Improving effect of metal and oxide nanoparticles encapsulated in porous silica on fermentative biohydrogen production by Clostridium butyricum.Beckers, Laurent ; Hiligsmann, Serge ; Lambert, Stéphanie et alin Bioresource Technology (2013), 133C This paper investigated the enhancement effect of nanometre-sized metallic (Pd, Ag and Cu) or metallic oxide (Fe(x)O(y)) nanoparticles on fermentative hydrogen production from glucose by a Clostridium ... [more ▼] This paper investigated the enhancement effect of nanometre-sized metallic (Pd, Ag and Cu) or metallic oxide (Fe(x)O(y)) nanoparticles on fermentative hydrogen production from glucose by a Clostridium butyricum strain. These nanoparticles (NP) of about 2-3nm were encapsulated in porous silica (SiO(2)) and were added at very low concentration (10(-6)molL(-1)) in batch hydrogen production test. The cultures containing iron oxide NP produced 38% more hydrogen with a higher maximum H(2) production rate (HPR) of 58% than those without NP or with silica particles only. The iron oxide NP were used in a 2.5L sequencing-batch reactor and showed no significant effect on the yields (established at 2.2mol(hydrogen)mol(glucose)(-1)) but an improvement of the HPR (+113%, reaching a maximum HPR of 86mL(hydrogen)L(-1)h(-1)). These results suggest an improvement of the electron transfers trough some combinations between enzymatic activity and inorganic materials. [less ▲] Detailed reference viewed: 34 (5 ULg) Improving energy efficiency of existing suburban areas through district energy planningMarique, Anne-Françoise ; Reiter, Sigrid ![]() in Proceedings of ISHVAC 2011 (2011, November) Urban sprawl represents a significant contribution to the overall energy consumption of a territory for energy needs in buildings and for transport. It is a huge concern in Belgium where public ... [more ▼] Urban sprawl represents a significant contribution to the overall energy consumption of a territory for energy needs in buildings and for transport. It is a huge concern in Belgium where public authorities face the following question: “what to do with existing low-density districts that require a lot of resources?” while households still continue to favour this kind of dwellings. In this context, the paper draws up a typological classification of reference Walloon suburban blocks. Then, energy savings relating to several types of renewal strategy are evaluated. These strategies deal with the measures to reduce heat demand in buildings, to increase the built density and to reduce energy consumption in the transport sector. Results from this analysis show that a strong potential exists to improve energy efficiency in existing suburban districts. Building insulation and travel distances are critically important factors. Solar gains on the roofs are huge even if the built density is increased. [less ▲] Detailed reference viewed: 43 (7 ULg) Improving functional performance and muscle power 4-to-6 months after anterior cruciate ligament reconstruction; ; et al in Journal of Sports Science & Medicine [=JSSM] (2011), 10 Detailed reference viewed: 25 (3 ULg) Improving Generalization for 3D Object Categorization with Global Structure Histograms; ; Detry, Renaud et alin IEEE/RSJ International Conference on Intelligent Robots and Systems (2012) Detailed reference viewed: 16 (0 ULg) IMPROVING GENOMIC PREDICTION BY EUROGENOMICS COLLABORATION; ; et al in Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (2010) Detailed reference viewed: 52 (0 ULg) Improving groundwater flow model conceptualisation and calibration with electrical resistivity tomography and self-potential methodsRobert, Tanguy ; ; et alConference (2011, September 19) Developing a conceptual model for groundwater flow requires knowledge on the distribution of geological materials, which generally comes from geological observations on outcrops and boreholes, from the ... [more ▼] Developing a conceptual model for groundwater flow requires knowledge on the distribution of geological materials, which generally comes from geological observations on outcrops and boreholes, from the interpretation of hydraulic tests or from geophysical surveys. The identification of spatial structures in the subsurface, such as preferential flow paths created by fractured zones, is also critical in developing a reliable conceptual model but it is difficult to achieve. Geophysical methods have been widely used to map the subsurface distribution of geological materials. Recent developments in geophysics, such as the increased use of joint inversion of geophysical and hydrogeological data, have further allowed to quantify the hydraulic conductivity of geological materials. The objective of our work is to demonstrate that the electrical resistivity tomography (ERT) and the self-potential (SP) methods can improve both the conceptual model developed for groundwater flow systems and the calibration of the corresponding groundwater flow model. The use of the two geophysical methods, combined with a groundwater flow model, is presented for a fractured limestone aquifer. The self-potential method relies on passive measurements of the ambient electrical potential at ground surface or in boreholes. One of the mechanisms responsible for the measured signal measured is the transport of dissolved ions with groundwater flow. When this electrokinetic effect is the dominant contribution, the resulting signal is called the streaming potential and it contains information about groundwater fluxes that can be useful to calibrate groundwater flow models. The solution to the SP