Search results for "Cryptography"

showing 10 items of 657 documents

A unified observer for robust sensorless control of DC–DC converters

2017

Abstract Due to the large variety of converters' configurations, many different sensorless controllers are available in the literature, each one suited for a particular converter. The need for different configurations, especially on the same power supply, make it clear the advantage of having a shared control algorithm. This paper presents a unified nonlinear robust current observer for buck, boost and buck–boost converters in synchronous and asynchronous configurations. The unified observer speeds up the design, tuning and the implementation, and requires a memory cheaper code, easier to certify. Simulation and experimental results are presented to validate the approach in different scenar…

0209 industrial biotechnologyEngineeringObserver (quantum physics)Control (management)Robust control02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciAsynchronous converters020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringCode (cryptography)Electrical and Electronic Engineeringbusiness.industryApplied Mathematics020208 electrical & electronic engineeringSynchronous convertersControl engineeringConvertersSensorless controlComputer Science ApplicationsPower (physics)Current mode controlNonlinear systemNonlinear observerControl and Systems EngineeringAsynchronous communicationRobust controlbusinessDC–DC converters
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On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion

2020

We present a heuristic procedure for determining key processing parameters (PPs) in materials-extrusion-based additive manufacturing processes. The concept relies on a design-of-experiment approach and consists of eleven &ldquo

0209 industrial biotechnologyFDMPolymers and PlasticsComputer sciencemedia_common.quotation_subjectdesign of experiment3D printingmaterials extrusion02 engineering and technologyRaw materialArticlelcsh:QD241-441020901 industrial engineering & automationlcsh:Organic chemistryCalibration:NATURAL SCIENCES:Physics [Research Subject Categories]Quality (business)Layer (object-oriented design)Process engineeringmedia_commonbusiness.industryDesign of experimentsprocess parametersGeneral Chemistry3D printing021001 nanoscience & nanotechnologyKey (cryptography)Extrusion0210 nano-technologybusinessoptimizationPolymers
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Reliable diagnostics using wireless sensor networks

2019

International audience; Monitoring activities in industry may require the use of wireless sensor networks, for instance due to difficult access or hostile environment. But it is well known that this type of networks has various limitations like the amount of disposable energy. Indeed, once a sensor node exhausts its resources, it will be dropped from the network, stopping so to forward information about maybe relevant features towards the sink. This will result in broken links and data loss which impacts the diagnostic accuracy at the sink level. It is therefore important to keep the network's monitoring service as long as possible by preserving the energy held by the nodes. As packet trans…

0209 industrial biotechnologyGeneral Computer ScienceComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologyData loss[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Network topology[SPI.AUTO]Engineering Sciences [physics]/Automatic[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingPrognostics and health management[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringAdaBoostElectroniquebusiness.industryNetwork packetGeneral Engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationWireless sensor networksRandom forest[SPI.TRON]Engineering Sciences [physics]/Electronics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Sensor node020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Gradient boosting[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkComputer networkComputers in Industry
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Human Systems Design: Towards an Integrative Conceptual Framework

2020

International audience; Conceiving artefacts and tools is one of the major key characteristics of the human species. Since the beginning of automation and even more since the spreading of computer science, this activity has become more and more challenging especially through the analysis of the different interaction modes between the artifacts and the human. Nowadays, developing an artifact that must interact with a human is requiring an integrative point of view which must include biological, physical and cybernetical concerns. The current norms aimed at characterizing the quality and the relevance of human machine interface are generally limited to standard interfaces and/or to specific d…

0209 industrial biotechnologyHuman systems engineeringInteractionComputer sciencemedia_common.quotation_subjectIntegration02 engineering and technologyArtifact (software development)EpistemologyDomain (software engineering)Human-systems03 medical and health sciences020901 industrial engineering & automation0302 clinical medicineConceptual frameworkQuality (business)Relevance (information retrieval)media_commonbusiness.industryData scienceAutomationConceptual framework030220 oncology & carcinogenesis[SCCO.PSYC]Cognitive science/Psychology[SCCO.PSYC] Cognitive science/PsychologyKey (cryptography)Ergonomic criteriabusiness
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Sampled Fictitious Play on Networks

2019

We formulate and solve the problem of optimizing the structure of an information propagation network between multiple agents. In a given space of interests (e.g., information on certain targets), each agent is defined by a vector of their desirable information, called filter, and a vector of available information, called source. The agents seek to build a directed network that maximizes the value of the desirable source-information that reaches each agent having been filtered en route, less the expense that each agent incurs in filtering any information of no interest to them. We frame this optimization problem as a game of common interest, where the Nash equilibria can be attained as limit…

0209 industrial biotechnologyMathematical optimization021103 operations researchOptimization problemComputer scienceNode (networking)Frame (networking)0211 other engineering and technologies02 engineering and technologyFilter (signal processing)Fictitious playsymbols.namesake020901 industrial engineering & automationNash equilibriumLimit pointKey (cryptography)symbols
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The Integration of the Supply Chain as a Dynamic Capability for Sustainability: The Case of an Innovative Organic Company

