Intrinsic Decomposition Research Articles

Haptic Display of Image Based on Multi-Feature Extraction

Image feature extraction is one of the key technologies of image haptic display. In this paper, multi-feature extraction method of the object in image is proposed to improve image-based haptic perception. The multi-feature extraction includes contour shape extraction, pattern extraction and detail texture extraction. Firstly, we use an intrinsic decomposition method to decompose an image into shading image and reflectance image. The reflectance image describes nonillumination affected color patterns spread on the surface. Then, the shading image is utilized in contour shape and detail texture extraction. Contour shape extraction is based on partial differential equation (PDE), to reconstruct three-dimensional (3D) surface model in virtual environments. Detailed texture extraction is based on fractional differential method simultaneously. Finally, the various features extracted above are haptic rendered by different methods. The experimental results show the effectiveness and potentiality of the proposed method for improving the ability of haptic perception and recognition of human in virtual environments.

Live intrinsic video

Intrinsic video decomposition refers to the fundamentally ambiguous task of separating a video stream into its constituent layers, in particular reflectance and shading layers. Such a decomposition is the basis for a variety of video manipulation applications, such as realistic recoloring or retexturing of objects. We present a novel variational approach to tackle this underconstrained inverse problem at real-time frame rates, which enables on-line processing of live video footage. The problem of finding the intrinsic decomposition is formulated as a mixed variational ℓ 2 - ℓ p -optimization problem based on an objective function that is specifically tailored for fast optimization. To this end, we propose a novel combination of sophisticated local spatial and global spatio-temporal priors resulting in temporally coherent decompositions at real-time frame rates without the need for explicit correspondence search. We tackle the resulting high-dimensional, non-convex optimization problem via a novel data-parallel iteratively reweighted least squares solver that runs on commodity graphics hardware. Real-time performance is obtained by combining a local-global solution strategy with hierarchical coarse-to-fine optimization. Compelling real-time augmented reality applications, such as recoloring, material editing and retexturing, are demonstrated in a live setup. Our qualitative and quantitative evaluation shows that we obtain high-quality real-time decompositions even for challenging sequences. Our method is able to outperform state-of-the-art approaches in terms of runtime and result quality -- even without user guidance such as scribbles.

Vestas V90-3MW Wind Turbine Gearbox Health Assessment Using a Vibration-Based Condition Monitoring System

Reliable monitoring for the early fault diagnosis of gearbox faults is of great concern for the wind industry. This paper presents a novel approach for health condition monitoring (CM) and fault diagnosis in wind turbine gearboxes using vibration analysis. This methodology is based on a machine learning algorithm that generates a baseline for the identification of deviations from the normal operation conditions of the turbine and the intrinsic characteristic-scale decomposition (ICD) method for fault type recognition. Outliers picked up during the baseline stage are decomposed by the ICD method to obtain the product components which reveal the fault information. The new methodology proposed for gear and bearing defect identification was validated by laboratory and field trials, comparing well with the methods reviewed in the literature.

Interface degradation of perovskite solar cells and its modification using an annealing-free TiO2 NPs layer

Interface is one of the most important factors to influence the device stability, which directly determines the commercialization of perovskite solar cells (PSCs). The research disclosed the degradation process and mechanism of planar heterojunction (PHJ) PSCs with a structure of ITO/PEDOT:PSS/CH3NH3PbI3/PCBM/Al using in-situ experiments. The degradation of PHJ-PSCs is mainly attributed to the interface decay of perovskite/cathode. Large amount of bubbles formed quickly at the interface and grew up as PHJ-PSCs exposed to air. The cathode electrode easily peeled off from the devices that led to lose the efficiency completely after only 1 h exposure to air. On the other hand, the degradation driven by intrinsic decomposition of perovskite itself under atmosphere (humidity ∼ 45 RH%) was not obvious and the power conversion efficiency (PCE) could retain almost the same when only the perovskite layer was exposed to air for 200 h. Furthermore, annealing-free TiO2 nanocrystalline particles (TiO2 NPs) as an interface modification layer was inserted into PHJ-PSCs and dramatically improved the stability, of which the PCEs retained over 75% of its initial values after exposure to air for 200 h. The results provide important information to understand the degradation of PSCs and the improvement of the stability, which may potentially accelerate the development and commercialization of PSCs.

