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International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

作者： Elcio A. Bardeli Luciano F. Da Cruz Helon V.H. Ayala Roberto Z. Freire Leandro dos S. Coelho Industrial and Systems Engineering Graduate Program - PPGEPS University of Parana - PUCPR Curitiba Brazil Polytech. Sch. Ind. & Syst. Eng. Grad. Pontificia Universidade Catolica do Parana Curitiba PR BR Electrical Engineering Graduate Program - PPGEE Polytechnic School of the Federal University of Parana - UFPR Curitiba Brazil

Considering that technical skill is the major determinant characteristic of success among competitive swimmers, it is important to coaches to quantify the differences that make one swimmer more efficient than another. One of the most important grants in swimming is the velocity, which can be related to drag forces and provide substantial information about the swimmer technique. The main purpose of this study was to determine the best model to compare swimmers in terms of velocity. In this work, a Radial Basis Function Neural Network (RBF-NN) was used to model the nonlinearity of swim velocity time series. The RBF-NN parameters were adjusted by using four multiobjective optimization methods. The best results in terms of RBF-NN configuration were obtained by the Differential Evolution based algorithms.

关键词： Sociology Optimization methods Time series analysis Measurement Sorting

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Creating common patients and evaluating indiviual results: Issues in indivual simulation for health policy analysis 14

Creating common patients and evaluating indiviual results: I...

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Simulation Winter Conference

作者： David Cornejo Maria E. Mayorga Kristen Hassmiller Lich Operations Research Graduate Program North Carolina State University Raleigh NC USA Department of Industrial and Systems Engineering North Carolina State University Raleigh NC USA Gillings School of Global Public Health The University of North Carolina Chapel Hill NC USA

The research direction in modeling complex, chronic conditions for health policy evaluation has been to incorporate individual heterogeneity. This detail makes our models more powerful and relevant. In implementing an individual simulation model of colorectal cancer we have recognized two considerations related to incorporating individual heterogeneity that have not been adequately discussed in the literature. First, there are substantial computational gains and interpretation benefits if an individual's life courses are identical except when differences are directly induced by an intervention. Achieving this is not trivial. We have developed the notion of a “common patient” who is the same between scenarios except for intervention-induced changes. We create the common patient using a careful application of Common Random Numbers (CRN). Second, when we model differentiated individuals we can examine differing impacts of polices on specific sub-groups. This leverages the detail in individual attributes to produce useful results for policy makers.

关键词： Cancer Sociology Statistics Synchronization Analytical models Diseases

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FANTOM5 CAGE profiles of human and mouse samples

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Scientific Data 2017年第1期4卷 1-10页

