WorldWideScience

Sample records for sar process training

  1. The integration of Human Factors (HF) in the SAR process training course text

    Energy Technology Data Exchange (ETDEWEB)

    Ryan, T.G.

    1995-03-01

    This text provides the technical basis for a two-day course on human factors (HF), as applied to the Safety Analysis Report (SAR) process. The overall objective of this text and course is to: provide the participant with a working knowledge of human factors-related requirements, suggestions for doing a human safety analysis applying a graded approach, and an ability to demonstrate using the results of the human safety analysis, that human factors elements as defined by DOE (human factors engineering, procedures, training, oversight, staffing, qualifications), can support wherever necessary, nuclear safety commitments in the SAR. More specifically, the objectives of the text and course are: (1) To provide the SAR preparer with general guidelines for doing HE within the context of a graded approach for the SAR; (2) To sensitize DOE facility managers and staff, safety analysts and SAR preparers, independent reviewers, and DOE reviewers and regulators, to DOE Order 5480.23 requirements for HE in the SAR; (3) To provide managers, analysts, reviewers and regulators with a working knowledge of HE concepts and techniques within the context of a graded approach for the SAR, and (4) To provide SAR managers and DOE reviewers and regulators with general guidelines for monitoring and coordinating the work of preparers of HE inputs throughout the SAR process, and for making decisions regarding the safety relevance of HE inputs to the SAR. As a ready reference for implementing the human factors requirements of DOE Order 5480.22 and DOE Standard 3009-94, this course text and accompanying two-day course are intended for all persons who are involved in the SAR.

  2. Bistatic sAR data processing algorithms

    CERN Document Server

    Qiu, Xiaolan; Hu, Donghui

    2013-01-01

    Synthetic Aperture Radar (SAR) is critical for remote sensing. It works day and night, in good weather or bad. Bistatic SAR is a new kind of SAR system, where the transmitter and receiver are placed on two separate platforms. Bistatic SAR is one of the most important trends in SAR development, as the technology renders SAR more flexible and safer when used in military environments. Imaging is one of the most difficult and important aspects of bistatic SAR data processing. Although traditional SAR signal processing is fully developed, bistatic SAR has a more complex system structure, so sign

  3. Squint mode SAR processing algorithms

    Science.gov (United States)

    Chang, C. Y.; Jin, M.; Curlander, J. C.

    1989-01-01

    The unique characteristics of a spaceborne SAR (synthetic aperture radar) operating in a squint mode include large range walk and large variation in the Doppler centroid as a function of range. A pointing control technique to reduce the Doppler drift and a new processing algorithm to accommodate large range walk are presented. Simulations of the new algorithm for squint angles up to 20 deg and look angles up to 44 deg for the Earth Observing System (Eos) L-band SAR configuration demonstrate that it is capable of maintaining the resolution broadening within 20 percent and the ISLR within a fraction of a decibel of the theoretical value.

  4. SAR Systems and Related Signal Processing

    NARCIS (Netherlands)

    Hoogeboom, P.; Dekker, R.J.; Otten, M.P.G.

    1996-01-01

    Synthetic Aperture Radar (SAR) is today a valuable source of remote sensing information. SAR is a side-looking imaging radar and operates from airborne and spacebome platforms. Coverage, resolution and image quality are strongly influenced by the platform. SAR processing can be performed on standard

  5. Real-time brute force SAR processing

    NARCIS (Netherlands)

    Vlothuizen, W.J.; Ditzel, M.

    2009-01-01

    This paper presents a brute force method to perform real-time SAR processing. The method has several advantages over traditional so-called fast SAR implementations, as it does not make any approximations to alleviate the processing burden. However, the method does allow efficient implementation on

  6. Signal processing for FMCW SAR

    NARCIS (Netherlands)

    Meta, A.; Hoogeboom, P.; Ligthart, L.P.

    2007-01-01

    The combination of frequency-modulated continuous-wave (FMCW) technology and synthetic aperture radar (SAR) techniques leads to lightweight cost-effective imaging sensors of high resolution. One limiting factor to the use of FMCW sensors is the well-known presence of nonlinearities in the

  7. Accelerated Scientific InSAR Processing Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Neva Ridge Technologies proposes to develop a suite of software tools for the analysis of SAR and InSAR data, focused on having a robust and adopted capability well...

  8. A 3-D SAR approach to IFSAR processing

    Energy Technology Data Exchange (ETDEWEB)

    DOERRY,ARMIN W.; BICKEL,DOUGLAS L.

    2000-03-01

    Interferometric SAR (IFSAR) can be shown to be a special case of 3-D SAR image formation. In fact, traditional IFSAR processing results in the equivalent of merely a super-resolved, under-sampled, 3-D SAR image. However, when approached as a 3-D SAR problem, a number of IFSAR properties and anomalies are easily explained. For example, IFSAR decorrelation with height is merely ordinary migration in 3-D SAR. Consequently, treating IFSAR as a 3-D SAR problem allows insight and development of proper motion compensation techniques and image formation operations to facilitate optimal height estimation. Furthermore, multiple antenna phase centers and baselines are easily incorporated into this formulation, providing essentially a sparse array in the elevation dimension. This paper shows the Polar Format image formation algorithm extended to 3 dimensions, and then proceeds to apply it to the IFSAR collection geometry. This suggests a more optimal reordering of the traditional IFSAR processing steps.

  9. An Efficient Algorithm to Processing SAR Data on GPU

    Directory of Open Access Journals (Sweden)

    Meng Da-di

    2013-06-01

    Full Text Available Data processing is a time-consuming matter in the field of Synthetic Aperture Radar (SAR. In other ways, Graphic Processing Unit (GPU have tremendous float-point computational horsepower and very high memory bandwidth, and the developing Compute Unified Device Architecture (CUDA technology has enabled the GPU to be applied to the general purpose parallel computing. A new method of processing SAR data on GPU is presented in this paper. Compared with the nominal GPU based SAR processing method, number of data transfers between CPU/GPU are reduced from 4 to 1, and CPUs are exploited to cooperate with GPU synchronously. By the proposed method, data Processing is speeded up by 2.3 times, which is verified by the testing on the simulated SAR data.

  10. InSAR processing for the recognition of landslides

    Directory of Open Access Journals (Sweden)

    B. Riedel

    2008-01-01

    Full Text Available Synthetic Aperture Radar Interferometry (InSAR is an established method for the detection and monitoring of earth surface processes. This approach has been most successful where the observed area fulfills specific requirements, such as sufficient backscattering, flat slope gradients or very slow changes of vegetation. We investigated the capability of two different InSAR techniques and achieved good results for the recognition of landslides in China and Greece that compared well with geodetic derived movement rates. This demonstrates the strong potential of SAR Interferometry for the detection of landslides and earth surface movements.

  11. High Resolution Processing with an Active Phased Array SAR

    NARCIS (Netherlands)

    Nijenboer, F.J.; Otten, M.P.G.

    1999-01-01

    The Dutch PHARUS system is a polarimetric active phased array SAR capable of performing advanced SAR modes. Advanced SAR modes that are being investigated are: spotlight SAR, sliding spotlight SAR, stepped frequency SAR and interferometric SAR. The flight experiments and automatic beam steering

  12. SAR image enhancement via post-correlation signal processing

    Science.gov (United States)

    Matthews, N. D.; Kaupp, V. H.; Waite, W. P.; Macdonald, H. C.

    1984-01-01

    Seventeen interpreters ranked sets of computer-generated radar imagery to assess the value of post-correlation processing on the interpretability of SAR (synthetic aperture radar) imagery. The post-correlation processing evaluated amounts to a nonlinear mapping of the signal exiting a digital correlator and allows full use of signal bandwidth for improving the spatial resolution or for noise reduction. The results indicate that it is reasonable to hypothesize an optimal SAR presentation format for specific applications even though this study was too limited to be specific.

  13. Picture processing of SAR L-band imagery

    Science.gov (United States)

    Bryan, M. L.; Stromberg, W. D.; Farr, T.

    1977-01-01

    Data digitization and thresholding are applied to two scenes - sea ice and fresh-water lakes - to define the possible uses of automatic picture processing of uncalibrated SAR L-band imagery. It is shown that certain types of features, those which have constant returns which are also very high or very low in intensity can be effectively studied using simple automatic picture processing techniques applied to uncalibrated radar data. In areas which are generally inaccessible or in which monitoring of the changes of some types of earth surfaces are required, the uncalibrated SAR data can provide valuable inputs for modeling and mapping purposes.

  14. ISCE: A Modular, Reusable Library for Scalable SAR/InSAR Processing

    Science.gov (United States)

    Agram, P. S.; Lavalle, M.; Gurrola, E. M.; Sacco, G. F.; Rosen, P. A.

    2016-12-01

    Traditional community SAR/InSAR processing software tools have primarily focused on differential interferometry and Solid Earth applications. The InSAR Scientific Computing Environment (ISCE) was specifically designed to support the Earth Sciences user community as well as large scale operational processing tasks, thanks to its two-layered (Python+C/Fortran) architecture and modular framework. ISCE is freely distributed as a source tarball, allowing advanced users to modify and extend it for their research purposes and developing exploratory applications, while providing a relatively simple user interface for novice users to perform routine data analysis efficiently. Modular design of the ISCE library also enables easier development of applications to address the needs of Ecosystems, Cryosphere and Disaster Response communities in addition to the traditional Solid Earth applications. In this talk, we would like to emphasize the broader purview of the ISCE library and some of its unique features that sets it apart from other freely available community software like GMTSAR and DORIS, including: Support for multiple geometry regimes - Native Doppler (ALOS-1) as well Zero Doppler (ESA missions) systems. Support for data acquired by airborne platforms - e.g, JPL's UAVSAR and AirMOSS, DLR's F-SAR. Radiometric Terrain Correction - Auxiliary output layers from the geometry modules include projection angles, incidence angles, shadow-layover masks. Dense pixel offsets - Parallelized amplitude cross correlation for cryosphere / ionospheric correction applications. Rubber sheeting - Pixel-by-pixel offsets fields for resampling slave imagery for geometric co-registration/ ionospheric corrections. Preliminary Tandem-X processing support - Bistatic geometry modules. Extensibility to support other non-Solid Earth missions - Modules can be directly adopted for use with other SAR missions, e.g., SWOT. Preliminary support for multi-dimensional data products- multi-polarization, multi

  15. Training Convolutional Neural Networks for Translational Invariance on SAR ATR

    DEFF Research Database (Denmark)

    Malmgren-Hansen, David; Engholm, Rasmus; Østergaard Pedersen, Morten

    2016-01-01

    In this paper we present a comparison of the robustness of Convolutional Neural Networks (CNN) to other classifiers in the presence of uncertainty of the objects localization in SAR image. We present a framework for simulating simple SAR images, translating the object of interest systematically...

  16. Open Foris SAR Toolkit-Free and Open Source Command Line Utilities for Automatized SAR Data Pre-Processing

    Science.gov (United States)

    Vollrath, Andreas; Lindquist, Erik; Jonckheere, Inge; Pekkarinen, Anssi

    2016-08-01

    In this paper, we present the Open Foris SAR Toolkit (OFST). OFST is a set of command line tools that focus on the automation for the (pre-) processing of Synthetic Aperture Radar (SAR) data in order to obtain higher level data products that are ready-to-use for classification and related subsequent tasks. For the actual SAR processing steps it uses the algorithms implemented in the Sentinel Applications Platform (SNAP) provided by ESA. Since the provision is free and open and no prior knowledge on SAR processing is necessary, we presume that the tools can help to enlarge the uptake of SAR data by non-experts. Furthermore, the high degree of automation makes it easy to integrate the tools into web-based processing services that can deal with the resource demanding handling of the imagery. By now the tools support the (pre-) processing of ALOS PALSAR and Sentinel-1 data. Some examples from large-area wall-to-wall mapping show that despite the complexity of SAR processing it is possible to automatically retrieve useful datasets for different applications.

  17. Unsupervised SBAS-DInSAR Processing of Space-borne SAR data for Earth Surface Displacement Time Series Generation

    Science.gov (United States)

    Casu, F.; de Luca, C.; Lanari, R.; Manunta, M.; Zinno, I.

    2016-12-01

    During the last 25 years, the Differential Synthetic Aperture Radar Interferometry (DInSAR) has played an important role for understanding the Earth's surface deformation and its dynamics. In particular, the large collections of SAR data acquired by a number of space-borne missions (ERS, ENVISAT, ALOS, RADARSAT, TerraSAR-X, COSMO-SkyMed) have pushed toward the development of advanced DInSAR techniques for monitoring the temporal evolution of the ground displacements with an high spatial density. Moreover, the advent of the Copernicus Sentinel-1 (S1) constellation is providing a further increase in the SAR data flow available to the Earth science community, due to its characteristics of global coverage strategy and free and open access data policy. Therefore, managing and storing such a huge amount of data, processing it in an effcient way and maximizing the available archives exploitation are becoming high priority issues. In this work we present some recent advances in the DInSAR field for dealing with the effective exploitation of the present and future SAR data archives. In particular, an efficient parallel SBAS implementation (namely P-SBAS) that takes benefit from high performance computing is proposed. Then, the P-SBAS migration to the emerging Cloud Computing paradigm is shown, together with extensive tests carried out in the Amazon's Elastic Cloud Compute (EC2) infrastructure. Finally, the integration of the P-SBAS processing chain within the ESA Geohazards Exploitation Platform (GEP), for setting up operational on-demand and systematic web tools, open to every user, aimed at automatically processing stacks of SAR data for the generation of SBAS displacement time series, is also illustrated. A number of experimental results obtained by using the ERS, ENVISAT and S1 data in areas characterized by volcanic, seismic and anthropogenic phenomena will be shown. This work is partially supported by: the DPC-CNR agreement, the EPOS-IP project and the ESA GEP project.

  18. The InSAR Scientific Computing Environment (ISCE): An Earth Science SAR Processing Framework, Toolbox, and Foundry

    Science.gov (United States)

    Agram, P. S.; Gurrola, E. M.; Lavalle, M.; Sacco, G. F.; Rosen, P. A.

    2016-12-01

    The InSAR Scientific Computing Environment (ISCE) provides both a modular, flexible, and extensible framework for building software components and applications that work together seamlessly as well as a toolbox for processing InSAR data into higher level geodetic image products from a diverse array of radar satellites and aircraft. ISCE easily scales to serve as the SAR processing engine at the core of the NASA JPL Advanced Rapid Imaging and Analysis (ARIA) Center for Natural Hazards as well as a software toolbox for individual scientists working with SAR data. ISCE is planned as the foundational element in processing NISAR data, enabling a new class of analyses that take greater advantage of the long time and large spatial scales of these data. ISCE in ARIA is also a SAR Foundry for development of new processing components and workflows to meet the needs of both large processing centers and individual users. The ISCE framework contains object-oriented Python components layered to construct Python InSAR components that manage legacy Fortran/C InSAR programs. The Python user interface enables both command-line deployment of workflows as well as an interactive "sand box" (the Python interpreter) where scientists can "play" with the data. Recent developments in ISCE include the addition of components to ingest Sentinel-1A SAR data (both stripmap and TOPS-mode) and a new workflow for processing the TOPS-mode data. New components are being developed to exploit polarimetric-SAR data to provide the ecosystem and land-cover/land-use change communities with rigorous and efficient tools to perform multi-temporal, polarimetric and tomographic analyses in order to generate calibrated, geocoded and mosaicked Level-2 and Level-3 products (e.g., maps of above-ground biomass or forest disturbance). ISCE has been downloaded by over 200 users by a license for WinSAR members through the Unavco.org website. Others may apply directly to JPL for a license at download.jpl.nasa.gov.

  19. Signal Processing for High Resolution FMCW SAR and Moving Target

    NARCIS (Netherlands)

    Meta, A.; Hoogeboom, P.

    2005-01-01

    The combination of Frequency Modulated ContinuousWave (FMCW) technology and Synthetic Aperture Radar (SAR) leads to lightweight, cost-effective imaging sensors of high resolution. In FMCW SAR applications the conventional stop-and-go approximation used in pulse radar algorithms cannot be considered

  20. Alaska Satellite Facility ASF5 SAR Data Processing System Overview

    Science.gov (United States)

    Leung, K.; Cuddy, D.; Chen, M.

    1994-01-01

    The Alaska SAR Facility (ASF) situated at the University of Alaska Fairbanks (UAF) is currently undergoing an extensive development effort to increase its capabilities in handling new sensors and in the areas of throughput, data handling, archive, and distribution [15].

  1. Human factors engineering checklists for application in the SAR process

    Energy Technology Data Exchange (ETDEWEB)

    Overlin, T.K.; Romero, H.A.; Ryan, T.G.

    1995-03-01

    This technical report was produced to assist the preparers and reviewers of the human factors portions of the SAR in completing their assigned tasks regarding analysis and/or review of completed analyses. The checklists, which are the main body of the report, and the subsequent tables, were developed to assist analysts in generating the needed analysis data to complete the human engineering analysis for the SAR. The technical report provides a series of 19 human factors engineering (HFE) checklists which support the safety analyses of the US Department of Energy`s (DOE) reactor and nonreactor facilities and activities. The results generated using these checklists and in the preparation of the concluding analyses provide the technical basis for preparing the human factors chapter, and subsequent inputs to other chapters, required by DOE as a part of the safety analysis reports (SARs). This document is divided into four main sections. The first part explains the origin of the checklists, the sources utilized, and other information pertaining to the purpose and scope of the report. The second part, subdivided into 19 sections, is the checklists themselves. The third section is the glossary which defines terms that could either be unfamiliar or have specific meanings within the context of these checklists. The final section is the subject index in which the glossary terms are referenced back to the specific checklist and page the term is encountered.

  2. SAR processing in the cloud for oil detection in the Arctic

    Science.gov (United States)

    Garron, J.; Stoner, C.; Meyer, F. J.

    2016-12-01

    A new world of opportunity is being thawed from the ice of the Arctic, driven by decreased persistent Arctic sea-ice cover, increases in shipping, tourism, natural resource development. Tools that can automatically monitor key sea ice characteristics and potential oil spills are essential for safe passage in these changing waters. Synthetic aperture radar (SAR) data can be used to discriminate sea ice types and oil on the ocean surface and also for feature tracking. Additionally, SAR can image the earth through the night and most weather conditions. SAR data is volumetrically large and requires significant computing power to manipulate. Algorithms designed to identify key environmental features, like oil spills, in SAR imagery require secondary processing, and are computationally intensive, which can functionally limit their application in a real-time setting. Cloud processing is designed to manage big data and big data processing jobs by means of small cycles of off-site computations, eliminating up-front hardware costs. Pairing SAR data with cloud processing has allowed us to create and solidify a processing pipeline for SAR data products in the cloud to compare operational algorithms efficiency and effectiveness when run using an Alaska Satellite Facility (ASF) defined Amazon Machine Image (AMI). The products created from this secondary processing, were compared to determine which algorithm was most accurate in Arctic feature identification, and what operational conditions were required to produce the results on the ASF defined AMI. Results will be used to inform a series of recommendations to oil-spill response data managers and SAR users interested in expanding their analytical computing power.

  3. The SARVIEWS Project: Automated SAR Processing in Support of Operational Near Real-time Volcano Monitoring

    Science.gov (United States)

    Meyer, F. J.; Webley, P. W.; Dehn, J.; Arko, S. A.; McAlpin, D. B.; Gong, W.

    2016-12-01

    Volcanic eruptions are among the most significant hazards to human society, capable of triggering natural disasters on regional to global scales. In the last decade, remote sensing has become established in operational volcano monitoring. Centers like the Alaska Volcano Observatory rely heavily on remote sensing data from optical and thermal sensors to provide time-critical hazard information. Despite this high use of remote sensing data, the presence of clouds and a dependence on solar illumination often limit their impact on decision making. Synthetic Aperture Radar (SAR) systems are widely considered superior to optical sensors in operational monitoring situations, due to their weather and illumination independence. Still, the contribution of SAR to operational volcano monitoring has been limited in the past due to high data costs, long processing times, and low temporal sampling rates of most SAR systems. In this study, we introduce the automatic SAR processing system SARVIEWS, whose advanced data analysis and data integration techniques allow, for the first time, a meaningful integration of SAR into operational monitoring systems. We will introduce the SARVIEWS database interface that allows for automatic, rapid, and seamless access to the data holdings of the Alaska Satellite Facility. We will also present a set of processing techniques designed to automatically generate a set of SAR-based hazard products (e.g. change detection maps, interferograms, geocoded images). The techniques take advantage of modern signal processing and radiometric normalization schemes, enabling the combination of data from different geometries. Finally, we will show how SAR-based hazard information is integrated in existing multi-sensor decision support tools to enable joint hazard analysis with data from optical and thermal sensors. We will showcase the SAR processing system using a set of recent natural disasters (both earthquakes and volcanic eruptions) to demonstrate its

  4. The Utility of SAR to Monitor Ocean Processes.

    Science.gov (United States)

    1981-11-01

    parameters a2 and y were then estimated by applying a least-squares fit of the SAR measured power and the surface measured winds. The surface winds used...1354, 1974. Apel, J.R., H.M. Byrne, J.R. Proni and R.L. Charnell, Observations of Oceanic Internal and Surface Waves from the Earth Resources Tech...significantly from the surface slope spectrum. The radar-derived mean directions and model- fitted direc- tional spreads of wave energy were close to the values

  5. Enhanced SAR data processing for land instability forecast.

    Science.gov (United States)

    Argentiero, Ilenia; Pellicani, Roberta; Spilotro, Giuseppe; Parisi, Alessandro; Bovenga, Fabio; Pasquariello, Guido; Refice, Alberto; Nutricato, Raffaele; Nitti, Davide Oscar; Chiaradia, Maria Teresa

    2017-04-01

    Monitoring represents the main tool for carrying out evaluation procedures and criteria for spatial and temporal landslide forecast. The forecast of landslide behaviour depends on the possibility to identify either evidences of activity (displacement, velocity, volume of unstable mass, direction of displacement, and their temporal variation) or triggering parameters (rainfalls). Generally, traditional geotechnical landslide monitoring technologies permit to define, if correctly positioned and with adequate accuracy, the critical value of displacement and/or acceleration into landslide body. In most cases, they do not allow real time warning signs to be generated, due to environmental induced errors, and the information is related to few points on unstable area. Remote-sensing monitoring instruments are capable of inspecting an unstable slope with high spatial and temporal frequency, but allow solely measurements of superficial displacements and deformations. Among these latest technologies, the satellite Persistent Scatterer SAR Interferometry (PSInSAR) is very useful to investigate the unstable area both in terms of space and time. Indeed, this technique allows to analyse wide areas, individuate critical unstable areas, not identifiable by means detailed in situ surveys, and study the phenomenon evolution in a long time-scale. Although this technique usually adopts, as first approximation, a linear model to describe the displacement of the detected targets, also non-linear models can be used. However, the satellite revisit time, which defines the time sampling of the detected displacement signal, limits the maximum measurable velocity and acceleration. This makes it difficult to assess in the short time any acceleration indicating a loss of equilibrium and, therefore, a probable reactivation of the landslide. The recent Sentinel-1 mission from the European Space Agency (ESA), provides a spatial resolution comparable to the previous ESA missions, but a nominal

  6. Antiparallel Aspects of Airborne Dual-antenna InSAR Data Processing and Analysis

    Directory of Open Access Journals (Sweden)

    Li Fang-fang

    2015-02-01

    Full Text Available Interferometric Synthetic Aperture Radar (InSAR is a powerful technique for precise topographic mapping. However, owing to the side-looking SAR imaging geometry, geometry distortions appear in mountainous scenarios. Because of phase discontinuities or the absence of a valid phase, it is difficult to recover accurate DEM in such areas with single-aspect InSAR data. Fusion of two or more different aspects of InSAR data can deal with this problem in practice. Experiments using two antiparallel aspects of airborne InSAR data are carried out based on this idea. To decrease the processing error in single-aspect data and fuse them seamlessly, a MOtion COmpensation (MOCO method using iterative DEM is used to reduce the MOCO error. Besides, phase-unwrapping methods based on terrain characteristics are proposed to avoid phase-unwrapping error owing to phase discontinuities in areas of shadow and layover. Experimental results verify the effectiveness of the processing methods.

  7. Knowledge-Aided Multichannel Adaptive SAR/GMTI Processing: Algorithm and Experimental Results

    Directory of Open Access Journals (Sweden)

    Wu Di

    2010-01-01

    Full Text Available The multichannel synthetic aperture radar ground moving target indication (SAR/GMTI technique is a simplified implementation of space-time adaptive processing (STAP, which has been proved to be feasible in the past decades. However, its detection performance will be degraded in heterogeneous environments due to the rapidly varying clutter characteristics. Knowledge-aided (KA STAP provides an effective way to deal with the nonstationary problem in real-world clutter environment. Based on the KA STAP methods, this paper proposes a KA algorithm for adaptive SAR/GMTI processing in heterogeneous environments. It reduces sample support by its fast convergence properties and shows robust to non-stationary clutter distribution relative to the traditional adaptive SAR/GMTI scheme. Experimental clutter suppression results are employed to verify the virtue of this algorithm.

  8. Investigation on Processing Scheme for MIMO SAR with STSO Chirp Waveforms

    Directory of Open Access Journals (Sweden)

    Ye Kai

    2017-08-01

    Full Text Available This study presents a novel processing scheme for Multiple-Input Multiple-Output (MIMO Synthetic Aperture Radar (SAR system with Short-Term Shift-Orthogonal (STSO chirp waveforms to enhance its highresolution wide-swath mapping capability. Taking advantage of multi-beam digital beamforming techniques in elevation, the STSO chirp waveforms can be efficiently separated from mixed echo signals. According to the geometry model and the antenna architecture of MIMO SAR system, the modified multichannel reconstruction matrix is used to reconstruct the separated signals in azimuth. In addition, the reconstruction data can be imaged via conventional SAR algorithm. Simulation experiments are conducted on both point targets and distributed targets, the results of which indicate that the proposed scheme can effectively suppress the mutual interferences between the STSO waveforms and that it has good imaging performance.

  9. Pre-processing SAR image stream to facilitate compression for transport on bandwidth-limited-link

    Science.gov (United States)

    Rush, Bobby G.; Riley, Robert

    2015-09-29

    Pre-processing is applied to a raw VideoSAR (or similar near-video rate) product to transform the image frame sequence into a product that resembles more closely the type of product for which conventional video codecs are designed, while sufficiently maintaining utility and visual quality of the product delivered by the codec.

  10. INFORMATIONAL APPROACH ON TRAINING PROCESS

    Directory of Open Access Journals (Sweden)

    Šemsudin Plojović

    2006-06-01

    Full Text Available Information technology is very important part in training process. Training process is always in innovation and assembling faze, especially at those that want to compete on international level. In that surrounding training process, as the trainers also, must be transformed. Great deal of information must be reliable for headquarter for optimal training process. Informational approach on training process, subject of this research, represent informational technologies and information systems with all aspects an possibilities of applications in sport. Information technology, information system and its application in sport in last decade is developed very fast in last decade. Computer is used, not only for data process, but also for making decisions. That is the key moment changing the basics of information system, especially the role of information system in training process. To define key words connected for information systems in sport we will start from characteristics of information, exchanging in this relations: man to man, machine to machine, man to machine, and opposite, machine to man. According to this we need to make the difference between data and information. In this research we talk about concrete application of information technology and information system as the backup of training process. Behind practical application of IT in sport, that is the main issue of this work, stands the marvelous results of athletes from AK Novi Pazar. Azra Eminovic, Edin Zukovic, Muamer Hasanovic, Emir Koca and Senadin Plojovic, they’ve achieved great results with information back up of training process.

  11. Operational SAR Data Processing in GIS Environments for Rapid Disaster Mapping

    Science.gov (United States)

    Bahr, Thomas

    2014-05-01

    The use of SAR data has become increasingly popular in recent years and in a wide array of industries. Having access to SAR can be highly important and critical especially for public safety. Updating a GIS with contemporary information from SAR data allows to deliver a reliable set of geospatial information to advance civilian operations, e.g. search and rescue missions. SAR imaging offers the great advantage, over its optical counterparts, of not being affected by darkness, meteorological conditions such as clouds, fog, etc., or smoke and dust, frequently associated with disaster zones. In this paper we present the operational processing of SAR data within a GIS environment for rapid disaster mapping. For this technique we integrated the SARscape modules for ENVI with ArcGIS®, eliminating the need to switch between software packages. Thereby the premier algorithms for SAR image analysis can be directly accessed from ArcGIS desktop and server environments. They allow processing and analyzing SAR data in almost real time and with minimum user interaction. This is exemplified by the November 2010 flash flood in the Veneto region, Italy. The Bacchiglione River burst its banks on Nov. 2nd after two days of heavy rainfall throughout the northern Italian region. The community of Bovolenta, 22 km SSE of Padova, was covered by several meters of water. People were requested to stay in their homes; several roads, highways sections and railroads had to be closed. The extent of this flooding is documented by a series of Cosmo-SkyMed acquisitions with a GSD of 2.5 m (StripMap mode). Cosmo-SkyMed is a constellation of four Earth observation satellites, allowing a very frequent coverage, which enables monitoring using a very high temporal resolution. This data is processed in ArcGIS using a single-sensor, multi-mode, multi-temporal approach consisting of 3 steps: (1) The single images are filtered with a Gamma DE-MAP filter. (2) The filtered images are geocoded using a reference

  12. Texture Free Radargammetric Processing of Opposite-View TomoSAR Data for DEM Estimation

    Science.gov (United States)

    Banda, Francesco; Tebaldini, Stefano

    2015-05-01

    In this paper we propose a new methodology to estimate the absolute Digital Elevation Model (DEM) of an area by radargammetric-like processing of interferometric multi-baseline SAR data from two opposite-side surveys. Two separate DEMs of the imaged area obtained from the multi-baseline interferometric phase of two opposite-side tomographic SAR views are coregistered, correcting residual baseline errors. This methodology combines the great accuracy of multi-baseline interferometric processing with precise stereo plotting typical of opposite-side radargrammetry, requires no texture matching and no control points and can be applied also in the case of few a-priori information about the site topography.

  13. SAR processing with non-linear FM chirp waveforms.

    Energy Technology Data Exchange (ETDEWEB)

    Doerry, Armin Walter

    2006-12-01

    Nonlinear FM (NLFM) waveforms offer a radar matched filter output with inherently low range sidelobes. This yields a 1-2 dB advantage in Signal-to-Noise Ratio over the output of a Linear FM (LFM) waveform with equivalent sidelobe filtering. This report presents details of processing NLFM waveforms in both range and Doppler dimensions, with special emphasis on compensating intra-pulse Doppler, often cited as a weakness of NLFM waveforms.

  14. Efficient Raw Signal Generation Based on Equivalent Scatterer and Subaperture Processing for SAR with Arbitrary Motion

    Directory of Open Access Journals (Sweden)

    H.T. Xie

    2014-12-01

    Full Text Available An efficient SAR raw signal generation method based on equivalent scatterer and subaperture processing is proposed in this paper. It considers the radar’s motion track, which can obtain the precise raw signal for the real SAR. First, the imaging geometry with arbitrary motion is established, and then the scene is divided into several equidistant rings. Based on the equivalent scatterer model, the approximate expression of the SAR system transfer function is derived, thus each pulse’s raw signal can be generated by the convolution of the transmitted signal and system transfer function, performed by the fast Fourier transform (FFT. To further improve the simulation efficiency, the subaperture and polar subscene processing is used. The system transfer function of pluses for the same subaperture is calculated simultaneously by the weighted sum of all subscenes’ equivalent backscattering coefficient in the same equidistant ring, performed by the nonuniform FFT (NUFFT. The method only involves the FFT, NUFFT and complex multiplication operations, which means the easier implementation and higher efficiency. Simulation results are given to prove the validity of this method.

  15. SAR processing with stepped chirps and phased array antennas.

    Energy Technology Data Exchange (ETDEWEB)

    Doerry, Armin Walter

    2006-09-01

    Wideband radar signals are problematic for phased array antennas. Wideband radar signals can be generated from series or groups of narrow-band signals centered at different frequencies. An equivalent wideband LFM chirp can be assembled from lesser-bandwidth chirp segments in the data processing. The chirp segments can be transmitted as separate narrow-band pulses, each with their own steering phase operation. This overcomes the problematic dilemma of steering wideband chirps with phase shifters alone, that is, without true time-delay elements.

  16. Deep learning for SAR image formation

    Science.gov (United States)

    Mason, Eric; Yonel, Bariscan; Yazici, Birsen

    2017-04-01

    The recent success of deep learning has lead to growing interest in applying these methods to signal processing problems. This paper explores the applications of deep learning to synthetic aperture radar (SAR) image formation. We review deep learning from a perspective relevant to SAR image formation. Our objective is to address SAR image formation in the presence of uncertainties in the SAR forward model. We present a recurrent auto-encoder network architecture based on the iterative shrinkage thresholding algorithm (ISTA) that incorporates SAR modeling. We then present an off-line training method using stochastic gradient descent and discuss the challenges and key steps of learning. Lastly, we show experimentally that our method can be used to form focused images in the presence of phase uncertainties. We demonstrate that the resulting algorithm has faster convergence and decreased reconstruction error than that of ISTA.

  17. Soil moisture estimation using synergy of optical, SAR, and topographic data with Gaussian Process Regression

    Science.gov (United States)

    Stamenkovic, J.; Notarnicola, C.; Spindler, N.; Cuozzo, G.; Bertoldi, G.; Della Chiesa, S.; Niedrist, G.; Greifeneder, F.; Tuia, D.; Borgeaud, M.; Thiran, J.-Ph.