forward problem was added to the HydroGeoSphere model, which simulates 3D groundwater flow and solute transport in porous media, including fractured geological formations. With this addition, the model can calculate the self-potential signal associated with groundwater flow, given the distribution of Darcy fluxes resulting from the forward flow solution and the electrical resistivity that is, for example, outputted by ERT data inversion. Darcy fluxes are transformed into sources of electrical current by using the streaming potential coupling coefficient. This parameter can be measured either in the laboratory or in-situ from the self-potential signal between two locations where the depth of the water table is known, such as observation wells. We used here both ERT and SP to develop a conceptual model for groundwater flow in a typical carboniferous limestone syncline in South Belgium. The rolling topography in the investigated area results from a succession of calcareous valleys (synclines) and sandstone crests (anticlines). The calcareous synclines form aquifers that are very complex since they are highly fractured and even karstified. A typical calcareous syncline has a width of about 800 m and, using ERT, we could subdivide the syncline into zones of different hydraulic conductivity, based on the degree of fracturation. The zones are oriented along the axis of the syncline and their width ranges between 10 and 40 m. The ERT profiles showed that there is a highly conductive zone, in terms of electrical conductivity, near the syncline fold axis. That zone is interpreted as being highly fractured. Other conductive zones are located symmetrically along both flanks of the calcareous syncline, with respect to the syncline fold axis. The main flow direction is along the axis of the syncline, towards a nearby river. The SP raw signals also showed that, locally, there is a second flow component perpendicular to the axis of the syncline, with groundwater flowing from the flanks of the syncline towards the axis. The conceptual groundwater flow model developed here includes the zones identified with ERT, which were then incorporated into the numerical model. The SP signals were inverted with PEST to calibrate the hydraulic conductivity value of the different zones. HydroGeoSphere was therefore used to simulate first groundwater flow and then the associated self-potential signals in an iterative process. At the start of an iteration, HydroGeoSphere solves the groundwater flow equation given one particular set of hydraulic conductivities and calculates the resulting Darcy fluxes. These fluxes are transformed into sources of electrical current assuming that the electrokinetic effect is the dominant contribution of the SP signals. HydroGeoSphere then calculates the distribution of self-potential given the sources of electrical current and the distribution of electrical resistivity. The hydraulic conductivity values of the zones are then modified and the iteration continues until the model reproduces the measured self-potential signal. [less ▲] Detailed reference viewed: 62 (5 ULg) Improving Groundwater Flow Model Conceptualisation and Calibration with ERT and Self-potential MethodsRobert, Tanguy ; ; et alin EarthDoc - Near Surface 2011 – 17th European Meeting of Environmental and Engineering Geophysics (2011, September 14) The self-potential (SP) method relies on passive measurements of the ambient electrical potential at the ground surface or in boreholes. When the electrokinetic effect is the dominant contribution, the ... [more ▼] The self-potential (SP) method relies on passive measurements of the ambient electrical potential at the ground surface or in boreholes. When the electrokinetic effect is the dominant contribution, the resulting signal is called the streaming potential and contains information about groundwater fluxes that can be useful for calibration of groundwater flow models. The streaming potential forward equation was implemented in the HydroGeoSphere model, which simulates 3D groundwater flow and solute transport in porous media, including fractured geological formations. HydroGeoSphere is able to calculate the streaming potential given a distribution of Darcy velocity and electrical resistivity. Since groundwater flow modelling relies on a conceptual model, prior information on the distribution of the geological units and hydraulic conductivity at the site is mandatory. However, this information is often scarce or missing. In this work, we use the electrical resistivity tomography (ERT) and the SP methods as an additional source of information for building the groundwater flow model. ERT is used to identify the location of fractured zones in a fractured and karstified calcareous aquifer of South Belgium. The SP signal is used with PEST in order to calibrate the groundwater flow model and better constrain the hydraulic conductivity of the fractured zones. [less ▲] Detailed reference viewed: 40 (7 ULg) Improving in-row weed detection in multispectral stereoscopic imagesPiron, Alexis ; Leemans, Vincent ; Lebeau, Frédéric et alin Computers & Electronics in Agriculture (2009), 69 Previous research has shown that plant height and spectral reflectance are relevant features to classify crop and weeds in organic carrots: classification based on height gave a classification accuracy ... [more ▼] Previous research has shown that plant height and spectral reflectance are relevant features to classify crop and weeds in organic carrots: classification based on height gave a classification accuracy (CA) of up to 