Multiview Intrinsic Images of Outdoors Scenes with an Application to Relighting

We introduce a method to compute intrinsic images for a multiview set of outdoor photos with cast shadows, taken under the same lighting. We use an automatic 3D reconstruction from these photos and the sun direction as input and decompose each image into reflectance and shading layers, despite the inaccuracies and missing data of the 3D model. Our approach is based on two key ideas. First, we progressively improve the accuracy of the parameters of our image formation model by performing iterative estimation and combining 3D lighting simulation with 2D image optimization methods. Second, we use the image formation model to express reflectance as a function of discrete visibility values for shadow and light, which allows to introduce a robust visibility classifier for pairs of points in a scene. This classifier is used for shadow labeling, allowing to compute high-quality reflectance and shading layers. Our multiview intrinsic decomposition is of sufficient quality to allow relighting of the input images. We create shadow-caster geometry which preserves shadow silhouettes and, using the intrinsic layers, we can perform multiview relighting with moving cast shadows. We present results on several multiview datasets, and show how it is now possible to perform image-based rendering with changing illumination conditions.

Compositionally-dependent structural variations in glassy chalcogenides: The case of binary As[sbnd]Se system

Structural peculiarities of glass formation in binary AsSe system occur to be compositionally dependent demonstrating anomalous oscillating tendencies toward intrinsic decomposition around some points within glass-forming region covering the range of Se-rich glasses. By employing ab-initio quantum chemical modeling with RHF/6-311G∗ basis set, known also as CINCA (the cation-interlinking network cluster approach), the geometrically-optimized configurations and mean forming energies were computed for different atomic configurations of As2Sem clusters (m=3–8). In respect to these calculations, the most essential instability is expected in AsSe glasses near average atomic coordination of Z=2.25, where both local chemical and global phase-separation decompositions are favorable, while in a vicinity of Z=2.33, these glasses demonstrate only ability to local decomposition on As- and Se-rich network-forming structural fragments. These results explain well known compositional changes in physical properties of AsSe glasses caused by technology variations and prolonged physical aging.

Comparison of real-time phase-reconstruction methods in temporal speckle-pattern interferometry.

Three real-time methods for object-phase recovery are implemented and compared in temporal speckle-pattern interferometry. Empirical mode and intrinsic time-scale decompositions are used and compared as real-time nonstationary and nonlinear filtering techniques for the extraction of the spatio-temporal evolution of the object phase. The proposed real-time methods avoid the application of the Hilbert transform and improve the accuracy of the measurement by filtering under-modulated pixels using Delaunay triangulation. The performance of the proposed methods is evaluated by comparing phase-recovery accuracy and computation time by means of numerical simulations and experimental data obtained from common and simultaneous π/2 phase-shifting heterodyne interferometry.

Cu-Oxide-Assisted Selective Pyrolysis of Organic Nanolayer on Patterned SiO2-Cu Surface.

Organic nanolayers attract much attention for the isolation and adhesion promotion of the Cu line and insulator in Cu interconnection of microelectronic devices. This paper proposes a strategy for selective formation of adhesion nanolayer on the insulator surface with etching it on Cu surface by Cu-oxide-assisted pyrolysis. After deposition of a uniform polyelectrolyte layer on both SiO2 and Cu surfaces, heat treatment at 350 °C in ambient nitrogen was applied. Then, a larger thickness decrease was observed on the polyelectrolyte layer on Cu when compared to that on SiO2. According to the TDS and XPS analysis, the polyelectrolyte layer was relatively stable on SiO2 up to the intrinsic decomposition temperature of the material, but on the Cu surface it decomposed to volatile small molecules at a lower temperature due to Cu2O-assisted oxidization. This substrate dependent selective pyrolysis was examined for 100 nm width Cu lines and SiO2 spaces, and then a patterned polyelectrolyte layer on the SiO2 surface was obtained with a single nanometer scale edge resolution.

