Showing papers by "Grenoble Institute of Technology published in 2012"

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Abstract: Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras. Imaging spectrometers are therefore often referred to as hyperspectral cameras (HSCs). Higher spectral resolution enables material identification via spectroscopic analysis, which facilitates countless applications that require identifying materials in scenarios unsuitable for classical spectroscopic analysis. Due to low spatial resolution of HSCs, microscopic material mixing, and multiple scattering, spectra measured by HSCs are mixtures of spectra of materials in a scene. Thus, accurate estimation requires unmixing. Pixels are assumed to be mixtures of a few materials, called endmembers. Unmixing involves estimating all or some of: the number of endmembers, their spectral signatures, and their abundances at each pixel. Unmixing is a challenging, ill-posed inverse problem because of model inaccuracies, observation noise, environmental conditions, endmember variability, and data set size. Researchers have devised and investigated many models searching for robust, stable, tractable, and accurate unmixing algorithms. This paper presents an overview of unmixing methods from the time of Keshava and Mustard's unmixing tutorial to the present. Mixing models are first discussed. Signal-subspace, geometrical, statistical, sparsity-based, and spatial-contextual unmixing algorithms are described. Mathematical problems and potential solutions are described. Algorithm characteristics are illustrated experimentally.

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Abstract: Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras. Imaging spectrometers are therefore often referred to as hyperspectral cameras (HSCs). Higher spectral resolution enables material identification via spectroscopic analysis, which facilitates countless applications that require identifying materials in scenarios unsuitable for classical spectroscopic analysis. Due to low spatial resolution of HSCs, microscopic material mixing, and multiple scattering, spectra measured by HSCs are mixtures of spectra of materials in a scene. Thus, accurate estimation requires unmixing. Pixels are assumed to be mixtures of a few materials, called endmembers. Unmixing involves estimating all or some of: the number of endmembers, their spectral signatures, and their abundances at each pixel. Unmixing is a challenging, ill-posed inverse problem because of model inaccuracies, observation noise, environmental conditions, endmember variability, and data set size. Researchers have devised and investigated many models searching for robust, stable, tractable, and accurate unmixing algorithms. This paper presents an overview of unmixing methods from the time of Keshava and Mustard's unmixing tutorial [1] to the present. Mixing models are first discussed. Signal-subspace, geometrical, statistical, sparsity-based, and spatial-contextual unmixing algorithms are described. Mathematical problems and potential solutions are described. Algorithm characteristics are illustrated experimentally.

Preparation, properties and applications of polysaccharide nanocrystals in advanced functional nanomaterials: a review

Abstract: Intensive exploration and research in the past few decades on polysaccharide nanocrystals, the highly crystalline nanoscale materials derived from natural resources, mainly focused originally on their use as a reinforcing nanophase in nanocomposites. However, these investigations have led to the emergence of more diverse potential applications exploiting the functionality of these nanomaterials. Based on the construction strategies of functional nanomaterials, this article critically and comprehensively reviews the emerging polysaccharide nanocrystal-based functional nanomaterials with special applications, such as biomedical materials, biomimetic optical nanomaterials, bio-inspired mechanically adaptive nanomaterials, permselective nanostructured membranes, template for synthesizing inorganic nanoparticles, polymer electrolytes, emulsion nano-stabilizer and decontamination of organic pollutants. We focus on the preparation, unique properties and performances of the different polysaccharide nanocrystal materials. At the same time, the advantages, physicochemical properties and chemical modifications of polysaccharide nanocrystals are also comparatively discussed in view of materials development. Finally, the perspective and current challenges of polysaccharide nanocrystals in future functional nanomaterials are outlined.

Effects of hydrolysis conditions on the morphology, crystallinity, and thermal stability of cellulose nanocrystals extracted from kenaf bast fibers

Abstract: Cellulose nanocrystals (CNC) were first isolated from kenaf bast fibers and then characterized. The raw fibers were subjected to alkali treatment and bleaching treatment and subsequent hydrolysis with sulfuric acid. The influence of the reaction time on the morphology, crystallinity, and thermal stability of CNC was investigated. Fourier transform infrared spectroscopy showed that lignin and hemicellulose were almost entirely removed during the alkali and bleaching treatments. The morphology and dimensions of the fibers and acid-released CNC were characterized by field emission scanning electron microscopy and transmission electron microscopy. X-Ray diffraction analysis revealed that the crystallinity first increases upon hydrolysis and then decreases after long durations of hydrolysis. The optimal extraction time was found to be around 40 min during hydrolysis at 45 °C with 65% sulfuric acid. The thermal stability was found to decrease as the hydrolysis time increased. The electrophoretic mobility of the CNC suspensions was measured using the zeta potential, and it ranged from −8.7 to −95.3 mV.

