Search results for "Computer Science Application"

showing 10 items of 3998 documents

Technologies for green radio communication networks

2011

Since the introduction of cellular communications in the early '80s, the demand for two-way mobile communication services has increased tremendously. Today there are over 4 billion mobile users and 4.6 million radio base station sites worldwide. This rapid growth of the cellular mobile industry has been at the price of increased energy consumption and a sizable carbon footprint.

business.industryComputer scienceEnergy consumptionTelecommunications networkComputer Science ApplicationsEnergy conservationCellular communicationSustainable designCarbon footprintMobile telephonyElectrical and Electronic EngineeringbusinessTelecommunicationsEfficient energy useIEEE Wireless Communications
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A real-time auto calibration technique for stereo camera

2020

Calibration of the internal and external parameters of a stereo vision camera is a well-known research problem in the computer vision. Usually, to get accurate 3D results the camera should be manua...

business.industryComputer scienceEpipolar geometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringComputer Science ApplicationsStereopsisComputer visionArtificial intelligenceFundamental matrix (computer vision)businessAuto calibrationStereo cameraSoftwareInternational Journal of Computer Aided Engineering and Technology
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Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections

2014

A fast 3D/4D structure-sensitive procedure was developed and assessed for the chemical shift prediction of protons bonded to sp3carbons, which poses the maybe greatest challenge in the NMR spectral parameter prediction. The LPNC (Linear Prediction with Nonlinear Corrections) approach combines three well-established multivariate methods viz. the principal component regression (PCR), the random forest (RF) algorithm, and the k nearest neighbors (kNN) method. The role of RF is to find nonlinear corrections for the PCR predicted shifts, while kNN is used to take full advantage of similar chemical environments. Two basic molecular models were also compared and discussed: in the MC model the desc…

business.industryComputer scienceGeneral Chemical EngineeringMonte Carlo methodLinear predictionGeneral ChemistryLibrary and Information SciencesMachine learningcomputer.software_genreComputer Science ApplicationsRandom forestk-nearest neighbors algorithmMolecular dynamicsNonlinear systemPrincipal component regressionArtificial intelligenceStatistical physicsbusinessConformational isomerismcomputerta116Journal of Chemical Information and Modeling
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A comparative molecular dynamics-phase-field modeling approach to brittle fracture

2016

Abstract In this work, a novel comparative method for highly brittle materials such as aragonite crystals is proposed, which provides an efficient and accurate in-sight understanding for multi-scale fracture modeling. In particular, physically-motivated molecular dynamics (MD) simulations are performed to model quasi-static brittle crack propagation on the nano-scale and followingly compared to macroscopic modeling of fracture using the phase-field modeling (PFM) technique. A link between the two modeling schemes is later proposed by deriving PFM parameters from the MD atomistic simulations. Thus, in this combined approach, MD simulations provide a more realistic meaning and physical estima…

business.industryComputer scienceMechanical EngineeringComputational MechanicsGeneral Physics and AstronomyNew materials02 engineering and technologyStructural engineering021001 nanoscience & nanotechnologyCombined approachBiological materialsComputer Science ApplicationsCondensed Matter::Materials ScienceMolecular dynamics020303 mechanical engineering & transportsBrittleness0203 mechanical engineeringBrittle crackMechanics of MaterialsStatistical physics0210 nano-technologybusinessBrittle fractureComputer Methods in Applied Mechanics and Engineering
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5G V2V Communication With Antenna Selection Based on Context Awareness: Signaling and Performance Study

2022

Enhanced vehicle-to-everything (eV2X) communication is one of the key challenges to be addressed by the fifth generation (5G) of cellular mobile communications. In particular, eV2X includes some 5G vehicular applications targeting fully autonomous driving which require ultra-high reliability. Although vehicular communications are by default assumed between single antennas located on the roof of the transmitter and receiver vehicles, prior art has shown that there are other antenna positions more suitable for V2X communication, depending on the specific communication context. Antenna selection can be used in this case to select one specific antenna or a subset of them better suited for a cer…

business.industryComputer scienceMechanical EngineeringTransmitterContext (language use)Radio Resource ControlComputer Science ApplicationsAutomotive EngineeringContext awarenessOverhead (computing)Mobile telephonyRadio resource managementAntenna (radio)businessComputer networkIEEE Transactions on Intelligent Transportation Systems
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AI-enabled adaptive learning systems: A systematic mapping of the literature

