Search results for " Detection"

showing 10 items of 1676 documents

Ultrasensitive Silicon Nanowire for Real-World Gas Sensing: Noninvasive Diagnosis of Cancer from Breath Volatolome

2014

We report on an ultrasensitive, molecularly modified silicon nanowire field effect transistor that brings together the lock-and-key and cross-reactive sensing worlds for the diagnosis of (gastric) cancer from exhaled volatolome. The sensor is able to selectively detect volatile organic compounds (VOCs) that are linked with gastric cancer conditions in exhaled breath and to discriminate them from environmental VOCs that exist in exhaled breath samples but do not relate to the gastric cancer per se. Using breath samples collected from actual patients with gastric cancer and from volunteers who do not have cancer, blind analysis validated the ability of the reported sensor to discriminate betw…

SiliconVolatile Organic CompoundsMaterials scienceNanowiresMechanical Engineeringdigestive oral and skin physiologyCancerBioengineeringNanotechnologyGeneral ChemistryCondensed Matter Physicsmedicine.diseaseBreath TestsLimit of DetectionNeoplasmsmedicineHumansGeneral Materials ScienceSilicon nanowiresBiomedical engineeringNano Letters
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Green and Integrated Wearable Electrochemical Sensor for Chloride Detection in Sweat

2022

Wearable sensors for sweat biomarkers can provide facile analyte capability and monitoring for several diseases. In this work, a green wearable sensor for sweat absorption and chloride sensing is presented. In order to produce a sustainable device, polylactic acid (PLA) was used for both the substrate and the sweat absorption pad fabrication. The sensor material for chloride detection consisted of silver-based reference, working, and counter electrodes obtained from upcycled compact discs. The PLA substrates were prepared by thermal bonding of PLA sheets obtained via a flat die extruder, prototyped in single functional layers via CO2 laser cutting, and bonded via hot-press. The effect of co…

SilverPolyestersSettore ING-IND/34 - Bioingegneria IndustrialeBiosensing TechniquesElectrochemical TechniquesBiochemistryAtomic and Molecular Physics and OpticsAnalytical ChemistryWearable Electronic DevicesSettore ING-IND/23 - Chimica Fisica ApplicataSettore ING-IND/22 - Scienza E Tecnologia Dei MaterialiChloridesSettore ING-IND/17 - Impianti Industriali MeccaniciHumansElectrical and Electronic Engineeringelectrochemical sensors; wearable sensor; chloride detection; electrolyte assisted electrospinning; environmental-friendly; laser cuttingSweatchloride detection electrochemical sensors electrolyte assisted electrospinning environmental-friendly laser cutting wearable sensor Humans Sweat Chlorides Silver Polyesters Electrochemical Techniques Wearable Electronic Devices Biosensing TechniquesInstrumentation
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Views selection for SIFT based object modeling and recognition

2016

In this paper we focus on automatically learning object models in the framework of keypoint based object recognition. The proposed method uses a collection of views of the objects to build the model. For each object the collection is composed of N×M views obtained rotating the object around its vertical and horizontal axis. As keypoint based object recognition using a complete set of views is computationally expensive, we focused on the definition of a selection method that creates, for each object, a subset of the initial views that visually summarize the characteristics of the object and should be suited for recognition. We select the views by determining maxima and minima of a function, …

Similarity (geometry)Computer science3D single-object recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLearning objectScale-invariant feature transform02 engineering and technologySIFT0202 electrical engineering electronic engineering information engineeringMedia TechnologyComputer vision060201 languages & linguisticsObject RecognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryFeature matchingCognitive neuroscience of visual object recognitionPattern recognition06 humanities and the artsObject (computer science)Object Modeling0602 languages and literatureSignal ProcessingObject model020201 artificial intelligence & image processingViola–Jones object detection frameworkArtificial intelligencebusiness
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Trademarks recognition based on local regions similarities

2010

This paper deals with content based image retrieval. We propose a logo recognition algorithm based on local regions, where the trademark (or logo) image is segmented by the clustering of points of interest obtained by Harris corners detector. The minimum rectangle surrounding each cluster is detected forming the regions of interest. Global features such as Hu moments and histograms of each local region are combined to find similar logos in the database. Similarity is measured based on the integrated minimum average distance of the individual components. The results obtained demonstrate tolerance to logos distortions such as rotation, occlusion and noise.

Similarity (geometry)business.industryComputer scienceMathematics::History and OverviewComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCorner detectionPattern recognitionImage segmentationContent-based image retrievalEdge detectionComputingMethodologies_PATTERNRECOGNITIONComputer Science::Computer Vision and Pattern RecognitionPattern recognition (psychology)Computer visionArtificial intelligencebusinessCluster analysisImage retrieval10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)
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Experimente zur Entwicklung eines implantierbaren und dauernd funktionsfähigen Glukose-Sensors auf Basis der Polarimetrie - Experiments Aimed at Enab…

1995

In vitro and in vivo experiments devised with the aim of developing a permanently implantable glucose sensor based on polarimetry are described. It was found that in ultrafiltrated human blood plasma the overall optical rotation was 94% specific for glucose, and that polarisation photometry yielded a sufficiently sensitive signal for in vivo glucose detection. The three types of capillary membrane intended for implantation that we tested, revealed an in vitro response time to glucose concentration of 10 minutes; when implanted, they maintain this over a period of weeks, during which time the same glucose concentrations can be measured daily in ultrafiltrated capillary fluid as in the blood …

Single administrationHuman bloodChemistrybusiness.industryInsulinmedicine.medical_treatmentGlucose detectionBiomedical EngineeringPolarimetryOpticsIn vivomedicineGlucose sensorsbusinessCapillary membraneBiomedical engineeringBiomedizinische Technik/Biomedical Engineering
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Why Moving Averages?

