Miracle-dz/UniFAR-FTUs huggingface dataset:
A Perception Based Color Image Adaptive Watermarking Scheme In Ycbcr Spac

igital watermarking scheme is an important tool for copyright protection technique. A good quality watermarking scheme should have high perceptual transparency, and should also be robust enough against possible attacks. A well-known (Lewis-Barni) Human Visual System (HVS) based watermarking model is fairly successful with respect to the first mentioned criterion, though its effectiveness in color images has not been claimed. In other words, Barni et al.’s model is capable of finding visually significant components of not only gray scale images, but color images also. This is verified by the perceptually good results (high PSNR) obtained by image adaptive watermarking strength selection on color images. The ‘Cb’ component of YCbCr color space is used for watermark embedding, as HVS is least sensitive in changes of blue color. Multiresolution property of DWT and stability of SVD makes the scheme robust.
Marginalizing and conditioning in graphical models

A class of graphs is introduced which is closed under marginalizing and conditioning. It is shown that these operations can be executed by performing in arbitrary order a sequence of simple, strictly local operations on the graph at hand. The results are based on a simpliﬁcation of J. Pearl’s notion of d -separation. As the simpliﬁcation does not change the separation properties of graphs for which the original d -separation concept is applicable (e
Experimental analysis of decoherence in continuous-variable bipartite systems

Quantum properties are soon subject to decoherence once the quantum system interacts with the classical environment. In this paper we experimentally test how propagation losses, in a Gaussian channel, affect the bipartite Gaussian entangled state generated by a subthreshold type-II optical parametric oscillator. Experimental results are discussed in terms of different quantum markers, as teleportation fidelity, quantum discord, and mutual information, and continuous-variable (CV) entanglement criteria. To analyze state properties we have retrieved the composite system covariance matrix by a single homodyne detector. We experimentally found that, even in the presence of a strong decoherence, the generated state never disentangles and keeps breaking the quantum limit for the discord. This result proves that the class of CV entangled states discussed in this paper would allow, in principle, to realize quantum teleportation over an infinitely long Gaussian channel.
Efﬁciently exploring the machine learning pipeline design space

The search space of all possible Machine Learning (ML) pipelines is conditional, mixed-integer, and of inﬁnite size. Thus, given a novel ML problem, the task of ﬁnding, within a given budget of time, the pipeline which will give the best solution is a very difﬁcult one. This article 1 presents an Automated Machine Learning (AutoML) methodology 2 for trying to ﬁnd the best possible ML solution to a novel ML problem in a given bud-get of time. An evaluation of the methodology is included in which it is compared against reasonable baselines. An ablation study of the major components of the methodology is also included. Through the evaluation we ﬁnd that although the experiments yield too few data points to determine real statistical signiﬁcance, we still see our approach outperform the baselines by a reasonable margin, showing promise for future work.
Data-enabled sketch search and retrieval for visual design stimuli generation

Abstract Access to vast datasets of visual and textual materials has become significantly easier. How to take advantage of the conveniently available data to support creative design activities remains a challenge. In the phase of idea generation, the visual analogy is considered an effective strategy to stimulate designers to create innovative ideas. Designers can read useful information off vague and incomplete conceptual visual representations, or stimuli, to reach potential visual analogies. In this paper, a computational framework is proposed to search and retrieve visual stimulation cues, which is expected to have the potential to help designers generate more creative ideas by avoiding visual fixation. The research problems include identifying and detecting visual similarities between visual representations from various categories and quantitatifying the visual similarity measures serving as a distance metric for visual stimuli search and retrieval. A deep neural network model is developed to learn a latent space that can discover visual relationships between multiple categories of sketches. In addition, a top cluster detection-based method is proposed to quantify visual similarity based on the overlapped magnitude in the latent space and then effectively rank categories. The QuickDraw sketch dataset is applied as a backend for evaluating the functionality of our proposed framework. Beyond visual stimuli retrieval, this research opens up new opportunities for utilizing extensively available visual data as creative materials to benefit design-by-analogy.
Lectures on Noncommutative Geometry