    2014-10-01

    In this work we address the synergy of optical, SAR (Synthetic Aperture Radar) and topographic data in soil moisture retrieval over an Alpine area. As estimation technique, we consider Gaussian Process Regression (GPR). The test area is located in South Tyrol, Italy where the main land types are meadows and pastures. Time series of ASAR Wide Swath - SAR, optical, topographic and ancillary data (meteorological information and snow cover maps) acquired repetitively in 2010 were examined. Regarding optical data, we used both, daily MODIS reflectances, and daily NDVI, interpolated from the 16-day MODIS composite. Slope, elevation and aspect were extracted from a 2.5 m DEM (Digital Elevation Model) and resampled to 10 m. Daily soil moisture measurements were collected in the three fixed stations (two located in meadows and one located in pasture). The snow maps were used to mask the points covered by snow. The best performance was obtained by adding MODIS band 6 at 1640 nm to SAR and DEM features. The corresponding coefficient of determination, R2, was equal to 0.848, and the root mean square error, RMSE, to 5.4 % Vol. Compared to the case when no optical data were considered, there was an increase of ca. 0.05 in R2 and a decrease in RMSE of ca. 0.7 % Vol. This work showed that the joint use of NDVI or water absorption reflectance with SAR and topographic data can improve the estimation of soil moisture in specific Alpine area and that GPR is an effective method for estimation.

  18. LOTUS— Preparing Sentinel-3 Ocean and Land SAR Altimetry Processing for Copernicus

    DEFF Research Database (Denmark)

    Knudsen, Per; Andersen, Ole Baltazar; Jain, Maulik

    2014-01-01

    for commercial activities. The main objectives of the LOTUS project is to prepare the take-up of data from Sentinels 3. In the initial phase, LOTUS will develop processing scheme for extracting high-resolution sea surface heights, wave heights and wind speeds from SAR mode data. Over land, the LOTUS will develop...... processing scheme for extracting high-resolution river and lake heights, soil moisture, and snow water equivalents. This presentation show some preliminary results based on analyses using CRYOSAT data. Furthermore, new DEMO data sets are presented. These data sets facilitate the development of marine...

  19. Characterization of graduate training process

    Directory of Open Access Journals (Sweden)

    Homero Calixto Fuentes-González

    2016-11-01

    Full Text Available This research approaches the Management of Postgraduate Training Process, and the need to strengthen this area with the intention of transforming. Occurred transits can be revealed considering a decontextualized cultural systematization towards a partial contextualization which does not fulfill the professional social demands, allowing developing this training process taking into account the specificity of the socio-cultural assignment which permits to deepen in the development of an authentic proposal in its relationship with postgraduate research. Epistemological referents and different graduate models were taken as methods and techniques of qualitative social research.

  20. A new implementation of full resolution SBAS-DInSAR processing chain for the effective monitoring of structures and infrastructures

    Science.gov (United States)

    Bonano, Manuela; Buonanno, Sabatino; Ojha, Chandrakanta; Berardino, Paolo; Lanari, Riccardo; Zeni, Giovanni; Manunta, Michele

    2017-04-01

    The advanced DInSAR technique referred to as Small BAseline Subset (SBAS) algorithm has already largely demonstrated its effectiveness to carry out multi-scale and multi-platform surface deformation analyses relevant to both natural and man-made hazards. Thanks to its capability to generate displacement maps and long-term deformation time series at both regional (low resolution analysis) and local (full resolution analysis) spatial scales, it allows to get more insights on the spatial and temporal patterns of localized displacements relevant to single buildings and infrastructures over extended urban areas, with a key role in supporting risk mitigation and preservation activities. The extensive application of the multi-scale SBAS-DInSAR approach in many scientific contexts has gone hand in hand with new SAR satellite mission development, characterized by different frequency bands, spatial resolution, revisit times and ground coverage. This brought to the generation of huge DInSAR data stacks to be efficiently handled, processed and archived, with a strong impact on both the data storage and the computational requirements needed for generating the full resolution SBAS-DInSAR results. Accordingly, innovative and effective solutions for the automatic processing of massive SAR data archives and for the operational management of the derived SBAS-DInSAR products need to be designed and implemented, by exploiting the high efficiency (in terms of portability, scalability and computing performances) of the new ICT methodologies. In this work, we present a novel parallel implementation of the full resolution SBAS-DInSAR processing chain, aimed at investigating localized displacements affecting single buildings and infrastructures relevant to very large urban areas, relying on different granularity level parallelization strategies. The image granularity level is applied in most steps of the SBAS-DInSAR processing chain and exploits the multiprocessor systems with distributed

  1. Managing the training process in bodybuilding

    OpenAIRE

    Netík, Tomáš

    2011-01-01

    Anotation Title: Managing the training process in bodybuilding This thesis describes the sport of bodybuilding and its training process. It also describes aspects of managing the training process and based on own research determines what impact the training process is applied to changes in the state of training and performance. There is also considering the impact of specific training methods and intensification. In the research of this thesis, we used different testing methods. We performed ...

  2. Training process for foreign women.

    Directory of Open Access Journals (Sweden)

    Carlotta Malfone

    2006-01-01

    Full Text Available This article analyses some strategies for the training process of foreign women. Several establishments must cooperate in this process (universities, unions, industrial associations, local councils not only to support job seeking initiatives but also to help these women move up towards more qualified work. The projects aimed at this are sporadic and marginal, lacking in finances because they are entirely focussed on job seeking schemes, and do not aim at helping women overcome their initial disadvantage. The result is not a qualifying training experience but merely a basic duty. Foreign women do not aspire just to dignified work but above all they wish to reach social recognition in order to benefit from all citizen rights yet maintain their personal identity through and through. We find basic fault already in the fact that the receiving country does not take into consideration the education of these women acquired in their countries. Actually, we do not find attempt to check, evaluate and improve the women’s starting qualifications. In the Italian job market, it is still impossible to ratify the qualifications of each new foreign woman. It is therefore necessary to act in many different ways in order to take care of the cultural needs of each ethnic group, so that these women could have options between different ways of life in order to get a positive introduction into the “new” country. It is necessary to create careful flexible courses for each need. Since women immigrants come from different nations, have different levels of instruction, have had different jobs, homes and relations with justice, our model of professional training must be reorganised in order to meet the real needs of these women. To this end, the education and re-training strategies must follow a careful analysis of the women’s living and working conditions, not only in consideration of their bureaucratic needs, but above all in consideration of the addressee

  3. Repeat-pass InSAR processing for Vegetation Height Calculation: Theory and a validated example

    Science.gov (United States)

    Siqueira, P.; Lei, Y.

    2014-12-01

    Knowledge of the vegetation height for a forested region is often used as a proxy for stem volume, biomass, and for characterizing habitats of a variety of plant and animal species. For this reason, remote sensing measures available from stereography, lidar, and InSAR have been important tools for airborne and spaceborne platforms. Among these and other candidates for measuring vegetation heights, InSAR has the advantage of achieving wide coverage areas (on the order of 100 km in cross-track swath) over short time periods, thus making it practical for large-scale assessments of the global environment. The determination of forest stand height (FSH), which is an assessment made on the order of one to ten hectares of resolution, InSAR can provide measures that are proportional to FSH. These are: 1.) interferometric phase compared to a known DEM, preferably of the bald earth, 2.) interferometric correlation (polarimetric or otherwise), which is related to the volume scattering nature of the target, and 3.) interferometric correlation which is related to the temporal decorrelation of the target. Of these, while the volumetric aspect of interferometric correlation is of keen interest, because of the dominant error source of temporal decorrelation, it comes at the cost of the need to perform single-pass interferometry. While such satellite systems do exist (notably the TanDEM-X mission), for vegetation applications, lower frequency systems such as ALOS-1 and -2, and the future NASA radar mission at L-band, provides better signal returns from throughout the vegetation canopy. Hence, rather than relying on volumetric correlation to provide the desired FSH signature, repeat-pass observations of temporal decorrelation are coupled with a vegetation model for this decorrelation to determine the vegetation height. In order to demonstrate this technique, the University of Massachusetts has used 46-day repeat-pass ALOS data to estimate FSH over the US State of Maine, nearly a 10

  4. SAR: Stroke Authorship Recognition

    KAUST Repository

    Shaheen, Sara

    2015-10-15

    Are simple strokes unique to the artist or designer who renders them? If so, can this idea be used to identify authorship or to classify artistic drawings? Also, could training methods be devised to develop particular styles? To answer these questions, we propose the Stroke Authorship Recognition (SAR) approach, a novel method that distinguishes the authorship of 2D digitized drawings. SAR converts a drawing into a histogram of stroke attributes that is discriminative of authorship. We provide extensive classification experiments on a large variety of data sets, which validate SAR\\'s ability to distinguish unique authorship of artists and designers. We also demonstrate the usefulness of SAR in several applications including the detection of fraudulent sketches, the training and monitoring of artists in learning a particular new style and the first quantitative way to measure the quality of automatic sketch synthesis tools. © 2015 The Eurographics Association and John Wiley & Sons Ltd.

  5. Baekdusan Volcano Time-Series Analysis from 1992 to 1998 Using Multi-Interferogram InSAR Processing

    Directory of Open Access Journals (Sweden)

    Chang-Wook Lee

    2014-01-01

    Full Text Available A multi-temporal SAR interferometry (InSAR method was applied to a time-series analysis of the period from 1992 - 1998 to detect precursor volcanic activity at Baekdusan volcano, located on the border between China and North Korea. Permanent scatterers were selected for stable signal processing to monitor ground motion using the permanent scatterer InSAR (PSInSAR technique, which generated a time-series surface deformation map using the refined small baseline subset (SBAS InSAR method. The time-series analysis results were verified using a multi-track comparison technique for two different tracks (88/230 and 89/230. The time-series analysis of the two tracks represents an unaltered phase signal (mm scale with time, except for periods with insufficient interferograms to make a precise time-series surface deformation map due to factors including atmospheric phase delay and other error effects (i.e., those that display a maximum value of the phase difference from -2.14 to +2.64 cm. These phase signals also have the Root Mean Square Error (RMSE range from 0.32 - 2.56 cm. No surface deformation was detected from the Japanese Earth Resources Satellites (JERS-1 synthetic aperture radar (SAR data collected between 1992 - 1998 at the Baekdusan volcano, as monitored using volcanic surface movements with dynamic magma activity. No volcanic eruption precursor signals were demonstrated during the inactive period (1992 - 1998 prior to the active period (2002 - 2006 of this volcano.

  6. A Multi-Scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains

    Directory of Open Access Journals (Sweden)

    Enrico Stein

    2013-10-01

    Full Text Available A two-component fully automated flood monitoring system is described and evaluated. This is a result of combining two individual flood services that are currently under development at DLR’s (German Aerospace Center Center for Satellite based Crisis Information (ZKI to rapidly support disaster management activities. A first-phase monitoring component of the system systematically detects potential flood events on a continental scale using daily-acquired medium spatial resolution optical data from the Moderate Resolution Imaging Spectroradiometer (MODIS. A threshold set controls the activation of the second-phase crisis component of the system, which derives flood information at higher spatial detail using a Synthetic Aperture Radar (SAR based satellite mission (TerraSAR-X. The proposed activation procedure finds use in the identification of flood situations in different spatial resolutions and in the time-critical and on demand programming of SAR satellite acquisitions at an early stage of an evolving flood situation. The automated processing chains of the MODIS (MFS and the TerraSAR-X Flood Service (TFS include data pre-processing, the computation and adaptation of global auxiliary data, thematic classification, and the subsequent dissemination of flood maps using an interactive web-client. The system is operationally demonstrated and evaluated via the monitoring two recent flood events in Russia 2013 and Albania/Montenegro 2013.

  7. Azimuth-Variant Signal Processing in High-Altitude Platform Passive SAR with Spaceborne/Airborne Transmitter

    Directory of Open Access Journals (Sweden)

    Huaizong Shao

    2013-03-01

    Full Text Available High-altitude platforms (HAP or near-space vehicle offers several advantages over current low earth orbit (LEO satellite and airplane, because HAP is not constrained by orbital mechanics and fuel consumption. These advantages provide potential for some specific remote sensing applications that require persistent monitoring or fast-revisiting frequency. This paper investigates the azimuth-variant signal processing in HAP-borne bistatic synthetic aperture radar (BiSAR with spaceborne or airborne transmitter for high-resolution remote sensing. The system configuration, azimuth-variant Doppler characteristics and two-dimensional echo spectrum are analyzed. Conceptual system simulation results are also provided. Since the azimuth-variant BiSAR geometry brings a challenge for developing high precision data processing algorithms, we propose an image formation algorithm using equivalent velocity and nonlinear chirp scaling (NCS to address the azimuth-variant signal processing problem. The proposed algorithm is verified by numerical simulation results.

  8. Re-Processing of ERS-1/-2 SAR data for derivation of glaciological parameters on the Antarctic Peninsula

    Science.gov (United States)

    Friedl, Peter; Höppner, Kathrin; Braun, Matthias; Lorenz, Rainer; Diedrich, Erhard

    2015-04-01

    Climate Change, it`s polar amplification and impacts are subject of current research in various thematic and methodological fields. In this context different spaceborne remote sensing techniques play an important role for data acquisition and measurement of different geophysical variables. A recently founded Junior Researchers Group at the German Aerospace Center (DLR) is studying changing processes in cryosphere and atmosphere above the Antarctic Peninsula. It is the aim of the group to make use of long-term remote sensing data sets of the land and ice surface and the atmosphere in order to characterize changes in this sensitive region. One aspect focuses on the application of synthetic aperture radar (SAR) data for glaciological investigations on the Antarctic Peninsula. The data had been acquired by the European Remote Sensing (ERS-1 and ERS-2) satellites and received at DLR's Antarctic station GARS O'Higgins. Even though recent glaciological investigations often make use of modern polar-orbiting single-pass SAR-systems like e.g. TanDEM-X, only ERS-1 (1991 - 2000) and its follow-up mission ERS-2 (1995 - 2011) provided a 20 years' time series of continuous measurements, which offers great potential for long-term studies. Interferometric synthetic radar (InSAR) and differential interferometric synthetic radar (DInSAR) methods as well as the intensity tracking technique are applied to create value-added glaciological SAR-products, such as glacier velocity maps, coherence maps, interferograms and differential interferograms with the aim to make them accessible to interested scientific end-users. These products are suitable for glaciological applications, e.g. determinations of glacier extend, and grounding line position, glacier and ice-stream velocities and glacier mass balance calculations with the flux-gate approach. We represent results of case studies from three test sites located at different latitudes and presenting different climatic and glaciological

  9. Validation and operational measurements with SUSIE – A sar ice motion processing chain developed within promice (Programme for monitoring of Greenland ice-sheet)

    DEFF Research Database (Denmark)

    Merryman Boncori, John Peter; Dall, Jørgen; Ahlstrøm, A. P.

    2010-01-01

    This paper describes the validation of an ice-motion processing chain developed for the PROMICE project – a long-term program funded by the Danish ministry of Climate and Energy to monitor the mass budget of the Greenland ice-sheet. The processor, named SUSIE, (Scripts and Utilities for SAR Ice......-motion Estimation) uses a combination of differential SAR interferometry (DInSAR) and offset-tracking techniques to measure the horizontal velocity components, providing also an estimate of the corresponding measurement error standard deviations. In this performance of SUSIE’s offset-tracking chain is compared...

  10. Development of Signal Processing Algorithms for High Resolution Airborne Millimeter Wave FMCW SAR

    NARCIS (Netherlands)

    Meta, A.; Hoogeboom, P.

    2005-01-01

    For airborne earth observation applications, there is a special interest in lightweight, cost effective, imaging sensors of high resolution. The combination of Frequency Modulated Continuous Wave (FMCW) technology and Synthetic Aperture Radar (SAR) techniques can lead to such a sensor. In this

  11. Convolutional Neural Networks for SAR Image Segmentation

    DEFF Research Database (Denmark)

    Malmgren-Hansen, David; Nobel-Jørgensen, Morten

    2015-01-01

    Segmentation of Synthetic Aperture Radar (SAR) images has several uses, but it is a difficult task due to a number of properties related to SAR images. In this article we show how Convolutional Neural Networks (CNNs) can easily be trained for SAR image segmentation with good results. Besides...

  12. Wave Processes in Arctic Seas, Observed from TerraSAR-X

    Science.gov (United States)

    2015-09-30

    work are to adapt existing TerraSAR-X wave parameter and ice motion retrieval algorithms for the marginal ice zone in order to: 2 • analyze the...test/develop formulae of wave development (such as fetch laws) for the marginal ice zone; • provide wave field characteristics and wind data to...meeting in October. RESULTS Wind, wave and ice information has been retrieved from TS-X data in the marginal ice zones and open water

  13. Fault and anthropogenic processes in central California constrained by satellite and airborne InSAR and in-situ observations

    Science.gov (United States)

    Liu, Zhen; Lundgren, Paul

    2016-07-01

    The San Andreas Fault (SAF) system is the primary plate boundary in California, with the central SAF (CSAF) lying adjacent to the San Joaquin Valley (SJV), a vast structural trough that accounts for about one-sixth of the United Sates' irrigated land and one-fifth of its extracted groundwater. The CSAF displays a range of fault slip behavior with creeping in its central segment that decreases towards its northwest and southeast ends, where the fault transitions to being fully locked. At least six Mw ~6.0 events since 1857 have occurred near the Parkfield transition, most recently in 2004. Large earthquakes also occurred on secondary faults parallel to the SAF, the result of distributed deformation across the plate boundary zone. Recent studies have revealed the complex interaction between anthropogenic related groundwater depletion and the seismic activity on adjacent faults through stress interaction. Despite recent progress, many questions regarding fault and anthropogenic processes in the region still remain. For example, how is the relative plate motion accommodated between the CSAF and off-fault deformation? What is the distribution of fault creep and slip deficit at shallow depths? What are the spatiotemporal variations of fault slip? What are the spatiotemporal characteristics of anthropogenic and lithospheric processes and how do they interact with each other? To address these, we combine satellite InSAR and NASA airborne UAVSAR data to image on and off-fault deformation. The UAVSAR data cover fault perpendicular swaths imaged from opposing look directions and fault parallel swaths since 2009. The much finer spatial resolution and optimized viewing geometry provide important constraints on near fault deformation and fault slip at very shallow depth. We performed a synoptic InSAR time series analysis using ERS-1/2, Envisat, ALOS and UAVSAR interferograms. The combined C-band ERS-1/2 and Envisat data provide a long time interval of SAR data over the region

  14. The Training Process of the Organization Development and Training Office

    Science.gov (United States)

    Johnson, Melissa S.

    2004-01-01

    read and summarized to determine the effectiveness of the class and instructor. In addition to the SOAR workshops, I have several projects and daily tasks to complete. Coding training applications, which require me to be familiar with Glenn s budgetary allocations and policies on training, is an ongoing process. It also requires verifying information reported by an employee via her C-478 form, more commonly known as the training application. I am also the point of contact for the Cuyahoga Community College Advising Sessions held here at NASA Glenn which involves coordinating counselors visits with employees schedules. Two databases had to be created. The first database holds information on administrative staff, and the other tracks supervisors training histories. Through these assignments I gained experience in Microsoft Access 2002 and spreadsheet creation, communicating with co-workers, and successfully facilitating a training to serve specific purposes. With trainings and evaluations to assessment them, the Organization Development and Training Office can assure a quality product and continued customer satisfaction.

  15. Advanced radar-interpretation of InSAR time series for mapping and characterization of geological processes

    Directory of Open Access Journals (Sweden)

    F. Cigna

    2011-03-01

    Full Text Available We present a new post-processing methodology for the analysis of InSAR (Synthetic Aperture Radar Interferometry multi-temporal measures, based on the temporal under-sampling of displacement time series, the identification of potential changes occurring during the monitoring period and, eventually, the classification of different deformation behaviours. The potentials of this approach for the analysis of geological processes were tested on the case study of Naro (Italy, specifically selected due to its geological setting and related ground instability of unknown causes that occurred in February 2005. The time series analysis of past (ERS1/2 descending data; 1992–2000 and current (RADARSAT-1 ascending data; 2003–2007 ground movements highlighted significant displacement rates (up to 6 mm yr−1 in 2003–2007, followed by a post-event stabilization. The deformational behaviours of instable areas involved in the 2005 event were also detected, clarifying typology and kinematics of ground instability. The urban sectors affected and unaffected by the event were finally mapped, consequently re-defining and enlarging the influenced area previously detected by field observations. Through the integration of InSAR data and conventional field surveys (i.e. geological, geomorphologic and geostructural campaigns, the causes of instability were finally attributed to tectonics.

  16. SAR Ground Moving Target Indication Based on Relative Residue of DPCA Processing

    Directory of Open Access Journals (Sweden)

    Jia Xu

    2016-10-01

    Full Text Available For modern synthetic aperture radar (SAR, it has much more urgent demands on ground moving target indication (GMTI, which includes not only the point moving targets like cars, truck or tanks but also the distributed moving targets like river or ocean surfaces. Among the existing GMTI methods, displaced phase center antenna (DPCA can effectively cancel the strong ground clutter and has been widely used. However, its detection performance is closely related to the target’s signal-to-clutter ratio (SCR as well as radial velocity, and it cannot effectively detect the weak large-sized river surfaces in strong ground clutter due to their low SCR caused by specular scattering. This paper proposes a novel method called relative residue of DPCA (RR-DPCA, which jointly utilizes the DPCA cancellation outputs and the multi-look images to improve the detection performance of weak river surfaces. Furthermore, based on the statistics analysis of the RR-DPCA outputs on the homogenous background, the cell average (CA method can be well applied for subsequent constant false alarm rate (CFAR detection. The proposed RR-DPCA method can well detect the point moving targets and distributed moving targets simultaneously. Finally, the results of both simulated and real data are provided to demonstrate the effectiveness of the proposed SAR/GMTI method.

  17. SAR matrices: automated extraction of information-rich SAR tables from large compound data sets.

    Science.gov (United States)

    Wassermann, Anne Mai; Haebel, Peter; Weskamp, Nils; Bajorath, Jürgen

    2012-07-23

    We introduce the SAR matrix data structure that is designed to elucidate SAR patterns produced by groups of structurally related active compounds, which are extracted from large data sets. SAR matrices are systematically generated and sorted on the basis of SAR information content. Matrix generation is computationally efficient and enables processing of large compound sets. The matrix format is reminiscent of SAR tables, and SAR patterns revealed by different categories of matrices are easily interpretable. The structural organization underlying matrix formation is more flexible than standard R-group decomposition schemes. Hence, the resulting matrices capture SAR information in a comprehensive manner.

  18. A Computer Code for SAR Assessment of Plume-Exposure Doses from Potential Process-Accident Releases to Atmosphere

    Energy Technology Data Exchange (ETDEWEB)

    Pillinger, W. L. [Savannah River Site (SRS), Aiken, SC (United States); Huang, J. C. [Savannah River Site (SRS), Aiken, SC (United States)

    1986-06-12

    Safety analysis reports (SAR's) usually require the dose consequences of postulated releases of radioactivity in potential accident scenarios. Standard methods and easily-invoked computational means are being developed to facilitate such dose assessments.

  19. Improvement of the training process of taekwondists

    Directory of Open Access Journals (Sweden)

    Arkaniya Rusudan

    2016-02-01

    Full Text Available The article discloses the concept of scientific research of modeling technical and tactical training in taekwondo. The peculiarities of taekwondists’ technical and tactical training are identified. The expediency of introducing special training equipment into taekwondo sports practice is proved. The main tasks of taekwondo training management with regard to the stages of formation of sports skills are defined

  20. Post-Eruption Deformation Processes Measured Using ALOS-1 and UAVSAR InSAR at Pacaya Volcano, Guatemala

    Directory of Open Access Journals (Sweden)

    Lauren N. Schaefer

    2016-01-01

    Full Text Available Pacaya volcano is a persistently active basaltic cone complex located in the Central American Volcanic Arc in Guatemala. In May of 2010, violent Volcanic Explosivity Index-3 (VEI-3 eruptions caused significant topographic changes to the edifice, including a linear collapse feature 600 m long originating from the summit, the dispersion of ~20 cm of tephra and ash on the cone, the emplacement of a 5.4 km long lava flow, and ~3 m of co-eruptive movement of the southwest flank. For this study, Interferometric Synthetic Aperture Radar (InSAR images (interferograms processed from both spaceborne Advanced Land Observing Satellite-1 (ALOS-1 and aerial Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR data acquired between 31 May 2010 and 10 April 2014 were used to measure post-eruptive deformation events. Interferograms suggest three distinct deformation processes after the May 2010 eruptions, including: (1 subsidence of the area involved in the co-eruptive slope movement; (2 localized deformation near the summit; and (3 emplacement and subsequent subsidence of about a 5.4 km lava flow. The detection of several different geophysical signals emphasizes the utility of measuring volcanic deformation using remote sensing techniques with broad spatial coverage. Additionally, the high spatial resolution of UAVSAR has proven to be an excellent compliment to satellite data, particularly for constraining motion components. Measuring the rapid initiation and cessation of flank instability, followed by stabilization and subsequent influence on eruptive features, provides a rare glimpse into volcanic slope stability processes. Observing these and other deformation events contributes both to hazard assessment at Pacaya and to the study of the stability of stratovolcanoes.

  1. Military nurses in Venezuela and training process

    Directory of Open Access Journals (Sweden)

    Claudia Izquierdo-Martínez

    2017-04-01

    Full Text Available Nursing career professionals with solid-humanistic way scientific, ethical and basis in order that they can properly integrate the multidisciplinary team to creatively solve health problems through nursing care. This article analyzes the formation of the military nurse in Venezuela, with the help of logical historical method to uncover trends and regularities that characterize this process. The nurse is a professional attitudes, values, knowledge and skills to assume their social responsibility, applying theories and models of discipline in the promotion, prevention, recovery and rehabilitation of health. Similarly, military nurse career provides to the military institution and especially health institutions of the country leadership training in the management of custodial care, management and research on health and committed to education continues in his practice.

  2. Signal processing issues for the exploitation of pulse-to-pulse encoding SAR transponders

    DEFF Research Database (Denmark)

    Merryman Boncori, John Peter; Schiavon, Giovanni

    2008-01-01

    -encoding point scatterers and distributed ones. A time-domain processing algorithm and a code synchronization procedure are proposed and validated on simulated data and on a European Remote Sensing Satellite-2 data set containing prototypes of such a device. The interaction of the transponder signal with terrain......Synthetic aperture radar signal processing issues related to the exploitation of a pulse-to-pulse encoding transponder using pseudorandom codes discussed analytically. Namely the focusing algorithm, the code synchronization procedure and the properties of the code induced gain against non...

  3. Computer processing of SAR L-band imagery. [Synthetic Aperture Radar for ice mapping

    Science.gov (United States)

    Bryan, M. L.; Stromberg, W. D.; Farr, T. G.

    1977-01-01

    The described work in the areas of hydrology and polar ice defines possible uses of automatic picture processing of uncalibrated radar images. The data used in the study were collected with the aid of an L-band synthetic aperture radar mounted in the NASA CV-990 aircraft. The radar was operated at approximately 30,000 feet altitude. One study area used was located in the Beaufort Sea and contained sea ice. The other study area contained lakes on the Alaskan North Slope. The reported investigations demonstrate that certain types of features can be efficiently studied by using simple automatic picture processing techniques applied to uncalibrated radar data.

  4. NASA Computational Case Study SAR Data Processing: Ground-Range Projection

    Science.gov (United States)

    Memarsadeghi, Nargess; Rincon, Rafael

    2013-01-01

    Radar technology is used extensively by NASA for remote sensing of the Earth and other Planetary bodies. In this case study, we learn about different computational concepts for processing radar data. In particular, we learn how to correct a slanted radar image by projecting it on the surface that was sensed by a radar instrument.

  5. Severe Acute Respiratory Syndrome- SARS

    Indian Academy of Sciences (India)

    Table of contents. Severe Acute Respiratory Syndrome- SARS · PowerPoint Presentation · Slide 3 · Global pattern of SARS epidemic · Slide 5 · SARS – clinical features ... SARS virus · SARS – Koch´Postulates proved. SARS – virus jumps species · How infectious is SARS virus · SARS – Global Distribution- 10th July 2003.

  6. Sentinel-3 SAR Altimetry Toolbox

    Science.gov (United States)

    Benveniste, Jerome; Lucas, Bruno; DInardo, Salvatore

    2015-04-01

    The prime objective of the SEOM (Scientific Exploitation of Operational Missions) element is to federate, support and expand the large international research community that the ERS, ENVISAT and the Envelope programmes have build up over the last 20 years for the future European operational Earth Observation missions, the Sentinels. Sentinel-3 builds directly on a proven heritage of ERS-2 and Envisat, and CryoSat-2, with a dual-frequency (Ku and C band) advanced Synthetic Aperture Radar Altimeter (SRAL) that provides measurements at a resolution of ~300m in SAR mode along track. Sentinel-3 will provide exact measurements of sea-surface height along with accurate topography measurements over sea ice, ice sheets, rivers and lakes. The first of the two Sentinels is expected to be launched in early 2015. The current universal altimetry toolbox is BRAT (Basic Radar Altimetry Toolbox) which can read all previous and current altimetry mission's data, but it does not have the capabilities to read the upcoming Sentinel-3 L1 and L2 products. ESA will endeavour to develop and supply this capability to support the users of the future Sentinel-3 SAR Altimetry Mission. BRAT is a collection of tools and tutorial documents designed to facilitate the processing of radar altimetry data. This project started in 2005 from the joint efforts of ESA (European Space Agency) and CNES (Centre National d'Etudes Spatiales), and it is freely available at http://earth.esa.int/brat. The tools enable users to interact with the most common altimetry data formats, the BratGUI is the front-end for the powerful command line tools that are part of the BRAT suite. BRAT can also be used in conjunction with Matlab/IDL (via reading routines) or in C/C++/Fortran via a programming API, allowing the user to obtain desired data, bypassing the data-formatting hassle. BRAT can be used simply to visualise data quickly, or to translate the data into other formats such as netCDF, ASCII text files, KML (Google Earth

  7. LOTUS— Preparing Sentinel-3 SAR Altimetry Processing for Ocean and Land

    DEFF Research Database (Denmark)

    Knudsen, Per; Andersen, Ole Baltazar; Nielsen, Karina

    The Sentinel-3 satellite mission with its SRAL instrumentation contains new features compared to the conventional radar altimeter mission that form the basis for new innovative scientific analyses of both ocean and inland water levels. To utilize the full potential of the new data source, new...... methods and processing chains need to be developed. Subsequently, new potential Copernicus products should be developed that utilize the improved along-track resolution over both the oceans and over land. The main objective of the LOTUS project is to prepare the scientific and operational use of data from...... Sentinels 3. Then new operational processing, validation and delivery mechanisms need to be developed and implemented for generating the new dynamic products. Finally, the take-up of the new Copernicus products by the value-adding sectors needs to be stimulated and demonstrated to ensure...

  8. LOTUS— Preparing Sentinel-3 SAR Altimetry Processing for Ocean and Land

    DEFF Research Database (Denmark)

    Knudsen, Per; Andersen, Ole Baltazar; Nielsen, Karina

    2016-01-01

    The Sentinel-3 satellite mission with its SRAL instrumentation contains new features compared to the conventional radar altimeter mission that form the basis for new innovative scientific analyses of both ocean and inland water levels. To utilize the full potential of the new data source, new...... methods and processing chains need to be developed. Subsequently, new potential Copernicus products should be developed that utilize the improved alongtrack resolution over both the oceans and over land. The main objective of the LOTUS project is to prepare the scientific and operational use of data from...... Sentinels 3. Then new operational processing, validation and delivery mechanisms need to be developed and implemented for generating the new dynamic products. Finally, the take-up of the new Copernicus products by the value-adding sectors needs to be stimulated and demonstrated to ensure...

  9. Circular SAR GMTI

    Science.gov (United States)

    Page, Douglas; Owirka, Gregory; Nichols, Howard; Scarborough, Steven

    2014-06-01

    We describe techniques for improving ground moving target indication (GMTI) performance in multi-channel synthetic aperture radar (SAR) systems. Our approach employs a combination of moving reference processing (MRP) to compensate for defocus of moving target SAR responses and space-time adaptive processing (STAP) to mitigate the effects of strong clutter interference. Using simulated moving target and clutter returns, we demonstrate focusing of the target return using MRP, and discuss the effect of MRP on the clutter response. We also describe formation of adaptive degrees of freedom (DOFs) for STAP filtering of MRP processed data. For the simulated moving target in clutter example, we demonstrate improvement in the signal to interference plus noise (SINR) loss compared to more standard algorithm configurations. In addition to MRP and STAP, the use of tracker feedback, false alarm mitigation, and parameter estimation techniques are also described. A change detection approach for reducing false alarms from clutter discretes is outlined, and processing of a measured data coherent processing interval (CPI) from a continuously orbiting platform is described. The results demonstrate detection and geolocation of a high-value target under track. The endoclutter target is not clearly visible in single-channel SAR chips centered on the GMTI track prediction. Detections are compared to truth data before and after geolocation using measured angle of arrival (AOA).

  10. Spaceborne SAR Imaging Algorithm for Coherence Optimized.

    Directory of Open Access Journals (Sweden)

    Zhiwei Qiu

    Full Text Available This paper proposes SAR imaging algorithm with largest coherence based on the existing SAR imaging algorithm. The basic idea of SAR imaging algorithm in imaging processing is that output signal can have maximum signal-to-noise ratio (SNR by using the optimal imaging parameters. Traditional imaging algorithm can acquire the best focusing effect, but would bring the decoherence phenomenon in subsequent interference process. Algorithm proposed in this paper is that SAR echo adopts consistent imaging parameters in focusing processing. Although the SNR of the output signal is reduced slightly, their coherence is ensured greatly, and finally the interferogram with high quality is obtained. In this paper, two scenes of Envisat ASAR data in Zhangbei are employed to conduct experiment for this algorithm. Compared with the interferogram from the traditional algorithm, the results show that this algorithm is more suitable for SAR interferometry (InSAR research and application.

  11. Subsidence history of the city of Morelia, Mexico based on InSAR images processed as time series

    Science.gov (United States)

    Jaramillo, S. H.; Suárez, G.; López-Quiroz, P.