作者： Noguchi, Shuhei Arakawa, Takahiro Fukuda, Shiro Furuno, Masaaki Hasegawa, Akira Hori, Fumi Ishikawa-Kato, Sachi Kaida, Kaoru Kaiho, Ai Kanamori-Katayama, Mutsumi Kawashima, Tsugumi Kojima, Miki Kubosaki, Atsutaka Manabe, Ri-Ichiroh Murata, Mitsuyoshi Nagao-Sato, Sayaka Nakazato, Kenichi Ninomiya, Noriko Nishiyori-Sueki, Hiromi Noma, Shohei Saijyo, Eri Saka, Akiko Sakai, Mizuho Simon, Christophe Suzuki, Naoko Tagami, Michihira Watanabe, Shoko Yoshida, Shigehiro Arner, Peter Axton, Richard A. Babina, Magda Kenneth Baillie, J. Barnett, Timothy C. Beckhouse, Anthony G. Blumenthal, Antje Bodega, Beatrice Bonetti, Alessandro Briggs, James Brombacher, Frank Carlisle, Ailsa J. Clevers, Hans C. Davis, Carrie A. Detmar, Michael Dohi, Taeko Edge, B. Albert S. Edinger, Matthias Ehrlund, Anna Ekwall, Karl Endoh, Mitsuhiro Enomoto, Hideki Eslami, Afsaneh Fagiolini, Michela Fairbairn, Lynsey Farach-Carson, Mary C. Faulkner, Geoffrey J. Ferrai, Carmelo Fisher, Malcolm E. Forrester, Lesley M. Fujita, Rie Furusawa, Jun-Ichi Geijtenbeek, Teunis B. Gingeras, Thomas Goldowitz, Daniel Guhl, Sven Guler, Reto Gustincich, Stefano Ha, Thomas J. Hamaguchi, Masahide Hara, Mitsuko Hasegawa, Yuki Herlyn, Meenhard Heutink, Peter Hitchens, Kelly J. Hume, David A. Ikawa, Tomokatsu Ishizu, Yuri Kai, Chieko Kawamoto, Hiroshi Kawamura, Yuki I. Kempfle, Judith S. Kenna, Tony J. Kere, Juha Khachigian, Levon M. Kitamura, Toshio Klein, Sarah Peter Klinken, S. Knox, Alan J. Kojima, Soichi Koseki, Haruhiko Koyasu, Shigeo Lee, Weonju Lennartsson, Andreas MacKay-Sim, Alan Mejhert, Niklas Mizuno, Yosuke Morikawa, Hiromasa Morimoto, Mitsuru Moro, Kazuyo Morris, Kelly J. Motohashi, Hozumi Mummery, Christine L. Nakachi, Yutaka Nakahara, Fumio Nakamura, Toshiyuki Nakamura, Yukio Nozaki, Tadasuke Ogishima, Soichi Ohkura, Naganari Ohno, Hiroshi Ohshima, Mitsuhiro Okada-Hatakeyama, Mariko Okazaki, Yasushi Orlando, Valerio Ovchinnikov, Dmitry A. Passier, Robert Patrikakis, Margaret Pombo, Ana Pradhan-Bhatt, Swati Qin, Xian-Yang Rehli, Michael Rizzu, Patrizia Roy, S Division of Genomic Technologies RIKEN Center for Life Science Technologies Yokohama Kanagawa 230-0045 Japan RIKEN Omics Science Center Yokohama Kanagawa 230-0045 Japan Department of Medicine Karolinska Institutet Stockholm 14186 Sweden Karolinska University Hospital Center for Metabolism and Endocrinology Stockholm 14186 Sweden Scottish Centre for Regenerative Medicine University of Edinburgh 5 Little France Drive Edinburgh EH164UU United Kingdom Department of Dermatology and Allergy Charite University Medicine Berlin Charitéplatz 1 Berlin 10117 Germany Roslin Institute and Royal School of Veterinary Studies University of Edinburgh Edinburgh EH259RG United Kingdom Australian Infectious Diseases Research Centre University of Queensland St Lucia 4072 QLD Australia School of Chemistry and Molecular Biosciences University of Queensland St Lucia 4072 QLD Australia Bio-Rad Laboratories Pty Ltd Hercules 94547 CA United States University of Queensland Diamantina Institute University of Queensland Woolloongabba 4102 QLD Australia IRCCS Fondazione Santa Lucia Via del Fosso di Fiorano 64 Rome 00143 Italy Australian Institute for Bioengineering and Nanotechnology University of Queensland Brisbane St Lucia 4072 QLD Australia Division of Immunology Institute of Infectious Diseases and Molecular Medicine University of Cape Town Anzio Road Observatory 7925 South Africa Immunology of Infectious Diseases Faculty of Health Sciences South African Medical Research Council University of Cape Town Anzio Road 7925 South Africa International Centre for Genetic Engineering and Biotechnology Cape Town Component Anzio Road 7925 South Africa Hubrecht Institute Royal Netherlands Academy of Arts and Sciences Uppsalalaan 8 3584 Netherlands University Medical Centre Utrecht Postbus 85500 Utrecht 3508 Netherlands Genomics Cold Spring Harbor Laboratory Cold Spring Harbor New York 11797 NY United States Institute of Pharmaceutical Sciences ETH Zurich Vladi

In the FANTOM5 project, transcription initiation events across the human and mouse genomes were mapped at a single base-pair resolution and their frequencies were monitored by CAGE (Cap Analysis of Gene Expression) coupled with single-molecule sequencing. Approximately three thousands of samples, consisting of a variety of primary cells, tissues, cell lines, and time series samples during cell activation and development, were subjected to a uniform pipeline of CAGE data production. The analysis pipeline started by measuring RNA extracts to assess their quality, and continued to CAGE library production by using a robotic or a manual workflow, single molecule sequencing, and computational processing to generate frequencies of transcription initiation. Resulting data represents the consequence of transcriptional regulation in each analyzed state of mammalian cells. Non-overlapping peaks over the CAGE profiles, approximately 200,000 and 150,000 peaks for the human and mouse genomes, were identified and annotated to provide precise location of known promoters as well as novel ones, and to quantify their activities.

