Search results for "ERROR"

showing 10 items of 1643 documents

Modelling safety climate in the prediction of levels of safety activity

1998

Abstract This study examined the architecture of the relationships between components of organizational safety climate, including employee attitudes to safety issues and perceptions of the work environment, and related this to self-reported levels of safety activity. Data were collected from a large multinational manufacturing organization by questionnaire. A total of 915 valid questionnaires were returned and formed the basis for structural equation modelling and subsequent analyses. These data showed that a common structure, or architecture, of attitudes to safety issues and perceptions of the work environment could be constructed that explained levels of safety activity. The strength of …

business.industryApplied psychologyHuman errorSocial environmentOrganisation climateStructural equation modelingOccupational safety and healthMultinational corporationOrganizational safetybusinessPsychologySocial psychologyApplied PsychologyRisk managementWork & Stress
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A concept for personal wellness management based on activity monitoring

2008

Lifestyle related health problems are increasing rapidly. Many of them could be prevented or alleviated by sufficient physical activity, enough sleep, and a balanced diet. Individual citizens have the main responsibility for their own health and wellness management in their daily lives. Motivational tools based on modern technologies can support people in this task. Vivago Personal Wellness Manager (PWM) is a concept for personal wellness management, based on continuous activity monitoring with a wrist-worn device combined with immediate feedback on daily activity, e.g., sleep and physical activity. The concept allows long-term monitoring of activity patterns and includes PC software for de…

business.industryApplied psychologyPhysical activityMean absolute errorHealthenhancing physical activityTask (project management)Activity monitoringHealth problemsEnergy expenditureWellness managementActivity monitoringHealth careEnergy expenditure estimationSleep (system call)businessPsychologySimulation
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Análisis tiempo-frecuencia de la fibrilación ventricular. Estudio experimental

2006

Introduction and objectives. The analysis of frequency variability during ventricular fibrillation has yielded inconsistent results. We used an experimental model of ventricular fibrillation, with a short timescale, to analyze variations in frequency and their associated spatial distribution. Methods. Epicardial recordings of ventricular fibrillation were made in 10 perfused isolated rabbit heart preparations using a multiple electrode system (i.e., 240 unipolar electrodes). Both spectral and time-frequency analysis were used to derive the dominant frequency in the anterolateral wall of the left ventricle. Results. Linear regression analysis showed that there was a good correlation between …

business.industryCoefficient of variationRabbit heartmedicine.diseaseFree wallmedicine.anatomical_structureNuclear magnetic resonanceStandard errorVentricleLinear regressionVentricular fibrillationmedicineSpectral analysisCardiology and Cardiovascular MedicinebusinessRevista Española de Cardiología
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Repair Mechanisms for Broadcast Transmissions in Hybrid Cellular & DVB-H Systems

2006

This paper proposes a framework for investigating potential infrastructure cost savings in hybrid cellular and DVB- H systems by performing efficient error repair of broadcast transmissions. The main idea is to reuse as much as possible the existing network infrastructure to provide mobile TV services. The cellular system is not only employed to collect information, but also to send repair data to the users whose conditions are temporarily affected by noise, interference and fading. To enable an easy and efficient implementation of the repair mechanisms we adopt the use of application layer - forward error correction (AL-FEC) with digital fountain coding.

business.industryComputer scienceDVB-HMobile televisionDigital Video BroadcastingFadingForward error correctionReusebusinessApplication layerComputer networkCoding (social sciences)2006 3rd International Symposium on Wireless Communication Systems
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Application Layer FEC for Mobile TV Delivery in IP Datacast Over DVB-H Systems

2009

In this paper we investigate the potential gain that can be obtained in DVB-H using application layer forward error correction (AL-FEC) to perform a multi-burst protection of the transmission for improving the reception of streaming services for mobile terminals. Compared to the conventional approach with link layer multi protocol encapsulation FEC (MPE-FEC), this technique allows to increase the robustness of the DVB-H transmission not only as a function of the capacity devoted for error repair (FEC overhead), but also as a function of the number of bursts jointly encoded. The main drawback of this approach is an increase of the network latency, that can be translated into a larger service…

business.industryComputer scienceDVB-HMobile televisionReal-time computingData_CODINGANDINFORMATIONTHEORYApplication layerlaw.inventionlawInternet ProtocolDigital Video BroadcastingMedia TechnologyLink layerForward error correctionElectrical and Electronic EngineeringbusinessAccess timeComputer networkIEEE Transactions on Broadcasting
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An Innovative Similarity Measure for Sentence Plagiarism Detection