    2012-04-01

    The city of Morelia in central Mexico sits on lacustrine and fluvio-lacustrine deposits. Subsidence due to the extraction of water from the subsoil is evidenced by the presence of differential soil compaction, causing faulting and cracking of the ground and adjacent constructions. In order to study the subsidence history of the past nine years, twenty-eight ENVISAT Synthetic Aperture Radar (SAR) images acquired between May 2003 and September 2010 were processed using ROI_PAC. All scenes are descending orbit images. The resulting interferograms were filtered using an adaptive filter and, in order to increase coherence and signal-to-noise ratio, they were unwrapped using the "branch-cut" algorithm. A subset of the resulting interferograms was selected based on the following criteria. Only interferograms with spatial baseline of less than 400 m and a temporal baseline of less than 420 days were considered. The primary objective of our work was to determine the temporal evolution of the subsidence in different parts of the city. To this end, selected pixels are inverted in an independent manner from neighbouring pixels using a time series analysis. Preliminary results suggest that the central part of the basin, near the fault known as the "Central Camionera", the subsidence is almost constant with a value of 3 to 4 cm/yr until 2008. From this date on, the subsidence rates increase to values with an average of 7 to 8 cm/yr. This increase in the subsidence rate is clearly appreciated in the appearance of two clearly visible circular patterns from 2008 to 2010. Currently, an inversion is being conducted to obtain the overall subsidence history of the basin.

  12. High-Resolution TomoSAR & PS-InSAR Analysis in Urban Areas

    Science.gov (United States)

    Wei, Lianhuan; Liao, Mingsheng; Balz, Timo; Liu, Kang; Jendryke, Michael

    2013-01-01

    The surveillance of urban infrastructures is of great importance. Urban infrastructure monitoring benefits from the launch of the new generation of high-resolution SAR satellites. With high-resolution SAR stacks, even deformation details of different building parts can be observed by PS-InSAR technique. However, high-rise building areas suffer severely from layover effects, which can cause serious phase unwrapping errors in PS-InSAR processing. SAR tomography (TomoSAR) provides a method of overcoming layover effects in urban areas. With tomographic techniques, the 3D distribution of multiple scatterers and their position can be reconstructed. In this poster, the PS-InSAR method is illustrated first, followed with PS-InSAR analysis results in Shanghai. Then, we will describe SAR tomography and why we need TomoSAR, especially in dense cities like Shanghai. Finally, preliminary tomographic results are presented. By combining PS-InSAR and TomoSAR, a 4D dynamic mapping of urban areas could be executed.

  13. Process-Play: A Simulation Procedure for Group Work Training.

    Science.gov (United States)

    Brenner, Viktor

    1999-01-01

    Describes process-play, an experiential training group structure that addresses the dilemma between participation in a training group and a student's right to privacy. Students participate in group training through a mask, whereby they differentially respond to certain group members on the basis of superficial characteristics. Introduces…

  14. Geodetic SAR Tomography

    NARCIS (Netherlands)

    Zhu, Xiao Xiang; Montazeri, Sina; Gisinger, Christoph; Hanssen, R.F.; Bamler, Richard

    2016-01-01

    In this paper, we propose a framework referred to as 'geodetic synthetic aperture radar (SAR) tomography' that fuses the SAR imaging geodesy and tomographic SAR inversion (TomoSAR) approaches to obtain absolute 3-D positions of a large amount of natural scatterers. The methodology is applied on

  15. Hybrid Pluggable Processing Pipeline (HyP3): A cloud-based infrastructure for generic processing of SAR data

    Science.gov (United States)

    Hogenson, K.; Arko, S. A.; Buechler, B.; Hogenson, R.; Herrmann, J.; Geiger, A.

    2016-12-01

    A problem often faced by Earth science researchers is how to scale algorithms that were developed against few datasets and take them to regional or global scales. One significant hurdle can be the processing and storage resources available for such a task, not to mention the administration of those resources. As a processing environment, the cloud offers nearly unlimited potential for compute and storage, with limited administration required. The goal of the Hybrid Pluggable Processing Pipeline (HyP3) project was to demonstrate the utility of the Amazon cloud to process large amounts of data quickly and cost effectively, while remaining generic enough to incorporate new algorithms with limited administration time or expense. Principally built by three undergraduate students at the ASF DAAC, the HyP3 system relies on core Amazon services such as Lambda, the Simple Notification Service (SNS), Relational Database Service (RDS), Elastic Compute Cloud (EC2), Simple Storage Service (S3), and Elastic Beanstalk. The HyP3 user interface was written using elastic beanstalk, and the system uses SNS and Lamdba to handle creating, instantiating, executing, and terminating EC2 instances automatically. Data are sent to S3 for delivery to customers and removed using standard data lifecycle management rules. In HyP3 all data processing is ephemeral; there are no persistent processes taking compute and storage resources or generating added cost. When complete, HyP3 will leverage the automatic scaling up and down of EC2 compute power to respond to event-driven demand surges correlated with natural disaster or reprocessing efforts. Massive simultaneous processing within EC2 will be able match the demand spike in ways conventional physical computing power never could, and then tail off incurring no costs when not needed. This presentation will focus on the development techniques and technologies that were used in developing the HyP3 system. Data and process flow will be shown

  16. Outplacement Training: Process, Content and Attitudes.

    Science.gov (United States)

    Harrick, Edward J.; And Others

    1982-01-01

    Describes an outplacement training program conducted in a small group format with the option of individual follow-up counseling sessions. Program elements discussed include lecture topics, inventory of skills, job search activities, individual counseling, participant attitudes, and recommendations. (CT)

  17. The evaluation process of short training sessions in organizations

    NARCIS (Netherlands)

    Overschie, M.G.F.; Lukosch, H.K.; De Vries, P.

    This paper presents a critical reflection of the evaluation of learning processes in organizations. Based on learning and evaluation theories and concepts we discuss qualitative and quantitative evaluation processes, and its relationship to short training sessions to foster sustainable development.

  18. Precision Rectification of Airborne SAR Image

    DEFF Research Database (Denmark)

    Dall, Jørgen; Liao, M.; Zhang, Zhe

    1997-01-01

    A simple and direct procedure for the rectification of a certain class of airborne SAR data is presented. The relief displacements of SAR data are effectively removed by means of a digital elevation model and the image is transformed to the ground coordinate system. SAR data from the Danish EMISAR......([7]) is used. The EMISAR produces data with a geometrical resolution of 2.0 meters. The corrected image is tested against photogrammetric control measurements and an accuracy better than 0.5 pixel corresponding to 0.75 meters is obtained. The results indicate promising possibilities...... for the application of SAR data in the difficult process of map revision and updating....

  19. Does attentional training improve numerical processing in developmental dyscalculia?

    Science.gov (United States)

    Ashkenazi, Sarit; Henik, Avishai

    2012-01-01

    Recently, a deficit in attention was found in those with pure developmental dyscalculia (DD). Accordingly, the present study aimed to examine the influence of attentional training on attention abilities, basic numerical abilities, and arithmetic in participants who were diagnosed as having DD. Nine university students diagnosed as having DD (IQ and reading abilities in the normal range and no indication of attention-deficit hyperactivity disorder) and nine matched controls participated in attentional training (i.e., video game training). First, training modulated the orienting system; after training, the size of the validity effect (i.e., effect of valid vs. invalid) decreased. This effect was comparable in the two groups. Training modulated abnormalities in the attention systems of those with DD, that is, it reduced their enlarged congruity effect (i.e., faster responding when flanking arrows pointed to the same location as a center arrow). Second, in relation to the enumeration task, training reduced the reaction time of the DD group in the subitizing range but did not change their smaller-than-normal subitizing range. Finally, training improved performance in addition problems in both the DD and control groups. These results imply that attentional training does improve most of the attentional deficits of those with DD. In contrast, training did not improve the abnormalities of the DD group in arithmetic or basic numerical processing. Thus, in contrast to the domain-general hypothesis, the deficits in attention among those with DD and the deficits in numerical processing appear to originate from different sources.

  20. Recovering Seasat SAR Data

    Science.gov (United States)

    Logan, T. A.; Arko, S. A.; Rosen, P. A.

    2013-12-01

    To demonstrate the feasibility of orbital remote sensing for global ocean observations, NASA launched Seasat on June 27th, 1978. Being the first space borne SAR mission, Seasat produced the most detailed SAR images of Earth from space ever seen to that point in time. While much of the data collected in the USA was processed optically, a mere 150 scenes had been digitally processed by March 1980. In fact, only an estimated 3% of Seasat data was ever digitally processed. Thus, for over three decades, the majority of the SAR data from this historic mission has been dormant, virtually unavailable to scientists in the 21st century. Over the last year, researchers at the Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC) have processed the Seasat SAR archives into imagery products. A telemetry decoding system was created and the data were filtered into readily processable signal files. Due to nearly 35 years of bit rot, the bit error rate (BER) for the ASF DAAC Seasat archives was on the order of 1 out of 100 to 1 out of 100,000. This extremely high BER initially seemed to make much of the data undecodable - because the minor frame numbers are just 7 bits and no range line numbers exist in the telemetry even the 'simple' tasks of tracking the minor frame number or locating the start of each range line proved difficult. Eventually, using 5 frame numbers in sequence and a handful of heuristics, the data were successfully decoded into full range lines. Concurrently, all metadata were stored into external files. Recovery of this metadata was also problematic, the BER making the information highly suspect and, initially at least, unusable in any sort of automated fashion. Because of the BER, all of the single bit metadata fields proved unreliable. Even fields that should be constant for a data take (e.g. receiving station, day of the year) showed high variability, each requiring a median filter to be usable. The most challenging, however, were the

  1. Semi-Supervised Learning for Ill-Posed Polarimetric SAR Classification

    Directory of Open Access Journals (Sweden)

    Stefan Uhlmann

    2014-05-01

    Full Text Available In recent years, the interest in semi-supervised learning has increased, combining supervised and unsupervised learning approaches. This is especially valid for classification applications in remote sensing, while the data acquisition rate in current systems has become fairly large considering high- and very-high resolution data; yet on the other hand, the process of obtaining the ground truth data may be cumbersome for such large repositories. In this paper, we investigate the application of semi-supervised learning approaches and particularly focus on the small sample size problem. To that extend, we consider two basic unsupervised approaches by enlarging the initial labeled training set as well as an ensemble-based self-training method. We propose different strategies within self-training on how to select more reliable candidates from the pool of unlabeled samples to speed-up the learning process and to improve the classification performance of the underlying classifier ensemble. We evaluate the effectiveness of the proposed semi-supervised learning approach over polarimetric SAR data. Results show that the proposed self-training approach using an ensemble-based classifier that is initially trained over a small training set can achieve a similar performance level of a fully supervised learning approach where the training is performed over significantly larger labeled data. Considering the difficulties of the manual data labeling in such massive volumes of SAR repositories, this is indeed a promising accomplishment for semi-supervised SAR classification.

  2. Participation in decision-making process, incentives and training as ...

    African Journals Online (AJOL)

    This study investigates the relationships among participation in decision-making process, incentives, training and organizational commitment among some industrial workers. Measures on participation in decision-making, incentives, training and organizational commitment were employed to collect data from the workers in ...

  3. A Subjective and Objective Process for Athletic Training Student Selection

    Science.gov (United States)

    Hawkins, Jeremy R.; McLoda, Todd A.; Stanek, Justin M.

    2015-01-01

    Context: Admission decisions are made annually concerning whom to accept into athletic training programs. Objective: To present an approach used to make admissions decisions at an undergraduate athletic training program and to corroborate this information by comparing each aspect to nursing program admission processes. Background: Annually,…

  4. Auditory Processing Training in Learning Disability

    OpenAIRE

    Nívea Franklin Chaves Martins; Hipólito Virgílio Magalhães Jr

    2006-01-01

    The aim of this case report was to promote a reflection about the importance of speech-therapy for stimulation a person with learning disability associated to language and auditory processing disorders. Data analysis considered the auditory abilities deficits identified in the first auditory processing test, held on April 30,2002 compared with the new auditory processing test done on May 13,2003,after one year of therapy directed to acoustic stimulation of auditory abilities disorders,in acco...

  5. Geometric calibration of ERS satellite SAR images

    DEFF Research Database (Denmark)

    Mohr, Johan Jacob; Madsen, Søren Nørvang

    2001-01-01

    Geometric calibration of the European Remote Sensing (ERS) Satellite synthetic aperture radar (SAR) slant range images is important in relation to mapping areas without ground reference points and also in relation to automated processing. The relevant SAR system parameters are discussed and calib......Geometric calibration of the European Remote Sensing (ERS) Satellite synthetic aperture radar (SAR) slant range images is important in relation to mapping areas without ground reference points and also in relation to automated processing. The relevant SAR system parameters are discussed...... on a seven-year ERS-1 and a four-year ERS-2 time series, the long term stability is found to be sufficient to allow a single calibration covering the entire mission period. A descending and an ascending orbit tandem pair of the ESA calibration site on Flevoland, suitable for calibration of ERS SAR processors...

  6. Working memory training improves reading processes in typically developing children.

    Science.gov (United States)

    Loosli, Sandra V; Buschkuehl, Martin; Perrig, Walter J; Jaeggi, Susanne M

    2012-01-01

    The goal of this study was to investigate whether a brief cognitive training intervention results in a specific performance increase in the trained task, and whether there are transfer effects to other nontrained measures. A computerized, adaptive working memory intervention was conducted with 9- to 11-year-old typically developing children. The children considerably improved their performance in the trained working memory task. Additionally, compared to a matched control group, the experimental group significantly enhanced their reading performance after training, providing further evidence for shared processes between working memory and reading.

  7. Sentinel-1 data massive processing for large scale DInSAR analyses within Cloud Computing environments through the P-SBAS approach

    Science.gov (United States)

    Lanari, Riccardo; Bonano, Manuela; Buonanno, Sabatino; Casu, Francesco; De Luca, Claudio; Fusco, Adele; Manunta, Michele; Manzo, Mariarosaria; Pepe, Antonio; Zinno, Ivana

    2017-04-01

    The SENTINEL-1 (S1) mission is designed to provide operational capability for continuous mapping of the Earth thanks to its two polar-orbiting satellites (SENTINEL-1A and B) performing C-band synthetic aperture radar (SAR) imaging. It is, indeed, characterized by enhanced revisit frequency, coverage and reliability for operational services and applications requiring long SAR data time series. Moreover, SENTINEL-1 is specifically oriented to interferometry applications with stringent requirements based on attitude and orbit accuracy and it is intrinsically characterized by small spatial and temporal baselines. Consequently, SENTINEL-1 data are particularly suitable to be exploited through advanced interferometric techniques such as the well-known DInSAR algorithm referred to as Small BAseline Subset (SBAS), which allows the generation of deformation time series and displacement velocity maps. In this work we present an advanced interferometric processing chain, based on the Parallel SBAS (P-SBAS) approach, for the massive processing of S1 Interferometric Wide Swath (IWS) data aimed at generating deformation time series in efficient, automatic and systematic way. Such a DInSAR chain is designed to exploit distributed computing infrastructures, and more specifically Cloud Computing environments, to properly deal with the storage and the processing of huge S1 datasets. In particular, since S1 IWS data are acquired with the innovative Terrain Observation with Progressive Scans (TOPS) mode, we could benefit from the structure of S1 data, which are composed by bursts that can be considered as separate acquisitions. Indeed, the processing is intrinsically parallelizable with respect to such independent input data and therefore we basically exploited this coarse granularity parallelization strategy in the majority of the steps of the SBAS processing chain. Moreover, we also implemented more sophisticated parallelization approaches, exploiting both multi-node and multi

  8. Feature Fusion Based on Convolutional Neural Network for SAR ATR

    Directory of Open Access Journals (Sweden)

    Chen Shi-Qi

    2017-01-01

    Full Text Available Recent breakthroughs in algorithms related to deep convolutional neural networks (DCNN have stimulated the development of various of signal processing approaches, where the specific application of Automatic Target Recognition (ATR using Synthetic Aperture Radar (SAR data has spurred widely attention. Inspired by the more efficient distributed training such as inception architecture and residual network, a new feature fusion structure which jointly exploits all the merits of each version is proposed to reduce the data dimensions and the complexity of computation. The detailed procedure presented in this paper consists of the fused features, which make the representation of SAR images more distinguishable after the extraction of a set of features from DCNN, followed by a trainable classifier. In particular, the obtained results on the 10-class benchmark data set demonstrate that the presented architecture can achieve remarkable classification performance to the current state-of-the-art methods.

  9. Neural network training as a dissipative process.

    Science.gov (United States)

    Gori, Marco; Maggini, Marco; Rossi, Alessandro

    2016-09-01

    This paper analyzes the practical issues and reports some results on a theory in which learning is modeled as a continuous temporal process driven by laws describing the interactions of intelligent agents with their own environment. The classic regularization framework is paired with the idea of temporal manifolds by introducing the principle of least cognitive action, which is inspired by the related principle of mechanics. The introduction of the counterparts of the kinetic and potential energy leads to an interpretation of learning as a dissipative process. As an example, we apply the theory to supervised learning in neural networks and show that the corresponding Euler-Lagrange differential equations can be connected to the classic gradient descent algorithm on the supervised pairs. We give preliminary experiments to confirm the soundness of the theory. Copyright © 2016 Elsevier Ltd. All rights reserved.

  10. Holistic face training enhances face processing in developmental prosopagnosia

    Science.gov (United States)

    Cohan, Sarah; Nakayama, Ken

    2014-01-01

    Prosopagnosia has largely been regarded as an untreatable disorder. However, recent case studies using cognitive training have shown that it is possible to enhance face recognition abilities in individuals with developmental prosopagnosia. Our goal was to determine if this approach could be effective in a larger population of developmental prosopagnosics. We trained 24 developmental prosopagnosics using a 3-week online face-training program targeting holistic face processing. Twelve subjects with developmental prosopagnosia were assessed before and after training, and the other 12 were assessed before and after a waiting period, they then performed the training, and were then assessed again. The assessments included measures of front-view face discrimination, face discrimination with view-point changes, measures of holistic face processing, and a 5-day diary to quantify potential real-world improvements. Compared with the waiting period, developmental prosopagnosics showed moderate but significant overall training-related improvements on measures of front-view face discrimination. Those who reached the more difficult levels of training (‘better’ trainees) showed the strongest improvements in front-view face discrimination and showed significantly increased holistic face processing to the point of being similar to that of unimpaired control subjects. Despite challenges in characterizing developmental prosopagnosics’ everyday face recognition and potential biases in self-report, results also showed modest but consistent self-reported diary improvements. In summary, we demonstrate that by using cognitive training that targets holistic processing, it is possible to enhance face perception across a group of developmental prosopagnosics and further suggest that those who improved the most on the training task received the greatest benefits. PMID:24691394

  11. Holistic face training enhances face processing in developmental prosopagnosia.

    Science.gov (United States)

    DeGutis, Joseph; Cohan, Sarah; Nakayama, Ken

    2014-06-01

    Prosopagnosia has largely been regarded as an untreatable disorder. However, recent case studies using cognitive training have shown that it is possible to enhance face recognition abilities in individuals with developmental prosopagnosia. Our goal was to determine if this approach could be effective in a larger population of developmental prosopagnosics. We trained 24 developmental prosopagnosics using a 3-week online face-training program targeting holistic face processing. Twelve subjects with developmental prosopagnosia were assessed before and after training, and the other 12 were assessed before and after a waiting period, they then performed the training, and were then assessed again. The assessments included measures of front-view face discrimination, face discrimination with view-point changes, measures of holistic face processing, and a 5-day diary to quantify potential real-world improvements. Compared with the waiting period, developmental prosopagnosics showed moderate but significant overall training-related improvements on measures of front-view face discrimination. Those who reached the more difficult levels of training ('better' trainees) showed the strongest improvements in front-view face discrimination and showed significantly increased holistic face processing to the point of being similar to that of unimpaired control subjects. Despite challenges in characterizing developmental prosopagnosics' everyday face recognition and potential biases in self-report, results also showed modest but consistent self-reported diary improvements. In summary, we demonstrate that by using cognitive training that targets holistic processing, it is possible to enhance face perception across a group of developmental prosopagnosics and further suggest that those who improved the most on the training task received the greatest benefits. © The Author (2014). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For

  12. Competence model in education and training process

    OpenAIRE

    Kovac, Darko

    2008-01-01

    Traditional learning processes in contemporary management practice, especially in global business environment, are being challenged by new approaches. They can not be avoided in the hospitality and tourism industry. Kolb’s experimental learning model is a solid base to build on. Experimental learning theory uses personal and group experiences while taking participants through various stages of learning associated with the theory. However, when talking about concrete experience, reflective obs...

  13. An evaluation of processing InSAR Sentinel-1A/B data for correlation of mining subsidence with mining induced tremors in the Upper Silesian Coal Basin (Poland

    Directory of Open Access Journals (Sweden)

    Krawczyk Artur

    2018-01-01

    Full Text Available The Satellite Radar Interferometry is one of the common methods that allow to measure the land subsidence caused by the underground black coal excavation. The interferometry images processed from the repeat-pass Synthetic Aperture Radar (SAR systems give the spatial image of the terrain subjected to the surface subsidence over mining areas. Until now, the InSAR methods using data from the SAR Systems like ERS-1/ERS-2 and Envisat-1 were limited to a repeat-pass cycle of 35-day only. Recently, the ESA launched Sentinel-1A and 1B, and together they can provide the InSAR coverage in a 6-day repeat cycle. The studied area was the Upper Silesian Coal Basin in Poland, where the underground coal mining causes continuous subsidence of terrain surface and mining tremors (mine-induced seismicity. The main problem was with overlapping the subsidence caused by the mining exploitation with the epicentre tremors. Based on the Sentinel SAR images, research was done in regard to the correlation between the short term ground subsidence range border and the mine-induced seismicity epicentres localisation.

  14. An evaluation of processing InSAR Sentinel-1A/B data for correlation of mining subsidence with mining induced tremors in the Upper Silesian Coal Basin (Poland)

    Science.gov (United States)

    Krawczyk, Artur; Grzybek, Radosław

    2018-01-01

    The Satellite Radar Interferometry is one of the common methods that allow to measure the land subsidence caused by the underground black coal excavation. The interferometry images processed from the repeat-pass Synthetic Aperture Radar (SAR) systems give the spatial image of the terrain subjected to the surface subsidence over mining areas. Until now, the InSAR methods using data from the SAR Systems like ERS-1/ERS-2 and Envisat-1 were limited to a repeat-pass cycle of 35-day only. Recently, the ESA launched Sentinel-1A and 1B, and together they can provide the InSAR coverage in a 6-day repeat cycle. The studied area was the Upper Silesian Coal Basin in Poland, where the underground coal mining causes continuous subsidence of terrain surface and mining tremors (mine-induced seismicity). The main problem was with overlapping the subsidence caused by the mining exploitation with the epicentre tremors. Based on the Sentinel SAR images, research was done in regard to the correlation between the short term ground subsidence range border and the mine-induced seismicity epicentres localisation.

  15. Specific features of elite bodybuilders’ training process in competition period

    Directory of Open Access Journals (Sweden)

    A.A. Tihorsky

    2016-12-01

    Full Text Available Purpose: To substantiate methodic of training process construction for elite bodybuilders in competition period with usage of different training methods. Material: elite bodybuilders - members of combined team of Ukraine (n=16 participated in the research. Results: we presented comparative characteristic of the most often used bodybuilding training methodic. Besides, optimal training methodic in competition period was worked out and substantiated. Such methodic permits to improve body proportions at the account of fat layer reduction. By the data of Harvard step-test the sportsmen improved organism’s functional potentials by 6%. Conclusions: the offered methodic noticeably reduces probability of functional unfavorable states (over-training, overloading, traumas. The methodic permits to achieve the required sport form without over-tension adaptation-compensatory mechanisms and acquire maximal muscular relief; improve proportions with minimal losses of muscles’ volume.

  16. Using new Web technologies in training process management

    Directory of Open Access Journals (Sweden)

    Milenković Vesko

    2015-01-01

    Full Text Available Training management is a very complex process involving number of activities related to the formation and training movement techniques of athletes, as well as their physical and psychological characteristics, in order to achieve results in the competitions, especially the strongest ones. There are a lot of resources in recent theory and practice of professional sport related to this issue. In order to efficiently use its content, it is essential to create the system that will provide better insight into the state of preparedness of athletes, as well as adequate influence on the factors for the achievement of planned results. The application of modern information technologies is inevitable in this case, since relevant content could properly use. The subject of this paper is the overview of software for the training management called Content/Knowledge Provision (CKP service, that is developed within the scientific project called IntelLEO under the FP7 EU Program. The software aims to facilitate collaboration among the various participants involved in the training process. During the training process there can occur several problems in the realization of work plan and program and that can't be solved using the trainer knowledge by itself. Depending of the type of problem, the trainer needs to communicate with different field experts, by using the CKP service. This forms an overall picture of the athletes' physical and psychological characteristics improving the performance of the training process on that way.

  17. On the Implementation of a Land Cover Classification System for SAR Images Using Khoros

    Science.gov (United States)

    Medina Revera, Edwin J.; Espinosa, Ramon Vasquez

    1997-01-01

    The Synthetic Aperture Radar (SAR) sensor is widely used to record data about the ground under all atmospheric conditions. The SAR acquired images have very good resolution which necessitates the development of a classification system that process the SAR images to extract useful information for different applications. In this work, a complete system for the land cover classification was designed and programmed using the Khoros, a data flow visual language environment, taking full advantages of the polymorphic data services that it provides. Image analysis was applied to SAR images to improve and automate the processes of recognition and classification of the different regions like mountains and lakes. Both unsupervised and supervised classification utilities were used. The unsupervised classification routines included the use of several Classification/Clustering algorithms like the K-means, ISO2, Weighted Minimum Distance, and the Localized Receptive Field (LRF) training/classifier. Different texture analysis approaches such as Invariant Moments, Fractal Dimension and Second Order statistics were implemented for supervised classification of the images. The results and conclusions for SAR image classification using the various unsupervised and supervised procedures are presented based on their accuracy and performance.

  18. Inputs and Process Factors Affecting the Quality of Training in ...

    African Journals Online (AJOL)

    Inputs and Process Factors Affecting the Quality of Training in Nekemte College of Teachers Education, Ethiopia. ... Processing them in the way that they can give benefit as it is desired was not at good condition in the college. In addition to this, absence of internal organizational services of the college, inadequacy of the ...

  19. Processors' training needs on modern shea butter processing ...

    African Journals Online (AJOL)

    The need for continual production of high quality shea butter in Nigeria through the use of modern processing technologies necessitated this study. The study was carried out to ascertain training needs of shea butter processors on modern processing technologies in North Central Agro-ecological zone of Nigeria. Primary ...

  20. Mock Nuclear Processing Facility-Safeguards Training Requirements

    Energy Technology Data Exchange (ETDEWEB)

    Gibbs, Philip [Brookhaven National Lab. (BNL), Upton, NY (United States); Hasty, Tim [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL); Johns, Rissell [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Baum, Gregory [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2014-08-31

    This document outlines specific training requirements in the topical areas of Material Control and Accounting (MC&A) and Physical Protection(PP) which are to be used as technical input for designing a mock Integrated Security Facility (ISF) at Sandia National Laboratories (SNL). The overall project objective for these requirements is to enhance the ability to deliver training on Material Protection Control and Accounting (MC&A) concepts regarding hazardous material such as irradiated materials with respect to bulk processing facilities.

  1. Change classification in SAR time series: a functional approach

    Science.gov (United States)

    Boldt, Markus; Thiele, Antje; Schulz, Karsten; Hinz, Stefan

    2017-10-01

    Change detection represents a broad field of research in SAR remote sensing, consisting of many different approaches. Besides the simple recognition of change areas, the analysis of type, category or class of the change areas is at least as important for creating a comprehensive result. Conventional strategies for change classification are based on supervised or unsupervised landuse / landcover classifications. The main drawback of such approaches is that the quality of the classification result directly depends on the selection of training and reference data. Additionally, supervised processing methods require an experienced operator who capably selects the training samples. This training step is not necessary when using unsupervised strategies, but nevertheless meaningful reference data must be available for identifying the resulting classes. Consequently, an experienced operator is indispensable. In this study, an innovative concept for the classification of changes in SAR time series data is proposed. Regarding the drawbacks of traditional strategies given above, it copes without using any training data. Moreover, the method can be applied by an operator, who does not have detailed knowledge about the available scenery yet. This knowledge is provided by the algorithm. The final step of the procedure, which main aspect is given by the iterative optimization of an initial class scheme with respect to the categorized change objects, is represented by the classification of these objects to the finally resulting classes. This assignment step is subject of this paper.

  2. Psychiatry training in the United Kingdom--part 2: the training process.

    Science.gov (United States)

    Christodoulou, N; Kasiakogia, K

    2015-01-01

    In the second part of this diptych, we shall deal with psychiatric training in the United Kingdom in detail, and we will compare it--wherever this is meaningful--with the equivalent system in Greece. As explained in the first part of the paper, due to the recently increased emigration of Greek psychiatrists and psychiatric trainees, and the fact that the United Kingdom is a popular destination, it has become necessary to inform those aspiring to train in the United Kingdom of the system and the circumstances they should expect to encounter. This paper principally describes the structure of the United Kingdom's psychiatric training system, including the different stages trainees progress through and their respective requirements and processes. Specifically, specialty and subspecialty options are described and explained, special paths in training are analysed, and the notions of "special interest day" and the optional "Out of programme experience" schemes are explained. Furthermore, detailed information is offered on the pivotal points of each of the stages of the training process, with special care to explain the important differences and similarities between the systems in Greece and the United Kingdom. Special attention is given to The Royal College of Psychiatrists' Membership Exams (MRCPsych) because they are the only exams towards completing specialisation in Psychiatry in the United Kingdom. Also, the educational culture of progressing according to a set curriculum, of utilising diverse means of professional development, of empowering the trainees' autonomy by allowing initiative-based development and of applying peer supervision as a tool for professional development is stressed. We conclude that psychiatric training in the United Kingdom differs substantially to that of Greece in both structure and process. Τhere are various differences such as pure psychiatric training in the United Kingdom versus neurological and medical modules in Greece, in-training

  3. Severe acute respiratory syndrome (SARS)

    Science.gov (United States)

    SARS; Respiratory failure - SARS ... Complications may include: Respiratory failure Liver failure Heart failure ... 366. McIntosh K, Perlman S. Coronaviruses, including severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). ...

  4. INNOVATIVE TENDENCIES OF FUTURE MUSIC TEACHERS’ SINGING TRAINING IN THE PROCESS OF PROFESSIONAL TRAINING

    Directory of Open Access Journals (Sweden)

    Si Daofen

    2017-04-01

    Full Text Available In the article the innovative tendencies of singing training of Art institutes students at pedagogical universities is presented. The issue introduced in the article is relevant as processes of modernization of higher art and pedagogical education require implementing new scientific approaches and innovative technologies into future music teachers’ training to ensure the comprehensive development of a young generation in modern conditions. So the aim of the article is to disclose the main features of implementing innovative technologies into future music teachers’ training. The analysis of pedagogical and psychological literature shows that the main features of methodological training to work with schoolchildren are the following: mastering professional knowledge, taking into account characteristics of adults’ and children’s phonation; considering aesthetical and value qualities of vocal sound according to modern standards of singers’ training; comprehensive development of vocal, melodic and harmonic hearing; an ability to get schoolchildren’s correct vocal sound; developing skills of methodological analysis of singing process. Due to analysis of scientific works by V. Antoniuk, N. Hrebeniuk, V. Morozov it is reported that efficiency of students and singers’ performance depends on their readiness to make independent decisions in practical creative and performing process, that is a general tendency in the singing training. That’s why one of the main objectives of future music teacher training to performing activities during the years of study is thought to be developing singers’ independence. Among the most effective innovative technologies of future music teachers’ singing training the author proposes technologies of vocal and choral performance by V. Yemelianova, V. Morozova, H. Struve. It is proved that none of innovative concepts, discussed in the article, cannot be mechanically implemented in current national conditions

  5. Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images

    Directory of Open Access Journals (Sweden)

    Nina Merkle

    2017-06-01

    Full Text Available Improving the geo-localization of optical satellite images is an important pre-processing step for many remote sensing tasks like monitoring by image time series or scene analysis after sudden events. These tasks require geo-referenced and precisely co-registered multi-sensor data. Images captured by the high resolution synthetic aperture radar (SAR satellite TerraSAR-X exhibit an absolute geo-location accuracy within a few decimeters. These images represent therefore a reliable source to improve the geo-location accuracy of optical images, which is in the order of tens of meters. In this paper, a deep learning-based approach for the geo-localization accuracy improvement of optical satellite images through SAR reference data is investigated. Image registration between SAR and optical images requires few, but accurate and reliable matching points. These are derived from a Siamese neural network. The network is trained using TerraSAR-X and PRISM image pairs covering greater urban areas spread over Europe, in order to learn the two-dimensional spatial shifts between optical and SAR image patches. Results confirm that accurate and reliable matching points can be generated with higher matching accuracy and precision with respect to state-of-the-art approaches.

  6. A 1 V 186-μW 50-MS/s 10-bit subrange SAR ADC in 130-nm CMOS process

    Science.gov (United States)

    Mingyuan, Yu; Ting, Li; Jiaqi, Yang; Shuangshuang, Zhang; Fujiang, Lin; Lin, He

    2016-07-01

    This paper presents a 10-bit 50-MS/s subrange successive-approximation register (SAR) analog-to-digital converter (ADC) composed of a 4-bit SAR coarse ADC and a 6-bit SAR fine ADC. In the coarse ADC, multi-comparator SAR architecture is used to reduce the digital logic propagation delay, and a traditional asynchronous SAR ADC with monotonic switching method is used as the fine ADC. With that combination, power dissipation also can be much reduced. Meanwhile, a modified SAR control logic is adopted in the fine ADC to speed up the conversion and other techniques, such as splitting capacitors array, are borrowed to reduce the power consumption. Fabricated with 1P8M 130-nm CMOS technology, the proposed SAR ADC achieves 51.6-dB signal to noise and distortion ratio (SNDR) and consumes 186 μW at 50 MS/s with a 1-V supply, resulting in a figure of merit (FOM) of 12 fJ/conversion-step. The core area is only 0.045 mm2. Project supported by the National Natural Science Foundation of China (Nos. 61204033, 61331015), the Fundamental Research Funds for the Central Universities (No. WK2100230015), and the Funds of Science and Technology on Analog Integrated Circuit Laboratory (No. 9140C090111150C09041).

