60,739 research outputs found
Mechatronics & the cloud
Conventionally, the engineering design process has assumed that the design team is able to exercise control over all elements of the design, either directly or indirectly in the case of sub-systems through their specifications. The introduction of Cyber-Physical Systems (CPS) and the Internet of Things (IoT) means that a design team’s ability to have control over all elements of a system is no longer the case, particularly as the actual system configuration may well be being dynamically reconfigured in real-time according to user (and vendor) context and need. Additionally, the integration of the Internet of Things with elements of Big Data means that information becomes a commodity to be autonomously traded by and between systems, again according to context and need, all of which has implications for the privacy of system users. The paper therefore considers the relationship between mechatronics and cloud-basedtechnologies in relation to issues such as the distribution of functionality and user privacy
Lecture Notes in Electrical Engineering vol. 365
This book includes the original, peer-reviewed research papers from the 2nd
International Conference on Electrical Systems, Technology and Information
(ICESTI 2015), held during 9–12 September 2015, at Patra Jasa Resort & Villas
Bali, Indonesia.
The primary objective of this book is to provide references for dissemination and
discussion of the topics that have been presented in the conference. This volume is
unique in that it includes work related to Electrical Engineering, Technology and
Information towards their sustainable development. Engineers, researchers as well
as lecturers from universities and professionals in industry and government will
gain valuable insights into interdisciplinary solutions in the field of Electrical
Systems, Technology and Information, and its applications.
The topics of ICESTI 2015 provide a forum for accessing the most up-to-date
and authoritative knowledge and the best practices in the field of Electrical
Engineering, Technology and Information towards their sustainable development.
The editors selected high quality papers from the conference that passed through a
minimum of three reviewers, with an acceptance rate of 50.6 %.
In the conference there were three invited papers from keynote speakers, whose
papers are also included in this book, entitled: “Computational Intelligence based
Regulation of the DC bus in the On-Grid Photovoltaic System”, “Virtual
Prototyping of a Compliant Spindle for Robotic Deburring” and “A Concept of
Multi Rough Sets Defined on Multi-Contextual Information Systems”.
The conference also classified the technology innovation topics into five parts:
“Technology Innovation in Robotics, Image Recognition and Computational
Intelligence Applications”, “Technology Innovation in Electrical Engineering,
Electric Vehicle and Energy Management”, “Technology Innovation in Electronic,
Manufacturing, Instrumentation and Material Engineering”, “Technology
Innovation in Internet of Things and Its Applications” and “Technology Innovation
in Information, Modeling and Mobile Applications”
Emerging privacy challenges and approaches in CAV systems
The growth of Internet-connected devices, Internet-enabled services and Internet of Things systems continues at a rapid pace, and their application to transport systems is heralded as game-changing. Numerous developing CAV (Connected and Autonomous Vehicle) functions, such as traffic planning, optimisation, management, safety-critical and cooperative autonomous driving applications, rely on data from various sources. The efficacy of these functions is highly dependent on the dimensionality, amount and accuracy of the data being shared. It holds, in general, that the greater the amount of data available, the greater the efficacy of the function. However, much of this data is privacy-sensitive, including personal, commercial and research data. Location data and its correlation with identity and temporal data can help infer other personal information, such as home/work locations, age, job, behavioural features, habits, social relationships. This work categorises the emerging privacy challenges and solutions for CAV systems and identifies the knowledge gap for future research, which will minimise and mitigate privacy concerns without hampering the efficacy of the functions
Modeling the Internet of Things: a simulation perspective
This paper deals with the problem of properly simulating the Internet of
Things (IoT). Simulating an IoT allows evaluating strategies that can be
employed to deploy smart services over different kinds of territories. However,
the heterogeneity of scenarios seriously complicates this task. This imposes
the use of sophisticated modeling and simulation techniques. We discuss novel
approaches for the provision of scalable simulation scenarios, that enable the
real-time execution of massively populated IoT environments. Attention is given
to novel hybrid and multi-level simulation techniques that, when combined with
agent-based, adaptive Parallel and Distributed Simulation (PADS) approaches,
can provide means to perform highly detailed simulations on demand. To support
this claim, we detail a use case concerned with the simulation of vehicular
transportation systems.Comment: Proceedings of the IEEE 2017 International Conference on High
Performance Computing and Simulation (HPCS 2017
- …