Search results for "oftware"

showing 10 items of 7396 documents

Diagnosis of Incipient Bearing Faults using Convolutional Neural Networks

2019

The majority of faults occurring in rotating electrical machinery is attributed to bearings. To reduce downtime, it is desired to apply various diagnostic methods so that bearing degradation can be detected in good time prior to a complete failure. The work presented in this paper utilizes a data-driven machine learning approach based on convolutional neural networks (CNNs) in order to diagnose different types of bearing faults. A one-dimensional CNN is trained on vibration signals and compared to a two-dimensional CNN trained in time-frequency domain using continuous wavelet transform (CWT). The proposed method is demonstrated on data collected from run-to-failure tests.The results show th…

DowntimeBearing (mechanical)business.industryComputer science020208 electrical & electronic engineeringPattern recognition02 engineering and technologyConvolutional neural networkDomain (software engineering)law.inventionVibrationlaw020204 information systems0202 electrical engineering electronic engineering information engineeringRange (statistics)Artificial intelligencebusinessContinuous wavelet transformDegradation (telecommunications)2019 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
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A framework for data integration of offshore wind farms

2013

Abstract Operation and maintenance play an important role in maximizing the yield and minimizing the downtime of wind turbines, especially offshore wind farms where access can be difficult due to harsh weather conditions for long periods. It contributes up to 25–30% to the cost of energy generation. Improved operation and maintenance (O&M) practices are likely to reduce the cost of wind energy and increase safety. In order to optimize the O&M, the importance of data exchange and knowledge sharing within the offshore wind industry must be realized. With more data available, it is possible to make better decisions, and thereby improve the recovery rates and reduce the operational costs. This …

DowntimeEngineeringWind powerRenewable Energy Sustainability and the Environmentbusiness.industryYield (finance)Environmental economicscomputer.software_genreKnowledge sharingOffshore wind powerElectricity generationData exchangebusinesscomputerMarine engineeringData integrationRenewable Energy
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MAC-Engine

2011

In this demo, we prove that the flexibility supported by off-the-shelf IEEE 802.11 hardware can be significantly extended if we move the control of the MAC programming interface from the driver to the firmware, i.e. from the host CPU to the card CPU. To this purpose, we introduce the concept of MAC--Engine, that is an executor of Programmable Finite State Machines (PFSM) implemented at the firmware level: we show how the card itself can support different protocol logics thanks to PFSM bytecode representations that can be dynamically injected inside the card memory at run-time without incurring in down time issues or network disconnect events. We provide different PFSM examples in order to t…

DowntimeFinite-state machineComputer scienceFirmwarebusiness.industryInterface (computing)computer.software_genreExecutorBytecodeEmbedded systemOperating systembusinessProtocol (object-oriented programming)computerHost (network)Computer hardwareProceedings of the 6th ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
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Drivers, barriers and impacts of digitalisation in rural areas from the viewpoint of experts

2022

Abstract Context: The domain of rural areas, including rural communities, agriculture, and forestry, is going through a process of deep digital transformation. Digitalisation can have positive impacts on sustainability in terms of greater environmental control, and community prosperity. At the same time, it can also have disruptive effects, with the marginalisation of actors that cannot cope with the change. When developing a novel system for rural areas, requirements engineers should carefully consider the specific socio-economic characteristics of the domain, so that potential positive effects can be maximised, while mitigating negative impacts. Objective: The goal of this paper is to sup…

Driversinterviewstuottavuus02 engineering and technologyRural areas12. Responsible consumptionempirical studymetsätalousInterviewstaloudelliset vaikutuksetmaatalousSustainability requirements0502 economics and businesssustainability requirements0202 electrical engineering electronic engineering information engineeringmaaseutudigitalisationdigitalisaatioRequirements Engineeringkestävä kehitys05 social sciencesSoftware Engineering020207 software engineeringAgricultureForestryteknologinen kehityskehittäminenSoftware engineering Requirements engineering Sustainability requirements Interviews Digitalisation Empirical studyEmpirical studyComputer Science ApplicationsDigitalisationympäristövaikutuksetImpactsaluekehitysrequirements engineeringohjelmistokehitys050203 business & managementSoftwareBarriersInformation Systemssoftware engineering
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New antitrichomonal drug-like chemicals selected by bond (edge)-based TOMOCOMD-CARDD descriptors.

2008

Bond-based quadratic indices, new TOMOCOMD-CARDD molecular descriptors, and linear discriminant analysis (LDA) were used to discover novel lead trichomonacidals. The obtained LDA-based quantitative structure-activity relationships (QSAR) models, using nonstochastic and stochastic indices, were able to classify correctly 87.91% (87.50%) and 89.01% (84.38%) of the chemicals in training (test) sets, respectively. They showed large Matthews correlation coefficients of 0.75 (0.71) and 0.78 (0.65) for the training (test) sets, correspondingly. Later, both models were applied to the virtual screening of 21 chemicals to find new lead antitrichomonal agents. Predictions agreed with experimental resu…

DrugAdultQuantitative structure–activity relationshipStereochemistrymedia_common.quotation_subjectOvariectomyDrug Evaluation PreclinicalTrichomonas InfectionsAntitrichomonal AgentsBiochemistryAnalytical Chemistrychemistry.chemical_compoundIn vivoMolecular descriptorDrug Resistance BacterialTrichomonas vaginalisAnimalsHumansRats Wistarmedia_commonChromatographyMolecular StructureChemistryDiscriminant AnalysisLinear discriminant analysisRatsAntitrichomonal agentEdge basedMolecular MedicineComputer-Aided DesignFemaleSoftwareBiotechnologyJournal of biomolecular screening
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A multilevel object-oriented modelling methodology for physiologically-based pharmacokinetics (PBPK): Evaluation with a semi-mechanistic pharmacokine…

