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Big data trend has enforced the data-centric systems to have continuous fast data streams. In recent years, real-time analytics on stream data has formed into a new research field, which aims to answer queries about “what-is-happening-now” with a negligible delay. The real challenge with real-time stream data processing is that it is impossible to store instances of data, and therefore online analytical...
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...
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...
This paper proposes an optimize dependable router suitable for accurate online error detections in adaptive or dynamic Networks on Chip (NoC). The proposed router detects and localizes data packet errors in the networks based on adaptive routing algorithm. The main originality of the proposed router is its capability to distinguish temporary and permanently errors through specific error detection...
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...
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...
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...
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...
The inverse problem of unconstrained physical systems consists in finding the set of continuous inputs for its model that minimize fitness function measuring the distance between a target and the result of the model. However either the characterization of the sensitivity of model to each input or a preliminary knowledge on the uncertainties on parameters can reveal different required precision on...
Segmentation is considered as a core step for any recognition or classification method and for the text within any document to be effectively recognized it must be segmented accurately. In this paper a text and writer independent algorithm for the segmentation of sub-words in Arabic words has been presented. The concept is based around the global binarization of an image at various thresholding levels...
Planning in a multi-site, non-mass production environment is a special challenge because of several sources of uncertainty. Unlike in mass production facilities, in our setting the current state at all sites cannot be determined easily and exactly due to the spatial distribution of sites and the low degree of automation. For re-planning in case of failures, the possible alternative actions have to...
Robot manipulators are increasingly employed in dynamic and uncertain environments. Therefore, weak and strong physical interactions with the surrounding operational environment can occur. Managing the complexity related to this trend requires simulation capabilities going far beyond traditional off-line motion planning of robots in free-space. This paper presents a dynamic simulation that addresses...
In non Destructive Testing of Materials, diffracted ultrasonic waves are used in semi automated techniques for crack detection. Signals are displayed as images and artificial intelligence allows automated interpretation in order to give a help in the decision making, especially when large structures are inspected (pipelines, reactor vessels…). This paper describes a new approach for data storage,...
In this research, we are interested in the permutation flowshop scheduling problem with minimal and maximal time lags while minimizing the total tardiness. The processing order of jobs is to be the same for each machine. The time lag is defined as the waiting time between two consecutive operations of each job. It is greater than or equal to a prescribed value called minimal time lag and smaller than...
Finding and classifying all efficient solutions for a Bi-Objective Integer Linear Programming (BOILP) problem is one of the controversial issues in Multi-Criteria Decision Making problems. The main aim of this study is to utilize the well-known Data Envelopment Analysis (DEA) methodology to tackle this issue. Toward this end, we first state some propositions to clarify the relationships between the...
The present paper considers a supply chain which consists of a customer and two capacitated suppliers. The customer receives the proposition of a new product procurement and seeks to allocate demand volume to suppliers in a manner to maximize his profit. Suppliers employ base stock policies for inventory replenishment. Each supplier chooses a base stock level which maximizes his profit. In addition,...
In this paper, a new method based on decomposition of Markov Decision Process (MDP) for traffic control at isolated intersection is proposed. The conflicting traffic flows should be grouped into different combinations which can occupy the conflict zone concurrently. Thus, for purpose of traffic delay reduction, the optimal policy of signal sequence and duration among different combinations is studied...
We study the integration of the carbon emission constraint into the single item uncapacitated lot sizing problem (ULSP) under the cap-and-trade policy. Besides a limitation on the total carbon emitted through the production and storage activities over the entire hoziron, the cap-and-trade policy allows the firm to buy and to sell carbon units in case of need or surplus. In addition to the classical...
In this paper, a multi-variable nonlinear control of a twin rotor aerodynamical system (TRAS) is presented. A control-oriented state-space model with four states is derived employing Lagrange's equations. Using this system representation, a multi-variable flatness-based control is designed for an accurate trajectory tracking concerning both the pitch angle characterising the vertical motion and the...
A comparison between asymptotic and non-asymptotic identification algorithms for a first-order plus time delay system is discussed. This paper describes three methods to identify a mathematical model for a real process with a time delay from experimental data, namely: area, parametric and algebraic methods. These methods are all demonstrated on the Process Trainer, PT326 from Feedback Instruments...
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