"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates"
"uuid:729a5979-9f1e-4baa-b29e-111455a1e0c3","http://resolver.tudelft.nl/uuid:729a5979-9f1e-4baa-b29e-111455a1e0c3","Optimize the indescribable: A Look at the Unification between Machine Learning and Optimization","Dijkstra, Finn (TU Delft Electrical Engineering, Mathematics and Computer Science)","Postek, K.S. (mentor); Nane, G.F. (graduation committee); Delft University of Technology (degree granting institution)","2022","Packages to encode Machine Learned models into optimization problems is an underdeveloped area, despite the advantages is could provide. The main draw of implementing Machine Learned models into optimization models, is that it allows the optimizer to better account for the human experience.
Maragno D., Wiberg H. et al. constructed an implementation of the encoding with their package OptiCL. In order to verify their implementation and provide principles for (re)designing packages with similar functions, an amount of components of OptiCL were replicated within this paper. The requirements for
the program were first constructed before detailing the implementation process. After the program was implemented, both OptiCL and the found program were tested in order to compare performances. Using the results and an investigation of the two implementations, a framework for encoding similar packages
was provided using the insights gained. Using mathematical formulations supplied by Maragno D., Wiberg H. et al., design principles outlined in this report and research into the encoding of other Machine Learned models, other developers could construct robust packages that allow for easy integration of
valuable information gained from Machine Learning into optimization problems. This in turn allows for frequently used optimization models to account for more human understanding.","optimisation; Machine learning; Constraint; linear programming","en","bachelor thesis","","","","","","","","","","","","Computer Science","",""
"uuid:82c1bc40-6d73-4712-96ab-e8a5960d6330","http://resolver.tudelft.nl/uuid:82c1bc40-6d73-4712-96ab-e8a5960d6330","Determinacy of Infinite Games","Dijkstra, Jelle (TU Delft Electrical Engineering, Mathematics and Computer Science)","Hart, K.P. (mentor); Kraaikamp, C. (graduation committee); Delft University of Technology (degree granting institution)","2021","This paper introduces the notion of infinite games, i.e., games in which two players take turns playing moves ad infinitum, so that player I wins if the sequence of moves is in a predetermined payoff set. Theorems are then provided about whether a player in such games can have a winning strategy. The first theorem, Gale-Stewart, shows that games with an open or closed payoff set are determined, i.e., one of the players has a winning strategy. The second theorem, Martin, shows moreover that any game with a Borel payoff set is determined. Finally, the paper presents some results that follow from these theorems, for instance that the Continuum Hypothesis holds for all Borel sets. This paper only requires knowledge of very basic set theory and will clearly define any new or otherwise unfamiliar concepts.","Analysis; Descriptive Set Theory; Game Theory; Trees; Games","en","bachelor thesis","","","","","","","","","","","","Applied Mathematics","",""
"uuid:a9a5929f-fd38-4a74-8bed-f3eeeaaab8de","http://resolver.tudelft.nl/uuid:a9a5929f-fd38-4a74-8bed-f3eeeaaab8de","Load cell resonance frequency analyser: Frequency analysis system for load cell based conveyor belt weighing systems","van Heteren, Mauries (TU Delft Electrical Engineering, Mathematics and Computer Science); Dijkstra, Jonathan (TU Delft Electrical Engineering, Mathematics and Computer Science)","Verhoeven, C.J.M. (mentor); Delft University of Technology (degree granting institution)","2020","In this thesis, the design of a frequency analysis system for conveyor belt weighing systems is designed. The objective of the thesis is to detect a change in resonance frequency, caused by a change of pressure applied to a sensor. The design features a resolution of 10 000 discrete frequency levels in a bandwidth of 0.5 MHz. Noise division of a pseudo random noise (PRN) signal is used to obtain a clear frequency spectrum. An ADC is implemented to digitize an analog input signal. Furthermore, a digital down converter using a CICfilter and CORDIC based controlled digital oscillator is applied. The frequency-domain translation is achieved using an FFT. Lastly, an interpolation over the spectrum is realized to increase the frequency resolution. Additionally, an analytical analysis of the primary noise sources in the system is given. The entire system is simulated in MATLAB to validate the designed blocks.","resonance frequency; frequency analysis; frequency resolution; conveyor belt; wireless sensor","en","bachelor thesis","","","","","","","","2022-07-08","","","","Electrical Engineering","",""
