Level Of Detail Approach Research Articles

Parallel LOD for CAD model rendering with effective GPU memory usage

AbstractLack of memory is one of reasons that makes rendering of massive CAD models challenging on a single workstation. As CPU main memory size reaches tens of gigabytes, GPU memory is far behind. To render a model with several gigabytes of vertices and triangles, Level-Of-Detail (LOD) algorithms are used to view-dependently select potions of datasets from the data repository on CPU, and then transfer them to GPU at each time a frame being rendered. But, the question of how to effectively and fully utilize GPU memory to achieve best possible rendering quality for an oversized CAD model has not been addressed. In this paper, we propose a parallel LOD approach that uses both view parameters and GPU memory size for adaptive adjustments of geometric complexity. Also, our GPU out-of-core technique minimizes the size of CPU-to-GPU data transfer by taking advantages of frame-to-frame coherence. The experimental results show that our approach effectively renders Boeing 777 airplane model, composed of over 300 mi...

Framework for the use of landscaping waste for alternative energy generation

Purpose – Against the background of alternative sources for feeding biogas plants, this paper aims to consider a utilization of landscaping waste as alternative to common crops. Design/methodology/approach – In consideration of survey data, a robust framework is proposed based on characterizations of source and sink to meet the requirements of both sides reliably. Depending on available data and further surveys, a level of detail approach of a biomass supply chain is conducted in this regard. Findings – In this context, different types of landscaping waste suitable for both biogas generation and incineration were defined. With respect to the sporadically minor quantities of landscaping waste, minor capacity load in terms of transportation is one crucial factor within an entire concept of logistics. Practical implications – Due to the arising cost function, possibilities and needs of utilizing landscaping waste for alternative energy generation in biogas plants and incineration plants are drawn. Originality/value – Moreover, economic and technological challenges concerning a utilization of landscaping waste in biogas plants are systematically revealed. Thus, technological processes in biogas plants were considered from a managerial point of view. The characteristics of rotting biomass in terms of its shelf life are considered additionally to ensure the required quality of input material particularly for the process of biogas generation.

A Multiple Level of Detail Approach to the Tactical Movement Problem

The tactical movement problemis considered to be one in which a robotic agent is required to move around its world to complete a task. This agent has manipulation abilities which allow it to perform work on its local surroundings. The coupled optimisation of the agent movements and manipulations is thus of key importance to minimise the cost of completing the task. The driving practical application in this paper is one of cost effective excavation in a mining environment. The agent is a mining shovel and it has the ability to manipulate the world through excavation actions. The problem becomes one of determining the optimal path that the shovel should take and the dig operations that should be completed at each point along the path. An initial solution is presented to automatically generate an optimized dig plan for a large robotic excavator. A wavelet based detail reduction approach is used which allows a near optimal solution of the problem to be generated in practically useful timeframes.

Hardware Accelerated Interactive Vector Field Visualization: A level of detail approach

Hardware Accelerated Interactive Vector Field Visualization: A level of detail approach

Hardware Accelerated Interactive Vector Field Visualization: A level of detail approach

This paper presents an interactive global visualization technique for dense vector fields using levels of detail. We introduce a novel scheme which combines an error-controlled hierarchical approach and hardware acceleration to produce high resolution visualizations at interactive rates. Users can control the trade-off between computation time and image quality, producing visualizations amenable for situations ranging from high frame-rate previewing to accurate analysis. Use of hardware texture mapping allows the user to interactively zoom in and explore the data, and also to configure various texture parameters to change the look and feel of the visualization. We are able to achieve sub-second rates for dense LIC-like visualizations with resolutions in the order of a million pixels for data of similar dimensions.