Search results for "software engineering"

showing 10 items of 1151 documents

Adaptive Vehicle Mode Monitoring Using Embedded Devices with Accelerometers

2012

Monitoring of specific attributes such as vehicle speed and fuel consumption as well as cargo safety is an important problem for transport domain. This task is performed using specific multiagent monitoring systems. To ensure secure operation of such systems they should have autonomous and adaptive behaviour.

Computer sciencebusiness.industryReal-time computingComputerApplications_COMPUTERSINOTHERSYSTEMSMonitoring systemAccelerometerDomain (software engineering)Task (project management)Mode (computer interface)Adaptive behaviourEmbedded systemFuel efficiencyAccelerometer databusiness
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Real Models are Really on M0 - Or How to Make Programmers Use Modeling

2020

This paper discusses the term ’model’ and the role of the level M0 in the four-layer metamodeling architecture of MOF/OMG. It illustrates the failures of the OMG MOF standard and how a model is an abstraction, not a description. We apply two simple approaches: (1) observing the use of models (of real or planned systems) in system development, including prototyping, simulations, and models in general, and (2) comparing modeling with programming. These approaches lead to the conclusion that models should be placed on M0, while UML models are model descriptions. This conclusion leads to a better understanding of InstanceSpecification for description of snapshots, and of metamodeling applied to…

Computer sciencebusiness.industrySoftware engineeringbusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Peer review
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A Sub-Symbolic Approach to Word Modelling for Domain Specific Speech Recognition

2006

In this work a sub-symbolic technique for automatic, data driven language models construction is presented. Such a technique can be used to arrange a language-modelling module, which can be easily integrated in existing speech recognition architectures, such as the well-found HTK architecture. The proposed technique takes advantages from both the traditional LSA approach and from a novel application of a probability space metric known as "Hellinger's distance". Experimental trials are also presented, in order to validate the proposed approach.

Computer sciencebusiness.industrySpeech recognitionMachine learningcomputer.software_genreDomain (software engineering)Speech enhancementMetric (mathematics)Artificial intelligenceLanguage modelHellinger distanceHidden Markov modelbusinesscomputerNatural languageWord (computer architecture)Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)
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Circuit simulators for circuit analysis in graduate engineering courses

2018

Circuit simulators are extensively used as an aid in many courses at the graduate level in many different engineering and applied sciences programs. SPICE (Simulation Program with Integrated Circuits Emphasis) based software programs have been used for long due to their traditional market position. If we focus on circuits analysis and linear systems subjects, the features that are required from a given simulator can be found in student/limited versions of commercial EDA (Electronic Design Automation) suites or in freeware/open source codes. In this contribution, we analyse and compare the most revelant characteristics of a representative set of the software packages that are commonly adopte…

Computer sciencebusiness.industryTeachingEducational systemsIntegrated circuitHigher Educationlaw.invention03 medical and health sciences0302 clinical medicineSoftwareFilter (video)lawLearningTransient (computer programming)Electronic design automation030212 general & internal medicineApplied scienceSoftware engineeringbusiness030217 neurology & neurosurgeryNetwork analysisElectronic circuit
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Machine Learning Techniques for Automatic Depression Assessment

2018

Depression is one of the most common mood disorder that is inherently related to emotions, involving bad mood, low self-esteem and loss of interest in normal pleasurable activities. The aim of this work is to develop a framework based on the dataset provided by AVEC'14 for depression assessment. The proposed work presents two different motion representation methods: a) Gabor Motion History Image (GMHI), and b) Motion History Image (MHI). Several combinations of appearance-based low level features are extracted from both motion representations. These features were further combined with statistically derived features, and used for training and testing with several machine learning techniques.…

Computer sciencebusiness.industryWork (physics)020207 software engineering02 engineering and technologyMachine learningcomputer.software_genreMotion (physics)Image (mathematics)Mood0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessRepresentation (mathematics)Affective computingF1 scorecomputer2018 41st International Conference on Telecommunications and Signal Processing (TSP)
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Interoperability of B2B Applications

2011

This paper presents a Web-based data integration methodology and tool framework, called X-TIME, for the development of Business-to-Business (B2B) design environments and applications. X-TIME provides a data model translator toolkit based on an extensible meta model and XML. It allows the creation of adaptable semantic-oriented meta models to support the design of wrappers or reconciliators (mediators), taking into account characteristics of interoperable information systems, such as extensibility and composability. X-TIME defines a set of meta types which correspond to g meta level semantic descriptors of data models found in the Web. The meta types are organized in a generalization hierarc…

