Search results for " consumption"

showing 10 items of 1307 documents

Quantitative assessment of the parameters linked to the blending between reclaimed asphalt binder and recycling agent: A literature review

2020

Abstract The lack of understanding the mechanisms governing the interaction between reclaimed asphalt binder (RAb) 1 and recycling agents is one of the technical issues that still need to be resolved when high amount of reclaimed asphalt (RA) 2 is used in a new recycled asphalt mixture (RAM). Due to important role of RAb in that interaction and increased used of RA, it becomes necessary to have a way to classify RA, as any other material used in asphalt mixture production. It is very important to determine how much RAb is active by itself (DoA) 3 , but also to determine how much RAb can be considered available for a mix design of RAM (DoAv) 4 when a recycling agent is used. Finally, since t…

Computer science0211 other engineering and technologies020101 civil engineering02 engineering and technologyMix designReclaimed asphalt pavement12. Responsible consumption0201 civil engineeringAsphalt pavementWarm mix asphalt021105 building & constructionQuantitative assessmentDegree of binder activityGeneral Materials ScienceProcess engineeringDegree of binder availabilityDegree of blendingCivil and Structural EngineeringDegree of binder activity; Degree of binder availability; Degree of blending; Hot mix asphalt; Reclaimed asphalt pavement; Recycled asphalt mixture; Warm mix asphaltRecycled asphalt mixturebusiness.industryBuilding and ConstructionHot mix asphaltAsphaltbusiness
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Efficient cluster-based routing algorithm for body sensor networks

2018

International audience; Body Sensor Networks have gained a lot of research interest lately for the variety of applications they can serve. In such networks where nodes might hold critical information about people's lives, designing efficient routing schemes is very important to guarantee data delivery with the lowest delay and energy consumption. Even though some cluster-based routing schemes were proposed in the literature, none of them offer a complete solution that guarantees energy and delay efficient routing in BSN. In this paper, we propose a robust cluster- based algorithm that increases the routing efficiency through every step of the routing process: cluster formation, cluster head…

Computer scienceDistributed computing010401 analytical chemistryRouting algorithm020206 networking & telecommunications[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyEnergy consumption[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation01 natural sciences0104 chemical sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Data delivery[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]MATLABcomputerWireless sensor networkCluster basedcomputer.programming_language2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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A decentralized load control architecture for smart energy consumption in small islands

2020

Abstract In this paper we propose the adoption of Overgrid, a new decentralized load control architecture, for balancing the energy production variations introduced with the adoption of renewable sources, facilitating and improving the smart energy retrofit. The system is presented and applied for managing the aggregated daily load profile of a community of domestic end-users in the island of Lampedusa, Italy, exploiting the load profiles gathered in a real measurement campaign. The Overgrid Demand Response (DR) architecture is used for managing the residential flexible loads, estimating the aggregated power demand without any centralized server and creating a virtual “community” of smart b…

Computer scienceDistributed computingGeography Planning and Development0211 other engineering and technologiesOverlay networkTransportationSmart grid02 engineering and technology010501 environmental sciences01 natural sciencesLoad profileDemand responseLoad shifting021108 energy0105 earth and related environmental sciencesCivil and Structural EngineeringBuilding automationRenewable Energy Sustainability and the Environmentbusiness.industryLoad curtailingLoad curtailing; Load shifting; Overlay network; Smart gridEnergy consumptionRenewable energySmart gridElectricity generationbusinessLoad shiftingSustainable Cities and Society
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Green food processing: concepts, strategies, and tools

2019

Abstract One of the developmental aspects of food science is testing and adapting advanced technologies for food production, which save resources and improve food quality. More often than not, this includes technologies operating at lower temperatures, shorter time, and resulting in better preservation of the thermolabile compounds in the foods, as compared to conventional technologies. Nutritionally rich but thermally sensitive raw materials such as fruit, vegetables, meats, and others can particularly benefit from the application of such advanced food technologies. Technologies with the most tested potential for industrial implementation include nonthermal plasma, pulsed electric field, h…

Computer scienceHydrostatic pressurePasteurizationRaw material7. Clean energy01 natural sciences12. Responsible consumptionlaw.invention0404 agricultural biotechnologylaw[SDV.IDA]Life Sciences [q-bio]/Food engineering[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringProcess engineeringComputingMilieux_MISCELLANEOUS2. Zero hungerbusiness.industry[SDE.IE]Environmental Sciences/Environmental Engineering010401 analytical chemistry04 agricultural and veterinary sciences040401 food science0104 chemical sciencesGreen food13. Climate actionFood processingFood qualitybusiness[SPI.GCIV.EC]Engineering Sciences [physics]/Civil Engineering/Eco-conception
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Energy Conscious Building Design

1987

Since the beginning of energy crisis many design tools have been developed in order to enable the designer to cope with energy consumption in buildings. These tools are of different kind: from very sophisticated simulation models to simplified (often too much) methods. Each of them offers various advantages and disadvantages, and it is up to the designer to choose among them.

