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Modern scientific collaborations require large-scale data mining and integration processes. Their investigations involve multi-disciplinary expertise and large-scale computational experiments on top of large amounts of data that are located in distributed data repositories running various software systems, and managed by different organizations. Higher-level dataflow languages are used on top of parallel...
The co-clustering consists in reorganizing a data matrix into homogeneous blocks by considering simultaneously the sets of rows and columns. Setting this aim in model-based clustering, adapted block latent models were proposed for binary data and co-occurrence matrix. Regarding continuous data, the latent block model is not appropriated in many cases. As non-negative matrix factorization, it treats...
In this paper, the Local Linear Model Tree (LOLIMOT) founded on Takagi-Sugeno-Kang fuzzy notion is employed for model estimation of a nonlinear HRSG (Heat Recovery Steam Generator) process. This method involves a heuristic search to choose the input partitions space by axis-orthogonal splits. The aim of this work is to enhance accuracy of the dynamic model without increasing its complexity. The boiler...
The SHELL project aims at implementing state of art technologies in the domains of Wireless Sensor Networks, Ambient Intelligence, Context Awareness, Automated Learning, in order to design a new concept for assisting people affected by mental diseases or living alone. The goal to achieve is a modular device kit system, easy to deploy and to use, which will be able to learn to peculiar habits of the...
This paper considers the problem of the definition of adaptation strategies at a high level. It presents two main contributions: a typology of elementary adaptation patterns for the adaptation of navigation; and a process to generate adaptation strategies based on the use and the semi-automatic combination of patterns. An experiment in the e-learning domain has been conducted with a group of volunteers...
Language Model (LM) constitutes one of the key components in Keyword Spotting (KWS). The rapid development of the World Wide Web (WWW) makes it an extremely large and valuable data source for LM training, but it is not optimal to use the raw transcripts from WWW due to the mismatch of content between the web corpus and the test data. This paper proposes a novel two-step data selection method based...
When designing and developing a armament engagement simulation system, the open and reusability of visualization systems are always difficult for engineers. When the necessary demand of the realtime property, realism and compatibility with simulation system is guaranteed, the self-adaption of a visualization system to enable changing applications is required. DOF based modeling method, component model-driven...
Multi-modality, the unique and important property of video data, is typically ignored in existing video adaptation processes. To solve this problem, we propose a novel approach, named multi-modality transfer based on multi- graph optimization (MMT-MGO) in this paper, which leverages multi-modality knowledge generalized by auxiliary classifiers in the source domain to assist multi-graph optimization...
Simulations of mobile networks require the specification of the node movement. The movement is either computed based on mathematical models or given by previously recorded mobility traces. The Mobile Node Trace Generator (MoNoTrac) is a mobility trace generator based on OpenStreetMap data. The simulation area is selected from a real city map and the movement of nodes of different kinds, such as cars...
Data grid provides scalable infrastructure for storage resource and data files management, which supports several scientific applications. Replication is a technique used in data grid to improve the applications'response time and to reduce the bandwidth consumption. An important problem to be addressed is when replication should be trigged. In this paper, we propose a model for a dynamic period that...
In order to support analyzing bullwhip effect and information sharing in supply chain, this paper proposed a HLA distributed simulation method (WS-HLA) which combined Web Service technologies. This method took each supply chain node as a simulation federal, and wrapped these federals as web services that could be run under controlled by RTI. About the structure of WS-HLA, some key issues of implementation...
In this paper, we present an integrated framework for transcribing Mandarin-English code-mixed lectures with improved acoustic and language modeling. The target corpus considered here has almost all utterances in the host language of Mandarin, while many of them are embedded with terms (mostly special terminologies for the course) produced in the guest language of English. For acoustic modeling, we...
The mathematical model of the object in power plant is of extremely significance for the design and analysis of the thermal control system. There are many methods to identify the parameters of the desiring object. In this article, we adopt a modified form of a relatively effective yet simple algorithm called differential evolution algorithm (DE) which is a population based stochastic optimization...
The authors discuss and analyze the complex interplay between rail infrastructure development and land use development of railway station areas in the Netherlands. They argue that although this interrelation has been theorized and studied in the academic literature, the underlying complex and dynamic mechanisms, and the appropriate planning and management responses, are still insufficiently understood...
From a new view of financial distress concept drift, this paper attempts to put forward a new method for dynamic financial distress prediction modeling based on slip time window and multiple support vector machines (SVMs). A new algorithm is designed to dynamically select the proper time window to handle concept drift, and then a dynamic classifier selection method is used to build a combined model...
Underwater acoustic (UWA) communication channels that vary from stationary with sparse arrivals to rapidly varying and fully reverberant present fading, multipath and refractive properties, greatly impede UWA data transmissions. In order to solve this problem, a receiver with the iterative soft-input/soft-output equalization and decoding that employs Repeat-Accumulate (RA) coding joint adaptive decision...
We study a range of neural dynamics under variations in biophysical parameters implementing extended Morris-Lecar and Hodgkin-Huxley models in three gating variables. The dynamics are emulated in NeuroDyn, an analog VLSI programmable neural emulation platform with generalized channel kinetics and biophysical membrane dynamics. We present simulation and measurement results and observe consistent agreement...
Query tools that depend on the ability of programmers, impose a cognitive load that could reduce the user's productivity. Within MDD, the proposal of our work is the creation of a visual query mechanism derived from a historical multidimensional data structure. This mechanism facilitates (and partially automates) the formulation of temporal and decision making queries.
In this paper, an adaptive spectral doppler estimation based on recursive least squares (RLS) algorithm is proposed for blood velocity distribution estimation. The purpose is to (i) minimize the observation window needed to estimate the spectral distribution and get better temporal resolution, (ii) adaptive estimate the spectral distribution using the current data. An optimization problem is built...
Traditional process variation modeling is primarily focused on design-time analysis and optimization. However, with the advances of post-silicon techniques, accurate variation model is also highly desired in various post-silicon applications, such as post-silicon tuning, test vector generation, and reliability prediction. The accuracy of such post-silicon variation models is greatly improved by incorporating...
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