This article describes the problems and possible solutions for optimization of medical images storing, providing stable and secure access, based on the distributed warehouse for huge volumes of data with different lev...
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ISBN:
(纸本)9783319668369;9783319668352
This article describes the problems and possible solutions for optimization of medical images storing, providing stable and secure access, based on the distributed warehouse for huge volumes of data with different levels of access providing. The standard for working with medical images is the DICOM format, which allows storing images in good quality. The main problem of data storing in DICOM format is caused by the fact that one investigation can has more than one-gigabyte volume of data and consist of thousands of images. In Moldova in 2015 was launched "DICOM Network" project, whose goal is to provide access to investigations for medical staff with the appropriate access rights, as well as to patients to their personal radiography investigations. Now the system collects and processing more than 500 gigabytes of data every month. In the article, we describe and analyze possible solutions for optimizing data storing and processing workflows.
We present a simple solution for the phase-preserving focusing of Terrain Observation with Progressive Scan (TOPS) Sentinel-1 data. The proposed algorithm focuses each raw data burst independently. In particular, afte...
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ISBN:
(纸本)9781509049516
We present a simple solution for the phase-preserving focusing of Terrain Observation with Progressive Scan (TOPS) Sentinel-1 data. The proposed algorithm focuses each raw data burst independently. In particular, after a conventional range data compression, it is based on a modification of the two-step processing approach formerly developed to focus spotlight and hybrid stripmap/spotlight SAR data. The presented results relevant to a real Sentinel-1 data acquired over central Italy confirm the effectiveness of the proposed approach.
Satellite remote sensing is a universal tool to investigate the different areas of Earth and environmental sciences. The advancement of the implementation capabilities of the optoelectronic devices which are long-term...
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ISBN:
(纸本)9781628413083
Satellite remote sensing is a universal tool to investigate the different areas of Earth and environmental sciences. The advancement of the implementation capabilities of the optoelectronic devices which are long-term-tested in the laboratory and the field and are mounted on-board of the remote sensing platforms further improves the capability of instruments to acquire information about the Earth and its resources in global, regional and local scales. With the start of new high-spatial and spectral resolution satellite and aircraft imagery new applications for large-scale mapping and monitoring becomes possible. The integration with Geographic Information Systems (GIS) allows a synergistic processing of the multi-source spatial and spectral data. Here we present the results of a joint project DFNI I01/8 funded by the Bulgarian Science Fund focused on the algorithms of the preprocessing and the processing spectral data by using the methods of the corrections and of the visual and automatic interpretation. The objects of this study are lineaments. The lineaments are basically the line features on the earth's surface which are a sign of the geological structures. The geological lineaments usually appear on the multispectral images like lines or edges or linear shapes which is the result of the color variations of the surface structures. The basic geometry of a line is orientation, length and curve. The detection of the geological lineaments is an important operation in the exploration for mineral deposits, in the investigation of active fault patterns, in the prospecting of water resources, in the protecting people, etc. In this study the integrated approach for the detecting of the lineaments is applied. It combines together the methods of the visual interpretation of various geological and geographical indications in the multispectral satellite images, the application of the spatial analysis in GIS and the automatic processing of the multispectral images by Canny alg
The Spectral Airglow Temperature Imager (SATI) instrument registers airglow coming from an annular mesopause segment. The temperatures of various points of this segment are retrieved by sectors of the registered image...
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The Spectral Airglow Temperature Imager (SATI) instrument registers airglow coming from an annular mesopause segment. The temperatures of various points of this segment are retrieved by sectors of the registered images containing spectral information. A stage of SATI spectrogram processing connected with deriving spectral information from images and the determination of the rotational temperature of oxygen molecules emitting at the altitude of the mesopause is considered. A "moving sector" approach for sector spectra calculation is proposed. Typical for this approach is the possibility for varying the number of calculated sector spectra from one image and the sector angle. The sector angle may be selected depending on the quality features of the images. Two versions, one based on averaging and a second - based on finding the median of the values of all pixels at equal distance from the image center are developed. The determination of a mean temperature based on a whole image mean spectrum is considered as a potential source of systematic and gross errors. A determination of the mean temperature by averaging sector temperatures is proposed. Applying criteria for evaluating the usability of sector temperatures based on azimuthal distribution of sector errors, emission intensities and backgrounds is possible. The moving sector approach is useful with the possibility for a detailed visual evaluation of the azimuthal distribution of retrieved sector variables rotational temperature, emission rate, background and error. (c) 2012 COSPAR. Published by Elsevier Ltd. All rights reserved.
Human beings seem to be able to recognize emotions from speech very well and information communication technology aims to implement machines and agents that can do the same. However, to be able to automatically recogn...
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Human beings seem to be able to recognize emotions from speech very well and information communication technology aims to implement machines and agents that can do the same. However, to be able to automatically recognize affective states from speech signals, it is necessary to solve two main technological problems. The former concerns the identification of effective and efficient processing algorithms capable of capturing emotional acoustic features from speech sentences. The latter focuses on finding computational models able to classify, with an approximation as good as human listeners, a given set of emotional states. This paper will survey these topics and provide some insights for a holistic approach to the automatic analysis, recognition and synthesis of affective states.
The Spectral Airglow Temperature Imager is an instrument for ground-based spectroscopic measurements of the night-glow atmosphere emissions. This instrument was developed specially for gravity wave investigation. The ...
