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9th IAPR TC3 international workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020

9th IAPR TC3 International Workshop on Artificial Neural Net...

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9th IAPR TC3 international workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020

ISBN: (纸本)9783030583088

The proceedings contain 24 papers. The special focus in this conference is on Artificial Neural Networks in Pattern Recognition. The topics include: Named entity disambiguation at scale;geometric attention for prediction of differential properties in 3d point clouds;preface;deep learning methods for image guidance in radiation therapy;how (not) to measure bias in face recognition networks;feature extraction: A time window analysis based on the x-ite pain database;pain intensity recognition - an analysis of short-time sequences in a real-world scenario;a deep learning approach for efficient registration of dual view mammography;deep transfer learning for texture classification in colorectal cancer histology;applications of generative adversarial networks to dermatologic imaging;typing plasmids with distributed sequence representation;kp-yolo: A modification of yolo algorithm for the keypoint-based detection of qr codes;using mask r-cnn for image-based wear classification of solid carbide milling and drilling tools;a hybrid deep learning approach for forecasting air temperature;intentional image similarity search;using cnns to optimize numerical simulations in geotechnical engineering;going for 2d or 3d? investigating various machine learning approaches for peach variety identification;a transfer learning end-to-end arabic text-to-speech (tts) deep architecture;ml-based trading models: An investigation during covid-19 pandemic crisis;innvestigate-gui - explaining neural networks through an interactive visualization tool;structured (de)composable representations trained with neural networks;long distance relationships without time travel: Boosting the performance of a sparse predictive autoencoder in sequence modeling.

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MEDART-MAS: MEta-model of Data Assimilation on real-time Multi-Agent simulation

MEDART-MAS: MEta-model of Data Assimilation on Real-Time Mul...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： Bassirou Ngom Moussa Diallo Nicolas Marilleau UMI UMMISCO-IRD/Sorbonne Université Paris France Université Cheikh Anta Diop Dakar Senegal

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

In modeling and simulation process, data plays an important role. Data is required to validate the model and to experiment scenarios. It is also necessary for fitting and calibrating model parameters. In the case of online simulation, data assimilation approaches make possible to inject data into simulations and to recalibrate simulations based on real-time data. This paper addresses the challenge of assimilating data into an agent-based simulation by promoting a novel architecture dedicated to data assimilation. Few improvements have been made to adapt Multi-Agent simulations to real-time data assimilation. The architecture is designed to be generic enough to allow wild diversity of case studies. We propose a meta-model of data assimilation and implement a toolkit based on the GAMA simulator. Finally, we use temperature data to test the implementation of a simple use case.

关键词： Data models real-time systems Adaptation models Data assimilation Predictive models Sensors Estimation

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simulation and Digital Twin Support for Managed Drone applications

Simulation and Digital Twin Support for Managed Drone Applic...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： Nasos Grigoropoulos Spyros Lalis University of Thessaly Volos Greece

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

As drone technology passes one milestone after the other, drones are used in an ever-increasing number of applications and are now considered as an integral part of the future smart city infrastructure. At the same time, the inherent safety and privacy risks associated with drone-based applications call for appropriate testing and monitoring tools. In this paper, we present a simulation environment and digital twin support for a platform that allows the managed execution of drone-based applications on top of a shared drone infrastructure. On the one hand, the simulation environment makes it possible to perform a wide range of tests regarding the operation of both the platform itself and the applications that run on top of it, before deploying them in the real world. On the other hand, after deployment, a digital twin of the drone is used to detect deviations of the application from the expected behavior, which, in turn, can serve as an indication of bugs that remained undetected during the simulation tests or malfunctions that occur at runtime. We discuss the most important elements of our approach and the simulation and digital twin components of the proposed system. Also, we provide a functional evaluation of our work by presenting its capabilities regarding both offline testing and runtime checking through indicative use cases.

关键词： Drones Runtime Testing Hardware Software Safety Privacy

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Agent-based Modeling and simulation for Emergency Scenarios: A Holistic Approach

Agent-based Modeling and Simulation for Emergency Scenarios:...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： Andrea Piccione Alessandro Pellegrini Sapienza University of Rome Lockless S.r.l.

