Searched for: subject%3A%22process%22
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Tijs, B.H.A.H. (author), Lopes, CS (author), Turon, A. (author), Bisagni, C. (author), Waleson, J. (author), van Ingen, J.W. (author), Veldman, S.L. (author)
This paper summarizes the implementation of a Virtual Testing methodology in an industrial environment to predict the mechanical behaviour of composite material through the different scales of the conventional physical testing pyramid. A robust Virtual Test Lab allows for the generation of virtual allowables, while advanced interface models...
conference paper 2018
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Kleinrouweler, Jan Willem (author), Meixner, Britta (author), Bosman, Joost (author), Van Den Berg, Hans (author), Van Der Mei, Rob (author), Cesar, Pablo (author)
Frequent variations in throughput make mobile networks a challenging environment for video streaming. Current video players deal with those variations by matching video quality to network throughput. However, this adaptation strategy results in frequent changes of video resolution and bitrate, which negatively impacts the users' streaming...
conference paper 2018
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Kislaya, A. (author), Deka, Antaran (author), Veenstra, Peter (author), Tam, D.S.W. (author), Westerweel, J. (author)
In micro-PIV, reaching the optimum image density has always been difficult due to high displacement gradient, coagulation of particles at the inlet and due to particles adhering to the surface to name a few. The most widely used method is to take ensemble correlation average of multiple PIV images to extract the velocity field. However, this...
conference paper 2018
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Luthfi, A. (author), Rehena, Z. (author), Janssen, M.F.W.H.A. (author), Crompvoets, Joep (author)
Governments are releasing their data to the public to accomplish benefits like the creation of transparency, accountability, citizen engagement and to enable business innovation. At the same time, decision-makers are reluctant to open their data due to some potential risks like misuse, sensitivity, ownership, and inaccuracy of the data. The...
conference paper 2018
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Coutino, Mario (author), Isufi, E. (author), Leus, G.J.T. (author)
The main challenges distributed graph filters face in practice are the communication overhead and computational complexity. In this work, we extend the state-of-the-art distributed finite impulse response (FIR) graph filters to an edge-variant (EV) version, i.e., a filter where every node weights the signals from its neighbors with different...
conference paper 2018
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Pribić, Radmila (author), Leus, G.J.T. (author)
A stochastic approach to resolution based on information distances computed from the geometry of data models which is characterized by the Fisher information is explored. Stochastic resolution includes probability of resolution and signal-to-noise ratio (SNR). The probability of resolution is assessed from a hypothesis test by exploiting...
conference paper 2018
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Liu, J. (author), Isufi, E. (author), Leus, G.J.T. (author)
In graph signal processing, signals are processed by explicitly taking into account their underlying structure, which is generally characterized by a graph. In this field, graph filters play a major role to process such signals in the so-called graph frequency domain. In this paper, we focus on the design of autoregressive moving average ...
conference paper 2018
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Yu, J. (author), Du Nguyen, H.A. (author), Xie, L. (author), Taouil, M. (author), Hamdioui, S. (author)
CMOS technology and its continuous scaling have made electronics and computers accessible and affordable for almost everyone on the globe; in addition, they have enabled the solutions of a wide range of societal problems and applications. Today, however, both the technology and the computer architectures are facing severe challenges/walls making...
conference paper 2018
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Uta, Alexandru (author), Au, S.T. (author), Ilyushkin, A.S. (author), Iosup, A. (author)
Graphs are a natural fit for modeling concepts used in solving diverse problems in science, commerce, engineering, and governance. Responding to the diversity of graph data and algorithms, many parallel and distributed graph-processing systems exist. However, until now these platforms use a static model of deployment: they only run on a pre...
conference paper 2018
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Uta, Alexandru (author), Varbanescu, A.L. (author), Musaafir, Ahmed (author), Lemaire, Chris (author), Iosup, A. (author)
The question 'Can big data and HPC infrastructure converge?' has important implications for many operators and clients of modern computing. However, answering it is challenging. The hardware is currently different, and fast evolving: big data uses machines with modest numbers of fat cores per socket, large caches, and much memory, whereas HPC...
