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Automation in aerospace industry is often in the form of dedicated solutions and focused on processes like drilling, riveting etc. The common industrial robot has due to limitations in positional accuracy and stiffness often been unsuitable for aerospace manufacturing. One major cost driver in aircraft manufacturing is manual assembly and the bespoke tooling needed. Assembly tasks frequently invol
In this paper, we study the joint design of optimal linear encoders and decoders for filtering and transmission of a signal over an additive Gaussian noise channel subject to a real-time constraint. The objective is to minimize the variance of the estimation error at the receiving end. The design problem is nonconvex, but it is shown that a global optimum can be found by solving a related two-stag
We present a novel architecture for flexible control of shading rates in a GPU pipeline, and demonstrate substantially reduced shading costs for various applications. We decouple shading and visibility by restricting and quantizing shading rates to a finite set of screen-aligned grids, leading to simpler and fewer changes to the GPU pipeline compared to alternative approaches. Our architecture int
Program parallelization becomes increasingly important when new multi-core architectures provide ways to improve performance. One of the greatest challenges of this development lies in programming parallel applications. Declarative languages, such as constraint programming, can make the transition to parallelism easier by hiding the parallelization details in a framework. Automatic parallelizatio
We present an algorithm, called Bonsai, for rapidly building bounding volume hierarchies for ray tracing. Our method starts by computing midpoints of the triangle bounding boxes and then performs a rough hierarchical top-down split using the midpoints, creating triangle groups with tight bounding boxes. For each triangle group, a mini tree is built using an improved sweep SAH method. Once all mini
Dataflow is a natural way of modelling streaming applications, such as multimedia, networking and other signal processing applications. In order to cope with the computational and parallelism demands of such streaming applications, multiprocessor systems are replacing uniprocessor systems. Mapping and scheduling these applications on multiprocessor systems are crucial elements for efficient implem
The problem of joint source-channel coding is considered for a stationary remote (noisy) Gaussian source and a Gaussian channel. The encoder and decoder are assumed to be causal and their combined operations are subject to a delay constraint. It is shown that, under the mean-square error distortion metric, an optimal encoder-decoder pair from the linear and time-invariant (LTI) class can be found
Det har i doktrin hävdats att underrätters rättstillämpning i mål rörande beskattning av oredovisade intäkter inte uppfyller de krav på rättssäkerhet som ställs i skatteprocessen. I denna uppsats utreds huruvida så är fallet. De frågeställningar som uppsatsen bygger på är vilka krav som ställs på rättssäkerhet i skatteprocessen, hur beskattning av oredovisade intäkter sker, vilken bevisbörda och vIt has been claimed in literature that the application of the rules about taxation of unreported income by Swedish administrative courts is insufficient from a legal certainty perspective. This essay considers whether this is the case. The essay is centered around the following questions: What are the requirements regarding legal certainty in the tax procedure? How is unreported income taxed? Who
Recently, the performance of many-light algorithms, where thousands of light sources are used to compute the lighting in a scene, has improved so much that they have reached the realm of real-time rendering. In general, the algorithm that is considered “best” is the one that is the fastest in terms of time per frame. Given that power efficiency may become or already is one of the most important op
In this paper we address the problem of translating high-level stream programs, such as those written in MPEG's RVC-CAL dataflow language, into implementations in programmable hardware. Our focus is on two aspects: sufficient language coverage to make synthesis available for a large class of programs, and methodology and tool support providing analysis and guidance to improve and optimize an initi
From a control design point of view, modern diesel engines are dynamic, nonlinear, MIMO systems. This paper presents a method to find low-complexity black-box dynamic models suitable for model predictive control (MPC) of NOx and soot emissions based on on-line emissions measurements. A four-input-five-output representation of the engine is considered, with fuel injection timing, fuel injection dur
Partitioning and mapping are important design decisions in exploiting the parallelism of programs that are to be run on systems with multiple processing elements. In this paper we introduce a fast, incremental approach for mapping dynamic dataflow programs to multiprocessor systems. We use causation traces and architecture descriptions as input for the mapping process that devises several heuristi
We present a new method for real-time render- ing of multiple recursions of reflections and refractions. The method uses the strengths of real-time ray tracing for objects close to the camera, by storing them in a per-frame constructed bounding volume hierarchy (BVH). For objects further from the camera, rasterization is used to create G-buffers which store an image-based representation of the sce
Abstract in UndeterminedThis paper describes a methodology for the optimization of portable parallel signal processing applications specified by dataflow programs. The use of dataflow as a programming model for signal processing applications targeting parallel platforms provides an important advantage versus the traditional sequential programming paradigm: the portability of parallelism. The paper
Computing accurate visibility for thin primitives, such as hair strands, fur, grass, at all scales remains difficult or expensive. To that end, we present an efficient visibility algorithm based on spatial line sampling, and a novel intersection algorithm between line sample planes and Bezier splines with varying thickness. Our algorithm produces accurate visibility both when the projected width o
The global demand for fresh food has increased during the past five years and the demand is anticipated to continue growing in the future. The consumers' expectations are also getting higher and higher, which is why it is of great importance that the actors within the food industry meet these requirements to remain competitive. Fresh food is perishable goods which have a short shelf life. The
