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IEEE International Conference on Intelligent Transportation systems

作者： C. Pasquale D. Anghinolfi S. Sacone S. Siri M. Papageorgiou Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy Dynamic Systems and Simulation Laboratory Technical University of Crete Greece

ISBN: (纸本)9781509018901

The definition of a new control scheme for freeway traffic systems is the objective of the present paper. The main innovative aspect of this work stands in the fact that, besides considering the reduction of traffic congestion, also safety-related aspects are explicitly taken into account in the formulation of the control problem. More specifically, two different performance indexes including a relation between the number of accidents and the traffic density in a freeway stretch are defined. The solution of the control problem is sought by applying a derivative-free procedure in which two phases are sequentially adopted: a global search carried out through a specific version of the Simulated Annealing algorithm, and a local search performed by an algorithm chosen within an open-source library for nonlinear optimization. Some numerical results are reported in the paper to compare the two control functions and to verify the effectiveness of the proposed approach.

关键词： Traffic control Safety Mathematical model Accidents Computer crashes Automobiles

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Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing

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Nature biotechnology 2020年第4期38卷 504页

作者： Christian Lieven Moritz E Beber Brett G Olivier Frank T Bergmann Meric Ataman Parizad Babaei Jennifer A Bartell Lars M Blank Siddharth Chauhan Kevin Correia Christian Diener Andreas Dräger Birgitta E Ebert Janaka N Edirisinghe José P Faria Adam M Feist Georgios Fengos Ronan M T Fleming Beatriz García-Jiménez Vassily Hatzimanikatis Wout van Helvoirt Christopher S Henry Henning Hermjakob Markus J Herrgård Ali Kaafarani Hyun Uk Kim Zachary King Steffen Klamt Edda Klipp Jasper J Koehorst Matthias König Meiyappan Lakshmanan Dong-Yup Lee Sang Yup Lee Sunjae Lee Nathan E Lewis Filipe Liu Hongwu Ma Daniel Machado Radhakrishnan Mahadevan Paulo Maia Adil Mardinoglu Gregory L Medlock Jonathan M Monk Jens Nielsen Lars Keld Nielsen Juan Nogales Intawat Nookaew Bernhard O Palsson Jason A Papin Kiran R Patil Mark Poolman Nathan D Price Osbaldo Resendis-Antonio Anne Richelle Isabel Rocha Benjamín J Sánchez Peter J Schaap Rahuman S Malik Sheriff Saeed Shoaie Nikolaus Sonnenschein Bas Teusink Paulo Vilaça Jon Olav Vik Judith A H Wodke Joana C Xavier Qianqian Yuan Maksim Zakhartsev Cheng Zhang Novo Nordisk Foundation Center for Biosustainability Technical University of Denmark Lyngby Denmark. Systems Biology Lab Amsterdam Institute of Molecular and Life Sciences (AIMMS) Vrije Universiteit Amsterdam Amsterdam the Netherlands. BioQUANT/COS Heidelberg University Heidelberg Germany. Ecole Polytechnique Fédérale de Lausanne Laboratory of Computational Systems Biotechnology Lausanne Switzerland. iAMB-Institute of Applied Microbiology ABBt-Aachen Biology and Biotechnology RWTH Aachen University Aachen Germany. Department of Bioengineering University of California La Jolla CA USA. Department of Chemical Engineering and Applied Chemistry University of Toronto Toronto Ontario Canada. Human Systems Biology Laboratory Instituto Nacional de Medicina Genomica & Coordinación de la Investigación Científica-Red de Apoyo a la Investigación UNAM Mexico City Mexico. Institute for Systems Biology Seattle WA USA. Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens Institute for Biomedical Informatics (IBMI) Tübingen Germany. Department of Computer Science University of Tübingen Tübingen Germany. German Center for Infection Research (DZIF) partner site Tübingen Tübingen Germany. Australian Institute for Bioengineering and Nanotechnology The University of Queensland Brisbane Queensland Australia. Argonne National Laboratory Lemont IL USA. Analytical Biosciences Division of Systems Biomedicine and Pharmacology Leiden Academic Centre for Drug Research Leiden University Leiden the Netherlands. Department of Systems Biology Centro Nacional de Biotecnología Consejo Superior de Investigaciones Científicas (CNB-CSIC) Madrid Spain. Centro de Biotecnología y Genómica de Plantas (CBGP UPM-INIA) Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) Madrid Spain. Department of Animal and Aquacultural Sciences Faculty of Biosciences Norwegian University of Life Sciences Oslo Norway

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Optimizing multiple truck trips in a cooperative environment

Optimizing multiple truck trips in a cooperative environment

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International Conference on Intelligent Transportation

作者： Claudia Caballini Ilaria Rebecchi Simona Sacone DIBRIS-Department of Informatics BioEngineering Robotics and Systems Engineering CIELI-Italian Centre of Excellence in Integrated Logistics University of Genova Italy

ISBN: (纸本)9781509018901

Horizontal cooperation among truck carriers is the framework considered in the present paper. More specifically, the goal of this paper is to properly distribute the profits related to a set of carriers collaborating together for merging multiple trips. First, a mathematical model is set to maximize the total profit of the coalition of carriers. The solution of the resulting optimization problem provides the best way of satisfying the overall demand by maximizing the overall profit. The way in which the overall profit is, then, allocated to the different carriers, thus determining carrier individual profits, is analyzed by using five game theory (GT) allocation methods. The main contribution of this work stands in the application of GT for the profit allocation; in the literature the majority of work deals with cost distribution. Moreover, the methods here proposed are practical and easy to be used by real trucking companies and have been implemented for real life cases. Results obtained in terms of individual and overall profits are reported and discussed in this paper.

