9,028 research outputs found
Cyber-Virtual Systems: Simulation, Validation & Visualization
We describe our ongoing work and view on simulation, validation and
visualization of cyber-physical systems in industrial automation during
development, operation and maintenance. System models may represent an existing
physical part - for example an existing robot installation - and a software
simulated part - for example a possible future extension. We call such systems
cyber-virtual systems.
In this paper, we present the existing VITELab infrastructure for
visualization tasks in industrial automation. The new methodology for
simulation and validation motivated in this paper integrates this
infrastructure. We are targeting scenarios, where industrial sites which may be
in remote locations are modeled and visualized from different sites anywhere in
the world.
Complementing the visualization work, here, we are also concentrating on
software modeling challenges related to cyber-virtual systems and simulation,
testing, validation and verification techniques for them. Software models of
industrial sites require behavioural models of the components of the industrial
sites such as models for tools, robots, workpieces and other machinery as well
as communication and sensor facilities. Furthermore, collaboration between
sites is an important goal of our work.Comment: Preprint, 9th International Conference on Evaluation of Novel
Approaches to Software Engineering (ENASE 2014
Recommended from our members
The THREAT-ARREST Cyber-Security Training Platform
Cyber security is always a main concern for critical infrastructures and nation-wide safety and sustainability. Thus, advanced cyber ranges and security training is becoming imperative for the involved organizations. This paper presets a cyber security training platform, called THREAT-ARREST. The various platform modules can analyze an organization’s system, identify the most critical threats, and tailor a training program to its personnel needs. Then, different training programmes are created based on the trainee types (i.e. administrator, simple operator, etc.), providing several teaching procedures and accomplishing diverse learning goals. One of the main novelties of THREAT-ARREST is the modelling of these programmes along with the runtime monitoring, management, and evaluation operations. The platform is generic. Nevertheless, its applicability in a smart energy case study is detailed
NEMESYS: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem
As a consequence of the growing popularity of smart mobile devices, mobile
malware is clearly on the rise, with attackers targeting valuable user
information and exploiting vulnerabilities of the mobile ecosystems. With the
emergence of large-scale mobile botnets, smartphones can also be used to launch
attacks on mobile networks. The NEMESYS project will develop novel security
technologies for seamless service provisioning in the smart mobile ecosystem,
and improve mobile network security through better understanding of the threat
landscape. NEMESYS will gather and analyze information about the nature of
cyber-attacks targeting mobile users and the mobile network so that appropriate
counter-measures can be taken. We will develop a data collection infrastructure
that incorporates virtualized mobile honeypots and a honeyclient, to gather,
detect and provide early warning of mobile attacks and better understand the
modus operandi of cyber-criminals that target mobile devices. By correlating
the extracted information with the known patterns of attacks from wireline
networks, we will reveal and identify trends in the way that cyber-criminals
launch attacks against mobile devices.Comment: Accepted for publication in Proceedings of the 28th International
Symposium on Computer and Information Sciences (ISCIS'13); 9 pages; 1 figur
Discrete event simulation and virtual reality use in industry: new opportunities and future trends
This paper reviews the area of combined discrete
event simulation (DES) and virtual reality (VR) use within industry.
While establishing a state of the art for progress in this
area, this paper makes the case for VR DES as the vehicle of choice
for complex data analysis through interactive simulation models,
highlighting both its advantages and current limitations. This paper
reviews active research topics such as VR and DES real-time
integration, communication protocols, system design considerations,
model validation, and applications of VR and DES. While
summarizing future research directions for this technology combination,
the case is made for smart factory adoption of VR DES as
a new platform for scenario testing and decision making. It is put
that in order for VR DES to fully meet the visualization requirements
of both Industry 4.0 and Industrial Internet visions of digital
manufacturing, further research is required in the areas of lower
latency image processing, DES delivery as a service, gesture recognition
for VR DES interaction, and linkage of DES to real-time data streams and Big Data sets
Cyber-Archaeology: Notes on the simulation of the past
[EN] Thirteen years after the book “Virtual Archaeology” (Forte, 1996, 97) it is time to re-discuss the definition, the key concepts and some new trends and
applications. The paper discusses the introduction of the term “cyber-archaeology” in relation with the simulation process deriving from the inter-connected and
multivocal feedback between users/actors and virtual ecosystems. In this new context of cyber worlds, it is more appropriate to talk about simulation of the past
rather than reconstruction of the past. The multivocality of the simulation opens new perspectives in the interpretation process, not imposing the final reconstruction,
but suggesting, evocating, simulating multiple output, not “the past” but a potential past.
