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arXiv 2017年

作者： Palka, M. Strzempek, P. Korcyl, G. Bednarski, T. Niedźwiecki, Sz. Bialas, P. Czerwiński, E. Dulski, K. Gajos, A. Glowacz, B. Gorgol, M. Jasińska, B. Kamińska, D. Kajetanowicz, M. Kowalski, P. Kozik, T. Krzemień, W. Kubicz, E. Mohhamed, M. Raczyński, L. Rudy, Z. Rundel, O. Salabura, P. Sharma, N.G. Silarski, M. Smyrski, J. Strzelecki, A. Wieczorek, A. Wiślicki, W. Zieliński, M. Zgardzińska, B. Moskal, P. Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Cracow30-348 Poland Świerk Computing Centre National Centre for Nuclear Research Otwock-Świerk05-400 Poland Department of Nuclear Methods Institute of Physics Maria Curie-Sklodowska University Pl. M. Curie-Sklodowskiej 1 Lublin20-031 Poland High Energy Physics Division National Centre for Nuclear Research Soltana 7 Otwock-Świerk05-400 Poland

In this article it is presented an FPGA based Multi-Voltage Threshold (MVT) system which allows of sampling fast signals (1 − 2 ns rising and falling edge) in both voltage and time domain. It is possible to achieve a precision of time measurement of 20 ps RMS and reconstruct charge of signals, using a simple approach, with deviation from real value smaller than 10%. Utilization of the differential inputs of an FPGA chip as comparators together with an implementation of a TDC inside an FPGA allowed us to achieve a compact multi-channel system characterized by low power consumption and low production costs. This paper describes realization and functioning of the system comprising 192-channel TDC board and a four mezzanine cards which split incoming signals and discriminate them. The boards have been used to validate a newly developed Time-of-Flight Positron Emission Tomography system based on plastic scintillators. The achieved full system time resolution of σ(TOF) ≈ 68 ps is by factor of two better with respect to the current TOF-PET systems. Copyright © 2017, The Authors. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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Improving the fault tolerance of multi-robot networks through a combined control law strategy

Improving the fault tolerance of multi-robot networks throug...

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International Workshop on Reliable Networks Design and Modeling (RNDM)

作者： Cinara Ghedini Carlos H. C. Ribeiro Lorenzo Sabattini Computer Science Division Technological Institute of Aeronautics São José dos Campos – SP Brazil Department of Sciences and Methods for Engineering (DISMI) University of Modena and Reggio Emilia – Italy

Applications based on groups of self-organized mobile robots and - more generically - agents are becoming pervasive in communication, monitoring, traffic and transportation systems. Their advantage is the possibility of providing services without the existence of a previously defined infrastructure and with a high degree of autonomy. On the other hand, physical agents, in general, are prone to failures, adding uncertainty and unpredictability in the environments in which they operate. Therefore, a robust topology regarding failures is an imperative requirement. In this paper, we show that mechanisms based solely on connectivity maintenance are not enough to obtain a sufficiently resilient network, and a robustness-oriented approach is necessary. Thus, we propose a local combined control law that aims at maintaining the overall network connectivity while improving the network robustness via actions that reduce vulnerability to failures that might lead to network disconnection. The combined control law performance was validated from two perspectives: as a reactive and as a proactive mechanism. As a reactive mechanism, it was able to accommodate ongoing failures and postpone or avoid network fragmentation. As a proactive mechanism, the network topology was able to evolve from a potentially vulnerable topology w.r.t. failures to a more robust one.

关键词： Robustness Robots Network topology Maintenance engineering Topology Laplace equations Electronic mail

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Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study

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The Lancet. Planetary health 2021年第7期5卷 e415-e425页