Polyelectrolyte Multilayer Assemblies on Materials Surfaces: From Cell Adhesion to Tissue Engineering

Abstract: Controlling the bulk and surface properties of materials is a real challenge for bioengineers working in the fields of biomaterials, tissue engineering and biophysics. The layer-by-layer (LbL) deposition method, introduced 20 years ago, consists in the alternate adsorption of polyelectrolytes that self-organize on the material’s surface, leading to the formation of polyelectrolyte multilayer (PEM) films.(1) Because of its simplicity and versatility, the procedure has led to considerable developments of biological applications within the past 5 years. In this review, we focus our attention on the design of PEM films as surface coatings for applications in the field of biomaterials, in tissue engineering, and for fundamental biophysical studies. This will include a survey of the chemical and physical properties that have emerged as being key points in relation to biological processes. The numerous possibilities for adjusting the chemical, physical, and mechanical properties of PEM films have fostered studie...

TEMPO-Oxidized Nanocellulose Participating as Crosslinking Aid for Alginate-Based Sponges

Abstract: Crosslinked polysaccharide sponges have been prepared by freeze-drying of amorphous alginate-oxidized nanocellulose in the presence of a Ca(2+) ionic crosslinking agent. The new carboxyl groups on the surface of nanocellulose induced by the chemical oxidization provided the possibility of participating in the construction of an alginate-based sponge's structure and played a fundamental role in the structural and mechanical stability of ensuing sponges. Furthermore, enhanced mechanical strength induced by oxidized cellulose nanocrystals and the formation of a semi-interpenetrating polymer network from oxidized microfibrillated cellulose were reported. Together with the facile and ionic crosslinking process, the ultrahigh porosity, promising water absorption and retention, as well as the improved compression strength of the crosslinked sponges should significantly extend the use of this soft material in diverse practical applications.

Linear Versus Nonlinear PCA for the Classification of Hyperspectral Data Based on the Extended Morphological Profiles

Abstract: Morphological profiles (MPs) have been proposed in recent literature as aiding tools to achieve better results for classification of remotely sensed data. MPs are in general built using features containing most of the information content of the data, such as the components derived from principal component analysis (PCA). Recently, nonlinear PCA (NLPCA), performed by autoassociative neural network, has emerged as a good unsupervised technique to fit the information content of hyperspectral data into few components. The aim of this letter is to investigate the classification accuracies obtained using extended MPs built from the features of NPCA. A comparison of the two approaches has been validated on two different data sets having different spatial and spectral resolutions/coverages, over the same ground truth, and also using two different classification algorithms. The results show that NLPCA permits one to obtain better classification accuracies than using linear PCA.

Grain-scale experimental investigation of localised deformation in sand: a discrete particle tracking approach

Abstract: Recent developments in the application of x-ray micro-tomography in laboratory geomechanics have allowed all the individual grains of sand in a test sample to be seen and identified uniquely in 3D. Combining such imaging capabilities with experiments carried out “in situ” within an imaging set-up has led to the possibility of directly observing the mechanisms of deformation as they happen. The challenge has thus become extracting pertinent, quantified information from these rich time-lapse 3D images to elucidate the mechanics at play. This paper presents a new approach (ID-Track) for the quantification of individual grain kinematics (displacements and rotations) of large quantities of sand grains (tens of thousands) in a test sample undergoing loading. With ID-Track, grains are tracked between images based on some geometrical feature(s) that allow their unique identification and matching between images. This differs from Digital Image Correlation (DIC), which makes measurements by recognising patterns between images. Since ID-Track does not use the image of a grain for tracking, it is significantly faster than DIC. The technique is detailed in the paper, and is shown to be fast and simple, giving good measurements of displacements, but suffering in the measurement of rotations when compared with Discrete DIC. Subsequently, results are presented from successful applications of ID-track to triaxial tests on two quite different sands: the angular Hostun sand and the rounded Caicos Ooids. This reveals details on the performance of the technique for different grain shapes and insight into the differences in the grain-scale mechanisms occurring in these two sands as they exhibit strain localisation under triaxial loading.