2018

Numerous research projects have demonstrated that a firm’s ability to integrate, build, and reconfigure internal and external competencies to adapt to changes in its environment is a key capability for its competitiveness. However, in the case of developing the capabilities needed to implement innovation, we have found that the ability to integrate knowledge into the supply chain is also crucial since it is an essential requirement for bringing in technological change and product innovation. The purpose of this chapter is to understand the role of supplier integration in the implementation of radical innovation. First, we propose a theoretical model to connect supplier integration as a dyna…

021103 operations researchProcess managementProduct innovationTechnological changeSupply chain05 social sciences0211 other engineering and technologies02 engineering and technologyOrder (exchange)General partnership0502 economics and businessSustainabilityKey (cryptography)BusinessDynamic capabilities050203 business & management
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Analyzing Cascading Effects in Interdependent Critical Infrastructures

2018

International audience; Critical Infrastructures (CIs) are resources that are essential for the performance of society, including its economy and its security. Large-scale disasters, whether natural or man-made, can have devastating primary (direct) effects on some CI and significant indirect effects (cascading effects) on other CIs, because CIs are interconnected and depend on each other’s services. Recent work by Laugé et al. expressed the dependency values among CIs as dependency matrices for various durations of the primary CI failure. For better preparedness and mitigation of CI failures knowledge of the weak points in CI interdependencies is crucial. To this effect, we have developed …

021110 strategic defence & security studiesDependency (UML)Computer sciencemedia_common.quotation_subjectPath dependency0211 other engineering and technologiesParallel loops effectCascading effects021107 urban & regional planning02 engineering and technologyInterdependenceRisk analysis (engineering)Loop dependencyExpert assessmentCode (cryptography)[INFO]Computer Science [cs]Cascading effectsParallel forward paths effectInterdependent CIsmedia_common
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Ensuring the Reliability of an Autonomous Vehicle

2017

International audience; In automotive applications, several components, offering different services, can be composed in order to handle one specific task (autonomous driving for example). Nevertheless, component composition is not straightforward and is subject to the occurrence ofbugs resulting from components or services incompatibilities for instance. Hence, bugs detection in component-based systems at thedesign level is very important, particularly, when the developed system concerns automotive applications supporting critical services.In this paper, we propose a formal approach for modeling and verifying the reliability of an autonomous vehicle system, communicatingcontinuously with of…

021110 strategic defence & security studiesFocus (computing)021103 operations researchComputer sciencebusiness.industryDistributed computingReliability (computer networking)0211 other engineering and technologiesAutomotive industry[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationTask (project management)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Systems Modeling LanguageComponent (UML)Systems architectureTime constraint[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessProceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems
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Disease–Genes Must Guide Data Source Integration in the Gene Prioritization Process

2019

One of the main issues in detecting the genes involved in the etiology of genetic human diseases is the integration of different types of available functional relationships between genes. Numerous approaches exploited the complementary evidence coded in heterogeneous sources of data to prioritize disease-genes, such as functional profiles or expression quantitative trait loci, but none of them to our knowledge posed the scarcity of known disease-genes as a feature of their integration methodology. Nevertheless, in contexts where data are unbalanced, that is, where one class is largely under-represented, imbalance-unaware approaches may suffer a strong decrease in performance. We claim that …

0301 basic medicineClass (computer programming)Boosting (machine learning)Computer scienceProcess (engineering)media_common.quotation_subjectComputational biologyScarcity03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyExpression quantitative trait lociKey (cryptography)Feature (machine learning)Gene prioritizationmedia_common
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SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences

2019

International audience; This paper presents SpCLUST, a new C++ package that takes a list of sequences as input, aligns them with MUSCLE, computes their similarity matrix in parallel and then performs the clustering. SpCLUST extends a previously released software by integrating additional scoring matrices which enables it to cover the clustering of amino-acid sequences. The similarity matrix is now computed in parallel according to the master/slave distributed architecture, using MPI. Performance analysis, realized on two real datasets of 100 nucleotide sequences and 1049 amino-acids ones, show that the resulting library substantially outperforms the original Python package. The proposed pac…

0301 basic medicineComputer science[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE]Health Informatics[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]0302 clinical medicineSoftware[INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Cluster AnalysisHumansCluster analysis[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]computer.programming_languagebusiness.industry[INFO.INFO-IU] Computer Science [cs]/Ubiquitous ComputingSimilarity matrixPattern recognitionDNAGenomicsSequence Analysis DNAPython (programming language)Mixture model[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSpectral clusteringComputer Science Applications030104 developmental biologyComputingMethodologies_PATTERNRECOGNITION[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial intelligence[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerAlgorithmsSoftware030217 neurology & neurosurgery
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