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Airborne dispersal of microalgae has largely been a blind spot in environmental biological studies because of their low concentration in the atmosphere and the technical limitations in investigating microalgae from air samples. Recent studies show that airborne microalgae can survive air transportation and interact with the environment, possibly influencing their deposition rates. This minireview

As custom multicore architectures become more and more common for DSP applications, instruction selection and scheduling for such applications and architectures become important topics. In this paper, we explore the effects of defining the problem of finding an optimal instruction selection and scheduling as a constraint satisfaction problem (CSP). We incorporate methods based on sub-graph isomorp

This paper presents the development of a non-dimensional model of a continuous cross-flow atomic layer deposition (ALD) reactor with temporally separated precursor pulsing and a structured model-based methodology for scaling up the substrate dimensions. The model incorporates an ALD gas–surface reaction kinetic mechanism for the deposition of thin ZnO films from Zn(C2H5)2 and H2O precursors that w

Dataflow descriptions are a natural match to application areas such as signal processing, cryptography, networking, image processing, and media coding. This paper addresses the problem of efficiently executing the basic elements of a dataflow program, its actors, written in a language such as MPEG's RVC-CAL. Using actor machines as an execution model for dataflow actors, we devise a metric for mea

While each new generation of processors gets larger caches and more compute power, external memory bandwidth capabilities increase at a much lower pace. Additionally, processors are equipped with wide vector units that require low instruction level divergence to be efficiently utilized. In order to exploit these trends in ray tracing, we present an alternative to traditional depth-first ray traver

We propose a generalized approach to decoupling shading from visibility sampling in graphics pipelines, which we call decoupled sampling. Decoupled sampling enables stochastic supersampling of motion and defocus blur at reduced shading cost, as well as controllable or adaptive shading rates which trade off shading quality for performance. It can be thought of as a generalization of multisample ant

Partially premixed combustion (PPC) is a combustion concept with similarities to both Diesel and Homogeneous Charge Compression Ignition (HCCI) combustion. It provides a combustion mode with better controllability than HCCI without increasing the emissions of nitrogen oxides and soot to the level of traditional Diesel engines. The model described in this paper aims to describe the main features of

Light maps have long been a popular technique for visually rich real-time rendering in games. They typically contain smooth color gradients which current low bit rate texture compression techniques, such as DXT1 and ETC2, do not handle well. The application writer must therefore choose between doubling the bit rate by choosing a codec such as BC7, or accept the compression artifacts, neither of wh

Popular Abstract in Swedish Att ha en allvarlig hjärtsjukdom är oftast förknippat med oro och rädsla. När det bestäms att patienten ska genomgå en planerad hjärtoperation, kan det vara avgörande för patientens och de närståendes välbefinnande hur de bemöts av all hälso- och sjukvårdspersonal, som de kommer i kontakt med under väntetiden samt vilket stöd de då upplever. Att korrekt och saklig inforPatients waiting for cardiac surgery often consider the period from the decision for surgery to the time for the operation as long, heavy and dreary. Therefore, it is important that patients are supplied with structured oral and written information regarding their disease and its treatment, so that they are able to understand and discuss the forthcoming operation, the risk of complications and the

We present a hierarchical traversal algorithm for stochastic rasterization of motion blur, which efficiently reduces the number of inside tests needed to resolve spatio-temporal visibility. Our method is based on novel tile against moving primitive tests that also provide temporal bounds for the overlap. The algorithm works entirely in homogeneous coordinates, supports MSAA, facilitates efficient

This paper assumes the availability of a very fast higher-dimensional rasterizer in future graphics processors. Working in up to five dimensions, i.e., adding time and lens parameters, it is well-known that this can be used to render scenes with both motion blur and depth of field. Our hypothesis is that such a rasterizer can also be used as a flexible tool for other, less conventional, usage area

Many combinatorial optimization problems lend themselves to be modeled as distributed constraint optimization problems (DisCOP). Problems such as job shop scheduling have an intuitive matching between agents and machines. In distributed constraint problems, agents control variables and are connected via constraints. We have equipped these agents with a full constraint solver. This makes it possibl

Embedded DSP computing is currently shifting towards manycore architectures in order to cope with the ever growing computational demands. Actor based dataflow languages are being considered as a programming model. In this paper we present a code generator for CAL, one such dataflow language. We propose to use a compilation tool with two intermediate representations. We start from a machine model o

This paper presents the results of an explorative study on the strategies and tactics applied by the mechanical designer during the later phases of the design process. The method chosen for this study is experiment-based, which is appropriate for an in-depth examination of the designer's activities. Six experiments have been run based on three dimensions: 1) the carrying out of basic design tasks

As custom architectures become more and more common for DSP applications, instruction selection and scheduling for such applications and architectures become important topics. In this paper, we explore the effects of defining the problem of finding an optimal instruction selection and scheduling as a constraint satisfaction problem (CSP). We incorporate methods based on sub-graph isomorphism and g

Traditional efforts in standardizing video coding used to involve a lengthy process that resulted in large monolithic standards and reference codes. This approach has become increasingly ill-suited to the dynamics and the fast changing needs of the video coding community. Most importantly, there used to be no principled approach to leveraging the significant commonalities between the different cod

A major challenge when designing general purpose graphics hardware is to allow efficient access to texture data. Although different rendering paradigms vary with respect to their data access patterns, there is no flexibility when it comes to data caching provided by the graphics architecture. In this paper we focus on volume ray-casting, and show the benefits of algorithm-aware data caching. Our M

This paper addresses design space exploration for streaming applications (such as MPEG) running on multi-processor platforms with guaranteed service interconnects. In particular, we solve mapping, path selection and router configuration problems. Given the complexity of these problems, state of the art approaches in this area largely rely on greedy heuristics, which do not guarantee optimality. Ou