关键词： Optimization Resource management Collaboration Logistics Vehicles Games

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Preventing Disclosure of Personal Data in IoT Networks

Preventing Disclosure of Personal Data in IoT Networks

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Ilaria Torre Giovanni Adorni Frosina Koceva Odnan Sanchez Department of Computer Science Bioengineering Robotics and Systems Engineering University of Genoa Italy

Sharing data among applications is a growing phenomenon. With the IoT, this phenomenon becomes more significant. As already studied in social networks, data sharing has the drawback of privacy risks. Authorization protocols and cryptographic systems may not be enough to ensure that user data and metadata are not used for non-legitimate purposes. There are different scenarios and several personal data management proposals aimed to improve privacy protection. However, a risk that is always present is related to the possibility of processing and aggregating public and authorized data to infer sensitive information and data that the user may not want to share. These approaches, often called inference attacks, concern the disclosure of personal user data and have been widely studied in social networks. In this paper we describe the problem and some techniques to face it, showing its relevance in the IoT. Then we present the concept of an Adaptive Inference Discovery Service AID-S, conceived as a service that may support users to prevent this kind of information leakage and that can be integrated into personal data managers.

关键词： Data privacy Data models Correlation Social network services Sensors Biomedical engineering Robots

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A data fusion approach based on systems integration for axle bearing monitoring

A data fusion approach based on systems integration for axle...

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作者： Fumeo, E. Terribile, S. Anguita, D. Massara, E. Mazzino, N. Department of Computer Science Bioengineering Robotics and Systems Engineering Polytechnic School University of Genoa Italy Innovation Project Ansaldo STS S.p.A. Genoa Italy

In the context of condition-based maintenance (CBM) for railway transportation systems, the correlation of data coming from several heterogeneous sensors is gaining growing research interest: for this purpose, it is extremely important to study and deploy data fusion methodologies able to merge information coming both from wayside train monitoring and diagnostic systems and from on-board train monitoring systems. This paper describes an innovative data fusion approach based on a software systems integration for axle bearing CBM: a data fusion system composed of three modules, namely the data fusion application, the system integrator and a visualization system referred as the human machine interface have been developed. The results presented in this paper show the benefits in terms of maintenance costs reduction, risk management and safety, and the system proves to have a positive impact all over the railways systems. © Civil-Comp Press, 2016.

关键词： Condition based maintenance

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Skinware 2.0: A real-time middleware for robot skin

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SoftwareX 2015年 3-4卷 6-12页

作者： Youssefi, S. Denei, S. Mastrogiovanni, F. Cannata, G. Department of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Via Opera Pia 13 Genoa16145 Italy

Robot skins have emerged recently as products of research from various institutes worldwide. Each robot skin is designed with different applications in mind. As a result, they differ in many aspects from transduction technology and structure to communication protocols and timing requirements. These differences create a barrier for researchers interested in developing tactile processing algorithms for robots using the sense of touch;supporting multiple robot skin technologies is non-trivial and committing to a single technology is not as useful, especially as the field is still in its infancy. The Skinware middleware has been created to mitigate these issues by providing abstractions and real-time acquisition mechanisms. This article describes the second revision of Skinware, discussing the differences with respect to the first version. © 2015 The Authors.

关键词： Middleware

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A multi-objective optimization tool for the daily management of sustainable smart microgrids: Case Study: the savona campus SPM and SEB facilities

A multi-objective optimization tool for the daily management...

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International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM

作者： Stefano Bracco Federico Delfino Mansueto Rossi Michela Robba Department of Naval Electrical Electronic and Telecommunication Engineering (DITEN) University of Genoa Genoa Italy Department of Informatics Bioengineering Robotics and Systems Engineering (DIBRIS) University of Genoa Genoa Italy

ISBN: (纸本)9781509020683

In the framework of the 2020 European strategy, that aims the EU to become a smart, sustainable and inclusive economy, several innovative and cost-effective research and development projects are centered on the smart microgrid and sustainable energy concepts. Moreover, the need to develop energy management systems, that permit to operate energy infrastructures in an eco-friendly and sustainable manner, becomes a fundamental prerogative. To this aim, in the present paper a mathematical model is proposed for the optimal daily operation of a sustainable energy infrastructure consisting in a smart electrical and thermal microgrid feeding a smart university campus, such as that located in the city of Savona in Italy; in the paper the main equations of the multi-objective optimization model are reported, as well as some significant results.

关键词： Cogeneration Smart grids Mathematical model Optimization Boilers Natural gas

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Persistent homology: A step-by-step introduction for newcomers

Persistent homology: A step-by-step introduction for newcome...

