This work presents a diagnosis method for railway traffic security installations. More specifically, the authors present a series of diagnosis charts for passing signals on a railway block equipped with an automatic b...
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We present a multi-modal Deep Neural Network (DNN) approach for bird song identification. The presented approach takes both audio samples and metadata as input. The audio is fed into a Convolutional Neural Network (CN...
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This paper presents a novel method for the discovery of new analytical filters suitable for filtering of noise in Monte Carlo rendering. Our method utilizes genetic programming to evolve the set of analytical filterin...
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From smart buildings to medical devices to smart nations, softwaresystems increasingly integrate computation, networking, and interaction with the physical environment. These systems are known as Cyber-Physical Syste...
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ISBN:
(纸本)9781728133683
From smart buildings to medical devices to smart nations, softwaresystems increasingly integrate computation, networking, and interaction with the physical environment. These systems are known as Cyber-Physical systems (CPS). While these systems open new opportunities to deliver improved quality of life for people and reinvigorate computing, their engineering is a difficult problem given the level of heterogeneity and dynamism they exhibit. While progress has been made, we argue that complexity is now at a level such that existing approaches need a major re-think to define principles and associated techniques for CPS. In this paper, we identify research challenges when modelling, analysing and engineering CPS. We focus on three key topics: theoretical foundations of CPS, self-adaptation methods for CPS, and exemplars of CPS serving as a research vehicle shared by a larger community. For each topic, we present an overview and suggest future research directions, thereby focusing on selected challenges. This paper is one of the results of the Shonan Seminar 118 on Modelling and Analysing Resilient Cyber-Physical systems, which took place in December 2018.
The emergence of cyber physical systems in the manufacturing domain creates new requirements for shop floor devices. Due to their diverse structure, buildup a seamless communication is one major challenge. In recent y...
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The emergence of cyber physical systems in the manufacturing domain creates new requirements for shop floor devices. Due to their diverse structure, buildup a seamless communication is one major challenge. In recent years, several communication standards, e.g., OPC-UA, tried to tackle this issue. Until now, they have not fully developed their potential, because of inherent implementation complexity and specific formats, although well-known modeling standards such as UML exist. The presented approach aims to overcome this complexity by enabling an automatic transformation from UML class diagrams to OPC-UA information models using ATL and by extending UML to guarantee information preserving transformations.
A playbook in American Football can consist of hundreds of plays, and to learn each play and the corresponding assignments and responsibilities is a big challenge for the players. In this paper we propose a teaching t...
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We present a multi-modal Deep Neural Network (DNN) approach for bird song identification. The presented approach takes both audio samples and metadata as input. The audio is fed into a Convolutional Neural Network (CN...
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We present a multi-modal Deep Neural Network (DNN) approach for bird song identification. The presented approach takes both audio samples and metadata as input. The audio is fed into a Convolutional Neural Network (CNN) using four convolutional layers. The additionally provided metadata is processed using fully connected layers. The flattened convolutional layers and the fully connected layer of the metadata are joined and fed into a fully connected layer. The resulting architecture achieved 2., 3. and 4. rank in the BirdCLEF2017 task in various training configurations.
More and more elements in a modern production system are becoming smart devices and it is reasonable to integrate them into a Cyber Physical Production System (CPPS) in a consistent manner. There is the broad goal of ...
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More and more elements in a modern production system are becoming smart devices and it is reasonable to integrate them into a Cyber Physical Production System (CPPS) in a consistent manner. There is the broad goal of many industrial players to open the rich potential of the Industrial Internet of Things (IIoT), which has to be fast, secure and adaptive. The growing number of “things” in a production system requires satisfying connectivity solutions that are different to an easy coming “Peer-to-Peer architecture (P2P)”. The approach followed at the [email protected] – the Learning Factory of Graz university of technology in Austria – to achieve such an integration is to deploy an Enterprise Service Bus (ESB), which is at the core of Service Oriented Architecture (SOA). The goal is to integrate three main software applications including the Product Lifecycle Management (PLM), the Enterprise Resource Planning (ERP) and the Management Execution System (MES). The additional challenge in this project is that these mentioned main applications are all provided by different suppliers. The selected SOA approach provides the basis for a scalable and extensible solution via Connectivity Modules and standardized interfaces. The [email protected] validates this SOA approach by applying it to a real and fully operational manufacturing line. The [email protected] is not only a learning factory but rather an open ecosystem by offering both students and researchers as well as industrial partners the ability to perform research on this subject. It is thus the ideal place to study the challenges and to understand the benefits of pushing a CPPS to a mature level in terms of connectivity in a manufacturing context.
At the Faculty of Computer Science at the TU Wien, vienna, Austria, the studies of computer science (CS) face two issues in the first year: a gender gap and a high student dropout rate. In order to tackle these proble...
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All too often, the performance of vehicular communications is benchmarked merely for a single link. A major challenge for benchmarking the performance of multiple interacting vehicles is the definition of repeatable v...
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