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See detailA Data Mining Analysis Applied to a Straightening Process Database
Caprace, Jean-David ULg; Losseau, N.; Bair, Frédéric ULg et al

in Ship Technology Research = Schiffstechnik (2007), 54(4), 177-183

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See detailA Data Mining Analysis Applied to a Straightening Process Database
Caprace, Jean-David ULg; Losseau, Nicolas ULg; Archambeau, Dominique et al

in Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT) (2007, April)

The paper presents the results of a data mining analysis aiming to improve the cost knowledge of the labour intensive straightening process. The data mining approach yields a formula linking the ... [more ▼]

The paper presents the results of a data mining analysis aiming to improve the cost knowledge of the labour intensive straightening process. The data mining approach yields a formula linking the straightening cost to the sections scantlings (plate thickness, dimension and inter-distance of longitudinal stiffeners, dimension and inter-distance of transversal frames) and to other section characteristics. [less ▲]

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See detailA Data Mining Analysis Applied to a Straightening Process Database
Caprace, Jean-David ULg; Losseau, Nicolas; Bair, Frédéric ULg et al

in Ship Technology Research = Schiffstechnik (2007), 54(4), 177-183

The complexity of modern manufacturing processes in a highly competitive environment forces the manufacturers to invest massively in automation and monitoring systems. The large data flows from these new ... [more ▼]

The complexity of modern manufacturing processes in a highly competitive environment forces the manufacturers to invest massively in automation and monitoring systems. The large data flows from these new installations are sources of valuable and hidden knowledge that is so far hardly used. Data mining methods through integrated data analysis tools give a solution to this situation, allowing easy retrieval of knowledge starting from a data base. This is also a unique opportunity to learn faster about the process and to detect hidden and complex relationships between parameters involved. Within this framework we have decided to apply this data analysis method to the straightening process in shipbuilding. We refer to Caprace et al. (2007) for additional illustrations. In shipbuilding, the assembly of elements by welding involves temperature gradients within the ma- terial. These cause deformations which sometimes have to be reduced to obtain an acceptable surface flatness. The straightening process to eliminate these distortions for esthetical or functional reasons is labour intensive. Estimating the straightening impact on the production workload is interesting in the context of production simulation, cost assessment of ship hull, structure optimization, design for production, etc. To reach these objectives, the idea was to elaborate, through a data mining approach, a formula linking the straightening cost to the sections scantlings (plate thickness, dimension and inter-distance of longitudinal stiffeners, dimension and inter-distance of transversal frames) and to other section characteristics. This paper describes each stage of the methodology: data description, analysis of data quality, data exploration and finally choice of discriminatory attributes and the generation of the data-driven models. [less ▲]

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See detailA Data Mining Analysis to evaluate the additional workloads caused by welding distortions
Losseau, Nicolas ULg; Caprace, Jean-David ULg; Aracil Fernandez, Francisco et al

in MARSTRUCT'09 (2009, March)

This paper presents a way to minimize cost in shipbuilding industry by using the results of a data mining analysis aiming to improve the cost knowledge of the additional operations caused by welding ... [more ▼]

This paper presents a way to minimize cost in shipbuilding industry by using the results of a data mining analysis aiming to improve the cost knowledge of the additional operations caused by welding distortions. This statistical analysis had the scope to establish assessment formulas of the supplementary workloads in function of scantlings and welding distortions. Those formulas can be useful to evaluate the profitability of new welding devices and can improve the research in the following domains: production simulation, cost assessment of ship hull, structure optimization, design for production, etc. [less ▲]

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See detailData Mining in Ship Construction and operation
Caprace, Jean-David ULg

Conference (2011, January)

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See detailData mining tools and application in power system engineering
Olaru, Cristina; Geurts, Pierre ULg; Wehenkel, Louis ULg

in Proceedings of the 13th Power System Computation Conference, PSCC99 (1999)

The power system field is presently facing an explosive growth of data. The data mining (DM) approach provides tools for making explicit some implicit subtle structure in data. Applying data mining to ... [more ▼]

The power system field is presently facing an explosive growth of data. The data mining (DM) approach provides tools for making explicit some implicit subtle structure in data. Applying data mining to power system engineering is an iterative and interactive process, requiring an acquainted user with the application specifics. The paper describes data mining tools like statistical methos, visualization, machine learning and neural networks, exemplifying by results obtained with a DM software developed for dynamic security assessment studies. Power system engineering applications where data mining would be useful are reviewed in the second part of the paper. [less ▲]

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See detailData networks integration
De Praetere, Julien; Maricau, Pḧilippe; Van Droogenbroeck, Marc ULg

in 37th European Telecommunications Congress, Volume 17 (1998, August)

This paper discusses the role of data networks integration on an asynchronous transfer mode (ATM) core and compares the advantages achieved by the usage of ATM with those given by emerging technologies ... [more ▼]

