Correlation Scheme Research Articles

РЕГУЛЮВАННЯ ДІЯЛЬНОСТІ БАНКІВСЬКОГО СЕКТОРА У КОНТЕКСТІ ЗАБЕЗПЕЧЕННЯ ЙОГО ЕКОНОМІЧНОЇ БЕЗПЕКИ

The article substantiates the need to regulate the banking sector to ensure economic security of its operation. The main tasks of state regulation and supervision of the banking sector have been identified. The types of existing models of the institutional structure of the system of banking regulation and distribution of powers between prudential supervisors are revealed. Requirements for the development of a model of regulatory policy in the banking sector of Ukraine have been formed. The necessity of creating early crisis prevention systems (macroeconomic, based on warning indicators), monitoring of systemic financial institutions, application of macroprudential analysis with regular publication of a strategic document - the Financial Stability Report. The foreign experience of macroprudential regulation and supervision with the help of established specialized divisions of central banks on financial stability and security is reflected. The creation of a separate unit of financial stability and security in Ukraine was initiated, reporting directly to the Chairman of the NBU. The scheme of correlation of subjects of management and tools of maintenance of economic safety of national banking system with separation of subjects of management of economic safety of banking sector, tools of maintenance of economic safety of banking sector at the international and national levels of banking supervision is developed. The implementation of the principles of the Basel Accords in the activity of the banking system of Ukraine is determined as a determining factor in strengthening its financial stability and economic security. The issue of trust in the banking system is one of the main criteria for success, efficiency and security of the banking sector of the economy of each state. The need for monitoring and management of systemic risks has been proved.

Late Paleozoic Age and Nature of Protolith of Metamorphic Rocks of the Djagdagle Formation, Bureya Terrane, Central Asian Fold Belt

The results of geological, geochemical, Sm–Nd isotopic geochemical studies of metamorphic rocks of the Djagdagle Formation and U–Pb geochronological studies of its zircons are presented. In correlation schemes of geological complexes of the Bureya Terrane, this formation is the oldest (conditionally, Late Archean) amid other formations of the terrane; thus, it is considered its basement. The biotite and two-mica garnet-bearing gneisses of the formation formed owing to transformation of primary sedimentary rocks. The maxima on the relative probability curve of zircon age correspond to 487, 541, 690, 778, and 896 Ma. Thus, the Djagdagle Formation is Paleozoic rather than Early Precambrian, as was considered before. The lower age boundary of the accumulation of the protolith is identified by the age of the youngest zircon population of ~487 Ma. Similar ages of some cores and rims of zircons indicate that the rocks of the protolith underwent structural metamorphic transformations under PT conditions of amphibolite facies. The results of Sm–Nd and Lu–Hf isotopic studies indicate that the geological complexes which originated by means of reworking of the Mesoproterozoic crust could have been the source of primary sedimentary rocks. Taking into account the lack of Mesoproterozoic (and older) rocks in the structure of the Bureya Terrane, it can be suggested that the sources included some amount of ancient recycled material. Similar geological evolution of the Bureya and Jiamusi terranes is suggested on the basis of similar age ranges of metasedimentary rocks of the Djagdagle Formation and Turan Group of the Bureya Terrane and the Kimkan Formation of the Jiamusi Terrane. This is also evident from their synchronous Neoproterozoic magmatism.

Structural Properties of Scandium Chalcogenides via First Principle Calculations

Structural properties of scandium chalcogenides, whichused in the production of high-performance magnets, rechargeable batteries, alloys, catalysts, electronics and glasses,have investigated in NaCl (B1) structure using first principle calculations. Exchange correlation scheme of PBE and Becke has been used. The lattice constant and bulk modulus have found using linear combination of atomic orbital method within CRYSTAL06 code. The lattice constant and bulk modulus of ScS, ScSe, and ScTe are reported. The results are found to be compatible with the available experimental and theoretical data of the samples.