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The Spectral Airglow Temperature Imager is an instrument for ground-based spectroscopic measurements of the night-glow atmosphere emissions. This instrument was developed specially for gravity wave investigation. The measured airglow spectra are matched to synthetic spectra calculated in advance for determination of the temperature in the mesopause region where the radiation maximum of some O-2 emissions is situated. The synthetic spectra are transformed into a format which corresponds to the measured spectra in order to be matched. This transformation is based on the known values of the refractive index and the central wavelength of the interference filter used. A substantial part of the processing algorithms of the SATI images is connected with determination of these two filter parameters. The results of the original and newly-proposed algorithms for filter parameter calculation and their importance for the final results for temperature determination on the basis of the O-2 (864-868 nm) emission measurements are presented. Considerable systematic differences (similar to 20 K) between temperatures at different points in the mesopause retrieved by the two algorithms are established. The advantage of the proposed algorithm over the original one is illustrated by retrieved rotational temperatures and by lower error values. Furthermore, the irregular errors in the nocturnal variation of the temperature retrieved by the original algorithm are absent when the proposed approach is applied. The error investigation in the calculations and the stability of the individual components of the processing algorithms and the calculation models may be helpful in achieving better results and enhancing the potentialities of the SATI instrument. (C) 2011 COSPAR. Published by Elsevier Ltd. All rights reserved.
Temporal envelope (TE) cues provide a great deal of speech information. This paper explores how spectral subtraction and dynamic-range compression gain modifications affect TE fluctuations for parallel and series conf...
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Temporal envelope (TE) cues provide a great deal of speech information. This paper explores how spectral subtraction and dynamic-range compression gain modifications affect TE fluctuations for parallel and series configurations. In parallel processing, algorithms compute gains based on the same input signal, and the gains in dB are summed. In series processing, output from the first algorithm forms the input to the second algorithm. Acoustic measurements show that the parallel arrangement produces more gain fluctuations, introducing more changes to the TE than the series configurations. Intelligibility tests for normal-hearing (NH) and hearing-impaired (HI) listeners show (1) parallel processing gives significantly poorer speech understanding than an unprocessed (UNP) signal and the series arrangement and (2) series processing and UNP yield similar results. Speech quality tests show that UNP is preferred to both parallel and series arrangements, although spectral subtraction is the most preferred. No significant differences exist in sound quality between the series and parallel arrangements, or between the NH group and the HI group. These results indicate that gain modifications affect intelligibility and sound quality differently. Listeners appear to have a higher tolerance for gain modifications with regard to intelligibility, while judgments for sound quality appear to be more affected by smaller amounts of gain modification. Copyright (C) 2009 Melinda C. Anderson et al.
The use of television devices for measuring geometric parameters of pipes using several television cameras set up at fixed distances in space is considered. The method provided is based on automatic calibration and pr...
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The use of television devices for measuring geometric parameters of pipes using several television cameras set up at fixed distances in space is considered. The method provided is based on automatic calibration and processing algorithms providing independence of measurement results from the distance to an object and its movement in space.
As the number of ground-based and space-based receivers tracking the Global Positioning System (GPS) satellites steadily increases, it is becoming possible to monitor changes in the ionosphere continuously and on a gl...
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As the number of ground-based and space-based receivers tracking the Global Positioning System (GPS) satellites steadily increases, it is becoming possible to monitor changes in the ionosphere continuously and on a global scale with unprecedented accuracy and reliability. As of August 2005, there are more than 1000 globally distributed dual-frequency GPS receivers available using publicly accessible networks including, for example, the International GPS Service and the continuously operating reference stations. To take advantage of the vast amount of GPS data, researchers use a number of techniques to estimate satellite and receiver interfrequency biases and the total electron content (TEC) of the ionosphere. Most techniques estimate vertical ionospheric structure and, simultaneously, hardware-related biases treated as nuisance parameters. These methods often are limited to 200 GPS receivers and use a sequential least squares or Kalman filter approach. The biases are later removed from the measurements to obtain unbiased TEC. In our approach to calibrating GPS receiver and transmitter interfrequency biases we take advantage of all available GPS receivers using a new processing algorithm based on the Global Ionospheric Mapping (GIM) software developed at the Jet Propulsion Laboratory. This new capability is designed to estimate receiver biases for all stations. We solve for the instrumental biases by modeling the ionospheric delay and removing it from the observation equation using precomputed GIM maps. The precomputed GIM maps rely on 200 globally distributed GPS receivers to establish the "background'' used to model the ionosphere at the remaining 800 GPS sites.
There is a tremendous need for space-qualified high-performance processing hardware. This need is being driven by increased sensor data rates in systems with limited downlink capacity, and a desire for autonomous oper...
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ISBN:
(纸本)0780381556
There is a tremendous need for space-qualified high-performance processing hardware. This need is being driven by increased sensor data rates in systems with limited downlink capacity, and a desire for autonomous operation. Traditional processing elements such as ASICs and sequential processors are less than ideal for highperformance processing. SRAM-based FPGAs offer the highest processing performance available in a flexible, reprogrammable, and low risk space-qualified device. However, use of SRAM-based FPGAs in space applications can also be challenging. This paper discusses the design of FPGA-based ReConfigurable Computing (RCC) hardware for space. It discusses the processing capability of the given architecture, and gives performance metrics for typical applications. Radiation effect mitigation techniques are discussed, and upset rates are given for different levels of mitigation. Finally, the development cycle for typical applications is addressed, including an overview of the tools that are available to implement processing algorithms and upset mitigation techniques.
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