This paper discusses the role of data networks integration on an asynchronous transfer mode (ATM) core and compares the advantages achieved by the usage of ATM with those given by emerging technologies such Internet protocol (IP) over synchronous digital hierarchy (SDH) (giga-routers). [less ▲]

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See detailData normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis
Azrour, Samir ULg; Pierard, Sébastien ULg; Geurts, Pierre ULg et al

in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) (2014, April)

Gait impairment is considered as an important feature of disability in multiple sclerosis but its evaluation in the clinical routine remains limited. In this paper, we assess, by means of supervised ... [more ▼]

Gait impairment is considered as an important feature of disability in multiple sclerosis but its evaluation in the clinical routine remains limited. In this paper, we assess, by means of supervised learning, the condition of patients with multiple sclerosis based on their gait descriptors obtained with a gait analysis system. As the morphological characteristics of individuals influence their gait while being in first approximation independent of the disease level, an original strategy of data normalization with respect to these characteristics is described and applied beforehand in order to obtain more reliable predictions. In addition, we explain how we address the problem of missing data which is a common issue in the field of clinical evaluation. Results show that, based on machine learning combined to the proposed data handling techniques, we can predict a score highly correlated with the condition of patients. [less ▲]

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See detailData processing of vibrational chemical imaging for pharmaceutical applications.
Sacre, Pierre-Yves ULg; De Bleye, Charlotte ULg; Chavez, Pierre-François ULg et al

in Journal of Pharmaceutical & Biomedical Analysis (in press)

Vibrational spectroscopy (MIR, NIR and Raman) based hyperspectral imaging is one of the most powerful tools analyze pharmaceutical preparation. Indeed, it combines the advantages of vibrational ... [more ▼]

Vibrational spectroscopy (MIR, NIR and Raman) based hyperspectral imaging is one of the most powerful tools analyze pharmaceutical preparation. Indeed, it combines the advantages of vibrational spectroscopy to imaging techniques and allows therefore the visualization of distribution of compounds, crystallization processes. However, these techniques provide a huge amount of data that must be processed to extract the relevant information. This review presents fundamental concepts of hyperspectral imaging, the basic theory of the most used chemometric tools used to pre-process, process and post-process the generated data. The last part of the present paper focuses on pharmaceutical applications of hyperspectral imaging and highlights the data processing approaches to enable the reader making the best choice among the different tools available. [less ▲]

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See detailData quality of the serum analysis of PCDD, PCDF and PCB in the French dioxin and incinerators study
Pascal, M.; Eppe, Gauthier ULg; Zeghnoun, A. et al

in Organohalogen Compounds (2007), 69

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See detailData reconciliation and sampling protocol design, case of a paper deinking process
Brown, David; Marechal, François; Heyen, Georges ULg et al

in Paperi Ja Puu-Paper and Timber (2004), 86(8), 565-570

An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking mill, by combining control room measurements and process design specifications. An ... [more ▼]

An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking mill, by combining control room measurements and process design specifications. An optimal sampling protocol to validate the model by using only control room measurements has been determined by identifying, with genetic algorithm programming, the additional sampling points and corresponding sensors required to compensate for the lack of redundant measurements. [less ▲]

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See detailData validation and missing data reconstruction using self-organizing map for water treatment
Lamrini, B, Lakhal, E K; Wehenkel, Louis ULg

in Neural Computing & Applications (2011), 20(4), 575-588

Applications in the water treatment domain generally rely on complex sensors located at remote sites. The processing of the corresponding measurements for generating higher-level information such as ... [more ▼]

Applications in the water treatment domain generally rely on complex sensors located at remote sites. The processing of the corresponding measurements for generating higher-level information such as optimization of coagulation dosing must therefore account for possible sensor failures and imperfect input data. In this paper, selforganizing map (SOM)-based methods are applied to multiparameter data validation and missing data reconstruction in a drinking water treatment. The SOM is a special kind of artificial neural networks that can be used for analysis and visualization of large high-dimensional data sets. It performs both in a nonlinear mapping from a high-dimensional data space to a low-dimensional space aiming to preserve the most important topological and metric relationships of the original data elements and, thus, inherently clusters the data. Combining the SOM results with those obtained by a fuzzy technique that uses marginal adequacy concept to identify the functional states (normal or abnormal), the SOM performances of validation and reconstruction process are tested successfully on the experimental data stemming from a coagulation process involved in drinking water treatment. [less ▲]

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See detailData-model comparison using fuzzy logic in paleoclimatology.
Guiot, Joël; Boreux, Jean-Jacques ULg; Braconnot, P. et al

in Climate Dynamics (1999), 15(8), 569-581

Until now, most paleoclimate model-data comparisons have been limited to simple statistical evaluation and simple map comparisons. We have applied a new method, based on fuzzy logic, to the comparison of ... [more ▼]

