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See detailPerformance monitoring of an industrial boiler: classification of relevant variables with Random Forests
Sainlez, Matthieu ULg; Heyen, Georges ULg

in Pierucci, Sauro; Ferraris, Guido Buzzi (Eds.) 20th European Symposium on Computer Aided Process Engineering – ESCAPE20 (2010)

A data mining methodology, the random forests, is applied to analyze pollutant emission from the recovery boiler of a Kraft pulping process. Starting from a large database of raw process data, the goal is ... [more ▼]

A data mining methodology, the random forests, is applied to analyze pollutant emission from the recovery boiler of a Kraft pulping process. Starting from a large database of raw process data, the goal is to identify the input variables that explain the most output variations. [less ▲]

Detailed reference viewed: 36 (11 ULg)
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See detailPerformance Monitoring Systems in Healthcare Organizations The Managerial Perception of Uncertainty in Volatile Environments
Rouhana, Rima; Van Caillie, Didier ULg

in IAMB (Ed.) Proceedings of the 10th IAMB Conference - "Management Challenges in Global Economy" (2011, June)

Monitoring performance in healthcare organizations appears evolving drastically over time, due to a continuous search for better quality, efficiency and timeliness. As a result, the usefulness of ... [more ▼]

Monitoring performance in healthcare organizations appears evolving drastically over time, due to a continuous search for better quality, efficiency and timeliness. As a result, the usefulness of traditional management/performance control systems in such organizations is questioned and a focus is then made on the context in which each organization is operating. In a contingent-based perspective, a limited number of qualitative and quantitative empirical studies examine how some major contingent variables (nature of the organization, size, structure…) influence both the managerial decision-making process and the management control process in healthcare organizations. But, while largely integrated in other managerial contexts (Kabwigiri and Van Caillie, 2000), most of them ignore the variable “uncertainty” and how uncertainty is perceived by managers in healthcare organizations. So, the prime interest of our empirical study is to appraise how uncertainty is appraised by managers in volatile environments. To investigate this subject further, we rely on seminal studies that link between the influence of the organizational attributes (structure, size, level of technology), and their effect on the managerial decisions-making (personal profile and perception) of a suitable management control system (MCS). Our methodology rests on a “qualitative comparative approach” of thirty case studies, lead in two heterogeneous environments (Belgium and Lebanon). Such method allows us to validate our theoretical framework with qualitative case studies collected via semi-structured questionnaire. Our findings provide us with a dialogue between a single (in-depth) case study exploring the phenomenon and a qualitative comparative approach. Thus, we gain understanding of the causal mechanisms and processes, as well as of the core determinants of the healthcare managerial adoption of performance monitoring systems (PMS). [less ▲]

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See detailPerformance of a wheelchair-user population on a running progressive maximal field test
Vanderthommen, Marc ULg; Zatta, S.; Crielaard, Jean-Michel ULg

in Vanderwoude, L.H.; Hopman, M.T.; Vankemenade, C.H. (Eds.) Biomedical aspects of manuel wheelchair propulsion. The State of the Art II (1999)

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See detailPerformance of Belgian general practitioners: a "best practice approach based on patient level data"
Fecher-Bourgeois, Fabienne ULg; Gillet, Pierre ULg

in Cahiers Economiques de Bruxelles (2000), 167(3ème trimestre 2000), 381-396

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See detailPerformance of belgian hospitals
Fecher-Bourgeois, Fabienne ULg

Conference (1993, September)

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See detailPerformance of Belgian hospitals: a frontier approach
Fecher-Bourgeois, Fabienne ULg; Bosmans, Nathalie

in Health Economics (1995), 4,5(Sep-oct 1995), 389-397

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See detailPerformance of creatinine and cystatin C-based glomerular filtration rate estimating equations in a European HIV-positive cohort.
Gagneux-Brunon, Amandine; DELANAYE, Pierre ULg; Maillard, Nicolas et al

in AIDS (2013)

Detailed reference viewed: 12 (0 ULg)
See detailThe performance of CTAs in changing market conditions
Hübner, Georges ULg; Papageorgiou, Nicolas

in Gregoriou, Greg; Karavas, V. N.; L'habitant, François-Serge (Eds.) et al Commodity Trading Advisors: Risk, Performance Analysis and Selection (2004)

