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Ciuciu I.,STARLab | Meersman R.,STARLab | Perrin E.,ERT Gaspard Monge | Danesi F.,DINCCS
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

Decision making is tightly related to the understanding of the design and manufacturing practices. In our previous work, we proposed an intuitive approach for geometric modeling in CAD, based on the integration of the user's knowledge with virtual design tools. This approach facilitates the design of the CAD models using deformations. Deformations are done by the bias of a layered architecture which captures and represents the user's knowledge at five semantic levels. The idea of using semantics was to provide high level modeling primitives for the data model in order to facilitate the design for a non-expert user. This paper discusses the natural language representation of the user-specific knowledge by means of ontologies and its major contribution to the computer-human interaction. The approach is demonstrated on an industrial example of surface deformation for the design of a car parcel shelf. © 2010 Springer-Verlag Berlin Heidelberg.


Molaee-Ardekani B.,French Institute of Health and Medical Research | Molaee-Ardekani B.,University of Rennes 1 | Marquez-Ruiz J.,Pablo De Olavide University | Merlet I.,French Institute of Health and Medical Research | And 10 more authors.
Brain Stimulation | Year: 2013

Although it is well-admitted that transcranial Direct Current Stimulation (tDCS) allows for interacting with brain endogenous rhythms, the exact mechanisms by which externally-applied fields modulate the activity of neurons remain elusive. In this study a novel computational model (a neural mass model including subpopulations of pyramidal cells and inhibitory interneurons mediating synaptic currents with either slow or fast kinetics) of the cerebral cortex was elaborated to investigate the local effects of tDCS on neuronal populations based on an in-vivo experimental study. Model parameters were adjusted to reproduce evoked potentials (EPs) recorded from the somatosensory cortex of the rabbit in response to air-puffs applied on the whiskers. EPs were simulated under control condition (no tDCS) as well as under anodal and cathodal tDCS fields. Results first revealed that a feed-forward inhibition mechanism must be included in the model for accurate simulation of actual EPs (peaks and latencies). Interestingly, results revealed that externally-applied fields are also likely to affect interneurons. Indeed, when interneurons get polarized then the characteristics of simulated EPs become closer to those of real EPs. In particular, under anodal tDCS condition, more realistic EPs could be obtained when pyramidal cells were depolarized and, simultaneously, slow (resp. fast) interneurons became de- (resp. hyper-) polarized. Geometrical characteristics of interneurons might provide some explanations for this effect. © 2013 Elsevier Inc. All rights reserved.


Pierdicca N.,University of Rome La Sapienza | Guerriero L.,University of Rome Tor Vergata | Giusto R.,University of Rome La Sapienza | Brogioni M.,CNR Institute of Applied Physics Nello Carrara | Egido A.,Starlab
IEEE Transactions on Geoscience and Remote Sensing | Year: 2014

The mean power of the reflected Global Navigation Satellite System (GNSS) signals acquired by a GNSS-Reflectometry (GNSS-R) receiver can be modeled through the integral bistatic radar equation by weighting the contributions of all scatterers on the surface by the system impulse response. The geophysical properties of the scattering surface affect the magnitude of the reflected navigation signals through the bistatic scattering coefficient which, in case the observed surface is land, is a function of the soil dielectric properties, surface roughness, and vegetation cover. In this paper, the GNSS-R signal simulator developed in the framework of the Land MOnitoring with Navigation signal (LEiMON) Project, supported by European Space Agency, is presented. The simulator is able to predict the power reflected by land, taking as input the system and observation parameters, as well as the land surface parameters. The latter are used to simulate both the coherent and the incoherent scattering, taking advantage of widely used theoretical models of bistatic scattering from bare soils and vegetated surfaces. First, the geometrical formulation is discussed, and then, the problem of polarization mismatch due to real antennas at circular polarization is faced following the polarization synthesis approach. Finally, a comparison with some experimental data collected during the LEiMON campaign is presented. The simulations display the same trend of the experimental data, thus showing that the simulator can be used as an efficient tool for the interpretation of GNSS-R measurements. © 1980-2012 IEEE.


Paloscia S.,CNR Institute of Applied Physics Nello Carrara | Pettinato S.,CNR Institute of Applied Physics Nello Carrara | Santi E.,CNR Institute of Applied Physics Nello Carrara | Notarnicola C.,EURAC Research | And 2 more authors.
Remote Sensing of Environment | Year: 2013

The main objective of this research is to develop, test and validate a soil moisture content (SMC) algorithm for GMES Sentinel-1 characteristics. The SMC product, which is to be generated from Sentinel-1 data, requires an algorithm capable of processing operationally in near-real-time and delivering the product to the GMES services within 3. h from observation. An approach based on an Artificial Neural Network (ANN) has been proposed that represents a good compromise between retrieval accuracy and processing time, thus enabling compliance with the timeliness requirements. The algorithm has been tested and subsequently validated in several test areas in Italy, Australia, and Spain.In all cases the validation results were very much in line with GMES requirements (with RMSE generally <. 4%SMC - between 1.67%SMC and 6.68%SMC - and very low bias), except for the case of the test area in Spain, where the validation results were penalized by the availability of only VV polarized SAR images and MODIS low-resolution NDVI. Nonetheless, the obtained RMSE was slightly higher than 4%SMC. © 2013 Elsevier Inc.