Size-Dependent Reaction Pathways of Low-Temperature CO Oxidation on Au/CeO2 Catalysts

Via a comprehensive time-resolved operando-DRIFTS study of the evolutions of various surface species on Au/CeO2 catalysts with Au particle sizes ranging from 1.7 ± 0.6 to 3.7 ± 0.9 nm during CO oxidation at room temperature, we have successfully demonstrated size-dependent reaction pathways and their contributions to the catalytic activity. The types and concentrations of chemisorbed CO(a), carbonate, bicarbonate, and formate species formed upon CO adsorption, their intrinsic oxidation/decomposition reactivity, and roles in CO oxidation vary with the size of the supported Au particles. The intrinsic oxidation reactivity of CO(a) does not depend much on the Au particle size, whereas the intrinsic decomposition reactivity of carbonate, bicarbonate, and formate species strongly depend on the Au particle size and are facilitated over Au/CeO2 catalysts with large Au particles. These results greatly advance the fundamental understanding of the size effect of Au/CeO2 catalysts for low-temperature CO oxidation.

Intrinsic video and applications

We present a method to decompose a video into its intrinsic components of reflectance and shading, plus a number of related example applications in video editing such as segmentation, stylization, material editing, recolorization and color transfer. Intrinsic decomposition is an ill-posed problem, which becomes even more challenging in the case of video due to the need for temporal coherence and the potentially large memory requirements of a global approach. Additionally, user interaction should be kept to a minimum in order to ensure efficiency. We propose a probabilistic approach, formulating a Bayesian Maximum a Posteriori problem to drive the propagation of clustered reflectance values from the first frame, and defining additional constraints as priors on the reflectance and shading. We explicitly leverage temporal information in the video by building a causal-anticausal, coarse-to-fine iterative scheme, and by relying on optical flow information. We impose no restrictions on the input video, and show examples representing a varied range of difficult cases. Our method is the first one designed explicitly for video; moreover, it naturally ensures temporal consistency, and compares favorably against the state of the art in this regard.

Color face image decomposition under complex lighting conditions

In this paper, we proposed a method to recover the reflectance and shading images of face images, such as portraits, captured under complex lighting conditions. Under such lighting conditions, traditional intrinsic image decomposition can hardly be applied on face images especially with cast shadows. Inspired by the fact that the face symmetry is an inherent property of reflectance image for human face, face symmetry is firstly exploited as a constraint into traditional intrinsic decomposition framework to obtain the initial reflectance image. To remove the artifacts of the initial reflectance image caused by cast shadows, we use the skin color model to refine the reflectance image. Experiments show that our method is effective for face images under complex lighting conditions.

Reactions in acetone, perfluoroacetone and acetylene triggered by low energy (0–15 eV) electrons

Dissociative electron attachment (DEA) to acetone (CH3COCH3), perfluoroacetone (CF3COCF3) and acetylene (HCCH) is studied in the gas phase under collision-free conditions. The results are compared with those recently obtained from a study on electron attachment to homogeneous clusters of acetone and perfluoroacetone (Martin et al., 2009). Gas phase acetone and perfluoroacetone show a series of DEA resonances extending over a wide energy range and leading to various fragment ions. Perfluoroacetone additionally shows a strong signal due to the formation of the parent anion close to zero energy. In strong contrast to that, the cluster analogues exhibit only a low energy resonance while fragmentation is strongly suppressed. Such behaviour mirrors the intrinsic decomposition mechanisms which proceeds rather via predissociation involving a loose transition state than by direct dissociation along repulsive potential energy surfaces. This picture is confirmed by a time-of-flight (TOF) analysis of the fragment ions from the isolated compounds revealing that all fragment ions are formed with only low translational energy. DEA to acetylene leads to C2H− and C2− arising from different resonance regions, with C2H− as the prominent signal at 3eV resulting from predissociation of the π* resonance.

