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Bayesian networks (BNs) have been used in different contexts of decision support solutions such as directive, strategic, tactical and operational. These contexts differ from each other only in the realization of the decision support in terms of time. The real-time implementation of BN in an embedded system for resource optimization is very challenging because of the low computation capacity in embedded...
This paper is concerned with distributed event-triggered H∞ filtering for a discrete-time linear system over a sensor network. Sensor nodes are physically distributed and communicated through network medium. Firstly, a distributed event-triggered communication scheme is presented to determine when the measurement output on each sensor node should be broadcast and transmitted to its neighboring nodes...
Microcontroller modules are introduced to a life test system to apply stimuli and stress patterns to the unit under test. The firmware must evaluate the status or operational function of the tested device for a multitude of different applications. A finite-state machine design for the microcontroller is presented that is configurable via a communication bus. The controller acts according to the given...
Ethernet is emerging for many distributed real-time applications in industrial environments. It is also considered for substation automation in power systems with regard to IEC 61850 offering many advantages over conventional parallel wiring with analog signals. Mission-critical for protection and control systems as well as other demanding applications is the end-to-end delay of messages. Beside the...
The correct functioning of real-time systems depends not only on the logically correct response, but also the time when it is given. This type of application is increasingly present today and the processing demand is such that complex processors are needed. Unfortunately general purpose processors are not well suitable for hard real-time applications due to their non-deterministic behavior caused...
This paper presents a real time algorithm, based on a segmentation and labelling technique, for analog transducer signals, which extracts information from the signal. The process of sampling is extremely important because it is the only one that connects the real world with the digital world. In addition, the proposed technique can be embedded into sensors, allowing applications in sensor networks...
Hard-real time video systems require deterministic admission control decisions to maintain high levels of predictability. These decisions can be based on the state-of-the-art schedulability analysis of tasks and flows. However, due to the pessimistic behaviour of the schedulability analysis and the uncertainties in the application, the multi-core system resources are usually under-utilised. In this...
This paper presents a method to determine the latency of memory instructions, aimed for use in WCET tools. We use a technique known as value analysis. Considering a processor with different data memory latencies, value analysis is used to determine the possible values of processor registers statically, allowing the recognition of memory addresses (main memory or ScratchPad Memory) in order to obtain...
The use of cloud computing in different application areas is growing fast. More and more functions are being moved into the cloud in order to take advantage of cloud computing strengths such as scalability, resources on demand, and usage based cost models. However, most types of embedded systems are still in an early phase of cloud adoption, with a few exceptions found in e.g., data storage and user...
This paper introduces the smoke detection method for surveillance cameras. The background subtraction was used to determine moving objects. Color probability was utilized to find possible smoke pixels in a scene. Separate pixels, acquired by background subtraction, were united by morphological operations and connected components labeling methods. The existence of the smoke region is then confirmed...
Smart transportation is an application of intelligent system on transportation domain, expected to bring the society environmental and economic advantages. By combining with IoT techniques, the concept is being enhanced and raised to a system level. Numerous data are able to collect and effective analysis technique is needed. Here in this paper, we proposed a framework of employing IoT technique to...
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...
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...
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,...
Water scarcity and water stress issues pose a serious threat to the global population. The traditional way of manual meter reading is furthermore inconvenient and time consuming, and it wastes resources. This method is also unable to manage the sustainable water resources effectively since it requires efficient, accurate and reliable monitoring techniques that enable the utilities sector and consumers...
This paper presents a self-learning strategy for an artificial cognitive control based on a reinforcement learning strategy, in particular, an on-line version of a Q-learning algorithm. One architecture for artificial cognitive control was initially reported in [1], but without an effective self-learning strategy in order to deal with nonlinear and time variant behavior. The anticipation mode (i.e...
Cyber-physical systems show their impacts in many areas including industrial automation. Design and analysis of cyber-physical automation systems requires an integral model that takes into account tight coordination of control, communication and physical plants dynamics, thus creating a new research domain, namely industrial cyber-physical systems. This paper proposes a new execution semantics for...
The large-scale roll out of renewables in several regions in the world has led to changes in the planning and operation of the power systems. They are becoming visible nowadays on all voltage levels in distribution and partly also in transmission grids. This creates additional challenges to energy utilities due to their stochastic generation behavior. Sophisticated component design methods, intelligent...
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