New epistemological models of cyber archaeology have to be investigated: what happens in a immersive environment of virtual archaeology where every user is
“embodied” in the cyber space? The ontology of archaeological information, or the cybernetics of archaeology, refers to all the interconnective relationships which the
datum produces, the code of transmission, and its transmittability. Because it depends on interrelationships, by its very nature information cannot be neutral with
respect to how it is processed and perceived. It follows that the process of knowledge and communication have to be unified and represented by a single vector. 3D
information is regarded as the core of the knowledge process, because it creates feedback, then cybernetic difference, among the interactor, the scientist and the
ecosystem. It is argued that Virtual Reality (both offline and online) represents a possible ecosystem, which is able to host top-down and bottom-up processes of
knowledge and communication. In these terms, the past is generated and coded by “a simulation process”. Thus, from the first phases of data acquisition in the
field, the technical methodologies and technologies that we use, influence in a decisive way all the subsequent phases of interpretation and communication. In the light
of these considerations, what is the relationship between information and representation? How much information does a digital model contain? What sorts of and
how many ontologies ought to be chosen to permit an acceptable transmittability? Indeed, our Archaeological communication ought to be understood as a process of
validation of the entire cognitive process of understanding and not as a simple addendum to research, or as a dispensable compendium of data.[ES] Trece años después de la publicación del libro "Arqueología virtual" (Forte, 1996, 97) es el momento de volver a discutir sobre la definición, los conceptos clave y
algunas nuevas tendencias y aplicaciones de la arqueología virtual. El presente documento analiza la introducción del término "cyber-arqueología" en relación con el
proceso de simulación derivado de la interconexión y la retroalimentación multivocal y entre los usuarios / actores y ecosistemas virtuales. En este nuevo contexto de
mundos cibernéticos, es más adecuado hablar de simulación del pasado que de reconstrucción del pasado. La multivocalidad de la simulación abre nuevas
perspectivas en el proceso de interpretación, no imponiendo la última reconstrucción, sino sugiriendo, evocando, simulando múltiples resultados, y no "el pasado",
sino un potencial pasado.
Nuevos modelos epistemológicos de la arqueología cibernética deben ser investigados: Que ocurre en un entorno inmersivo de arqueología virtual cuando cada usuario
es "materializado" en el espacio cibernético? La ontología de la información arqueológica, o la cibernética de la arqueología, se refiere a la interconectividad de todas
las relaciones que produce el dato, el código de envío, y su transmisibilidad. Porque depende de las interrelaciones, por su propia naturaleza, la información no
puede ser neutral con respecto a la forma en que se procesa y percibe. De ello se deduce que el proceso de conocimiento y la comunicación han de ser unificadas y
representadas por un único vector. La información 3D se considera como el núcleo del proceso de conocimiento, porque propicia la retroalimentación, entre el
usuario, el científico y el ecosistema. Se argumenta que la Realidad Virtual (tanto fuera de línea como en línea) representa un posible ecosistema, que es capaz de
ser anfitrión de los procesos de conocimiento y comunicación tanto de arriba a abajo como de abajo a arriba. En estos términos, el pasado se genera y codifica por
"un proceso de simulación". Así, desde las primeras fases de adquisición de datos sobre el terreno, las metodologías técnicas así como las tecnologías que usamos,
influyen de manera decisiva en todas las fases de interpretación y comunicación. A la luz de estas consideraciones, ¿cuál es la relación entre la información y la
representación? ¿Cuánta información quedará incluida en el modelo digital? ¿Qué clase y cuántas ontologías deberían ser elegidas para permitir una
transmisibilidad aceptable? De hecho, la comunicación arqueológica debe ser entendida como una fase de validación de todo el proceso cognitivo de comprensión del
conocimiento, y no como una simple adición a la investigación, o como un compendio de los datos prescindible.The Virtual Museum of the Ancient Via Flaminia was supported
by Arcus spa and managed by CNR-ITABC (scientific direction)
and National Roman Museum in RomeForte, M. (2011). Cyber-Archaeology: Notes on the simulation of the past. Virtual Archaeology Review. 2(4):7-18. https://doi.org/10.4995/var.2011.4543OJS71824ANTINUCCI, A., 2004, Comunicare il museo, Laterza, Roma, 2004.BAUDRILLARD J.. 1994, Simulacra and Simulation, Ann Arbor: University of Michigan Press, 1994.BATESON, 1967, "Cybernetic explanation", in SEM, 410.BATESON, 1972, Steps to an Ecology of Mind , San Francisco, Chandler Press.BATESON G., 1979, Mind and Nature. 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Engineering methods and tools for cyber–physical automation systems
Much has been published about potential benefits of the adoption of cyber–physical systems (CPSs) in manufacturing industry. However, less has been said about how such automation systems might be effectively configured and supported through their lifecycles and how application modeling, visualization, and reuse of such systems might be best achieved. It is vitally important to be able to incorporate support for engineering best practice while at the same time exploiting the potential that CPS has to offer in an automation systems setting. This paper considers the industrial context for the engineering of CPS. It reviews engineering approaches that have been proposed or adopted to date including Industry 4.0 and provides examples of engineering methods and tools that are currently available. The paper then focuses on the CPS engineering toolset being developed by the Automation Systems Group (ASG) in the Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K. and explains via an industrial case study how such a component-based engineering toolset can support an integrated approach to the virtual and physical engineering of automation systems through their lifecycle via a method that enables multiple vendors' equipment to be effectively integrated and provides support for the specification, validation, and use of such systems across the supply chain, e.g., between end users and system integrators
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