1,074 research outputs found
Special 50 jaar Vlaams Parlement.
No full textIn beeld: van Vlaamse Raad (1980) tot volwaardig Vlaams Parlement (p. 6-9) -- Interview met voorzitter Liesbeth Homans: 'Dit wordt geen volmachtenparlement' / Wouter Verschelden (p. 10-15) -- Vers bloed: de jonge revelatie ontpopt zich in het Vlaams Parlement / Wouter Verschelden (p. 16-23) -- Analyse Wouter Verschelden: 'Als stevige waakhond uit de federale schaduw' / Wouter Verschelden (p. 24-27) -- Beeldreportage: glazen koepel, open huis (p. 28-45) -- Het Vlaams Parlement, een terugblik / Martine Goossens (p. 46-85) -- Het eerste parlement van de Vlamingen / Martine Goossens (p. 48-57) -- Van cultuurparlement tot klassiek parlement / Martine Goossens (p. 58-71) -- Een politiek autonoom Vlaams Parlement / Martine Goossens (p. 72-79) -- De voorzitter van het Vlaams Parlement zit de plenaire vergadering voor en waakt over de uitvoering van alle beslissingen die daar genomen worden. De voorzitter staat boven de fracties en vertegenwoordigt het parlement naar buiten: Biografie / Martine Goossens (p. 80-83) -- Enkele belangrijke decreten / Martine Goossens (p. 84-85) -- Vlaamse emancipatie voor 1971 / Bruno De Wever (p. 86-125) -- Arm Vlaanderen / Bruno De Wever (p. 88-95) -- Guldensporenslag / Bruno De Wever (p. 96-99) -- Hier spreekt men Nederlands / Bruno De Wever (p. 100-105) -- Naar een tweede collaboratie / Bruno De Wever (p. 106-111) -- De unitaire staat is achterhaald / Bruno De Wever (p. 112-121) -- Enkele 'Vlaamsche koppen' die de emancipatie van taal en volk vanaf de Belgische onafhankelijkheid tot de Tweede Wereldoorlog hebben vormgegeven / Bruno De Wever (p. 122-125) -- Train je brein (p. 127-128) -- What's next? (p. 130)Homans, Liesbet
Enhanced fraud detection as a service supporting merchant-specific runtime customization
No full textDigging through the dirt: a general method for abstract discrete state estimation with limited prior knowledge
No full textAutonomous robots are often successfully deployed in controlled environments. Operation in uncontrolled situations remains challenging; it is hypothesized that the detection of abstract discrete states (ADS) can improve operation in these circumstances. ADS are high-level system states that are not directly detectable and influence system dynamics. An example of a typical ADS problem that is used in this thesis is that of a wheeled robot driving through puddles of mud that, when entered, alters the velocity of the robot. When the robot is in such a puddle, it is in an ADS 'mud', and when it is not, it is in an ADS 'free'. ADS can be indirectly inferred through the analysis of lower-level data such as the velocity of the robot. The goal of this thesis is to design a general abstract discrete state estimator (ADSE) operating with limited prior knowledge. An ADSE is a hierarchical system for detecting changes in ADS. The ADSE should be general; applicable to multiple ADSE problems. The ADSE should further operate under limited prior knowledge: only assuming that the amount of ADS and the ADS that describes the regular operation are known. The basis for the ADSE designed in this thesis is a Gaussian hidden Markov model (GHMM), a hidden Markov model enhanced with Gaussian emissions. Randomly generated experiments are done on a simple but general ADSE problem. Two unsupervised learning methods derived from Expectation Maximization are evaluated, namely Baum-Welch (BW) and forward extraction (FWE). FWE is introduced in this thesis and is a simpler implementation of Viterbi extraction, leveraging assumptions of ADSE to in theory gain computational efficiency. We found that both BW and FWE exhibit superior performance compared to a likelihood-based baseline estimator when the maximum score of the learning curve is considered. When the final score is considered, in some cases, FWE displays a deteriorating learning curve, resulting in worse final scores compared to the baseline. Furthermore, it was found that the lower the overlap coefficient (therefore the less similar the ADS), the higher the maximum reached score. It was further shown that BW exhibits better convergence than FWE to the true model parameters. Besides this, FWE obtained comparable or in some cases even superior scores compared to BW. In general, from the results, the diversity of the experiments conducted, and the assumptions made we can conclude that the GHMM can be a general method for an ADSE with limited prior knowledge. To quantify the suitability of the GHMM for ADSE, further research should include the evaluation of different ADSE methods on the same problem. There exists a tradeoff between the lower computational cost FWE and the more stable but more computationally intensive BW learning. Therefore, future research can include a combination of these methods. Other extensions include extending the GHMM to a Gaussian mixture hidden Markov model to allow for the modeling of more complex distributions, or the application to multiple states or a changing environment.https://github.com/Wouter-deBoer/adseMechanical Engineering | Vehicle Engineering | Cognitive Robotic
Early Iron Age burial mounds in the Altay Mountains: from survey to analysis
No full textAn on-going Altay Mountains Survey Project at Ghent University in Belgium studies the archaeological landscape of the Altay Mountains since 2003. The project is directed by Prof. Dr. Jean Bourgeois and dr. Wouter Gheyle, and is done in cooperation with the Department of Geography (Prof. Dr. Rudi Goossens and Prof. Dr. Alain De Wulf). At the time of the Tumulistanbul meeting, six archaeological survey campaigns were executed to gather field data. This yielded a voluminous database with information about 12,047 archaeological structures.3 Burial mounds are certainly the most common features, with the tumuli or kurgans of the Early Iron Age (roughly 9th–2nd century BC) as the best-known examples. Our detailed site plans, combined with the resulting database, enable us to study the internal layout of the burial complexes and their geographical distribution. There are clear variations, sometimes linked with different research areas (higher valleys as opposed to lower areas, etc.). The paper will highlight several of these aspects
