the unknown parameters of this model with real data obtained from ...
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CoMe4ACloud: An End-to-End Framework for Autonomic Cloud Systems
... order to keep an acceptable solving time while limiting the number of planning actions and maximizing the balance, it is interesting to choose the strategy 740 according to the ...efficient to ...
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Architecting end-to-end convergence of Web and Telco services
... needs to be addressed by both Web and telecom ...able to provide an efficient way to set up end-to-end converging ...has to be explicitly requested by the consumer and ...
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Towards End-to-End spoken intent recognition in smart home
... react to voice commands, whether it is for answering a question, providing music or turning on the ...lights. To be efficient, these systems must be able to extract the intent of the user from the ...
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End-to-End 6DoF Pose Estimation From Monocular RGB Images
... is to infer where you are and is key to the applications of mobile robotics, navigation and augmented reality, where localization is crucial for ...network to regress the 6DoF camera pose from a ...
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End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
... close to approaches that were developed several decades ago (see, [13]), they greatly benefit from the large amounts of labeled data that have been made available recently, allowing to learn huge numbers of ...
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End-to-end simulations of the E-ELT/METIS coronagraphs
... corresponds to about ...cubes to the METIS pixel size of ...used to convert the PROPER simulations into ADU, assuming a target star of magnitude L=5, and to add the contribution of the thermal ...
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Convergence to multi-resource fairness under end-to-end window control
... with end-to-end congestion control would lead to approxi- mately equal flow bit rates, as in a wired ...intended to realize proportional fairness through TCP congestion ...uler to ...
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Worst-case end-to-end delays evaluation for SpaceWire networks
... required to allow the use of preemp- tion with few virtual channels (even only ...message to the lowest priority ...sent to the source of the packet and the body of the packet is transmitted along ...
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Response Selection for End-to-End Retrieval-Based Dialogue Systems
... edge to be structured as databases, ontologies or even separate ...sources to enrich the ...it to find the context-response pairs that match the retrieved ...encoder-decoder model with an ...
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Using Network Calculus to compute end-to-end delays in SpaceWire networks
... scheduled to be used as the sole on-board network for future ...lead to packet blocking in routers and consequently to variable end-to-end ...tool to check that temporal ...
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Dealing with AADL End-to-end Flow Latency with UML MARTE
... Figure 3. Flow extracted from an AADL model. There are three kinds of ports in AADL: data, event and event-data. Data ports are for data transmissions without queuing. Connections between data ports are either ...
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End-to-end named entity and semantic concept extraction from speech
... BLSTM to model context information of each ...used to jointly decode labels for the whole sen- ...tem. To measure the impact of POS, we used the MACAON system [21] to tag the ...
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End-To-End Performance Analysis of Two-Hop Asynchronous Cooperative Diversity
... System 3 : R1 and R2 receive the data, estimate the channel parameters as shown in section III but no separately decoding is performed in r-VAA, then an unprocessed version of the receiv[r] ...
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Websocket Enabler: achieving IMS and Web services end-to-end convergence
... is to define an efficient agnostic orchestration framework processing synchronous and asynchronous services ...equally. To this end we undertook a deep study of the Orc orchestration language ...
4
Dealing with AADL end-to-end Flow Latency with UML Marte.
... connectors to connect ...used to represent AADL communications using either event or event-data ...policy to select which one of the tokens stored in the object node is ...impossible to ...
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End-to-End Learning of Polygons for Remote Sensing Image Classification
... One of the most important problems of remote sensing im- age analysis is image classification, which means identify- ing a thematic class at every pixel location. A key applica- tion consists in integrating the ...
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A Non-intrusive Tool Chain to Optimize MPSoC End-to-end Systems
... Algorithm to build the function call ...on to the next step, checking the instruction ...go to the next step to compute the function ...thanks to its address in the disassembled ...
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