Closer examination of two-trace two-dimensional (2T2D) correlation spectroscopy

Two-trace two-dimensional (2T2D) correlation spectroscopy compares a pair of spectra by applying a form of cross correlation analysis. Planar maps of correlation intensities with two independent axes of spectral variables, like IR wavenumbers, are obtained. 2T2D correlation takes advantage of the fact that spectral intensities of bands arising from the same origin cannot change independently of each other and must be synchronized. In contrast, intensities arising from different sources often change asynchronously. Using cross peaks observed in the correlation spectra, one can distinguish and classify different contributing species represented in the original pair of spectra in a systematic manner. Highly overlapped neighboring bands originating from different sources can also be identified by the presence of asynchronous cross peaks, thus enhancing the apparent spectral resolution. It can be mathematically shown that 2T2D correlation is a special case of the well-established generalized 2D correlation scheme, where the two traces of the measured spectra are combined with an additional null spectrum with all the elements set to be zero for the analysis. This realization makes it possible to utilize existing software for generalized 2D correlation for routine 2T2D analysis.

The MRCC program system: Accurate quantum chemistry from water to proteins.

MRCC is a package of ab initio and density functional quantum chemistry programs for accurate electronic structure calculations. The suite has efficient implementations of both low- and high-level correlation methods, such as second-order Møller-Plesset (MP2), random-phase approximation (RPA), second-order algebraic-diagrammatic construction [ADC(2)], coupled-cluster (CC), configuration interaction (CI), and related techniques. It has a state-of-the-art CC singles and doubles with perturbative triples [CCSD(T)] code, and its specialties, the arbitrary-order iterative and perturbative CC methods developed by automated programming tools, enable achieving convergence with regard to the level of correlation. The package also offers a collection of multi-reference CC and CI approaches. Efficient implementations of density functional theory (DFT) and more advanced combined DFT-wave function approaches are also available. Its other special features, the highly competitive linear-scaling local correlation schemes, allow for MP2, RPA, ADC(2), CCSD(T), and higher-order CC calculations for extended systems. Local correlation calculations can be considerably accelerated by multi-level approximations and DFT-embedding techniques, and an interface to molecular dynamics software is provided for quantum mechanics/molecular mechanics calculations. All components of MRCC support shared-memory parallelism, and multi-node parallelization is also available for various methods. For academic purposes, the package is available free of charge.

Investigating ultra-low velocity zones in the southern hemisphere using an Antarctic dataset

Given limited seismic coverage of the lowermost mantle, less than one-fifth of the core-mantle boundary (CMB) has been surveyed for the presence of ultra-low velocity zones (ULVZs). Investigations that sample the CMB with new geometries are therefore important to further our understanding of ULVZ origins and their potential connection to other deep Earth processes. Using core-reflected ScP waves recorded by the recently deployed Transantarctic Mountains Northern Network in Antarctica, the current study aims to expand ULVZ investigations in the southern hemisphere. Our dataset samples the CMB in the vicinity of New Zealand, providing coverage between an area to the northeast, where ULVZ structure has been previously identified, and another region to the south, where prior evidence for a ULVZ was inconclusive. This area is of particular interest because the data sample across the boundary of the Pacific Large Low Shear Velocity Province (LLSVP). The Weddell Sea region near Antarctica is also well sampled, providing new information on a region that has not been previously studied. A correlative scheme between a large database of 1-D synthetic seismograms and the observed ScP data demonstrates that ULVZs are required in both study regions. Modeling uncertainties limit our ability to definitively define ULVZ characteristics but also likely indicate more complex 3-D structure. Given that ULVZs are detected within, along the edge of, and far from the Pacific LLSVP, our results support the hypothesis that ULVZs are compositionally distinct from the surrounding mantle and are not solely related to partial melt. ULVZs may be ubiquitous along the CMB; however, they may be thinner in many regions than can be resolved by current methods. Mantle convection currents may sweep the ULVZs into thicker piles in some areas, pushing these anomalies toward the boundaries of LLSVPs.

