Search results for "Benchmark"

showing 10 items of 310 documents

A set of indices to assess the real performance of daylight-linked control systems

2017

Abstract The installation of Building Automation Control Systems (BACs) in general is an effective action to achieve relevant energy savings. Commercial BACs, installed in residential or small offices, often include functions of lighting control, acting as Daylight-Linked Control Systems (DLCSs). Nevertheless, because system performance is strictly dependent on different parameters, BAC’s hardware and software configuration and as well as an inaccurate commissioning do not always allow a perfect execution of the desired tasks; therefore, the system could not work as expected. Moreover, it is well known that energy saving potential is specifically related to the variability of the light envi…

Engineering020209 energyControl (management)Real-time computing0211 other engineering and technologiesBuilding automation02 engineering and technologySet (abstract data type)021105 building & construction0202 electrical engineering electronic engineering information engineeringDaylightElectrical and Electronic EngineeringCivil and Structural EngineeringSoftware configuration managementBuilding automationSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryMechanical EngineeringLighting designBuilding and ConstructionEnergy consumptionDaylight Daylight-linked control systemReliability engineeringSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaControl systemBenchmark (computing)business
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Approximate treatment of higher excitations in coupled-cluster theory.

2005

The possibilities for the approximate treatment of higher excitations in coupled-cluster (CC) theory are discussed. Potential routes for the generalization of corresponding approximations to lower-level CC methods are analyzed for higher excitations. A general string-based algorithm is presented for the evaluation of the special contractions appearing in the equations specific to those approximate CC models. It is demonstrated that several iterative and noniterative approximations to higher excitations can be efficiently implemented with the aid of our algorithm and that the coding effort is mostly reduced to the generation of the corresponding formulas. The performance of the proposed and …

PhysicsCoupled clusterGeneralizationExcited stateBenchmark (computing)General Physics and AstronomyStatistical physicsPhysical and Theoretical ChemistryMolecular systemsAtomic physicsString (physics)The Journal of chemical physics
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[Appropriate cytotoxic drug usages in solid tumors: conformity to official labelling and level of scientific evidence]

2006

International audience; The definition of appropriate use of drugs is questioned in oncology. Daily therapeutic practices were compared to official labelling and to published scientific data in this retrospective study. It was carried out in two respective specialised centers, from January to September 2004. All chemotherapies administered for adult solid tumours and including one of the eleven studied drugs were evaluated. The analysis of use was performed by drug : conformity to the validated labelling and level of scientific evidence (at the period study). The study included 1,561 drug uses in 1,211 patients. The overall rate of conformity to official labelling was 81.7 % (67.1 % of stri…

AdultMaleAdolescentMESH : Retrospective StudiesMESH : MaleMESH: Drug LabelingMESH : AgedAntineoplastic Agents[SDV.CAN]Life Sciences [q-bio]/Cancer[ SDV.CAN ] Life Sciences [q-bio]/CancerMESH : BenchmarkingMESH : Drug LabelingMESH: Aged 80 and overMESH: Practice Guidelines as TopicMESH: Benchmarking[SDV.CAN] Life Sciences [q-bio]/CancerNeoplasmsMESH : AdolescentHumansMESH: NeoplasmsMESH : Middle AgedMESH : FemaleMESH : Aged 80 and overAgedDrug LabelingRetrospective StudiesAged 80 and overMESH: AdolescentMESH: AgedMESH: HumansMESH: Middle AgedMESH : HumansMESH: AdultMESH: Retrospective StudiesMiddle AgedMESH : AdultMESH : NeoplasmsMESH: MaleBenchmarkingMESH : Practice Guidelines as TopicMESH : Antineoplastic AgentsPractice Guidelines as TopicMESH: Antineoplastic AgentsFemaleMESH: Female
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The Conceptualisation and Measurement of Mega Sport Event Legacies

2007

This paper focuses on the legacy of mega sport events. First, the concept of legacy is defined before the problems of measuring and forecasting legacy are discussed. Benchmarking and the use of macro data do not correctly reveal legacy. Hence a bottom-up approach is introduced which identifies the event legacy by evaluation of ‘soft’ and ‘hard’ event-related changes in a host city. These changes are defined as ‘event-structures’ (infrastructure, knowledge, image, emotions, networks, culture). Many of them change the quality of location factors of the host city in the long-term. The benefits/costs through the transformation of the host city are the legacy of a mega sport event. Here a partic…

Event (computing)Tourism Leisure and Hospitality Managementmedia_common.quotation_subjectQuality (business)BenchmarkingEconomic impact analysisSociologyMacroMega-Host (network)Data scienceTourismmedia_commonJournal of Sport & Tourism
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Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics

2015

In the framework of information dynamics, the temporal evolution of coupled systems can be studied by decomposing the predictive information about an assigned target system into amounts quantifying the information stored inside the system and the information transferred to it. While information storage and transfer are computed through the known self-entropy (SE) and transfer entropy (TE), an alternative decomposition evidences the so-called cross entropy (CE) and conditional SE (cSE), quantifying the cross information and internal information of the target system, respectively. This study presents a thorough evaluation of SE, TE, CE and cSE as quantities related to the causal statistical s…

