86 research outputs found
BUND-Abschaltplan für AKW und Kohlekraftwerke
No full textBUND-ABSCHALTPLAN FÜR AKW UND KOHLEKRAFTWERKE
BUND-Abschaltplan für AKW und Kohlekraftwerke / Becker, Thorben (Rights reserved) (-
Eine Chance für die Umwelt?
No full textIm Sommer haben sich die 25 Staats- und Regierungschefs der EU-Mitgliedstaaten auf einen einheitlichen europäischen Verfassungsvertrag geeinigt. Die Grundlage für das jetzige Ergebnis bildet der Verfassungsentwurf, der im Sommer letzten Jahres vom EU-Konvent präsentiert wurde. Der verbesserte Schutz der Umwelt war sicher nicht das erste Ziel der Konventsmitglieder, trotzdem zeigt der Text punktuell Fortschritte in Umweltbelangen
Analyzing and Predicting Material Flow Networks Using Stochastic Block Models and Statistical Graph Embeddings
No full textManufacturing and logistics systems consist of many complexly interacting elements. Starting from social science, the field of complex networks has developed concepts and methods to analyze and predict networks, such as friendship networks or protein interactions. However, although these examples have equivalents in the form of company networks and interactions within manufacturing processes, more sophisticated methods have not yet been transferred to manufacturing and logistics. We propose to apply methods from clustering and graph embedding on representations of machine interactions to analyze the structural stability of manufacturing systems and to predict structural changes of such systems
Identifizierung und Kartierung dynamischer Umgebungen für autonome Fahrzeuge
No full textDiese Masterarbeit beschäftigt sich mit dem Aufbau einer topologischen Karte auf einer
unbekannten Fahrbahn. Diese Aufgabe soll auf Basis des RatSLAM Algorithmus (SLAM:
Simultaneous Localization and Mapping) auf einer autonomen Fahrzeugplattform im
Maßstab 1:10 bewältigt werden. Darüber hinaus soll eine Aufwertung der erstellten Karte
stattfinden. In die Karte sollen Informationen über Kurvenanfang und -ende, Hindernisse
sowie Kreuzungen integriert werden. Für diese Aufgabe wird in dieser Masterarbeit eine
Erkennung für Hindernisse und Kreuzungen entwickelt, die beide Fahrspuren überprüft.This master thesis deals with the construction of a topological map on an unknown
roadway. This task will be handled on basis of the RatSLAM algorithm on an autonomous
vehicle with 1:10 scale. The created map should take place with upgrades. The created
map shall be enhanced with map information such as curve start and end point, obstacles
and crossings. For this task, a obstacle and crossing recognition system is developed,
which checks both lanes
Animating Still Images: Folding Texture Design and Synthesis
No full textThe phenomenon of one element moving and progressively overlaying another is common in nature, such as waves swashing and backwashing, or eyelids moving over eyeballs while blinking. Folding Texture, which was proposed by Thorben, can simulate this texture “folding” visual effect in real-time without changing geometry.However, to date, no tool has been developed to assist in the design and synthesis of folding textures. Applications of the technique so far are achieved through manual creation of the folding texture, which is a tedious process.This thesis explores the problem of folding-texture design and synthesis. A novel approach is proposed for animating still images based on the folding texture technique. The approach uses a semi-automatic, user-assisted method that combines texture editing, motion profile specification, and folding texture synthesis into one seamless process, reducing the need for extensive manual work. It enables novice users to utilize the technique with a fair level of prior knowledge of folding texture.Computer Scienc
Stochastic block models: A comparison of variants and inference methods.
No full textFinding communities in complex networks is a challenging task and one promising approach is the Stochastic Block Model (SBM). But the influences from various fields led to a diversity of variants and inference methods. Therefore, a comparison of the existing techniques and an independent analysis of their capabilities and weaknesses is needed. As a first step, we review the development of different SBM variants such as the degree-corrected SBM of Karrer and Newman or Peixoto's hierarchical SBM. Beside stating all these variants in a uniform notation, we show the reasons for their development. Knowing the variants, we discuss a variety of approaches to infer the optimal partition like the Metropolis-Hastings algorithm. We perform our analysis based on our extension of the Girvan-Newman test and the Lancichinetti-Fortunato-Radicchi benchmark as well as a selection of some real world networks. Using these results, we give some guidance to the challenging task of selecting an inference method and SBM variant. In addition, we give a simple heuristic to determine the number of steps for the Metropolis-Hastings algorithms that lack a usual stop criterion. With our comparison, we hope to guide researches in the field of SBM and highlight the problem of existing techniques to focus future research. Finally, by making our code freely available, we want to promote a faster development, integration and exchange of new ideas
A Tool for an Analysis of the Dynamic Behavior of Logistic Systems with the Instruments of Complex Networks
No full textComplex networks of material flow in manufacturing and logistics: Modeling, analysis, and prediction using stochastic block models
No full textFourier Spectral Methods for Bayesian Filtering of Stochastic Partial Differential Equations
No full textThe development of computationally ecient algorithms for statistical inference of stochastic dierential equations has been a long-standing research subject ever since the advent of stochastic analysis. Recently, there has been an increasing interest in extending these methods to the statistical study of stochastic partial dierential equations. In this thesis, we are concerned with statistical inference for the linear stochastic convection-diusion equation (SCDE) driven by a stochastic forcing term that is spatially a Matern process. The approach is based on spectral methods for partial dierential equations and approximates a solution to the SCDE via a Fourier spectral decomposition. The resulting spectral processes are given by a family of uncoupled Ornstein-Uhlenbeck processes, for which computationally ecient statistical inference is possible based on the Kalman lter. We give veriable experimental results for all statistical problems - ltering, smoothing and parameter estimation - based on simulated data. We further derive a novel weak solution to the SCDE driven by spatial Matern noise for spatially periodic boundary conditions and show that the solution is indeed approximated by the Fourier spectral decomposition, thereby validating the statistical model. For the heat equation, we generalize the spectral ltering approach on compact Riemannian manifolds. Experimental results for this generalization are given on the two-dimensional unit sphere.Applied Mathematic
Designing a product-brand strategy for a coffee bean service
No full textThe coffee market is moving towards coffee preparation based on the whole bean in the household sector. Consumers are buying new machines and are looking for higher quality beans. At the same time, more and more appliances are becoming connected to the internet, and consumers are looking for holistic digital solutions. For appliance-oriented brands, such as Philips (PH), this raises crucial questions about the extent to which a brand can be extended into new product categories within the coffee market to provide holistic services to consumers. Research showed that the generation of “millennials” in particular should be addressed as a target segment: The group places high value on digital experiences and values high quality of coffee and beans. At the same time, it was identified that they have little confidence in broad appliance brands, such as PH, to offer a holistic coffee service that provides them with coffee beans. It is, therefore, necessary to offer a trustworthy experience through the creation of a new brand. To provide a trustworthy value-added brand experience, two key steps were identified. First, a new brand is needed that evokes desired brand associations in the coffee and coffee bean sector. Secondly, once this brand has become associated with high-quality coffee beans in the consumers’ minds, it is necessary to build a connected coffee machine app in collaboration between the new brand and the existing appliance brand (PH). The interaction of these two brands enables a trustworthy brand experience, including when offering desired features in the area of personalisation and bean recommendation.Strategic Product Desig
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