These Lectures are based on a course on noncommutative geometry given by the author in 2003 at the University of Chicago. The lectures contain some standard material, such as Poisson and Gerstenhaber algebras, deformations, Hochschild cohomology, Serre functors, etc. We also discuss many less known as well as some new results, in particular, noncommutative Chern-Weil theory, noncommutative symplectic geometry, noncommutative differential forms and double-tangent bundles.
Variables, Indicators, and Data

One of the more debilitating digressions in the evolution of the scientific enterprise is the controversy over the relative importance of models and data. Time and again, in every discipline from archaeology to zoology, the issue has reappeared with sufficient force to engage scholarly attention and to generate reams of rhetoric. In the social sciences, as in the biological and physical sciences, we have expended considerable energies on the data versus model (some would say “theory”) emphasis, usually to the detriment of scientific advancement.
Curvature-based Shape Representation for Similarity Retrieval

The Curvature Scale Space (CSS) image is a multi-scale organisation of the in(cid:13)ection points of a closed planar curve as it is smoothed. It consists of several arch shape contours, each related to a concavity or a convexity of the curve. In our recent work, we have used the maxima of these contours to represent the boundary of objects in shape similarity retrieval. In our new approach, each segment of a shape is represented by the relevant maximum of the CSS image as well as the average curvature on the segment at certain level of scale. In this paper we explain how this new representation together with its matching algorithm improve the performance of our shape similarity retrieval system. To evaluate the proposed method, we created a small classi(cid:12)ed image database. We then measured the performance of the system on this database. The quanti(cid:12)ed results of this test provided supporting evidence for the performance superiority of the proposed method.
Determining small refractive index contrast in chalcogenide-glass pairs at mid-infrared wavelengths

: A two-composition thin ﬁlm (Ge 20 Sb 10 Se 70 /Ge 20 Sb 10 Se 67 S 3 atomic % core/cladding glasses) was fabricated using a hot-ﬁbre-pressing technique in which both glasses follow the same post-ﬁbre processing. A simple approach is proposed that uses normal incidence transmission spectra to determine their refractive index contrast over the wavelength range from 2 to 25 µm with an error of less than ± 0.002. Using an improved Swanepoel method, the calculated numerical aperture of these two compositions was within ± 0.011 of that obtained from prism minimum deviation measurements. Results show that introducing 3 atomic % S into the Ge-Sb-Se glass system lowered the refractive index and blue-shifted the visible optical bandgap, the far-infrared fundamental vibrational absorption bands and the zero-dispersion wavelength. using the transmission spectra at normal-incidence, the refractive contrast can be determined over the wavelength range from 2 to 25 µm with an error of less than 0.0020 due to a typically thickness variation of < 0.05 µm of the two-composition thin ﬁlm. To determine the absolute values of the refractive index and thicknesses of each glass in the two-composition thin ﬁlm, the improved Swanepoel method was applied. Over the wavelength range 3 to 25 µm, the refractive index can be determined with a standard deviation of precision < 0.002 and the refractive index contrast can be determined with an error of ± 0.0005. The SIF NA was determined from this technique with an error of ± 0.011, compared to the value of SIF NA from the prism minimum deviation method, on samples made from the same glass melts. 3 at. % S replacing Se pro rata in the Ge-Sb-Se glass system (to formulate the cladding glass composition relative to the core glass composition) was shown to blue-shift the NIR optical bandgap and MIR fundamental vibrational absorption bands, lower the refractive index by 0.013 at a wavelength of 3.1 µm and by 0.012 at a wavelength of 6.45 µm, and move the zero dispersion wavelength to shorter wavelength: shifted from 6.3 to 6.1 µm.
Kingsgateite, ZrMo6+2O7(OH)2⋅2H2O, the first natural zirconium molybdate from Kingsgate, New South Wales, Australia

