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Let C be a simple(1) polygonal chain of n edges in the plane, and let p and q be two arbitrary points on C. The detour of C on (p, q) is defined to be the length of the subchain of C that connects p with q, divided by the Euclidean distance between p and q. Given an epsilon >0, we compute in time O((1)/(epsilon) n log n) a pair of points on which the chain makes a detour at least 1/(1 + epsilon) t
A new pharmaceutical product suitable to act as a negative contrast agent for Computerized Scan (CT-scan) of the abdomen is under development. At the moment the product has the form of a powder, which when dispersed in water and whipped, gives a stable foam. The foam is ingested by individuals who are about to undergo a CT-scan, as a prior preparation step. The powder form has disadvantages such a
In this paper we introduce the Tangent Sampson error, which is a generalization of the classical Sampson error in two-view geometry that allows for arbitrary central camera models. It only requires local gradients of the distortion map at the original correspondences (allowing for pre-computation) resulting in a negligible increase in computational cost when used in RANSAC or local refinement. The
Because of the good thermal stability and superior carrier transport characteristics of formamidinium lead trihalide perovskite HC(NH2)2PbX3 (FAPbX3), it has been considered to be a better optoelectronic material than conventional CH3NH3PbX3 (MAPbX3). Herein, we fabricated a FAPbBr3 microcrystal-based photodetector that exhibited a good responsivity of 4000 A W−1 and external quantum efficiency up
We present an iterative retrieval algorithm based on data constraint for ultrashort pulse characterization using dispersion scan (d-scan). The proposed algorithm is much faster and leads to a drastic reduction of retrieval times, but, compared to the standard algorithm, it performs less robustly in the retrieval of noisy d-scan traces. The algorithm is tested on several simulated cases and in two
While many industrial processes have been thoroughly exposed to machine learning models, the realm of powder metallurgy is still underexplored. This thesis aims to investigate the potential for a machine learning model to predict the characteristics of metal powders after a reduction annealing process using time series process data from the furnace. A supervised learning model was developed to pre
We investigated return of spontaneous circulation and of cerebral oxygenation after asphyxia-induced cardiac arrest, using ventilation with air, throughout, or with 100% oxygen for a shorter or longer period. Arterial pressure, heart rate, regional cerebral oxygen saturation (CrSO2) and brain tissue oxygen tension (PbtO2) were measured in one day old piglets that were hypoventilated with air and l
Discover how the master’s programme in Digital Architecture and Emergent Futures combines architecture, technology and creative freedom, through the experience of student Sebastian.Student Sebastian shares how the master’s programme in Digital Architecture and Emergent Futures encourages creative freedom and new ways of thinking through technology.
Coordination of Official Development Assistance (ODA) has been an important topic in debates focused on improving the outcomes of international development. The subject assumes particular importance with the expected increase of ODA flows to support developing countries addressing climate change-related issues. The case of Mozambique is of special relevance due to the heightened consequences of cl
In this thesis, we present and study a few approaches for constructing controllers for uncertain systems, using a combination of classical control theory and modern machine learning methods. The thesis can be divided into two subtopics. The first, which is the focus of the first two papers, is dual control. The second, which is the focus of the third and last paper, is multiple-input multiple-outp
The hypothesis that human reasoning and decision-making can be roughly modeled by Expected Utility Theory has been at the core of decision science. Accumulating evidence has led researchers to modify the hypothesis. One of the latest additions to the field is Dual Process theory, which attempts to explain variance between participants and tasks when it comes to deviations from Expected Utility The
Coherence Reliability
Design optimization of distributed energy systems has become an interest of a wider group of researchers due the capability of these systems to integrate non-dispatchable renewable energy technologies such as solar PV and wind. White box models, using linear and mixed integer linear programing techniques, are often used in their design. However, the increased complexity of energy flow (especially