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Sustainable procedures audit structural model proposition 22

Sustainable procedures audit structural model proposition

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22nd International Conference on Production Research, ICPR 2013

作者： Pereira, Everaldo Antonio R. De Lima, E. Pinheiro Gouvea Da Costa, S.E. Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Imaculada Conceicao St. 1155 Curitiba Parana Brazil

The paper proposes a model for expanded audit of operations strategy that considers the social, economic and environmental in the process of formulation and review of evidence to validate a sustainable operation. The proposed model calls for the operations strategy of an organization should be linked to 3 vertices: sustainability of operations, strategic indicators and auditing. A management audit aims to provide a thorough analysis of the company taking into account the effects of the changes caused by uncontrollable external variables and thus the challenge of being the first international standard for managing corporate responsibility, focusing on audit and social reporting, the AA1000, presents a strategic integration of sustainability indicators that, using the principles of management audit, planning determines an audit to validate sustainable operations. Thus, the main contribution of this work to the operations strategy is to propose an extensible model that allows auditing incorporate the new demands that are imposed on managers dynamically, but that meet the high performance sustainable.

关键词： Sustainable development

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Sustainability standards and guidelines requirements for integrated management 22

Sustainability standards and guidelines requirements for int...

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22nd International Conference on Production Research, ICPR 2013

作者： Hundzinski, L.N. De Lima, E. Pinheiro Gouvea Da Costa, S.E. Machado, C.G. Cestari, J.M.A.P. Kluska, R.A. Industrial and Systems Engineering Graduate Program Pontifical Catholic Univeristy of Paraná - PUCPR R. Imaculada Conceição 1155 Curitiba Paraná Brazil

Organizations are influenced by external demands which can be represented by changes on the markets organizations are part of. Companies are operating on a new context, where the importance of sustainability has been highlighted by events such as environmental problems, social responsibility issues and quality assurance of products and services. Those aspects are represented by the areas of the Triple Bottom-Line (3BL), which treat organizations operational performance on economic, environmental and social aspects. However, organizations are still trying to develop new performance measurement systems, which relate to the 3BL and that can be used for sustainable performance assessment and benchmarking. In order to address this need, this research aims to develop a process that enables standards and guidelines to be used as tools for the establishment of a performance measurement system which can address the needs of integrated management on behalf of sustainability aspects. The method used on the development of this article is based on concepts of the Process Approach methodology from Cambridge University, as well as Business Process Management Notation to represent processes for performance assessment. Those processes were built with a high emphasis on Performance Assessment frameworks and Key Performance Indicators (KPIs) theories. The processes generated have been applied in a project of innovation in sustainable management, in which its application enabled to work with requirements from various standards and guidelines in a practical context, through the usage of indicators and performance measurement. Exemplifying the application of this process, the article will aim to clarify the usage of indicators based on standards and guidelines as a tool for sustainability assessment, through an integrated management of an organization set of standards and guidelines.

关键词： Sustainable development

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An overview of enterprise interoperability assessment 22

An overview of enterprise interoperability assessment

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22nd International Conference on Production Research, ICPR 2013

作者： Cestari, J.M.A.P. Santos, E.A.P. Loures, E.F.R. Industrial and Systems Engineering Post Graduate Program Pontifical Catholic University of Paraná R. Imaculada Conceição 1155 Curitiba PRCEP: 80.215-901 Brazil

The need for collaboration across companies and across areas in the same company is a reality that systems, people and other stakeholders must deal with it. When there is sharing of information, communication among entities, interaction and integration, progress occurs and, all these components working together can improve enterprise performance. As the need of these 'inter operations' is real, the interoperability is becoming a key factor for companies facing with collaborative-cooperative environments. Enterprise Interoperability Assessment (EIA) provides a company the opportunity to know their strengths, weaknesses and prioritize actions to improve its performance and maturity. This paper presents concepts regarding Enterprise Interoperability focusing in EIA, including some existing models and establishing relationship with CMMI, a reference adopted worldwide, in order to identify common perspectives.

关键词： Interoperability

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Reduction in the environmental impacts caused by the alumina production procces through the use of neural networks 22

Reduction in the environmental impacts caused by the alumina...

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22nd International Conference on Production Research, ICPR 2013

作者： Da Silva, Ruy Gomes Steiner, Maria Teresinha Arns Pontifical Catholic University of Paraná Graduate Program in Industrial and Systems Engineering Rua Imaculada Conceição 1155 Prado Velho Curitiba ParanáCEP: 80.215-901 Brazil

This work's goal is to recognize variable patterns in a process that will serve as basis for the creation of a mathematic model capable of predicting the results for caustic contents in the reject from the alumina production process, denominated Red Mud, making it possible to simulate the best combination among entry variables. By that, the reuse of red mud in civil construction industry is intended, minimizing environmental impacts generated by the excess of red mud discarded in the environment by the mentioned process. This work will perform tests with a historical registers database of entry and exit variables for the process's stage that makes this washing. For the creation of the model, the data will be submitted to an Artificial Neural Network for the training of such patterns that should generate predictions with a low error percentage when compared to the simulated data obtained in laboratories.