Abstract Kingsgateite, ZrMo6+2O7(OH)2⋅2H2O, is a new supergene mineral from the Old 25 Pipe, Kingsgate, Gough Co., New South Wales, Australia. The mineral occurs in cavities in a quartz, muscovite matrix associated with molybdenite, gelosaite and mambertiite. It forms yellowish green to bluish grey, square tabular crystals to 0.12 mm across. Kingsgateite has a white streak and a vitreous lustre. Cleavage was not observed and the fracture is uneven. The calculated density is 3.74 g/cm–3 based on the empirical formula. Kingsgateite is optically biaxial (+), the calculated indices of refraction are α = 1.88, β = 1.89, γ = 1.96 and 2Vcalc = 42.6°. The pleochroism is X = light orange, Y = light yellow and Z = red brown; Y < X < Z. The mineral is tetragonal, space group I41cd, a = 11.4626(16), c = 12.584(3) Å, V = 1653.4(6) Å3 and Z = 8. Electron microprobe analysis yielded ZrO2 23.09, UO2 1.14, ThO2 0.76, FeO 0.62, MoO3 59.27, P2O5 0.29, SO3 1.25, Cl 0.16, H2O 11.62, O=Cl –0.04, total 98.16 wt. %. The empirical formula on the basis of 11 anions per formula unit is Zr0.88U6+0.02Th0. 01Fe2+0.04Mo6+1.94S0. 07P0.02O6. 90Cl0.02OH2. 08⋅2.00H2O. The crystal structure of kingsgateite, refined using synchrotron single-crystal data [R1 = 4.53% for 1159 reflections with Fo > 4σ(Fo)], is a framework of edge- and corner-sharing ZrO5(OH)2 pentagonal bipyramids and MoO4(OH)(H2O) octahedra. Kingsgateite is isostructural with the synthetic compound ZrMo6+2O7(OH)2⋅2H2O.
THE LOGARITHMIC INTERSECTION BODY

Haberl and Ludwig extended the classical intersection body to L p space, and they showed that the classical intersection body is the limit case of the L p intersection body. In this paper, we introduce the logarithmic intersection body and prove that it is the limit case of the normalized L p intersection body. The af ﬁ ne nature of the logarithmic intersection body operator is demonstrated. Furthermore, a positive answer to the log-Busemann-Petty problem is given.
Guaranteed Transient Performance with $\mathcal{L}_1$ Adaptive Controller for Systems with Unknown Time-varying Parameters: Part I

This paper presents a novel adaptive control methodology for uncertain systems with time-varying unknown parameters and time-varying bounded disturbance. The adaptive controller ensures uniformly bounded transient and asymptotic tracking for system's both signals, input and output, simultaneously. The performance bounds can be systematically improved by increasing the adaptation gain. Simulations of a robotic arm with time-varying friction verify the theoretical findings.
Plumbed homology 3-spheres bounding acyclic 4-manifolds

The main purpose of this paper is to give an explicit formula of a homology cobordism invariant of plumbed homology 3-spheres which was deﬁned in a joint work with M. Furuta by using the Seiberg-Witten monopole equation on 4-dimensional V-manifolds [8]. This formula provides a suﬃcient condition for homology 3-spheres of plumbing type to have inﬁnite order in the homology cobordism group.
Mn-doped 0.71Pb(Mg1∕3Nb2∕3)O3–0.29PbTiO3 pyroelectric crystals for uncooled infrared focal plane arrays applications

3mol%Mn-doped 0.71Pb(Mg1∕3Nb2∕3)O3–0.29PbTiO3 single crystals were grown by a modified Bridgman technique. The pyroelectric properties and thermal stability of the crystals were investigated. Mn substitution resulted in an enhanced pyroelectric coefficient and a lower dielectric loss, which led to the improvement of the detectivity figure of merit of doped crystals by about a factor of 4 at 50Hz compared with that of pure crystals. Moreover, the thermal stability was enhanced by Mn substitution. The mechanism of doping effect is explained by the fact that the domain walls are pinned by the dopant dipolar defects, which optimizes the pyroelectric performance of 0.71Pb(Mg1∕3Nb2∕3)O3–0.29PbTiO3 for uncooled infrared focal plane arrays applications.
An Extensible Conceptual Model for Tabular Scientiﬁc Datasets