Computer scienceOrder (business)Simulation modelingThermal comfortEnergy consumptionBuilding designHeat flowEnergy (signal processing)Reliability engineering
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Measurement, Prediction, and Control of Individual Heart Rate Responses to Exercise-Basics and Options for Wearable Devices.

2018

The use of wearable devices or "wearables" in the physical activity domain has been increasing in the last years. These devices are used as training tools providing the user with detailed information about individual physiological responses and feedback to the physical training process. Advantages in sensor technology, miniaturization, energy consumption and processing power increased the usability of these wearables. Furthermore, available sensor technologies must be reliable, valid, and usable. Considering the variety of the existing sensors not all of them are suitable to be integrated in wearables. The application and development of wearables has to consider the characteristics of the p…

Computer scienceProcess (engineering)Physiologyheart rate control0206 medical engineeringControl (management)Wearable computerphenomenological approaches02 engineering and technologyReviewUSablelcsh:Physiology03 medical and health sciences0302 clinical medicineheart rate predictionHuman–computer interactionPhysiology (medical)training monitoringWearable technologyheart rate modelinglcsh:QP1-981business.industrywearable sensorsUsability030229 sport sciencesEnergy consumption020601 biomedical engineeringVariety (cybernetics)load controlddc:004businessFrontiers in physiology
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Fuzzy Logic based model for self-optimizing energy consumption in IoT environment

2021

Energy optimization is essential in IoT environments due to energy constraints for some IoT components. In fact, energy consumption has a direct impact on IoT system lifetime, which represents an important Quality of Service (QoS) parameter for IoT environments. In order to extend the IoT system lifetime, energy consumption optimization should be considered in several IoT components. In this paper, we specify an energy self-optimizing mechanism allowing to minimize data transmission energy consumption of IoT objects. This mechanism enables selecting specific objects to send the desired data while minimizing the energy consumed for the corresponding communication. Our proposal is made of a M…

Computer scienceQuality of serviceDistributed computingContext (language use)Energy consumptionObject (computer science)Energy minimizationFuzzy logicEnergy (signal processing)Data transmission2021 IEEE Wireless Communications and Networking Conference (WCNC)
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Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach

2021

In mobile edge computing (MEC), partial computational offloading can be intelligently investigated to reduce the energy consumption and service delay of user equipment (UE) by dividing a single task into different components. Some of the components execute locally on the UE while the remaining are offloaded to a mobile edge server (MES). In this paper, we investigate the partial offloading technique in MEC using a supervised deep learning approach. The proposed technique, comprehensive and energy efficient deep learning-based offloading technique (CEDOT), intelligently selects the partial offloading policy and also the size of each component of a task to reduce the service delay and energy …

Computer scienceReal-time computingTP1-118502 engineering and technologyBiochemistryVDP::Teknologi: 500::Elektrotekniske fag: 540ArticleAnalytical Chemistry0202 electrical engineering electronic engineering information engineeringcomputational offloadingElectrical and Electronic EngineeringInstrumentationenergy efficiencyMobile edge computingArtificial neural networkbusiness.industryChemical technologyDeep learningdeep learning020206 networking & telecommunicationsEnergy consumptionAtomic and Molecular Physics and OpticsTask (computing)cost functionUser equipment020201 artificial intelligence & image processingmobile edge computingArtificial intelligenceEnhanced Data Rates for GSM Evolutionremote executionbusinessEfficient energy useSensors
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Reducing Power Consumption of Wireless Networks Through Collaborative DMC Mobile Clusters

2017

Reducing the energy consumption of the wireless network is significantly important to the economic and ecological sustainability of the ICT industry, as high energy consumption may limit the performance of wireless networks and is one of the main network costs. To solve energy consumption problem, especially on the terminal side, a scheme known as distributed mobile cloud (DMC) is considered to be a potential solution. Multiple mobile terminals (MTs) can cooperative to take advantage of good quality links among the MTs to save energy when receiving from the Base Station (BS). In this paper, we aim to find the optimal transmit power to further reduce the energy consumption of DMC. From simul…

Computer scienceReal-time computingkulutusmatkaviestinverkot02 engineering and technologyteho (fysiikka)energiansäästöklusteritBase station0203 mechanical engineeringDMCLimit (music)0202 electrical engineering electronic engineering information engineeringtransmit powerElectrical and Electronic EngineeringConsumption (economics)business.industryWireless networkpower consumption020206 networking & telecommunications020302 automobile design & engineeringEnergy consumptionTransmitter power outputComputer Science ApplicationsTerminal (electronics)green communicationsbusinessEnergy (signal processing)Computer networkWireless Personal Communications
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Energy Consumption Management of the Automated Self-service Centre’s Storage Module: Models and Simulations

2015

Computer scienceSelf-serviceSystems engineeringEnergy consumptionReliability engineering
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