作者： Qi Zhao Yuming Guo Tingting Ye Antonio Gasparrini Shilu Tong Ala Overcenco Aleš Urban Alexandra Schneider Alireza Entezari Ana Maria Vicedo-Cabrera Antonella Zanobetti Antonis Analitis Ariana Zeka Aurelio Tobias Baltazar Nunes Barrak Alahmad Ben Armstrong Bertil Forsberg Shih-Chun Pan Carmen Íñiguez Caroline Ameling César De la Cruz Valencia Christofer Åström Danny Houthuijs Do Van Dung Dominic Royé Ene Indermitte Eric Lavigne Fatemeh Mayvaneh Fiorella Acquaotta Francesca de'Donato Francesco Di Ruscio Francesco Sera Gabriel Carrasco-Escobar Haidong Kan Hans Orru Ho Kim Iulian-Horia Holobaca Jan Kyselý Joana Madureira Joel Schwartz Jouni J K Jaakkola Klea Katsouyanni Magali Hurtado Diaz Martina S Ragettli Masahiro Hashizume Mathilde Pascal Micheline de Sousa Zanotti Stagliorio Coélho Nicolás Valdés Ortega Niilo Ryti Noah Scovronick Paola Michelozzi Patricia Matus Correa Patrick Goodman Paulo Hilario Nascimento Saldiva Rosana Abrutzky Samuel Osorio Shilpa Rao Simona Fratianni Tran Ngoc Dang Valentina Colistro Veronika Huber Whanhee Lee Xerxes Seposo Yasushi Honda Yue Leon Guo Michelle L Bell Shanshan Li Department of Epidemiology School of Public Health Cheeloo College of Medicine Shandong University Jinan China Department of Epidemiology and Preventive Medicine School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia. Department of Epidemiology and Preventive Medicine School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia Climate Air Quality Research Unit School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia. Electronic address: yuming.guo@monash.edu. Climate Air Quality Research Unit School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia. Department of Public Health Environments and Society London School of Hygiene and Tropical Medicine London UK Centre for Statistical Methodology London School of Hygiene and Tropical Medicine London UK Centre on Climate Change and Planetary Health London School of Hygiene and Tropical Medicine London UK. Shanghai Children's Medical Centre Shanghai Jiao Tong University Shanghai China School of Public Health Institute of Environment and Population Health Anhui Medical University Hefei China Center for Global Health Nanjing Medical University Nanjing China School of Public Health and Social Work Queensland University of Technology Brisbane QLD Australia. Laboratory of Management in Science and Public Health National Agency for Public Health of the Ministry of Health Chisinau Moldova. Institute of Atmospheric Physics Czech Academy of Sciences Prague Czech Republic Faculty of Environmental Sciences Czech University of Life Sciences Prague Czech Republic. Institute of Epidemiology Helmholtz Zentrum München-German Research Center for Environmental Health Neuherberg Germany. Faculty of Geography and Environmental Sciences Hakim Sabzevari University Sabzevar Iran. Institute of Social and Preventive Medicine University of Bern Bern Switzerland Oeschger Center for Climate Change Res

BACKGROUND:Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. methods:In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0·5° × 0·5° across the globe. A three-stage analysis strategy was used. First, the temperature-mortality association was fitted for each location by use of a time-series regression. Second, a multivariate meta-regression model was built between location-specific estimates and meta-predictors. Finally, the grid-specific temperature-mortality association between 2000 and 2019 was predicted by use of the fitted meta-regression and the grid-specific meta-predictors. Excess deaths due to non-optimal temperatures, the ratio between annual excess deaths and all deaths of a year (the excess death ratio), and the death rate per 100 000 residents were then calculated for each grid across the world. Grids were divided according to regional groupings of the UN Statistics Division. FINDINGS:Globally, 5 083 173 deaths (95% empirical CI [eCI] 4 087 967-5 965 520) were associated with non-optimal temperatures per year, accounting for 9·43% (95% eCI 7·58-11·07) of all deaths (8·52% [6·19-10·47] were cold-related and 0·91% [0·56-1·36] were heat-related). There were 74 temperature-related excess deaths per 100 000 residents (95% eCI 60-87). The mortality burden varied geographically. Of all excess deaths, 2 617 322 (51·49%) occurred in Asia. Eastern Europe had the highest heat-related excess death rate and Sub-Saharan Africa had the highest cold-related excess death rate. From 2000-03 to 2016-19, the global cold-related excess death ratio changed by -0·51 percentage points (95% eCI -0·61 to -0·42) and the global heat-related excess death ratio increased by 0·21 percentage points (0·13-0·31), leading to a

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Partitioned fluid–structure–acoustics interaction on distributed data: Numerical results and visualization

Partitioned fluid–structure–acoustics interaction on distr...