Computer sciencebusiness.industrycomputer.internet_protocol05 social sciencesInteroperabilityBusiness-to-business050905 science studies0502 economics and businessSystem integration0509 other social sciencesbusinessSoftware engineeringcomputer050203 business & managementXML
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Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks

2018

International audience; In Body Sensor Networks (BSNs), two types of events should be addressed: periodic and emergency events. Traffic rate is usually low during periodic observation, and becomes very high upon emergency. One of the main and challenging requirements of BSNs is to design Medium Access Control (MAC) protocols that guarantee immediate and reliable transmission of data in emergency situations, while maintaining high energy efficiency in non-emergency conditions. In this paper, we propose a new emergency aware hybrid DTDMA/DS-CDMA protocol that can accommodate BSN traffic variations by addressing emergency and periodic traffic requirements. It takes advantage of the high delay …

Computer sciencedelayAccess control02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]DTDMAlcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistry[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingBSN[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]energy consumption0202 electrical engineering electronic engineering information engineeringWirelesslcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationMACbusiness.industryNetwork packet010401 analytical chemistryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsEnergy consumption[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationAtomic and Molecular Physics and Optics0104 chemical sciences[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]packet drop[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkEfficient energy useComputer networkDS-CDMAOPNETSensors
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Automated Uncertainty Quantification Through Information Fusion in Manufacturing Processes

2017

International audience; Evaluation of key performance indicators (KPIs) such as energy consumption is essential for decision-making during the design and operation of smart manufacturing systems. The measurements of KPIs are strongly affected by several uncertainty sources such as input material uncertainty, the inherent variability in the manufacturing process, model uncertainty, and the uncertainty in the sensor measurements of operational data. A comprehensive understanding of the uncertainty sources and their effect on the KPIs is required to make the manufacturing processes more efficient. Towards this objective, this paper proposed an automated methodology to generate a hierarchical B…

Computer scienceinjection molding02 engineering and technologycomputer.software_genreIndustrial and Manufacturing Engineering[SPI]Engineering Sciences [physics]GME0202 electrical engineering electronic engineering information engineeringUncertainty quantificationuncertaintyautomationhierarchicalbusiness.industryBayesian network020207 software engineeringmeta-modelAutomationComputer Science ApplicationsMetamodelingInformation fusionBayesian networkControl and Systems Engineeringsemantic020201 artificial intelligence & image processingData miningbusinesscomputer
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Knowledge-based verification of concatenative programming patterns inspired by natural language for resource-constrained embedded devices

2020

We propose a methodology to verify applications developed following programming patterns inspired by natural language that interact with physical environments and run on resource-constrained interconnected devices. Natural language patterns allow for the reduction of intermediate abstraction layers to map physical domain concepts into executable code avoiding the recourse to ontologies, which would need to be shared, kept up to date, and synchronized across a set of devices. Moreover, the computational paradigm we use for effective distributed execution of symbolic code on resource-constrained devices encourages the adoption of such patterns. The methodology is supported by a rule-based sys…

Computer scienceinternet of thing02 engineering and technologycomputer.software_genrelcsh:Chemical technologyBiochemistryOracleArticleAnalytical ChemistryDomain (software engineering)Softwarewireless sensor network0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic Engineeringdistributed programmingwireless sensor networksEmbedded systemInstrumentationAbstraction (linguistics)concatenative languagessymbolic programmingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSymbolic programmingProgramming languagebusiness.industryRuntime verification020206 networking & telecommunications020207 software engineeringcomputer.file_formatforthinternet of thingsAtomic and Molecular Physics and Opticsconcatenative languageProgramming patternsembedded systemsExecutablebusinesscomputerNatural language
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Mesh Visual Quality Assessment Metrics: A Comparison Study

2017

3D graphics technologies have known a developed progress in the last years, and several processing operations can be applied on 3D meshes such as watermarking, compression, simplification and so forth. Mesh visual quality assessment becomes an important issue to evaluate the visual appearance of the 3D shape after specific modifications. Several metrics have been proposed in this context, from the classical distance-based metrics to the perceptual-based metrics which include perceptual information about the human visual system. In this paper, we propose to study the performance of several mesh visual quality metrics. First, the comparison is conducted regardless the distortion types neither…

Computer sciencemedia_common.quotation_subject020207 software engineeringContext (language use)02 engineering and technologycomputer.software_genreVisual appearanceVisualizationMetric (mathematics)Human visual system model0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingQuality (business)Polygon meshData miningcomputer3D computer graphicsmedia_common2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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