  7. Feedback Specificity, Information Processing, and Transfer of Training

    Science.gov (United States)

    Goodman, Jodi S.; Wood, Robert E.; Chen, Zheng

    2011-01-01

    This study examines the effects of feedback specificity on transfer of training and the mechanisms through which feedback can enhance or inhibit transfer. We used concurrent verbal protocol methodology to elicit and operationalize the explicit information processing activities used by 48 trainees performing the Furniture Factory computer…

  8. Harmonizing the Writing Process with Music Training Techniques

    Science.gov (United States)

    Riecken, Nancy

    2009-01-01

    Can music help students become better thinkers and writers? Over the past three years, the author has incorporated some basic music training techniques in her classrooms to help her teach the writing process to students who would otherwise click her off. The students have developed clearer thinking and organizational skills, and have increased…

  9. Noise Removal in SAR Images using Orthonormal Ridgelet Transform

    OpenAIRE

    A. Ravi,; Dr. P.V.Naganjaneyulu

    2015-01-01

    Development in the field of image processing for reducing speckle noise from digital images/satellite images is a challenging task for image processing applications. Previously many algorithms were proposed to de-speckle the noise in digital images. Here in this article we are presenting experimental results on de-speckling of Synthetic Aperture RADAR (SAR) images. SAR images have wide applications in remote sensing and mapping the surfaces of all planets. SAR can also be implemen...

  10. Designing Training for Temporal and Adaptive Transfer: A Comparative Evaluation of Three Training Methods for Process Control Tasks

    Science.gov (United States)

    Kluge, Annette; Sauer, Juergen; Burkolter, Dina; Ritzmann, Sandrina

    2010-01-01

    Training in process control environments requires operators to be prepared for temporal and adaptive transfer of skill. Three training methods were compared with regard to their effectiveness in supporting transfer: Drill & Practice (D&P), Error Training (ET), and procedure-based and error heuristics training (PHT). Communication…

  11. Processing of angiotensin II (A-II) and (Sar1,Ala8)A-II by cultured bovine adrenocortical cells

    Energy Technology Data Exchange (ETDEWEB)

    Crozat, A.; Penhoat, A.; Saez, J.M.

    1986-06-01

    Bovine adrenocortical cells, cultured in a chemically defined medium, were used to study the fate of (/sup 125/I) iodoangiotensin II ((/sup 125/I)iodo-A-II) and its antagonist (Sar1,Ala8)A-II ((/sup 125/I)iodo-Saralasin). The binding of both ligands was time and temperature dependent. The maximum specific binding at 37 C, which was reached within 1 h, was followed by a decline with a half-life of about 2 h and 8 h for (/sup 125/I)iodo-A-II and (/sup 125/I)iodo-Saralasin, respectively. The decrease of the specific binding was parallel to the appearance in the medium of degraded ligand. At 4 C, the binding of (/sup 125/I)iodo-A-II was stable for 12 h and no degradation of ligand occurred. Under several experimental conditions, about 70% of the total (/sup 125/I)iodo-A-II bound was internalized, whereas, in the case of (/sup 125/I)iodo-Saralasin, less than 25% of the total bound ligand was internalized. These differences in the binding kinetics between A-II and its antagonist were mainly the differences in the rate of internalization of the bound ligands, more rapid for (/sup 125/I)iodo-A-II (t1/2 approximately equal to 10 min) than for (/sup 125/I)iodo-Saralasin (t1/2 = 90 min). On the other hand, the rate of degradation of internalized ligand was similar for both ligands (t1/2 = 15 min). Ionophore monensin enhanced the total cellular uptake of both ligands by increasing the amount of internalized ligands. Monensin did not modify the rate of internalization of the two ligands but markedly decreased their rate of degradation (t1/2 approximately equal to 60 min). These results indicate that both A-II and its antagonist are internalized and degraded by adrenocortical cells, but the rate of internalization of the antagonist is lower than that of the agonist.

  12. Processing of angiotensin II (A-II) and (Sar1,Ala8)A-II by cultured bovine adrenocortical cells.

    Science.gov (United States)

    Crozat, A; Penhoat, A; Saez, J M

    1986-06-01

    Bovine adrenocortical cells, cultured in a chemically defined medium, were used to study the fate of [125I] iodoangiotensin II ([125I]iodo-A-II) and its antagonist (Sar1,Ala8)A-II ([125I]iodo-Saralasin). The binding of both ligands was time and temperature dependent. The maximum specific binding at 37 C, which was reached within 1 h, was followed by a decline with a half-life of about 2 h and 8 h for [125I]iodo-A-II and [125I]iodo-Saralasin, respectively. The decrease of the specific binding was parallel to the appearance in the medium of degraded ligand. At 4 C, the binding of [125I]iodo-A-II was stable for 12 h and no degradation of ligand occurred. Under several experimental conditions, about 70% of the total [125I]iodo-A-II bound was internalized, whereas, in the case of [125I]iodo-Saralasin, less than 25% of the total bound ligand was internalized. These differences in the binding kinetics between A-II and its antagonist were mainly the differences in the rate of internalization of the bound ligands, more rapid for [125I]iodo-A-II (t1/2 approximately equal to 10 min) than for [125I]iodo-Saralasin (t1/2 = 90 min). On the other hand, the rate of degradation of internalized ligand was similar for both ligands (t1/2 = 15 min). Ionophore monensin enhanced the total cellular uptake of both ligands by increasing the amount of internalized ligands. Monensin did not modify the rate of internalization of the two ligands but markedly decreased their rate of degradation (t1/2 approximately equal to 60 min). These results indicate that both A-II and its antagonist are internalized and degraded by adrenocortical cells, but the rate of internalization of the antagonist is lower than that of the agonist. They also show that receptor-mediated endocytosis is the main pathway by which A-II is rapidly degraded by adrenocortical cells. Since A-II receptors are present in many tissues, the receptor-mediated degradation could explain the very short half-life in plasma of this

  13. SARS Pathogenesis: Host Factors

    NARCIS (Netherlands)

    A. de Lang (Anna)

    2012-01-01

    textabstractWhile it is hypothesized that Sever Acute Respiratory Syndrome (SARS) in humans is caused by a disproportional immune response illustrated by inappropriate induction of inflammatory cytokines, the exact nature of the host response to SARS coronavirus (CoV) infection causing severe

  14. Investigation of ionospheric effects on SAR Interferometry (InSAR): A case study of Hong Kong

    Science.gov (United States)

    Zhu, Wu; Ding, Xiao-Li; Jung, Hyung-Sup; Zhang, Qin; Zhang, Bo-Chen; Qu, Wei

    2016-08-01

    Synthetic Aperture Radar Interferometry (InSAR) has demonstrated its potential for high-density spatial mapping of ground displacement associated with earthquakes, volcanoes, and other geologic processes. However, this technique may be affected by the ionosphere, which can result in the distortions of Synthetic Aperture Radar (SAR) images, phases, and polarization. Moreover, ionospheric effect has become and is becoming further significant with the increasing interest in low-frequency SAR systems, limiting the further development of InSAR technique. Although some research has been carried out, thorough analysis of ionospheric influence on true SAR imagery is still limited. Based on this background, this study performs a thorough investigation of ionospheric effect on InSAR through processing L-band ALOS-1/PALSAR-1 images and dual-frequency Global Positioning System (GPS) data over Hong Kong, where the phenomenon of ionospheric irregularities often occurs. The result shows that the small-scale ionospheric irregularities can cause the azimuth pixel shifts and phase advance errors on interferograms. Meanwhile, it is found that these two effects result in the stripe-shaped features in InSAR images. The direction of the stripe-shaped effects keep approximately constant in space for our InSAR dataset. Moreover, the GPS-derived rate of total electron content change index (ROTI), an index to reflect the level of ionospheric disturbances, may be a useful indicator for predicting the ionospheric effect for SAR images. This finding can help us evaluate the quality of SAR images when considering the ionospheric effect.

  15. The CREST Simulation Development Process: Training the Next Generation.

    Science.gov (United States)

    Sweet, Robert M

    2017-04-01

    The challenges of training and assessing endourologic skill have driven the development of new training systems. The Center for Research in Education and Simulation Technologies (CREST) has developed a team and a methodology to facilitate this development process. Backwards design principles were applied. A panel of experts first defined desired clinical and educational outcomes. Outcomes were subsequently linked to learning objectives. Gross task deconstruction was performed, and the primary domain was classified as primarily involving decision-making, psychomotor skill, or communication. A more detailed cognitive task analysis was performed to elicit and prioritize relevant anatomy/tissues, metrics, and errors. Reference anatomy was created using a digital anatomist and clinician working off of a clinical data set. Three dimensional printing can facilitate this process. When possible, synthetic or virtual tissue behavior and textures were recreated using data derived from human tissue. Embedded sensors/markers and/or computer-based systems were used to facilitate the collection of objective metrics. A learning Verification and validation occurred throughout the engineering development process. Nine endourology-relevant training systems were created by CREST with this approach. Systems include basic laparoscopic skills (BLUS), vesicourethral anastomosis, pyeloplasty, cystoscopic procedures, stent placement, rigid and flexible ureteroscopy, GreenLight PVP (GL Sim), Percutaneous access with C-arm (CAT), Nephrolithotomy (NLM), and a vascular injury model. Mixed modalities have been used, including "smart" physical models, virtual reality, augmented reality, and video. Substantial validity evidence for training and assessment has been collected on systems. An open source manikin-based modular platform is under development by CREST with the Department of Defense that will unify these and other commercial task trainers through the common physiology engine, learning

  16. Academic Training: Real Time Process Control - Lecture series

    CERN Document Server

    Françoise Benz

    2004-01-01

    ACADEMIC TRAINING LECTURE REGULAR PROGRAMME 7, 8 and 9 June From 11:00 hrs to 12:00 hrs - Main Auditorium bldg. 500 Real Time Process Control T. Riesco / CERN-TS What exactly is meant by Real-time? There are several definitions of real-time, most of them contradictory. Unfortunately the topic is controversial, and there does not seem to be 100% agreement over the terminology. Real-time applications are becoming increasingly important in our daily lives and can be found in diverse environments such as the automatic braking system on an automobile, a lottery ticket system, or robotic environmental samplers on a space station. These lectures will introduce concepts and theory like basic concepts timing constraints, task scheduling, periodic server mechanisms, hard and soft real-time.ENSEIGNEMENT ACADEMIQUE ACADEMIC TRAINING Françoise Benz 73127 academic.training@cern.ch

  17. Electronic Data Processing. Report on Training. National EDP Skills and Training Needs Survey.

    Science.gov (United States)

    Wagner, Graham A.

    A national survey of electronic data processing (EDP) skills and training needs involved 16 representative firms that employed EDP staff. Separate semi-structured interview schedules were used to interview 266 job holders and 63 managers with responsibility for EDP staff and computing systems. Findings indicated 67 percent of EDP staff had not…

  18. TRAUMATISM IN TRAINING PROCESS OF STUDENTS - VOLLEYBALL PLAYERS

    Directory of Open Access Journals (Sweden)

    V.Ya. Kovalchuk

    2017-01-01

    Full Text Available Purpose: to analyze traumas in training process of students-volleyball players. Material: 42 students participated in the research. Students’ medical records were analyzed in the research. Results: with every year of study in university the quantity of traumas decreased. In 1st year students we found 10 traumas, in 4th year - 5. Ligament sprains are the most frequent kinds of traumas. In total we found 33.3%. Their main part covers ankle joint traumas. The reasons of them are bursts, stops, changes of movements’ direction. Rather frequents (30% are maims of knee and elbow joints, caused by falling down. The degree of joints’ injury is, as usually, negligible. The highest quantity of moderate and heavy traumas was among 1st year students (9 from 10 and 2nd year students (8 from 8. Conclusions: prophylaxis complex for prevention of volleyball traumas has been offered. Volleyball traumas’ prevention implies improvement methodic and technique of students-volleyball players’ training. The main reasons of traumatism are the following: non observation of sports training principles; poor organizational and logistical support of training process.

  19. Federated query services provided by the Seamless SAR Archive project

    Science.gov (United States)

    Baker, S.; Bryson, G.; Buechler, B.; Meertens, C. M.; Crosby, C. J.; Fielding, E. J.; Nicoll, J.; Youn, C.; Baru, C.

    2013-12-01

    The NASA Advancing Collaborative Connections for Earth System Science (ACCESS) seamless synthetic aperture radar (SAR) archive (SSARA) project is a 2-year collaboration between UNAVCO, the Alaska Satellite Facility (ASF), the Jet Propulsion Laboratory (JPL), and OpenTopography at the San Diego Supercomputer Center (SDSC) to design and implement a seamless distributed access system for SAR data and derived data products (i.e. interferograms). A major milestone for the first year of the SSARA project was a unified application programming interface (API) for SAR data search and results at ASF and UNAVCO (WInSAR and EarthScope data archives) through the use of simple web services. A federated query service was developed using the unified APIs, providing users a single search interface for both archives (http://www.unavco.org/ws/brokered/ssara/sar/search). A command line client that utilizes this new service is provided as an open source utility for the community on GitHub (https://github.com/bakerunavco/SSARA). Further API development and enhancements added more InSAR specific keywords and quality control parameters (Doppler centroid, faraday rotation, InSAR stack size, and perpendicular baselines). To facilitate InSAR processing, the federated query service incorporated URLs for DEM (from OpenTopography) and tropospheric corrections (from the JPL OSCAR service) in addition to the URLs for SAR data. This federated query service will provide relevant QC metadata for selecting pairs of SAR data for InSAR processing and all the URLs necessary for interferogram generation. Interest from the international community has prompted an effort to incorporate other SAR data archives (the ESA Virtual Archive 4 and the DLR TerraSAR-X_SSC Geohazard Supersites and Natural Laboratories collections) into the federated query service which provide data for researchers outside the US and North America.

  20. Ionospheric Specifications for SAR Interferometry (ISSI)

    Science.gov (United States)

    Pi, Xiaoqing; Chapman, Bruce D; Freeman, Anthony; Szeliga, Walter; Buckley, Sean M.; Rosen, Paul A.; Lavalle, Marco

    2013-01-01

    The ISSI software package is designed to image the ionosphere from space by calibrating and processing polarimetric synthetic aperture radar (PolSAR) data collected from low Earth orbit satellites. Signals transmitted and received by a PolSAR are subject to the Faraday rotation effect as they traverse the magnetized ionosphere. The ISSI algorithms combine the horizontally and vertically polarized (with respect to the radar system) SAR signals to estimate Faraday rotation and ionospheric total electron content (TEC) with spatial resolutions of sub-kilometers to kilometers, and to derive radar system calibration parameters. The ISSI software package has been designed and developed to integrate the algorithms, process PolSAR data, and image as well as visualize the ionospheric measurements. A number of tests have been conducted using ISSI with PolSAR data collected from various latitude regions using the phase array-type L-band synthetic aperture radar (PALSAR) onboard Japan Aerospace Exploration Agency's Advanced Land Observing Satellite mission, and also with Global Positioning System data. These tests have demonstrated and validated SAR-derived ionospheric images and data correction algorithms.

  1. Interplay Between Tectonics And Volcanic Processes Active In The Yellowstone Caldera Detected Via DInSAR And GPS Time-Series

    Science.gov (United States)

    Tizzani, Pietro; Battaglia, Maurizio; Castaldo, Raffaele; Pepe, Antonio; Zeni, Giovanni; Lanari, Riccardo

    2014-05-01

    We discriminate and quantify the effects of different stress sources that are active in the Yellowstone volcanic region. In particular, the use of long-term deformation time series allows us to separate the spatial and temporal contributions of the regional tectonic field due to North American (NA) plate motion from the dynamic of magmatic/hydrothermal sources beneath the caldera area. Yellowstone volcano was formed by three major caldera forming eruptions that occurred around 2.0, 1.3 and 0.64 Ma, the most recent one responsible for the 60 km-wide and 40 km-long Yellowstone caldera. Two structural resurgent domes emerged after the last caldera forming eruption: the Mallard Lake (ML) resurgent dome in the southwestern region of Yellowstone caldera, and the Sour Creek (SC) resurgent dome in the northeast part of the caldera. In this work, we extensively exploit DInSAR and GPS measurements to investigate surface deformation at Yellowstone caldera over the last 18 years. We start by analyzing the 1992-2010 deformation time series retrieved by applying the Small BAseline Subset (SBAS) DInSAR technique. This allows us identifying three macro-areas: i) Norris Geyser Basin (NGB), ii) ML and SC resurgent domes and iii) Snake River Plain (SRP), characterized by unique deformation behaviors. In particular, SRP shows a signal related to tectonic deformation, while the other two regions are influenced by the caldera unrest. To isolate the deformation signals related to different stress sources in the Yellowstone caldera, we also remove from the retrieved mean deformation velocity maps the mean displacement rate associated to the northern sector of the Snake River Plain. This latter is the result of tectonic processes controlled by complex interactions between the NA plate, moving in the ENE - WSW direction with a rate of about 2 cm/yr, and the flow of the asthenosphere plume beneath the Yellowstone volcanic region. These de-trended data allow recognizing four major deformation

  2. Stochastic Approach in Wet Snow Detection Using Multitemporal SAR Data

    OpenAIRE

    Besic, Nikola; Vasile, Gabriel; Dedieu, Jean-Pierre; Chanussot, Jocelyn; Stankovic, Srdjan

    2015-01-01

    International audience; This paper introduces an alternative strategy for wet snow detection using multitemporal SAR data. The proposed change detection method is primarily based on the comparison between two X band SAR images acquired during the accumulation (winter) and the melting (spring) seasons, in the French Alps. The new decision criterion relies on the local intensity statistics of the SAR images by considering the backscattering ratio as a stochastic process: the probability that "t...

  3. The construction of the training process highly skilled athletes in soccer and field hockey in the annual cycle of training

    Directory of Open Access Journals (Sweden)

    Kostyukevych V.M.

    2013-08-01

    Full Text Available The purpose of the study - to justify the theoretical and methodological principles and concepts of the training process of building highly skilled athletes in soccer and field hockey in the annual cycle of training. The results . Calculate the ratio of training loads of different orientation in the annual cycle of training. Means of producing football players in the annual training cycle is as follows: non-specific (general training exercise - 45.6%, specific - 54.4% (special training exercise - 4.1% subsidiary - 22, 7%, competitive - 27.6% . Means of producing players in the annual training cycle is as follows: non-specific (general training exercise - 49.0%, specific - 51.0% (special training - 2.3% subsidiary - 26.1%, competitive exercise - 22.0% .

  4. Satellite on-board real-time SAR processor prototype

    Science.gov (United States)

    Bergeron, Alain; Doucet, Michel; Harnisch, Bernd; Suess, Martin; Marchese, Linda; Bourqui, Pascal; Desnoyers, Nicholas; Legros, Mathieu; Guillot, Ludovic; Mercier, Luc; Châteauneuf, François

    2017-11-01

    A Compact Real-Time Optronic SAR Processor has been successfully developed and tested up to a Technology Readiness Level of 4 (TRL4), the breadboard validation in a laboratory environment. SAR, or Synthetic Aperture Radar, is an active system allowing day and night imaging independent of the cloud coverage of the planet. The SAR raw data is a set of complex data for range and azimuth, which cannot be compressed. Specifically, for planetary missions and unmanned aerial vehicle (UAV) systems with limited communication data rates this is a clear disadvantage. SAR images are typically processed electronically applying dedicated Fourier transformations. This, however, can also be performed optically in real-time. Originally the first SAR images were optically processed. The optical Fourier processor architecture provides inherent parallel computing capabilities allowing real-time SAR data processing and thus the ability for compression and strongly reduced communication bandwidth requirements for the satellite. SAR signal return data are in general complex data. Both amplitude and phase must be combined optically in the SAR processor for each range and azimuth pixel. Amplitude and phase are generated by dedicated spatial light modulators and superimposed by an optical relay set-up. The spatial light modulators display the full complex raw data information over a two-dimensional format, one for the azimuth and one for the range. Since the entire signal history is displayed at once, the processor operates in parallel yielding real-time performances, i.e. without resulting bottleneck. Processing of both azimuth and range information is performed in a single pass. This paper focuses on the onboard capabilities of the compact optical SAR processor prototype that allows in-orbit processing of SAR images. Examples of processed ENVISAT ASAR images are presented. Various SAR processor parameters such as processing capabilities, image quality (point target analysis), weight and

  5. From Humanizing the Educational Process to Professionally Mobile Specialists Training

    Directory of Open Access Journals (Sweden)

    T. A. Fugelova

    2012-01-01

    Full Text Available Training professional mobile specialists capable of responding flexibly to dynamic changes in society is considered to be the most important issue of the modern educational system. The paper justifies the idea that technical universities should take responsibility for solving this problem by means of humanization of technical education, which implies reconsidering its values and general notions. For overcoming the technocratic trends, the author recommends to cultivate the value of professionalism in the humanization context.Professionalism is defined by using the «professional service» idea as a «purpose acknowledgment, supertask, even a mission». The main components of the above attitude lie in finding the harmony with the world and its basic values. Therefore, technical universities face the challenge of training people of intelligence with a high moral and business responsibility. The basic value of such a person is regarded as «dedication to the cause» - the constant desire to improve the world and leave behind them- selves something of value to society. For training such specialists, the educational process should provide teachers dialogue and collaboration with students to facilitate the process of self-determination and self-development of the prospective specialists. 

  6. Bistatic SAR: State of the Art and Development Trend

    Directory of Open Access Journals (Sweden)

    Zeng Tao

    2012-12-01

    Full Text Available Bistatic SAR (BiSAR systems have attracted the interests from global researchers and become a hotspot in the international radar community due to the progress of radar technology and rapidly increased applications nowadays. Based on the BiSAR experiments and breakthrough of the key technology, the paper summarized the general progresses of BiSAR systems, especially in European radar community, from different aspects such as system design, processing idea and topology etc. Different bistatic image formation algorithms have been analyzed and reviewed. Finally, the development trend is discussed in the paper.

  7. SARS Requests for Information

    National Research Council Canada - National Science Library

    Rob Hare

    2016-01-01

      It is an increasingly common scenario: the South African Revenue Service (SARS) sends a taxpayer a request for information and, if it does not receive a response, proceeds to issue tax assessments against that taxpayer...

  8. New tendencies in designing of training processes for the youth

    Directory of Open Access Journals (Sweden)

    Međedović Bojan

    2017-01-01

    Full Text Available As a result of modern sedentary lifestyles, which entails passive leisure activities, young people are also often not physically prepared for the rigors of youth sports activities. On the other hand, there has been a significant increase of participation in organized youth sport, which has been accompanied by dramatic increase in sport-related injuries. Inadequate physical preparation is believed to be a risk factor in most sports-related injuries in young athletes, and physical preparation that includes strength and neuro-muscular training is therefore a part of strategy for prevention of sport injuries. As the benefits of physical preparation for young athletes are known and recognised, the aim of this review article is to point out some specificities of the youth training processes, as well as the various aspects of physical preparation of young athletes for organized competitive sports activities.

  9. Rupture process of the 2016 Mw 7.8 Ecuador earthquake from joint inversion of InSAR data and teleseismic P waveforms

    Science.gov (United States)

    Yi, Lei; Xu, Caijun; Wen, Yangmao; Zhang, Xu; Jiang, Guoyan

    2018-01-01

    The 2016 Ecuador earthquake ruptured the Ecuador-Colombia subduction interface where several historic megathrust earthquakes had occurred. In order to determine a detailed rupture model, Interferometric Synthetic Aperture Radar (InSAR) images and teleseismic data sets were objectively weighted by using a modified Akaika's Bayesian Information Criterion (ABIC) method to jointly invert for the rupture process of the earthquake. In modeling the rupture process, a constrained waveform length method, unlike the traditional subjective selected waveform length method, was used since the lengths of inverted waveforms were strictly constrained by the rupture velocity and rise time (the slip duration time). The optimal rupture velocity and rise time of the earthquake were estimated from grid search, which were determined to be 2.0 km/s and 20 s, respectively. The inverted model shows that the event is dominated by thrust movement and the released moment is 5.75 × 1020 Nm (Mw 7.77). The slip distribution extends southward along the Ecuador coast line in an elongated stripe at a depth between 10 and 25 km. The slip model is composed of two asperities and slipped over 4 m. The source time function is approximate 80 s that separated into two segments corresponding to the two asperities. The small magnitude of the slip occurred in the updip section of the fault plane resulted in small tsunami waves that were verified by observations near the coast. We suggest a possible situation that the rupture zone of the 2016 earthquake is likely not overlapped with that of the 1942 earthquake.

  10. Joint inversion of GPS, InSAR and teleseismic data sets for the rupture process of the 2015 Gorkha, Nepal, earthquake using a generalized ABIC method

    Science.gov (United States)

    Yi, Lei; Xu, Caijun; Zhang, Xu; Wen, Yangmao; Jiang, Guoyan; Li, Mengkui; Wang, Yuebin

    2017-10-01

    Various observations are made to invert for the source model of the 2015 Gorkha earthquake. Previously published slip models involve different slip distributions and slip amplitudes. To obtain a robust model, we jointly invert for the rupture process of the Gorkha earthquake using three types of observations: Global Positioning System (GPS), Interferometric Synthetic Aperture Radar (InSAR), and teleseismic P wave data. Three constraints (i.e., spatial and temporal smoothness and minimum moment constraints) are applied to regulate the rupture process. The weight ratios between data sets and prior constraints are determined from a new developed generalized Akaike's Bayesian Information Criterion (gABIC) weight determination method. This gABIC method can simultaneously and objectively weigh various kinds of observations and prior constraints, rather than being limited to the two types in the traditional ABIC method. The inverted slip model reveals the seismic moment of the earthquake is 9.40 × 1020 N m released primarily in the first 60 s, equivalent to Mw 7.92. The rupture front propagates unilaterally along the strike direction and spreads in both the strike and dip directions. The slip distribution shows one large slip patch with two peaks along the strike direction with a maximum slip amplitude of approximately 7.6 m and identifies large slips (> 2 m) that occur in the updip section of the Main Himalayan Thrust (MHT) fault plane. Our results indicate that the released slip amplitude is larger than the accumulated slip amplitude since 1833, so the 2015 earthquake likely does not overlap with the 1833 earthquake.

  11. TomoSAR Platform: The New Irstea Service as Demand for SAR, Interferometry, Polarimetry and Tomography

    Science.gov (United States)

    Ho Tong Minh, Dinh; Ngo, Yen-Nhi; Baghdadi, Nicolas; Maurel, Pierre

    2016-08-01

    Developing and improving methods to monitor both natural and non-natural environments such as forest and urban in space and time is a timely challenge. To overcome this challenge, we created a software platform - TomoSAR. The kernel of this platform supports the entire processing from SAR, Interferometry, Polarimetry, to Tomography (so called TomoSAR). The objective of this paper is to introduce this platform about its design architecture and its capacity. We showed four examples to highlight the TomoSAR platform capacities. First, the useful of the interferometric coherence of TOPS Sentinel-1 for land cover classification was highlighted. Second, a TOPS Sentinel-1 differential interferogram in a complex scenario volcano was successfully produced. Third, a TOPS Persistent Scatterers Interferometry analysis for estimating subsidence in Ho Chi Minh City area was demonstrated. Finally, the capability of processing and modelling of 3D P-band tomography in volume forest scattering were reported.

  12. Monitoring Building Deformation with InSAR: Experiments and Validation.

    Science.gov (United States)

    Yang, Kui; Yan, Li; Huang, Guoman; Chen, Chu; Wu, Zhengpeng

    2016-12-20

    Synthetic Aperture Radar Interferometry (InSAR) techniques are increasingly applied for monitoring land subsidence. The advantages of InSAR include high accuracy and the ability to cover large areas; nevertheless, research validating the use of InSAR on building deformation is limited. In this paper, we test the monitoring capability of the InSAR in experiments using two landmark buildings; the Bohai Building and the China Theater, located in Tianjin, China. They were selected as real examples to compare InSAR and leveling approaches for building deformation. Ten TerraSAR-X images spanning half a year were used in Permanent Scatterer InSAR processing. These extracted InSAR results were processed considering the diversity in both direction and spatial distribution, and were compared with true leveling values in both Ordinary Least Squares (OLS) regression and measurement of error analyses. The detailed experimental results for the Bohai Building and the China Theater showed a high correlation between InSAR results and the leveling values. At the same time, the two Root Mean Square Error (RMSE) indexes had values of approximately 1 mm. These analyses show that a millimeter level of accuracy can be achieved by means of InSAR technique when measuring building deformation. We discuss the differences in accuracy between OLS regression and measurement of error analyses, and compare the accuracy index of leveling in order to propose InSAR accuracy levels appropriate for monitoring buildings deformation. After assessing the advantages and limitations of InSAR techniques in monitoring buildings, further applications are evaluated.

  13. INFORMATION TECHNOLOGIES IN THE PROCESS OF TRAINING MARITIME SPECIALISTS

    Directory of Open Access Journals (Sweden)

    Ulyana Lyashenko

    2015-10-01

    Full Text Available The article represents main questions concerning usage of the newest information-communicative technologies of maritime educational establishments in the process of training specialists of corresponding specialities; reviews the problem of training cadets of Maritime educational institutions by means of information technologies while studying professionally focused disciplines; means of implementation information technologies into the educational process and their practical usage in future professional activity on board a ship are disclosed; the importance of online communications in teaching foreign language speaking, listening comprehension, writing and test tasks implementation to control forming of cadet’s lexical, phonetic and grammar skills are proved; presentations of authentic professionally oriented materials from the newest electronic sources on lectures on disciplines «Marine diesel installations», «Power management system», «Radio-navigational devices and systems». The author of the article grounds practicability of implementation of the newest information communicative technologies into educational process in classroom and extracurricular work, cadets are given an opportunity to get authentic professionally focused information on professional discipline, to extend knowledge on these disciplines and to realize control of formation corresponding competences.

  14. Design and optimization of a fiber optic data link for new generation on-board SAR processing architectures

    Science.gov (United States)

    Ciminelli, Caterina; Dell'Olio, Francesco; Armenise, Mario N.; Iacomacci, Francesco; Pasquali, Franca; Formaro, Roberto

    2017-11-01

    A fiber optic digital link for on-board data handling is modeled, designed and optimized in this paper. Design requirements and constraints relevant to the link, which is in the frame of novel on-board processing architectures, are discussed. Two possible link configurations are investigated, showing their advantages and disadvantages. An accurate mathematical model of each link component and the entire system is reported and results of link simulation based on those models are presented. Finally, some details on the optimized design are provided.

  15. UAVSAR: InSAR and PolSAR Test Bed for the Proposed NI-SAR Mission

    Science.gov (United States)

    Jones, C. E.; Hensley, S.; Lou, Y.

    2014-12-01

    UAVSAR, which first became operational in 2009, has served as an operational testbed for the NI-SAR L-band radar concept and a unique instrument in its own right. UAVSAR supports a broad array of basic and applied geoscience, covering on smaller scale all the disciplines NI-SAR would be able to address on a global scale. Although designed specifically to provide high accuracy repeated flight tracks and precise imaging geometry for InSAR-based solid earth studies, its fully polarimetric operation, low noise, and consistent calibration accuracy has made it a premier instrument for PolSAR-based studies also. Since 2009 it has successfully imaged more than 16 million km2 and >4300 quad-polarimetric data products are now publicly available online. Upgrades made in the last year to automate the repeat track processing serve as a model for generating large volumes of InSAR products: Since January 2014 more than 700 interferometric products have been released, exceeding the output of all previous years combined. Standardly available products now include browse images of all InSAR acquisitions and coregistered single-look complex image stacks suitable for standard time series analysis. Here we present an overview of the wide range of studies utilizing UAVSAR data including those based on polarimetry and pair-wise and times series interferometry, highlighting both the unique capabilities of UAVSAR and the ways in which NI-SAR would be able to dramatically extend the capabilities. This research was conducted at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.

  16. Calibration Results for J-ERS-1 SAR Data Produced by the Alaska SAR Facility

    Science.gov (United States)

    Freeman, A.; Alves, M.; Williams, J.

    1993-01-01

    The Alaska SAR Facility has been receiving and processing SAR data from the J-ERS-1 satellite since Spring 1992. Corner reflectors have been set up for J-ERS-1 SAR calibration at a site near Delta Junction, in central Alaska. Image quality and calibration analysis results from the Delta Junction site and others will be presented in this paper. The impact of the 3-bit Analog-to-Digital Converter and the automatic stepping of the gain as a function of range in the J-ERS-1 radar receiver on calibration performance has been assessed. Preliminary observations on J-ERS-1 SAR data are that the average Signal-to-Noise ratio is generally fairly low, in the range 5-6 dB. Azimuth ambiguity levels are higher than preflight analysis indicated. Over land, the dynamic range in the backscatter at L-band for approximately 36 degree incidence angle is often fairly high...

  17. AN APPROACH TO FUTURE TEACHER TRAINING PROCESS OF PRIMARY EDUCATION

    Directory of Open Access Journals (Sweden)

    Mireya Rubio-Moreno

    2015-07-01

    Full Text Available This article presents partial results of a research about the processes lived in a more meaningful manner by the future teachers in primary education. The methodology is qualitative, a questionnaire and a semistructured interview were applied to twelve subjects, finding that a large part of them point to the experiences of observation and teaching practice as more significant to be suitable in their later professional practice. In contrast, few point to the weight of vocation, self taught and count with teachers engaged and capable for the consolidation of their professional skills. We conclude that the initial formative processes are diverse and complex with little impact on the theoretical and methodological domain of the teacher training students coming to graduating.

  18. Creativity in the process of training electricity technicians

    Directory of Open Access Journals (Sweden)

    Eleonora Victorovna Romanova

    2015-09-01

    Full Text Available The paper describes the result of reference study of creativity development in the context of pre-service activities. The objective was to construct a framework in the searching for novel solutions to professional problems concerning equipment exploitation and electric systems in the process of training the corresponding following an individual tailored approach. Several scientific methods were used including both theory-based and empirical based ones. The main finding is a new conception of the process of creativity development during pre-service activities connected to professional problem solving tasks that starting from the individual tailored approach already mentioned lead to rethinking the role of labor workshops and their relation to the polytechnic school.