"uuid:9977830b-52b8-4cd4-a09a-fdb13a08fec4","http://resolver.tudelft.nl/uuid:9977830b-52b8-4cd4-a09a-fdb13a08fec4","The elementary particles and the root system E8","Dijkstra, Kevin (TU Delft Applied Sciences; TU Delft Electrical Engineering, Mathematics and Computer Science)","Visser, P.M. (mentor); Thijssen, J.M. (graduation committee); Hart, K.P. (graduation committee); Blanter, Y.M. (graduation committee); Delft University of Technology (degree granting institution)","2019","E8 is a famous root system in mathematics. Lisi claims in his paper “An Exceptionally Simple Theory of Everything” that there is a connection between the standard model of the elementary particles and this root system. He claims that standard model has the same structure as the root system E8. If this is true, there must be a mapping from the standard model to E8. This map must identify each elementary particle with an unique root of E8. Also the four charges (weak isospin, weak hypercharge, g3 and g8) of the standard model must have corresponding vectors in R8. These four charge vectors must have the property that taking the inner product of the charge vector and the root identified withan elementary particle, it would result in the charge of that particle. This is needed to guarantee that we have conservation of charge. In this paper we have shown that it is not possible to find a map with four charge vectors. This was done by studying root systems and how different root systems are present in E8 as sub root systems. We also proved that the intersection of E8 with the orthogonal complement of a charge, must be a root system. This limits the possibilities for the charge vectors. For these possible charges it has been checked whether there are enough roots for a given charge to identify the elementary particles. Since this was not the case, we concluded that no mapping with four charge vectors exists.","Root system; E8; Elementary Particles","en","bachelor thesis","","","","","","","","","","","","Applied Mathematics | Applied Physics","",""
"uuid:5d053208-4c51-415f-bd1f-bfc9f819ebf8","http://resolver.tudelft.nl/uuid:5d053208-4c51-415f-bd1f-bfc9f819ebf8","Analysis of the impact of news on the financial market","Dijkstra, Sjoerd (TU Delft Electrical Engineering, Mathematics and Computer Science)","Anderluh, Jasper (mentor); van Elderen, Emiel (graduation committee); Heemink, Arnold (graduation committee); Delft University of Technology (degree granting institution)","2019","In this work we set out to determine the impact, if any, of the analysis of news on stock price prediction, that is, are we able to predict stock movements more accurately on a consistent basis than a proposed baseline or random guessing on the basis of news’ text analysis. We considered a methodology to be more accurate if its success rate is greater than that of a baseline or random guess. We considered a methodology to be consistently more accurate if the average of the success rates over a specified number of runs, say one hundred, is greater than that of a baseline or random guess. As a result, we discovered that the analysis of news, though readily available with modern day technological advancements, does come paired with some problems. 1. The widespread availability of news has made it more difficult to find that news which is of importance to us, news can cover anything and everything. 2. The content of news can discuss events happening anywhere from far past to the far future, making consistent analysis difficult. 3. Most financial news sources tend to block any mass datamining attempts. These problems can mostly be solved by making use of so-called 8-K reports. These reports only cover major events of companies sorted into nine different categories. The 8-K reports reduce the time interval the news impacts from the far past and far future to an interval of five business days, as the reports ought to be published within four business days. Finally, since companies are obligated to publish these reports by the U.S. securities and exchange commission, the reports are readily available and easily accessible through the U.S. securities and exchange commission website. We can then use these texts and analyze them using a rule-based or automatic text analysis approach. However, the rule-based text approach, using lists of positive and negative words for the analysis, tends to be unreliable as text contains a plethora of challenging cases. This problem is solved by using an automatic text analysis, using predetermined scores for texts. The form of automatic text analysis used, is a decision tree approach. Though single decision trees we construct have the characteristic to over-fit, we can construct random forests of decision trees on subsets of our input data to solve this problem. For our analysis we looked at the stocks prices of Tesla, Microsoft, EA and Amazon, due to their varying values. We gave scores to the texts of the 8-K reports using the stock price movement of the day of publishing. We did this for up to 4 business days prior to publishing as well. We also compensated for the market movements using the variable for days zero to four. We gave scores from -1, 0 or 1 dependent on the price movement. This generally resulted in success rates greater than our considered baseline of 33.33% of random guessing. The highest success rate for Tesla, Microsoft, EA and Amazon were in order: 73.09%, 100.00%, 88.64%, 84.95%.","Impact Assessment; Finance; NEWS","en","bachelor thesis","","","","","","","","","","","","Applied Mathematics","",""
"uuid:55e8d679-b8c1-47ab-9376-90598857c825","http://resolver.tudelft.nl/uuid:55e8d679-b8c1-47ab-9376-90598857c825","Connecting the dots, high field ballistic supercurrents","Dijkstra, Hidde (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Applied Sciences)","Akhmerov, Anton (mentor); Bierkens, Joris (mentor); Delft University of Technology (degree granting institution)","2018","We study the flow of supercurrents between two superconducting contacts connected by a 2d layer of graphene. We use a Markov chain Monte Carlo method to find Andreev bound states for circular electron trajectories. Using sample trajectories we estimate the currents as function of the superconducting phase difference between the contacts and the magnetic field.