Search results for "STING"
showing 10 items of 3756 documents
Modeling Transit Flow Through Port Gates and Connecting Channel in Baltic Sea—Liepaja Port—Liepaja Lake System
2021
This study investigates a water transport features by extending Copernicus Marine Environment Service (CMEMS) to the Liepaja coast-port-channel-lake system with a two-way nested model. The Liepaja lake and Liepaja port are connected by Trade channel. The Liepaja port has three gates—the openings in wave breakers connecting the port aquatory with the Baltic sea. Each of gates has a corresponding dredged channel for securing the navigation. A hydrodynamic model is set up to study the flow and water level in this system. The area of the port gates, port and Trade channel are resolved by 33 m grid. The model results are verified against currents and sea level observations inside/outside port, T…
Seismic assessment and retrofit of a concrete building highly damaged by reinforcement corrosion
2020
In existing concrete structures damaged by corrosion, the limited quantity and poor distribution of reinforcements as well as a lack of seismic details are common to many cases because they are built before the advent of seismic codes. In this paper the seismic assessment and retrofit of a concrete building sited in Sicily is presented in order to show a case-study of a corroded reinforced concrete structure to be trans-formed with new structural elements for functional reasons linked to Civil Protection. After many decades of complete abandonment, the structure was strengthened with different strategies, allied to the construction of new steel-concrete composite floors: concrete and steel …
Forecasting daily urban electric load profiles using artificial neural networks
2004
The paper illustrates a combined approach based on unsupervised and supervised neural networks for the electric energy demand forecasting of a suburban area with a prediction time of 24 h. A preventive classification of the historical load data is performed during the unsupervised stage by means of a Kohonen's self organizing map (SOM). The actual forecast is obtained using a two layered feed forward neural network, trained with the back propagation with momentum learning algorithm. In order to investigate the influence of climate variability on the electricity consumption, the neural network is trained using weather data (temperature, relative humidity, global solar radiation) along with h…
Stellenwert der Spirometertriggerung für die hochauflösende Computertomographie der Lunge in Inspiration und Exspiration
1998
PURPOSE To compare mean lung density (MLD) of paired inspiratory and expiratory thin-section CT scans acquired after patient instruction or using spirometric gating. MATERIALS AND METHODS 21 patients (13 m, 8 f. median age 59 years, two with normal lung function, 15 with obstructive, 4 with restrictive impairment) underwent thin-section CT. Paired inspiratory and expiratory scans were performed in the upper, middle and lower lung fields. They were acquired after automatic patient instruction with constant intervals between instruction and scan. Spirometrically gated scans were acquired within 4 days at 80% and 20% of vital capacity (VC) which has been determined on the CT scanner in supine …
Exploiting the optical quadratic nonlinearity of zinc-blende semiconductors for guided-wave terahertz generation: A material comparison
2010
We present a detailed analysis and comparison of dielectric waveguides made of CdTe, GaP, GaAs and InP for modal phase matched optical difference frequency generation (DFG) in the terahertz domain. From the form of the DFG equations, we derived the definition of a very general figure of merit (FOM). In turn, this FOM enabled us to compare different configurations, by taking into account linear and nonlinear susceptibility dispersion, terahertz absorption, and a rigorous evaluation of the waveguide modes properties. The most efficient waveguides found with this procedure are predicted to approach the quantum efficiency limit with input optical power in the order of kWs.
Semiotica della degustazione. Assiologie e processi gustativi nel caso esemplare della tarte au citron
2019
La tarte au citron meringuée è un dolce classico della pasticceria francese, pur essendo un hapax per la combinazione di dolcezza e acidità che ne tradisce l’origine alloctona. In questo lavoro, proponiamo di analizzare il processo di gusti e sapori a cui la sua degustazione dà luogo a partire da un corpus di ricettari francesi “maggiori”, di assaggi di varianti del dolce in tre sale da té della città di Tolosa e di interviste ai pasticceri degli esercizi scelti. Lo studio ha un duplice obbiettivo: da un lato, analizzare la combinazione percettiva che permette di “normalizzare” l’esperienza percettiva del dolce nel sistema della pasticceria francese “classica”, dal quale si discosta parzial…
Epidemiological analysis of Salmonella enterica from beef sampled in the slaughterhouse and retailers in Dakar (Senegal) using pulsed-field gel elect…
2007
Seventy-eight isolates of Salmonella spp. isolated from beef sampled from the official city slaughterhouse and from retailers in Dakar, Senegal were analyzed using serotyping, antimicrobial testing and macrorestriction profiling by Pulsed-Field Gel Electrophoresis (PFGE). These analyses were done to identify clonal relationships and potential transmission routes in beef channel. XbaI macrorestriction allowed defining 17 genotypes among the six main analyzed serotypes: Salmonella bredeney (3 genotypes), S. muenster (6), S. waycross (1), S. corvallis (3), S. kentucky (1) and S. brandenburg (3). The cross analysis of PFGE profiles and origin of the beef samples reveals a wide range of contamin…
A Cloud Federation Architecture
2015
Cloud Computing is the state of the art computation paradigm enabling providers to offer computing resources to customers in a pay-per-use fashion. Nowadays public Cloud providers offer similar services within few service models, mainly IaaS and PaaS. Cloud providers give to the user the feeling to dispose of infinite resources, thus having to predict the user requirements in order to provide services with minimal costs, maintaining at the same time high levels of SLAs. In order to achieve this goal, Cloud providers can cooperate together to bring new business opportunities, such as expanding available resources, achieving cost effective asset optimization and adopting power saving policies…
An RF Wireless Power Transfer system to power battery-free devices for asset tracking
2019
Internet of Things (IoT) and Wireless Sensor Networks (WSN) infrastructures are becoming more and more available and diffused. One major outcome is the development of new services that help to make everyday life easier and better. One of those to which this paper reserves special attention is asset tracking which refers to the method of tracking physical assets. This service is very well based on IoT infrastructure and, due to the enormous number of objects to be traced, desperately needs the availability of inexpensive tags with sensing capabilities, that can be conveniently monitored from a long distance and require no maintenance. For this, engineers are called to face very challenging i…
Stochastic Fatigue Models for Efficient Planning Inspections in Service of Aircraft Structures
2008
For important fatigue-sensitive structures of aircraft whose breakdowns cause serious accidents, it is required to keep their reliability extremely high. In this paper, we discuss inspection strategies for such important structures against fatigue failure. The focus is on the case when there are fatiguecracks unexpectedly detected in a fleet of aircraft within a warranty period (prior to the first inspection). The paper examines this case and proposes stochastic models for prediction of fatigue-crack growth to determine appropriate inspections intervals. We also do not assume known parameters of the underlying distributions, and the estimation of that is incorporated into the analysis and d…