83% while classification based on a combination of three multispectral bands gave a CA of 72%. The first goal of this study was to examine the simultaneous use of both height and multispectral parameters. It was found that classification rate was only slightly improved when using a feature set comprising both height and multispectral data (2%). The second goal of this study was to improve the detection method based on plant height by setting an automatic threshold between crop and weeds heights, in their early growth stage. This threshold was based on crop row determination and peak detection in plant height probability density function, corresponding to the homogeneous crop population. Using this method, the CA was 82% while the CA obtained with optimal plant height limits is only slightly higher at 86%. [less ▲] Detailed reference viewed: 70 (19 ULg) Improving Interferometric Null Depth Measurement with statistics : theory and first results with the Palomar Fiber NullerHanot, Charles ![]() Scientific conference (2010, June) A new "self-calibrated" statistical analysis method has been developed for reducing nulling interferometry data. The idea is to use the statistical distributions of the fluctuating null depths and beam ... [more ▼] A new "self-calibrated" statistical analysis method has been developed for reducing nulling interferometry data. The idea is to use the statistical distributions of the fluctuating null depths and beam intensities to retrieve the astrophysical null depth (or equivalently the object's visibility) in the presence of fast instrumental fluctuations. The approach yields an accuracy much better (at least ten times) than is presently possible with standard data reduction methods, because the null depth accuracy is no longer limited by the magnitude of the phase and intensity errors but by uncertainties on their probability distributions. This approach was tested on the sky with the two-aperture fiber nulling instrument mounted on the Palomar Hale telescope. Using our new data analysis approach alone - and no observations of calibrators - , we find that astrophysical null depths lower than 0.001 can be reliably measured in the near infrared, with error bars as low as a few 10^-4. This statistical analysis is not specific to our instrument and may be applicable to other interferometers. Therefore I'll also present the application of this method to the measurement of Cepheids angular diameters at the VLTI with a sensitivities down to ~60µas. [less ▲] Detailed reference viewed: 19 (2 ULg) Improving Interferometric null depth measurements using statistical distributions: theory and first results with the Palomar Fiber NullerHanot, Charles ; ; et alin Astrophysical Journal (2011), 729(2), 110 A new "self-calibrated" statistical analysis method has been developed for the reduction of nulling interferometry data. The idea is to use the statistical distributions of the fluctuating null depth and ... [more ▼] A new "self-calibrated" statistical analysis method has been developed for the reduction of nulling interferometry data. The idea is to use the statistical distributions of the fluctuating null depth and beam intensities to retrieve the astrophysical null depth (or equivalently the object's visibility) in the presence of fast atmospheric fluctuations. The approach yields an accuracy much better (about an order of magnitude) than is presently possible with standard data reduction methods, because the astrophysical null depth accuracy is no longer limited by the magnitude of the instrumental phase and intensity errors but by uncertainties on their probability distributions. This approach was tested on the sky with the two-aperture fiber nulling instrument mounted on the Palomar Hale telescope. Using our new data analysis approach alone—and no observations of calibrators—we find that error bars on the astrophysical null depth as low as a few 10–4 can be obtained in the near-infrared, which means that null depths lower than 10–3 can be reliably measured. This statistical analysis is not specific to our instrument and may be applicable to other interferometers. [less ▲] Detailed reference viewed: 36 (6 ULg) Improving mini-livestock production in Kinshasa : example of a research project financed by the CUD.Bindelle, Jérôme ![]() Conference (2006, November 16) Detailed reference viewed: 19 (1 ULg) Improving model-based cardiac diagnosis with an ECG; ; Desaive, Thomas et alin Proceedings (CD) of the 4th European Congress for Medical and Biomedical Engineering (eMBEC 2008), Antwerp, Belgium, Nov 23-27, 2008 (2008) Detailed reference viewed: 15 (0 ULg) Improving Null Depth Measurement with statistics : theory and first results with the Palomar Fiber NullerHanot, Charles ![]() Scientific conference (2010, February) A unique statistical data analysis method has been developed for reducing nulling interferometry data. The idea is to make use of the statistical distributions of the fluctuating null depths and beam ... [more ▼] A unique statistical data analysis method has been developed for reducing nulling interferometry data. The idea is to make use of the statistical distributions of the fluctuating null depths and beam intensities to retrieve the astrophysical null depth in the presence of fluctuations. The approach yields an accuracy much better than is possible with standard data reduction methods, because the accuracy of the null depth is not limited by the sizes of the phase and intensity errors but by the uncertainties on these errors. The result is an improvement in the instrumental null depth