QUALITY CRITERIA FOR AUTOMATIC CORRELATION OF WELL SECTIONS BASED ON LOGGING DATA

A criterion is proposed for a formal assessment of the quality of automatically generated correlation schemes, their ranking and finding the best construction parameters based on leave-one-out cross-validation. The best correlation solution is considered to be one that provides a smaller error in predicting the spatial distribution of petrophysical properties in the sedimentary sequence. The applicability of the criterion was tested on the example of Vendian-Cambrian sections of the Chayandinskoye oil-gas and condensate field in Eastern Siberia.

Bayesian correlation is a robust gene similarity measure for single-cell RNA-seq data.

Assessing similarity is highly important for bioinformatics algorithms to determine correlations between biological information. A common problem is that similarity can appear by chance, particularly for low expressed entities. This is especially relevant in single-cell RNA-seq (scRNA-seq) data because read counts are much lower compared to bulk RNA-seq. Recently, a Bayesian correlation scheme that assigns low similarity to genes that have low confidence expression estimates has been proposed to assess similarity for bulk RNA-seq. Our goal is to extend the properties of the Bayesian correlation in scRNA-seq data by considering three ways to compute similarity. First, we compute the similarity of pairs of genes over all cells. Second, we identify specific cell populations and compute the correlation in those populations. Third, we compute the similarity of pairs of genes over all clusters, by considering the total mRNA expression. We demonstrate that Bayesian correlations are more reproducible than Pearson correlations. Compared to Pearson correlations, Bayesian correlations have a smaller dependence on the number of input cells. We show that the Bayesian correlation algorithm assigns high similarity values to genes with a biological relevance in a specific population. We conclude that Bayesian correlation is a robust similarity measure in scRNA-seq data.

Plant Breeding Evaluation Based on Coupled Feature Representation

With the rapid development of improved breeding equipment and information technology, computer-aided decision-making in plant breeding evaluation can help solve the problems associated with high-throughput demand and insufficient experience of breeders in modern large-scale field breeding experiments. Many linear models have made great contributions to the development of breeding evaluation although they are based on a wrong assumption of attribute independence. This paper proposes a unified coupled representation that integrates intra-coupled and inter-coupled relationships to capture the interdependence among quantitative traits by addressing coupling context and coupling weights. Moreover, a hybrid scheme of the linear correlation and ordinal relation is introduced to express the coupling relationship with a preset parameter that balances the contributions so as to capture both relative and absolute performance in cultivar selection and breeding evaluation. A framework that includes data preprocessing, coupled data representation, feature selection, prediction model construction, and assisted decision-making is our overall solution for the plant breeding evaluation task. Experiments on real plant breeding data sets demonstrated the effectiveness of coupled representation for elucidating the quantitative phenotypic traits and the advantages of the proposed plant breeding evaluation algorithm compared with benchmark algorithms.

СУСПІЛЬНО-ГЕОГРАФІЧНА СУТНІСТЬ ВІЙСЬКОВОЇ СФЕРИ УКРАЇНИ

The purpose of the article is to analyze the existing approaches to understanding the terms military sphere, military-industrial complex, defense-industrial complex, security and defense sector, military sector, determining the positioning of the military sphere and its position relative to other natural-geographical areas, joints and overlaps, identification of its functions and problems that interfere with proper functioning. Development of directions and prospects for the development of the military sphere and the Armed Forces of Ukraine in general. Method. The research was conducted on the basis of the analysis of available literature sources on this topic and the application of a spherical approach to the analysis of the positioning of the military sphere and the definition of its components. The available domestic and foreign literary sources and the ratio of these concepts within this literature are studied. Results. Theoretical and methodological problems of comparing concepts related to the military sphere and their interchangeability and interconnectedness are studied. The scheme of correlation of concepts of military sphere, defense-industrial complex and military-industrial complex is offered. Based on the spherical approach, we propose a scheme of the military sphere, which we consider as a sphere formed within the geosphere at the junction of social and natural spheres, at the intersection of demographic, informational, spiritual, environmental, technical, economic, political and social spheres. Within each oblast forming the sphere, three main sectors with the greatest influence on the military sphere are singled out. Six main functions of the sphere are singled out and arranged in order of importance on the basis of the proposed scheme. Scientific novelty. The need for this study is due to the fact that despite the fact that since 2014 and to date, fighting has been going on in the east of our country, in many universities the discipline of military geography and related disciplines is being stolen, the term military sphere has not been proposed. clear positioning of the military sphere among other social spheres. To date, the functions performed by the military sphere and the factors contributing to the improvement and development of this sphere have not been determined, which is what led to the implementation of this study. Practical meaning. Based on modeling and analysis, the main areas that affect the military sphere as such and to what extent are identified, the areas of greatest influence and sectors of influence within the regions are identified. The functions of the military sphere and the main factors influencing its development and transformation are highlighted, as well as what measures need to be implemented to improve the situation. The results of the research are developed for planning by the state structures of the program of development of the military sphere and for teaching the discipline "Military Geography". The geographical features of the military sphere are singled out, to which the greatest attention should be paid when analyzing the transformation of the military sphere.