Robust climate policies under uncertainty: a comparison of robust decision making and info-gap methods.

Abstract: This study compares two widely used approaches for robustness analysis of decision problems: the info-gap method originally developed by Ben-Haim and the robust decision making (RDM) approach originally developed by Lempert, Popper, and Bankes. The study uses each approach to evaluate alternative paths for climate-altering greenhouse gas emissions given the potential for nonlinear threshold responses in the climate system, significant uncertainty about such a threshold response and a variety of other key parameters, as well as the ability to learn about any threshold responses over time. Info-gap and RDM share many similarities. Both represent uncertainty as sets of multiple plausible futures, and both seek to identify robust strategies whose performance is insensitive to uncertainties. Yet they also exhibit important differences, as they arrange their analyses in different orders, treat losses and gains in different ways, and take different approaches to imprecise probabilistic information. The study finds that the two approaches reach similar but not identical policy recommendations and that their differing attributes raise important questions about their appropriate roles in decision support applications. The comparison not only improves understanding of these specific methods, it also suggests some broader insights into robustness approaches and a framework for comparing them.

Simple Method for the Melt Extrusion of a Cellulose Nanocrystal Reinforced Hydrophobic Polymer

Abstract: The rheological properties of a dispersion of cellulose nanocrystals (CNCs) in an aqueous solution of polyoxyethylene (PEO) have been investigated. A peculiar behavior is reported. Upon adding CNC, the viscosity of the suspension first decreases and then increases. Adsorption of PEO chains on the surface of the nanoparticles has been suspected. Freeze-drying of this PEO-adsorbed CNC dispersion was performed, and the ensuing lyophilizate was extruded with low density polyethylene. Compared to neat CNC-based nanocomposites, both improved dispersibility and thermal stability were observed. This simple and physical method constitutes an approach of choice for the melt processing of CNC-based nanocomposites with a hydrophobic polymeric matrix applicable at the industrial scale.

Renewable fibers and bio-based materials for packaging applications - A review of recent developments

Abstract: This review describes the state-of-the-art of material derived from the forest sector with respect to its potential for use in the packaging industry. Some innovative approaches are highlighted. The aim is to cover recent developments and key challenges for successful introduction of renewable materials in the packaging market. The covered subjects are renewable fibers and bio-based polymers for use in bioplastics or as coatings for paper-based packaging materials. Current market sizes and forecasts are also presented. Competitive mechanical, thermal, and barrier properties along with material availability and ease of processing are identified as fundamental issues for sustainable utilization of renewable materials.

Metallic additive manufacturing: state-of-the-art review and prospects

Abstract: Additive manufacturing processes, used for more than 25 years, are no longer confined to rapid prototyping applications. Mostly used nowadays in niche markets (medical applications, aerospace...) to manufacture metallic parts, they should provide improvements in terms of time-to-market, ecological impact and design compared to traditional industrial processes. Current metallic additive manufacturing studied in this paper are Selective Laser Sintering, Direct Metal Laser Sintering, Selective Laser Melting, Electron Beam Melting and Direct Metal Deposition. The performances of these processes are investigated through criteria derived from the time cost quality triangle and some prospects concerning these processes are given.

Measurement of charm production at central rapidity in proton-proton collisions at root s=7 TeV

Abstract: The p(t)-differential inclusive production cross sections of the prompt charmed mesons D-0, D+, and D*(+) in the rapidity range vertical bar y vertical bar K-pi(+), D+ -> K-pi(+)pi(+), D*(+) -> D-0 pi(+), and their charge conjugates, about 8,400 D-0, 2,900 D+, and 2,600 D*(+) mesons with 1 < p(t) < 24 GeV/c were counted, after selection cuts, in a data sample of 3.14 x 10(8) events collected with a minimum-bias trigger (integrated luminosity L-int = 5 nb(-1)). The results are described within uncertainties by predictions based on perturbative QCD.

A photoferroelectric material is more than the sum of its parts.