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International Conference on Software for Exascale Computing, SPPEXA 2015

作者： Blom, David Ertl, Thomas Fernandes, Oliver Frey, Steffen Klimach, Harald Krupp, Verena Mehl, Miriam Roller, Sabine Sternel, Dörte C. Uekermann, Benjamin Winter, Tilo van Zuijlen, Alexander Aerospace Engineering Delft University of Technology Delft Netherlands Scientific Computing in Computer Science Technical University of Munich München Germany Simulation Techniques and Scientific Computing University of Siegen Siegen Germany Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany VISUS University of Stuttgart Stuttgart Germany Institut for Scientific Computing TU Darmstadt Darmstadt Germany Institute of Numerical Methods in Mechanical Engineering TU Darmstadt Darmstadt Germany

ISBN: (纸本)9783319405261

We present a coupled simulation approach for fluid–structure–acoustic interactions (FSAI) as an example for strongly surface coupled multi-physics problems. In addition to the multi-physics character, FSAI feature multi-scale properties as a further challenge. In our partitioned approach, the problem is split into spatially separated subdomains interacting via coupling surfaces. Within each subdomain, scalable, single-physics solvers are used to solve the respective equation systems. The surface coupling between them is realized with the scalable open-source coupling tool preCICE described in the "Partitioned Fluid–Structure– Acoustics Interaction on Distributed Data: Coupling via preCICE". We show how this approach enables the use of existing solvers and present the overall scaling behavior for a three-dimensional test case with a bending tower generating acoustic *** run this simulation with different solvers demonstrating the performance of various solvers and the flexibility of the partitioned approach with the coupling tool preCICE. An efficient and scalable in-situ visualization reducing the amount of data in place at the simulation processors before sending them over the network or to a file system completes the simulation environment. © Springer International Publishing Switzerland 2016.

关键词： Data visualization

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Big Data Research in Italy： A Perspective

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Engineering 2016年第2期2卷 163-170页

作者： Sonia Bergamaschi Emanuele Carlini Michelangelo Ceci Barbara Furletti Fosca Giannotti Donato Malerba Mario Mezzanzanica Anna Monreale Gabriella Pasi Dino Pedreschi Raffele Perego Salvatore Ruggieri Department of Engneering "Enzo Ferrari " University of Modena and Reggio Emilia Modena 41125 Italy High Performance Computing Laboratory Institute of Information Science and Technologies of the Italian National Research Council (ISTI-CNR) Pisa 56124 Italy Department of Computer Science University ofBari Aldo Moro Bari 70125 Italy Knowledge Discovery and Data Mining Laboratory ISTI-CNR Pisa 56127 Italy Big Data Laboratory National Interuniversity Consortium for Informatics Rome 00185 Italy Department of Statistics and Quantitative Methods University of Milano-Bicocca Milan 20126 Italy Department of Computer Science Systems and Communications University of Milano-Bicocca Milan 20126 Italy Department of Computer 5denee University of Pisa Pisa 56127 Italy

The aim of this article is to synthetically describe the research projects that a selection of Italian univer- sities is undertaking in the context of big data. Far from being exhaustive, this article has the objective of offering a sample of distinct applications that address the issue of managing huge amounts of data in Italy, collected in relation to diverse domains.

关键词： Big data Smart cities EnergyJob offersPrivacy

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Handling inverse optimal control problems using evolutionary bilevel optimization

Handling inverse optimal control problems using evolutionary...

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Congress on Evolutionary Computation

作者： Varun Suryan Ankur Sinha Pekka Malo Kalyanmoy Deb Department of Mechanical Engineering Indian Institute of Technology Jodhpur India Production and Quantitative Methods Indian Institute of Management Ahmedabad India Department of Information and Service Economy Aalto University School of Business Finland Computer Science and Engineering Michigan State University USA

Optimal control is a task where it is desired to determine the inputs of a dynamical system that optimize (minimize or maximize) a specified cost functional, also known as performance index, while satisfying any constraints on behaviour of the system. As the name suggests, inverse optimal control is the opposite of the former one and thus is associated with mining of the cost functional, optimal behaviour of which fits the given results best. In this paper, we present the importance of evolutionary bilevel optimization techniques as a promising approach to solve inverse optimal control problems. Generally, inverse optimal control problems are found to be ill posed which makes them computationally expensive in addition to the associated redundancy with the solution. Inverse optimal control theory works as a stepping stone in figuring out the underlying optimality criteria in a given task. It has several other applications in areas like Markov's Decision Processes and Game Theory. In our work, we solve inverse optimal control problems to retrieve the original functional in optimal control task using metaheuristic based bilevel optimization techniques. The dataset comprising of state variables generated from an optimal control problem is utilized to mine the functional. In the later part of our paper, we formulate a problem of human motion transfer as a bilevel optimization task, and subsequently solve it using a bilevel algorithm.