Философия Гегеля и диалектика абсолютного и относительногоу Нисиды Китаро и Танабэ Хадзимэ

The study of philosophical teachings through the prism of intercultural philo­sophical dialogue provides an opportunity for a broader view of the history of philosophy overcoming the framework of the East-West dichotomy the limita­tions of which are becoming more and more obvious over time. This article is a further step in this direction. It demonstrates what aspects of Hegel’s thought were taken by Japanese thinkers of Kyoto School and how they were developed in new philosophical and cultural context. In particular, such moments as the concepts of the unity of logic and metaphysics, logic and the historical pro­cess, the scheme of correlation of the absolute and the world, the principles of negation, double negation, contradiction, the dialectic of identity and difference, direct and mediation, individual, special and universal, became the object of con­sideration. The author makes an attempt to reveal the mechanisms of perception and adaptation of elements of a seemingly completely alien religious and cultural tradition. She offers her vision of character and degree of Hegel’s influence upon Nishida Kitaro and Tanabe Hajime, arguing that the points in the teachings of the German philosopher relevant to the key doctrines of Mahayana Buddhism were most attractive to them. The article concludes that Japanese thinkers, not being followers of Hegel, nevertheless made extensive use of his conceptual tools, approaches, and logical constructions to express their own ideas. Equally important is the fact that the appeal of Japanese philosophers to Hegel allowed them to more clearly define their own position regarding the central idea of their philosophy.

Towards Interference-aware ZigBee Transmissions in Heterogeneous Wireless Networks

Cross-technology interference (CTI) from diverse wireless networks such as ZigBee, Bluetooth, and Wi-Fi has become a severe problem in the 2.4 GHz Industrial Scientific and Medical (ISM) band. Especially, low power and lossy networks are vulnerable to the signal interferences from other aggressive wireless networks when they perform low power operations to conserve the energy consumption. This paper presents CoSense, which accurately detects ZigBee signals with a reliable signal correlation scheme in the presence of the CTI. The key concept of CoSense is to reduce false wake-ups of low power listening (LPL) by identifying the pre-defined ZigBee signatures. Our scheme is robust in the coexistence environment of diverse wireless technologies since the signal correlation works well in bad wireless channel conditions. It achieves standard compliance and transparency without any hardware and firmware changes. We have implemented CoSense on the Universal Software Radio Peripheral (USRP) platform to verify its feasibility. The experimental exploration reveals that CoSense significantly reduces the false-positive and false-negative rate under typical setting and the additional overhead is negligible. The results show that our scheme saves much energy by up to 63% in dynamic network interference scenarios where low-power ZigBee transmissions are overwhelmed by strong Wi-Fi signal interferences.

