Unknown input observer for state affine systems: A necessary and sufficient condition

The problem of designing an unknown input observer for linear systems and its application to fault detection is widely studied in the literature. For nonlinear systems, only subclasses of nonlinear systems and sufficient conditions have been stated. In this paper an unknown input observer design for state affine systems is considered. Based on the geometric approach, a necessary and sufficient condition is given for the existence of an unknown input observer.     

Building ubiquitous QoC-aware applications through model-driven software engineering

As every-day mobile devices can easily be equipped with multiple sensing capabilities, ubiquitous applications are expected to exploit the richness of the context information that can be collected by these devices in order to provide the service that is the most appropriate to the situation of the user. However, the design and implementation of such context-aware ubiquitous appplications remain challenging as there exist very few models and tools to guide application designers and developers in mastering the complexity of context information. This becomes even more crucial as context is by nature imperfect. One way to address this issue is to associate to context information meta-data representing its quality. We propose a generic and extensible design process for context-aware applications taking into account the quality of context (QoC). We demonstrate its use on a prototype application for sending flash sale offers to mobile users. We present extensive performance results in terms of memory and processing time of both elementary context management operations and the whole context policy implementing the Flash sale application. The cost of adding QoC management is also measured and appears to be limited to a few milliseconds. We show that a context policy with 120 QoC-aware nodes can be processed in less than 100 ms on a mobile phone. Moreover, a policy of almost 3000 nodes can be instantiated before exhausting the resources of the phone. This enables very rich application scenarios enhancing the user experience and will favor the development of new ubiquitous applications.     

Underdetermined blind source separation technique based on speech features extraction

This paper presents a new time–frequency approach for recovering source contribution to two convolutive mixtures. The separation task is performed on two steps: Each mixture is clustered into voiced/unvoiced frames, and then the predominant source in each time frequency bin is identified through a specific weight function which is based on sources’ excitation characteristics extraction. We investigate the performance of the proposed approach in the underdetermined context using objective quality measures. Results for separating three and four speech sources in a live recorded mixture show the superiority of the proposed method in rejecting artifacts over existing convolutive separation techniques.     

Exploration and optimization of a homogeneous tree-based application specific inflexible FPGA

An Application Specific Inflexible FPGA (ASIF) is a modified form of an FPGA which is designed for a predefined set of applications that operate at mutually exclusive times. An ASIF is a compromise between FPGAs and Application Specific Integrated Circuits (ASICs). Compared to an FPGA, an ASIF has reduced flexibility and improved density while compared to an ASIC, it has larger area but improved flexibility. This work presents a new homogeneous tree-based ASIF and uses a set of 16 MCNC benchmarks for experimentation. Experimental results show that, on average, a homogeneous tree-based ASIF gives 64% area gain when compared to an equivalent tree-based FPGA. Further, the experiments are performed to explore the effect of look-up table (LUT) and arity size on a tree-based ASIF. Later, comparison between tree and mesh-based ASIF is performed and results show that tree-based ASIF is 12% smaller in terms of routing area and consumes 77% less wires than mesh-based ASIF. Finally the quality comparison between two ASIFs reveals that, on average, tree-based ASIF gives 33% area gain as compared to mesh-based ASIF.     

Thermal Conductivity of Rubber Compounds Versus the State of Cure

The thermal conductivity of a rubber compound is studied as a function of its state of curing. The device is presented and the calculations in order to obtain samples with controlled and homogeneous vulcanization rates are performed. The hot disk technique is used to measure the thermal conductivity of the rubber. This transient, plane‐source and non‐destructive method allows rapid and accurate measurement of the thermal conductivity based on the measurement of the electrical resistance of a plane sensor placed between two identical samples. The obtained results show that the thermal conductivity may vary significantly as a function of vulcanization rate. The effect of this variation on the prediction of the reaction progress is discussed.

     

Effect of supplementing compost with grapeseed meal on Agaricus bisporus production

BACKGROUND: This work assesses the agronomic performance of grapeseed meal, before and after oil extraction, in nutritional compost supplement when growing the mushroom species Agaricus bisporus (Lange) Imbach. The effect of formaldehyde treatment before using this compost is also considered. Materials were applied at different doses at spawning. Along with non‐supplemented compost, three commercial nutritional supplements were used as controls. RESULTS: In general terms, grapeseed meal performance was similar to that of commercial delayed‐release nutrients, but improved the non‐supplemented compost response. We highlight that grapeseed enhances performance as larger yields of harvested mushrooms were obtained with greater dry weight content; however, their protein content was lower. The best performance was displayed by fresh formaldehyde‐treated grapeseed (6000 ppm) when applied to the 10 g kg^?1 compost dose. CONCLUSIONS: Our findings suggest that grapeseed meal offers a great potential to be applied on a commercial scale. The addition of grapeseed resulted in an enhanced performance as shown by the higher number of harvested mushrooms. The use of grapeseed meal (extracted or non‐extracted), a low‐cost ingredient with high levels of carbohydrates, may suppose an economic profit on the basis of the positive effect of adding carbon in the mushroom cultivation. Copyright © 2012 Society of Chemical Industry     

Use of Electrocoagulation with Aluminum Electrodes to Reduce Hardness in Tunisian Phosphate Mining Process Water

This study evaluated electrocoagulation using Al electrodes for removal of non-carbonate hardness in phosphate mining process water. Examination of process parameters identified optimal conditions for hardness removal at pH 7, a NaCl concentration of 4 g/L, a current density of 22.2 mA/cm², an inter-electrode distance of 2 cm, a stirring speed of 450 revolutions per minute, and a treatment time of 30 min. Production of primary coagulant during electrolysis improved removal of both calcite and magnesium hydroxide. The optimized hardness removal was highly efficient, with an overall removal rate of 83.8 % at 30 min of retention time.