conference paper 2018
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Coutino, Mario (author), Chepuri, S.P. (author), Leus, G.J.T. (author)
In this work, we address the problem of identifying the underlying network structure of data. Different from other approaches, which are mainly based on convex relaxations of an integer problem, here we take a distinct route relying on algebraic properties of a matrix representation of the network. By describing what we call possible...
conference paper 2018
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Isufi, E. (author), Di Lorenzo, Paolo (author), Banelli, Paolo (author), Leus, G.J.T. (author)
This paper proposes strategies for distributed Wiener-based reconstruction of graph signals from subsampled measurements. Given a stationary signal on a graph, we fit a distributed autoregressive moving average graph filter to a Wiener graph frequency response and propose two reconstruction strategies: i) reconstruction from a single temporal...
conference paper 2018
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Slob, E.C. (author), Wapenaar, C.P.A. (author), Treitel, Sven (author)
We derive a fast acoustic inversion method for a piecewise homogeneous horizontally layered medium. The method obtains medium parameters from the reflection response. The method can be implemented to obtain the parameters on either side of a reflector at an arbitrary depth. Three processing steps lead to the inversion result. First, we solve a...
conference paper 2018
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Martins Da Ponte, R. (author), Giagka, Vasiliki (author), Serdijn, W.A. (author)
This paper reports on the design and fabrication of a time-mode signal-processing in situ temperature sensor customized for an organ-on-a-chip (OOC) application. The circuit was fabricated using an in-house integrated circuit (IC) technology that requires only seven lithographic steps and is compatible with MEMS fabrication process. The...
conference paper 2018
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Chepuri, S.P. (author), Eldar, Yonina C. (author), Leus, G.J.T. (author)
In this paper the focus is on sampling and reconstruction of signals supported on nodes of arbitrary graphs or arbitrary signals that may be represented using graphs, where we extend concepts from generalized sampling theory to the graph setting. To recover such signals from a given set of samples, we develop algorithms that incorporate prior...
conference paper 2018
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Darusalam, D. (author), Janssen, M.F.W.H.A. (author), Ubacht, J. (author)
Governments are seeking for new ways to fight corruption within their own administration. The opening of data has the potential to involve citizens in detecting corruption by providing them the ability to view and analyze data about what is happening within the government. However, how open data can be used to detect corruption is not clear....
conference paper 2018
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Chepuri, S.P. (author), Coutino, Mario (author), Marques, Antonio G. (author), Leus, G.J.T. (author)
An analytical algebraic approach for distributed network identification is presented in this paper. The information propagation in the network is modeled using a state-space representation. Using the observations recorded at a single node and a known excitation signal, we present algorithms to compute the eigenfrequencies and eigenmodes of...
conference paper 2018
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Murray, Gabriel (author), Hung, H.S. (author), Keyton, Joann (author), Lai, Catherine (author), Lehmann-Willenbrock, Nale (author), Oertel, Catharine (author)
Over the last decade, the study of group behavior for multimodal interaction technologies has increased. However, we believe that despite its potential benefits on society, there could be more activity in this area. The aim of this workshop is create a forum for more interdisciplinary dialogue on this topic to enable the acceleration of...
conference paper 2018
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Gama, F. (author), Isufi, E. (author), Leus, G.J.T. (author), Ribeiro, Alejandro (author)
In this work, we jointly exploit tools from graph signal processing and control theory to drive a bandlimited graph signal that is being diffused on a random time-varying graph from a subset of nodes. As our main contribution, we rely only on the statistics of the graph to introduce the concept of controllability in the mean, and therefore...
conference paper 2018
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Gama, F. (author), Marques, Antonio G. (author), Ribeiro, Alejandro (author), Leus, G.J.T. (author)
Superior performance and ease of implementation have fostered the adoption of Convolutional Neural Networks (CNN s) for a wide array of inference and reconstruction tasks. CNNs implement three basic blocks: convolution, pooling and pointwise nonlinearity. Since the two first operations are well-defined only on regular-structured data such as...
conference paper 2018
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