This work presents an image vectorization application aimed to exploit features found in most of today's modern architectures. Design decisions supported by performance results are presented along with use cases f...
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ISBN:
(纸本)9781479914920
This work presents an image vectorization application aimed to exploit features found in most of today's modern architectures. Design decisions supported by performance results are presented along with use cases for the proposed solution. We will present the algorithm, the target architectures and threading models, as well as a number of optimization techniques. Finally results of both low power SoC and high performance multicore processors are discussed.
There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG hea...
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The problem of estimating instantaneous frequency of a nonstationary complex sinusoid (cisoid) buried in wideband noise is considered. The proposed approach extends adaptive notch filtering algorithm with a nontrivial...
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The problem of estimating instantaneous frequency of a nonstationary complex sinusoid (cisoid) buried in wideband noise is considered. The proposed approach extends adaptive notch filtering algorithm with a nontrivial performance assessment mechanism which can be used to optimize frequency tracking performance of the adaptive filter. Simulation results confirm that the proposed extension allows one to improve accuracy of frequency estimates considerably, especially in nonstationary conditions.
The purpose of this paper is to look back on a long term informal innovative experience carried out during the last nine years until the present one, and try to discern, with a retrospective and a long time vision, wh...
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The purpose of this paper is to look back on a long term informal innovative experience carried out during the last nine years until the present one, and try to discern, with a retrospective and a long time vision, whether it has been as beneficial as expected once it has concluded. This experience has taken place in the University College of Engineering of Vitoria (Basque Country University, Spain) since the year 2.004, and it has been accomplished in the subject Company Networks of Technical Engineering in Management Computing. After the analysis of a number of data collected along these years, we found that we have reached the initial objective of increasing the enrolment in the subject that has driven the project, and other unexpected ones that are more important from a long time point of view. Once that nine years have lapsed and the project is going to be finished, we conclude that it is a very positive experience and we recommend doing the same with the new degrees of the European Higher Education Area (EHEA), as we plan.
The objective of this paper is to describe an ongoing work that we are carrying out in the frame of an educational innovation project supported by the Education Advisory Service of the Vicerectorship for Teaching Qual...
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The objective of this paper is to describe an ongoing work that we are carrying out in the frame of an educational innovation project supported by the Education Advisory Service of the Vicerectorship for Teaching Quality and Innovation (University of the Basque Country, Spain). The project is driven by means of the subject of Industrial Informatics of the degree of Industrial Electronic Engineering and automatics (University College of Engineering of Vitoria, Basque Country University, Spain). The design of the project is based on the development of a collaborative work distributed among all the students of the subject, grouped in several teams or working groups. The work developed by each of those groups is complementary, and when all these parts of work are finished, all of them will fit together. The conclusion reached until this moment through the continuous tracking of the students is that there is an increased and more active attendance. Besides, the results reached by the students in different evaluations have improved those reached by means of the traditional paradigm of learning.
In recent years, we are seeing an important increase in network interface transmission rates. This poses a challenge to come up with better methods of mitigating latency at all levels in a computer system. In this pap...
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In recent years, we are seeing an important increase in network interface transmission rates. This poses a challenge to come up with better methods of mitigating latency at all levels in a computer system. In this paper, we propose an approach that works well in systems where scatter-gather transfers are fast compared to memory accesses. We note that, in a Transport level flow, a large part of the Network and Data Link layer headers do not vary. As a result, we assert that it is favorable to store the parts of the header that do not vary, instead of copying them from the socket data structure to the packet buffer for each packet transmission. The network interface then uses scatter-gather to assemble the network packet without explicitly copying data in memory. This approach was partially implemented, but we propose extending it from the Data Link to the superior Network level, hoping that it will aid in lessening the load on legacy hardware at high packet transmission rates.
The nonlinear nature of bioprocesses often leads to the occurrence of the self-sustained oscillations of the biomass concentration in continuous flow bioreactors. For some practical reasons, sometimes it is necessary ...
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The nonlinear nature of bioprocesses often leads to the occurrence of the self-sustained oscillations of the biomass concentration in continuous flow bioreactors. For some practical reasons, sometimes it is necessary to control the oscillatory behaviour, which is usually achieved by changing the dilution rate, but this is not always the best option. Hence, the main idea of this paper is to introduce an additional substrate, which has been previously diluted. Based on the numerical analysis of an unstructured mathematical model, it is shown that by mixing two various substrates (the main and the diluted one), it is possible to induce or eliminate the sustained oscillations. As a result, the contribution of both substrates to the mixture and the degree of dilution of the additional substrate can be treated as new control variables.
Texture classification, texture synthesis, or similar tasks are an active topic in computer vision and pattern recognition. This paper aims to present two spatial pyramid representations for texture classification. Mo...
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Texture classification, texture synthesis, or similar tasks are an active topic in computer vision and pattern recognition. This paper aims to present two spatial pyramid representations for texture classification. Most techniques designed for texture classification are based on machine learning. Images are usually represented as feature vectors, which are then used to train a classifier. In the spatial pyramid representation, images are divided into increasingly fine sub-regions (bins) and features are extracted from each bin. This representation is able to capture details about the fractal structure of the texture images. Two experiments are conducted on popular texture classification data sets, namely Brodatz and UIUCTex. In the experiments, several kernel representations and kernel classifiers are combined and evaluated. It seems that the spatial pyramid in combination with intersection kernel and Kernel Discriminant Analysis gives the best results. The proposed pyramid representations can improve the accuracy by as much as 5% over the standard feature representation, showing that the pyramid structure is indeed useful for texture classification.
In this paper we study state-space realizations of Linear and Time-Invariant (LTI) systems. Motivated by biochemical reaction networks, Gonçalves and Warnick have recently introduced the notion of a Dynamical Str...
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Cloud computing becomes more and more popular providing the means to organize and deliver almost any kind of data and software services. Since it is inherently scalable to support rapid economic growth and productivit...
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ISBN:
(纸本)9781479907342
Cloud computing becomes more and more popular providing the means to organize and deliver almost any kind of data and software services. Since it is inherently scalable to support rapid economic growth and productivity, its distributed data storage layer needs to be capable to address these requirements. A distributed file system contains a large number of cluster nodes and a large number of clients interacting with it. In this article, we propose two acceleration mechanisms based on multi-core network SoC to maximize each cluster node performance. First, the requests to the cluster node are balanced evenly on the platform cores, and second the requests are classified to decrease latency of sensitive operations and improve the overall cluster responsiveness and availability. For implementation, tests and measurements we have used a novel open source distributed file system: Ceph. Among many advantages over the competitors of Ceph we mention preservation of POSIX API, completely decoupled data and metadata and usage of object storage devices instead of block devices.
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