2021

Abstract Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled learning systems, which are gaining traction due to their ability to deliver learning content and adapt to the individual needs of students. Yet, even though these contemporary learning systems are useful educational platforms that meet students’ needs, there is still a low number of implemented systems designed to address the concerns and problems faced by many students. Based on this perspective, a systematic mapping of the literature on AI-enabled adaptive le…

business.industryComputer sciencePerspective (graphical)Big dataPsychological interventionCloud computingQA75.5-76.95Data scienceComputer Science ApplicationsEducationVisualizationIdentification (information)Artificial IntelligenceAIElectronic computers. Computer scienceAI-Enabled learning systemsAdaptive learningSystematic mappingbusinessAdaptive learning systemsVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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D Sensor-Based Obstacle Detection Comparing Octrees and Point clouds Using CUDA

2012

This paper presents adaptable methods for achieving fast collision detection using the GPU and Nvidia CUDA together with Octrees. Earlier related work have focused on serial methods, while this paper presents a parallel solution which shows that there is a great increase in time if the number of operations is large. Two dierent models of the environment and the industrial robot are presented, the rst is Octrees at dierent resolutions, the second is a point cloud representation. The relative merits of the two dierent world model representations are shown. In particular, the experimental results show the potential of adapting the resolution of the robot and environment models to the task at h…

business.industryComputer sciencePoint cloudComputer Science ApplicationsComputational sciencelaw.inventionIndustrial robotTask (computing)CUDAControl and Systems EngineeringlawModeling and SimulationObstacleRobotComputer visionCollision detectionArtificial intelligencebusinessRepresentation (mathematics)SoftwareModeling, Identification and Control: A Norwegian Research Bulletin
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Hemoglobin point-of-care testing: the HemoCue system.

2013

Besides the use of traditional laboratory resources, the diagnosis of anemia can also be accomplished by assessing hemoglobin (Hb) concentration with point-of-care testing (POCT) devices such as the HemoCue test systems. In several situations, these devices might suitably replace traditional laboratory testing, including several areas of health care where a very rapid Hb measurement might be required to make immediate therapeutic decisions. The use of these devices, however, should fulfill some basic criteria, including economic, clinical, and regulatory issues; appropriate training of the users and knowledge of test requirements, performance, limitations, and potential interferences; the u…

business.industryComputer scienceQuality assessmentPoint-of-care testingPoint-of-Care SystemsAnemiahemoglobinLaboratory testinganemia; hemoglobin; point-of-care testingComputer Science ApplicationsTest (assessment)Medical Laboratory Technologypoint-of-care testingHemoglobinsRisk analysis (engineering)Equipment and SuppliesHealth careAnimalsHumansTest requirementsbusinessDelivery of Health CareSoftwareBiomedical engineeringJournal of laboratory automation
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A new inter-cloud service-level guarantee protocol applied to space missions

2017

Nowadays, the term cloud computing often falsely assumes the availability of an unlimited pool of resources. On the contrary, if a cloud provider reaches its limits, it may pose the risk of breaking their service level agreement (SLA). Space agencies could start using the cloud computing model within their IT infrastructure with multiple ground control points around the world to reduce the cost. An inter-cloud communication protocol with a guarantee of the service level will significantly reduce the cost if each ground control segment is considered as a cloud provider. This paper outlines a new protocol that was developed to take into consideration the end-to-end service-level guarantee. Th…

business.industryComputer scienceQuality of serviceDistributed computingApplied MathematicsCloud computing02 engineering and technology01 natural sciencesComputer Science ApplicationsManagement Information SystemsService-level agreement020204 information systemsService level0103 physical sciencesScalability0202 electrical engineering electronic engineering information engineeringSpace industrybusinessCommunications protocol010303 astronomy & astrophysicsProtocol (object-oriented programming)Computer networkInternational Journal of Grid and Utility Computing
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Fast algorithm for detection of reference spheres in digital panoramic radiography.

2009

In this paper, an algorithm for detection of reference spheres from digital panoramic radiographic images is presented. The proposed algorithm was tested on a database of 107 digital panoramic radiographic images which were used for dental diagnostics. Results show that the proposed method exhibits for detection of reference spheres, a sensitivity of 97.33% and specificity of 93.85%. Performance time differed between 0.55 and 2.36s depending on image size. The aim of this work was to provide a fast ellipse detection algorithm to reduce measuring time on preoperative implant planning by lowering the computational cost.

business.industryComputer scienceRadiographyHealth InformaticsRadiography Dental DigitalEllipseFast algorithmSensitivity and SpecificityComputer Science ApplicationsDental ImplantationSurgery Computer-AssistedPattern recognition (psychology)HumansComputer visionSPHERESArtificial intelligenceSensitivity (control systems)Diagnosis Computer-AssistedbusinessImage resolutionAlgorithmsSoftwareComputers in biology and medicine
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