Новые данные по стратиграфии и обновленная схема корреляции верхнего ордовика и силура Тимано-Печорской нефтегазоносной провинции и севера Урала

Новые данные по стратиграфии и обновленная схема корреляции верхнего ордовика и силура Тимано-Печорской нефтегазоносной провинции и севера Урала

Efficient Timing/Frequency Synchronization Based on Sparse Fast Fourier Transform

Efficient synchronization is of great importance for fiber optical coherent communication system. Here, we propose an accurate and low-complexity timing/frequency synchronization scheme based on sparse fast Fourier transform (S-FFT). The proposed scheme consists of coarse timing/frequency synchronization, fine timing synchronization, and fine frequency synchronization. Inspired by the idea of S-FFT, we take full advantages of the sparse nature of training symbols (TSs) and realize the synchronization in the frequency domain. The proposed scheme enables accurate timing synchronization at low signal-to-noise ratio (SNR) region. A complete frequency offset estimation (FOE) range of [−symbol rate/2, + symbol rate/2] can be realized with high resolution. Finally, the proposed scheme is experimentally verified through 10 Gbaud dual-polarization (DP) 16/32-quadrature amplitude modulation (QAM) transmission, without the BER performance penalty. In particular, the total computation complexity is reduced by nearly 200 times in comparison with that using conventional sliding window correlation scheme.

Robust Estimation of Similarity Transformation for Visual Object Tracking

Most of existing correlation filter-based tracking approaches only estimate simple axis-aligned bounding boxes, and very few of them is capable of recovering the underlying similarity transformation. To tackle this challenging problem, in this paper, we propose a new correlation filter-based tracker with a novel robust estimation of similarity transformation on the large displacements. In order to efficiently search in such a large 4-DoF space in real-time, we formulate the problem into two 2-DoF sub-problems and apply an efficient Block Coordinates Descent solver to optimize the estimation result. Specifically, we employ an efficient phase correlation scheme to deal with both scale and rotation changes simultaneously in log-polar coordinates. Moreover, a variant of correlation filter is used to predict the translational motion individually. Our experimental results demonstrate that the proposed tracker achieves very promising prediction performance compared with the state-of-the-art visual object tracking methods while still retaining the advantages of high efficiency and simplicity in conventional correlation filter-based tracking methods.

Self-Supervised Model Adaptation for Multimodal Semantic Segmentation

Learning to reliably perceive and understand the scene is an integral enabler for robots to operate in the real-world. This problem is inherently challenging due to the multitude of object types as well as appearance changes caused by varying illumination and weather conditions. Leveraging complementary modalities can enable learning of semantically richer representations that are resilient to such perturbations. Despite the tremendous progress in recent years, most multimodal convolutional neural network approaches directly concatenate feature maps from individual modality streams rendering the model incapable of focusing only on relevant complementary information for fusion. To address this limitation, we propose a mutimodal semantic segmentation framework that dynamically adapts the fusion of modality-specific features while being sensitive to the object category, spatial location and scene context in a self-supervised manner. Specifically, we propose an architecture consisting of two modality-specific encoder streams that fuse intermediate encoder representations into a single decoder using our proposed self-supervised model adaptation fusion mechanism which optimally combines complementary features. As intermediate representations are not aligned across modalities, we introduce an attention scheme for better correlation. In addition, we propose a computationally efficient unimodal segmentation architecture termed AdapNet++ that incorporates a new encoder with multiscale residual units and an efficient atrous spatial pyramid pooling that has a larger effective receptive field with more than 10x fewer parameters, complemented with a strong decoder with a multi-resolution supervision scheme that recovers high-resolution details. Comprehensive empirical evaluations on several benchmarks demonstrate that both our unimodal and multimodal architectures achieve state-of-the-art performance.

Complete mechanical regularization applied to digital image and volume correlation

This paper presents a new regularization scheme for Digital Image Correlation (DIC) and Digital Volume Correlation (DVC) techniques based on the equilibrium gap method with reference to a linear elastic behavior. This scheme constitutes a unique framework for performing the so-called mechanical regularization for any problem dimension. “Complete regularization” refers to the fact that a specific treatment of boundaries (surfaces) is introduced here on the same footing as the bulk, independently of the complexity of their shape. The proposed treatment distinguishes the roles that different boundaries (Neumann or Dirichlet) play in mechanical tests. Numerical cases on synthetic data and a real experimental test validate the robustness and accuracy of the method. The analyzed experiment shows that only the use of (complete) regularization ensures convergence. Even in the cases where such regularization is not employed but convergence is achieved, it is at much higher cost. These results reveal the benefit of regularization on the convergence rate of DVC.