—There is a proliferation of datasets generated by various scientists of different scientiﬁc disciplines. Therefore, there is a growing need to construct and develop platforms that enable scientists to capture, exchange, process, and interpret data for immediate use, as well as to store and manage data to support future reuse. Modeling and organizing data within such platforms are key challenges. To this end, in this paper, we introduce the dataset model of the BExIS 2 platform and how data can be organized inside the model. In particular, we describe the anatomy of a general purpose tabular dataset, which consists of data tuples to represent the table rows and data cells that are compound objects holding the obtained values and their auxiliary information. The structure of datasets is deﬁned and applied separately in order to factor out shared concepts such as unit of measurement, methodology, data type, valid and missing values, processing functions and so on. The datasets are extensible in multiple ways and can be annotated on various levels utilizing taxonomies, ontologies, and custom metadata structures.
Software Performance Engineering in Complex Distributed Systems

Performance is a make-or-break quality for software. When making changes it is essential to ensure no performance regression has occurred i.e. the program performs more slowly or consumes more resources than previous versions. Tribler is the result of ten years scientific research in complex distributed systems. Over the course of years Tribler’s performance has fallen below acceptable user experience levels, mainly because there is a lack of software performance engineering. In this work, we lay the foundations for a regression testing system that allows developers to continuously monitor the metrics that are having the most impact on the performance of Tribler. Applying this system gave us a deep insight in the greatest bottleneck of the performance of Tribler: synchronous, blocking disk operations. Resolution of this bottleneck includes a major refactoring effort of the message synchronization system Dispersy. Implementation of a novel, non-blocking disk operation framework allowed us to increase the throughput of Tribler’s API by up to 150% and reduce its response times by up to 57.5%.
Universal Definition of Myocardial Infarction pplicable After Complex Percutaneous Coronary Interventions ?

bjectives This study aimed to characterize myocardial infarction after percutaneous coronary inervention (PCI) based on cardiac marker elevation as recommended by the new universal definition nd on the detection of late gadolinium enhancement (LGE) by cardiovascular magnetic resonance CMR). It is also assessed whether baseline inflammatory biomarkers are higher in patients developng myocardial injury.
TASTE-ODOR INTERACTIONS AND PERCEPTUAL SEPARABILITY

Taste-odor interactions are usually studied by asking assessors to estimate the taste intensity of tastants alone or in mixture with odor compounds. We propose another method to study taste-odor interactions based on the selective attention paradigm proposed by Garner (1974). This paradigm is based on the following principle: If two dimensions are separable (i.e., no interaction occurs), the performance at a categorization task based on one dimension is not affected by variations on the other dimension. Two pairs of perceptual dimensions were studied with stimuli varying in: sucrose/vanillin concentrations and citric acid/lemon aroma concentrations. For both pairs of dimensions, results showed that performance at the categorization task on one dimension were consistently lower when the level of the irrelevant dimension varied than when it remained constant. This gave evidence of an interaction for these two pairs of dimensions. This experiment shows the potential of such a paradigm for taste-odor interactions studies.
Components or to Its Purified Cell Wall gingivalis Porphyromonas Macrophage Exposed to Identification of Signaling Pathways in

Porphyromonas gingivalis ( P. gingivalis ) can trigger an inﬂammatory condition leading to the destruction of periodontal tissues. However P. gingivalis LPS and its ﬁmbriae (FimA) play different roles compared with the live bacteria in the context of intracellular molecule induction and cytokine secretion. To elucidate whether this difference results from different signaling pathways in host immune response to P. gingivalis , its LPS, or its FimA, we examined gene expression proﬁle of human macrophages exposed to P. gingivalis , its LPS, or its FimA. A comparison of gene expression resulted in the identiﬁcation of three distinct groups of expressed genes. Furthermore, computer-assisted promoter analysis of a subset of each group of differentially regulated genes revealed four putative transcriptional regulation models that associate with transcription factors NF (cid:1) B, IRF7, and KLF4. Using gene knockout mice and siRNA to silence mouse genes, we showed that both TLR2 and TLR7 are essential for the induction of NF (cid:1) B-containing genes and NF (cid:1) B-IFN-sensitive response element (ISRE) cocontaining genes by either P. gingivalis or its puriﬁed components. The gene induction via either TLR2 or TLR7 is dependent on both MyD88 and p38 MAPK. However, the unique induction of IFN- (cid:2) by P. gingivalis LPS requires TLR7 and IFN (cid:3)(cid:2) R cosignaling, and the induction of ISRE-containing gene is dependent on the activation of IFN- (cid:2) autocrine loop. Taken together, these data demonstrate that P. gingivalis and its components induce NF (cid:1) B-containing genes through either TLR2- or TLR7-MyD88-p38 MAPK pathway, while P. gingivalis LPS Induction of pS727 STAT1 by P. gingivalis or its components is dependent on MyD88, while induction of pY701 STAT1 by LPS is dependent on IFN (cid:1)(cid:3) R
Different Precipitation Mechanisms Produce Heavy Rain With and Without Lightning in Japan

