Search results for "Ieva"

showing 10 items of 2984 documents

Moderated Redactable Blockchains: A Definitional Framework with an Efficient Construct

2020

Blockchain is a multiparty protocol to reach agreement on the order of events, and to record them consistently and immutably without centralized trust. In some cases, however, the blockchain can benefit from some controlled mutability. Examples include removing private information or unlawful content, and correcting protocol vulnerabilities which would otherwise require a hard fork. Two approaches to control the mutability are: moderation, where one or more designated administrators can use their private keys to approve a redaction, and voting, where miners can vote to endorse a suggested redaction. In this paper, we first present several attacks against existing redactable blockchain solut…

020203 distributed computingComputer sciencemedia_common.quotation_subject02 engineering and technologyConstruct (python library)RedactionComputer securitycomputer.software_genreDigital signatureOrder (exchange)020204 information systemsVoting0202 electrical engineering electronic engineering information engineeringFork (file system)Protocol (object-oriented programming)computerPrivate information retrievalmedia_common
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Security and Privacy in Wireless IoT

2018

The 13 articles in this special section focus on security and privacy in wireless Internet of Things (IoT). IoT is a paradigm that involves networked physical objects with embedded technologies to collect, communicate, sense, and interact with the external environment through wireless or wired connections. With rapid advancements in IoT technology, the number of IoT devices is expected to surpass 50 billion by 2020, which has also drawn the attention of attackers who seek to exploit the merits of this new technology for their own benefits. There are many potential security and privacy threats to IoT, such as attacks against IoT systems and unauthorized access to private information of end u…

020203 distributed computingExploitEnd userbusiness.industryWireless networkComputer scienceNetwork security020206 networking & telecommunications02 engineering and technologyComputer securitycomputer.software_genreComputer Science Applications0202 electrical engineering electronic engineering information engineeringWirelessEnergy supplyElectrical and Electronic EngineeringInternet of ThingsbusinessPrivate information retrievalcomputerIEEE Wireless Communications
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Image retrieval system for citizen services using penalized logistic regression models

2020

This paper describes a procedure to deal with large image collections obtained by smart city services based on interaction with citizens providing pictures. The semantic gap between the low-level image features and represented concepts and situations has been addressed using image retrieval techniques. A relevance feedback procedure is proposed for Content-Based Image Retrieval (CBIR) based on the modelling of user responses. One of the novelties of the proposal is that the feedback learning procedure can use the information that citizens themselves can provide when using these services.The proposed algorithm considers the probability of an image belonging to the set of those sought by the …

020203 distributed computingInformation retrievalComputer scienceRelevance feedback02 engineering and technologyLogistic regressionImage (mathematics)Set (abstract data type)Smart city0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingHigh dimensionalityImage retrievalSemantic gapProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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Language complexity in on-line health information retrieval

2020

The number of people searching for on-line health information has been steadily growing over the years so it is crucial to understand their specific requirements in order to help them finding easily and quickly the specific in-formation they are looking for. Although generic search engines are typically used by health information seekers as the starting point for searching information, they have been shown to be limited and unsatisfactory because they make generic searches, often overloading the user with the provided amount of results. Moreover, they are not able to provide specific information to different types of users. At the same time, specific search engines mostly work on medical li…

020205 medical informaticsComputer scienceKnowledge management02 engineering and technologyUser requirements document01 natural sciencesSearch engineSeekersPatient empowerment; E-Health Health Information Seeking; User Requirements; Language Complexity; Structured Data on the Web0202 electrical engineering electronic engineering information engineeringInformation retrievalComputer softwareSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalLanguage complexitySettore INF/01 - InformaticaLanguage complexityPoint (typography)Consumer behaviourCommunicationSpecific-information010401 analytical chemistry0104 chemical sciencesHealthOrder (business)Health information seekingUser requirementsE-HealthStructured data on the webMedical literature
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ULearn: Personalized Medical Learning on the Web for Patient Empowerment

2019

Abstract. Health literacy constitutes an important step towards patient empowerment and the Web is presently the biggest repository of medical information and, thus, the biggest medical resource to be used in the learning process. However, at present web medical information is mainly accessed through generic search engines that do not take into account the user specific needs and starting knowledge and so are not able to support learning activities tailored to the specific user requirements. This work presents “ULearn” a meta engine that supports access, understanding and learning on the Web in the medical domain based on specific user requirements and knowledge levels towards what we call …

