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Composing distributed automation systems from components is challenging due to large variety and number of available components on the market. Multiple criteria need to be considered such as functional coverage, price, interoperability, vendor homogeneity, and energy. The paper introduces a novel heuristic approach for selecting devices considering such criteria. The performance of the approach is...
To reduce the aircraft weight and maintenance costs while guaranteeing system performance and reliability, an alternative avionic communication architecture based on Ultra Wide Band (UWB) and TDMA protocol is proposed to replace the back-up part of safety-critical avionics network. The analysis and performance optimization of such a proposal is tackled as follows. First, appropriate system modeling...
Optimizing the resource consumption by the products (machines) and making them environment friendly is the aim of almost all producers today. May it be due to cost of resources, their limited availability, their affect on the environment or consumer awareness. Ample research is being carried out at national and international level for resource optimization. Adding intelligence and learning capability...
This paper focuses on energy optimisation in the context of lifts. Modern lifts embed batteries that are so far used only in emergency. We propose a multi-level optimisation strategy to reduce the electricity bill by combining harvesting, the grid and energy stored in batteries. The strategy combines several analytic components (forecaster, optimisers), modelled/measured variables, and is used by...
Optimizing the configuration and overall performance of synchronized modular systems is considered in this paper. The synchronized modules can be considered as a hybrid system, including continuous-time dynamics of local moving devices, combined with high-level discrete event sequences. The continuous-time trajectories are approximated by the Gauss pseudospectral method, resulting in a nonlinear programming...
This paper focuses on the optimization of the TTEthernet communication protocol, which offers three traffic classes: time-triggered (TT), sent according to static schedules, rate-constrained (RC) that has bounded end-to-end latency, and best-effort (BE), the classic Ethernet traffic, with no timing guarantees. In our earlier work we have proposed an optimization approach named DOTTS that performs...
We propose an assistance system which observes a process involving humans and automatically takes measures in situations where ergonomic guidelines are violated. The system uses a Microsoft Kinect Sensor to capture a depth map of the scene. Using this sensory information, the system extracts working pose and assesses ergonomics in the current situation. If an ergonomically critical situation occurs,...
An AUTOSAR-based software application contains a set of software components, each of which encapsulates a set of runnable entities. In fact, the mission of the system is fulfilled as result of the collaboration between the runnables. Several trends have recently emerged to utilize multi-core technology to run AUTOSAR-based software. Not only the overhead of communication between the runnables is one...
Inventory management is one of the main tasks that the pharmacy department has to carry out in a hospital. It is a complex problem that requires to establish a tradeoff between different and contradictory optimization criteria. The complexity of the problem is increased due to the constraints that naturally arise in this type of applications. In this paper, which corresponds to preliminary works performed...
In safety-critical systems a global high-reliability is sought, including in the communication network when a distributed control system is used. The FlexRay protocol was developed within the automotive industry with the necessary characteristics to respond to the demands of safety-critical applications, e.g. X-by-wire. Nevertheless, the FlexRay protocol does not define a mechanism to guarantee message...
Networked systems consisting of many different components are gaining more and more importance in human's living environment (e.g. communication, entertainment, building automation). The design process for such systems is also harder because of the growing complexity and the inhomogeneity of sub-systems realizing different functions. This results in a multi-criteria high-complex combinatorial device...
This paper deals with the production control of a manufacturing/remanufacturing system within a closed loop reverse logistics system with machines subject to random failures and repairs. Three types of inventories are involved in this system. The manufactured and remanufactured products are stored respectively in the manufacturing and remanufacturing inventories. The returned products are collected...
The paper addresses the emerging need of providing urban managers with tools for energy governance of smart cities. We present the architecture of a decision support system called Urban Control Center (UCC). The UCC measures the city energy performance and supports the decision maker in determining the optimal action plan for implementing smartness strategies in the city energy governance. To this...
A simple PI tuning rule for integrating plus dead time (IPDT) systems, with large parametric uncertainty, is developed. In order to deal with parametric uncertainty a family of plants is considered. The design specifications are upper bounds on the sensitivity and the complementary sensitivity functions, that must be satisfied for any element belonging to the plants set. When applied to a system without...
We present a new approach for linear classification optimisation based on Combinatorial Refinement (ComRef) of feature weighting for cognitive signal processing in resource-limited hardware and software like in Cyber-physical systems. Despite simple construction, the approach is able to connect advantages of dimensionality reduction methods and such like combining multiple classifiers resp. Bag-of-classifiers-approaches...
In this paper, a technique of combining Lagrangian relaxation (LR) with a differential evolution algorithm (DEA) method (LR-DEA) is proposed for solving unit commitment (UC) problem of thermal power plants. The merits of DEA method are parallel search and optimization capabilities. The unit commitment problem is formulated as the minimization of a performance index, which is sum of objectives (fuel...
The Constrained Application Protocol (CoAP) is a new Web protocol for the Internet of Things that allows to connect IoT devices directly to services hosted in the cloud. CoAP is based on UDP to better fit the requirements of constrained environments with resource-constrained nodes and low-power communication links. Being an Internet protocol, CoAP must still adhere to congestion control, primarily...
To meet the challenges of the big data age, an urgent requirement from diverse manufacturing industries is to develop a systematic time-variant methodology to make good use of the condition parameters to benefit more from the monitoring point of view. With condition-based Statistical Process Control (SPC), we develop a time-variant Exponentially Weighted Moving Average-Cumulative Sum (EWMA-CUSUM)...
Particle swarm optimization (PSO) is a stochastic algorithm conceived to solve complex optimization problems. Since its first appearance, different models of PSO have been proposed, in order to improve its search characteristics. Despite the results in literature are very promising, PSO has not been deeply applied within the industrial domain, mainly due to the lack of integrated tools conceived to...
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