Fast k-Fuzzy-Rough Cognitive Networks
No full textFuzzy-Rough Cognitive Networks (FRCNs) are neural networks that use rough information granules with soft boundaries to perform the classification process. Unlike other neural systems, FRCNs are lazy learners in the sense that we can build the whole model when classifying a new instance. This is possible because the weight matrix connecting the neurons is prescriptively programmed. Similar to other lazy learners, the processing time of FRCNs notably increases with the number of instances in the training set, while their performance deteriorates in noisy environments. Aiming at coping with these issues, this paper presents a new FRCN-based algorithm termed Fast k-Fuzzy-Rough Cognitive Network. This variant employs a multi-thread approach for building the information granules as computed by k-fuzzy-rough sets. Numerical simulations on 35 classification datasets show a notable reduction on FRCNs' processing time, while also delivering competitive results when compared to other lazy learners in noisy environments.</p
Fuzzy Cognitive Maps: A Business Intelligence Discussion
No full textModeling complex systems by means of computational models has enabled experts to understand the problem domain without the need of waiting for the real events to happen. In that regard, fuzzy cognitive maps (FCMs) have become an important tool in the neural computing field because of their flexibility and transparency. However, obtaining a model able to align its dynamical behavior with the problem domain is not always trivial. In this paper, we discuss some aspects to be considered when designing FCM-based simulation models by relying on a business intelligence case study. In a nutshell, when the fixed point is unique, we recommend to focus on the number of iterations to converge instead of focusing on the reached attractor and stress the importance of the transfer function chosen in the model
embalming and reperfusion of porcine kidneys
No full text<p>These are the data of the following article:</p>
<p>Understanding Thiel embalming in pig kidneys to develop a new circulation model</p>
<p>First author: Wouter Willaert</p
Nederland op een kantelpunt: Interview met Wouter Veldhuis over het Stedelijk Netwerk Nederland en het sociaal netwerk van woonwijken
No full textDe stedenbouwkundige en architect Wouter Veldhuis en landschapsarchitect Jannemarie de Jonge zijn per 1 december 2020 Rijksadviseur voor de fysieke leefomgeving. Later in september 2021 komt daar de architect Francesco Veenstra bij als Rijksbouwmeester en dan is het nieuwe trio College van Rijksadviseurs weer compleet. De uitdagingen voor het college zijn groot. De ruimteclaims die er liggen in stad en land, de hooggestemde ambities om klimaatneutraal en circulair te zijn in 2050, de roep om een minister voor de fysieke leefomgeving en of wonen en weer een echt ministerie met budget. Het enorme probleem op de woningmarkt en de druk om één miljoen woningen ergens bij te bouwen. Op 24 april sprak het team van 1M Homes initiative van de TU Delft met de nieuw benoemde rijksadviseur voor de fysieke leefomgeving Wouter Veldhuis over de aanstaande veranderingen
Does Indonesia have a"low-pay"civil service?
No full textGovernment officials and polcy analysts maintain that Indonesia's civil servants are poorly paid and have been for decades. This conclusion is supported by anecdotal evidence and casual empiricism. The authors systematically analyze the realtionship between government and private compensation levels using data from two large household surveys carried out by Indonesia's Central Bureau of Statistics: the 1998 Sakernas and 1999 Susenas. The results suggest that government workers with a high school education or less, representing three-quarters of the civil service, earn a pay premium over their private sector counterparts. Civil servants with more than a high school education earn less than they would in the private sector but, on average, the premium is far smaller than commonly is alleged and is in keeping with public/private differentials in other countries. These results prove robust to varying econometric specifications and cast doubt on low pay as an explanation for government corruption.Decentralization,Public Health Promotion,Health Monitoring&Evaluation,National Governance,Knowledge Economy,Health Monitoring&Evaluation,NationalGovernance,Knowledge Economy,Education for the Knowledge Economy,Parliamentary Government
Optimization of the capacity of a rose sorting system using discrete event simulation
No full textIn Rose cultivation companies in the Netherlands, there is a demand for a higher sorting capacity on the existing sorting systems. The objective for this research is to advice which part of the sorting system needs to be adjusted to gain a higher sorting capacity. For the current sorting systems, five bottlenecks are defined, the bottlenecks limit the sorting capacity. To be able to forecast the effect of machine adjustments, a discrete event simulation model has been constructed, using Simulink and Matlab. This simulation model is verified, matched and validated using data of on an existing rose sorting system. Results of a single day validation showed that the time to process the roses can be simulated with a 97% accuracy. Subsequently, five different simulations are executed. In each simulation, one of the five bottlenecks is removed or reduced. With the results of these simulations the capacity limitation due to each bottleneck is quantified. However entirely removing a bottleneck is not feasible in reality for all bottlenecks. A last situation is simulated where all feasible bottleneck reductions are combined. This showed that the time to sort all roses is reduced by 35%.Marine Technology | Transport Engineering and Logistic
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