Study on Application of Fast Intrinsic Mode Decomposition to Short-Term Load Forecasting

The forecasting technique is one of the key factors for load forecasting. According to analysis, the Fast Intrinsic Mode Decomposition (FIMD) method is applied to short-term load forecasting in this paper. The specific implementation process of the proposed short-term load forecasting method is in the following. The selected load sample data are decomposed into a number of stationary Intrinsic Mode Functions (IMFs) with respective single mode by the FIMD method firstly. Then, each obtained load component with different frequency band is forecasted according to the Gene Expression Programming (GEP) method by time-sharing. The final forecasting models are obtained by rebuilding the forecasting model of each IMF. Lots of virtual forecasting tests are done, and it proves that the proposed load forecasting method based on the FIMD method in this paper is more accurate than the method based on Empirical Mode Decomposition (EMD).

Spectral Intrinsic Decomposition Method for Adaptive Signal Representation

We propose a new method called spectral intrinsic decomposition (SID) for the representation of nonlinear signals. This approach is based on the spectral decomposition of partial differential equation- (PDE-) based operators which interpolate the characteristic points of a signal. The SID’s components which are the eigenvectors of these PDE interpolation operators underlie the new signal decomposition-reconstruction method. The usefulness and the efficiency of this method is illustrated, in signal reconstruction or denoising aim, in some examples using artificial and pathological signals.

Coherent intrinsic images from photo collections

An intrinsic image is a decomposition of a photo into an illumination layer and a reflectance layer, which enables powerful editing such as the alteration of an object's material independently of its illumination. However, decomposing a single photo is highly under-constrained and existing methods require user assistance or handle only simple scenes. In this paper, we compute intrinsic decompositions using several images of the same scene under different viewpoints and lighting conditions. We use multi-view stereo to automatically reconstruct 3D points and normals from which we derive relationships between reflectance values at different locations, across multiple views and consequently different lighting conditions. We use robust estimation to reliably identify reflectance ratios between pairs of points. From these, we infer constraints for our optimization and enforce a coherent solution across multiple views and illuminations. Our results demonstrate that this constrained optimization yields high-quality and coherent intrinsic decompositions of complex scenes. We illustrate how these decompositions can be used for image-based illumination transfer and transitions between views with consistent lighting.

Old and stable soil organic matter is not necessarily chemically recalcitrant: implications for modeling concepts and temperature sensitivity

AbstractSoil carbon turnover models generally divide soil carbon into pools with varying intrinsic decomposition rates. Although these decomposition rates are modified by factors such as temperature, texture, and moisture, they are rationalized by assuming chemical structure is a primary controller of decomposition. In the current work, we use near edge X‐ray absorption fine structure (NEXAFS) spectroscopy in combination with differential scanning calorimetry (DSC) and alkaline cupric oxide (CuO) oxidation to explore this assumption. Specifically, we examined material from the 2.3–2.6 kg L−1 density fraction of three soils of different type (Oxisol, Alfisol, Inceptisol). The density fraction with the youngest 14C age (Oxisol, 107 years) showed the highest relative abundance of aromatic groups and the lowest O‐alkyl C/aromatic C ratio as determined by NEXAFS. Conversely, the fraction with the oldest C (Inceptisol, 680 years) had the lowest relative abundance of aromatic groups and highest O‐alkyl C/aromatic C ratio. This sample also had the highest proportion of thermally labile materials as measured by DSC, and the highest ratio of substituted fatty acids to lignin phenols as indicated by CuO oxidation. Therefore, the organic matter of the Inceptisol sample, with a 14C age associated with ‘passive’ pools of carbon (680 years), had the largest proportion of easily metabolizable organic molecules with low thermodynamic stability, whereas the organic matter of the much younger Oxisol sample (107 years) had the highest proportion of supposedly stable organic structures considered more difficult to metabolize. Our results demonstrate that C age is not necessarily related to molecular structure or thermodynamic stability, and we suggest that soil carbon models would benefit from viewing turnover rate as codetermined by the interaction between substrates, microbial actors, and abiotic driving variables. Furthermore, assuming that old carbon is composed of complex or ‘recalcitrant’ compounds will erroneously attribute a greater temperature sensitivity to those materials than they may actually possess.