  19. Modern approaches in deep learning for SAR ATR

    Science.gov (United States)

    Wilmanski, Michael; Kreucher, Chris; Lauer, Jim

    2016-05-01

    Recent breakthroughs in computational capabilities and optimization algorithms have enabled a new class of signal processing approaches based on deep neural networks (DNNs). These algorithms have been extremely successful in the classification of natural images, audio, and text data. In particular, a special type of DNNs, called convolutional neural networks (CNNs) have recently shown superior performance for object recognition in image processing applications. This paper discusses modern training approaches adopted from the image processing literature and shows how those approaches enable significantly improved performance for synthetic aperture radar (SAR) automatic target recognition (ATR). In particular, we show how a set of novel enhancements to the learning algorithm, based on new stochastic gradient descent approaches, generate significant classification improvement over previously published results on a standard dataset called MSTAR.

  20. The Staphylococcus aureus protein-coding gene gdpS modulates sarS expression via mRNA-mRNA interaction.

    Science.gov (United States)

    Chen, Chuan; Zhang, Xu; Shang, Fei; Sun, Haipeng; Sun, Baolin; Xue, Ting

    2015-08-01

    Staphylococcus aureus is an important Gram-positive pathogen responsible for numerous diseases ranging from localized skin infections to life-threatening systemic infections. The virulence of S. aureus is essentially determined by a wide spectrum of factors, including cell wall-associated proteins and secreted toxins that are precisely controlled in response to environmental changes. GGDEF domain protein from Staphylococcus (GdpS) is the only conserved staphylococcal GGDEF domain protein that is involved not in c-di-GMP synthesis but in the virulence regulation of S. aureus NCTC8325. Our previous study showed that the inactivation of gdpS generates an extensive change of virulence factors together with, in particular, a major Spa (protein A) surface protein. As reported, sarS is a direct positive regulator of spa. The decreased transcript levels of sarS in the gdpS mutant compared with the parental NCTC8325 strain suggest that gdpS affects spa through interaction with sarS. In this study, site mutation and complementary experiments showed that the translation product of gdpS was not involved in the regulation of transcript levels of sarS. We found that gdpS functioned through direct RNA-RNA base pairing with the 5' untranslated region (5'UTR) of sarS mRNA and that a putative 18-nucleotide region played a significant role in the regulatory process. Furthermore, the mRNA half-life analysis of sarS in the gdpS mutant showed that gdpS positively regulates the mRNA levels of sarS by contributing to the stabilization of sarS mRNA, suggesting that gdpS mRNA may regulate spa expression in an RNA-dependent pathway. Copyright © 2015, American Society for Microbiology. All Rights Reserved.

  1. Integrating interferometric SAR data with levelling measurements of land subsidence using geostatistics

    NARCIS (Netherlands)

    Zhou, Y.; Stein, A.; Molenaar, M.

    2003-01-01

    Differential Synthetic Aperture Radar (SAR) interferometric (D-InSAR) data of ground surface deformation are affected by several error sources associated with image acquisitions and data processing. In this paper, we study the use of D-InSAR for quantifying land subsidence due to groundwater

  2. Contents of training process of highly qualified weightlifters.

    Directory of Open Access Journals (Sweden)

    Oleshko Valentin Grigor'evich

    2011-10-01

    Full Text Available The content of the training of highly skilled weightlifters in the annual macrocycle. The study involved 38 highly skilled lifters aged 19 to 29 years old. Considered periods of preparation for various weight categories of athletes. Shows the model parameters volume of training work weightlifting exercises in groups. The variants in the training load and intensity control areas (71.0 - 100% depending on the training period. Recommended options for building training sessions of various kinds.

  3. Real-time optical processor prototype for remote SAR applications

    Science.gov (United States)

    Marchese, Linda; Doucet, Michel; Harnisch, Bernd; Suess, Martin; Bourqui, Pascal; Legros, Mathieu; Desnoyers, Nichola; Guillot, Ludovic; Mercier, Luc; Savard, Maxime; Martel, Anne; Châteauneuf, François; Bergeron, Alain

    2009-09-01

    A Compact Real-Time Optical SAR Processor has been successfully developed and tested. SAR, or Synthetic Aperture Radar, is a powerful tool providing enhanced day and night imaging capabilities. SAR systems typically generate large amounts of information generally in the form of complex data that are difficult to compress. Specifically, for planetary missions and unmanned aerial vehicle (UAV) systems with limited communication data rates this is a clear disadvantage. SAR images are typically processed electronically applying dedicated Fourier transformations. This, however, can also be performed optically in real-time. Indeed, the first SAR images have been optically processed. The optical processor architecture provides inherent parallel computing capabilities that can be used advantageously for the SAR data processing. Onboard SAR image generation would provide local access to processed information paving the way for real-time decision-making. This could eventually benefit navigation strategy and instrument orientation decisions. Moreover, for interplanetary missions, onboard analysis of images could provide important feature identification clues and could help select the appropriate images to be transmitted to Earth, consequently helping bandwidth management. This could ultimately reduce the data throughput requirements and related transmission bandwidth. This paper reviews the design of a compact optical SAR processor prototype that would reduce power, weight, and size requirements and reviews the analysis of SAR image generation using the table-top optical processor. Various SAR processor parameters such as processing capabilities, image quality (point target analysis), weight and size are reviewed. Results of image generation from simulated point targets as well as real satellite-acquired raw data are presented.

  4. INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA

    Directory of Open Access Journals (Sweden)

    P. Srikanth

    2012-08-01

    Full Text Available An attempt has been made in the current study to assess the potential of polarimetric SAR data for inventory of kharif rice and the major competing crop like cotton. In the process, physical process of the scattering mechanisms occurring in rice and cotton crops at different phonological stages was studied through the use of temporal Radarsat 2 Fine quadpol SAR data. The temporal dynamics of the volume, double and odd bounce, entropy, anisotropy, alpha parameters and polarimertic signatures, classification through isodata clustering and Wishart techniques were assessed. The Wishart (H-a classification showed higher overall as well as rice and cotton crop accuracies compared to the isodata clustering from Freeman 3-component decomposition. The classification of temporal SAR data sets independently showed that the rice crop forecasting can be advanced with the use of appropriate single date polarimetric SAR data rather than using temporal SAR amplitude data sets with the single polarization in irrigated rice ecosystems

  5. The training process: Planning for strength–power training in track and field. Part 1: Theoretical aspects

    Directory of Open Access Journals (Sweden)

    Brad H. DeWeese

    2015-12-01

    Full Text Available The process of strength–power training and the subsequent adaptation is a multi-factorial process. These factors range from the genetics and morphological characteristics of the athlete to how a coach selects, orders, and doses exercises and loading patterns. Consequently, adaptation from these training factors may largely relate to the mode of delivery, in other words, programming tactics. There is strong evidence that the manner and phases in which training is presented to the athlete can make a profound difference in performance outcome. This discussion deals primarily with block periodization concepts and associated methods of programming for strength–power training within track and field.

  6. Improving the process of training of qualified swimmers-sprinters on the basis of training programs of power orientation

    Directory of Open Access Journals (Sweden)

    Olga Pilipko

    2015-12-01

    Full Text Available Purpose: improvement of process of training of qualified swimmers-sprinters. Material and Methods: analysis of scientific-methodic literature, pedagogical observation, questionnaire survey, pedagogical experiment, methods of mathematical statistics. The examined group consisted of sportsmen of high qualification who were members of the national team of Ukraine on the swimming. Results: the authors developed a program of training sessions of power orientation at the development of highly skilled swimmers-sprinters (on land and in water, justifies its effectiveness. Conclusions: the use of training programs of power orientation in the process of training of qualified swimmers – sprinters promotes the growth of high-speed performance

  7. DEVELOPMENT OF COORDINATION ABILITIES OF FUTURE TEACHERS OF PHYSICAL TRAINING IN THE TRAINING PROCESS

    Directory of Open Access Journals (Sweden)

    Aleksandr Nikolaevich Shutov

    2015-02-01

    Full Text Available The article presents the results of implementing the methods of development coordination abilities in students of different sports specializations, students at the Faculty of Physical Education in the process of training in gymnastics. In the content of the classes includes a range of applied exercises with rotation in different planes of space, as a support, and the unsupported position, as well as their implementation in different directions of motion.The purpose - to improve the methods of development of coordination abilities of future teachers of physical culture in the process of training.Methodology development of coordination abilities based on the use of compound exercises with rotation in different planes of the space in the support and unsupported posture.Results. As a result of the development of methods of coordination abilities of the students showed a significant gain significant results when performing jumps with rotation (p <0.05. Significant increase was seen in the results of the students involved in wrestling, the results of which have reached the indicators close to the values typical for students specializing in gymnastics.The average value of the expert evaluation of the motor action from the arsenal of acrobatics and exercises on the equipment the students of the experimental group was 4.7 and 4.6 points, while the traditional method for dealing with this figure is 3.4 and 3.1 point, respectively (p < 0.05.Practical implications. Technique can be used as part of training students of physical culture of pedagogical universities.

  8. SAR image registration in absolute coordinates using GPS carrier phase position and velocity information

    Energy Technology Data Exchange (ETDEWEB)

    Burgett, S.; Meindl, M. [Sandia National Labs., Albuquerque, NM (United States). Aided Navigation and Remote Sensing Systems

    1994-09-01

    It is useful in a variety of military and commercial application to accurately register the position of synthetic aperture radar (SAR) imagery in absolute coordinates. The two basic SAR measurements, range and doppler, can be used to solve for the position of the SAR image. Imprecise knowledge of the SAR collection platform`s position and velocity vectors introduce errors in the range and doppler measurements and can cause the apparent location of the SAR image on the ground to be in error by tens of meters. Recent advances in carrier phase GPS techniques can provide an accurate description of the collection vehicle`s trajectory during the image formation process. In this paper, highly accurate carrier phase GPS trajectory information is used in conjunction with SAR imagery to demonstrate a technique for accurate registration of SAR images in WGS-84 coordinates. Flight test data will be presented that demonstrates SAR image registration errors of less than 4 meters.

  9. A 3D visualization approach for process training in office environments

    NARCIS (Netherlands)

    Aysolmaz, Banu; Brown, Ross; Bruza, Peter; Reijers, Hajo A.

    2016-01-01

    Process participants need to learn how to perform in the context of their business processes. Process training is challenging due to cognitive difficulties in relating process model elements to real world concepts. In this paper we present a 3D VirtualWorld (VW) process training approach for office

  10. MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING

    Directory of Open Access Journals (Sweden)

    R. Dwivedi

    2016-06-01

    Full Text Available In the past few years, SAR Interferometry specially InSAR and D-InSAR were extensively used for deformation monitoring related applications. Due to temporal and spatial decorrelation in dense vegetated areas, effectiveness of InSAR and D-InSAR observations were always under scrutiny. Multi-temporal InSAR methods are developed in recent times to retrieve the deformation signal from pixels with different scattering characteristics. Presently, two classes of multi-temporal InSAR algorithms are available- Persistent Scatterer (PS and Small Baseline (SB methods. This paper discusses the Stanford Method for Persistent Scatterer (StaMPS based PS-InSAR and the Small Baselines Subset (SBAS techniques to estimate the surface deformation in Tehri dam reservoir region in Uttarkhand, India. Both PS-InSAR and SBAS approaches used sixteen ENVISAT ASAR C-Band images for generating single master and multiple master interferograms stack respectively and their StaMPS processing resulted in time series 1D-Line of Sight (LOS mean velocity maps which are indicative of deformation in terms of movement towards and away from the satellites. From 1D LOS velocity maps, localization of landslide is evident along the reservoir rim area which was also investigated in the previous studies. Both PS-InSAR and SBAS effectively extract measurement pixels in the study region, and the general results provided by both approaches show a similar deformation pattern along the Tehri reservoir region. Further, we conclude that StaMPS based PS-InSAR method performs better in terms of extracting more number of measurement pixels and in the estimation of mean Line of Sight (LOS velocity as compared to SBAS method. It is also proposed to take up a few major landslides area in Uttarakhand for slope stability assessment.

  11. Infrastructure monitoring with spaceborne SAR sensors

    CERN Document Server

    ANGHEL, ANDREI; CACOVEANU, REMUS

    2017-01-01

    This book presents a novel non-intrusive infrastructure monitoring technique based on the detection and tracking of scattering centers in spaceborne SAR images. The methodology essentially consists of refocusing each available SAR image on an imposed 3D point cloud associated to the envisaged infrastructure element and identifying the reliable scatterers to be monitored by means of four dimensional (4D) tomography. The methodology described in this book provides a new perspective on infrastructure monitoring with spaceborne SAR images, is based on a standalone processing chain, and brings innovative technical aspects relative to conventional approaches. The book is intended primarily for professionals and researchers working in the area of critical infrastructure monitoring by radar remote sensing.

  12. Musical training enhances neural processing of binaural sounds.

    Science.gov (United States)

    Parbery-Clark, Alexandra; Strait, Dana L; Hittner, Emily; Kraus, Nina

    2013-10-16

    While hearing in noise is a complex task, even in high levels of noise humans demonstrate remarkable hearing ability. Binaural hearing, which involves the integration and analysis of incoming sounds from both ears, is an important mechanism that promotes hearing in complex listening environments. Analyzing inter-ear differences helps differentiate between sound sources--a key mechanism that facilitates hearing in noise. Even when both ears receive the same input, known as diotic hearing, speech intelligibility in noise is improved. Although musicians have better speech-in-noise perception compared with non-musicians, we do not know to what extent binaural processing contributes to this advantage. Musicians often demonstrate enhanced neural responses to sound, however, which may undergird their speech-in-noise perceptual enhancements. Here, we recorded auditory brainstem responses in young adult musicians and non-musicians to a speech stimulus for which there was no musician advantage when presented monaurally. When presented diotically, musicians demonstrated faster neural timing and greater intertrial response consistency relative to non-musicians. Furthermore, musicians' enhancements to the diotically presented stimulus correlated with speech-in-noise perception. These data provide evidence for musical training's impact on biological processes and suggest binaural processing as a possible contributor to more proficient hearing in noise.

  13. Deployment of an in-house designed training process in a quaternary care hospital.

    Science.gov (United States)

    Kumar, Ajit; Bhatia, Saurabh; Chiang, I-Jen

    2013-01-01

    Healthcare providers, such as doctors and nurses, have been famous for high resistance to change. A careful change management plan, particularly training process, is utmost necessary. A quaternary care hospital in India changed its system, from manual to Electronic Medical Record/Health Information System (EMR/HIS). The hospital management wanted to train its 4000 diverse end-users on the EMR/HIS in two months' time. This paper describes an in-house designed training process and its deployment in the given healthcare organizational settings. We designed a training process named DRIPDA. The training process was deployed to train 4000 end-users of EMR/HIS, in the quaternary care hospital. Various factors, such as methods and tools of training, constraints of trainees, trainers, and organization were considered while deploying the training process. The effectiveness of the DRIPDA was assessed using the Kirkpatrick model. End-users received training on the new system only in 25% of estimated time and 28% of the projected expense, without having any distraction in their usual workflow, or any productivity loss. We found that the DRIPDA training process could train all employees effectively and efficiently. A decent training process can help in managing the change, thereby reduce the training time and cost.

  14. Dual N-Back Working Memory Training in Healthy Adults: A Randomized Comparison to Processing Speed Training.

    Science.gov (United States)

    Lawlor-Savage, Linette; Goghari, Vina M

    2016-01-01

    Enhancing cognitive ability is an attractive concept, particularly for middle-aged adults interested in maintaining cognitive functioning and preventing age-related declines. Computerized working memory training has been investigated as a safe method of cognitive enhancement in younger and older adults, although few studies have considered the potential impact of working memory training on middle-aged adults. This study investigated dual n-back working memory training in healthy adults aged 30-60. Fifty-seven adults completed measures of working memory, processing speed, and fluid intelligence before and after a 5-week web-based dual n-back or active control (processing speed) training program. Repeated measures multivariate analysis of variance failed to identify improvements across the three cognitive composites, working memory, processing speed, and fluid intelligence, after training. Follow-up Bayesian analyses supported null findings for training effects for each individual composite. Findings suggest that dual n-back working memory training may not benefit working memory or fluid intelligence in healthy adults. Further investigation is necessary to clarify if other forms of working memory training may be beneficial, and what factors impact training-related benefits, should they occur, in this population.

  15. Dual N-Back Working Memory Training in Healthy Adults: A Randomized Comparison to Processing Speed Training

    Science.gov (United States)

    Lawlor-Savage, Linette; Goghari, Vina M.

    2016-01-01

    Enhancing cognitive ability is an attractive concept, particularly for middle-aged adults interested in maintaining cognitive functioning and preventing age-related declines. Computerized working memory training has been investigated as a safe method of cognitive enhancement in younger and older adults, although few studies have considered the potential impact of working memory training on middle-aged adults. This study investigated dual n-back working memory training in healthy adults aged 30–60. Fifty-seven adults completed measures of working memory, processing speed, and fluid intelligence before and after a 5-week web-based dual n-back or active control (processing speed) training program. Results: Repeated measures multivariate analysis of variance failed to identify improvements across the three cognitive composites, working memory, processing speed, and fluid intelligence, after training. Follow-up Bayesian analyses supported null findings for training effects for each individual composite. Findings suggest that dual n-back working memory training may not benefit working memory or fluid intelligence in healthy adults. Further investigation is necessary to clarify if other forms of working memory training may be beneficial, and what factors impact training-related benefits, should they occur, in this population. PMID:27043141

  16. Training and Organizational Effectiveness: Moderating Role of Knowledge Management Process

    Science.gov (United States)

    Rahman, Azmawani Abd; Ng, Siew Imm; Sambasivan, Murali; Wong, Florence

    2013-01-01

    Purpose: Training alone is not sufficient to enhance organizational effectiveness to a greater level because not all knowledge obtained from the training is properly transferred and applied to the organization. This study aims to investigate whether efforts invested by Malaysian manufacturers in employee training and knowledge transfer affect…

  17. Matrix approach to modelling of SAR signals

    NARCIS (Netherlands)

    Lidicky, L.; Hoogeboom, P.

    2005-01-01

    The paper presents a matrix approach to implementation of SAR signal generating and processing schemes. This approach is advantageous when matrix oriented software such as Matlab is used. Algorithms written in this type of software packages run faster compared to the same algorithms written for the

  18. Crop Classification by Polarimetric SAR

    DEFF Research Database (Denmark)

    Skriver, Henning; Svendsen, Morten Thougaard; Nielsen, Flemming

    1999-01-01

    Polarimetric SAR-data of agricultural fields have been acquired by the Danish polarimetric L- and C-band SAR (EMISAR) during a number of missions at the Danish agricultural test site Foulum during 1995. The data are used to study the classification potential of polarimetric SAR data using...... the Wishart distributed covariance matrix. In general, the improvement of using polarimetric SAR data compared to multipolarization SAR data is larger at L-band compared to C-band. On the other hand, the variability due to natural variation and different incidence angles is larger at L-band compared to C-band...

  19. Bats and SARS

    Centers for Disease Control (CDC) Podcasts

    2006-11-08

    Bats are a natural reservoir for emerging viruses, among them henipaviruses and rabies virus variants. Dr. Nina Marano, Chief, Geographic Medicine and Health Promotion Branch, Division of Global Migration and Quarantine, CDC, explains connection between horseshoe bats and SARS coronavirus transmission.  Created: 11/8/2006 by Emerging Infectious Diseases.   Date Released: 11/17/2006.

  20. Data Analytics for SAR

    Energy Technology Data Exchange (ETDEWEB)

    Murphy, David Patrick [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Calef, Matthew Thomas [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-10-02

    We assess the ability of variants of anomalous change detection (ACD) to identify human activity associated with large outdoor music festivals as they are seen from synthetic aperture radar (SAR) imagery collected by the Sentinel-1 satellite constellation. We found that, with appropriate feature vectors, ACD using random-forest machine learning was most effective at identifying changes associated with the human activity.

  1. Understanding the T cell immune response in SARS coronavirus infection.

    Science.gov (United States)

    Janice Oh, Hsueh-Ling; Ken-En Gan, Samuel; Bertoletti, Antonio; Tan, Yee-Joo

    2012-09-01

    The severe acute respiratory syndrome (SARS) epidemic started in late 2002 and swiftly spread across 5 continents with a mortality rate of around 10%. Although the epidemic was eventually controlled through the implementation of strict quarantine measures, there continues a need to investigate the SARS coronavirus (SARS-CoV) and develop interventions should it re-emerge. Numerous studies have shown that neutralizing antibodies against the virus can be found in patients infected with SARS-CoV within days upon the onset of illness and lasting up to several months. In contrast, there is little data on the kinetics of T cell responses during SARS-CoV infection and little is known about their role in the recovery process. However, recent studies in mice suggest the importance of T cells in viral clearance during SARS-CoV infection. Moreover, a growing number of studies have investigated the memory T cell responses in recovered SARS patients. This review covers the available literature on the emerging importance of T cell responses in SARS-CoV infection, particularly on the mapping of cytotoxic T lymphocyte (CTL) epitopes, longevity, polyfunctionality and human leukocyte antigen (HLA) association as well as their potential implications on treatment and vaccine development.

  2. Understanding the T cell immune response in SARS coronavirus infection

    Science.gov (United States)

    Janice Oh, Hsueh-Ling; Ken-En Gan, Samuel; Bertoletti, Antonio; Tan, Yee-Joo

    2012-01-01

    The severe acute respiratory syndrome (SARS) epidemic started in late 2002 and swiftly spread across 5 continents with a mortality rate of around 10%. Although the epidemic was eventually controlled through the implementation of strict quarantine measures, there continues a need to investigate the SARS coronavirus (SARS-CoV) and develop interventions should it re-emerge. Numerous studies have shown that neutralizing antibodies against the virus can be found in patients infected with SARS-CoV within days upon the onset of illness and lasting up to several months. In contrast, there is little data on the kinetics of T cell responses during SARS-CoV infection and little is known about their role in the recovery process. However, recent studies in mice suggest the importance of T cells in viral clearance during SARS-CoV infection. Moreover, a growing number of studies have investigated the memory T cell responses in recovered SARS patients. This review covers the available literature on the emerging importance of T cell responses in SARS-CoV infection, particularly on the mapping of cytotoxic T lymphocyte (CTL) epitopes, longevity, polyfunctionality and human leukocyte antigen (HLA) association as well as their potential implications on treatment and vaccine development. PMID:26038429

  3. An Adaptive Ship Detection Scheme for Spaceborne SAR Imagery

    Directory of Open Access Journals (Sweden)

    Xiangguang Leng

    2016-08-01

    Full Text Available With the rapid development of spaceborne synthetic aperture radar (SAR and the increasing need of ship detection, research on adaptive ship detection in spaceborne SAR imagery is of great importance. Focusing on practical problems of ship detection, this paper presents a highly adaptive ship detection scheme for spaceborne SAR imagery. It is able to process a wide range of sensors, imaging modes and resolutions. Two main stages are identified in this paper, namely: ship candidate detection and ship discrimination. Firstly, this paper proposes an adaptive land masking method using ship size and pixel size. Secondly, taking into account the imaging mode, incidence angle, and polarization channel of SAR imagery, it implements adaptive ship candidate detection in spaceborne SAR imagery by applying different strategies to different resolution SAR images. Finally, aiming at different types of typical false alarms, this paper proposes a comprehensive ship discrimination method in spaceborne SAR imagery based on confidence level and complexity analysis. Experimental results based on RADARSAT-1, RADARSAT-2, TerraSAR-X, RS-1, and RS-3 images demonstrate that the adaptive scheme proposed in this paper is able to detect ship targets in a fast, efficient and robust way.

  4. Bistatic SAR: Proof of Concept.

    Energy Technology Data Exchange (ETDEWEB)

    Yocky, David A.; Doren, Neall E.; Bacon, Terry A.; Wahl, Daniel E.; Eichel, Paul H.; Jakowatz, Charles V,; Delaplain, Gilbert G.; Dubbert, Dale F.; Tise, Bertice L.; White, Kyle R.

    2014-10-01

    Typical synthetic aperture RADAR (SAR) imaging employs a co-located RADAR transmitter and receiver. Bistatic SAR imaging separates the transmitter and receiver locations. A bistatic SAR configuration allows for the transmitter and receiver(s) to be in a variety of geometric alignments. Sandia National Laboratories (SNL) / New Mexico proposed the deployment of a ground-based RADAR receiver. This RADAR receiver was coupled with the capability of digitizing and recording the signal collected. SNL proposed the possibility of creating an image of targets the illuminating SAR observes. This document describes the developed hardware, software, bistatic SAR configuration, and its deployment to test the concept of a ground-based bistatic SAR. In the proof-of-concept experiments herein, the RADAR transmitter will be a commercial SAR satellite and the RADAR receiver will be deployed at ground level, observing and capturing RADAR ground/targets illuminated by the satellite system.

  5. Training your brain: Do mental and physical (MAP) training enhance cognition through the process of neurogenesis in the hippocampus?

    OpenAIRE

    Curlik, D.M.; Shors, T.J.

    2012-01-01

    New neurons are produced each day in the hippocampus through the process of neurogenesis. Both mental and physical training can modify this process by increasing the number of new cells that mature into functional neurons in the adult brain. However, the mechanisms whereby these increases occur are not necessarily the same. Physical activity, especially aerobic exercise greatly increases the number of new neurons that are produced in the hippocamal formation. In contrast, mental training via ...

  6. Employee Post-Training Behaviour and Performance: Evaluating the Results of the Training Process

    Science.gov (United States)

    Diamantidis, Anastasios D.; Chatzoglou, Prodromos D.

    2014-01-01

    Despite the fact that firms invest in training, there is considerable evidence to show that training programmes often fail to achieve the intended result of improving worker and organization performance. The purpose of this paper is to examine the medium- to long-term effects of training programmes on firms by means of an integrated research model…

  7. Improvement of management by training process of boxers at a stage of direct preparation for competitions

    Directory of Open Access Journals (Sweden)

    Kiprych S.V.

    2013-12-01

    Full Text Available The purpose of work is perfection of estimation of the special capacity and increase on this basis of efficiency of training process of boxers control. 27 skilled sportsmen took part in research. The estimation of training impulse is conducted - integral index of reaction of the cardiorespiratory system. Trainings employments were standardized on duration (40 minutes and orientation on development speed-power qualities, endurance. Three groups of trainings employments were utillized in all. The degree of tension of training work was determined. It is set that perfection of training process in boxing can be based on the estimation of changes a capacity and reactive properties of the cardiorespiratory system of sportsmen. The orientation of training process is certain and the individual parameters of the trainings loadings are chosen.

  8. A Stepped Frequency CW SAR for Lightweight UAV Operation

    National Research Council Canada - National Science Library

    Morrison, Keith

    2005-01-01

    A stepped-frequency continuous wave (SF-CW) synthetic aperture radar (SAR), with frequency-agile waveforms and real-time intelligent signal processing algorithms, is proposed for operation from a lightweight UAV platform...

  9. Collaborative Learning Processes in Teacher Training: Benefits and Costs

    Directory of Open Access Journals (Sweden)

    Ellen Aschermann

    2015-09-01

    Full Text Available The current pedagogical discussion emphasizes self-determined and cooperative forms of learning. The theoretical background stems from constructivist theories of learning, which interpret social exchange and reflecting on one’s learning pathway as crucial points for construction processes. Consequently, self-regulation turns into a central condition for scholarly learning. This includes setting goals, planning and conducting the learning process as well as the evaluation of results. This paper focusses on the processes secondary school teachers use to implement newly acquired knowledge on self-regulated learning in their lessons. By means of qualitative research methodology, we wanted to explore how experienced teachers develop their own abilities for self-determined learning while teaching their own pupils to do so. Method: In a transdisciplinary research-project between a secondary school and a university, a group of mathematic teachers participated in a two-day training course on self-regulated learning during which they discussed and developed ways to enhance self-regulation of learners. They were then tasked with implementing their newly acquired knowledge during their maths lessons (number of pupils = 270, 4 – 5 lessons per week with eighth graders in the course of a twelve week teaching period. Two separate groups of teachers were asked to put their newly acquired skills into practice. The first group (N = 6 used a collaborative setting in which tasks, teaching activities and performance reviews had been clarified and discussed within the group. The second group (N = 4 fulfilled these tasks individually without seeking assistance. The teaching strategies were assessed by means of multiple semi-structured interviews and observations of classroom activities. Semi-structured interviews were conducted with the teachers prior to the training and after 12 and 32 weeks respectively to explore their understanding of self-regulated learning

  10. The flight test of Pi-SAR(L) for the repeat-pass interferometric SAR

    Science.gov (United States)

    Nohmi, Hitoshi; Shimada, Masanobu; Miyawaki, Masanori

    2006-09-01

    This paper describes the experiment of the repeat pass interferometric SAR using Pi-SAR(L). The air-borne repeat-pass interferometric SAR is expected as an effective method to detect landslide or predict a volcano eruption. To obtain a high-quality interferometric image, it is necessary to make two flights on the same flight pass. In addition, since the antenna of the Pi-SAR(L) is secured to the aircraft, it is necessary to fly at the same drift angle to keep the observation direction same. We built a flight control system using an auto pilot which has been installed in the airplane. This navigation system measures position and altitude precisely with using a differential GPS, and the PC Navigator outputs a difference from the desired course to the auto pilot. Since the air density is thinner and the speed is higher than the landing situation, the gain of the control system is required to be adjusted during the repeat pass flight. The observation direction could be controlled to some extent by adjusting a drift angle with using a flight speed control. The repeat-pass flight was conducted in Japan for three days in late November. The flight was stable and the deviation was within a few meters for both horizontal and vertical direction even in the gusty condition. The SAR data were processed in time domain based on range Doppler algorism to make the complete motion compensation. Thus, the interferometric image processed after precise phase compensation is shown.

  11. PolInSAR tomography for vertical profile retrieval of forest vegetation using spaceborne SAR data

    Science.gov (United States)

    Joshi, Sushil K.; Kumar, Shashi; Agrawal, Shefali; Dinh, Ho T. M.

    2016-05-01

    Forest height plays a crucial role to investigate the bio-physical parameters of forest and the terrestrial carbon. PolInSAR based inversion modeling has been successfully implemented on airborne and space-borne SAR data. SAR tomography, which is an extension of cross-track interferometric processing is a recent approach to separate scatterers in cross range direction, thus generates its vertical profile. This study highlighted the potential of tomographic processing of fully polarimetric Radarsat-2 SAR system to retrieve backscatter power at different height levels. Teak forest in Haldwani forest division of Uttarakhand state of India was chosen as the test site. Since SAR tomography is a spectral estimation problem, Fourier transform and beamforming based spectral estimations were applied on the dataset to obtain their vertical profiles. Fourier severely suffered from high side lobes which was drastically reduced by implementing beam-forming by taking into account the multi-looking effect at the expense of radiometric accuracy. Backscattered power values were found to be different at different height levels of the forest vegetation. Vertical profile for Fourier as well as beam-forming were also retrieved.

  12. An Eye Movement Pre-Training Fosters the Comprehension of Processes and Functions in Technical Systems

    Directory of Open Access Journals (Sweden)

    Irene Therese Skuballa

    2015-05-01

    Full Text Available The main research goal of the present study was to investigate in how far pre-training eye movements can promote knowledge acquisition in multimedia (pre-training principle. We combined considerations from research on eye movement modeling and pre-training to design and test a non-verbal eye movement-based pre-training. Participants in the experimental condition watched an animated circle which moved in close spatial resemblance to a to-be-learned learning environment, namely a static visualization of a solar plant accompanied by a narration. This training was expected to foster top-down processes as reflected in gaze behavior during the learning process and better knowledge. We compared two groups (N = 45: participants in the experimental condition received such pre-training in a first step and processed the learning material in a second step, whereas the control underwent the second step without any pre-training. The pre-training group outperformed the no-training group in their learning outcomes, particularly in knowledge about the processes and functions of the solar plant. However, the superior learning outcomes in the pre-training group could not be explained by eye-movement patterns. Furthermore, the pre-training moderated the relationship between experienced stress and learning outcomes. In the control group, high stress levels hindered learning, which was not found for the pre-training group. On a delayed posttest participants were requested to draw a picture of the learning content. Despite a non-significant effect of training on the quality of drawings, the pre-training showed associations between learning outcomes at the first testing time and process-related aspects in the quality of their drawings. Overall, non-verbal pre-training is a successful instructional intervention to promote learning processes in novices although these processes did not directly reflect in the learners’ eye movement behavior during learning.

  13. RESEARCH ON AIRBORNE SAR IMAGING BASED ON ESC ALGORITHM

    Directory of Open Access Journals (Sweden)

    X. T. Dong

    2017-09-01

    Full Text Available Due to the ability of flexible, accurate, and fast obtaining abundant information, airborne SAR is significant in the field of Earth Observation and many other applications. Optimally the flight paths are straight lines, but in reality it is not the case since some portion of deviation from the ideal path is impossible to avoid. A small disturbance from the ideal line will have a major effect on the signal phase, dramatically deteriorating the quality of SAR images and data. Therefore, to get accurate echo information and radar images, it is essential to measure and compensate for nonlinear motion of antenna trajectories. By means of compensating each flying trajectory to its reference track, MOCO method corrects linear phase error and quadratic phase error caused by nonlinear antenna trajectories. Position and Orientation System (POS data is applied to acquiring accuracy motion attitudes and spatial positions of antenna phase centre (APC. In this paper, extend chirp scaling algorithm (ECS is used to deal with echo data of airborne SAR. An experiment is done using VV-Polarization raw data of C-band airborne SAR. The quality evaluations of compensated SAR images and uncompensated SAR images are done in the experiment. The former always performs better than the latter. After MOCO processing, azimuth ambiguity is declined, peak side lobe ratio (PSLR effectively improves and the resolution of images is improved obviously. The result shows the validity and operability of the imaging process for airborne SAR.