measurement limit of roughly an order of magnitude. We show in this paper that broadband null depths of 10-4 can be measured in the lab with our infrared Fiber Nuller without achromatic phase shifters. On sky results are also dramatically improved, with measured contrasts up to 5 x 10-4 with our instrument mounted on the Hale telescope at the Palomar Observatory. This statistical analysis is not specific to our instrument and may be applicable to other interferometers. [less ▲] Detailed reference viewed: 8 (4 ULg) Improving our understanding of early biosphere evolution and diversification, using a combination of microscopy and microchemistry of single acritarchs.Javaux, Emmanuelle ![]() Conference (2004) Detailed reference viewed: 2 (0 ULg) Improving Overlay Routing scalability using an Internet Coordinate SystemCantin, François ![]() Doctoral thesis (2012) Nowadays lots of real time applications are used over the Internet: voice over IP, online video games, etc. For these applications the performance of the path between two communicating nodes is critical ... [more ▼] Nowadays lots of real time applications are used over the Internet: voice over IP, online video games, etc. For these applications the performance of the path between two communicating nodes is critical. Particularly, most of these applications require small delays between communicating nodes. For these applications, the problem is that the choice of the routes in the Internet is generally not very much guided by performance concerns. It is well known that for lots of node pairs the default Internet path is suboptimal and there exists an alternative path providing a smaller delay between these nodes. In this thesis, we mainly address the problem of finding these alternative paths. Replacing Internet's routing philosophy in order to obtain default paths providing the best performance possible should be a good theoretical solution. However, replacing Internet's routing philosophy by a brand new one is very difficult or even impossible in practice. Another solution is to leave the default routes as they are and to perform indirect routing. Consider a path AB between two nodes A and B. If a path ACB has a smaller delay than AB, then, instead of sending data directly to B, A can send them to C and C can relay them to B. This is called overlay routing because we manage the routing in an overlay network built on top of the Internet (i.e. at the application level). Overlay routing is a promising way to improve the quality of service in the Internet but its main drawback is its poor scalability: measuring the characteristics of the paths, exchanging the measurement results between the nodes and computing the best routes in the full mesh overlay network generally implies a high consumption of resources. In this thesis, our main contribution is the design of a lightweight one-hop overlay routing mechanism improving the latencies: we define criteria that rely on the information provided by an Internet Coordinate System (ICS) in order to provide a small set of potential one-hop shortcuts for any given path in the network with small costs. Our best criterion does not guarantee to find the best shortcut for any given path in a network but, even in networks with hundreds or thousands of nodes, it will restrict the search for potential shortcuts to about one or two percent of the total number of nodes. Even if the estimation-based approach of overlay routing is our main contribution, this thesis also presents general results about routing shortcuts and Internet Coordinate Systems. For an ICS, a routing shortcut is a Triangle Inequality Violation (TIV) and it is often a big problem. Indeed, a TIV will cause estimation errors since, in this particular case, nodes cannot be embedded into any metric space. In this thesis, we study TIVs existing in the Internet and their impact on the Vivaldi ICS. This analysis leads to two contributions. Firstly, we propose criteria to establish, with a high probability of success, if there exists a shortcut or not for a given path AB. Secondly, we propose a Two-Tier architecture for ICSes that mitigates the effect of TIVs on the estimations. Finally, this thesis also discusses the efficiency of two solutions proposed in the literature in order to obtain an ICS that can deal with TIVs. The first one consists in applying non-linear transformations to delays before trying to embed them in a metric space. The second one consists in modelling the estimation problem as a matrix completion problem in order to completely avoid the embedding in a metric space. [less ▲] Detailed reference viewed: 105 (16 ULg) Improving physical education teachers’ action with overweight studentsCloes, Marc ![]() in Revista Motricidade (2012), 8(S1), 3-4 Nowadays, overweight is one of the most important plagues and many authors believe that the fast increase of this phenomenon during the last decades can be considered as a global epidemic. School has been ... [more ▼] Nowadays, overweight is one of the most important plagues and many authors believe that the fast increase of this phenomenon during the last decades can be considered as a global epidemic. School has been identified as one of the pillars of the necessary multisectorial approach that must be implemented to fight against this ineworable trend. ... [less ▲] Detailed reference viewed: 56 (13 ULg) Improving Public Outcomes in Developing Countries. Application of Incentive Theory to Foreign Aid and Public Resource ManagementPaul, Elisabeth ![]() Doctoral thesis (2006) This Ph.D. thesis applies