Search results for "Emerging technologies"

showing 10 items of 317 documents

What Can Linguistics Do to Technology Design?

2021

Intelligent technologies have already revolutionized the economy, and they will continue to do so via autonomous, AI-based systems and artefacts. Artefacts can handle much more intellectually complicated tasks than was possible before. However, the technological transformation will set new demands for technology design and designers. Designing electromechanical technologies has been based on natural science, but intelligent technologies will extensively use knowledge of human research and information processing to create new artefacts. Intelligent information processing has so far been possible only for biological systems and especially for human minds. Therefore, their functions and behavi…

Computer scienceEmerging technologies05 social sciencesInformation processingDesign thinkingLanguage and thought06 humanities and the arts0603 philosophy ethics and religionDesign languageLinguisticsExplication060302 philosophy0502 economics and businessSet (psychology)050203 business & managementDesign technology
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Smart Mobility Trends: Open Data and Other Tools

2018

The Strategic Implementation Plan for speeding up the transformation of European Cities into "Smart cities" establishes 6 Actions Clusters and 11 Priority Areas. Some of them are directly related to the transport and sustainable urban mobility. The main goal is the application of new technologies to minimize the loss of time and energy, and to improve the satisfaction of citizens. The use and reuse of information as open data, already collected from the Public Administration and private entities is a source of possibilities adding extra value. Technologies such as Bluetooth sensors, Open Data platforms etc., become essential elements to achieve this goal. This paper highlights the opportuni…

Computer scienceEmerging technologiesMechanical Engineering02 engineering and technologyPlan (drawing)010501 environmental sciencesReuse01 natural sciencesData scienceComputer Science ApplicationsDomain (software engineering)law.inventionBluetoothOpen dataIntelligent sensorlawAutomotive Engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingUse case0105 earth and related environmental sciencesIEEE Intelligent Transportation Systems Magazine
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Evaluating a Future Remote Control Environment with an Experience-Driven Science Fiction Prototype

2015

The case study presented in this paper aimed at discovering opportunities for ambient intelligence and new interaction methods for a future remote crane-operating environment. The theoretical objective was to carry out an experience-driven research project in an industrial work context, and the practical objective was to create and evaluate a future oriented science fiction prototype. The work was carried out in close co-operation with an industrial partner who was a domain expert in the field of crane industry. The aim was to focus on clearly defined user experience goals to which the industrial partner committed. The consequent immediate objective was to focus on two explicit experiences …

Computer scienceEmerging technologiesremote crane operationuser experience (UX)Sense of communityscience fiction prototypingField (computer science)law.inventionDomain (software engineering)User experience designintelligent environment (IE)Human–computer interactionlawhuman-computer interactionuser experienceta113Ambient intelligencebusiness.industryscience fiction prototyping (SFP)human-computer interaction (HCI)Engineering managementWork (electrical)intelligent environmentbusinessRemote control
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Efficient anomaly detection on sampled data streams with contaminated phase I data

2020

International audience; Control chart algorithms aim to monitor a process over time. This process consists of two phases. Phase I, also called the learning phase, estimates the normal process parameters, then in Phase II, anomalies are detected. However, the learning phase itself can contain contaminated data such as outliers. If left undetected, they can jeopardize the accuracy of the whole chart by affecting the computed parameters, which leads to faulty classifications and defective data analysis results. This problem becomes more severe when the analysis is done on a sample of the data rather than the whole data. To avoid such a situation, Phase I quality must be guaranteed. The purpose…

Computer scienceSample (material)0211 other engineering and technologies02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing010104 statistics & probabilitysymbols.namesake[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]ChartControl chartEWMA chart0101 mathematics021103 operations researchData stream miningbusiness.industryPattern recognition[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]OutliersymbolsAnomaly detection[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Artificial intelligence[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessGibbs sampling
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A new autonomous data transmission reduction method for wireless sensors networks

2018

International audience; The inherent limitation in energy resources and computational power for sensor nodes in a Wireless Sensor Network, poses the challenge of extending the lifetime of these networks. Since radio communication is the dominant energy consuming activity, most presented approaches focused on reducing the number of data transmitted to the central workstation. This can be achieved by deploying both on the workstation and the sensor node a synchronized prediction model capable of forecasting future values. Thus, enabling the sensor node to transmit only the values that surpasses a predefined error threshold. This mechanism offers a decrease in the cost of transmission energy f…

Computer sciencebusiness.industryReal-time computing020206 networking & telecommunications[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation7. Clean energy[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingReduction (complexity)[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Transmission (telecommunications)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]020204 information systemsSensor node0202 electrical engineering electronic engineering information engineeringWireless[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkEnergy (signal processing)Data transmissionData reduction2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks

2018

International audience; In Body Sensor Networks (BSNs), two types of events should be addressed: periodic and emergency events. Traffic rate is usually low during periodic observation, and becomes very high upon emergency. One of the main and challenging requirements of BSNs is to design Medium Access Control (MAC) protocols that guarantee immediate and reliable transmission of data in emergency situations, while maintaining high energy efficiency in non-emergency conditions. In this paper, we propose a new emergency aware hybrid DTDMA/DS-CDMA protocol that can accommodate BSN traffic variations by addressing emergency and periodic traffic requirements. It takes advantage of the high delay …

Computer sciencedelayAccess control02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]DTDMAlcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistry[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingBSN[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]energy consumption0202 electrical engineering electronic engineering information engineeringWirelesslcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationMACbusiness.industryNetwork packet010401 analytical chemistryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsEnergy consumption[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationAtomic and Molecular Physics and Optics0104 chemical sciences[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]packet drop[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkEfficient energy useComputer networkDS-CDMAOPNETSensors
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Numerical Simulation of Thermal Effects in Coupled Optoelectronic Device-circuit Systems

2008

The control of thermal effects becomes more and more important in modern semiconductor circuits like in the simplified CMOS transceiver representation described by U. Feldmann in the above article Numerical simulation of multiscale models for radio frequency circuits in the time domain. The standard approach for modeling integrated circuits is to replace the semiconductor devices by equivalent circuits consisting of basic elements and resulting in so-called compact models. Parasitic thermal effects, however, require a very large number of basic elements and a careful adjustment of the resulting large number of parameters in order to achieve the needed accuracy.

Computer simulationComputer scienceHardware_PERFORMANCEANDRELIABILITYSemiconductor deviceIntegrated circuitlaw.inventionComputer Science::Hardware ArchitectureComputer Science::Emerging TechnologiesCMOSHardware_GENERALlawHardware_INTEGRATEDCIRCUITSElectronic engineeringEquivalent circuitTime domainTransceiverElectronic circuit
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Labor Law and Technological Challenges

2021

Technology is changing the way in which workers are controlled. From video cameras to GPS, these technologies allow for constant monitoring of workers’ activities; however, recently two new forms of control have emerged. One consisting in giving customers a controlling role over workers’ performance and another, the “big data” (algorithms and artificial intelligence) which allow employers to process information about their employees in a far more efficient manner and at a much lower cost than has been the case until now. This makes it possible to profile workers automatically and even allows technology itself to replace human resources supervisors and managers and to make decisions that hav…

ComputingMilieux_THECOMPUTINGPROFESSIONbusiness.industryEmerging technologiesmedia_common.quotation_subjectLabour lawControl (management)Big dataPromotion (rank)Global Positioning SystemLower costBusinessMarketingHuman resourcesmedia_common
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Sublimable chloroquinolinate lanthanoid single-ion magnets deposited on ferromagnetic electrodes† †Electronic supplementary information (ESI) availab…

2017

Magnetic analogues of Alq3 give rise to molecular/ferromagnetic interfaces with specific hybridization, opening the door to interesting spintronic effects.

Condensed Matter::Materials ScienceChemistryComputer Science::Emerging TechnologiesCondensed Matter::Mesoscopic Systems and Quantum Hall EffectChemical Science
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Social sensitivity:a manifesto for CSCL research

2021

International audience; Technologies for computer-supported collaborative learning (CSCL) are playing an increasingly prominent role in educational contexts, especially as teachers and students strive to deal with pandemic-related constraints. However, the technologies being used for collaboration on a daily basis are not sufficiently equipped to promote collaborative learning as both a cognitive and a socio-emotional process. They may even run the risk of hindering the constructive exchange of ideas and provoking disputes and negative encounters. In this squib, we argue that the field of CSCL is failing to address this risk, because our research efforts are far too scattered and siloed. We…

Cooperative learningManifestokoulutusteknologiaProcess (engineering)Emerging technologiescollaborative learning[SHS.PSY]Humanities and Social Sciences/Psychologyeducational technologysosiaalinen vuorovaikutusConstructiveArticle[SHS]Humanities and Social Sciencessocial sensitivityEducationtietokoneavusteinen oppiminen0501 psychology and cognitive sciencesSociologyyhteisöllinen oppiminenComputingMilieux_MISCELLANEOUS4. Education05 social sciencesSocial changeEducational technology050301 educationCollaborative learningSocial sensitivitySocial sensitivity · Collaborative learning · Emerging technologies · Educational technologyCollaborative learningemerging technologiesHuman-Computer InteractionEducational technologyEmerging technologiesEngineering ethics[SHS] Humanities and Social Sciences0503 education050104 developmental & child psychology
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