  14. Research on Airborne SAR Imaging Based on Esc Algorithm

    Science.gov (United States)

    Dong, X. T.; Yue, X. J.; Zhao, Y. H.; Han, C. M.

    2017-09-01

    Due to the ability of flexible, accurate, and fast obtaining abundant information, airborne SAR is significant in the field of Earth Observation and many other applications. Optimally the flight paths are straight lines, but in reality it is not the case since some portion of deviation from the ideal path is impossible to avoid. A small disturbance from the ideal line will have a major effect on the signal phase, dramatically deteriorating the quality of SAR images and data. Therefore, to get accurate echo information and radar images, it is essential to measure and compensate for nonlinear motion of antenna trajectories. By means of compensating each flying trajectory to its reference track, MOCO method corrects linear phase error and quadratic phase error caused by nonlinear antenna trajectories. Position and Orientation System (POS) data is applied to acquiring accuracy motion attitudes and spatial positions of antenna phase centre (APC). In this paper, extend chirp scaling algorithm (ECS) is used to deal with echo data of airborne SAR. An experiment is done using VV-Polarization raw data of C-band airborne SAR. The quality evaluations of compensated SAR images and uncompensated SAR images are done in the experiment. The former always performs better than the latter. After MOCO processing, azimuth ambiguity is declined, peak side lobe ratio (PSLR) effectively improves and the resolution of images is improved obviously. The result shows the validity and operability of the imaging process for airborne SAR.

  15. SAR++: A Multi-Channel Scalable and Reconfigurable SAR System

    DEFF Research Database (Denmark)

    Høeg, Flemming; Christensen, Erik Lintz

    2002-01-01

    SAR++ is a technology program aiming at developing know-how and technology needed to design the next generation civilian SAR systems. Technology has reached a state, which allows major parts of the digital subsystem to be built using custom-off-the-shelf (COTS) components. A design goal...... is to design a modular, scalable and reconfigurable SAR system using such components, in order to ensure maximum flexibility for the users of the actual system and for future system updates. Having these aspects in mind the SAR++ system is presented with focus on the digital subsystem architecture...

  16. An Analysis of Trainers' Perspectives within an Ecological Framework: Factors that Influence Mine Safety Training Processes

    Directory of Open Access Journals (Sweden)

    Emily J. Haas

    2014-09-01

    Conclusion: This study offers a new technique to identify limitations in safety training systems and processes. The analysis suggests that training should be developed and disseminated with consideration of various levels—individual, interpersonal, organizational, and community—to promote skills. If factors identified within and between levels are addressed, it may be easier to sustain mineworker competencies that are established during safety training.

  17. Model Guided Design and Development Process for an Electronic Health Record Training Program.

    Science.gov (United States)

    He, Ze; Marquard, Jenna; Henneman, Elizabeth

    2016-01-01

    Effective user training is important to ensure electronic health record (EHR) implementation success. Though many previous studies report best practice principles and success and failure stories, current EHR training is largely empirically-based and often lacks theoretical guidance. In addition, the process of training development is underemphasized and underreported. A white paper by the American Medical Informatics Association called for models of user training for clinical information system implementation; existing instructional development models from learning theory provide a basis to meet this call. We describe in this paper our experiences and lessons learned as we adapted several instructional development models to guide our development of EHR user training. Specifically, we focus on two key aspects of this training development: training content and training process.

  18. An eye movement pre-training fosters the comprehension of processes and functions in technical systems.

    Science.gov (United States)

    Skuballa, Irene T; Fortunski, Caroline; Renkl, Alexander

    2015-01-01

    The main research goal of the present study was to investigate in how far pre-training eye movements can facilitate knowledge acquisition in multimedia (pre-training principle). We combined considerations from research on eye movement modeling and pre-training to design and test a non-verbal eye movement-based pre-training. Participants in the experimental condition watched an animated circle moving in close spatial resemblance to a static visualization of a solar plant accompanied by a narration in a subsequently presented learning environment. This training was expected to foster top-down processes as reflected in gaze behavior during the learning process and enhance knowledge acquisition. We compared two groups (N = 45): participants in the experimental condition received pre-training in a first step and processed the learning material in a second step, whereas the control group underwent the second step without any pre-training. The pre-training group outperformed the control group in their learning outcomes, particularly in knowledge about processes and functions of the solar plant. However, the superior learning outcomes in the pre-training group could not be explained by eye-movement patterns. Furthermore, the pre-training moderated the relationship between experienced stress and learning outcomes. In the control group, high stress levels hindered learning, which was not found for the pre-training group. On a delayed posttest participants were requested to draw a picture of the learning content. Despite a non-significant effect of training on the quality of drawings, the pre-training showed associations between learning outcomes at the first testing time and process-related aspects in the quality of their drawings. Overall, non-verbal pre-training is a successful instructional intervention to promote learning processes in novices although these processes did not directly reflect in learners' eye movement behavior during learning.

  19. [Application of the balanced scorecard for evaluating the training process].

    Science.gov (United States)

    Venturoli, Cristiana; Gamberoni, Loredana

    2009-01-01

    A training project in which nurses acted as tutors to novice nurses was introduced in the Ferrara University Hospital, with the aim of helping them to achieve the skills and professional expertise required in an operating theatre environment. Owing to the involvement of all the surgical divisions of the hospital and the continual addition of new staff, the Balanced Scorecard method (BSC) was used to assess the impact of training on the entire organization. The BSC method, a multidimensional method born in the USA in the 1990's, made it possible to assess the utility of training in the light of achieving institutional goals.

  20. SAR antenna design for ambiguity and multipath suppression

    DEFF Research Database (Denmark)

    Christensen, Erik Lintz; Dich, Mikael

    1993-01-01

    A high resolution airborne synthetic aperture radar (SAR) has been developed at the Electromagnetics Institute (EMI) for remote sensing applications. The paper considers the radiation of antennas for a SAR system from a systems perspective. The basic specifications of an idealised antenna...... are obtained from the required swath and the azimuth footprint needed for the SAR processing. The radiation from a real antenna causes unwanted signal returns that lead to intensity variations (multipath) and ghost echoes (ambiguity). Additional specifications are deduced by considering these signals...

  1. SAR image effects on coherence and coherence estimation.

    Energy Technology Data Exchange (ETDEWEB)

    Bickel, Douglas Lloyd

    2014-01-01

    Radar coherence is an important concept for imaging radar systems such as synthetic aperture radar (SAR). This document quantifies some of the effects in SAR which modify the coherence. Although these effects can disrupt the coherence within a single SAR image, this report will focus on the coherence between separate images, such as for coherent change detection (CCD) processing. There have been other presentations on aspects of this material in the past. The intent of this report is to bring various issues that affect the coherence together in a single report to support radar engineers in making decisions about these matters.

  2. Wetland InSAR

    Science.gov (United States)

    Wdowinski, S.; Kim, S.; Amelung, F.; Dixon, T.

    2006-12-01

    Wetlands are transition zones where the flow of water, the nutrient cycling, and the sun energy meet to produce a unique and very productive ecosystem. They provide critical habitat for a wide variety of plant and animal species, including the larval stages of many ocean fish. Wetlands also have a valuable economical importance, as they filter nutrients and pollutants from fresh water used by human and provide aquatic habitats for outdoor recreation, tourism, and fishing. Globally, many such regions are under severe environmental stress, mainly from urban development, pollution, and rising sea level. However, there is increasing recognition of the importance of these habitats, and mitigation and restoration activities have begun in a few regions. A key element in wetlands conservation, management, and restoration involves monitoring its hydrologic system, as the entire ecosystem depends on its water supply. Heretofore, hydrologic monitoring of wetlands are conducted by stage (water level) stations, which provide good temporal resolution, but suffer from poor spatial resolution, as stage station are typically distributed several, or even tens of kilometers, from one another. Wetland application of InSAR provides the needed high spatial resolution hydrological observations, complementing the high temporal resolution terrestrial observations. Although conventional wisdom suggests that interferometry does not work in vegetated areas, several studies have shown that both L- and C-band interferograms with short acquisition intervals (1-105 days) can maintain excellent coherence over wetlands. In this study we explore the usage of InSAR for detecting water level changes in various wetland environments around the world, including the Everglades (south Florida), Louisiana Coast (southern US), Chesapeake Bay (eastern US), Pantanal (Brazil), Okavango Delta (Botswana), and Lena Delta (Siberia). Our main study area is the Everglades wetland (south Florida), which is covered by

  3. Holistic face training enhances face processing in developmental prosopagnosia

    National Research Council Canada - National Science Library

    DeGutis, Joseph; Cohan, Sarah; Nakayama, Ken

    2014-01-01

    Prosopagnosia has largely been regarded as an untreatable disorder. However, recent case studies using cognitive training have shown that it is possible to enhance face recognition abilities in individuals with developmental prosopagnosia...

  4. Novel Polarimetric SAR Interferometry Algorithms Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Polarimetric SAR interferometry (PolInSAR) is a recently developed synthetic aperture radar (SAR) imaging mode that combines the capabilities of radar polarimetry...

  5. Improving the process of training of qualified swimmers-sprinters on the basis of training programs of power orientation

    OpenAIRE

    Pilipko, Olga; Kozhuh, Nina

    2015-01-01

    Purpose: improvement of process of training of qualified swimmers-sprinters. Material and Methods: analysis of scientific-methodic literature, pedagogical observation, questionnaire survey, pedagogical experiment, methods of mathematical statistics. The examined group consisted of sportsmen of high qualification who were members of the national team of Ukraine on the swimming. Results: the authors developed a program of training sessions of power orientation at the development of highly skill...

  6. Impact of mindfulness training on attentional control and anger regulation processes for psychotherapists in training.

    Science.gov (United States)

    Rodriguez Vega, Beatriz; Melero-Llorente, Javier; Bayon Perez, Carmen; Cebolla, Susana; Mira, Jorge; Valverde, Carla; Fernández-Liria, Alberto

    2014-01-01

    Little empirical literature focuses on psychotherapists' cultivation of internal states of mind necessary for controlling attention and responding empathically to the client. We explore the effects of mindfulness training on emotional and attentional measures in Spanish resident intern psychiatrists and clinical psychologists. One hundred and three residents were assigned to an experimental group (n = 60) that completed an 8-week mindfulness training versus a wait-list control group (n = 43). We evaluated emotional variables (sadness, anxiety, and anger, using standard instruments), state of mindfulness (using the Mindfulness Awareness Attention Scale), and attentional control variables using objective measures such as a continuous performance task and the Stroop task before and after mindfulness training. Our study provides data that suggest that mindfulness training significantly improves measures of trait anger and attentional control. Further research is needed to replicate these findings, explore the effects of mindfulness training on other aspects of emotional regulation and cognition, and evaluate the impact of these effects within clinical situations.

  7. Interactive Web Based Visualization of PS-InSAR and TomoSAR Results

    Science.gov (United States)

    Li, Shanshan; Wei, Lianhuan; Balz, Timo; Liao, Mingsheng

    2013-01-01

    Interactive web based visualization has become an important trend for displaying information dynamically. Synthetic Aperture Radar (SAR) data can be used to measure height and deformation information using interferometric SAR (InSAR) and differential InSAR (D-InSAR). Precise deformation information can be acquired in urban areas using Persistent Scatterer Interferometry (PS-InSAR) and differential SAR tomography (D-TomoSAR). PS-InSAR and TomoSAR results are usually represented as point clouds. In order to visualize this data dynamically, we developed an interactive web-based visualization system.

  8. Interactive Web-Based Visualization of PS-InSAR and TomoSAR

    Science.gov (United States)

    Li, Shanshan; Wei, Lianhuan; Balz, Timo; Liao, Mingsheng

    2013-01-01

    Interactive web based visualization has become an important trend for displaying information dynamically. Synthetic Aperture Radar (SAR) data can be used to measure height and deformation information using interferometric SAR (InSAR) and differential InSAR (D-InSAR). Precise deformation information can be acquired in urban areas using Persistent Scatterer Interferometry (PS-InSAR) and differential SAR tomography (D-TomoSAR). PS-InSAR and TomoSAR results are usually represented as point clouds. In order to visualize this data dynamically, we developed an interactive web-based visualization system

  9. Does Body Mass Index Modify Memory, Reasoning, and Speed of Processing Training Effects in Older Adults.

    Science.gov (United States)

    Clark, Daniel O; Xu, Huiping; Callahan, Christopher M; Unverzagt, Frederick W

    2016-11-01

    To describe 10-year trajectories of cognitive performance by body mass index (BMI) class and to investigate BMI differences in response to memory, reasoning, and speed of processing training in older adults. This is a secondary analysis of the multisite, randomized trial Advanced Cognitive Training for Independent and Vital Elderly. There were 701 older adults with normal weight, 1,081 with overweight, and 902 with obesity (mean age 73.6) randomized to memory training, reasoning training, speed of processing training, or no-training control group. Participants completed memory, reasoning, and speed of processing tests. Baseline sociodemographic, health, and chronic disease measures were included as covariates in analyses. The 10-year trajectories of memory, reasoning, or speed of processing performance did not differ by BMI status among the participants randomized to the untrained control arm. The training effect on the reasoning and speed of processing outcomes did not differ by BMI status. The training effect on the memory outcome in participants with a BMI indicating obesity, however, was just 38% of that observed in participants with normal-weight BMI. These analyses of data from the largest trial of cognitive training ever conducted suggest that older adults with obesity may be less responsive to memory training. © 2016 The Obesity Society.

  10. An improvement powerlifters’ training process with the use of information technology

    Directory of Open Access Journals (Sweden)

    Volodymyr Ashanin

    2017-10-01

    Full Text Available Purpose: improving the training process powerlifters’ with use of information technologies. Material & Methods: analysis and generalization of the literary sources and data of the Internet, pedagogical observations and the method of information modeling. Results: computer program "Bench Press" has been developed for the organization and management of the training process. Conclusion: developed an innovative software product that allows you to plan training loads based on the proposed sets of exercises.

  11. InSAR Scientific Computing Environment

    Science.gov (United States)

    Gurrola, E. M.; Rosen, P. A.; Sacco, G.; Zebker, H. A.; Simons, M.; Sandwell, D. T.

    2010-12-01

    The InSAR Scientific Computing Environment (ISCE) is a software development effort in its second year within the NASA Advanced Information Systems and Technology program. The ISCE will provide a new computing environment for geodetic image processing for InSAR sensors that will enable scientists to reduce measurements directly from radar satellites and aircraft to new geophysical products without first requiring them to develop detailed expertise in radar processing methods. The environment can serve as the core of a centralized processing center to bring Level-0 raw radar data up to Level-3 data products, but is adaptable to alternative processing approaches for science users interested in new and different ways to exploit mission data. The NRC Decadal Survey-recommended DESDynI mission will deliver data of unprecedented quantity and quality, making possible global-scale studies in climate research, natural hazards, and Earth's ecosystem. The InSAR Scientific Computing Environment is planned to become a key element in processing DESDynI data into higher level data products and it is expected to enable a new class of analyses that take greater advantage of the long time and large spatial scales of these new data, than current approaches. At the core of ISCE is both legacy processing software from the JPL/Caltech ROI_PAC repeat-pass interferometry package as well as a new InSAR processing package containing more efficient and more accurate processing algorithms being developed at Stanford for this project that is based on experience gained in developing processors for missions such as SRTM and UAVSAR. Around the core InSAR processing programs we are building object-oriented wrappers to enable their incorporation into a more modern, flexible, extensible software package that is informed by modern programming methods, including rigorous componentization of processing codes, abstraction and generalization of data models, and a robust, intuitive user interface with

  12. Treating Attention in Mild Aphasia: Evaluation of Attention Process Training-II

    Science.gov (United States)

    Murray, Laura L.; Keeton, R. Jessica; Karcher, Laura

    2006-01-01

    This study examined whether attention processing training-II [Sohlberg, M. M., Johnson, L., Paule, L., Raskin, S. A., & Mateer, C. A. (2001). "Attention Process Training-II: A program to address attentional deficits for persons with mild cognitive dysfunction" (2nd ed.). Wake Forest, NC: Lash & Associates.; APT-II], when applied in the context of…

  13. Clinical Therapy Data as Learning Process: The First Year of Clinical Training and beyond

    Science.gov (United States)

    Epstein, Laura

    2008-01-01

    The importance of the clinical therapy data in the learning process and clinical training is demonstrated. A complex interaction of reflection and practice through several different strategies and processes is necessary for the data collection by the students is discussed.

  14. Peculiarities of perfection of training process of the qualified bodybuilder in the competitive period

    Directory of Open Access Journals (Sweden)

    V.Yu. Dzhym

    2015-02-01

    Full Text Available Purpose: study methods of improving the training process of skilled bodybuilders in the competitive period. Material : The study involved 18 athletes aged 18-25 years old. The experiment was conducted for 8 weeks. Used two variants of training techniques: large percentage weights; with smooth dynamics with emphasis on static load muscles. Efficacy was evaluated using the preparation method of expert evaluations. The method involved the use of information on the implementation of directives coach dynamics of power and endurance performance, subjective indicators (health, mood, desire to train. Results : comparative characteristic of the most commonly used methods of training process in bodybuilding. Developed and justified best practices, depending on the initial form of the athlete at the beginning of the competition period of training. Shows the dependence of changes in body weight of the athlete training. Conclusions : the proposed best practices, depending on the microcycle training in the competitive period (precompetitive and competitive mesocycles.

  15. Focusing SAR data acquired from non-linear sensor trajectories

    OpenAIRE

    Frey, O.; Magnard, C; RÜEGG, M.; Meier, E.

    2008-01-01

    Standard focusing of SAR data assumes a straight recording track of the sensor platform. Small non-linearities of airborne platform tracks are corrected for during a motion compensation step while keeping the assumption of a linear flight path. In the following, the processing of SAR data from nonlinear tracks is discussed as may originate from small aircraft or drones flying at low altitude. They fly not a straight track but one dependent on topography, influences of weather and wind, or ...

  16. SAR Simulations & Safety.

    Science.gov (United States)

    Fiedler, Thomas M; Ladd, Mark E; Bitz, Andreas K

    2017-03-20

    At ultra-high fields, the assessment of radiofrequency (RF) safety presents several new challenges compared to low-field systems. Multi-channel RF transmit coils in combination with parallel transmit techniques produce time-dependent and spatially varying power loss densities in the tissue. Further, in ultra-high-field systems, localized field effects can be more pronounced due to a transition from the quasi stationary to the electromagnetic field regime. Consequently, local information on the RF field is required for reliable RF safety assessment as well as for monitoring of RF exposure during MR examinations. Numerical RF and thermal simulations for realistic exposure scenarios with anatomical body models are currently the only practical way to obtain the requisite local information on magnetic and electric field distributions as well as tissue temperature. In this article, safety regulations and the fundamental characteristics of RF field distributions in ultra-high-field systems are reviewed. Numerical methods for computation of RF fields as well as typical requirements for the analysis of realistic multi-channel RF exposure scenarios including anatomical body models are highlighted. In recent years, computation of the local tissue temperature has become of increasing interest, since a more accurate safety assessment is expected because temperature is directly related to tissue damage. Regarding thermal simulation, bio-heat transfer models and approaches for taking into account the physiological response of the human body to RF exposure are discussed. In addition, suitable methods are presented to validate calculated RF and thermal results with measurements. Finally, the concept of generalized simulation-based specific absorption rate (SAR) matrix models is discussed. These models can be incorporated into local SAR monitoring in multi-channel MR systems and allow the design of RF pulses under constraints for local SAR. Copyright © 2017 Elsevier Inc. All rights

  17. Improving the training process of skilled bodybuilders in specially-preparatory phase of the preparatory period

    Directory of Open Access Journals (Sweden)

    Viktor Dzhym

    2014-12-01

    Full Text Available Purpose: to study methods of improving the training process of skilled bodybuilders in a specially-preparatory phase of the preparatory period. Materials and Methods: the study involved 18 skilled bodybuilders are included in the team of the Kharkiv region of bodybuilding. Results: a comparative characteristic of the most commonly used methods of training process in bodybuilding. Developed and justified the optimal technique for skilled bodybuilders, depending on the initial form of the athlete at the beginning of a specially-preparatory phase of training. Shows the dependence of changes in body weight bodybuilder from the training process. Conclusions: on the basis of the research the author proposes an optimal method of training depending on the training microcycle in the run specially-preparatory stage.

  18. Synthetic SAR Image Generation using Sensor, Terrain and Target Models

    DEFF Research Database (Denmark)

    Kusk, Anders; Abulaitijiang, Adili; Dall, Jørgen

    2016-01-01

    A tool to generate synthetic SAR images of objects set on a clutter background is described. The purpose is to generate images for training Automatic Target Recognition and Identification algorithms. The tool employs a commercial electromagnetic simulation program to calculate radar cross sections...

  19. Shutting down sensorimotor interference unblocks the networks for stimulus processing: an SMR neurofeedback training study.

    Science.gov (United States)

    Kober, Silvia Erika; Witte, Matthias; Stangl, Matthias; Väljamäe, Aleksander; Neuper, Christa; Wood, Guilherme

    2015-01-01

    In the present study, we investigated how the electrical activity in the sensorimotor cortex contributes to improved cognitive processing capabilities and how SMR (sensorimotor rhythm, 12-15Hz) neurofeedback training modulates it. Previous evidence indicates that higher levels of SMR activity reduce sensorimotor interference and thereby promote cognitive processing. Participants were randomly assigned to two groups, one experimental (N=10) group receiving SMR neurofeedback training, in which they learned to voluntarily increase SMR, and one control group (N=10) receiving sham feedback. Multiple cognitive functions and electrophysiological correlates of cognitive processing were assessed before and after 10 neurofeedback training sessions. The experimental group but not the control group showed linear increases in SMR power over training runs, which was associated with behavioural improvements in memory and attentional performance. Additionally, increasing SMR led to a more salient stimulus processing as indicated by increased N1 and P3 event-related potential amplitudes after the training as compared to the pre-test. Finally, functional brain connectivity between motor areas and visual processing areas was reduced after SMR training indicating reduced sensorimotor interference. These results indicate that SMR neurofeedback improves stimulus processing capabilities and consequently leads to improvements in cognitive performance. The present findings contribute to a better understanding of the mechanisms underlying SMR neurofeedback training and cognitive processing and implicate that SMR neurofeedback might be an effective cognitive training tool. Copyright © 2014 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

  20. Culture and the Processes of Virtual Teaming for Training

    Science.gov (United States)

    Ahanchian, M. R.; McCormick, J.

    2009-01-01

    Virtual teamwork is a growing mode of operation within organizations through the increasing sophistication and accessibility of computer-mediated communication. The purpose of this paper was to develop a new conceptual framework and propositions to assist understanding of a new training phenomenon. The approach used was the integration of related,…

  1. On Modeling of Ejection Process in a Training Combat Aircraft

    Science.gov (United States)

    Głowiński, Sebastian; Krzyżyński, Tomasz

    2011-09-01

    The paper deals with modeling and simulation of motion trajectory of an ejection seat in the training-combat aircraft TS-11 "Iskra". The ejection seat and its operation are characterized. Mathematical and computer models are elaborated with the help of MATLAB-Simulink applications. Additionally, simulations are conducted for various velocities of the aircraft.

  2. Training's Role in the Process of Planned Change.

    Science.gov (United States)

    Jackson, Conrad N.

    1985-01-01

    Individual change is the key to organizational change. A seven-step model of individual change--awareness, understanding, belief, effort, reward, feedback, and system accommodation--provides a structure for the design and content of training programs that will ensure transfer of learning to the workplace. (SK)

  3. Bistatic SAR: Imagery & Image Products.

    Energy Technology Data Exchange (ETDEWEB)

    Yocky, David A.; Wahl, Daniel E.; Jakowatz, Charles V,

    2014-10-01

    While typical SAR imaging employs a co-located (monostatic) RADAR transmitter and receiver, bistatic SAR imaging separates the transmitter and receiver locations. The transmitter and receiver geometry determines if the scattered signal is back scatter, forward scatter, or side scatter. The monostatic SAR image is backscatter. Therefore, depending on the transmitter/receiver collection geometry, the captured imagery may be quite different that that sensed at the monostatic SAR. This document presents imagery and image products formed from captured signals during the validation stage of the bistatic SAR research. Image quality and image characteristics are discussed first. Then image products such as two-color multi-view (2CMV) and coherent change detection (CCD) are presented.

  4. Ambiguities analysis in SAR tomography

    Science.gov (United States)

    Wang, Ziwei; Zhang, Hong; Wang, Chao; Tang, Yixian; Zhang, Bo

    2014-10-01

    Synthetic aperture radar tomography (TomoSAR) is typically used to retrieve elevation, deformation, and other key information by separating scatters of the same slant range in multiple baseline SAR images. In this paper, we investigate two kinds of ambiguities for TomoSAR. Rank-1 ambiguity, as the first one we concerned, is due to the baseline distribution of the SAR image dataset which makes the steering matrix out of full rank. It will result in false alarms appearing in a permanent distance. However, an example using the TomoSAR imaging parameters shows this ambiguity makes no sense in most cases. The second ambiguity refers to the coherence of scatters contained in one pixel. In simulation experiment, the coherence will enhance the side lobes of the spectrum, even make the real peaks fused.

  5. Investigation on Fine Registration for SAR and Optical Image

    Directory of Open Access Journals (Sweden)

    You Hong-jian

    2014-02-01

    Full Text Available The registration of SAR and optical remote sensing image is the basise for fusing of multi-source image and comprehensive analysis. In this paper a new fine registration method for SAR and optical image is proposed. Firstly, three to four corresponding points are selected manually to realize a coarse registration that eliminates the differences in scale and rotation. Many characteristic points in the optical image are detected and the corresponding points in SAR image are extracted using normalized gradient correlations based on the different gradients by operators. An irregular triangle network is constructed using these corresponding points and each triangle region is finely registered. Finally SAR image and optical image are finely registered. Experiment and processed results demonstrate the feasibility of this method.

  6. Segment-based change detection for polarimetric SAR data

    DEFF Research Database (Denmark)

    Skriver, Henning; Nielsen, Allan Aasbjerg; Conradsen, Knut

    2006-01-01

    polarimetric synthetic aperture radar (SAR) backscatter data is the so-called covariance matrix data format. For each pixel this consists of a 3×3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices....... This method relies primarily on a robust edge detector, which preferably provides a constant false alarm rate. For single-channel SAR images this is fulfilled by the ratio edge detector, and for polarimetric SAR data, an edge detector based on the above mentioned test statistic fulfils this. Another approach...... criterion is based on the Wishart test statistic for fully polarimetric SAR data. 2. METHODOLOGY In change detection applications, at least two images must be available and used in the change detection process. If these images are segmented independently, the segments in the different images will most...

  7. A comparative study of SAR data compression schemes

    Science.gov (United States)

    Lambert-Nebout, C.; Besson, O.; Massonnet, D.; Rogron, B.

    1994-01-01

    The amount of data collected from spaceborne remote sensing has substantially increased in the last years. During same time period, the ability to store or transmit data has not increased as quickly. At this time, there is a growing interest in developing compression schemes that could provide both higher compression ratios and lower encoding/decoding errors. In the case of the spaceborne Synthetic Aperture Radar (SAR) earth observation system developed by the French Space Agency (CNES), the volume of data to be processed will exceed both the on-board storage capacities and the telecommunication link. The objective of this paper is twofold: to present various compression schemes adapted to SAR data; and to define a set of evaluation criteria and compare the algorithms on SAR data. In this paper, we review two classical methods of SAR data compression and propose novel approaches based on Fourier Transforms and spectrum coding.

  8. An Improved GLRT Method for Target Detection in SAR Imagery

    Directory of Open Access Journals (Sweden)

    Ju Yingyun

    2015-01-01

    Full Text Available Automatic ground vehicle detection based on SAR imagery is one of the important military applications of SAR. A region-based generalized likelihood ratio test (GLRT method is proposed in this paper, and this method combines the GLRT detection theory and image segmentation technology. First, the SAR imagery is roughly segmented as land clutter region and potential target region through the split and merge procedure often used for processing the original images. Then, based on the segmentation results, the reasonable statistical models for the data in the two regions are built respectively. Finally, with the knowledge of statistical characteristics of clutter and target, GLRT detection method is applied to the each pixel in the potential target region to obtain more accurate detection results. Experimental results based on real SAR data show that the proposed method can effectively detect the ground vehicle targets from the land clutter with excellent accuracy and speed.

  9. Wetlands Maps of Central Canada based on L-band SAR Imagery

    Science.gov (United States)

    Whitcomb, J.; Moghaddam, M.; Clewley, D.; McDonald, K. C.; Podest, E.; Chapman, B. D.

    2013-12-01

    Many boreal wetlands appear to be evolving into significant sources of greenhouse gases. The ability to accurately quantify the locations, types, and extents of northern wetlands is important to understanding their role in the global carbon cycle and responses to changes in climate. However, due to the extent of boreal wetlands and their inaccessibility, there have been few maps produced of this important ecosystem. To address this need, we have been constructing high-resolution (100 m) thematic maps of North American boreal wetlands. The maps are developed using space-based synthetic aperture radar (SAR), which is capable of efficiently providing high-resolution imagery of vast and often inaccessible regions. Unlike optical imagery, space-based SAR imagery is unaffected by cloud cover. Additionally, L-band SAR is able to sense vegetation structure and moisture content, as well as ground and surface water characteristics (even under vegetation canopies), thereby providing information unobtainable from optical sensors. Space-based L-band SAR thus constitutes an excellent tool for mapping boreal wetlands. One wetlands map is based on HH-polarized L-band SAR imagery from the Japanese Earth Resources Satellite (JERS-1), collected for both summer and winter in the late 1990s. A second map is based on dual-polarized (HH and HV) imagery from the Phased Array L-band SAR (PALSAR) sensor, collected in the summer of 2007. Prior to classification, a sequence of preprocessing steps are executed, including filtering, mosaicking, resampling, reprojection, co-registration, and the formation of supplementary data layers such as image texture, topographic slope, and proximity to water. This preprocessing is implemented by a semi-automated software suite specifically designed to handle the large volumes of data involved in the project. Training/testing data needed in the classification process are formed by merging national wetland inventory and land cover databases. Finally, a

  10. Automatic detection and mapping of oil spill using SAR images

    Energy Technology Data Exchange (ETDEWEB)

    Assilzadeh, H.; Gao, Y. [Calgary Univ., AB (Canada). Schulich School of Engineering, Dept. of Geomatics Engineering

    2008-07-01

    Satellite remote sensing can act as a supplement for other aerial observations for offshore oil spills that cover vast areas of the marine environment. A method for automatic detection and mapping of oil spills in synthetic aperture radar (SAR) images was presented. The proposed SAR framework includes detecting and classifying spilled areas based on texture analysis, thresholding, Gamma filtering and unsupervised classification. SAR is suitable for spills in situations when the oil cannot be seen or discriminated against the background. The automatic processing of a radar image for oil spill detection and delineation in seawater and coastal areas was demonstrated in this paper. Radar signatures were shown to be effective in distinguishing different regions of an oil spill, and classifying the oil spill region into 3 classes according to spill thicknesses. Classification is based on a gradient of back scattering value in spilled regions through different oil concentrations. However, there are some limitations regarding weather conditions in identifying oil slicks. At high winds, the oil may be washed down into the sea, leaving no surface effect in the SAR image. In addition, since SAR signals cannot be received at very low winds, no slicks can be observed. Experienced operators are needed to distinguish false alarms that may occur when processing oil spill look-alikes such as natural surfactants, sea alga and grease ice. The proposed SAR framework was shown to provide valuable information about oil spill scenarios and the extent of polluted areas. 26 refs., 4 figs.

  11. EFFECTS OF INQUIRY ON TRAINING AND CRITICAL THINKING PROCESS SKILL SCIENCE PHYSICS

    OpenAIRE

    Tetty Ompusunggu; Betty M Turnip; Makmur Sirait

    2016-01-01

    The aims of this research were to analyze the result of student’s Science Process Skills by using Inquiry Training Learning Model, to analyze the result of student’sScience Process Skills who had critical thinking ability above average better than critical thinking ability below average and to analyze the interaction between Inquiry training learning model and critical thinking ability of physics student’s Science Process Skills. This research was a quasi-experimental with two group pretest p...

  12. Effects of Inquiry on Training and Critical Thinking Process Skill Science Physics

    OpenAIRE

    Ompusunggu, Tetty; M Turnip, Betty; Sirait, Makmur

    2016-01-01

    The aims of this research were to analyze the result of student's Science Process Skills by using Inquiry Training Learning Model, to analyze the result of student'sScience Process Skills who had critical thinking ability above average better than critical thinking ability below average and to analyze the interaction between Inquiry training learning model and critical thinking ability of physics student's Science Process Skills. This research was a quasi-experimental with two group pretest p...

  13. Training your brain: Do mental and physical (MAP) training enhance cognition through the process of neurogenesis in the hippocampus?

    Science.gov (United States)

    Curlik, D M; Shors, T J

    2013-01-01

    New neurons are produced each day in the hippocampus through the process of neurogenesis. Both mental and physical training can modify this process by increasing the number of new cells that mature into functional neurons in the adult brain. However, the mechanisms whereby these increases occur are not necessarily the same. Physical activity, especially aerobic exercise greatly increases the number of new neurons that are produced in the hippocampal formation. In contrast, mental training via skill learning increases the numbers that survive, particularly when the training goals are challenging. Both manipulations can increase cognitive performance in the future, some of which are reportedly mediated by the presence of new neurons in the adult hippocampus. Based on these data, we suggest that a combination of mental and physical training, referred to here as MAP training, is more beneficial for neuronal recruitment and overall mental health than either activity alone. This article is part of a Special Issue entitled 'Cognitive Enhancers'. Copyright © 2012 Elsevier Ltd. All rights reserved.

