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Researchers in the semantic web community have been designing tools and architectures to integrate heterogeneous data originated from distributed sources in the last decade. Technologies, such as RDF, have enabled new data spaces and concept descriptors to define an increasing complex and heterogeneous web of data. To these growing data resource spaces it is necessary to bridge between the different...
Increasing data security and privacy requirements combined with the need for additional data management research leads to a conflict for industrial companies. In order to solve their industrial data management problems companies need to share some of their data, but their internal confidentiality rules sometimes hamper this sharing process. Existing techniques for sharing data without releasing company...
This paper describes a tool called ExploraTool to visualise, explore and graphically query large repositories of simulations. Instead of starting with the empty list, ExploraTool provides an initial overview of the repository content, progressively grouping the simulations by their main attributes, such as brand, vehicle model, power source, engine type and so on. Users can interactively navigate...
The amount of linked open data is growing fast. Yet, it is difficult for the end users to access the semantic data without having the in depth knowledge of the SPARQL language. The modern semantic search engines tackled the problem with standard user interfaces. However, these interfaces are not very usable for people with no understanding of semantic technologies. It is challenging for the semantic...
In safety-critical environments it is no longer sufficient to rely on legacy methodologies. Correctness should be built in all the way through the process. This paper presents a toolchain which allows theorem prover output to be interfaced to fault-tolerant FPGA circuitry. We show a shallow embedding of a lambda calculus executing on a Xilinx platform with the assistance of a choice of fault-tolerance...
The paper presents a novel neural design methodology based on the End User Programming concept. The proposed solution empowers end users, by means of abstracting the low-level hardware functionalities, to hardware implement Artificial Neural Networks (ANN) using field-programmable gate arrays (FPGA). The main outcomes include rapid ANN design and hardware implementation. A case study of an ANN as...
Petri nets are often used as a design tool amenable to model specification, simulation, and verification. They are typically used in the design phase often with no clear connection to the requirements phase, including requirements specification. This paper shows how a class of non-autonomous Petri Nets can be used as an executable model for the design and implementation of machine domains in the context...
Extreme Learning Machine (ELM) is a noniterative training method suited for Single Layer Feed Forward Neural Networks (SLFF-NN). Typically, a hardware neural network is trained before implementation in order to avoid additional on-chip occupation, delay and performance degradation. However, ELM provides fixed-time learning capability and simplifies the process of re-training a neural network once...
Modular design is crucial to manage large-scale systems and to support the divide-and-conquer development approach. It allows hierarchical representations and, therefore, one can have a system overview, as well as observe component details. Petri nets are suitable to model concurrent systems, but lack on structuring mechanisms to support abstractions and the composition of sub-models, in particular...
The implementation of the Extended Prediction Self-Adaptive Controller is presented in this paper. It employs LabVIEWTM graphical programming of industrial equipment and it is suitable for controlling fast processes. Three different systems are used for implementing the control algorithm. The research regarding the controller design using graphical programming demonstrates that a single advanced control...
Timeliness and reliability are two major requirements of control systems and this true, in particular, in many industrial application areas which make use of solutions distributed over a network. Moreover, with the adoption of wireless communication technologies in industrial environments, granting timeliness and reliability for transmissions over the wireless error-prone channel has become a challenge...
Strict quality of service requirements of industrial applications, challenged by harsh environments and huge interference especially in multi-vendor sites, demand incorporation of cognition in industrial wireless sensor networks (IWSNs). In this paper, a distributed protocol of light complexity for congestion regulation in cognitive IWSNs is proposed to improve the channel utilization while ensuring...
Wireless devices are mainly used in mobile systems because they do not need any physical connection for the communication and the energy supply. Therefore, reducing the power consumption of their batteries is a critical task in order to prolong their lifetime. The main aim of this paper is to dynamically adjust both the sleeping time and the transmission power of mobile devices in an IEEE 802.11 wireless...
We analyse the use of a ΔΣ-modulator in the nodes of a wireless sensor network, which is a new method to achieve long term synchronization. We consider star topology WSNs (Wireless Sensor Networks) with a central base station and address timing synchronization using low frequency realtime clocks. The WSN uses a beacon driven TDMA-protocol for bidirectional node/base communication. Between the beacons,...
Low energy consumption is one of the primary issues that have to be addressed in body area networks to prevent frequent battery recharges in the nodes. Such networks are being increasingly used to acquire sensory data that need to be processed in real-time. The Bluetooth Low Energy (BLE) protocol is an attractive solution for implementing personal area networks with reduced energy consumption, also...
Micro grids are localized groups of electricity generators, energy storage systems, and loads with the possibility of operating both connected and disconnected from the distribution grid. This paper is focused on the automation of micro grids using heterogeneous communication networks; the new approach takes into account the need of reusing existing wired and wireless technologies and assets when...
The IEEE 802.11 standard has been evolving over the past decade, introducing a set of new mechanisms at the MAC layer to improve the Quality of Service (QoS) provided to the communication. Among such improvements, we highlight the evolution from earlier DCF and PCF, until more recent EDCA and HCCA MAC layer mechanisms. In this paper we perform a simulation assessment of these four MAC mechanisms,...
Mobile devices in industrial settings became commonplace with different handheld equipment and mobile robots using COTS WiFi interfaces for communication. This growth in the use of the wireless medium increases the potential for overload and consequent long delays and high losses. Traffic segregation with different Quality of Service (QoS) classes can attenuate the problem but does not solve it within...
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