Search results for "Identification"

showing 10 items of 1600 documents

Searching for a Common Language

2010

Perhaps you remember Steven Spielberg’s movie released in 1977, Close Encounters of the Third Kind. The memorable end of this movie shows how humans might communicate with extraterrestrials through the interchange of music, with the famous melody “D E C C G” that we all hummed.

CommunicationHistoryUniversal Networking LanguageLanguage identificationbiologybusiness.industryHowler monkeybiology.organism_classificationbusinessVocal tract
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The effect of texture on face identification and configural information processing

2014

Shape and texture are an integral part of face identity. In the present study, the importance of face texture for face identification and detection of configural manipulation (i.e., spatial relation among facial features) was examined by comparing grayscale face photographs (i.e., real faces) and line drawings of the same faces. Whereas real faces provide information about texture and shape of faces, line drawings are lacking texture cues. A change-detection task and a forced-choice identification task were used with both stimuli categories. Within the change detection task, participants had to decide whether the size of the eyes of two sequentially presented faces had changed or not. After…

Communicationbusiness.industryOrientation (computer vision)lcsh:BF1-990ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInformation processingContext (language use)Pattern recognitionshapeTexture (music)lcsh:PsychologyFace perceptionFace (geometry)face perceptionface identificationArtificial intelligenceFace detectionPsychologybusinesstextureGeneral PsychologyChange detectionPsihologija
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Towards next generation diagnostics for tuberculosis: identification of novel molecular targets by large-scale comparative genomics

2019

AbstractTuberculosis remains one of the main causes of death worldwide. The long and cumbersome process of culturingMycobacterium tuberculosiscomplex (MTBC) bacteria has encouraged the development of specific molecular tools for detecting the pathogen. Most of these tools aim to become novel tuberculosis diagnostics, and big efforts and resources are invested in their development, looking for the endorsement of the main public health agencies. Surprisingly, no study had been conducted where the vast amount of genomic data available is used to identify the best MTBC diagnostic markers. In this work, we use large-scale comparative genomics to provide a catalog of 30 characterized loci that ar…

Comparative genomics0303 health sciencesTuberculosis030306 microbiologyGenomic dataDiagnostic markerComputational biologyBiologybiology.organism_classificationmedicine.disease3. Good health03 medical and health sciencesMycobacterium tuberculosis complexTuberculosis diagnosticsMolecular targetsmedicineIdentification (biology)030304 developmental biology
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Representação visual de custos no processo produtivo: estudo de caso em uma indústria calçadista de Portugal

2015

Ao longo das últimas décadas, os sistemas convencionais de produção passaram por mudanças diante da intensificação da competitividade entre empresas. As ocorrências dessas mudanças impulsionaram o desenvolvimento de ferramentas de auxílio à tomada de decisão para sistemas produtivos, no entanto, a maioria destes instrumentos não permite a visualização dos custos envolvidos ao longo das operações industriais. O presente estudo realiza a integração do Waste Identification Diagrams (WID), atual ferramenta para visualização e análise de processos produtivos, em conjunto com Time-Driven Activity-Based Costing (TDABC), ferramenta de gestão estratégica de custos, e procura criar um modelo que visu…

Competition (economics)EngineeringIdentification (information)Process managementbusiness.industryProduction (economics)Management modelOperations managementStrategic managementGeneral MedicinebusinessActivity-based costingVisualizationRevista Produção Online
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Traditional Chinese medicines (TCMs) for molecular targeted therapies of tumours.

2009

Scientific progress in genetics, cell and molecular biology has greatly ameliorated our comprehensive understanding of the molecular mechanisms of neoplastic transformation and progression. The rapidly advancing identification of molecular targets in human cancers during the last decade has provided an excellent starting point for the development of novel therapeutics. A huge variety of potential molecular targets have been identified, many of which are already in the market for therapeutic purposes. It is now becoming possible to target pathways and/or molecules that are crucial in maintaining the malignant phenotype. Traditional Chinese medicine (TCM) is often considered as alternative or…

Complementary TherapiesModern medicineCurcuminBerberineArtesunateMolecular Targeted TherapiesTraditional Chinese medicineComputational biologyPharmacologyModels BiologicalArsenicalsScientific evidenceDrug Delivery SystemsArsenic TrioxideNeoplasmsDrug DiscoveryMedicineAnimalsHumansNeoplastic transformationMedicine Chinese TraditionalMalignant phenotypeBiological ProductsScientific progressbusiness.industryOxidesAntineoplastic Agents PhytogenicArtemisininsCantharidinIdentification (biology)Drug Screening Assays AntitumorbusinessDrugs Chinese HerbalCurrent drug discovery technologies
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An Innovative Ambient Identification Method

2020

Ambient modal identification, also known as Operational Modal Analysis (OMA), aims to identify the modal properties of a structure based on vibration data collected when the structure is under its operating conditions, i.e., no initial excitation or known artificial excitation. This procedure for testing and/or monitoring historic buildings, is particularly attractive for civil engineers concerned with the safety of complex historic structures. However, since the external force is not recorded, the identification methods have to be more sophisticated and based on stochastic mechanics. In this context, this contribution will introduce an innovative ambient identification method based on appl…