Until now, most paleoclimate model-data comparisons have been limited to simple statistical evaluation and simple map comparisons. We have applied a new method, based on fuzzy logic, to the comparison of 17 model simulations of the mid-Holocene (6 ka BP) climate with reconstruction of three bioclimatic parameters (mean temperature of the coldest month, MTCO, growing degree-days above 5 °C, GDD5, precipitation minus evapotranspiration, P−E) from pollen and lake-status data over Europe. With this method, no assumption is made about the distribution of the signal and on its error, and both the error bars related to data and to model simulations are taken into account. Data are taken at the drilling sites (not using a gridded interpolation of proxy data) and a varying domain size of comparison enables us to make the best common resolution between observed and simulated maps. For each parameter and each model, we compute a Hagaman distance which gives an objective measure of the goodness of fit between model and data. The results show that there is no systematic order for the three climatic parameters between models. None of the models is able to satisfactorily reproduce the three pollen-derived data. There is larger dispersion in the results for MTCO and P−E than for GDD5. There is also no systematic relationship between model resolution and the Hagaman distance, except for P−E. The more local character of P−E has little chance to be reproduced by a low resolution model, which can explain the inverse relationship between model resolution and Hagaman distance. The results also reveal that most of the models are better at predicting 6 ka climate than the modern climate. [less ▲]

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See detailDatabase "SIGMA Pro" information system and bibliographical management of active substances of plant protection products and biocides.
Rung, J.; Tricot, B.; Copin, A. et al

in Toegepaste Biologische Wetenschappen) (2001), 66(2b),

Detailed reference viewed: 5 (0 ULg)
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See detailDatabase and general modelling concepts for groundwater modelling in the SQUASH Project
Orban, Philippe ULg; Popescu, Ileana-Cristina; Ruthy, Ingrid ULg et al

in Hidrotehnica (2004), 49(9-10), 51-57

Detailed reference viewed: 22 (3 ULg)
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See detailA database of Ap stars
Renson, Pierre ULg; Kobi, D.; North, P.

in Astronomy and Astrophysics. Supplement Series (1991), 89

A database for 3195 Ap stars, which can be used on an IBM-compatible personal computer, is described. It is essentially based on Renson's general catalogue of Ap and Am stars, but contains much additional ... [more ▼]

A database for 3195 Ap stars, which can be used on an IBM-compatible personal computer, is described. It is essentially based on Renson's general catalogue of Ap and Am stars, but contains much additional information. It operates within the Dbase III Plus system. [less ▲]

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See detailA database of astrophysical interest covering the UV region
Biémont, Emile ULg; Quinet, Pascal ULg

in Journal of Electron Spectroscopy & Related Phenomena (2005), 144-147

Our knowledge of the spectra of the rare-earths is still very poor due to the fragmentary laboratory analyses, on the one hand, and to the complexity of the configurations involving unfilled 4f shells, on ... [more ▼]

Our knowledge of the spectra of the rare-earths is still very poor due to the fragmentary laboratory analyses, on the one hand, and to the complexity of the configurations involving unfilled 4f shells, on the other hand. The database DREAM (Database on Rare Earths at Mons University) contains presently radiative parameters (wavelengths, levels, transition probabilities, Land´e factors) for over 60 000 transitions and is continuously updated. The different tables, which cover not only the UV region, but also the visible and near infrared spectral ranges, which are located on the web page: http://www.umh.ac.be/∼astro/dream.shtml. Up to now, data are tabulated for the following ions : La III, Ce II, Ce III, Pr II, Pr III, Nd II, Nd III, Sm II, Sm III, Eu III, Gd III, Tb III, Dy III, Ho III, Er II, Er III, Tm II, Tm III, Yb II, Yb III, Yb IV, Lu I, Lu II and Lu III. Some information is also provided for Th III. The relevant references (about 40 papers), summarizing and discussing the new experimental and theoretical results obtained during the past few years, are given on this web site. [less ▲]

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See detailThe Database of Egyptian Building Envelopes (DEBE): A database for building energy simulations
Attia, Shady ULg; Wanas, O.

in Proceedings of SimBuild 2012 (2012, August 01)

This paper is a part of an ongoing research that aims to describe the influence of building constructions on energy consumption through a survey that is conducted in Cairo and its surrounding residential ... [more ▼]

This paper is a part of an ongoing research that aims to describe the influence of building constructions on energy consumption through a survey that is conducted in Cairo and its surrounding residential neighbourhoods. An inventory of the selected neighbourhoods envelope constructions and their characteristics is described in accordance with the new Egyptian energy standard for residential buildings. After thorough screening and classification, the constructions are digitalized and uploaded in an online open source database where constructions properties are listed, made available in .idf and .ddb formats (EnergyPlus and DesignBuilder respectively) and illustrated graphically. This Database of Egyptian Building Envelopes (DEBE) facilitates the input modelling of constructions and enables users to explore standard complying alternative constructions. [less ▲]

Detailed reference viewed: 22 (6 ULg)