关键词： Optimal control Optimization Linear programming Inverse problems Electronic mail Performance analysis Evolutionary computation

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Machine Learning paradigms for Weed Mapping via Unmanned Aerial Vehicles

Machine Learning paradigms for Weed Mapping via Unmanned Aer...

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IEEE Symposium Series on Computational Intelligence

作者： M. Pérez-Ortiz P.A. Gutiérrez J.M. Pena J. Torres-Sanchez F. López-Granados C. Hervás-Martínez Dept. of Quantitative Methods Universidad Loyola Andalucía 14004 Córdoba Spain Dept. of Computer Science and Numerical Analysis University of Córdoba 14071 Spain Institute for Sustainable Agriculture CSIC 14080 Córdoba Spain

ISBN: (纸本)9781509042418

This paper presents a novel strategy for weed monitoring, using images taken with unmanned aerial vehicles (UAVs) and concepts of image analysis and machine learning. Weed control in precision agriculture designs site-specific treatments based on the coverage of weeds, where the key is to provide precise weed maps timely. Most traditional remote platforms, e.g. piloted planes or satellites, are, however, not suitable for early weed monitoring, given their low temporal and spatial resolutions, as opposed to he ultra-high spatial resolution of UAVs. The system here proposed makes use of UAV-imagery and is based on: 1) Divide the image, 2) compute and binarise the vegetation indexes, 3) detect crop rows, 4) optimise the parameters and 4) learn a classification model. Since crops are usually organised in rows, the use of a crop row detection algorithm helps to separate properly weed and crop pixels, which is a common handicap given the spectral similitude of both. Several artificial intelligence paradigms are compared in this paper to identify the most suitable strategy for this topic (i.e. unsupervised, supervised and semi-supervised approaches). Our experiments also study the effect of different parameteres: the flight altitude, the sensor and the use of previously trained models at a different height. Our results show that 1) very promising performance can be obtained, even when using very few labelled data and 2) the classification model can be learnt in a subplot of the experimental field at low altitude and then applied to the whole field at a higher height, which simplifies the whole process. These results motivate the use of this strategy to design weed monitoring strategies for early post-emergence weed control.

关键词： paradigms Weed Mapping

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Qualitative Evaluation of Full Body Movements with Gesture Description Language 9

Qualitative Evaluation of Full Body Movements with Gesture D...

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9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2015

作者： Hachaj, Tomasz Ogiela, Marek R. Pedagogical University of Krakow Institute of Computer Science and Computer Methods 2 Podchorazych Ave Krakow30-084 Poland AGH University of Science and Technology Cryptography and Cognitive Informatics Research Group 30 Mickiewicza Ave Krakow30-059 Poland

ISBN: (纸本)9781479988730

The motivation for writing this paper is to present the method for qualitative evaluation of full body movements with Gesture Description Language. By qualitative evaluation we understand the possibility of evaluating the similarity between the template of movement defined in GDL script (GDLs) and physical activity performed by observed user. The establishing of this methodology allows us to perform real time evaluation of movements accuracy defined as similarity to the statistically computed templates. The presented methodology can be used not only to perform advanced numerical analysis of movements but also to support multimedia visual feedback to various movements activities in computer applications. The initial evaluation presented in this paper proved that proposed method of qualitative analysis of movements has a potential to be used in practice. © 2015 IEEE.

关键词： Gesture recognition

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Analysis of ampliseq RNA-sequencing enrichment panels 1

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6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015

作者： Wiewiorka, Marek S. Szabelska, Alicja Okoniewski, Michal J. Institute of Computer Science Warsaw University of Technology Warsaw Poland Department of Mathematical and Statistical Methods Poznan University of Life Sciences Poznan Poland Zurich Switzerland

ISBN: (数字)9783319199412

ISBN: (纸本)9783319199405

This study presents a proof of concept of encoding genomic signatures in the AmpliSeq technology. The samples of patients with a disease and healthy ones have been processed using an AmpliSeq RNA sequencing kit of a custom design, that include 290 amplicons, sequenced using an IonTorrent machine. The read count data show the sufficient coverage in most of the chosen amplicons, which results in a good separability between the disease patients and healthy donors. In addition, several amplicons allow for checking useful genomics variants (SNPs), whenever the coverage level permits. The paper presents a machinelearning classifier evaluation of the answer to the question of difference between the patients and healthy donors, based upon the AmpliSeq panel data. The outcome confirms the potential utility of similar RNA amplicon kits in the research and clinical practice to encode gene expression signatures of diseases and their phenotypes. © Springer International Publishing Switzerland 2015.

关键词： Genome

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