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

Agent-based Modeling and simulation is a powerful technique which allows to study the interactions in complex systems, and allows to explore or even foresee the emergence of more complicated properties or behaviors related to the interaction among the simpler agents in the environment. In the context of emergency or crisis scenarios, Agent-based Modeling and simulation can allow to effectively study emergency plans, with the goal of assessing their viability, also with respect to the number of possible fatalities. In this paper, we analyze Agent-based Modeling and simulation for crisis scenarios from a methodological and empirical point of view, with the goal of identifying what are the behavioral parameters that a model should encompass, in order for the results of the simulation to be useful for emergency plan assessment and/or compilation. We also experimentally provide a characterization of the effects of such behavioral parameters.

关键词： Security Analytical models Buildings Tools Agent-based modeling Context modeling Adaptation models

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Laying the path to consumer-level immersive simulation environments

Laying the path to consumer-level immersive simulation envir...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： Lorenzo Donatiello Lorenzo Gasparini Gustavo Marfia University of Bologna Bologna Italy

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

Virtual reality is slowly transitioning from a specialized laboratory-only technology, to a consumer electronics appliance. In this transition, two interesting research questions amount to how 2D-based content and applications may benefit (or be hurt) by the adoption of 3D-based immersive environments and to how to proficiently support such integration. Acknowledging the relevance of the former, we here consider the latter question, focusing our attention on the diversified family of PC-based simulation tools and platforms. VR-based visualization is, in fact, widely understood and appreciated in the simulation arena, but mainly confined to high performance computing laboratories. Our contribution here aims at characterizing the simulation tools which could benefit from immersive interfaces, along with a general framework and a preliminary implementation which may be put to good use to support their transition from uniquely 2D to blended 2D/3D environments.

关键词： Three-dimensional displays Libraries Computational modeling Matlab Two dimensional displays Solid modeling Software

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Digital Twins at the Edge to Track Mobility for MaaS applications

Digital Twins at the Edge to Track Mobility for MaaS Applica...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： Claudia Campolo Giacomo Genovese Antonella Molinaro Bruno Pizzimenti University “Mediterranea” of Reggio Calabria Italy

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

The research into wireless communication and mobile computing is called to formulate novel smart mobility solutions to improve the quality of a citizen's life in smart cities. In such a context, in this paper we elaborate on the role of technologies like multi-access edge computing (MEC), Internet of Things (IoT) messaging protocols, such as Constrained Application Protocol (CoAP) and Message Queue Telemetry Transport (MQTT), and virtualization (i.e., digital twins) in the design of a framework enabling the collection and processing of data about the mobility of commuters and public transport vehicles. Such data have the purpose to feed mobility monitoring and transport planning solutions. A Proof-of-Concept (PoC) is developed to validate the framework under realistic experimental settings. Results in terms of efficiency and effectiveness of the considered messaging protocols are reported.

关键词： Protocols Smart phones Global Positioning System Servers Edge computing Internet of Things Monitoring

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Pitfalls and Remedies in Modeling and simulation of Cyber Physical Systems

Pitfalls and Remedies in Modeling and Simulation of Cyber Ph...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： Alberto Falcone Alfredo Garro Modeling Electronics and Systems Engineering (DIMES) University of Calabria Rende CS Italy

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

The ever-growing advances in science and technology have led to a rapid increase in the complexity of most engineered systems. Cyber-physical Systems (CPSs) are the result of this technology advancement that involves new paradigms, architectures and functionalities derived from different engineering domains. Due to the nature of CPSs, which are composed of many heterogeneous components that constantly interact one another and with the environment, it is difficult to study, explain hypothesis and evaluate design alternatives without using Modeling and simulation (M&S) approaches. M&S is increasingly used in the CPS domain with different objectives; however, its adoption is not easy and straightforward but can lead to pitfalls that need to be recognized and addressed. This paper identifies some important pitfalls deriving from the application of M&S approaches to the CPS study and presents remedies, which are already available in the literature, to prevent and face them.