020205 medical informaticsComputer scienceProcess (engineering)media_common.quotation_subjectDistance educationHealth literacy02 engineering and technologyInformation technologyPatient empowerment; search as learning; e-health; Health literacy; Health seeking behaviorUser requirements documentEducationWorld Wide WebDistance education03 medical and health sciences0302 clinical medicineResource (project management)0202 electrical engineering electronic engineering information engineeringInformation retrieval030212 general & internal medicineComputer softwareEmpowermentmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryCommunicationEducational technologyInformation technologyPatient empowerment search as learning e-health Health literacy Health seeking behavior.World Wide WebEducational technologyHealthbusiness
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Quality Assessment of Reconstruction and Relighting from RTI Images: Application to Manufactured Surfaces

2019

In this paper, we propose to evaluate the quality of the reconstruction and relighting from images acquired by a Reflectance Transformation Imaging (RTI) device. Three relighting models, namely the PTM, HSH and DMD, are evaluated using PSNR and SSIM. A visual assessment of how the reconstructed surfaces are perceived is also carried out through a sensory experiment. This study allows to estimate the relevance of these models to reproduce the appearance of the manufactured surfaces. It also shows that DMD reproduces the most accurate reconstruction/relighting to an acquired measurement and that a higher sampling density don't mean necessarily a higher perceptual quality.

0209 industrial biotechnologyComputer sciencebusiness.industryQuality assessmentmedia_common.quotation_subject02 engineering and technologyIterative reconstruction020901 industrial engineering & automationVisual assessment0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionQuality (business)Relevance (information retrieval)Artificial intelligenceSampling densityPolynomial texture mappingbusinessSurface reconstructionmedia_common2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification

2021

Abstract In Ultra High-Vacuum (UHV) systems it is common to find a mixture of many gases originating from surface outgassing, leaks and permeation that contaminate vacuum chambers and cause issues to reach ultimate pressures. The identification of these contaminants is, in general, done manually by trained technicians from the analysis of mass spectra. This task is time consuming and can lead to misinterpretation or partial understanding of issues. The challenge resides in the rapid identification of these contaminants by using some automatic gas identification technique. This paper explores the automatic and simultaneous identification of 80 molecules, including some of the most commonly p…

0209 industrial biotechnologyComputer sciencebusiness.industryUltra-high vacuumGeneral EngineeringBinary numberPattern recognition02 engineering and technologyComputer Science ApplicationsOutgassingIdentification (information)020901 industrial engineering & automationArtificial IntelligenceTest set0202 electrical engineering electronic engineering information engineeringMass spectrum020201 artificial intelligence & image processingRelevance (information retrieval)Artificial intelligencebusinessHamming codeExpert Systems with Applications
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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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An Ontology to Support Semantic Management of FMEA Knowledge

2016

<p>Risk mitigation has always been a special concern for organization’s strategic management. Various tools and techniques have been developed to manage risk in an effective way. Failure Mode and Effects Analysis (FMEA) is one of the tools used for effective assessment of risk. It analyzes all potential failure modes, their causes, and effects on a product or process. Moreover it recommends actions to mitigate failures in order to enhance product reliability. Organizations spend their resources and domain experts make their efforts to complete this analysis. It further helps organizations identify the expected risks and plan strategies in advance to tackle them. But unfortunately the …

0209 industrial biotechnologyKnowledge managementComputer Networks and Communicationsbusiness.industryProcess (engineering)Computer science0102 computer and information sciences02 engineering and technologyReuseOntology (information science)01 natural sciencesComputer Science Applications020901 industrial engineering & automationComputational Theory and MathematicsData retrievalRisk analysis (engineering)010201 computation theory & mathematicsStrategic managementbusinessFailure mode and effects analysisRisk managementNatural languageInternational Journal of Computers Communications & Control
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A decomposition approach to dual shuttle automated storage and retrieval systems

2016

[EN] Automated Storage and Retrieval Systems (AS/RS) have become vital in today¿s distribution and production environments, however it remains necessary to equip them with more efficient operational control policies. Motivated by real situations encountered by companies employing AS/RS, the present paper studies a miniload AS/RS system, with a dual shuttle crane in which a set of storage and retrieval requests must be scheduled such that the prioritized waiting time is minimized. Dual shuttle cranes have received minimal academic attention and thus continue to pose new problems that must be solved. The miniload AS/RS problem is addressed by decomposing it into a location assignment and sequ…

0209 industrial biotechnologyMathematical optimizationGeneral Computer ScienceComputer scienceESTADISTICA E INVESTIGACION OPERATIVA0211 other engineering and technologiesLogistics02 engineering and technologyAutomated storage and retrieval systemsSet (abstract data type)Dual shuttle020901 industrial engineering & automationDecomposition (computer science)HeuristicsMetaheuristicDecomposition021103 operations researchBranch and boundHeuristicControl policiesGeneral EngineeringWarehouseDual (category theory)Decomposition method (constraint satisfaction)HeuristicsComputers & Industrial Engineering
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