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Ogasawara E.,Federal University of Rio de Janeiro | de Oliveira D.,Federal University of Rio de Janeiro | Valduriez P.,French Institute for Research in Computer Science and Automation | Dias J.,Federal University of Rio de Janeiro | And 2 more authors.
Proceedings of the VLDB Endowment | Year: 2011

Scientific workflows have emerged as a basic abstraction for structuring and executing scientific experiments in computational environments. In many situations, these workflows are computationally and data intensive, thus requiring execution in large-scale parallel computers. However, parallelization of scientific workflows remains low-level, ad-hoc and laborintensive, which makes it hard to exploit optimization opportunities. To address this problem, we propose an algebraic approach (inspired by relational algebra) and a parallel execution model that enable automatic optimization of scientific workflows. We conducted a thorough validation of our approach using both a real oil exploitation application and synthetic data scenarios. The experiments were run in Chiron, a data-centric scientific workflow engine implemented to support our algebraic approach. Our experiments demonstrate performance improvements of up to 226% compared to an ad-hoc workflow implementation. © 2011 VLDB Endowment.

Correa G.O.,LNCC | Sales D.M.,IME
European Control Conference, ECC 1999 - Conference Proceedings | Year: 2015

In this paper, the H2/H problem is considered in a transfer-function setting, i.e., without a priori chosen bounds on controller order. A descent procedure is described which is based on an explicit parametrization of all feasible and descent directions stemming from a given point on the boundary of the feasible transfer-function set. A search direction at each such point can be obtained as the solution of a convex finite-dimensional problem which can be converted into a LMI problem. The procedure in question keeps generating feasible points with decreasing cost values unless the global optimal is attained. © 1999 EUCA.

2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings | Year: 2011

With people paying more attention to the performance of automotive safety, car manufacturers continue to improve the vehicle itself. In this paper, several design laws are concluded by improving the legform to bumper tests of a SUV. When the height of lower bumper reference line is between 425mm and 500mm, the upper legform test can be chosen instead of the lower legform test. Meanwhile, based on the suitable package for deformation of the legform, the performance of legform can be achieved by optimizing the padding. This principle could also be taken as a reference in legform impact design of SUV type of vehicle. © 2011 IEEE.

Thomaz C.E.,Slovak University of Technology in Bratislava | Giraldi G.A.,LNCC
Image and Vision Computing | Year: 2010

In this work, we investigate a new ranking method for principal component analysis (PCA). Instead of sorting the principal components in decreasing order of the corresponding eigenvalues, we propose the idea of using the discriminant weights given by separating hyperplanes to select among the principal components the most discriminant ones. The method is not restricted to any particular probability density function of the sample groups because it can be based on either a parametric or non-parametric separating hyperplane approach. In addition, the number of meaningful discriminant directions is not limited to the number of groups, providing additional information to understand group differences extracted from high-dimensional problems. To evaluate the discriminant principal components, separation tasks have been performed using face images and three different databases. Our experimental results have shown that the principal components selected by the separating hyperplanes allow robust reconstruction and interpretation of the data, as well as higher recognition rates using less linear features in situations where the differences between the sample groups are subtle and consequently most difficult for the standard and state-of-the-art PCA selection methods. © 2009 Elsevier B.V. All rights reserved.

Lara P.C.S.,LNCC | Portugal R.,LNCC | Boettcher S.,Emory University
International Journal of Quantum Information | Year: 2013

We analyze discrete-time quantum walks on Sierpinski gaskets using a flip-flop shift operator with the Grover coin. We obtain the scaling of two important physical quantities: The mean-square displacement, and the mixing time as function of the number of points. The Sierpinski gasket is a fractal that lacks translational invariance and the results differ from those described in the literature for ordinary lattices. We find that the diffusion scaling depends on the initial location. Averaged over all initial locations, our simulation obtain an exponent very similar to the classical diffusion. © 2013 World Scientific Publishing Company.

Amaral V.,State University of Maringa | Giraldi G.A.,LNCC | Thomaz C.E.,State University of Maringa
ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods | Year: 2016

The feature extraction is one of the most important steps in face analysis applications and this subject always received attention in the computer vision and pattern recognition areas due to its applicability and wide scope. However, to define the correct spatial relevance of physiognomical features remains a great challenge. It has been proposed recently, with promising results, a statistical spatial mapping technique that highlights the most discriminating facial features using some task driven information from data mining. Such priori information has been employed as a spatial weighted map on Local Binary Pattern (LBP), that uses Chi-Square distance as a nearest neighbour based classifier. Intending to reduce the dimensionality of LBP descriptors and improve the classification rates we propose and implement in this paper two quad-tree image decomposition algorithms to task related spatial map segmentation. The first relies only on split step (top-down) of distinct regions and the second performs the split step followed by a merge step (bottom-up) to combine similar adjacent regions. We carried out the experiments with two distinct face databases and our preliminary results show that the top-down approach achieved similar classification results to standard segmentation using though less regions. © Copyright 2016 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.