Abstract: To the Editor — The defining property of ferroelectrics is a reversible spontaneous electric polarization whose magnitude and direction can be sensitively tuned by varying temperature, pressure, electric field, strain or chemical composition1. What makes ferroelectrics interesting is the coupling of the electric polarization to other properties of the material. For instance, ferroelectric– ferroelastic materials present a coupling between electric polarization and mechanical deformation, which can lead to a remarkable piezoelectric response with numerous applications for actuators and sensors. Another widely pursued materials class is that of ferroelectric–ferroelastic–magnetic materials, termed multiferroics, which present interesting coupling phenomena with high potential for electronic and spintronic applications. In this Correspondence we focus on another fascinating property of ferroelectric materials that is due to their interaction with light. Materials that show both photosensitive and ferroelectric properties define a field that was termed photoferroelectrics a long time ago2, but which has been largely overlooked and is now deserving of renewed attention. The present revival of photoferroelectrics focuses on ferroelectric photovoltaic materials. Although photovoltaic effects in ferroelectrics have been known for 50 years2, they have remained an academic curiosity, mainly because of their reported low powerconversion efficiency. This view has recently changed following reports that the low conversion efficiencies can be overcome by large, above-bandgap photovoltages3, the possibility of tip-enhanced photovoltaic effects at the nanoscale4 or the fundamental role of domain walls, which present a much larger efficiency than the bulk3,5. All this indicates that ferroelectric photovoltaic materials potentially have a bright future in solar-energy generation. But how are we to separate fact from fiction, and hype from hope in discussing their potential? One of the selling points for ferroelectric photovoltaics is the extremely large, abovebandgap open-circuit voltage, which points to a fundamentally different, polarizationrelated charge-separation mechanism compared with classical semiconductor solar cells. In addition, the presence of ferroelectric domain boundaries further increases the photovoltage significantly because of the electrical fields existing within the narrow domain walls3,5. Therefore, advances in this field could arise from investigating materials with engineered domain boundaries6, materials with an intrinsically complex landscape of the local electric polarization such as relaxor ferroelectrics, or complex oxides with an engineered bandgap. Yet, how do photovoltaic ferroelectrics compare with other solar-cell technologies? To achieve a high power output a solar cell needs to show high photovoltage, high photocurrent, and of course high quantum efficiency. Unfortunately, in ferroelectric photovoltaics, quantum efficiencies remain at best on the order of 1% and bulk conductivities are also low. Similarly, the photovoltage arising from an individual domain wall, which is essentially an interface limited in width, is modest; high voltages will only originate cumulatively from a large series of domains. Significant efforts will be needed before ferroelectrics could reach similar performances to those of semiconductor solar cells. This may seem a daunting task, but we should not forget examples such as that of organic solar cells, which have increased their conversion efficiency from 1% to 10% in the past ten years. But, in our view, such a focus on only photovoltaics is too restrictive, and we believe that more attention should be paid to other photoinduced effects in ferroelectrics. It is important to realize that photoinduced effects can, and usually will, be coupled to and with other functional properties. A good example of this is photostriction — the deformation induced by irradiation of light — which can be described in ferroelectrics as the combination of photovoltaic and piezoelectric effects. The photovoltaic effect creates an internal electric field, which in turn leads to significant deformation by the inverse piezoelectric effect. Light-induced size changes as recently reported7 for BiFeO3 single crystals can thus be understood from their ferroelectric properties and photovoltaic effects. Highly strained BiFeO3 thin films8 with enhanced piezoelectricity are likely to show even stronger photostrictive effects. BiFeO3 is also antiferromagnetic and it has been shown that its magnetic properties can be modified by both electric field and strain deformation, which presents the opportunity for also tuning the magnetic properties by photovoltage and photostriction. This example illustrates the general principle and interest of having interactions between photoelectric effects and other (multi-)ferroic or correlated-electron effects such as charge order, metal–insulator phase transitions, electronic and magnetic phase separations and so on. The breadth of both possible photo-induced effects and correlated-electron physics in ferroelectrics is enormous, leaving us with a wide field of possible investigations into interesting physics and possible new applications, with the potential for remote (optical) control. Finally, most of the recent work in the field focuses on the multiferroic perovskite BiFeO3, which is probably only the tip of the iceberg in terms of other interesting and useful materials. Investigations of photo-induced effects in multiferroics where magnetism causes ferroelectricity offer new degrees of freedom and coupling mechanisms, also on the ultrafast timescale. Generally speaking, the search for new interesting systems, be it in bulk form, thin films, clever nanostructures or domain-engineered materials, is crucial for a deeper understanding of photo-induced effects in ferroelectrics or more generally polar materials. Perhaps, beyond any hype on photovoltaic materials, it is rather on the broader family of photoferroelectrics that we should place most of our hope. ❐

Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching

Abstract: A good feature descriptor is desired to be discriminative, robust, and computationally inexpensive in both terms of time and storage requirement. In the domain of face recognition, these properties allow the system to quickly deliver high recognition results to the end user. Motivated by the recent feature descriptor called Patterns of Oriented Edge Magnitudes (POEM), which balances the three concerns, this paper aims at enhancing its performance with respect to all these criteria. To this end, we first optimize the parameters of POEM and then apply the whitened principal-component-analysis dimensionality reduction technique to get a more compact, robust, and discriminative descriptor. For face recognition, the efficiency of our algorithm is proved by strong results obtained on both constrained (Face Recognition Technology, FERET) and unconstrained (Labeled Faces in the Wild, LFW) data sets in addition with the low complexity. Impressively, our algorithm is about 30 times faster than those based on Gabor filters. Furthermore, by proposing an additional technique that makes our descriptor robust to rotation, we validate its efficiency for the task of image matching.

High-Capacity Chipless RFID Tag Insensitive to the Polarization

Abstract: Designing a reader for chipless RFID is a hard task since both the polarization and operating frequency agility have to be implemented. The new tag design proposed in this paper is polarization independent, making the design of the reader easier since only linear polarization is needed to detect the tag. The proposed chipless tag is based on multiple circular ring patch resonators. The coding capacity of this tag reaches 19 bits within a compact surface of cm . Further, the frequency band is within 3.1 to 10.6 GHz to be compliant with FCC and ECC regulations for UWB. This new design is experimentally validated in the frequency domain using bi-static measurement set-up. Both amplitude and group delay responses of the tag are investigated and carried out.

Quantum effect on thermally activated glide of dislocations.

Abstract: Crystal plasticity involves the motion of dislocations under stress. So far, atomistic simulations of this process have predicted Peierls stresses, the stress needed to overcome the crystal resistance in the absence of thermal fluctuations, of more than twice the experimental values, a discrepancy best-known in body-centred cubic crystals. Here we show that a large contribution arises from the crystal zero-point vibrations, which ease dislocation motion below typically half the Debye temperature. Using Wigner's quantum transition state theory in atomistic models of crystals, we found a large decrease of the kink-pair formation enthalpy due to the quantization of the crystal vibrational modes. Consequently, the flow stress predicted by Orowan's law is strongly reduced when compared with its classical approximation and in much closer agreement with experiments. This work advocates that quantum mechanics should be accounted for in simulations of materials and not only at very low temperatures or in light-atom systems.

Paper‐Based, Capacitive Touch Pads

Abstract: This paper describes low-cost, thin, and pliable touch pads constructed from a commercially available, metallized paper commonly used as packaging material for beverages and book covers. The associated electronics with the individual keys in the touch pads detect changes in capacitance or contact with fi ngers by using the effective capacitance of the human body and the electrical impedance across the tip of a fi nger. To create the individual keys, a laser cutter ablates lines through the fi lm of evaporated aluminum on the metallized paper to pattern distinct, conductive regions. This work includes the experimental characterization of two types of capacitive buttons and illustrates their use with applications in a keypad with 10 individually addressable keys , a keypad that conforms to a cube, and a keypad on an alarmed cardboard box. With their easily arrayed keys, environmentally benign material, and low cost, the touch pads have the potential to contribute to future developments in disposable, fl exible electronics, active, “smart” packaging, user interfaces for biomedical instrumentation, biomedical devices for the developing world, applications for monitoring animal and plant health, food and water quality, and disposable games (e.g., providers of content for consumer products). There is no simple method of integrating buttons with structures on single-use or throw-away devices. Current commercial buttons are not thin enough, inexpensive enough, or easy enough to array seamlessly with paper-based products for disposable applications. The touch pads in this work are thin ( ∼ 60 μ m in some cases), simple to array, fabricated by etching patterns into metallized paper, low-cost ( < $0.25 m − 2 for the thin grade of metallized paper we use in this work), and lightweight

All about Eve: execute-verify replication for multi-core servers

Abstract: This paper presents Eve, a new Execute-Verify architecture that allows state machine replication to scale to multi-core servers. Eve departs from the traditional agree-execute architecture of state machine replication: replicas first execute groups of requests concurrently and then verify that they can reach agreement on a state and output produced by a correct replica; if they can not, they roll back and execute the requests sequentially. Eve minimizes divergence using application-specific criteria to organize requests into groups of requests that are unlikely to interfere. Our evaluation suggests that Eve's unique ability to combine execution independence with nondetermistic interleaving of requests enables high-performance replication for multi-core servers while tolerating a wide range of faults, including elusive concurrency bugs.

