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In the realm of digital situational awareness during disaster situations, accurate digital representations,
like 3D models, play an indispensable role. To ensure the
safety of rescue teams, robotic platforms are often deployed
to generate these models. In this paper, we introduce an
innovative approach that synergizes the capabilities of compact Unmaned Arial Vehicles (UAVs), smaller than 30 cm, equipped with 360° cameras and the advances of Neural Radiance Fields (NeRFs). A NeRF, a specialized neural network, can deduce a 3D representation of any scene using 2D images and then synthesize it from various angles upon request. This method is especially tailored for urban environments which have experienced significant destruction, where the structural integrity of buildings is compromised to the point of barring entry—commonly observed post-earthquakes and after severe fires. We have tested our approach through recent post-fire scenario, underlining the efficacy of NeRFs even in challenging outdoor environments characterized by water, snow, varying light conditions, and reflective surfaces.
Since the 1980’s, against the backdrop of global warming and the decline of conventional energy resources, low emission and renewable energy systems have gotten into the focus of politics as well as research and development. In order to decrease the emission of greenhouse gases Germany intents to generate 80% of its electrical energy from renewable and low emission sources by 2050. For low emission electricity generation hydrogen operated fuel cells are a potential solution. However, although fuel cell technology has been well known since the 19th century cost effective materials are needed to achieve a breakthrough in the market.
Proton Exchange Membrane Fuel Cells with Carbon Nanotubes as Electrode Material
At the Westphalian Energy Institute of the Wesphalian University of Applied Sciences one main focus is on the research of proton exchange membrane fuel cells (PEMFC). PEMFC membrane electrode assemblies (MEA) consist of a polymer membrane with electrolytic properties covered on both sides by a catalyst layer (CL) as well as a porous and electrical conductive gas diffusion layer (GDL).
For PEMFC carbon nanotubes (CNT) have ideal properties as electrode material concerning electrical conductivity, oxidation resistance and media transport. CNTs are suitable for the use as catalyst support material within the CL due to their large surface in comparison to conventional carbon supports. Furthermore, oxygen plasma treated CNTs show electrochemical activity referred to hydrogen adsorption and desorption, which has been shown by cyclic voltammetry in 0.5 M sulfuric acid solution. According to the PEMFCs anode a GDL coated with oxygen plasma activated CNTs has promising properties to significantly reduce catalyst content (e.g. platinum) of the anodic CL.
Um die Wasserstofftechnik in Zukunft wirtschaftlich und damit kommerziell am Markt verfügbar werden zu lassen, sind heute noch immer große Forschungs- und Entwicklungsanstrengungen notwendig. Dabei erfordert die Entwicklung von optimierten Komponenten wie beispielsweise der Membran-Elektroden-Einheit (MEA – engl. Membrane Electrode Assembly) für Brennstoffzellen sowie Elektrolyseure reproduzierbare und homogene Prüfbedingungen. Für diesen Zweck ist ein Prüfsystem auf Basis eines von der Westfälischen Hochschule (WHS) patentierten modularen Stackkonzepts mit hydraulischer Verpressung entworfen und realisiert worden. Mit dem hier vorgestellten System ist es möglich, auf Einzelzellenbasis mehrere Proben zum gleichen Zeitpunkt unter identischen Umgebungsbedingungen auf ihre Charakteristik hin zu untersuchen.
Renewable and sustainable energy production by many small and distributed producers is revolutionizing the energy landscape as we know it. Consumers produce energy, making them to prosumers in the smart grid. The interaction between prosumers and other entities in the grid and the optimal utilization of new smart grid components (electric cars, freezers, solar panels, etc.) are crucial for the success of the smart grid. The Power Trading Agent Competition is an open simulation platform that allows researchers to conduct low risk studies in this new energy market. In this work we present Maxon16, an autonomous energy broker and champion of the 2016's Power Trading Agent Competition. We present the strategies the broker used in the final round and evaluate the effectiveness of the strategies by analyzing the tournament's results.
Many fluids transported by pipelines are in some sense hazardous. It is therefore often necessary to install leak detection (and locating) systems (LDS), especially due to legal regulations like the "Code for Federal Regulations (CFR) Title 49 Part 195", API 1130 2nd Ed., both for the USA, or the "Technische Regeln für Fernleitungen" (TRFL) (Technical Rules for Pipelines) in Germany. This paper gives a survey of methodologies, methods and techniques for leak detection and locating. The survey starts with some remarks concerning (legal) regulations both for the USA and for Germany. Some few words about externally based systems (due to API 1130 2nd Ed.) follow next. A significant part of the paper deals with internally based systems (also due to API 1130 2nd Ed.) like balancing systems (line balance, volume balance, compensated mass balance etc.), Real Time Transient Model LDS (RTTM-LDS), pressure/flow monitoring and statistical analysis LDS. Different methods for leak locating (gradient intersection method, wave propagation analysis etc.) will also be shown. The presentation of an Extended RTTM approach (E-RTTM) combining advantages of conventional RTTM LDS and statistical analysis follows next, together with the demonstration of applicability by means of two examples, a liquid multi-batch pipeline, and a gas pipeline. Sketching future work and the conclusion conclude the survey.
Desert ants Cataglyphis spec. monitor inclination and distance covered through force-based sensing in their legs. To transfer this mechanism to legged robots, artificial neural networks are used to determine the inclination angle of an experimental ramp from the motor data of the legs of a commercial hexapod walking robot. It is possible to determine the inclination angle of the ramp based on the motor data of the robot legs read out during a run. The result is independent of the weight and orientation of the robot on the ramp and hence robust enough to serve as an independent odometer.
Intelligenzexplosion
(2016)
Mikrostrukturen auf Oberflächen bestimmen häufig deren physikalische Eigenschaften. Die üblichen Methoden zur Herstellung von mikrostrukturierten Oberflächen wie Fotolithografie sind aber teuer und aufwändig. Daher wird schon lange die schnelle und günstige Methode der Abformung genutzt, um Gegenstände mit Mikrostrukturen herzustellen
[1,2]. Zur Nutzung als Positiv für die Abformung können Oberflächen zum Beispiel mit Fotolithografie hergestellt werden, oder es können mikrostrukturierte Objekte aus der Natur verwenden werden. Mittels Fotolithografie können aber keine gewölbten Oberflächen mit Mikrostrukturen versehen werden und mikrostrukturierte Oberflächen aus der Natur sind meist eher klein. In dieser Arbeit wurde daher nach sehr kleinen mikrostrukturierten Objekten gesucht, die nebeneinander auf eine (auch gewölbte) Oberfläche aufgebracht werden können, um diese anschließend abzuformen. Die besten Resultate ergaben mit Bärlappsporen beschichtete Oberflächen als Positive. Replikate dieser Oberflächen zeigen einen um 30° höheren Kontaktwinkel als das unstrukturierte Material.