2016

We propose and experimentally assess Semantic Word Error Rate (SWER), an innovative similarity measure for sentence plagiarism detection. SWER introduces a complex approach based on latent semantic analysis, which is capable of outperforming the accuracy of competitor methods in plagiarism detection. We provide principles and functionalities of SWER, and we complement our analytical contribution by means of a significant preliminary experimental analysis. Derived results are promising, and confirm to use the goodness of our proposal.

business.industryComputer scienceLatent semantic analysisPlagiarism DetectionComputer Science (all)Sentence similarity measureWord error rate02 engineering and technologySimilarity measurecomputer.software_genreComplement (complexity)Theoretical Computer SciencePlagiarism detection020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPlagiarism detectionArtificial intelligenceSentence Similarity MeasurebusinesscomputerNatural language processingSentencePlagiarism detection; Sentence similarity measure; Theoretical Computer Science; Computer Science (all)
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A Comparative Analysis of Multiple Biasing Techniques for $Q_{biased}$ Softmax Regression Algorithm

2021

Over the past many years the popularity of robotic workers has seen a tremendous surge. Several tasks which were previously considered insurmountable are able to be performed by robots efficiently, with much ease. This is mainly due to the advances made in the field of control systems and artificial intelligence in recent years. Lately, we have seen Reinforcement Learning (RL) capture the spotlight, in the field of robotics. Instead of explicitly specifying the solution of a particular task, RL enables the robot (agent) to explore its environment and through trial and error choose the appropriate response. In this paper, a comparative analysis of biasing techniques for the Q-biased softmax …

business.industryComputer scienceObstacle avoidanceSoftmax functionQ-learningRobotReinforcement learningMobile robotArtificial intelligencebusinessTrial and errorAction selection2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)
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Learning from Errors: Detecting ZigBee Interference in WiFi Networks

2014

In this work we show how to detect ZigBee interference on commodity WiFi cards by monitoring the reception errors, such as synchronization errors, invalid header formats, too long frames, etc., caused by ZigBee transmissions. Indeed, in presence of non-WiFi modulated signals, the occurrence of these types of errors follows statistics that can be easily recognized. Moreover, the duration of the error bursts depends on the transmission interval of the interference source, while the error spacing depends on the receiver implementation. On the basis of these considerations, we propose the adoption of hidden Markov chains for characterizing the behavior of WiFi receivers in presence of controlle…

business.industryComputer scienceSettore ING-INF/03 - TelecomunicazioniComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computingwlan 802.11 802.15.4 frame error detection wireless coexistenceInterval (mathematics)Interference (wave propagation)SynchronizationLearning from errorsTransmission (telecommunications)HeaderbusinessHidden Markov modelComputer networkNeuRFon
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Methods for optimal shape design of electrical devices

1996

Often the primary problem facing designers of structural systems is determining the shape of the structure. In spite of graphical work stations and modern software for analyzing the structure, finding the best geometry for the structure by “trial and error” is still a very tedious and timeconsuming task. The goal in optimal shape design (structural optimization, or redesign) is to computerize the design process and therefore shorten the time it takes to design new products or improve the existing design. Structural optimization is already used in many applications in industry. In general, however, structural optimization is just beginning to penetrate the industrial community. Integrating F…

business.industryComputer scienceStructural systemTopology optimizationCADTrial and errorcomputer.software_genreIndustrial engineeringSoftwareComputer Aided DesignbusinessEngineering design processcomputerSequential quadratic programming
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How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data

2020

This study examines how quickly we can predict users’ ratings on visual aesthetics in terms of simplicity, diversity, colorfulness, craftsmanship. To predict users’ ratings, first we capture gaze behavior while looking at high, neutral, and low visually appealing websites, followed by a survey regarding user perceptions on visual aesthetics towards the same websites. We conduct an experiment with 23 experienced users in online shopping, capture gaze behavior and through employing machine learning we examine how fast we can accurately predict their ratings. The findings show that after 25 s we can predict ratings with an error rate ranging from 9% to 11% depending on which facet of visual ae…

business.industryComputer sciencemedia_common.quotation_subject05 social sciencesColorfulness050301 educationWord error rateE-commerceMachine learningcomputer.software_genreGazePerception0502 economics and businessEye tracking050211 marketingSimplicityArtificial intelligencebusiness0503 educationcomputermedia_commonDiversity (business)
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