关键词： Forecasting

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CT slice retrieval by shape ellipses descriptors for skull repairing

CT slice retrieval by shape ellipses descriptors for skull r...

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2013 20th IEEE International Conference on Image Processing, ICIP 2013

作者： Rudek, Marcelo Canciglieri Jr., Osiris Jahnen, Andreas Bichinho, Gerson Linck Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana PUCPR Brazil Public Research Centre Henri Tudor Luxembourg Technology in Healthcare Postgraduate Program Pontifical Catholic University of Parana PUCPR Brazil

ISBN: (纸本)9781479923410

This paper addresses the problem of automated prosthesis modelling and manufacturing, whose machining parameters are based on images extracted from different medical databases. The specific case of 3D surface restoration of a defective skull was used as study case. A method based on adjusted ellipses on skull bone curvature performs the symbolic representation of searching parameters. The superellipse concept permits to define geometric parameters to fit an ellipse on each Computed Tomography slice. Those ellipse descriptors can be used as a template for the retrieval of similar images from databases whose parameters match the sampled image. The similarity is measured according to the best fitness values through an optimization algorithm. The slices found by similarity are retrieved from all databases in order to build the 3D model. Experiments show that the proposed method is a promising technique for content based image retrieval. © 2013 IEEE.

关键词： Medical imaging

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Swim velocity profile identification by using a modified differential evolution method associated with RBF Neural Network

Swim velocity profile identification by using a modified dif...

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2013 3rd International Conference on Innovative computing Technology, INTECH 2013

作者： Santos Coelho, Leandro Dos Da Cruz, Luciano Ferreira Freire, Roberto Zanetti Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba PR Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba PR Brazil

ISBN: (纸本)9781479900473

High level sports require a steady intensification of training in order to raise the athletes' performance. With the purpose of support swimmers and coaches new biomechanical analysis are been performed, becoming one of the most studied areas in swimming. By using technology resources, Esignificant results related to performance improvements are being achieved. Specific analysis of the movements, strength, velocity and projection allow identifying relevant points that directly impact athletes' results. In this context, this work uses a Radial Basis Function Neural Network (RBF-NN) with training combining the Gustafson-Kessel clustering method and the proposed Modified Differential Evolution (MDE) in order to perform the swimmer velocity profile identification. The main idea is to obtain the dynamic of the velocity profile and to use it to improve the athletes' swim style. Differential Evolution (DE) is an evolutionary algorithm that uses a rather greedy and less stochastic approach to solve problems when compared to other evolutionary methods [1]. However, to achieve good performance with DE, the tuning of control parameters is essential as its performance is sensitive to the choice of the mutation and crossover settings. On the other hand, the RBF-NN is a powerful approach for nonlinear identification. This paper combines the two strategies described above proposing a modified DE algorithm based on the association of a sinusoidal signal and chaotic sequences generated by logistic map for the mutation factor tuning. By using data collected from breaststroke and crawl swim style of an elite female swimmer, the validity and the accuracy of the RBF-NN model have been tested by simulations. Results reveal that it is feasible to establish a good model to represent data experimental related to swimming field. Identification results show that MDE outperforms both other tested classical DE approaches for training RBF-NNs in terms of solution quality. © 2013 IEEE.

关键词： Optimization

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Indoors Object Location Protocol in a Smart Home

Indoors Object Location Protocol in a Smart Home

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Annual Conference of the IEEE industrial Electronics Society

作者： Vinicius Prado da Fonseca Paulo F. F. Rosa Systems and Computing Graduate Program Instituto Militar de Engenharia Defense Engineering Graduate Program Instituto Militar de Engenharia

ISBN: (纸本)9781479902255

This article presents a system for tracking the position of objects within a smart home to support a robot assistant in pick-and-place tasks. The current system is capable of estimating the position of an object using the signal strength received by a mobile device in a ZigBee sensor network. Received strength signal indication measurements were done in laboratory for applying a estimation method. Two models were utilized (a) log-distance path loss - model in which signal lost has a random influence with log-normal distribution, and (b) free space decay law - based on the decay law for a signal on a open space. Experiments with satisfactory results were done with a public dataset to benchmark our data.

关键词： Indoors Positioning System RSSI ZigBee

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