A Fully Printable Chipless RFID Tag With Detuning Correction Technique

Abstract: This article presents a new chipless RFID tag operating in the frequency span 2 to 4 GHz. In particular the tag does not require any ground plane and it is made of 20 scatterers giving 20 b as coding capacity, for a compact size of 70 25 , compatible with a credit-card format. Its fabrication process is potentially very cheap because it needs only one conductive layer, so that it can be fully printed directly on the product. To overcome the detuning effect inherent to a single layer tag and make this design robust to the environment versatility, a simple compensation technique is introduced and experimented for the first time. Measurements have been performed frequency domain, using amplitude and the group delay response. The exploitation of group delay appears to be very reliable and promising way to retrieve the coded information.

Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009–2010 Data Fusion Contest

Abstract: The 2009-2010 Data Fusion Contest organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society was focused on the detection of flooded areas using multi-temporal and multi-modal images. Both high spatial resolution optical and synthetic aperture radar data were provided. The goal was not only to identify the best algorithms (in terms of accuracy), but also to investigate the further improvement derived from decision fusion. This paper presents the four awarded algorithms and the conclusions of the contest, investigating both supervised and unsupervised methods and the use of multi-modal data for flood detection. Interestingly, a simple unsupervised change detection method provided similar accuracy as supervised approaches, and a digital elevation model-based predictive method yielded a comparable projected change detection map without using post-event data.

Fast and automatic processing of multi-level events in nanopore translocation experiments

Abstract: We have developed a method to analyze in detail, translocation events providing a novel and flexible tool for data analysis of nanopore experiments. Our program, called OpenNanopore, is based on the cumulative sums algorithm (CUSUM algorithm). This algorithm is an abrupt change detection algorithm that provides fitting of current blockages, allowing the user to easily identify the different levels in each event. Our method detects events using adaptive thresholds that adapt to low-frequency variations in the baseline. After event identification, our method uses the CUSUM algorithm to fit the levels inside every event and automatically extracts their time and amplitude information. This facilitates the statistical analysis of an event population with a given number of levels. The obtained information improves the interpretation of interactions between the molecule and nanopore. Since our program does not require any prior information about the analyzed molecules, novel molecule-nanopore interactions can be characterized. In addition our program is very fast and stable. With the progress in fabrication and control of the translocation speed, in the near future, our program could be useful in identification of the different bases of DNA.

Penetration Depth of Transverse Spin Current in Ultrathin Ferromagnets

Abstract: We report a novel depth dependence for the penetration of spin current into ultrathin ferromagnets. Ferromagnetic resonance measurements show that transverse spin current pumped into three structurally distinct ferromagnets is attenuated, on reflection, by an amount proportional to the ferromagnetic layer thickness, saturating abruptly at 1.2 ± 0.1 nm. The observed power-law decay, differing significantly from the (exponential) characteristic-length dependence for longitudinal spin current, confirms models of spin momentum transfer which have been inaccessible to experiment.

Design of Compact and Auto-Compensated Single-Layer Chipless RFID Tag

Abstract: This paper presents a new radio frequency identification (RFID) chipless tag that is highly compact and potentially low-cost. This tag has a lot of advantages, such as being fully printable on products since no ground plane is needed for fabrication. The actual issue of the chipless tag family having a single layer, that is, their detuning effect, is compensated for the first time by a correction technique based on the use of a sensing resonator. The design is based on multiple λ/4 coplanar strip-line resonators where resonant frequencies can be shifted by setting an additional short circuit at particular locations. An accurate model is proposed to easily link the footprint of the structure to the resonant frequency. Considering a frequency resolution of 50 MHz for the reading system and a tag dimension of 15 × 20 mm2, 9 b can be encoded in the frequency band 2.0-5.5 GHz. Several experimental results validate the proposed design as well as its implementation in a realistic application and environment.