causalityInformation dynamicsTransfer entropyDynamical systems theoryComputationGeneral Physics and Astronomylcsh:AstrophysicsBivariate analysisMultivariate autoregressive processeMachine learningcomputer.software_genreMultivariate autoregressive processesCardiorespiratory interactionsPhysics and Astronomy (all)Systems theoryDynamical systemslcsh:QB460-466Decomposition (computer science)Statistical physicslcsh:ScienceCardiorespiratory interactions; Causality; Dynamical systems; Heart rate variability; Information dynamics; Multivariate autoregressive processes; Transfer entropyHeart rate variabilityMathematicsCardiorespiratory interactions; Causality; Dynamical systems; Heart rate variability; Information dynamics; Multivariate autoregressive processes; Transfer entropy; Physics and Astronomy (all)business.industryCardiorespiratory interactionheart rate variabilitytransfer entropyDynamical systemcardiorespiratory interactionsdynamical systemslcsh:QC1-999CausalityInformation dynamicCross entropySettore ING-INF/06 - Bioingegneria Elettronica E Informaticamultivariate autoregressive processesBenchmark (computing)lcsh:QTransfer entropyArtificial intelligenceinformation dynamicsbusinesscomputerlcsh:PhysicsEntropy
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Boosting Design Space Explorations with Existing or Automatically Learned Knowledge

2012

During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with heuristic algorithms are a helpful approach to find the best settings for these parameters according to multiple objectives, e.g. performance, energy consumption, or real-time constraints. But if the setup is slightly changed and a new DSE has to be performed, it will start from scratch, resulting in very long evaluation times. To reduce the evaluation times we extend the NSGA-II algorithm in this article, such that automatic DSEs can be supported with a set of transformation rules defined in a highly readable format, the fuz…

Boosting (machine learning)Fuzzy ruleFuzzy Control LanguageComputer scienceDecision treeBenchmarkingData miningEnergy consumptionGridcomputer.software_genreMulti-objective optimizationcomputercomputer.programming_language
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Analysis of the Motor Vehicles Manufacturing Sector in Cataluña: Implementation with Radar Charts

2013

The representation of the average periods of maturation in the axes of a radial chart allows us to know the financial position reached by companies at the end of an economic year or in a certain period. The angular indicators obtained from the application of the cosine and sine theorems, according to plane geometry principles verify the deduction obtained from the observation of the radial chart and establish whether the result of each management areas displayed offers liquidez to the developed trading activity, or it is the financial positions regardless trading activity the ones which verifies the displayed financial position in the radial chart. The indicated ratio explains why companies…

EngineeringOperations researchbusiness.industryContrast (statistics)BenchmarkingChartSecondary sector of the economyRadar chartPosition (finance)media_common.cataloged_instanceEuropean unionbusinessRepresentation (mathematics)media_commonSSRN Electronic Journal
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Benchmarking Wilms’ tumor in multisequence MRI data: why does current clinical practice fail? Which popular segmentation algorithms perform well?

2019

Wilms' tumor is one of the most frequent malignant solid tumors in childhood. Accurate segmentation of tumor tissue is a key step during therapy and treatment planning. Since it is difficult to obtain a comprehensive set of tumor data of children, there is no benchmark so far allowing evaluation of the quality of human or computer-based segmentations. The contributions in our paper are threefold: (i) we present the first heterogeneous Wilms' tumor benchmark data set. It contains multisequence MRI data sets before and after chemotherapy, along with ground truth annotation, approximated based on the consensus of five human experts. (ii) We analyze human expert annotations and interrater varia…

Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION610 Medicine & healthMachine learningcomputer.software_genre030218 nuclear medicine & medical imagingSet (abstract data type)03 medical and health sciences0302 clinical medicineMedical imagingMedicineRadiology Nuclear Medicine and imagingSegmentationRadiation treatment planningbusiness.industry10042 Clinic for Diagnostic and Interventional RadiologyWilms' tumorBenchmarkingImage segmentationmedicine.disease3. Good healthComputingMethodologies_PATTERNRECOGNITION030220 oncology & carcinogenesisBenchmark (computing)Artificial intelligencebusinesscomputerJournal of Medical Imaging
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Benchmarking open data efforts through indices and rankings: Assessing development and contexts of use

2022

Abstract This paper aims to provide a broad perspective on the development of benchmarking open data efforts through indices and rankings over the years, both at the level of countries and allowing for a cross-country comparison. The methodology follows a systematic search for the relevant resources, their classification and identification of six open data benchmarks to be further analyzed, the identification of their key components through decomposition, their description, and identifying the similarities and differences. Three major groups of indices and four periods that characterize the efforts to benchmark and measure the development of open data are identified, where the first measure…

Identification (information)Measure (data warehouse)Open dataIndex (economics)Computer Networks and CommunicationsComputer scienceBenchmark (surveying)Rank (computer programming)Openness to experienceBenchmarkingElectrical and Electronic EngineeringData scienceTelematics and Informatics
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A novel method for network intrusion detection based on nonlinear SNE and SVM

2017

In the case of network intrusion detection data, pre-processing techniques have been extensively used to enhance the accuracy of the model. An ideal intrusion detection system (IDS) is one that has appreciable detection capability overall the group of attacks. An open research problem of this area is the lower detection rate for less frequent attacks, which result from the curse of dimensionality and imbalanced class distribution of the benchmark datasets. This work attempts to minimise the effects of imbalanced class distribution by applying random under-sampling of the majority classes and SMOTE-based oversampling of minority classes. In order to alleviate the issue arising from the curse…

business.industryComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingDimensionality reductionFeature vectorPattern recognitionGeneral MedicineIntrusion detection systemSupport vector machineBenchmark (computing)EmbeddingRadial basis functionArtificial intelligencebusinessCurse of dimensionality
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