Augusto D.A.,LNCC | Barbosa H.J.C.,Federal University of Rio de Janeiro | Ebecken N.F.F.,LNCC
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 | Year: 2010

This work presents a new evolutionary ensemble method for data classification, which is inspired by the concepts of bagging and boosting, and aims at combining their good features while avoiding their weaknesses. The approach is based on a distributed multiple-population genetic programming (GP) algorithm which exploits the technique of coevolution at two levels. On the inter-population level the populations cooperate in a semi-isolated fashion, whereas on the intrapopulation level the candidate classifiers coevolve competitively with the training data samples. The final classifier is a voting committee composed by the best members of all the populations. The experiments performed in a varying number of populations show that our approach outperforms both bagging and boosting for a number of benchmark problems. Copyright 2010 ACM.

Malta S.M.C.,LNCC | Castro R.G.S.,Laboratory Of Ciencias Matematicas
International Journal of Computer Mathematics | Year: 2010

We present finite-element approaches to investigate the dynamical evolution of two-dimensional miscible porous media flows in the quarter five-spot arrangement. This takes into account the appearance of viscous fingers and its influence on the breakthrough time of the injected fluid and on the reservoir sweep. Then, two viscosity-concentration relationships for larger values of mobility ratios (the rate between the viscosities of resident and solvent fluids) and Peclet numbers are considered. The numerical discretization is carried out by two stabilized finite-element formulations, with the concentration calculated via a fully Galerkin/least-squares space-time (GLS/ST) method and a streamline upwind Petrov-Galerkin semi-discrete approach. Darcy's equation (velocity approximation) is treated via a precise post-processing technique. Some numerical test cases are exhibited demonstrating good physical behaviours in the presence of finger instabilities. Besides, the influence of the two parameters: mobility ratio and Peclet number on the reservoir recovery are also addressed showing that the GLS/ST approach is a good alternative to deal with miscible fingering problems. © 2010 Taylor & Francis.

