368 research outputs found
Machine learning : a Bayesian and optimization perspective / Sergios Theodoridis.
No full textFormerly CIP. Ukcomputer bookfair2016Includes bibliographical references and index.xxi, 1050 pages
Die Herkunft des byzantinischen Familiennamens Λάσκαρις
No full textIn this article, the author suggests a new etymology for the name Laskaris, born by a family that gave Byzantium one of its imperial dynasties. Older hypotheses are examined, especially the generally accepted one according to which Laskaris is a name of Persian origin meaning "warrior." The author suggests Lascaris rather comes from a Arabic word defining a physical feature: "blonde" or "red-haired.REB 62 2004 p. 269-273
Dimitri Theodorides, Die Herkunft des Byzantinischen Familiennamens Αάσκαρις. — Cet article propose une nouvelle étymologie du nom Lascaris, porté par une famille qui donna une dynastie à Byzance. L'auteur reprend les hypothèses proposées, notamment celle qui est généralement admise et qui ferait de Lascaris un nom d'origine perse, signifiant le « guerrier ». L'auteur propose plutôt d'y voir un mot arabe caractérisant un trait physique : le « blond » ou le « roux ».Theodoridis Dimitri. Die Herkunft des byzantinischen Familiennamens Λάσκαρις. In: Revue des études byzantines, tome 62, 2004. pp. 269-273
Mass spectrometry
No full textMass spectrometry has evolved to become the biggest (in market share and total expenditure) analytical technology. It is also the analytical instrumentation sector with the biggest annual increase, thus signifying its importance and value. Mass spectrometry has become the method of choice because it offers unique characteristics not provided by other technologies such as unsurpassed sensitivity, specificity, molecular weight, and structural information. In the area of food analysis, mass spectrometry is widely used as it is the official method for the analysis of numerous forbidden substances. The present chapter tries to introduce the reader to the technology describing in short the basics of the instrumentation and the technology (ionization methods and mass analyzers). We also describe selected applications (as it is impossible to describe them all in one chapter or even a book). The upcoming field of metabolomics is also described along with the perspectives of the mass spectrometry technology
Developing an IoT Smart City framework
No full textIn this paper, we discuss key findings, technological
challenges and socioeconomic opportunities in Smart City era.
Most of the conclusions were gathered during SmartSantander
project, an EU project that is developing a city-scale testbed
for IoT and Future Internet experimentation, providing an
integrated framework for implementing Smart City services
Using future internet infrastructure and smartphones for mobility trace acquisition and social interactions monitoring
No full textMass spectrometry: principles and instrumentation
No full textMass Spectrometry (MS) has become the major analytical technology, with the biggest market share and the fastest growth rate as it offers important advantages, that is, sensitivity and specificity of detection, analyte structural information and (potentially) unambiguous detection, and quantitation of analytes. MS is the method of choice for a series of food analyses required by regulatory authorities, the industrial sector, and most importantly, it is considered the workhorse in the development of novel methods. The chapter describes basics of MS and applications in the analysis of foods in targeted and untargeted mode (metabolomics)
Quantitative profiling of polar primary metabolites using hydrophilic interaction ultrahigh performance liquid chromatography-tandem mass spectrometry
No full textA hydrophilic interaction liquid chromatography (HILIC)-MS/MS profiling method was developed for the efficient separation and quantification of small polar molecules, mostly primary metabolites. The method was based on an ultrahigh performance liquid chromatography (UHPLC) separation system coupled with ESI mass spectrometry on a triple quadrupole mass spectrometer, operating in both positive and negative
ionisation mode using rapid polarity switching. With the developed method quantitation of 135 compounds belonging in four major classes of polar compounds (sugars, aminoacids, organic acids and
amines) was achieved in a single run of 30 min. The method was applied to grape extracts from different varieties and provided information on primary metabolite content. Multivariate statistical analysis was applied using the concentrations found, with the aim of investigating the differences in metabolite profiles. Classification of grapes according to their skin colour was carried out using principle component analysis based on the concentration variation of a number of the metabolites studied
TCP-Call Admission Control Interaction in Multiplatform Space Architectures
No full textThe implementation of efficient call admission control (CAC) algorithms is useful to prevent congestion and guarantee target quality of service (QoS). When TCP protocol is adopted, some inefficiencies can arise due to the peculiar evolution of the congestion window. The development of cross-layer techniques can greatly help to improve efficiency and flexibility for wireless networks. In this frame, the present paper addresses the introduction of TCP feedback into the CAC procedures in different nonterrestrial wireless architectures. CAC performance improvement is shown for different space-based architectures, including both satellites and high altitude platform (HAP) systems
Monitoring physical space using mobile phones for inferring social and contextual interactions
No full textIn this work, we explore context-aware application scenarios that become possible utilizing semantically-rich information derived from real-world mobility and presence traces. Traces produced by people carrying personal mobile devices, capturing social and contextual interactions, serve as enables for Future Internet applications. We discuss the fundamental concepts, technical issues and related research challenges. We propose a reference architecture for setting up a system that collects such traces in a Smart City environment. We present the algorithms used to process the traces and infer interactions and interests for the observed populations. We conduct two 3-day trial deployments: one in an office environment and the other in the context of a Smart Conference application. We discuss our findings regarding the system's capability to track interactions and the overall efficacy of the application. © 2011 IEEE
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