2019

Abstract Background and objective The aims of this study are (i) to assess the predictive reliability of the physiologically based software PhysPK versus the well-known population approach software NONMEM for the cited semi-mechanistic PK model, (ii) to determine whether these modelling approaches are interchangeable and (iii) to compare acausal with causal modelling approaches in the framework of semi-mechanistic PK models. Methods A semi-mechanistic model was proposed, which assumed oral administration of a solid dosage form with a peripheral compartment and two active metabolites. The model incorporates intestinal transit, dissolution limited by solubility, variable efflux transporter ex…

DrugPhysiologically based pharmacokinetic modellingComputer sciencemedia_common.quotation_subjectPopulationCmaxHealth InformaticsModels BiologicalDosage form030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineSoftwarePharmacokineticsPharmacokineticseducationmedia_commonVariable (mathematics)education.field_of_studybusiness.industryReproducibility of ResultsExpression (computer science)Computer Science ApplicationsNONMEMSolubilityArea Under CurvebusinessBiological system030217 neurology & neurosurgerySoftwareComputer methods and programs in biomedicine
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Improving Pattern Recognition Based Pharmacological Drug Selection Through ROC Analysis

2004

The design of new medical drugs is a very complex process in which combinatorial chemistry techniques are used. The goal consists of discriminating between molecular compounds exhibiting or not certain pharmacological activities. Different machine learning approaches have been recently applied to different drug design problems leading to competitive results in pointing at particular compounds with high probability of exhibiting activity. The present work first deeps into the natural trade-off between accuracy in the much less populated active group and false alarm rate which could lead to too many expensive laboratory tests. Preliminary results show how different classification techniques a…

DrugReceiver operating characteristicCombinatorial Chemistry TechniquesComputer sciencebusiness.industryProcess (engineering)media_common.quotation_subjectMachine learningcomputer.software_genrePattern recognition (psychology)Artificial intelligencebusinesscomputerSelection (genetic algorithm)media_common
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SPCCTDM, a Catalogue for Analysis of Therapeutic Drug Monitoring Related Contents in the Drug Prescription Information

2010

Therapeutic drug monitoring (TDM) has consistently been shown to be useful for optimization of drug therapy. For the first time, a method has been developed for the text analysis of TDM in SPCs in that a catalogue SPC-ContentTDM (SPCCTDM) provides a codification of the content of TDM in SPCs. It consists of six structure-related items (dose, adverse drug reactions, drug interactions, overdose, pregnancy/breast feeding, and pharmacokinetics) according to implicit or explicit references to TDM in paragraphs of the SPC, and four theory-guided items according to the information about ranges of plasma concentrations and a recommendation of TDM in the SPC. The catalogue is regarded as valid for t…

Drugmedicine.medical_specialtymedicine.diagnostic_testbusiness.industrymedia_common.quotation_subjectcomputer.software_genreTherapeutic drug monitoringPlasma concentrationmedicineMedical physicsData miningDrug reactionMedical prescriptionbusinesscomputerBreast feedingmedia_commonInternational Journal of Knowledge Discovery in Bioinformatics
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Evaluation of Internet Social Networks using Net scoring Tool: A Case Study in Adverse Drug Reaction Mining

2015

Suspected adverse drug reactions (ADR) reported by patients through social media can be a complementary tool to already existing ADRs signal detection processes. However, several studies have shown that the quality of medical information published online varies drastically whatever the health topic addressed. The aim of this study is to use an existing rating tool on a set of social network web sites in order to assess the capabilities of these tools to guide experts for selecting the most adapted social network web site to mine ADRs.First, we reviewed and rated 132 Internet forums and social networks according to three major criteria: the number of visits, the notoriety of the forum and th…

Drug-Related Side Effects and Adverse ReactionsPopulation SurveillanceAdverse Drug Reaction Reporting SystemsData MiningHumansReproducibility of Results[INFO]Computer Science [cs][INFO] Computer Science [cs]Sensitivity and SpecificitySocial MediaSoftware
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A novel methodology for accelerating bitstream relocation in partially reconfigurable systems

2012

International audience; Xilinx Virtex FPGAs offer the possibility of Partial Reconfiguration (PR). Arbitrary tasks can be allocated and de-allocated onto FPGA without system interruption. However, mapping a task to any available PR region requires a unique partial bitstream for each partition, hence reducing memory storage requirements. In recent years, an interest on overcoming this problem has lead to the concept of Partial Bitstream Relocation (PBR). The principle is to perform bitstream modification to map it to different regions. However, PBR consumes scarce resources in hardware implementations, and introduces a prohibitive time overhead when done in software. In order to find the bes…

Dynamic Partial ReconfigurationComputer Networks and CommunicationsComputer scienceBitstream Relocation02 engineering and technology01 natural sciencesSoftwareArtificial Intelligence0103 physical sciences0202 electrical engineering electronic engineering information engineering[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsBitstreamField-programmable gate arrayFPGA010302 applied physicsVirtexbusiness.industryControl reconfigurationPartition (database)020202 computer hardware & architecture[INFO.INFO-ES] Computer Science [cs]/Embedded SystemsHardware and ArchitectureEmbedded systemReconfigurable Computing[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsbusinessRelocationEmbedded SystemsSoftware
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