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This paper presents dataflow machines, a model for stream programs aimed at capturing their logical structure in a way that is amenable to analysis, composition, and hardware and software code generation. We discuss the properties of the model, and its relationship to a previous effort, actor machines. Dataflow machines are motivated by the shortcomings of actor machines when generating highly par
We present a rasterizer, based on time-dependent edge equations, that computes analytical visibility in order to render accurate motion blur. The theory for doing the computations in a rasterization framework is derived in detail, and then implemented. To keep the frame buffer requirements low, we also present a new oracle-based compression algorithm for the time intervals. Our results are promisi
We consider the over-fitting problem for multinomial probabilistic Latent Semantic Analysis (pLSA) in collaborative filtering, using a regularization approach. For big data applications, the computational complexity is at a premium and we, therefore, consider a maximum a posteriori approach based on conjugate priors that ensure that complexity of each step remains the same as compared to the un-re
Two smartphone applications were developed with the aim of harvesting insights of vulnerable road user accidents. The apps require a backend database with software tools for generating and managing questionnaires, etc. Such a system was developed using a MySQL database where a user-friendly platform has been developed in CakePHP. The backend system has been successfully developed and been used to
As the demand for connectivity and infotainment services increases in the automotive world, the need to measure and characterize the propagation channels inside vehicles also increases. In this work, a measurement study was performed to investigate the influence of RF cables on in-vehicle channels. It was found that, for the same transmit and receive antenna positions, the routing of the measureme
The focus of this work is detecting pedestrians, captured in a surveillance setting, and locating them in world coordinates. Commonly adopted search strategies operate in the image plane to address the object detection problem with machine learning, for example using scale-space pyramid with the sliding windows methodology or object proposals. In contrast, here a new search space is presented, whi
Realistic network simulations are necessary to assess the performance of any communication system. In this paper, we describe an implementation of a channel model for vehicle-to-vehicle (V2V) communication in the OMNeT++/Plexe simulation environment. The model is based on previous extensive measurements in a V2V multilink highway scenario and cover line-of-sight (LOS) as well as obstructed LOS (OL
The physical proximate composition and physicochemical characteristics, microbiological stability, and in vitro alpha-amylolysis rate of flours produced by conventional dehydration techniques of the edible portions of the aroids Xanthosoma sagittifolium and Colocasia esculenta were investigated. Flours from the edible portion of both tubers did not show significant statistical differences in moist
In this paper, a control-oriented soot model was developed for real-time soot prediction and combustion condition optimization in a gasoline Partially Premixed Combustion (PPC) Engine. PPC is a promising combustion concept that achieves high efficiency, low soot and NOx emissions simultaneously. However, soot emissions were found to be significantly increased with high EGR and pilot injection, the
This paper provides an initial investigation on the application of convolutional neural networks (CNNs) for fingerprint-based positioning using measured massive MIMO channels. When represented in appropriate domains, measured massive MIMO channels have a sparse structure which can be efficiently learned by CNNs for positioning purposes. We evaluate the positioning accuracy of state-of-the-art CNNs
With the advent of IoT and the associated variety of pervasive and context-aware applications, there is an increasing requirement to support the execution of these applications on devices with limited processing power. This is a cost-intensive process as this usually requires the deployment of centralized computing infrastructure accessible via a cloud interface. We envision a distributed executio
Precise air-path control of heavy-duty diesel engines contributes to emission regulation and high engine efficiency. The air path with VGT and EGR system is highly nonlinear with non-minimum-phase-system properties. The authors present a nonlinear control design - Receding Horizon Sliding Control (RHSC) to solve the tracking problem of the air-path. This control method handles the nonlinear dynami
Advanced combustion concepts like partially premixed combustion (PPC) are sensitive to inlet gas conditions especially inlet temperature. To estimate the combustion parameters like ignition delay on a cycle-to-cycle basis, both complementary filter and extended Kalman filter were designed to estimate the inlet temperature, and the ignition delay was calculated with properly estimated temperature.
Student engagement is an important factor when it comes to the learning process. Students who do not feel engaged in their studies risk surface learning, are more likely to fail their exams and might even drop out of their education. The teaching community has tried different methods in order to increase student engagement. One of them is the Contributing Student Pedagogy (CSP), where students con
To examine and compare the diagnostic accuracy of retinal nerve fibre layer (RNFL) thickness measurements using different Stratus optical coherence tomography (OCT) scanning protocols. Stratus OCT data for 90 healthy subjects and 62 glaucoma patients with mild or moderate visual field loss were prospectively collected and analysed using four RNFL thickness protocols that differed in terms of image
X-ray absorption and resonant Auger spectroscopy were used to study the formation and decay of nitrogen and oxygen core excitations in ionic-molecular solid NaNO3. It has been shown that the most prominent features in the electronic structure of both valence and conduction bands of the NaNO3 crystal are determined by molecular states of the quasi-isolated NO3- group. In the Auger decay following t
Adaptive spectral estimation techniques are known to provide good spectral resolution and contrast even when the observation window (OW) is very short. In this paper two adaptive techniques are tested and compared to the averaged periodogram (Welch) for blood velocity estimation. The blood power spectral capon (BPC) method is based on a standard minimum variance technique adapted to account for bo
Fruit and vegetable processors, faced with the challenge of gaining and maintaining a healthy position in the competitive fruit and vegetable sector, are optimising traditional processes towards product quality. Using frozen potatoes as a case study, the aim of this study was to evaluate the potential of improving the texture of potatoes by modifying the processing conditions. The texture of proce
We report on large-scale ab initio multiconfiguration Hartree-Fock calculations for important multiplets including the UV 0.01 multiplet, 2s(2)2p(2)P(J-)2s2p(24)P(J'), in O IV. The resulting transition probabilities should be accurate to +/- 5%-10% for intersystem lines and 1% or better for permitted lines. We present new calculations of line emission coefficients using these transition probabilit