Salvador R.,Institute of Biophysics and Biomedical Engineering IBEB | Mekonnen A.,Institute of Biophysics and Biomedical Engineering IBEB | Ruffini G.,Starlab. | Miranda P.C.,Institute of Biophysics and Biomedical Engineering IBEB
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 | Year: 2010

Much of our knowledge about the electric field distribution in transcranial current stimulation (tCS) still relies on results obtained from layered spherical head models. In this work we created a high resolution finite element model of a human head by segmentation of MRI images, and paid particular attention to the representation of the cortical sheet. This model was then used to calculate the electric field induced by two electrodes: an anode placed above the left motor cortex, and a cathode placed over the right eyebrow. The results showed that the maxima of the current density appear located on localized hotspots in the bottom of sulci and not on the cortical surface as would be expected from spherical models. This also applies to the components of the current density normal and tangential to the cortical surface. These results show that such highly detailed head models are needed to correctly predict the effects of tCS on cortical neurons. © 2010 IEEE.


— Factors such as increasing prevalence of diabetes & kidney failure, enhanced R&D funding and growing demand for biopharmaceutical molecules are driving the market growth. However, strict government rules for validation of filtration process may hamper the market. The emerging markets will provide new growth opportunities for this market. Pharmaceutical & biotechnology segment dominated the global market with largest share in 2015. This is attributed to the more usage of sterile filtration techniques in manufacturing process involved in pharmaceutical & biotechnology companies. North America accounted for largest share in the global market owing to increased R&D spending. Some of the key players in Sterile Filtration market include Starlab Scientific Co., Ltd., 3M, Sartorius Stedim Biotech S.A., Sigma-Aldrich Corporation, Merck & Co., Inc., Sterlitech Corporation, General Electric Company, Pall Corporation, Porvair Filtration Group and Parker Hannifin Corp. Applications Covered: • Fill-finish Process o Syrups o Large-volume Parenterals o Small-volume Parenterals • Virus Filtration • Bioprocesses o Bioburden Control o Cell Culture Growth Media o Vaccines o Recombinant Proteins o Pharma Drugs o Buffer Filtration o Other Bioprocesses • Pre-Filtration • Utilities Filtration o Water o Air and Gas • Other Applications Regions Covered: • North America o US o Canada o Mexico • Europe o Germany o France o Italy o UK o Spain o Rest of Europe • Asia Pacific o Japan o China o India o Australia o New Zealand o Rest of Asia Pacific • Rest of the World o Middle East o Brazil o Argentina o South Africa o Egypt What our report offers: - Market share assessments for the regional and country level segments - Market share analysis of the top industry players - Strategic recommendations for the new entrants - Market forecasts for a minimum of 7 years of all the mentioned segments, sub segments and the regional markets - Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations) - Strategic recommendations in key business segments based on the market estimations - Competitive landscaping mapping the key common trends - Company profiling with detailed strategies, financials, and recent developments - Supply chain trends mapping the latest technological advancements About Stratistics MRC We offer wide spectrum of research and consulting services with in-depth knowledge of different industries. We are known for customized research services, consulting services and Full Time Equivalent (FTE) services in the research world. We explore the market trends and draw our insights with valid assessments and analytical views. We use advanced techniques and tools among the quantitative and qualitative methodologies to identify the market trends. Our research reports and publications are routed to help our clients to design their business models and enhance their business growth in the competitive market scenario. We have a strong team with hand-picked consultants including project managers, implementers, industry experts, researchers, research evaluators and analysts with years of experience in delivering the complex projects. For more information, please visit http://www.strategymrc.com/