During summer, disturbed weather brings frequent bouts of heavy rain to Japan in two types of cloud systems, one with high lightning activity and the other with low lightning frequency. To find the basis for this difference, data from three Baiu and two non-Baiu Japanese heavy rain events in 2008–2009 were compared with videosonde data from various cloud systems across East and Southeast Asia. This analysis suggests that heavy rain is produced by two different precipitation mechanisms: by graupel growth in high-electrical-activity clouds and by frozen drop growth in low-electrical-activity clouds. High electrification is achieved only in graupel-growing clouds, where numerous ice crystals also grow and the riming electrification process is active.
DENSITY BASED TRAFFIC SIGNAL CONTROL WITH POWER SAVER STREET LIGHT

Present Traffic Light Controllers (TLC) have impediments since it utilizes the pre-characterized equipment, which is working as indicated by the program that does not have the adaptability of adjustment on constant premise.Because of the settled time intervals of green, orange and red signal, the holding up time is progressively and car utilizes more fuel. We developed a new technique called as “Intelligent traffic light controller” in order to make the traffic light controlling more efficient. GSM PDA interface is additionally accommodated clients the individuals who wish to acquire the most recent position of activity on congested streets. This is an exceptional element of this undertaking which is exceptionally helpful to various drivers to take a backup route in case of congestion.The system is also used for smart lighting in street lights. The project is implemented with smart embedded system that controls the street light based on detection of moving. According to this project if any ambulance at emergency comes to any traffic post the traffic signals automatically stop the signals and give green signal for this ambulance.Traffic jams is one of the crucial issue in India due towhich ambulance services get affected on large amount, due todelay in ambulance service, patient may lose his life and numberof these scenarios are getting increased day by day.
Scope of context awareness in cross domain recommender system – a brief review

Cross Domain Recommender Systems (CDRS) and Context Aware Recommender systems (CARS) are the major emerging and fast growing research topics in the active research field of Recommender Systems. For personalized recommendation, CARS utilizes different contexts in a particular domain along with user ratings, whereas CDRS utilizes data from one or more domains to make predictions to the users either one of the domains by using utilizing the context similarity among those domains. These research areas are still new and largely unexplored. Here we are surveying different researches happened in each field of Recommender System(RS) separately and thus tries to find out the scope of combining them to solve the state of the art problems in RS research and the possibilities of improving the efficiency and accuracy of RS. CDRS is emphasized mainly only the historical data of both source and target domains only, but the thing is that users choice may change according to different temporal contexts such as time, location etc. Both can complement each other for the betterment of recommendation tasks. As a result of this survey, an outline of the framework is proposed for Cross Domain-Context Aware Recommender System (CDCARS).
Integrating an Automatic Tonal Expert Agent into a Real-time Music Environment

The idea of connecting the realm of symbolic music making and the direct use of audio is a relevant problem in today’s music production technologies. In an effort to overcome these issues two different versions of musical expert agents were implemented for a real-time environment. These served as a basis for providing musical knowledge to the instrument player by suggesting multiple sets of symbolic tonal material. The focus was on the generative methods in which the link between the suggested notes and the simultaneously played sound files was made. After conducting a qualitative user test, the overall observation was that players preferred using the automatic expert agents to the manual scenario. In addition, it was concluded that people with less musical knowledge found the automatic tools more useful than people with more musical background.