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See detailPerformance of GC-LRMS/MS and GCxGC methods for compliance monitoring of the PCDD/F-TEQ and the total TEQ in food and feed
Van Cleuvenbergen, Rudy; Santos, Javier; Eppe, Gauthier ULg et al

in Organohalogen Compounds (2005), 67

Detailed reference viewed: 33 (0 ULg)
See detailPerformance of Global Mutual Funds
Sougné, Danielle ULg

in Filbeck, Greg; Baker, Kent (Eds.) Mutual Funds-building blocks for Investment Portfolios (in press)

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See detailPerformance of leaf wetness sensor used in winter wheat disease management
Mahtour, Abdeslam ULg; El Jarroudi, Moussa ULg; Hoffmann, Lucien et al

Poster (2011, May 26)

Wetness on crop leaves has particular epidemiological significance because many fungal diseases affect plants only when free moisture is present on leaves. The leaf wetness sensor detects the presence of ... [more ▼]

Wetness on crop leaves has particular epidemiological significance because many fungal diseases affect plants only when free moisture is present on leaves. The leaf wetness sensor detects the presence of wetness on a leaf’s surface, enabling researchers and producers to forecast disease and protect plant canopies, and consequently to optimize fungicide application and often reduce environmental load. This research project aimed at better understanding the leaf wetness duration and its influence in winter wheat disease. Measurement of surface wetness duration by three electronic flat-plate sensors (Model 237-Campbell Scientific, Inc) in wheat fields were compared with tactile and visual observations in replicated field experiments at the site of Arlon (Belgium) during the period May-July 2006 and April-July 2007. Performances of the sensor were evaluated against SWEB model outputs and visual observations of disease symptoms. On the field, dew-onset and dry-off of wetness on leaves were observed visually (with a flash light for dew-onset) at 15-minute intervals. Each sensor was placed close the flag leaf. For the three sensors, the two dew-onset and dry-off times measured in both 2006 and 2007 crop seasons gave a leaf wetness duration (LWD) which was on average one hour less than visual observations. In order to establish a relationship between the surface wetness periods and wheat foliar diseases, LWD was compared with the Septoria leaf blotch (SLB) development risk (main winter wheat disease). A minimal surface wetness duration favourable to infection for SLB was established. [less ▲]

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See detailPerformance of Least Squares and Kalman Filter Algorithms for Orbit Determination Using Single- and Multi-Station Tracking of Geostationary Satellites (AAS 98-368)
Halain, Jean-Philippe ULg; Welter, T.; Francken, P. et al

in Spaceflight Dynamics 1998, Volume 100 Part 1, Advances in Astronautical Sciences (1998)

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See detailPerformance of lung recruitment model in healthy anesthetised pigs
Chiew, YS; LAMBERMONT, Bernard ULg; JANSSEN, Nathalie ULg et al

in Proceedings of the World Congress on Medical Physics and Biomedical Engineering 2012 (2012)

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See detailThe performance of mobile devices' inertial measurement unit for the detection of cattle's behaviors on pasture
Andriamandroso, Andriamasinoro ULg; Dumont, Benjamin ULg; Lebeau, Frédéric ULg et al

Conference (2014, July 21)

Over the past decade, the Precision Livestock Farming (PLF) concept has taken a considerable place in the development of accurate methods for a better management of farm animals, as Precision Agriculture ... [more ▼]

Over the past decade, the Precision Livestock Farming (PLF) concept has taken a considerable place in the development of accurate methods for a better management of farm animals, as Precision Agriculture has done for crop production. Mass consumption mobile devices have nowadays the possibility to record accurately user movements with their Inertial Measurement Unit (IMU). We used iPhone 4S to detect accurately cattle behaviors such as grazing and ruminating with the aim of performing a precision grazing management on the near future. Results showed accuracies ranging between 84% and 100% when detecting these two major behaviors by analyzing recorded raw signals in the time-domain. Ongoing research tries to link these behaviors to different pasture characteristics and performs a refined signal processing analysis for a better monitoring of some possible behavioral changes. [less ▲]

Detailed reference viewed: 43 (17 ULg)