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This paper introduces a new strategy for data gathering in wireless sensor networks that takes into account the need for both energy saving and for a reasonable tradeoff between robustness and efficiency. The proposed algorithm implements an efficient strategy for retransmission of lost packets by discovering alternative routes and making clever use of multiple paths when necessary; in order to do...
Data access and software exchange are often achieved over insecure networks such as the public Internet. System designers are therefore forced to be proactive with regard to verifying the identity of both human users and software processes that request access to protected resources such as factory data. In this paper we show a new security architecture based upon Web services that supports authentication,...
In recent years sensor networks have gained a lot of interest for industrial applications. The target of this paper is to define an analytical framework to evaluate the transient behavior of a sensor network in which sensors implement the energy-saving technique of idle/active states. The model captures the behavior of the battery lifetime of each sensor, and is able to evaluate the distribution of...
Embedded systems have specific real-time requirements that led to the development of dedicated communication protocols. Such systems often face increasing communication needs and the integration of switched Ethernet architecture. But moving from existing dedicated field-buses architectures to new Ethernet based architectures is not always easily feasible, due to industrial constraints. In this paper,...
Remote control involves several issues that degrade seriously the performance of the plant to be controlled. This paper presents a strategy improving the characteristics of the remote control system, using an online adaptive neural net, in order to learn the variations of the remote system parameters to minimize the errors. This strategy is successfully applied to a client-server remote control system...
In this work, we have explored a novel model of learning machine which seems to be able to emulate effectively the way of functioning of the traditional on-off lambda sensors (i.e. O2 sensor). These sensors are a low cost solution used in the SI (spark ignition) engines to monitor the air-fuel ratio and so to maintain a strict control of the air-fuel mixture close the stoichiometric condition. The...
In the present work, an innovative nonlinear controller of nonholonomic mechanical systems, characterized by a dynamic not well known model a priori, using a new neural model obtained by the combination of a Petri net with a neural network is proposed. The performances of the control algorithm are evaluated for tasks of tracking of time trajectories. The study of the stability of the total system...
In near future, autonomous robots will be used in factories and offices. Since there are many stationary/moving obstacles in these environments, autonomous robots are require to make the path plans that can avoid moving objects such as people and robots. In this paper, we propose the path planning method to avoid the collisions with these obstacles. The proposed method consists of two planning steps...
When strong CPU power consumption constraints must be met, and high computation speed is mandatory (real-time processing), it can be preferable to adopt custom hardware for some computationally intensive image processing tasks. An alternative approach to the conventional ones is provided by the cellular neural network (CNN) paradigm. CNNs have been extensively used in image processing applications:...
The solid oxide fuel cell power plant is known to be a potential alternative in the electric utility. However, the output voltage of the solid oxide fuel cell changes with the load variations. Model predictive control is part of a family of optimization-based control methods, which are based on online optimization of future control moves. This paper proposes a model-based controller for the regulation...
In this paper we propose a new reconfigurable architecture for sensor nodes, called RANS-300, which can operate in applications demanding low power to high performance, although sacrificing the lifetime of the sensor node. This node has a FPGA board, which can be dynamically reconfigured to add new configuration, and has a Compact Flash device to expand the node possibilities
In this paper we show some sensor linearizing methods based on feed-forward neural networks (multilayer perceptron). These procedures can be easily programmed into a computer-based data acquisition system. Nevertheless, we show that introducing some simplifications in the neural network architecture, these linearization procedures can also be programmed onto low-cost microcontrollers for embedded...
In modern industrial automation systems each user is assigned a set of authorizations (permissions) to configure and operate the automation system or an automation device. Users are authenticated at log-on, and no further authentication is done on actual access of the objects. It remains possible for an individual insider user to attack the system, once he has been authenticated, e.g. by sending malicious...
Often security is seen as an add-on service for automation systems that frequently conflicts with other goals such as efficient transmission or resource limitations. This article goes for a practice-oriented approach to security in automation systems. It analysis common threats to automation systems and automation networks in particular, sets up a model to classify systems with respect to security...
This paper presents a genetic based technique to select the optimal inventory levels set-points in a supply chain (SC) for distribution. The problem to find the right set-points for the nodes of a supply chain is extremely important when the chain is managed by an automatic control. In the paper, genetic algorithms (GA) are used to search the optimal level of set-points assuming a hypothetic future...
This paper describes the hardware/software co-design of a multithreaded RTOS kernel on a new Xilinx Virtex II Pro FPGA. Our multithreaded RTOS kernel is an integral part of our hybrid thread programming model being developed for hybrid systems which are comprised of both software resident and hardware resident concurrently executing threads. Additionally, we provide new interrupt semantics by migrating...
This paper presents an implementation approach of artificial neural networks in industrial network environment, through the use of function blocks standardized by field-bus foundation (FF). This enables the implementation of a wide range of applications that involve this mathematical tool, such as intelligent control, failure detection, etc in standard FF system. For validation propose, some examples...
This paper deals with the attitude control of an underwater robot for marine archaeology, which is being developed in the framework of the TECSIS project. The control scheme is based on the use of a fuzzy extension of a traditional PD feedback loop. The controller is implemented by using a LQG control for the linearized system, where the attitude control has been developed using quaternionic algebra...
The paper addresses the problem of modelling a FMS with random recipes and controlling it with an agent-based architecture. One of the features of the system are the random recipes, i.e. recipes that are unknown a priori for the control system, which represent a high flexible-routing class of FMS. In particular, a PN model able to represent both the mechanism of generation of random recipes and then...
This paper presents a study of flexibility for the punching department in a commercial refrigerators manufacturing system. Three different technology solutions for the punching department are studied under different sets of production requirements: conventional press machines, CNC machines and laser machines solution. Analysis of changing the required production volume, as well as the introduction...
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