Bachelor Thesis
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Keywords
- Computervisualistik (4)
- Computergrafik (3)
- Line Space (3)
- Datenstruktur (2)
- Global Illumination (2)
- Linespace (2)
- Path Tracing (2)
- Realistische Computergrafik (2)
- Assembly (1)
- Augmented Reality (1)
- Bounding Volume Hierarchy (1)
- Dynamische Netzwerkanalyse (1)
- Echtzeit Raytracing (1)
- Enterprise Collaboration Sytems (1)
- Erweiterte Realität (1)
- HoloLens (1)
- Light Injection (1)
- Montage (1)
- Pathtracing (1)
- Raytracing (1)
- Social Network Analysis (1)
In the last few years the Internet of things has gained increased attention from authors as well as companies due to its innovation potential. The rising interest in the Internet of Things has also affected the logistics, which currently suffers from the effects of the globalization and the ever-increasing competitive pressure. Thus, there are efforts to discover how the logistics can profit from the use of IoT concepts, ideas and technologies to help it overcome its challenges. This research study focuses on the identification of these efforts and the corresponding research for logistics processes. For that purpose the researcher explored current literature referring to this topic. The final outcome of this paper is a structured overview of the identified IoT use-cases, their corresponding technologies and devices and finally their affected stakeholders. Whether the expectations regarding the IoT implementation in logistics processes are met, how companies can profit from these use-cases and which problems potentially arise by using IoT devices and technologies in logistics are answered at the end of this paper.
Augmented reality is being present for many years. Through progress in technology smaller augmented reality glasses became possible. These new technologies allow many new ways of interaction and usage of augmented reality.
This thesis is about the Microsoft HoloLens and its possiblities for consumers and industry. In the context of this thesis a new interactive and augmented application to measure the possiblities and limitations of the Microsoft HoloLens has been developed. The scene is an assembly szenario with a step by step instruction of building with Lego bricks. The evaluation showed that the HoloLens can already be used to assist in assembling scenarios and offers some advantages over other methods, although the glasses still have some flaws.
This thesis presents two methods for the computation of global illumination. The first is an extension of Reflective Shadow Maps with an additional shadow test in order to handle occlusion. The second method is a novel, bidirectional Light-Injection approach. Rays originating from the light source are traced through the scene and stored inside the shafts of the Linespace datastructure. These shafts are a discretization of the possible spatial directions. The Linespaces are embedded in a Uniform Grid. When retrieving this pre-calculated lightning information no traversal of datastructures and no additional indirection is necessary in the best-case scenario. This reduces computation time and variance compared to Pathtracing. Areas that are mostly lit indirectly and glas profit the most from this. However, the result is only approximative in nature and produces visible artifacts.
This thesis tests several methods and measures in pathtracing for selecting either the Line Space or the Bounding Volume Hierarchy data structure to make use of the advantages of both. The structures are defined locally around each object and each Line Space shaft contains one candidate ID each. All implementation is done as a C++ and OpenGL framework with compute shaders handling the pathtracing and Line Space generation. The measures include the probability distribution, the effect dependency, as well as a distance threshold and are tested against several different scenes. In most situations, the results show a noticeable increase in performance, partly only with minor visual differences, with the probability measure producing the highest quality images for a given performance. The fundamental problems of the Line Space concering the high memory consumption and a long generation time compared to the BVH still persist, despite the object local structure, a minimal amount of data per shaft and the compute shader implementation.
With global and distributed project teams being increasingly common Collaborative Project Management is becoming the prevalent paradigm for the work in most organisations. Software has for many years been one of the most used tools for supporting Project Management and with the focus on Collaborative Project Management and accompanied by the emergence of Enterprise Collaboration Systems (ECS), Collaborative Project Management Software (CPMS) is gaining increased attention. This thesis examines the capabilities of CPMS for the long-term management of information which not only includes the management of files within these systems, but the management of all types of digital business documents, particularly social business documents. Previous research shows that social content in collaboration software is often poorly managed which poses challenges to meeting performance and conformance objectives in a business. Based on literature research, requirements for the long-term management of information in CPMS are defined and 7 CPMS tools are analysed regarding the content they contain and the functionalities for the long-term management of this content they offer. The study shows that CPMS by and large are not able to meet the long-term information management needs of an organisation on their own and that only the tools geared towards enterprise customers have sufficient capabilities to support the implementation of an Enterprise Information Management strategy.
This thesis presents a novel technique in computer graphics to simulate realtime
global illumination using path tracing. Path tracing is done with compute shaders on the graphics card (GPU) to perform rendering in a highly parallelized manner. To improve the overall performance of tracing rays, the Line Space is used as an acceleration data structure in different variations, resulting in better
empty space skipping. The Line Space saves scene information based on a previous voxelization in direction-dependent shafts and is generated and traversed on the GPU. With this procedure, indirect lighting and soft shadows can be computed in a physically correct way. Furthermore, using the Line Space, path tracing can be performed mostly independent of the complexity of the scene geometry with over 100 frames per second, which is truly real-time and much faster than using a comparable voxel grid. The image quality is not affected negatively by this technique and the shadow quality is in most cases much better compared to shadow-mapping.
This Work analyzes if a hardware prototype on an Arduino basis for an Adhoc Network can be created. The objective of the prototype development is, the creation of a sensor node with a modular design, where components can be easily changed. Furthermore the application area has requirements, which the node must fulfill. These requirements are derived from the Tmote Sky sensor node, therefore the new created sensor node must be a possible alternative for it and fulfill the same functions. For that purpose this study reviews some available Arduino microprocessors on their suitability for a sensor node. Later in the work the composition of the sensor node is documented. For this, the hardware and their costs are illustrated. The created hardware prototype allows, through easily changed radio modules, the covering of 433 MHz, 866 MHz and 2,40 GHz radio frequencies. At the end of the work, the sensor node prototype is used in an experiment to check for the suitability for water monitoring. For this, an experiment was performed on land and on water and the results evaluated. In the end the prototype fulfilled most of the requirements, but the cost was a little too high.
Part-of-Speech tagging is the process of assigning words with similar grammatical properties to a part of speech (PoS). In the English language, PoS-tagging algorithms generally reach very high accuracy. This thesis undertakes the task to test against these accuracies in PoS-tagging as a qualitative measure in classification capabilities for a recently developed neural network model, called graph convolutional network (GCN). The novelty proposed in this thesis is to translate a corpus into a graph as a direct input for the GCN. The experiments in this thesis serve as a proof of concept with room for improvements.
This thesis deals with the exploration of different interaction possibilities
for three-dimensional, virtual objects in a real environment. The focus lies
especially on interaction possibilities from new AR-technologies.
A playful prototype of an application for Microsofts HoloLens will be
designed and implemented. The prototype consists of three parts. The first
part is the scan-process of the real environment of the user. In the second
part the user can augment the real environment with three-dimensional,
virtual objects. In the third part the user is supposed to navigate a virtual
avatar through the real environment.
The interaction possibilities of the HoloLens like Gaze, Gesture and VoiceInput
will be evaluated in the following categories menu navigation, positioning
of three-dimensional objects in a real environment and controlling an
avatar.
This thesis explores different approaches for the acceleration of raytracing calculations on the graphics processing unit (GPU). For that a voxel grid is used and extended by the linespace data structure. The linespace consists of direction based shafts and stores the objects located in those shafts in a candidate list. Different methods for the sorting and traversal of the linespace are presented and evaluated. The shown methods cannot provide a speed up of the frame rate without resulting in a loss of image quality.