关键词： Data models Mathematical model Computational modeling Complexity theory Cyber-physical systems Faces

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A New Julia-Based Parallel time-Domain simulation Algorithm for Analysis of Power System Dynamics

A New Julia-Based Parallel Time-Domain Simulation Algorithm ...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： Michael Kyesswa Philipp Schmurr Hüseyin K. Çakmak Uwe Kühnapfel Veit Hagenmeyer Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

The present paper describes a new parallel time-domain simulation algorithm using a high performance computing environment - Julia - for the analysis of power system dynamics in large networks. The parallel algorithm adapts a parallel-in-space decomposition scheme to a previously sequential algorithm in order to develop a new parallelizable numerical solution of the power system equations. The parallel-in-space decomposition is based on the block bordered diagonal form, which reformulates the network admittance matrix into sub-blocks that can be solved in parallel. For the optimal spatial decomposition of the network, a new extended graph partitioning strategy is developed for load balancing and minimizing the communication between subnetworks. The new parallel simulation algorithm is tested using standard test networks of varying complexity. The simulation results are compared to those obtained from a sequential implementation in order to validate the solution accuracy and to determine the performance improvement in terms of computational speedup. Test simulations are conducted using the ForHLR II supercomputing cluster and show a huge potential in computational speedup with increasing network complexity.

关键词： Mathematical model Computational modeling Power system stability Power system dynamics Heuristic algorithms Partitioning algorithms Analytical models

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Applying Faster R-CNN in Extremely Low-Resolution Thermal Images for People Detection

Applying Faster R-CNN in Extremely Low-Resolution Thermal Im...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： Diego M. Jiménez-Bravo Pierre Masala Mutombo Bart Braem Johann M. Marquez-Barja Expert Systems and Applications Lab Faculty of Science University of Salamanca Salamanca Spain IDLab research group University of Antwerp - imec Antwerp Belgium

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

In today's cities, it is increasingly normal to see different systems based on Artificial Intelligence (AI) that help citizens and government institutions in their daily lives. This is possible thanks to the Internet of Things (IoT). In this paper we present a solution using low-resolution thermal sensors in combination of deep learning to detect people in the images generated by those sensors. To verify whether the deep learning techniques are appropriate for this type of images of such low resolution, we have implement a Faster Region-Convolutional Neural Network. The results obtained are hopeful and undoubtedly encourage to continue improving this research line. With a perception of 72.85% and given the complexity of the problem presented we consider the results obtained to be highly satisfactory and it encourages us to continue improving the work presented in this article.

关键词： Thermal sensors Training Image sensors Sensor systems Heating systems Neural networks

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A real-time simulation Framework for Complex and Large-scale Optical Transport Networks based on the SDN Paradigm

A Real-time Simulation Framework for Complex and Large-scale...

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international workshop/Symposium on distributed simulation and real-time applications (DS-RT)

作者： A.A. Shah M. Mussini F. Nicassio G. Parladori F. Triggiani G. Grieco G. Iaffaldano G. Piro CNIT Consorzio Nazionale Interuniversitario per le Telecomunicazioni Italy SM Optics S.r.l. Milano Italy Experis S.r.l. Vimercate Italy DEI Politecnico di Bari Bari Italy

ISBN: (数字)9781728173436

ISBN: (纸本)9781728173443

Thanks to the recent advancements in the Software-Defined Networking (SDN) and Network Function Virtualization research domains, telecom operators are encouraged to upgrade their optical transport networks towards programmable, energy-efficient, service-oriented, and interoperable architectures. The availability of a large set of open-source building blocks, supported by different standardization bodies makes the selection and the integration of such technologies a very complex task. In this context, the INTENTO project has the objective to create an innovative simulation framework by selecting the best technologies and use it to test applications, services, and advanced optimization algorithms in a real environment. In the initial phase, the project designed a large-scale, distributed, and hierarchical Transport SDN architecture, where optical switches and networking functionalities are monitored and dynamically configured through a two-level structure of SDN controllers. On top of that, Virtual Network Functions are optimally deployed and managed by a centralized orchestrator, based on network condition, user requests, and application requirements. Based on this architecture, the project team started to develop a complex simulation environment that harmoniously integrates within the OpenStack cloud: optical node simulators composed by simulation agent and a suitable hardware emulation layer; proprietary SDN network controller designed to enable the innovative optical nodes characteristics; Open Network Operating System as the second level controller, enabling the integration of third-party or standardized models (multivendor environment), based on standardized interfaces and communication protocols. After having described the main components and functionalities already implemented into the simulation framework, the paper concludes by highlighting future research and development activities.

关键词： Protocols Optical fiber networks Optical switches Integrated optics Computer architecture Telecommunications Cloud computing

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