News Article | November 23, 2016
Site: www.newsmaker.com.au

According to Stratistics MRC, the Global Sterile Filtration Market is accounted for $4.12 billion in 2015 and is expected to reach $9.57 billion by 2022 growing at a CAGR of 12.7% during the forecast period. Factors such as increasing prevalence of diabetes & kidney failure, enhanced R&D funding and growing demand for biopharmaceutical molecules are driving the market growth. However, strict government rules for validation of filtration process may hamper the market. The emerging markets will provide new growth opportunities for this market. Pharmaceutical & biotechnology segment dominated the global market with largest share in 2015. This is attributed to the more usage of sterile filtration techniques in manufacturing process involved in pharmaceutical & biotechnology companies. North America accounted for largest share in the global market owing to increased R&D spending. Some of the key players in Sterile Filtration market include Starlab Scientific Co., Ltd., 3M, Sartorius Stedim Biotech S.A., Sigma-Aldrich Corporation, Merck & Co., Inc., Sterlitech Corporation, General Electric Company, Pall Corporation, Porvair Filtration Group and Parker Hannifin Corp. Applications Covered: • Fill-finish Process o Syrups o Large-volume Parenterals o Small-volume Parenterals • Virus Filtration • Bioprocesses o Bioburden Control o Cell Culture Growth Media o Vaccines o Recombinant Proteins o Pharma Drugs o Buffer Filtration o Other Bioprocesses • Pre-Filtration • Utilities Filtration o Water o Air and Gas • Other Applications Membrane Pore Sizes Covered: • 0.45 Microns • 0.22 Microns • 0.1 Micron End Users Covered: • Food & Beverage Industry • Pharmaceutical & Biotechnology Companies • Water Filtration Companies • Academic Institutes & Research Laboratories Products Covered: • Bottle-top Vacuum Filters • Filtration Accessories • Cartridge & Capsules • Membrane Filters o PVDF Membrane Filters o MCE Membrane Filters o PES Membrane Filters o Cellulose Acetate Membrane Filters o Nylon Membrane Filters o PTFE Membrane Filters • Filter Funnels & Holders • Syringe Filters • Other Products   Regions Covered: • North America o US o Canada o Mexico • Europe o Germany o France o Italy o UK  o Spain o Rest of Europe       • Asia Pacific o Japan        o China        o India        o Australia        o New Zealand       o Rest of Asia Pacific • Rest of the World o Middle East o Brazil       o Argentina        o South Africa o Egypt What our report offers: - Market share assessments for the regional and country level segments - Market share analysis of the top industry players - Strategic recommendations for the new entrants - Market forecasts for a minimum of 7 years of all the mentioned segments, sub segments and the regional markets - Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations) - Strategic recommendations in key business segments based on the market estimations - Competitive landscaping mapping the key common trends - Company profiling with detailed strategies, financials, and recent developments - Supply chain trends mapping the latest technological advancements


Pierdicca N.,University of Rome La Sapienza | Guerriero L.,University of Rome Tor Vergata | Brogioni M.,University of Rome La Sapienza | Egido A.,STARLAB
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2012

The work presented in this paper has been carried out with the aim of interpreting the data of a GNSS Reflectometer (GNSS-R) over land. The problem involves the analysis of bistatic scattering of the incoming signal collected around the specular direction. This requires to model the coherent component associated to the mean surface but at the same time the diffuse incoherent component due to roughness at wavelength scale. In presence of vegetation, both components will be affected, the former mainly because of the canopy attenuation and the latter for the combined effect of attenuation and volume scattering. The paper reviews the problem and presents the approach followed to develop a simulator of GNSS-R data over land, aiming to support potential applications of GNSS-R for soil moisture and biomass retrieval. © 2012 IEEE.


Xu J.,Autonomous University of Barcelona | Vazquez D.,Autonomous University of Barcelona | Lopez A.M.,Autonomous University of Barcelona | Marin J.,Starlab | Ponsa D.,Autonomous University of Barcelona
IEEE Transactions on Intelligent Transportation Systems | Year: 2014

Detecting pedestrians with on-board vision systems is of paramount interest for assisting drivers to prevent vehicle-to-pedestrian accidents. The core of a pedestrian detector is its classification module, which aims at deciding if a given image window contains a pedestrian. Given the difficulty of this task, many classifiers have been proposed during the last 15 years. Among them, the so-called (deformable) part-based classifiers, including multiview modeling, are usually top ranked in accuracy. Training such classifiers is not trivial since a proper aspect clustering and spatial part alignment of the pedestrian training samples are crucial for obtaining an accurate classifier. In this paper, we first perform automatic aspect clustering and part alignment by using virtual-world pedestrians, i.e., human annotations are not required. Second, we use a mixture-of-parts approach that allows part sharing among different aspects. Third, these proposals are integrated in a learning framework, which also allows incorporating real-world training data to perform domain adaptation between virtual- and real-world cameras. Overall, the obtained results on four popular on-board data sets show that our proposal clearly outperforms the state-of-the-art deformable part-based detector known as latent support vector machine. © 2000-2011 IEEE.


Brown B.J.,Starlab | Derom K.,Starlab | Lindsay A.,Starlab | Saraceno C.,Starlab
European Signal Processing Conference | Year: 2015

This work presents a methodology to extract and represent the semantic content of audio-visual documents. A collection of diverse tools is used to extract low level, signal based descriptions. Joint audio and visual analysis is utilized to automatically extract higher level semantic features. High-level, hand-annotated, descriptors are also used. The hand annotated descriptors are used for retrieval purpose as well as to enhance the results of the automatic procedure, i.e. to allow the system to learn how high level semantic information are linked to low level automatically extracted features through user's input. We draw upon MPEG-7's collection of Descriptors to provide some targets for our audio and visual analysis methods. Selected MPEG-7 Description Schemes, such as the textual description, the description of persons, and the description of the structural aspects of the content of the AV document [1], provide some of the larger containment structures for our features. © 2000 EUSIPCO.

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