PARIS, 23-Nov-2016 — /EuropaWire/ — Atos, an international leader in digital services, and CEA announce that the first Bull sequana equipped with BXI (Bull eXascale Interconnect) has entered the TOP500 ranking of the most powerful supercomputers in the world. A total of 20 supercomputers developed by Atos are currently ranked in the TOP500 list*. The Bull sequana supercomputer equipped with BXI is the first “cell” of the 25-petaflop supercomputer that Atos will supply to the The French Alternative Energies and Atomic Energy Commission (CEA) in 2017 as part of the Tera1000 project. Its architecture heralds the next generation of exascale supercomputers for the 2020s. The first phase of the Tera1000 supercomputer at CEA is currently ranked #55 in the TOP500. The system that is ranked in the TOP500 is a single Bull sequana cell, featuring 85 compute blades interconnected by a BXI network, with a total of 220 Intel® Xeon Phi™ 7250 processors, coming to a theoretical peak power of 670 teraflops[1]. It is developing a Linpack performance of 380.5 teraflops. For the first time in the world, a supercomputer is equipped with the new generation BXI network developed by Atos. BXI is one of the key technologies that will eventually enable us to reach exascale level performances. Bull sequana supercomputers are produced at the Atos factory in Angers, France. They are designed based on the worldwide expertise of engineers from the Atos group, as well as long-standing partnerships with major customers such as the CEA: the tried-and-tested methodology of co-design aims to optimise the performance of the simulation code – supercomputer pairing. As François Geleznikoff, Head of the CEA’s Military Applications Division, says: “Meeting the challenge of exaflops and big data is a major issue for research, defence and industry, as it opens up a whole field that today remains unexplored and inaccessible, making it possible for us to not only understand, but also simulate complex physical phenomena and industrial systems. In Europe, the CEA, in partnership with Atos, is particularly well positioned to meet this challenge – both in terms of the expertise of its teams, and the dynamism of its computing facilities, which are open to all fields of research and industry.” Philippe Vannier, Executive Vice-President in charge of Big Data & Security and the Chief Technology Officer in the Atos Group, adds: “Atos is incredibly proud to see the concrete results of the Tera1000 project. Today we are taking a major step on the road towards exaflops. Undoubtedly, the interconnect technologies will provide a crucial contribution in achieving exaflops performance. With BXI, Atos is confirming its leadership in the field of supercomputers and beyond in the processing of very large volumes of data.” The Atos supercomputer ‘Santos Dumont’ at LNCC in Brazil ranked #364 received an award from the TOP500 organization as it is the largest supercomputer in South America. *List of Atos supercomputers worldwide that are ranked in the TOP500: About the CEA and the Military Applications Division The French Alternative Energies and Atomic Energy Commission (CEA) is a public research organization working in four main areas: defense and security, nuclear and renewable energies, technological research for industry and fundamental research. Building on its recognized expertise, the CEA takes part in implementing cooperation projects with a wide range of academic and industrial partners. With its 16,000 researchers and employees, it is a major player in European research and is also expanding its international presence.  The CEA’s Military Applications Division (“DAM”) takes charge of defence and security missions. The DAM is responsible for the design, manufacture and through-life support of the nuclear warheads that equip France’s sea- and airborne deterrence forces and of the nuclear reactors and reactor cores on French Navy submarines and aircraft carrier. The DAM also contributes to national and global security through the technical support it provides to the authorities relative to the prevention of nuclear proliferation and terrorism in chemical, biological, radiological, nuclear and explosives domains (CBRN-E) and cybersecurity. About Atos Atos SE (Societas Europaea) is a leader in digital services with pro forma annual revenue of circa € 12 billion and circa 100,000 employees in 72 countries. Serving a global client base, the Group provides Consulting & Systems Integration services, Managed Services & BPO, Cloud operations, Big Data & Cybersecurity solutions, as well as transactional services through Worldline, the European leader in the payments and transactional services industry. With its deep technology expertise and industry knowledge, the Group works with clients across different business sectors: Defense, Financial Services, Health, Manufacturing, Media, Utilities, Public sector, Retail, Telecommunications, and Transportation. Atos is focused on business technology that powers progress and helps organizations to create their firm of the future. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and is listed on the Euronext Paris market. Atos operates under the brands Atos, Atos Consulting, Atos Worldgrid, Bull, Canopy, Unify and Worldline. For more information, visit: atos.net. [1] Flops: FLoating-point Operations Per Second. The prefixes “tera”, “peta” and “exa” indicate the number of operations carried out in a second: tera = 1012 or thousand billions; peta = 1015 or million billions; exa = 1018 or billion billions.