Strain induced electronic and magnetic properties of 2D magnet CrI3: a DFT approach

In the post-graphene era, out of several monolayer 2D materials, Chromium triiodide () has triggered an exotic platform for studying the intrinsic ferromagnetism and large anisotropy at the nanoscale regime. Apart from that, its strong spin–orbit coupling of I also plays a key role in tailoring the electronic properties. In this work, the composition of compressive and tensile strain (uniaxial as well as biaxial) upto 12% have been applied to study the variation of the electronic and magnetic properties of employing density functional theory in (LDA+U) exchange correlation scheme. The stability limits of the structures under the influence of strains have been carried out via the deformation potential (DP) and stress–strain relation. For compressive strains in specific directions, the down-spin band gap is seen to be decreasing steadily. The magnetic moment computed from the density of states (DOS) is enhanced significantly under the influence of compressive strain. However, it has been observed that after the application of strain in some specific crystal directions, the magnetic moment of monolayer remains almost unchanged. Thus, with the help of strain, the tunning band gap along with underlying characteristic ferromagnetism of this material can unfold a new avenue for potential usage in spintronic devices.

Global Travel Time Data Set From Adaptive Empirical Wavelet Construction

AbstractWe present a method for constructing the average waveform shape (hereafter called “empirical wavelet”) of seismic shear waves on an event‐by‐event basis for the purpose of constructing a high‐quality travel time data set with information about waveform quality and shape. A global data set was assembled from 360 earthquakes between 1994 and 2017. The empirical wavelet approach permits documentation of the degree of similarity of every observed wave with the empirical wavelet. We adapt the empirical wavelet to all pulse widths, thus identifying broadened (e.g., attenuated) pulses. Several measures of goodness of fit of the empirical wavelet to each record are documented, as well as signal‐to‐noise ratios, permitting users of the data set to employ flexible weighting schemes. We demonstrate the approach on transversely polarized SH waves and build a global travel time data set for the waves S, SS, SSS, Sdiff, ScS, and ScSScS. Onset arrival times of the waves were determined through a correlation scheme with best‐fitting empirical wavelets. Over 250,000 travel times were picked, from over 1.4 million records, all of which were human‐checked for accuracy via a Portable Document Format (PDF) catalog file making system. Many events were specifically selected to bolster southern hemisphere coverage. Coverage maps show that, while the northern hemisphere is more densely sampled, the southern hemisphere coverage is robust. The travel time data set, empirical wavelets, and all measurement metrics are publicly available and well suited for global tomography, as well as forward modeling experiments.

Illumination-Robust Subpixel Fourier-Based Image Correlation Methods Based on Phase Congruency

The Fourier-based image correlation technique has been widely concerned due to its accuracy, efficiency, and robustness to image contrast and brightness. Accordingly, a variety of subpixel methods have been proposed. However, the detailed subpixel-level influence of the complicated radiometric variations has yet to be investigated, and few corresponding improvements have been made. This paper presents a novel illumination-robust subpixel Fourier-based image correlation method based on phase congruency. Both the magnitude and orientation information of the phase congruency features are adopted to construct a structural image representation. The image representation is then embedded into the correlation scheme of the subpixel methods, either by linear phase estimation in the frequency domain or by kernel fitting in the spatial domain, achieving two improved subpixel methods. The proposed methods integrate the advantages of the structural image representation and the original correlation scheme, and make full use of both global and local phase information to achieve illumination-robust correlation. Experiments undertaken with both simulated and real radiometric differences were carried out with ground-truth subpixel shifts. The performances of the proposed methods and the other state-of-the-art subpixel Fourier-based correlation methods were evaluated and compared. The experimental results indicate that the proposed methods outperform the other methods in the presence of diverse radiometric variations, in both accuracy and robustness.