2017

This chapter presents a brief motivation for using moving averages for trend detection, how moving averages are computed, and their two key properties: the average lag (delay) time and smoothness. The most important thing to understand right from the start is that there is a direct relationship between the average lag time and smoothness of a moving average.

Smoothness (probability theory)Lag timeDividend discount modelTrend detectionMoving averageLagStatisticsMathematics
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Studying micro-communities in Facebook Communities

2018

In the visionary view of the future Internet, named the Next Generation Internet, a current idea is to have a user-centric approach where human behavior models will be used to define the networks or to manage services. During the last years, a great trend in current Social Media platforms is to offer the opportunity to establish and join groups of people online. Despite human behaviour in current Online Social Media have been studied in depth, characteristics of these aggregations of people in content-based communities are still unknown. In this paper, we propose an evaluation of micro-communities of users inside the big network of Facebook groups to understand how and when users are active…

Social Networks AnalysiSettore INF/01 - Informaticabusiness.industryInternet privacyComplex NetworkCommunity Detection; Complex Networks; Facebook Groups Analysis; Social Networks Analysis020206 networking & telecommunications02 engineering and technologyComplex networkComplex NetworksHuman-Computer InteractionSocial groupComputer Networks and CommunicationFacebook Groups AnalysiFacebook Groups Analysis0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingThe InternetSocial mediaSociologySocial Networks AnalysisbusinessCommunity DetectionSoftware1707Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good
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Assisted labeling for spam account detection on twitter

2019

Online Social Networks (OSNs) have become increasingly popular both because of their ease of use and their availability through almost any smart device. Unfortunately, these characteristics make OSNs also target of users interested in performing malicious activities, such as spreading malware and performing phishing attacks. In this paper we address the problem of spam detection on Twitter providing a novel method to support the creation of large-scale annotated datasets. More specifically, URL inspection and tweet clustering are performed in order to detect some common behaviors of spammers and legitimate users. Finally, the manual annotation effort is further reduced by grouping similar u…

Social network021110 strategic defence & security studiesInformation retrievalSocial networkbusiness.industryComputer scienceSpam detectionSmart device0211 other engineering and technologies020206 networking & telecommunicationsUsability02 engineering and technologycomputer.software_genrePhishinglaw.inventionManual annotationlawComputer security0202 electrical engineering electronic engineering information engineeringBlacklistingMalwarebusinessCluster analysiscomputer
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LC of high to moderately polar basic drugs in urine with water and detergent, and direct injection

2016

Background: Micellar LC was first proposed as a ‘green’ mode using mobile phases of water and surfactant. However, in most procedures a small amount of organic solvent is required to decrease the retention to convenient values. Results & methodology: Mixed micellar mobile phases prepared with both cationic (sodium dodecyl sulphate) and nonionic surfactant (Brij-35) modulate the retention of high to moderately polar basic drugs to practical times, eliminating the need of organic solvent. While the mobile phase is continuously recycled through the system, the stationary phase performance is maintained after repetitive injection of the samples. Discussion & conclusion: Through an exte…

SodiumClinical Biochemistrychemistry.chemical_elementUrine010402 general chemistry01 natural sciencesPolyethylene GlycolsAnalytical ChemistrySurface-Active AgentsPulmonary surfactantLimit of DetectionPhase (matter)HumansGeneral Pharmacology Toxicology and PharmaceuticsMicellesChromatographyChemistryOrganic solvent010401 analytical chemistryCationic polymerizationSodium Dodecyl SulfateWaterGeneral Medicine0104 chemical sciencesMedical Laboratory TechnologyPharmaceutical PreparationsStationary phaseFlow Injection AnalysisPolarChromatography LiquidBioanalysis
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Learning temporal patterns for anomaly intrusion detection

2002

For the last decade an explosive spread of computer systems and computer networks has resulted in a society that is increasingly dependent on information stored on these systems. A computer system connected to the network is accessible from another computer in this network regardless of its geographical position. Along with providing many benefits for legitimate users this technology creates almost unlimited opportunities for malicious persons, which using software vulnerabilities may successfully penetrate the networked computer systems. In order to eliminate potential devastating consequences caused by breaches in computer systems, more and more attention is drawn to the information secur…

SoftwareOrder (exchange)Network securitybusiness.industryComputer scienceVulnerabilityPattern matchingIntrusion detection systemInformation securityComputer securitycomputer.software_genrebusinesscomputerProceedings of the 2002 ACM symposium on Applied computing
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