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2016 Italian Chapter Conference - Smart Tools and Apps in Computer Graphics, STAG 2016

作者： Fugacci, U. Scaramuccia, S. Iuricich, F. de Floriani, L. Department of Computer Science UMIACS University of Maryland College ParkMD United States Department of Computer Science Bioengineering Robotics and Systems Engineering University of Genova Genova Italy Department of Geographical Sciences University of Maryland College ParkMD United States

ISBN: (纸本)9783038680260

Persistent homology is a powerful notion rooted in topological data analysis which allows for retrieving the essential topological features of an object. The attention on persistent homology is constantly growing in a large number of application domains, such as biology and chemistry, astrophysics, automatic classification of images, sensor and social network analysis. Thus, an increasing number of researchers is now approaching to persistent homology as a tool to be used in their research activity. At the same time, the literature lacks of tools for introducing beginners to this topic, especially if they do not have a strong mathematical background in algebraic topology. We propose here two complementary tools which meet this requirement. The first one is a web-based user-guide equipped with interactive examples to facilitate the comprehension of the notions at the basis of persistent homology. The second one is an interactive tool, with a specific focus on shape analysis, developed for studying persistence pairs by visualizing them directly on the input complex. © 2016 The Author(s) Eurographics Proceedings © 2016 The Eurographics Association.

关键词： Astrophysics

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Hybrid single node genetic programming for symbolic regression 7

Hybrid single node genetic programming for symbolic regressi...

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7th International Joint Conference on Computational Intelligence, IJCCI 2015

作者： Kubalìk, Jiřì Alibekov, Eduard Žegklitz, Jan Babuška, Robert Czech Institute of Informatics Robotics and Cybernetics CTU in Prague Prague Czech Republic Department of Cybernetics Faculty of Electrical Engineering CTU in Prague Prague Czech Republic Delft Center for Systems and Control Delft University of Technology Delft Netherlands

ISBN: (纸本)9783662535240

This paper presents a first step of our research on designing an effective and efficient GP-based method for symbolic regression. First, we propose three extensions of the standard Single Node GP, namely (1) a selection strategy for choosing nodes to be mutated based on depth and performance of the nodes, (2) operators for placing a compact version of the best-performing graph to the beginning and to the end of the population, respectively, and (3) a local search strategy with multiple mutations applied in each iteration. All the proposed modifications have been experimentally evaluated on five symbolic regression benchmarks and compared with standard GP and SNGP. The achieved results are promising showing the potential of the proposed modifications to improve the performance of the SNGP algorithm. We then propose two variants of hybrid SNGP utilizing a linear regression technique, LASSO, to improve its performance. The proposed algorithms have been compared to the state-of-the-art symbolic regression methods that also make use of the linear regression techniques on four real-world benchmarks. The results show the hybrid SNGP algorithms are at least competitive with or better than the compared methods. © Springer-Verlag Berlin Heidelberg 2016.

关键词： Genetic programming

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Low cost laparoscopic training platform: Primary validation process 8

Low cost laparoscopic training platform: Primary validation ...

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8th International Workshop on Applied Modeling and Simulation, WAMS 2015

作者： Perino, E. Sguanci, M. Mandolfino, F. Minuto, M. Vercelli, G. Gaudina, M. Marcutti, S. Rumolo, V. Marcocci, G. Frascio, M. DISC - Department of General Surgery Italy DIBRIS - Department of Informatics Bioengineering Robotics and Systems Engineering Italy

ISBN: (纸本)9788897999560

The use of simulation in laparoscopic surgery training appears to be qualitatively effective if supported by a suitable evaluation system. The increasing demand of more complex laparoscopic simulators has inspired the creation of a 4d simulator which is a physical low-cost laparoscopic training platform that reproduces the tactile feedback (eLaparo4d) integrated with a software for virtual anatomical realistic scenarios (Unity3D V 4.1). The aim of the present project is to show the validation process results of this system using two instruments: the face validity and the construct validity. The face validity was used for an ergonomic analysis of the simulator, the construct to test the system's ability to differentiate expert users (experienced surgeons in laparoscopy) from non-experts (student without experience in laparoscopic surgery). A sample of 20 students was selected, divided into 2 homogeneous groups with respect to the level of confidence with the use of video games, consolles, smartphones (this has been possible thanks to the use of a questionnaire, administered before the practical phase of training). The groups participated in a training program based on 5 basic laparoscopic skills (laparoscopic focusing and navigation, hand - eye - coordination and grasp coordination). So, a second and third study sample was chosen, consisting of 20 post graduate students (intermediate group) and 20 experienced surgeons in laparoscopy;for theese groups was provided a training program identical to the previous group as well as their subdivision into 2 group. We analyzed the results of the three samples obtained by comparing variables such as: score % of fullfillment panality time At the same time, the students improvements has been monitorized, developing a customized learning curve for each user. To evaluate the structural characteristics of the simulator a specific questionnaire has been used. The results encouraged us. The simulator is ergonomically satisfactory and

关键词： Simulators

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