incentive theory – and especially, when relevant, the principal-agent theory – to several aspects of public resource management in developing countries. It uses analytical models ... [more ▼] This Ph.D. thesis applies incentive theory – and especially, when relevant, the principal-agent theory – to several aspects of public resource management in developing countries. It uses analytical models taking account of realistic constraints of these economies. The first part of the dissertation studies the incentive problems associated with foreign aid management. The second part deals with some “domestic” problems linked with public resource management in those countries. Chapter 2 proposes an analytical framework to guide the design of public expenditure management systems (more precisely, the type of controls a Ministry of Finance could apply to line ministries) according to country-specific parameters. Chapter 3 suggests that, when traditional incentives (sanctions and rewards) fail – which may be the case, at least in the short run, in many developing countries) – increasing public affairs transparency can help improve public outcomes, notably through relying on "informal" accountability systems. Chapter 4 reviews the literature and then draws some important results as to the motivation of public agents. In addition to specific results on the issues targeted in each chapter, this dissertation offers a coherent analytical picture of public resource management in developing countries, and a number of general lessons may be drawn. Improving public outcomes must indeed pass through providing public agents with adequate incentives, so as to align their interests with their principal’s. Different tools may be used, depending on their cost-effectiveness: e.g., controls, incentive premiums, factors acting on non-materialistic motivations or on informal accountability mechanisms. The thesis also proposes some lessons as to the sequencing of reforms dealing with public resource management. [less ▲] Detailed reference viewed: 13 (0 ULg) Improving quality of life in patients with peripheral arterial disease: an important goal.Kolh, Philippe ![]() in European Journal of Vascular and Endovascular Surgery (2010), 40(5), 626-7 Detailed reference viewed: 5 (0 ULg) Improving Retouched Bloom Filter for Trading Off Selected False Positives Against False NegativesDonnet, Benoît ; ; in Computer Networks (2010), 54(18), 3373-3387 Where distributed agents must share voluminous set membership information, Bloom fil- ters provide a compact, though lossy, way for them to do so. Numerous recent networking papers have examined the trade ... [more ▼] Where distributed agents must share voluminous set membership information, Bloom fil- ters provide a compact, though lossy, way for them to do so. Numerous recent networking papers have examined the trade-offs between the bandwidth consumed by the transmis- sion of Bloom filters, and the error rate, which takes the form of false positives. This paper is about the retouched Bloom filter (RBF). An RBF is an extension that makes the Bloom fil- ter more flexible by permitting the removal of false positives, at the expense of introducing false negatives, and that allows a controlled trade-off between the two. We analytically show that creating RBFs through a random process decreases the false positive rate in the same proportion as the false negative rate that is generated. We further provide some simple heuristics that decrease the false positive rate more than the corresponding increase in the false negative rate, when creating RBFs. These heuristics are more effective than the ones we have presented in prior work. We further demonstrate the advantages of an RBF over a Bloom filter in a distributed network topology measurement application. We finally discuss several networking applications that could benefit from RBFs instead of standard Bloom filters. [less ▲] Detailed reference viewed: 8 (2 ULg) IMPROVING SOIL ORGANIC CARBON (SOC) PREDICTION BY FIELD SPECTROMETRY IN BARE CROPLAND BY REDUCING THE DISTURBING EFFECT OF SOIL ROUGHNESSDenis, Antoine ; Tychon, Bernard ; et alin Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009 (2009, July 17) The spatial estimation of Soil Organic Carbon (SOC) at large scale in outdoor condition is an important issue. It has been largely demonstrated that diffuse reflectance spectroscopic techniques, are ... [more ▼] The spatial estimation of Soil Organic Carbon (SOC) at large scale in outdoor condition is an important issue. It has been largely demonstrated that diffuse reflectance spectroscopic techniques, are efficient for SOC determination in field conditions. However these methods are influenced by disturbing factors such as soil water content, vegetation residues and surface roughness, the later being the object of this study. Our laboratory experiments showed that the accuracy of SOC prediction from shadowed soil samples with spectroscopy techniques decreases with increasing soil shadow. In this study a new methodology using a digital camera for identifying and correcting the effect of soil shadow on field reflectance spectra measured with an Analytical Spectral Devices (ASD) during field campaign in bare crop lands has been elaborated and tested. Results showed that the proposed shadow correction method enables improving significantly SOC prediction accuracy and performs better than traditionally used methods consisting in automatic signal processing. [less ▲] Detailed reference viewed: 80 (28 ULg) |
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