Learning-Based Conditional Image Coder Using Color Separation

Recently, image compression codecs based on Neural Networks(NN) outperformed the state-of-art classic ones such as BPG, an image format based on HEVC intra. However, the typical NN codec has high complexity, and it has limited options for parallel data processing. In this work, we propose a conditional separation principle that aims to improve parallelization and lower the computational requirements of an NN codec. We present a Conditional Color Separation (CCS) codec which follows this principle. The color components of an image are split into primary and non-primary ones. The processing of each component is done separately, by jointly trained networks. Our approach allows parallel processing of each component, flexibility to select different channel numbers, and an overall complexity reduction. The CCS codec uses over 40% less memory, has 2x faster encoding and 22% faster decoding speed, with only 4% BD-rate loss in RGB PSNR compared to our baseline model over BPG

Basic principles of thermo-acoustic energy and temporal profile detection of microwave pulses

Basic principles of a thermo-acoustic method developed for the detection of powerful microwave pulses of nanosecond duration are discussed. A proposed method is based on the registration of acoustic pulse profile originated from the thermal expansion of the volume where microwave energy was absorbed. The amplitude of excited acoustic transient is proportional to absorbed microwave energy and its temporal profile resembles one of a microwave pulse when certain conditions are satisfied. The optimal regimes of microwave pulse energy detection and sensitivity of acoustic transient registration with piezo-transducer are discussed. It was demonstrated that profile of a microwave pulse could be detected with temporal resolution of 1 – 3 nanosecond

Photoacoustic tomography system for noninvasive real-time three-dimensional imaging of epilepsy

A real-time three-dimensional (3D) photoacoustic imaging system was developed for epilepsy imaging in small animals. The system is based on a spherical array containing 192 transducers with a 5 MHz central frequency. The signals from the 192 transducers are amplified by 16 homemade preamplifier boards with 26 dB and multiplexed into a 64 channel data acquisition system. It can record a complete set of 3D data at a frame rate of 3.3 f/s, and the spatial resolution is about 0.2 mm. Phantom experiments were conducted to demonstrate the high imaging quality and real time imaging ability of the system. Finally, we tested the system on an acute epilepsy rat model, and the induced seizure focus was successfully detected using this system

МОДЕЛИ ПРОГНОЗИРОВАНИЯ ОБЪЕМА ПРОСРОЧЕННОЙ ЗАДОЛЖЕННОСТИ ПО КРЕДИТАМ

Dynamics of debt on loans is important characteristic of the development of the real sector of the economy. Growth of arrears indicates negative trend of the economic development of the real sector of the economy. In connection with the above monitoring and forecasting of the volume of the overdue debt has a very importance in the conditions of economic instability. We used the Official statistics of the Central Bank of the Russian Federation to show a steady decline in the share of overdue debt in the period from January 2011 to December 2013, and the change of this trend in the beginning of 2014. Greatest growth of overdue debts since the beginning of 2015, which was a manifestation of the crisis phenomena in the Russian economy.In this article we constructed models for predicting the volume of overdue debt on loans to legal entities and individual entrepreneurs. There was evaluated the predictive properties of the constructed models and showed the advantage of the use of the identification approach to the choice of model structure.Динамика задолженности по кредитам во многом характеризует развитие реального сектора экономики, а рост просроченной задолженности указывает на ухудшение этого развития. В связи с этим в условиях экономической нестабильности особенно актуальными являются мониторинг и прогнозирование объема просроченной задолженности. Официальная статистика Центрального банка Российской Федерации показывает, что в период с января 2011 г. по декабрь 2013 г. наблюдалось устойчивое снижение доли просроченной задолженности, а в начале 2014 г. произошла смена направления тренда. Набольший рост просроченной задолженности наблюдается с начала 2015 г., что объясняется проявлением кризисных явлений в российской экономике. В статье построены модели прогнозирования объема просроченной задолженности по кредитам юридических лиц и индивидуальных предпринимателей, оценены прогнозирующие свойства построенных моделей, показано преимущество применения идентификационного подхода к выбору структуры модели

STRUCTURAL DIAGNOSTICS OF GEOMATERIALS BY LASER ULTRASONIC SPECTROSCOPY

Abstract The possibilities of laser ultrasonic echoscopy for detection and diagnostics of rock structural imperfections are considered. It is shown, that calculating with the help of fast Fourier transformation spectra of the signals, arrived in a sample and multiple scattered, and carrying out a corresponding frequency filtration, it is possible to obtaine environment reflaction factor and on its basis to construct the sample structure image.The examples of forming images of structural changes under different influences on the rock samples are presented. The ferruginous quartzite samples were influenced by pulse electromagnetic field, the Karelian marble samples -thermal field

Methods of measuring residual stresses in components

Residual stresses occur in many manufactured structures and components. Large number of investigations have been carried out to study this phenomenon and its effect on the mechanical characteristics of these components. Over the years, different methods have been developed to measure residual stress for different types of components in order to obtain reliable assessment. The various specific methods have evolved over several decades and their practical applications have greatly benefited from the development of complementary technologies, notably in material cutting, full-field deformation measurement techniques, numerical methods and computing power. These complementary technologies have stimulated advances not only in measurement accuracy and reliability, but also in range of application; much greater detail in residual stresses measurement is now available. This paper aims to classify the different residual stresses measurement methods and to provide an overview of some of the recent advances in this area to help researchers on selecting their techniques among destructive, semi destructive and non destructive techniques depends on their application and the availabilities of those techniques. For each method scope, physical limitation, advantages and disadvantages are summarized. In the end this paper indicates some promising directions for future developments

Temporal fluctuations of waves in weakly nonlinear disordered media

We consider the multiple scattering of a scalar wave in a disordered medium with a weak nonlinearity of Kerr type. The perturbation theory, developed to calculate the temporal autocorrelation function of scattered wave, fails at short correlation times. A self-consistent calculation shows that for nonlinearities exceeding a certain threshold value, the multiple-scattering speckle pattern becomes unstable and exhibits spontaneous fluctuations even in the absence of scatterer motion. The instability is due to a distributed feedback in the system "coherent wave + nonlinear disordered medium". The feedback is provided by the multiple scattering. The development of instability is independent of the sign of nonlinearity.Comment: RevTeX, 15 pages (including 5 figures), accepted for publication in Phys. Rev.