Complex representationComputer scienceControl engineeringContext (language use)Operational Modal Analysis Hilbert Transform Analytical.Identification (information)Operational Modal Analysissymbols.namesakeModalsymbolsHilbert transformTime domainSettore ICAR/08 - Scienza Delle CostruzioniRepresentation (mathematics)
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An automatic L1-based regularization method for the analysis of FFC dispersion profiles with quadrupolar peaks

2023

Fast Field-Cycling Nuclear Magnetic Resonance relaxometry is a non-destructive technique to investigate molecular dynamics and structure of systems having a wide range of ap- plications such as environment, biology, and food. Besides a considerable amount of liter- ature about modeling and application of such technique in specific areas, an algorithmic approach to the related parameter identification problem is still lacking. We believe that a robust algorithmic approach will allow a unified treatment of different samples in several application areas. In this paper, we model the parameters identification problem as a con- strained L 1 -regularized non-linear least squares problem. Following…

Computational Mathematicsparameter identificationSettore MAT/08 - Analisi NumericaFast Field Cycling NMR relaxationSettore ING-IND/30 - Idrocarburi E Fluidi Del SottosuoloApplied MathematicsFree-modelSettore AGR/13 - Chimica Agrarianon-linear Gauss-Seidel methodquadrupole relaxation enhancementL 1 regularizationSettore CHIM/06 - Chimica OrganicaSettore CHIM/02 - Chimica Fisica
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RNN- and LSTM-Based Soft Sensors Transferability for an Industrial Process

2021

The design and application of Soft Sensors (SSs) in the process industry is a growing research field, which needs to mediate problems of model accuracy with data availability and computational complexity. Black-box machine learning (ML) methods are often used as an efficient tool to implement SSs. Many efforts are, however, required to properly select input variables, model class, model order and the needed hyperparameters. The aim of this work was to investigate the possibility to transfer the knowledge acquired in the design of a SS for a given process to a similar one. This has been approached as a transfer learning problem from a source to a target domain. The implementation of a transf…

Computational complexity theoryProcess (engineering)Computer sciencesulfur recovery unit02 engineering and technologytransfer learningMachine learningcomputer.software_genrelcsh:Chemical technologyBiochemistryRNNField (computer science)ArticleAnalytical ChemistryDomain (software engineering)0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationsystem identificationHyperparameterbusiness.industry020208 electrical & electronic engineeringdynamical modelsSystem identificationAtomic and Molecular Physics and OpticsNonlinear systemRecurrent neural networksoft sensors020201 artificial intelligence & image processingArtificial intelligenceTransfer of learningbusinessLSTMcomputerDynamical models; LSTM; RNN; Soft sensors; Sulfur recovery unit; System identification; Transfer learningSensors
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Detecting Emotions in Comments on Forums

2014

The paper presents one of the most important issues in Natural Language Processing (NLP), emotion identification and classification to implement a computational technology based on existing resources, open-source or freely available for research purposes. Furthermore, we are interested to use it for establishing Gold standards in sentiment analysis area, such as SentiWordNet. In this sense, we propose to recognize and classify the emotions (sentiments) of the public consumer from the written texts which appeared on the various Forums. We analyse the writing style which refers to how consumers construct sentences together when they write comments to indicate their passion about an entity (pe…

Computer Networks and Communicationsbusiness.industryRomanianmedia_common.quotation_subjectPerspective (graphical)Sentiment analysisEmotion identificationPassionPublic relationslanguage.human_languageField (computer science)Computer Science ApplicationsComputational Theory and MathematicslanguageNatural (music)SociologyArtificial intelligencebusinessConstruct (philosophy)media_commonInternational Journal of Computers Communications & Control
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Upport vector machines for nonlinear kernel ARMA system identification.

2006

Nonlinear system identification based on support vector machines (SVM) has been usually addressed by means of the standard SVM regression (SVR), which can be seen as an implicit nonlinear autoregressive and moving average (ARMA) model in some reproducing kernel Hilbert space (RKHS). The proposal of this letter is twofold. First, the explicit consideration of an ARMA model in an RKHS (SVM-ARMA 2k) is proposed. We show that stating the ARMA equations in an RKHS leads to solving the regularized normal equations in that RKHS, in terms of the autocorrelation and cross correlation of the (nonlinearly) transformed input and output discrete time processes. Second, a general class of SVM-based syste…

Computer Science::Machine LearningStatistics::TheoryComputer Networks and CommunicationsBiomedical signal processingInformation Storage and RetrievalMachine learningcomputer.software_genrePattern Recognition AutomatedStatistics::Machine LearningArtificial IntelligenceApplied mathematicsStatistics::MethodologyAutoregressive–moving-average modelComputer SimulationMathematicsTelecomunicacionesHardware_MEMORYSTRUCTURESSupport vector machinesModels StatisticalNonlinear system identificationbusiness.industryAutocorrelationSystem identificationSignal Processing Computer-AssistedGeneral MedicineComputer Science ApplicationsSupport vector machineNonlinear systemKernelAutoregressive modelNonlinear DynamicsARMA modelling3325 Tecnología de las TelecomunicacionesArtificial intelligenceNeural Networks ComputerbusinesscomputerSoftwareAlgorithmsReproducing kernel Hilbert spaceIEEE transactions on neural networks
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