Thermal Decomposition Modes for Four‐Coordinate Ruthenium Phosphonium Alkylidene Olefin Metathesis Catalysts

The four-coordinate ruthenium phosphonium alkylidenes 1-Cy and 1-iPr, differing in the substituent on the phosphorus center, were observed to decompose thermally in the presence of 1,1-dichloroethylene to produce [H(3)CPR(3)][Cl]. The major ruthenium-containing product was a trichloro-bridged ruthenium dimer that incorporates the elements of the 1,1-dichloroethylene as a dichlorocarbene ligand and a styrenic vinyl group on the supporting NHC ligand. Spectroscopic, kinetic, and deuterium-labeling experiments probed the mechanism of this process, which involves a rate-limiting C-H activation of an NHC mesityl ortho methyl group. These studies provide insight into intrinsic decomposition processes of active Grubbs type olefin metathesis catalysts, pointing the way to new catalyst design directions.

WITHDRAWN: Intrinsic subsequence decomposition for sequence data and its application to computer intrusion detection

WITHDRAWN: Intrinsic subsequence decomposition for sequence data and its application to computer intrusion detection

NR/PP thermoplastic vulcanizates: Selection of optimal peroxide type and concentration in relation to mixing conditions

AbstractThermoplastic vulcanizates (TPVs) from natural rubber (NR) and polypropylene (PP) were studied, prepared by dynamic vulcanization during melt mixing, using various peroxides to crosslink the rubber phase. The objective was to find a proper balance between degree of crosslinking of the rubber and degradation of the PP‐phase, and the tendency of the peroxide to form smelly by‐products, in particular acetophenone. Four types of peroxides were investigated: 2,5‐dimethyl‐2,5‐di(tert‐butyl‐peroxy) hexyne‐3 (DTBPHY), 2,5‐dimethyl‐2,5‐di(tert‐butyl‐peroxy) hexane (DTBPH), di(tert‐butylperoxyisopropyl) benzene (DTBPIB), and dicumyl peroxide (DCP), at two mixing temperatures: 160 and 180°C for a 60/40 NR/PP TPV. The maximum and final mixing torques are clearly related to the intrinsic decomposition temperature of the particular peroxide used, where DCP and DTBPIB turn out to be effective at 160°C, whereas the other two require a higher temperature of 180°C. The best mechanical properties, tensile strength, elongation at break and compression set are obtained at lower mixing temperature with DCP and DTBPIB, presumably due to less degradation of the NR and PP. Unfortunately, these two peroxides form more smelly by‐products than DTBPHY and DTBPH. Dependent on the requirements of the pertinent application, a balanced selection needs to be made between the various factors involved to obtain an optimal product performance of these NR/PP TPVs. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 2007

Thermoplastic vulcanizates based on epoxidized natural rubber/polypropylene blends: Selection of optimal peroxide type and concentration in relation to mixing conditions

A proper balance between degree crosslinking of ENR and degradation of PP-phase, and the tendency of peroxide to form smelly by-products, in particular acetophenone are investigated on a 60/40 ENR/PP TPV. Four types of peroxides were used at two mixing temperatures: 160 and 180 oC. The maximum and final mixing torques are clearly related to the intrinsic decomposition temperature of the particular peroxide used, where DCP and DTBPIB turn out to be effective at 160 °C, whereas the other two type of peroxides require a higher temperature of 180 °C. The best mechanical properties are obtained at lower mixing temperature with DCP and DTBPIB, presumably due to less degradation of the PP and ENR. Unfortunately, these two types of peroxides form more smelly by-products and blooming than those of the DTBPHY and DTBPH. Dependent on the requirements of the pertinent application, a balanced selection needs to be made between the various factors involved to obtain an optimal product performance of these ENR/PP TPVs.