  14. Airborne SAR Real-time Imaging Algorithm Design and Implementation with CUDA on NVIDIA GPU

    Directory of Open Access Journals (Sweden)

    Meng Da-di

    2013-12-01

    Full Text Available Synthetic Aperture Radar (SAR image processing requires huge computation amount. Traditionally, this task runs on the workstation or server based on Central Processing Unit (CPU and is rather time-consuming, hence real-time processing of SAR data is impossible. Based on Compute Unified Device Architecture (CUDA technology, a new plan of SAR imaging algorithm operated on NVIDIA Graphic Processing Unit (GPU is proposed. The new proposal makes it possible that the data processing procedure and CPU/GPU data exchanging execute concurrently, especially when SAR data size exceeds total GPU global memory size. Multi-GPU is suitably supported by the new proposal and all of computational resources are fully exploited. It is shown by experiment on NVIDIA K20C and INTEL E5645 that the proposed solution accelerates SAR data processing by tens of times. Consequently, the GPU based SAR processing system with the proposed solution embedded is much more power saving and portable, which makes it qualified to be a real-time SAR data processing system. Experiment shows that SAR data of 36 Mega points can be processed in real-time per second by K20C with the new solution equipped.

  15. Multiple Baseline SAR Tomography's Performance Analysis in Forest 3-D Structure Mapping with long term ALOS L band repeat pass InSAR data

    Science.gov (United States)

    Lin, Q.; Zebker, H. A.

    2013-12-01

    Acquiring accurate measurement of three-dimensional structure of forest globally , is key to improve quantitative understanding of the state and dynamics of ecosystems, particularly global carbon cycle. Moreover, forest contains a large portion of Earth's renewable natural resources. All these require an accurate, timely and cost-effective global forest vertical structure mapping. Synthetic Aperture Radar Interferometry (InSAR) remote sensing is widely acknowledged as a powerful tool to accomplish this task. Within the last decade, a number of experimental demonstrations of 3-D InSAR techniques have suggested the possibility of remotely sensing global 3-D vegetation structure. Among all the 3-D InSAR techniques, Multiple Baseline SAR Tomography( MB Tomo-SAR) is a very promising one. Multiple baseline SAR tomography exploits InSAR images acquired from different baselines and form a synthetic aperture in the vertical direction in order to retrieval vertical structure. Though theoretical predictions and several laboratory experiments show great reconstruction results, applying the method in real world condition still face a lot of challenges, including low acquisition number, irregular sample distribution, atmospheric phase noise and time decorrelation effect. In this article, we use L band ALOS spaceborne SAR data in Hawaii area to test the performance of MB TomoSAR . In the process, advanced Fourier beamforming method, atmospheric phase screen removal algorithm and time decorrelation effect are all applied. In addition, we also utilize the Landsat vegetation index and the result with other 3-D reconstruction methods as comparison to validate its performance.

  16. Interactive Whiteboard Integration in Classrooms: Active Teachers Understanding about Their Training Process

    Science.gov (United States)

    Pujol, Meritxell Cortada; Quintana, Maria Graciela Badilla; Romaní, Jordi Riera

    With the incorporation in education of Information and Communication Technologies (ICT), especially the Interactive Whiteboard (IWB), emerges the need for a proper teacher training process due to adequate the integration and the didactic use of this tool in the classroom. This article discusses the teachers' perception on the training process for ICT integration. Its main aim is to contribute to the unification of minimum criteria for effective ICT implementation in any training process for active teachers. This case study begins from the development of a training model called Eduticom which was putted into practice in 4 schools in Catalonia, Spain. Findings indicated different teachers' needs such as an appropriate infrastructure, a proper management and a flexible training model which essentially addresses methodological and didactic aspects of IWB uses in the classroom.

  17. Preparing promotoras to deliver health programs for Hispanic communities: training processes and curricula.

    Science.gov (United States)

    Koskan, Alexis M; Friedman, Daniela B; Brandt, Heather M; Walsemann, Katrina M; Messias, DeAnne K H

    2013-05-01

    Training is an essential component of health programs that incorporate promotoras de salud (the Spanish term for community health workers) in the delivery of health education and behavioral interventions to Hispanics. During training sessions, promotoras are exposed to information and skill-building activities they need to implement the health programs. This analysis was one component of a broader study which explored program planners' approaches to recruiting and training promotoras to deliver and sustain health promotion programs for Hispanic women. The purpose of this study was to examine promotora-curriculum and training processes used to prepare promotoras to deliver health programs. The authors examined transcripts of 12 in-depth interviews with program planners and conducted a content analysis of seven different training materials used in their respective promotora programs. Interview themes and narratives included program planners' varying conceptualizations of promotora-training, including their personal definitions of "training the trainer," the practice of training a cadre of promotoras before selecting those best fit for the program, and the importance of providing goal-directed, in-depth training and supervision for promotoras. The content analysis revealed a variety of strategies used to make the training materials interactive and culturally competent. Study implications describe the importance of planners' provision of ongoing, goal-directed, and supervised training using both appropriate language and interactive methods to engage and teach promotoras.

  18. A New Method Based on Two-Stage Detection Mechanism for Detecting Ships in High-Resolution SAR Images

    Directory of Open Access Journals (Sweden)

    Xu Yongli

    2017-01-01

    Full Text Available Ship detection in synthetic aperture radar (SAR remote sensing images, being a fundamental but challenging problem in the field of satellite image analysis, plays an important role for a wide range of applications and is receiving significant attention in recent years. Aiming at the requirements of ship detection in high-resolution SAR images, the accuracy, the intelligent level, a better real-time operation and processing efficiency, The characteristics of ocean background and ship target in high-resolution SAR images were analyzed, we put forward a ship detection algorithm in high-resolution SAR images. The algorithm consists of two detection stages: The first step designs a pre-training classifier based on improved spectral residual visual model to obtain the visual salient regions containing ship targets quickly, then achieve the purpose of probably detection of ships. In the second stage, considering the Bayesian theory of binary hypothesis detection, a local maximum posterior probability (MAP classifier is designed for the classification of pixels. After the parameter estimation and judgment criterion, the classification of pixels are carried out in the target areas to achieve the classification of two types of pixels in the salient regions. In the paper, several types of satellite image data, such as TerraSAR-X (TS-X, Radarsat-2, are used to evaluate the performance of detection methods. Comparing with classical CFAR detection algorithms, experimental results show that the algorithm can achieve a better effect of suppressing false alarms, which caused by the speckle noise and ocean clutter background inhomogeneity. At the same time, the detection speed is increased by 25% to 45%.

  19. Estimating the Doppler centroid of SAR data

    DEFF Research Database (Denmark)

    Madsen, Søren Nørvang

    1989-01-01

    After reviewing frequency-domain techniques for estimating the Doppler centroid of synthetic-aperture radar (SAR) data, the author describes a time-domain method and highlights its advantages. In particular, a nonlinear time-domain algorithm called the sign-Doppler estimator (SDE) is shown to have...... attractive properties. An evaluation based on an existing SEASAT processor is reported. The time-domain algorithms are shown to be extremely efficient with respect to requirements on calculations and memory, and hence they are well suited to real-time systems where the Doppler estimation is based on raw SAR...... data. For offline processors where the Doppler estimation is performed on processed data, which removes the problem of partial coverage of bright targets, the ΔE estimator and the CDE (correlation Doppler estimator) algorithm give similar performance. However, for nonhomogeneous scenes it is found...

  20. Changing How Students Process and Comprehend Texts with Computer-Based Self-Explanation Training

    Science.gov (United States)

    Kurby, Christopher A.; Magliano, Joseph P.; Dandotkar, Srikanth; Woehrle, James; Gilliam, Sara; McNamara, Danielle S.

    2012-01-01

    This study assessed whether and how self-explanation reading training, provided by iSTART (Interactive Strategy Training for Active Reading and Thinking), improves the effectiveness of comprehension processes. iSTART teaches students how to self-explain and which strategies will most effectively aid comprehension from moment-to-moment. We used…

  1. Cross-training workers in dual resource constrained systems with heterogeneous processing times

    NARCIS (Netherlands)

    Bokhorst, J. A. C.; Gaalman, G. J. C.

    2009-01-01

    In this paper, we explore the effect of cross-training workers in Dual Resource Constrained (DRC) systems with machines having different mean processing times. By means of queuing and simulation analysis, we show that the detrimental effects of pooling (cross-training) previously found in single

  2. Process mining approach for recovery of realized train paths and route conflict identification

    NARCIS (Netherlands)

    Kecman, P.; Goverde, R.M.P.

    2012-01-01

    Data records from train describer systems are a valuable source of information for analyzing railway operations performance and assessing railway timetable quality. This paper presents a tool based on process mining event data records from the Dutch train describer system TROTS. The underlying

  3. Training Outcomes of Field Instructors in the Evidence-Based Practice Process Model

    Science.gov (United States)

    Matthieu, Monica M.; Carter, Lorien; Casner, Robert W.; Edmond, Tonya E.

    2016-01-01

    This study evaluated a continuing education training program designed to increase field educators' capacities to support students in their application of the evidence-based practice (EBP) process. A cohort of social work field instructors and task supervisors from agency-based settings (N = 186) attended a 1-day interactive skill-based training.…

  4. Genre Interference in the Process of Foreign Language Speaking Training

    OpenAIRE

    Vavilova, Elena N.; Korneeva, Marina A.; Quy, Nguyen Ngoc

    2015-01-01

    This article is devoted to a study of speech genre competence formation in technical students studying foreign language (English or Russian as a foreign). Correlations of terms of speech genre theory and types of speech genre classification are the subject of this work; the need to form speech genre competence as a component of communicative competence during the educational process is substantiated. The authors suppose that during the process of learning a foreign language, processes not onl...

  5. Historical overview of the process of training of Senior Technician in Nursing in relation to research training

    Directory of Open Access Journals (Sweden)

    Lola Rosario Altamirano-Baquerizo

    2016-07-01

    Full Text Available The formation of the Senior Technician in Nursing has been studied by many researchers as a process that integrates knowledge, skills and attitudes for the development of techniques and nursing procedures to healthy individuals or patients, families and community in the various bodies of the Network Asistencial. This paper identifies the training needs of Technician in Nursing, as it has found some shortcomings that do not refer to little curricular and methodological intent of the research training of this professional in the Bolivarian Technological Institute of Ecuador. In addressing the characterization of the historical background of the formation of the Senior Technician in Nursing el-logical historical method to use as documentation reviewing educational programs and policies of vocational training the technical level in the Ecuadorian higher education was used.

  6. Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types

    Directory of Open Access Journals (Sweden)

    Sang-Hoon Hong

    2015-07-01

    Full Text Available The Florida Everglades is the largest subtropical wetland system in the United States and, as with subtropical and tropical wetlands elsewhere, has been threatened by severe environmental stresses. It is very important to monitor such wetlands to inform management on the status of these fragile ecosystems. This study aims to examine the applicability of TerraSAR-X quadruple polarimetric (quad-pol synthetic aperture radar (PolSAR data for classifying wetland vegetation in the Everglades. We processed quad-pol data using the Hong & Wdowinski four-component decomposition, which accounts for double bounce scattering in the cross-polarization signal. The calculated decomposition images consist of four scattering mechanisms (single, co- and cross-pol double, and volume scattering. We applied an object-oriented image analysis approach to classify vegetation types with the decomposition results. We also used a high-resolution multispectral optical RapidEye image to compare statistics and classification results with Synthetic Aperture Radar (SAR observations. The calculated classification accuracy was higher than 85%, suggesting that the TerraSAR-X quad-pol SAR signal had a high potential for distinguishing different vegetation types. Scattering components from SAR acquisition were particularly advantageous for classifying mangroves along tidal channels. We conclude that the typical scattering behaviors from model-based decomposition are useful for discriminating among different wetland vegetation types.

  7. Improving the training process of highly skilled bodybuilders in the preparatory period, general preparatory phase

    Directory of Open Access Journals (Sweden)

    Olexandr Tyhorskyy

    2015-08-01

    Full Text Available Purpose: to improve the method of training highly skilled bodybuilders during the general preparatory phase. Material and Methods: the study involved eight highly skilled athletes, members of the team of Ukraine on bodybuilding. Results: comparative characteristics of the most commonly used methods of training process in bodybuilding. Developed and substantiated the optimal method of training highly skilled bodybuilders during the general preparatory phase of the preparatory period, which can increase body weight through muscle athletes component. Conclusions: based on studies, recommended the optimum method of training highly skilled bodybuilders depending on mezotsykles and microcycles general preparatory phase

  8. Improving the training process of highly skilled bodybuilders in the preparatory period, general preparatory phase

    Directory of Open Access Journals (Sweden)

    Olexandr Tyhorskyy

    2015-10-01

    Full Text Available Purpose: to improve the method of training highly skilled bodybuilders. Material and Methods: the study involved eight highly skilled athletes, members of the team of Ukraine on bodybuilding. Results: comparative characteristics of the most commonly used methods of training process in bodybuilding. Developed and substantiated the optimal method of training highly skilled bodybuilders during the general preparatory phase of the preparatory period, which can increase body weight through muscle athletes component. Conclusions: dynamic load factor to raise the intensity of training loads allows orientation help to increase volumes shoulder muscles

  9. Improvement of training process of powerlifters on the basis of an interactive program "PersTrainer"

    Directory of Open Access Journals (Sweden)

    Volodymyr Ashanin

    2017-12-01

    Full Text Available Purpose: to develop and scientifically substantiate the program "PersTrainer" for improving the training process of powerlifters. Material & Methods: the study involved the powerlifters of 16–18 years. The following research methods were used: analysis and generalization of the literary sources and data of the Internet, pedagogical observation and the method of information modeling. Results: the interactive program "PersTrainer" is developed and theoretically justified, which allows individually calculating the training load in different training cycles. Conclusion: it is possible to plan training loads on the basis of individually proposed exercise complexes, which are presented in the interactive program "PersTrainer".

  10. Navigating the Grad School Application Process: A Training Schedule

    Science.gov (United States)

    Swindlehurst, Garrett R.; Bullard, Lisa G.

    2014-01-01

    Through a simple step-by-step guide for navigating the graduate school application process, a graduate student who's been through the ringer and a faculty advisor who knows the ropes offer advice to walk prospective grad students through the process of successfully entering graduate school. A repeat printing.

  11. Higher-order cognitive training effects on processing speed-related neural activity: a randomized trial.

    Science.gov (United States)

    Motes, Michael A; Yezhuvath, Uma S; Aslan, Sina; Spence, Jeffrey S; Rypma, Bart; Chapman, Sandra B

    2017-10-12

    Higher-order cognitive training has shown to enhance performance in older adults, but the neural mechanisms underlying performance enhancement have yet to be fully disambiguated. This randomized trial examined changes in processing speed and processing speed-related neural activity in older participants (57-71 years of age) who underwent cognitive training (CT, N = 12) compared with wait-listed (WLC, N = 15) or exercise-training active (AC, N = 14) controls. The cognitive training taught cognitive control functions of strategic attention, integrative reasoning, and innovation over 12 weeks. All 3 groups worked through a functional magnetic resonance imaging processing speed task during 3 sessions (baseline, mid-training, and post-training). Although all groups showed faster reaction times (RTs) across sessions, the CT group showed a significant increase, and the WLC and AC groups showed significant decreases across sessions in the association between RT and BOLD signal change within the left prefrontal cortex (PFC). Thus, cognitive training led to a change in processing speed-related neural activity where faster processing speed was associated with reduced PFC activation, fitting previously identified neural efficiency profiles. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  12. VideoSAR collections to image underground chemical explosion surface phenomena

    Science.gov (United States)

    Yocky, David A.; Calloway, Terry M.; Wahl, Daniel E.

    2017-05-01

    Fully-polarimetric X-band (9.6 GHz center frequency) VideoSAR with 0.125-meter ground resolution flew collections before, during, and after the fifth Source Physics Experiment (SPE-5) underground chemical explosion. We generate and exploit synthetic aperture RADAR (SAR) and VideoSAR products to characterize surface effects caused by the underground explosion. To our knowledge, this has never been done. Exploited VideoSAR products are "movies" of coherence maps, phase-difference maps, and magnitude imagery. These movies show two-dimensional, time-varying surface movement. However, objects located on the SPE pad created unwanted, vibrating signatures during the event which made registration and coherent processing more difficult. Nevertheless, there is evidence that dynamic changes are captured by VideoSAR during the event. VideoSAR provides a unique, coherent, time-varying measure of surface expression of an underground chemical explosion.

  13. Questionnaire survey on the process of specialty training in neurology in Japan.

    Science.gov (United States)

    Sonoo, Masahiro; Nishiyama, Kazutoshi; Ando, Tetsuo; Shindo, Katsuro; Kanda, Takashi; Aoki, Masashi; Kamei, Satoshi; Kikuchi, Seiji; Kusunoki, Susumu; Suzuki, Norihiro; Sobue, Gen; Nakashima, Kenji; Hara, Hideo; Hirata, Koichi; Mizusawa, Hidehiro; Murai, Hiroyuki; Murata, Miho; Mochizuki, Hideki; Takahashi, Ryosuke; Kira, Jun-Ichi

    2017-07-29

    Documentation of the current status of specialty training to become a neurologist in Japan would represent an important basis for constructing better neurology training program in the planned reform of the specialty training system in Japan. The committee for future neurology specialty system of Japanese Society of Neurology (JSN) conducted a questionnaire survey on the process of specialty training of each trainee for neurology in board-certified educational facilities and semi-educational facilities throughout Japan. The response rate was 46.2% in all facilities and 87.5% in medical universities. The training process of 905 trainees over 5 grades was clarified, which was estimated to be about 80% of all the relevant subjects. Specialty training dedicated to neurology was started at the 3rd year of residency in 87.8% of subjects. During the 3 years following junior residency, 51.3% of subjects ran the rotation training between university and city hospital, whereas 36.5% was trained within the same institution throughout the 3 years of training period.

  14. Effect of Speed of Processing Training on Older Driver Screening Measures

    National Research Council Canada - National Science Library

    Chopra, Sidhant; Eramudugolla, Ranmalee; Kiely, Kim M; Anstey, Kaarin J

    2017-01-01

    .... Several large trials have focused on speed of processing (SOP) training with some promising findings for long-term effects on daily activity, but no immediate transfer to other cognitive tests...

  15. Students' inclusion to the value of physical culture during the process of athletic training

    National Research Council Canada - National Science Library

    Sychov S.O

    2011-01-01

    Means and methods of students' inclusion to the value of physical culture, during the process of athletic training on the classes of physical education are opened in this article 52 students took part in research...

  16. Training improves multitasking performance by increasing the speed of information processing in human prefrontal cortex.

    Science.gov (United States)

    Dux, Paul E; Tombu, Michael N; Harrison, Stephenie; Rogers, Baxter P; Tong, Frank; Marois, René

    2009-07-16

    Our ability to multitask is severely limited: task performance deteriorates when we attempt to undertake two or more tasks simultaneously. Remarkably, extensive training can greatly reduce such multitasking costs. While it is not known how training alters the brain to solve the multitasking problem, it likely involves the prefrontal cortex given this brain region's purported role in limiting multitasking performance. Here, we show that the reduction of multitasking interference with training is not achieved by diverting the flow of information processing away from the prefrontal cortex or by segregating prefrontal cells into independent task-specific neuronal ensembles, but rather by increasing the speed of information processing in this brain region, thereby allowing multiple tasks to be processed in rapid succession. These results not only reveal how training leads to efficient multitasking, they also provide a mechanistic account of multitasking limitations, namely the poor speed of information processing in human prefrontal cortex.

  17. PLANNING AND PROGRAMING OF THE TRAINING PROCESS WITH YOUNG SPRINTERS IN THE PREPARATORY PERIOD

    Directory of Open Access Journals (Sweden)

    Rade Stefanović

    2007-05-01

    Full Text Available the training process, it is necessary to know the rules and to apply the leading factors in time (the application of the means of physical exercises, methods, organizational forms of work and the scope optimization of the load intensity which contribute to the effi ciency of the training process. The morphologic status represented by the information on longitudinal and transferal dimensionality of the skeleton as well as the information on the body volume has the doubtless but relatively small signifi cance for achieving the results in sprinter running as with men as well as with women. Sport result in the training process is the product of made selection, regular organization of the working methods and all this in compliance with the individual characteristics of a sportsman. The plan and the basic division of the activities are based on the exercises for loosening up, speeding up and on load exercises in all forms of the training process

  18. Effects of a process-based cognitive training intervention for patients with stress-related exhaustion.

    Science.gov (United States)

    Gavelin, Hanna Malmberg; Boraxbekk, Carl-Johan; Stenlund, Therese; Järvholm, Lisbeth Slunga; Neely, Anna Stigsdotter

    2015-01-01

    Stress-related exhaustion has been linked to a pattern of selective cognitive impairments, mainly affecting executive functioning, attention and episodic memory. Little is known about potential treatments of these cognitive deficits. The purpose of this study was to evaluate the effects of a process-based cognitive training intervention, designed to target the specific cognitive impairments associated with stress-related exhaustion. To this end, patients diagnosed with exhaustion disorder (ED) were randomized to either a multimodal stress rehabilitation program with the addition of a process-based cognitive training intervention (training group, n = 27) or a treatment-as-usual control condition, consisting of multimodal stress rehabilitation with no additional training (control group, n = 32). Treatment effects were evaluated through an extensive cognitive test battery, assessing both near and far transfer effects, as well as self-report forms regarding subjective cognitive complaints and burnout levels. Results showed pronounced training-related improvements on the criterion updating task (p effects to updating (p = 0.01) and episodic memory (p = 0.04). Also, the trained group reported less subjective memory complaints (p = 0.02) and levels of burnout decreased for both groups, but more so for the trained group (p = 0.04), following the intervention. These findings suggest that process-based cognitive training may be a viable method to address the cognitive impairments associated with ED.

  19. Investigating Students’ Viewpointson the Effect of Peer Groups and Sports on Education and Training Process

    Directory of Open Access Journals (Sweden)

    M AfkhamiAghda

    2015-05-01

    Conclusion: The students’ points of view showed that peer groups and sports have a very high effect on education and training process thus leading to the improvement of social relationship and increasinglearning in different groups. Therefore, strengthening the peer groups and sport teams in educational environments has a very important influence on socialization of teenagers and youth thereby facilitating the acquisition of life skills and learning process and thus the education and training development in society

  20. Single and Multipolarimetric P-Band SAR Tomography of Subsurface Ice Structure

    DEFF Research Database (Denmark)

    Banda, Francesco; Dall, Jørgen; Tebaldini, Stefano

    2016-01-01

    In this paper, first results concerning the characterization of the subsurface of ice sheets and glaciers through single and multipolarization synthetic aperture radar (SAR) tomography (TomoSAR) are illustrated. To this aim, the processing of data acquired in the framework of the European Space......-band SAR to retrieve any information about ice subsurface structure. Imaging has been achieved through TomoSAR techniques, applied to airborne multibaseline data acquired in the southwest of Greenland. Different imaging approaches are compared, and the main results achieved are presented: It is found...

  1. Special features of the training process in the system of multi sports training young athletes

    Directory of Open Access Journals (Sweden)

    Sitnikova N.S.

    2010-12-01

    Full Text Available The system of planning of trainings employments is considered in setup time for sprinters. In research took part sportsmen in age 10-16 years. In all age-dependent groups of athletes of mean of renewal was used one time per a week during 1,5 hours. For sportsmen 10-12 years it was 4,33%, 13-14 years - 6,63%, 15-16 years - 8,46% from the general volume of clock. The planning system is developed taking into account additional restoration measures. The planning system takes into account age of runners, half, stage of long-term sporting preparation.

  2. SAR calculation using FDTD simulations

    OpenAIRE

    Ferro, Francisco Nabais; Pinto, Guilherme Taveira; Pinho, Pedro

    2009-01-01

    The main intend of this work, is to determinate the Specific Absorption Rate (SAR) on human head tissues exposed to radiation caused by sources of 900 and 1800MHz, since those are the typical frequencies for mobile communications systems nowadays. In order to determinate the SAR, has been used the FDTD (Finite Difference Time Domain), which is a numeric method in time domain, obtained from the Maxwell equations in differential mode. In order to do this, a computational model from the human he...

  3. Feature-Based Nonlocal Polarimetric SAR Filtering

    Directory of Open Access Journals (Sweden)

    Xiaoli Xing

    2017-10-01

    Full Text Available Polarimetric synthetic aperture radar (PolSAR images are inherently contaminated by multiplicative speckle noise, which complicates the image interpretation and image analyses. To reduce the speckle effect, several adaptive speckle filters have been developed based on the weighted average of the similarity measures commonly depending on the model or probability distribution, which are often affected by the distribution parameters and modeling texture components. In this paper, a novel filtering method introduces the coefficient of variance ( CV and Pauli basis (PB to measure the similarity, and the two features are combined with the framework of the nonlocal mean filtering. The CV is used to describe the complexity of various scenes and distinguish the scene heterogeneity; moreover, the Pauli basis is able to express the polarimetric information in PolSAR image processing. This proposed filtering combines the CV and Pauli basis to improve the estimation accuracy of the similarity weights. Then, the similarity of the features is deduced according to the test statistic. Subsequently, the filtering is proceeded by using the nonlocal weighted estimation. The performance of the proposed filter is tested with the simulated images and real PolSAR images, which are acquired by AIRSAR system and ESAR system. The qualitative and quantitative experiments indicate the validity of the proposed method by comparing with the widely-used despeckling methods.

  4. Signal subspace change detection in averaged multi-look SAR imagery

    Science.gov (United States)

    Ranney, Kenneth; Soumekh, Mehrdad

    2005-05-01

    Modern Synthetic Aperture Radar (SAR) signal processing algorithms could retrieve accurate and subtle information regarding a scene that is being interrogated by an airborne radar system. An important reconnaissance problem that is being studied via the use of SAR systems and their sophisticated signal processing methods involves detecting changes in an imaged scene. In these problems, the user interrogates a scene with a SAR system at two different time points (e.g. different days); the resultant two SAR databases that we refer to as reference and test data, are used to determine where targets have entered or left the imaged scene between the two data acquisitions. For instance, X band SAR systems have the potential to become a potent tool to determine whether mines have been recently placed in an area. This paper describes an algorithm for detecting changes in averaged multi-look SAR imagery. Averaged multi-look SAR images are preferable to full aperture SAR reconstructions when the imaging algorithm is approximation based (e.g. polar format processing), or motion data are not accurate over a long full aperture. We study the application of a SAR detection method, known as Signal Subspace Processing, that is based on the principles of 2D adaptive filtering. We identify the change detection problem as a binary hypothesis-testing problem, and identify an error signal and its normalized version to determine whether i) there is no change in the imaged scene; or ii) a target has been added to the imaged scene. A statistical analysis of the error signal is provided to show its properties and merits. Results are provided for data collected by an X band SAR platform and processed to form non-coherently look-averaged SAR images.

  5. Process flows for cyber forensic training and operations

    CSIR Research Space (South Africa)

    Venter, JP

    2006-02-01

    Full Text Available and then had to rush through the process of seizing the hard disks, which are much more important, and in the process would make mistakes. In [6] much more detailed and sequenced information is provided. This information is however spread over several pages.... It was observed that the Cyber First Responders did not refer back to this sort of information during the seizure or got the information mixed up because of it being distributed over several pages. This again caused anxiousness that led to mistakes being made...

  6. Processing speed training increases the efficiency of attentional resource allocation in young adults

    Directory of Open Access Journals (Sweden)

    Wesley K Burge

    2013-10-01

    Full Text Available Cognitive training has been shown to improve performance on a range of tasks. However, the mechanisms underlying these improvements are still unclear. Given the wide range of transfer effects, it is likely that these effects are due to a factor common to a wide range of tasks. One such factor is a participant’s efficiency in allocating limited cognitive resources. The impact of a cognitive training program, Processing Speed Training (PST, on the allocation of resources to a set of visual tasks was measured using pupillometry in 10 young adults as compared to a control group of a 10 young adults (n = 20. PST is a well-studied computerized training program that involves identifying simultaneously presented central and peripheral stimuli. As training progresses, the task becomes increasingly more difficult, by including peripheral distracting stimuli and decreasing the duration of stimulus presentation. Analysis of baseline data confirmed that pupil diameter reflected cognitive effort. After training, participants randomized to PST used fewer attentional resources to perform complex visual tasks as compared to the control group. These pupil diameter data indicated that PST appears to increase the efficiency of attentional resource allocation. Increases in cognitive efficiency have been hypothesized to underlie improvements following experience with action video games, and improved cognitive efficiency has been hypothesized to underlie the benefits of processing speed training in older adults. These data reveal that these training schemes may share a common underlying mechanism of increasing cognitive efficiency in younger adults.

  7. Can nonlinguistic musical training change the way the brain processes speech? The expanded OPERA hypothesis.

    Science.gov (United States)

    Patel, Aniruddh D

    2014-02-01

    A growing body of research suggests that musical training has a beneficial impact on speech processing (e.g., hearing of speech in noise and prosody perception). As this research moves forward two key questions need to be addressed: 1) Can purely instrumental musical training have such effects? 2) If so, how and why would such effects occur? The current paper offers a conceptual framework for understanding such effects based on mechanisms of neural plasticity. The expanded OPERA hypothesis proposes that when music and speech share sensory or cognitive processing mechanisms in the brain, and music places higher demands on these mechanisms than speech does, this sets the stage for musical training to enhance speech processing. When these higher demands are combined with the emotional rewards of music, the frequent repetition that musical training engenders, and the focused attention that it requires, neural plasticity is activated and makes lasting changes in brain structure and function which impact speech processing. Initial data from a new study motivated by the OPERA hypothesis is presented, focusing on the impact of musical training on speech perception in cochlear-implant users. Suggestions for the development of animal models to test OPERA are also presented, to help motivate neurophysiological studies of how auditory training using non-biological sounds can impact the brain's perceptual processing of species-specific vocalizations. This article is part of a Special Issue entitled brain>. Copyright © 2013 Elsevier B.V. All rights reserved.

  8. Noise Removal in SAR Images using Orthonormal Ridgelet Transform

    Directory of Open Access Journals (Sweden)

    A. Ravi,

    2015-05-01

    Full Text Available Development in the field of image processing for reducing speckle noise from digital images/satellite images is a challenging task for image processing applications. Previously many algorithms were proposed to de-speckle the noise in digital images. Here in this article we are presenting experimental results on de-speckling of Synthetic Aperture RADAR (SAR images. SAR images have wide applications in remote sensing and mapping the surfaces of all planets. SAR can also be implemented as "inverse SAR" by observing a moving target over a substantial time with a stationary antenna. Hence denoising of SAR images is an essential task for viewing the information. Here we introduce a transformation technique called ―Ridgelet‖, which is an extension level of wavelet. Ridgelet analysis can be done in the similar way how wavelet analysis was done in the Radon domain as it translates singularities along lines into point singularities under different frequencies. Simulation results were show cased for proving that proposed work is more reliable than compared to other despeckling processes, and the quality of de-speckled image is measured in terms of Peak Signal to Noise Ratio and Mean Square Error.

  9. EFFECTS OF INQUIRY ON TRAINING AND CRITICAL THINKING PROCESS SKILL SCIENCE PHYSICS

    Directory of Open Access Journals (Sweden)

    Tetty Ompusunggu

    2016-12-01

    Full Text Available The aims of this research were to analyze the result of student’s Science Process Skills by using Inquiry Training Learning Model, to analyze the result of student’sScience Process Skills who had critical thinking ability above average better than critical thinking ability below average and to analyze the interaction between Inquiry training learning model and critical thinking ability of physics student’s Science Process Skills. This research was a quasi-experimental with two group pretest posttest design and anova design. The sample was conducted by cluster random sampling of two classes, the first class as experiment class with inquiry training Learning Model, and the second class as a control class with Conventional Learning. The research instrument consisted of science process skills test and critical thinking test. Data in this research was analyzed by using two ways Anova. The results of the research showed that student’s Science Process Skills using inquiry training learning model better than conventional learning, student’s Science Process Skills who had critical thinking above average better than critical thinking below average, and there was interaction between Inquiry training learning model and critical thinking to improve physics sudent’s Science Process Skills

  10. The benefits of executive control training and the implications for language processing

    Directory of Open Access Journals (Sweden)

    Erika K. Hussey

    2012-05-01

    Full Text Available Recent psycholinguistics research suggests that the executive function (EF skill known as conflict resolution—the ability to adjust behavior in the service of resolving among incompatible representations—is important for several language processing tasks such as lexical and syntactic ambiguity resolution, verbal fluency, and common-ground assessment. Here, we discuss work showing that various EF skills can be enhanced through consistent practice with working memory tasks that tap these EFs, and, moreover, that improvements on the training tasks transfer across domains to novel tasks that may rely on shared underlying EFs. These findings have implications for language processing and could launch new research exploring if EF training, within a process-specific framework, could be used as a remediation tool for improving general language use. Indeed, work in our lab demonstrates that EF training that increases conflict-resolution processes has selective benefits on an untrained sentence-processing task requiring syntactic ambiguity resolution, which relies on shared conflict-resolution functions. Given claims that conflict-resolution abilities contribute to a range of linguistic skills, EF training targeting this process could theoretically yield wider performance gains beyond garden-path recovery. We offer some hypotheses on the potential benefits of EF training as a component of interventions to mitigate general difficulties in language processing. However, there are caveats to consider as well, which we also address.

  11. The teacher training process through distance education: a pioneer experience

    Directory of Open Access Journals (Sweden)

    Oscar Massaru Fujita

    2016-06-01

    Full Text Available This paper presents briefly the actions conducted in the formation process and established partnerships to achieve the pioneering educational process of Distance Education (DE courses of the State University of Londrina (UEL-PR. The methodological design was developed according to the Qualitative Approach of Action-Research type that prioritizes the development and analysis of the process along with the "meaning" that people give to things and your life than actually the product itself. The data collected through questionnaires at the end of the course signal impressions (positive and constructive criticism we received and the meanings experienced teacher students (testimonials, chats, discussion forums, projects in the courses offered. The experience lived in these three courses: Virtual Learning Environment (60 hours; Tutoring in distance education (60 hours and Teaching Materials in Distance Education (60 hours, from its conception to its actual conclusion, make us think that we are on the right way and by TDIC, new horizons may open up to the institution in short- and medium-term.