This report studies Hydroxyethyl Cellulose(HEC) in Global Market, especially in North America, Europe, China, Japan, Southeast Asia and India, focuses on top manufacturers in global market, with capacity, production, price, revenue and market share for each manufacturer, covering  Ashland  Dow Chemical  Shin-Etsu Chemical  Samsung Fine Chemicals  AkzoNobel  Daicel  LNCC  Shandong Head  Shandong Yiteng  Ruitai  Shangyu Chuangfeng  Zhejiang Haishen  Wuxi Sanyou  Hubei Xiangtai Market Segment by Regions, this report splits Global into several key Regions, with production, consumption, revenue, market share and growth rate of Hydroxyethyl Cellulose(HEC) in these regions, from 2011 to 2021 (forecast), like  North America  Europe  China  Japan  Southeast Asia  India Split by product type, with production, revenue, price, market share and growth rate of each type, can be divided into  Type I  Type II  Type III Split by application, this report focuses on consumption, market share and growth rate of Hydroxyethyl Cellulose(HEC) in each application, can be divided into  Application 1  Application 2  Application 3 Global Hydroxyethyl Cellulose(HEC) Market Research Report 2016  1 Hydroxyethyl Cellulose(HEC) Market Overview  1.1 Product Overview and Scope of Hydroxyethyl Cellulose(HEC)  1.2 Hydroxyethyl Cellulose(HEC) Segment by Type  1.2.1 Global Production Market Share of Hydroxyethyl Cellulose(HEC) by Type in 2015  1.2.2 Type I  1.2.3 Type II  1.2.4 Type III  1.3 Hydroxyethyl Cellulose(HEC) Segment by Application  1.3.1 Hydroxyethyl Cellulose(HEC) Consumption Market Share by Application in 2015  1.3.2 Application 1  1.3.3 Application 2  1.3.4 Application 3  1.4 Hydroxyethyl Cellulose(HEC) Market by Region  1.4.1 North America Status and Prospect (2011-2021)  1.4.2 Europe Status and Prospect (2011-2021)  1.4.3 China Status and Prospect (2011-2021)  1.4.4 Japan Status and Prospect (2011-2021)  1.4.5 Southeast Asia Status and Prospect (2011-2021)  1.4.6 India Status and Prospect (2011-2021)  1.5 Global Market Size (Value) of Hydroxyethyl Cellulose(HEC) (2011-2021) 2 Global Hydroxyethyl Cellulose(HEC) Market Competition by Manufacturers  2.1 Global Hydroxyethyl Cellulose(HEC) Capacity, Production and Share by Manufacturers (2015 and 2016)  2.2 Global Hydroxyethyl Cellulose(HEC) Revenue and Share by Manufacturers (2015 and 2016)  2.3 Global Hydroxyethyl Cellulose(HEC) Average Price by Manufacturers (2015 and 2016)  2.4 Manufacturers Hydroxyethyl Cellulose(HEC) Manufacturing Base Distribution, Sales Area and Product Type  2.5 Hydroxyethyl Cellulose(HEC) Market Competitive Situation and Trends  2.5.1 Hydroxyethyl Cellulose(HEC) Market Concentration Rate  2.5.2 Hydroxyethyl Cellulose(HEC) Market Share of Top 3 and Top 5 Manufacturers  2.5.3 Mergers & Acquisitions, Expansion 3 Global Hydroxyethyl Cellulose(HEC) Capacity, Production, Revenue (Value) by Region (2011-2016)  3.1 Global Hydroxyethyl Cellulose(HEC) Capacity and Market Share by Region (2011-2016)  3.2 Global Hydroxyethyl Cellulose(HEC) Production and Market Share by Region (2011-2016)  3.3 Global Hydroxyethyl Cellulose(HEC) Revenue (Value) and Market Share by Region (2011-2016)  3.4 Global Hydroxyethyl Cellulose(HEC) Capacity, Production, Revenue, Price and Gross Margin (2011-2016)  3.5 North America Hydroxyethyl Cellulose(HEC) Capacity, Production, Revenue, Price and Gross Margin (2011-2016)  3.6 Europe Hydroxyethyl Cellulose(HEC) Capacity, Production, Revenue, Price and Gross Margin (2011-2016)  3.7 China Hydroxyethyl Cellulose(HEC) Capacity, Production, Revenue, Price and Gross Margin (2011-2016)  3.8 Japan Hydroxyethyl Cellulose(HEC) Capacity, Production, Revenue, Price and Gross Margin (2011-2016)  3.9 Southeast Asia Hydroxyethyl Cellulose(HEC) Capacity, Production, Revenue, Price and Gross Margin (2011-2016)  3.10 India Hydroxyethyl Cellulose(HEC) Capacity, Production, Revenue, Price and Gross Margin (2011-2016) 4 Global Hydroxyethyl Cellulose(HEC) Supply (Production), Consumption, Export, Import by Regions (2011-2016) 4.1 Global Hydroxyethyl Cellulose(HEC) Consumption by Regions (2011-2016)  4.2 North America Hydroxyethyl Cellulose(HEC) Production, Consumption, Export, Import by Regions (2011-2016)  4.3 Europe Hydroxyethyl Cellulose(HEC) Production, Consumption, Export, Import by Regions (2011-2016)  4.4 China Hydroxyethyl Cellulose(HEC) Production, Consumption, Export, Import by Regions (2011-2016)  4.5 Japan Hydroxyethyl Cellulose(HEC) Production, Consumption, Export, Import by Regions (2011-2016)  4.6 Southeast Asia Hydroxyethyl Cellulose(HEC) Production, Consumption, Export, Import by Regions (2011-2016)  4.7 India Hydroxyethyl Cellulose(HEC) Production, Consumption, Export, Import by Regions (2011-2016) Wise Guy Reports Is Part Of The Wise Guy Consultants Pvt. Ltd. And Offers Premium Progressive Statistical Surveying, Market Research Reports, Analysis & Forecast Data For Industries And Governments Around The Globe. Wise Guy Reports Understand How Essential Statistical Surveying Information Is For Your Organization Or Association. Therefore, We Have Associated With The Top Publishers And Research Firms All Specialized In Specific Domains, Ensuring You Will Receive The Most Reliable And Up To Date Research Data Available.

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