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International Conference on Control, Decision and Information Technologies (CoDIT), Ecole Natl Ingenieurs Metz, Metz, FRANCE, NOV 03-05, 2014; International audience; The need to integrate multiple wireless communication protocols into a single low-cost flexible hardware platform is prompted by the increasing number of emerging communication protocols and applications in modern embedded systems. So the current challenge is to design of new digital architectures, in addition to its ability to take over of many functions. In this paper we have identified similarities between the despreader units in Rake receiver and the processor element in FFT-SDF (Fast Fourier Transform-Single path Delay Feedback) to propose a generic architecture shared between the two algorithms widely used. This Smart architecture is interconnected with similar modules by a 3D Network-on-Chip for implementation of Rake receiver (used in WCDMA system) and FFT receiver (in OFDM system). We present in this paper a 3D-NoC with half layer-layer connection, this architecture uses a modified XYZ routing algorithm. The proposed architectures are coded using VHDL onto a Virtex 5 Field-Programmable Gate Array (FPGA) device and results are compared with similar works. The implementation demonstrates that the proposed architectures can deliver a high reduction of the FPGA logic requirements with high maximum frequency.

International Conference on Control, Decision and Information Technologies (CoDIT), Ecole Natl Ingenieurs Metz, Metz, FRANCE, NOV 03-05, 2014; International audience; We present an optimization of reliable Network on Chip (NoC) structure dedicated to dynamic reconfigurable systems (DRS) based on FPGA. The originality of our approach is based on a strategic placement of router incorporating elements of dependability. The solution is a factorization of these reliable routers encompassing routers without any error detection block. This ensures the global reliability of the network and reduce the cost of area, the latency of the data packets and the power consumption. The proposed approach can be applied to the majority NoC topologies.

This paper deals with setting up the parameters of a PI controller to be applied in a system for the regeneration of potable water. Because of the presence of a saturation, the system to be controlled is a nonlinear one and its nonlinearity consists of the positiveness of its output. Moreover, an anti-windup control structure is considered to manage saturation effects. In order to analyse the stability and the dynamic performance of the controlled system a Lyapunov approach is proposed. Through this approach the condition of the three parameters which characterise the controller (PI and anti-windup scheme) are calculated to obtain a compromise between a stability and fast dynamics. Simulations using real parameters of the system are shown.

Single-input and single-output (SISO) controlled autoregressive moving average system by using a scalar factor input-output data is considered. Through data scaling, a simple identification technique is obtained. Using input-output scaling factors a data Recursive Least Squares (RLS) method for estimating the parameters of a linear model and contemporary sinusoidal disturbance detection is deduced. For estimating parameters of a model in nano range a very high frequency input signal with a very small sampling rate is needed. The main contribution of this work consists of the use of a scaled Recursive Least Square with a forgetting factor. Using this proposed technique, a low input signal frequency and a wider sampling rate can be used to identify the parameters. In the meantime, the scaling technique reduces the effect of the external disturbance so that RLS can be applied to identify the disturbance without considering a model of it. The proposed technique is quite general and can be applied to any kind of linear systems. The simulation results indicate that the proposed algorithm is effective.

To develop efficient Li-ion powered systems, Cell testing and charactering are required to evaluate cell performance. However, testbenches are really expensive and test procedures provided are not the ones expected. In this article, we propose a testbench design based on Instrumentation software and hardware co-design. An efficient charging and discharging hardware has been proposed and developed by using a remotable laboratory supply as main virtual component. Software mechanisms are explained where the test procedures are detailed. in a second part. Acquisition constraints for measuring equipment are also specified in order to obtain relevant and valid data.

In this paper a model of a hybrid actuator is proposed. It consists of a piezo-mechanical structure (including a hydraulic transmission ratio) and a hydraulic aggregate. Moreover, a cascade control strategy based on Model Predictive Control (MPC) is proposed to track periodic valve trajectory signals. The proposed cascade control structure consists of an internal and an external controller. The secondary, internal controller is needed to accomplish a Soft Landing. The MPCs are combined with two feed forward control actions, one for each part of the model. Simulation results carried out the suitability of the control approach.

International Conference on Control, Decision and Information Technologies (CoDIT), Ecole Natl Ingenieurs Metz, Metz, FRANCE, NOV 03-05, 2014; International audience; We present and investigate, in the first part of this paper, a set of published works that may be employed to remotely quantify mental stress based on physiological signals by non-contact means. Several techniques can be used to this purpose, thermal imaging being currently the most advanced in our knowledge. Webcams correspond to a ubiquitous and to the most accessible techniques in the particular purpose of mental stress detection. After all these theoretical reminders, we present a pilot study based on a new framework that was developed to detect mental workload changes using video frames obtained from a low-cost webcam. To induce stress, we have employed a computerized Stroop color word test on twelve subjects. The results offer further support for the applicability of mental workload detection by remote and low-cost means, providing an alternative to conventional contact techniques.

Communication in networked systems must be reliable during run time data exchanges. Therefore, their specifications and designs must be clear, understandable and follow specific rules. Indeed, these systems must guard against potential failures in preventing faults and associated errors, failures or allowing a degraded operating modes in order to protect against global system failures while maintaining a minimum of functionality in the case of irreversible failures, thanks to fault tolerant and security mechanisms. Given challenges of verification by simulation of these complex systems have made the huge number of possible states of carrying operation, and to ensure reliability requirements, we propose a formal proof verification as an alternative operation and validation blocks against defects through one proposed self-adaptive fault tolerance paradigm suitable for occurred errors of networked embedded systems. The formalization process based on an incremental and validated correct-by-construction development of the proposed reliability mechanisms are designed and proved in order to ensure accuracy operating required related dependability of communication wireless networked systems.

Segmentation of image is used from a long time in medical image applications and its study is increased for enhanced the medical diagnosis. This paper concerns a deformable segmentation method for abnormal cells detection by using an improved Level set model which is solved several problems and disadvantages of others segmentation technique. Our approach employed by using real data of carcinoma cells obtained from optical microscopy. Preliminary simulation results showed high performance metrics of the proposed model. Comparative study with manual segmentation demonstrated and confirmed that the level set can be a promise model of abnormal cells detection and in a particularly an irregular shape like carcinoma cells type.

This paper concerns the design and the implementation of a transimpedance amplifier (TIA) dedicated to detector of Near Infrared spectroscopy (NIRS). To reduce the effect of the input capacitance on the bandwidth, a bias circuit with low input impedance is connected to input stage. A single ended common source common gate input stage based on a cascode structure is used to get a higher gain bandwidth closed loop transimpedance amplifier. In addition, a higher open loop gain is got by adding second active load. To increase noise circuit performance, a feedback single transistor technique is considered. The TIA is implemented in 0.18 mu m CMOS process. Simulation results show a transimpedance gain of 104.2 dB Omega, -3dB bandwidth of 19 MHz and an equivalent input noise current spectral density of 446 fA/root Hz. A comparative study confirms the feasibility of our proposal.

International Conference on Control, Decision and Information Technologies (CoDIT), Ecole Natl Ingenieurs Metz, Metz, FRANCE, NOV 03-05, 2014; International audience; We consider the single machine scheduling problem with release dates and tails, provided that the machine is unavailable during a fixed interval. This problem is strongly NP-hard. We use the Jackson's preemptive algorithm with precedence constraints to compute a lower bound and the Schrage's sequence as an upper bound. Then, we propose an improved lower bound which is based on an iterative procedure. Numerical experiments show the effectiveness of the bounds.

This paper describes the optimization of an electronic nose (E-nose) equipped with metal-oxide gas sensors and dedicated to continuous concentration monitoring of volatile molecules. The optimization concerns particularly the selection of more appropriate characteristic features coupled with measurement conditions in order to minimize both the measurement time and the gas sensor drifts. First, a promising and fast feature corresponding to the maximum of the derivative curve of the sensor time-response is explored. The performance of this feature is demonstrated by comparison with a conventional steady-state feature, especially regarding its occurrence time, stability and sensitivity. Then the optimization of the measurement time (delay between two successive detections) has been illustrated and discussed. Optimized operating conditions and feature were finally validated by using non-supervised and supervised data mining analyses which show robust concentration discrimination. This optimization work constitutes an important step in real time applications for E-nose users.

This paper focuses on modelling and performance evaluation of an Intermodal Freight Transport Terminal (IFTT), the rail-road inland terminal of a leading Italian intermodal logistics company. The IFTT is regarded as a discrete event system and is modelled in a timed Petri net framework. By means of suitable performance indices, we simulate the Petri net model and evaluate the operational performance of the transport system. This allows assessing the efficiency level of the terminal and identifying its criticalities and bottlenecks. Further, the model allows evaluating different solutions to the recognized criticalities under alternative scenarios (e.g., when inflow traffic increases and congestions may occur).

In this paper, we consider the Robust Nurse Assignment Problem. This consists in finding the maximum number of absences of qualified nurses still permitting an optimal treatment of patients, leading us to the notion of critical jobs. We introduce the Bipartite Complete Matching Vertex Interdiction Problem as the graph formulation of this problem. We show that it can be solved in polynomial time thanks to the integer polytope of an associated sub-problem. Then, we study the polytope associated with the Bipartite Complete Matching Vertex Interdiction Problem. We also extend the well-known Hall theorem to this problem.

Generally, Negative emotions can lead to health problems. In order to detect negative emotions, an advanced method of the EMG signal analysis is presented. Negative emotions of interest in this work are: fear, disgust and sadness. These emotions are induced with presentation of IAPS (International Affective Picture System) images. The EMG signal is chosen to extract a set of characteristic parameters to be used for classification of emotions. The analysis of EMG signal is performed using the wavelet transform technique to extract characteristic parameters while the classification is performed using the SVM (Separator Vector Machine) technique. The results show a good recognition rates using these characteristic parameters.

In this paper, a self-organized reliability technique is presented to test the Network on Chip (NoC) parts of networked reconfigurable MPSoC. We propose a new mechanism based on delocalized offline tests to detect and locate permanent errors in the NoC through networked multi-nodes system. Concepts and mechanisms of the proposed approach are detailed in the case of a network system based on Zigbee wireless communication where error detections and timing performance are giving.