  12. Working memory and processing speed training in schizophrenia: study protocol for a randomized controlled trial.

    Science.gov (United States)

    Cassetta, Briana D; Goghari, Vina M

    2016-01-26

    In most domains of cognition, individuals with schizophrenia are generally found to be one standard deviation below the mean of the controls. As a result, examining the impact of cognitive remediation in individuals with schizophrenia has been a burgeoning area of research. However, the state of the literature remains unclear as to which domains of cognition should be targeted to produce the most widespread and durable benefits for individuals with schizophrenia. One suggestion is that targeting lower-level cognitive processes that are important for higher-level and more complex aspects of cognition may produce the most widespread benefits in cognition and everyday functioning. Relatively few studies have examined the effects of working memory or processing speed training in schizophrenia, as most studies examine broad-based remediation programs. Thus, a need exists for targeted working memory and processing speed training studies to better understand the mechanisms of cognitive enhancement in patients. This study aims to 1) investigate near-transfer gains (that is, the transfer of learning to related contexts) associated with working memory and processing speed training in schizophrenia patients; 2) investigate far-transfer gains (that is, the transfer of learning to new contexts) associated with working memory and processing speed training (that is, gains in other neurocognitive domains and social cognition); and 3) investigate real-world gains associated with training (that is, gains in daily functioning). A double-blind randomized controlled trial with a three parallel group design will be conducted. A random sample of 81 patients with schizophrenia or schizoaffective disorder will be recruited through outpatient clinics at Foothills Hospital and community support programs in Calgary, Alberta. Participants will be randomly assigned using a computer-generated program in a 1:1:1 ratio to a working memory-training group, a processing speed-training group, or a no-training

  13. Convolutional Neural Network-based SAR Image Classification with Noisy Labels

    Directory of Open Access Journals (Sweden)

    Zhao Juanping

    2017-10-01

    Full Text Available SAR image classification is an important task in SAR image interpretation. Supervised learning methods, such as the Convolutional Neural Network (CNN, demand samples that are accurately labeled. However, this presents a major challenge in SAR image labeling. Due to their unique imaging mechanism, SAR images are seriously affected by speckle, geometric distortion, and incomplete structural information. Thus, SAR images have a strong non-intuitive property, which causes difficulties in SAR image labeling, and which results in the weakened learning and generalization performance of many classifiers (including CNN. In this paper, we propose a Probability Transition CNN (PTCNN for patch-level SAR image classification with noisy labels. Based on the classical CNN, PTCNN builds a bridge between noise-free labels and their noisy versions via a noisy-label transition layer. As such, we derive a new CNN model trained with a noisily labeled training dataset that can potentially revise noisy labels and improve learning capacity with noisily labeled data. We use a 16-class land cover dataset and the MSTAR dataset to demonstrate the effectiveness of our model. Our experimental results show the PTCNN model to be robust with respect to label noise and demonstrate its promising classification performance compared with the classical CNN model. Therefore, the proposed PTCNN model could lower the standards required regarding the quality of image labels and have a variety of practical applications.

  14. Development of a High Resolution Airborne Millimeter Wave FM-CW SAR

    NARCIS (Netherlands)

    Meta, A.; Wit, J.J.M. de; Hoogeboom, P.

    2004-01-01

    The combination of compact FM-CW radar technology and high resolution SAR processing techniques should pave the way for the development of a small, lightweight and cost effective imaging radar. In the field of airborne earth observation, SAR is however a novel application for FM-CW radars. At IRCTR

  15. Using Sentinel-1 SAR satellites to map wind speed variation across offshore wind farm clusters

    Science.gov (United States)

    James, S. F.

    2017-11-01

    Offshore wind speed maps at 500m resolution are derived from freely available satellite Synthetic Aperture Radar (SAR) data. The method for processing many SAR images to derive wind speed maps is described in full. The results are tested against coincident offshore mast data. Example wind speed maps for the UK Thames Estuary offshore wind farm cluster are presented.

  16. Detecting and monitoring UCG subsidence with InSAR

    Energy Technology Data Exchange (ETDEWEB)

    Mellors, R J; Foxall, W; Yang, X

    2012-03-23

    The use of interferometric synthetic aperture radar (InSAR) to measure surface subsidence caused by Underground Coal Gasification (UCG) is tested. InSAR is a remote sensing technique that uses Synthetic Aperture Radar images to make spatial images of surface deformation and may be deployed from satellite or an airplane. With current commercial satellite data, the technique works best in areas with little vegetation or farming activity. UCG subsidence is generally caused by roof collapse, which adversely affects UCG operations due to gas loss and is therefore important to monitor. Previous studies have demonstrated the usefulness of InSAR in measuring surface subsidence related to coal mining and surface deformation caused by a coal mining roof collapse in Crandall Canyon, Utah is imaged as a proof-of-concept. InSAR data is collected and processed over three known UCG operations including two pilot plants (Majuba, South Africa and Wulanchabu, China) and an operational plant (Angren, Uzbekistan). A clear f eature showing approximately 7 cm of subsidence is observed in the UCG field in Angren. Subsidence is not observed in the other two areas, which produce from deeper coal seams and processed a smaller volume. The results show that in some cases, InSAR is a useful tool to image UCG related subsidence. Data from newer satellites and improved algorithms will improve effectiveness.

  17. G0-WISHART Distribution Based Classification from Polarimetric SAR Images

    Science.gov (United States)

    Hu, G. C.; Zhao, Q. H.

    2017-09-01

    Enormous scientific and technical developments have been carried out to further improve the remote sensing for decades, particularly Polarimetric Synthetic Aperture Radar(PolSAR) technique, so classification method based on PolSAR images has getted much more attention from scholars and related department around the world. The multilook polarmetric G0-Wishart model is a more flexible model which describe homogeneous, heterogeneous and extremely heterogeneous regions in the image. Moreover, the polarmetric G0-Wishart distribution dose not include the modified Bessel function of the second kind. It is a kind of simple statistical distribution model with less parameter. To prove its feasibility, a process of classification has been tested with the full-polarized Synthetic Aperture Radar (SAR) image by the method. First, apply multilook polarimetric SAR data process and speckle filter to reduce speckle influence for classification result. Initially classify the image into sixteen classes by H/A/α decomposition. Using the ICM algorithm to classify feature based on the G0-Wshart distance. Qualitative and quantitative results show that the proposed method can classify polaimetric SAR data effectively and efficiently.

  18. Coastline detection with time series of SAR images

    Science.gov (United States)

    Ao, Dongyang; Dumitru, Octavian; Schwarz, Gottfried; Datcu, Mihai

    2017-10-01

    For maritime remote sensing, coastline detection is a vital task. With continuous coastline detection results from satellite image time series, the actual shoreline, the sea level, and environmental parameters can be observed to support coastal management and disaster warning. Established coastline detection methods are often based on SAR images and wellknown image processing approaches. These methods involve a lot of complicated data processing, which is a big challenge for remote sensing time series. Additionally, a number of SAR satellites operating with polarimetric capabilities have been launched in recent years, and many investigations of target characteristics in radar polarization have been performed. In this paper, a fast and efficient coastline detection method is proposed which comprises three steps. First, we calculate a modified correlation coefficient of two SAR images of different polarization. This coefficient differs from the traditional computation where normalization is needed. Through this modified approach, the separation between sea and land becomes more prominent. Second, we set a histogram-based threshold to distinguish between sea and land within the given image. The histogram is derived from the statistical distribution of the polarized SAR image pixel amplitudes. Third, we extract continuous coastlines using a Canny image edge detector that is rather immune to speckle noise. Finally, the individual coastlines derived from time series of .SAR images can be checked for changes.

  19. Potentials of Information and Organisational Process Improvement Through Trained Office Staff

    Directory of Open Access Journals (Sweden)

    Chromjaková Felicita

    2012-03-01

    Full Text Available This paper describes the main possibilities on how to improve the production rate, total ef- ficiency and profit-cost ratio in the administrative processes of public administrative offices. The results that are realized from this research serves as an important output for public administration offices in Slovakia. Process improvements can be achieved through the efficient utilization of own-staff potentials, especially by the optimal use of training modules. Well trained own-staff can radically improve the efficiency of office works, jobs and processes and can influence the satisfaction of internal and external stakeholders.

  20. A process for selection and training of super-users for ERP implementation projects

    DEFF Research Database (Denmark)

    Danielsen, Peter; Sandfeld Hansen, Kenneth; Helt, Mads

    2017-01-01

    The concept of super-users as a means to facilitate ERP implementation projects has recently taken a foothold in practice, but is still largely overlooked in research. In particular, little is known about the selection and training processes required to successfully develop skilled super......-users in practice. To address this research gap, we analyze the case of an ERP implementation program at a large manufacturing company. We combine Katz’s widely accepted skill measurement model with the process observed in practice to describe and test a model of super-user selection and training. The resulting...... model contains a systematic process of super-user development and highlights the specific skillsets required in different phases of the selection and training process. Our results from a comparative assessment of management expectations and super-user skills in the ERP program show that the model can...

  1. The Vector Idea and its spheres: a training proposal for curriculum greening processes from the complexity

    Directory of Open Access Journals (Sweden)

    Genina CALAFELL

    2017-06-01

    Full Text Available The study is in the framework of Education for Sustainability and, specifically, in the curriculum greening processes. In the first place, a conceptualization about curriculum greening is briefly presented following the ACES model. In the second instance, the research is exposed. It is concretized in the analysis of the degree of curriculum greening in a training program aimed at education professionals. This training programme has been elaborated from the perspective of complexity and based on the proposal of Vector Idea and its spheres (conceptual, methodological, creative, and investigative. The research carried out has an interpretative approach and the participants were teachers who followed the training programme. The results allow obtain guidelines for the development of a training process in curriculum greening, coherent with the ACES model, and with real impact on the participants. These orientations are based on the following ideas: credibility, cosmovision, conceptualization and action. 

  2. Systems-centered training groups' process and outcome: a comparison with AGPA institute groups.

    Science.gov (United States)

    O'Neill, Richard M; Constantino, Michael J

    2008-01-01

    In this quasi-experimental study we compared the process and outcome of six experiential Systems-Centered Training (SCT) groups to those of American Group Psychotherapy Association (AGPA) Institute groups from two prior studies (MacKenzie, Dies, Coche, Rutan, & Stone, 1987; Tschuschke & Greene, 2002). The SCT training compared well overall and the results provided preliminary, indirect support for the usefulness of "functional subgrouping" - SCT's conceptual and methodological bridge between the group-as-a-whole and the individual member. However, quasi-experimental design limitations make other interpretations equally plausible. Within-group change in the process variables for the SCT groups was also explored, as well as the relative contributions of these variables to post-training learning outcomes and anxious and depressive experience. The results partly corroborated prior studies, but also suggested that SCT may alter training group dynamics, learning, and emotional experience in ways consistent with SCT theory.

  3. Multisensory integration during short-term music reading training enhances both uni- and multisensory cortical processing.

    Science.gov (United States)

    Paraskevopoulos, Evangelos; Kuchenbuch, Anja; Herholz, Sibylle C; Pantev, Christo

    2014-10-01

    The human ability to integrate the input of several sensory systems is essential for building a meaningful interpretation out of the complexity of the environment. Training studies have shown that the involvement of multiple senses during training enhances neuroplasticity, but it is not clear to what extent integration of the senses during training is required for the observed effects. This study intended to elucidate the differential contributions of uni- and multisensory elements of music reading training in the resulting plasticity of abstract audiovisual incongruency identification. We used magnetoencephalography to measure the pre- and posttraining cortical responses of two randomly assigned groups of participants that followed either an audiovisual music reading training that required multisensory integration (AV-Int group) or a unisensory training that had separate auditory and visual elements (AV-Sep group). Results revealed a network of frontal generators for the abstract audiovisual incongruency response, confirming previous findings, and indicated the central role of anterior prefrontal cortex in this process. Differential neuroplastic effects of the two types of training in frontal and temporal regions point to the crucial role of multisensory integration occurring during training. Moreover, a comparison of the posttraining cortical responses of both groups to a group of musicians that were tested using the same paradigm revealed that long-term music training leads to significantly greater responses than the short-term training of the AV-Int group in anterior prefrontal regions as well as to significantly greater responses than both short-term training protocols in the left superior temporal gyrus (STG).

  4. The Role of the Junior College in Computer Systems Training for Business Data Processing.

    Science.gov (United States)

    Donadio, Blase

    To assess the junior college role in electronic data processing (EDP) programs, under current training conditions in computer-related jobs, this study examined (1) job classifications in business data processing, the importance of math, accounting, and statistics to the job, the educational level of EDP employees, and the ideal programmer; (2) EDP…

  5. A reproducing kernel Hilbert space framework for spike train signal processing.

    Science.gov (United States)

    Paiva, António R C; Park, Il; Príncipe, José C

    2009-02-01

    This letter presents a general framework based on reproducing kernel Hilbert spaces (RKHS) to mathematically describe and manipulate spike trains. The main idea is the definition of inner products to allow spike train signal processing from basic principles while incorporating their statistical description as point processes. Moreover, because many inner products can be formulated, a particular definition can be crafted to best fit an application. These ideas are illustrated by the definition of a number of spike train inner products. To further elicit the advantages of the RKHS framework, a family of these inner products, the cross-intensity (CI) kernels, is analyzed in detail. This inner product family encapsulates the statistical description from the conditional intensity functions of spike trains. The problem of their estimation is also addressed. The simplest of the spike train kernels in this family provide an interesting perspective to others' work, as will be demonstrated in terms of spike train distance measures. Finally, as an application example, the RKHS framework is used to derive a clustering algorithm for spike trains from simple principles.

  6. Speech comprehension training and auditory and cognitive processing in older adults.

    Science.gov (United States)

    Pichora-Fuller, M Kathleen; Levitt, Harry

    2012-12-01

    To provide a brief history of speech comprehension training systems and an overview of research on auditory and cognitive aging as background to recommendations for future directions for rehabilitation. Two distinct domains were reviewed: one concerning technological and the other concerning psychological aspects of training. Historical trends and advances in these 2 domains were interrelated to highlight converging trends and directions for future practice. Over the last century, technological advances have influenced both the design of hearing aids and training systems. Initially, training focused on children and those with severe loss for whom amplification was insufficient. Now the focus has shifted to older adults with relatively little loss but difficulties listening in noise. Evidence of brain plasticity from auditory and cognitive neuroscience provides new insights into how to facilitate perceptual (re-)learning by older adults. There is a new imperative to complement training to increase bottom-up processing of the signal with more ecologically valid training to boost top-down information processing based on knowledge of language and the world. Advances in digital technologies enable the development of increasingly sophisticated training systems incorporating complex meaningful materials such as music, audiovisual interactive displays, and conversation.

  7. Neural correlates of accelerated auditory processing in children engaged in music training.

    Science.gov (United States)

    Habibi, Assal; Cahn, B Rael; Damasio, Antonio; Damasio, Hanna

    2016-10-01

    Several studies comparing adult musicians and non-musicians have shown that music training is associated with brain differences. It is unknown, however, whether these differences result from lengthy musical training, from pre-existing biological traits, or from social factors favoring musicality. As part of an ongoing 5-year longitudinal study, we investigated the effects of a music training program on the auditory development of children, over the course of two years, beginning at age 6-7. The training was group-based and inspired by El-Sistema. We compared the children in the music group with two comparison groups of children of the same socio-economic background, one involved in sports training, another not involved in any systematic training. Prior to participating, children who began training in music did not differ from those in the comparison groups in any of the assessed measures. After two years, we now observe that children in the music group, but not in the two comparison groups, show an enhanced ability to detect changes in tonal environment and an accelerated maturity of auditory processing as measured by cortical auditory evoked potentials to musical notes. Our results suggest that music training may result in stimulus specific brain changes in school aged children. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  8. An Analysis of Trainers' Perspectives within an Ecological Framework: Factors that Influence Mine Safety Training Processes.

    Science.gov (United States)

    Haas, Emily J; Hoebbel, Cassandra L; Rost, Kristen A

    2014-09-01

    Satisfactory completion of mine safety training is a prerequisite for being hired and for continued employment in the coal industry. Although training includes content to develop skills in a variety of mineworker competencies, research and recommendations continue to specify that specific limitations in the self-escape portion of training still exist and that mineworkers need to be better prepared to respond to emergencies that could occur in their mine. Ecological models are often used to inform the development of health promotion programs but have not been widely applied to occupational health and safety training programs. Nine mine safety trainers participated in in-depth semi-structured interviews. A theoretical analysis of the interviews was completed via an ecological lens. Each level of the social ecological model was used to examine factors that could be addressed both during and after mine safety training. The analysis suggests that problems surrounding communication and collaboration, leadership development, and responsibility and accountability at different levels within the mining industry contribute to deficiencies in mineworkers' mastery and maintenance of skills. This study offers a new technique to identify limitations in safety training systems and processes. The analysis suggests that training should be developed and disseminated with consideration of various levels-individual, interpersonal, organizational, and community-to promote skills. If factors identified within and between levels are addressed, it may be easier to sustain mineworker competencies that are established during safety training.

  9. Neural correlates of accelerated auditory processing in children engaged in music training

    Directory of Open Access Journals (Sweden)

    Assal Habibi

    2016-10-01

    Full Text Available Several studies comparing adult musicians and non-musicians have shown that music training is associated with brain differences. It is unknown, however, whether these differences result from lengthy musical training, from pre-existing biological traits, or from social factors favoring musicality. As part of an ongoing 5-year longitudinal study, we investigated the effects of a music training program on the auditory development of children, over the course of two years, beginning at age 6–7. The training was group-based and inspired by El-Sistema. We compared the children in the music group with two comparison groups of children of the same socio-economic background, one involved in sports training, another not involved in any systematic training. Prior to participating, children who began training in music did not differ from those in the comparison groups in any of the assessed measures. After two years, we now observe that children in the music group, but not in the two comparison groups, show an enhanced ability to detect changes in tonal environment and an accelerated maturity of auditory processing as measured by cortical auditory evoked potentials to musical notes. Our results suggest that music training may result in stimulus specific brain changes in school aged children.

  10. Students' inclusion to the value of physical culture during the process of athletic training.

    Directory of Open Access Journals (Sweden)

    Sychov S.O.

    2010-12-01

    Full Text Available Means and methods of students' inclusion to the value of physical culture, during the process of athletic training on the classes of physical education are opened in this article. 52 students took part in research. It is developed the recommendation for the application of pedagogical conditions of use in the expressway strength and strength training, ability to determine dosing load for students with different level of physical background, methods of power properties development both for boys and for girls. It is shown that using of athletic training at the classes of physical education is contributing of students' inclusion to the value of physical culture.

  11. Process of training and insertion in the labor market: a vision of nursing graduates

    Directory of Open Access Journals (Sweden)

    Bruna Pedroso CANEVER

    Full Text Available Study to analyze nursing graduates' perception about the contribution of the training process in its insertion in the labour market. Descriptive exploratory study, a qualitative approach. The data was collected in 2011 through semistructured interviews. Attended by 15 professionals, graduated from the Nursing Course at a South Brazilian university in 2009- 2010, inserted in the labour market. Data was analysed according to Minayo's proposals. From this analysis emerged the category Training route, including the subcategory: following the travel itineray. The results demonstrate the need for curricular integration, better use of clinical practices experiences, research valorization, and the importance of training based on dialogue between students and professors.

  12. Students' inclusion to the value of physical culture during the process of athletic training.

    Directory of Open Access Journals (Sweden)

    Sychov S.O.

    2011-01-01

    Full Text Available Means and methods of students' inclusion to the value of physical culture, during the process of athletic training on the classes of physical education are opened in this article 52 students took part in research. It is developed the recommendation for the application of pedagogical conditions of use in the expressway strength and strength training, ability to determine dosing load for students with different level of physical background, methods of power properties development both for boys and for girls. It is shown that using of athletic training at the classes of physical education is contributing of students' inclusion to the value of physical culture.

  13. Effect of Speed of Processing Training on Older Driver Screening Measures

    Directory of Open Access Journals (Sweden)

    Ranmalee Eramudugolla

    2017-10-01

    Full Text Available Objective: Computerized training for cognitive enhancement is of great public interest, however, there is inconsistent evidence for the transfer of training gains to every day activity. Several large trials have focused on speed of processing (SOP training with some promising findings for long-term effects on daily activity, but no immediate transfer to other cognitive tests. Here, we examine the transfer of SOP training gains to cognitive measures that are known predictors of driving safety in older adults.Methods: Fifty-three adults aged 65–87 years who were current drivers participated in a two group non-randomized design with repeated measures and a no-contact matched control group. The Intervention group completed an average of 7.9 (SD = 3.0 hours of self-administered online SOP training at home. Control group was matched on age, gender and test-re-test interval. Measures included the Useful Field of View (UFOV test, a Hazard Perception test, choice reaction time (Cars RT, Trail Making Test B, a Maze test, visual motion threshold, as well as road craft and road knowledge tests.Results: Speed of processing training resulted in significant improvement in processing speed on the UFOV test relative to controls, with an average change of -45.8 ms (SE = 14.5, and effect size of ω2 = 0.21. Performance on the Maze test also improved, but significant slowing on the Hazard Perception test was observed after SOP training. Training effects on the UFOV task was associated with similar effects on the Cars RT, but not the Hazard Perception and Maze tests, suggesting transfer to some but not all driving related measures. There were no effects of training on any of the other measures examined.Conclusion: Speed of processing training effects on the UFOV task can be achieved with self-administered, online training at home, with some transfer to other cognitive tests. However, differential effects of training may be observed for tasks requiring goal

  14. About one approach to automation and information of the process of drawing up of training programs

    Directory of Open Access Journals (Sweden)

    Владимир Петрович Офицеров

    2012-12-01

    Full Text Available In article the problem of formation of the program of preparation of subjects trained on the basis of selection and definition of their labor input for the purpose of maximization competences in the chosen direction of training is formalized. The method of the automated decision of the received problem with use of information of process of reception of expert estimations is developed. The received result can be used in the distributed information system of HIGH SCHOOL for the automated drawing up of effective programs of training.

  15. Effect of Speed of Processing Training on Older Driver Screening Measures.

    Science.gov (United States)

    Eramudugolla, Ranmalee; Kiely, Kim M; Chopra, Sidhant; Anstey, Kaarin J

    2017-01-01

    Objective: Computerized training for cognitive enhancement is of great public interest, however, there is inconsistent evidence for the transfer of training gains to every day activity. Several large trials have focused on speed of processing (SOP) training with some promising findings for long-term effects on daily activity, but no immediate transfer to other cognitive tests. Here, we examine the transfer of SOP training gains to cognitive measures that are known predictors of driving safety in older adults. Methods: Fifty-three adults aged 65-87 years who were current drivers participated in a two group non-randomized design with repeated measures and a no-contact matched control group. The Intervention group completed an average of 7.9 (SD = 3.0) hours of self-administered online SOP training at home. Control group was matched on age, gender and test-re-test interval. Measures included the Useful Field of View (UFOV) test, a Hazard Perception test, choice reaction time (Cars RT), Trail Making Test B, a Maze test, visual motion threshold, as well as road craft and road knowledge tests. Results: Speed of processing training resulted in significant improvement in processing speed on the UFOV test relative to controls, with an average change of -45.8 ms (SE = 14.5), and effect size of ω2 = 0.21. Performance on the Maze test also improved, but significant slowing on the Hazard Perception test was observed after SOP training. Training effects on the UFOV task was associated with similar effects on the Cars RT, but not the Hazard Perception and Maze tests, suggesting transfer to some but not all driving related measures. There were no effects of training on any of the other measures examined. Conclusion: Speed of processing training effects on the UFOV task can be achieved with self-administered, online training at home, with some transfer to other cognitive tests. However, differential effects of training may be observed for tasks requiring goal-directed search

  16. UAVSAR and TerraSAR-X Based InSAR Detection of Localized Subsidence in the New Orleans Area

    Science.gov (United States)

    Blom, R. G.; An, K.; Jones, C. E.; Latini, D.

    2014-12-01

    pumping to post recent construction ground compaction. Our overall goal is to enable incorporation of InSAR into the decision making process via identification and delineation of areas of persistent subsidence, and provide input to improve monitoring and planning in flood risk areas.

  17. The peculiarities of acrobat exercises usage in the handballers training process

    Directory of Open Access Journals (Sweden)

    Serdyuk Dmitrii Georgievich

    2009-02-01

    Full Text Available Special complexes of acrobatic exercises for training handballers are developed. The level of efficiency of effect of exercises on development of coordination abilities is determined. During application of exercises of the given type it is necessary to take into account a period and a cycle of preparation, personalities of handballers, a general orientation of training process. It allows avoidance of negative effect of acrobatic exercises on special exercises of competitive character.

  18. InSAR Scientific Computing Environment - The Home Stretch

    Science.gov (United States)

    Rosen, P. A.; Gurrola, E. M.; Sacco, G.; Zebker, H. A.

    2011-12-01

    The Interferometric Synthetic Aperture Radar (InSAR) Scientific Computing Environment (ISCE) is a software development effort in its third and final year within the NASA Advanced Information Systems and Technology program. The ISCE is a new computing environment for geodetic image processing for InSAR sensors enabling scientists to reduce measurements directly from radar satellites to new geophysical products with relative ease. The environment can serve as the core of a centralized processing center to bring Level-0 raw radar data up to Level-3 data products, but is adaptable to alternative processing approaches for science users interested in new and different ways to exploit mission data. Upcoming international SAR missions will deliver data of unprecedented quantity and quality, making possible global-scale studies in climate research, natural hazards, and Earth's ecosystem. The InSAR Scientific Computing Environment has the functionality to become a key element in processing data from NASA's proposed DESDynI mission into higher level data products, supporting a new class of analyses that take advantage of the long time and large spatial scales of these new data. At the core of ISCE is a new set of efficient and accurate InSAR algorithms. These algorithms are placed into an object-oriented, flexible, extensible software package that is informed by modern programming methods, including rigorous componentization of processing codes, abstraction and generalization of data models. The environment is designed to easily allow user contributions, enabling an open source community to extend the framework into the indefinite future. ISCE supports data from nearly all of the available satellite platforms, including ERS, EnviSAT, Radarsat-1, Radarsat-2, ALOS, TerraSAR-X, and Cosmo-SkyMed. The code applies a number of parallelization techniques and sensible approximations for speed. It is configured to work on modern linux-based computers with gcc compilers and python

  19. SAR Image Enhancement using Particle Filters

    Data.gov (United States)

    National Aeronautics and Space Administration — In this paper, we propose a novel approach to reduce the noise in Synthetic Aperture Radar (SAR) images using particle filters. Interpretation of SAR images is a...

  20. Polarimetric and Interferometric SAR Calibration Verification Methods

    Science.gov (United States)

    Kim, Y.; Zyl, J van

    2001-01-01

    It is necessary to calibrate SAR data in order to use the data for science applications. When both polarimetric and interferometric data are collected simultaneously, these SAR data can be used for cross-calibration and verification.

  1. Novel Polarimetric SAR Interferometry Algorithms Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Polarimetric radar interferometry (PolInSAR) is a new SAR imaging mode that is rapidly becoming an important technique for bare earth topographic mapping, tree...

  2. SAR Tomography Based on Block Compressive Sensing

    National Research Council Canada - National Science Library

    Wang Aichun; Xiang Maosheng

    2016-01-01

    While the use of SAR Tomography (TomoSAR) based on Compressive Sensing (CS) makes it possible to reconstruct the height profile of an observed scene, the performance of the reconstruction decreases for a structural observed scene...

  3. The Training of Morphological Decomposition in Word Processing and Its Effects on Literacy Skills

    Directory of Open Access Journals (Sweden)

    Irit Bar-Kochva

    2017-10-01

    Full Text Available This study set out to examine the effects of a morpheme-based training on reading and spelling in fifth and sixth graders (N = 47, who present poor literacy skills and speak German as a second language. A computerized training, consisting of a visual lexical decision task (comprising 2,880 items, presented in 12 sessions, was designed to encourage fast morphological analysis in word processing. The children were divided between two groups: the one underwent a morpheme-based training, in which word-stems of inflections and derivations were presented for a limited duration, while their pre- and suffixes remained on screen until response. Another group received a control training consisting of the same task, except that the duration of presentation of a non-morphological unit was restricted. In a Word Disruption Task, participants read words under three conditions: morphological separation (with symbols separating between the words’ morphemes, non-morphological separation (with symbols separating between non-morphological units of words, and no-separation (with symbols presented at the beginning and end of each word. The group receiving the morpheme-based program improved more than the control group in terms of word reading fluency in the morphological condition. The former group also presented similar word reading fluency after training in the morphological condition and in the no-separation condition, thereby suggesting that the morpheme-based training contributed to the integration of morphological decomposition into the process of word recognition. At the same time, both groups similarly improved in other measures of word reading fluency. With regard to spelling, the morpheme-based training group showed a larger improvement than the control group in spelling of trained items, and a unique improvement in spelling of untrained items (untrained word-stems integrated into trained pre- and suffixes. The results further suggest some contribution of

  4. The Training of Morphological Decomposition in Word Processing and Its Effects on Literacy Skills.

    Science.gov (United States)

    Bar-Kochva, Irit; Hasselhorn, Marcus

    2017-01-01

    This study set out to examine the effects of a morpheme-based training on reading and spelling in fifth and sixth graders (N = 47), who present poor literacy skills and speak German as a second language. A computerized training, consisting of a visual lexical decision task (comprising 2,880 items, presented in 12 sessions), was designed to encourage fast morphological analysis in word processing. The children were divided between two groups: the one underwent a morpheme-based training, in which word-stems of inflections and derivations were presented for a limited duration, while their pre- and suffixes remained on screen until response. Another group received a control training consisting of the same task, except that the duration of presentation of a non-morphological unit was restricted. In a Word Disruption Task, participants read words under three conditions: morphological separation (with symbols separating between the words' morphemes), non-morphological separation (with symbols separating between non-morphological units of words), and no-separation (with symbols presented at the beginning and end of each word). The group receiving the morpheme-based program improved more than the control group in terms of word reading fluency in the morphological condition. The former group also presented similar word reading fluency after training in the morphological condition and in the no-separation condition, thereby suggesting that the morpheme-based training contributed to the integration of morphological decomposition into the process of word recognition. At the same time, both groups similarly improved in other measures of word reading fluency. With regard to spelling, the morpheme-based training group showed a larger improvement than the control group in spelling of trained items, and a unique improvement in spelling of untrained items (untrained word-stems integrated into trained pre- and suffixes). The results further suggest some contribution of the morpheme

  5. Methods of InSAR atmosphere correction for volcano activity monitoring

    Science.gov (United States)

    Gong, W.; Meyer, F.; Webley, P.W.; Lu, Z.

    2011-01-01

    When a Synthetic Aperture Radar (SAR) signal propagates through the atmosphere on its path to and from the sensor, it is inevitably affected by atmospheric effects. In particular, the applicability and accuracy of Interferometric SAR (InSAR) techniques for volcano monitoring is limited by atmospheric path delays. Therefore, atmospheric correction of interferograms is required to improve the performance of InSAR for detecting volcanic activity, especially in order to advance its ability to detect subtle pre-eruptive changes in deformation dynamics. In this paper, we focus on InSAR tropospheric mitigation methods and their performance in volcano deformation monitoring. Our study areas include Okmok volcano and Unimak Island located in the eastern Aleutians, AK. We explore two methods to mitigate atmospheric artifacts, namely the numerical weather model simulation and the atmospheric filtering using Persistent Scatterer processing. We investigate the capability of the proposed methods, and investigate their limitations and advantages when applied to determine volcanic processes. ?? 2011 IEEE.

  6. Transfer after process-based object-location memory training in healthy older adults.

    Science.gov (United States)

    Zimmermann, Kathrin; von Bastian, Claudia C; Röcke, Christina; Martin, Mike; Eschen, Anne

    2016-11-01

    A substantial part of age-related episodic memory decline has been attributed to the decreasing ability of older adults to encode and retrieve associations among simultaneously processed information units from long-term memory. In addition, this ability seems to share unique variance with reasoning. In this study, we therefore examined whether process-based training of the ability to learn and remember associations has the potential to induce transfer effects to untrained episodic memory and reasoning tasks in healthy older adults (60-75 years). For this purpose, the experimental group (n = 36) completed 30 sessions of process-based object-location memory training, while the active control group (n = 31) practiced visual perception on the same material. Near (spatial episodic memory), intermediate (verbal episodic memory), and far transfer effects (reasoning) were each assessed with multiple tasks at four measurements (before, midway through, immediately after, and 4 months after training). Linear mixed-effects models revealed transfer effects on spatial episodic memory and reasoning that were still observed 4 months after training. These results provide first empirical evidence that process-based training can enhance healthy older adults' associative memory performance and positively affect untrained episodic memory and reasoning abilities. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  7. SARS among Critical Care Nurses, Toronto

    OpenAIRE

    Loeb, Mark; McGeer, Allison; Henry, Bonnie; Ofner, Marianna; Rose, David; Hlywka, Tammy; Levie, Joanne; McQueen, Jane; Smith, Stephanie; Moss, Lorraine; Smith, Andrew; Green, Karen; Walter, Stephen D.

    2004-01-01

    To determine factors that predispose or protect healthcare workers from severe acute respiratory syndrome (SARS), we conducted a retrospective cohort study among 43 nurses who worked in two Toronto critical care units with SARS patients. Eight of 32 nurses who entered a SARS patient’s room were infected. The probability of SARS infection was 6% per shift worked. Assisting during intubation, suctioning before intubation, and manipulating the oxygen mask were high-risk activities. Consistently ...

  8. FlexSAR, a high quality, flexible, cost effective, prototype SAR system

    Science.gov (United States)

    Jensen, Mark; Knight, Chad; Haslem, Brent

    2016-05-01

    The FlexSAR radar system was designed to be a high quality, low-cost, flexible research prototype instrument. Radar researchers and practitioners often desire the ability to prototype new or advanced configurations, yet the ability to enhance or upgrade existing radar systems can be cost prohibitive. FlexSAR answers the need for a flexible radar system that can be extended easily, with minimal cost and time expenditures. The design approach focuses on reducing the resources required for developing and validating new advanced radar modalities. Such an approach fosters innovation and provides risk reduction since actual radar data can be collected in the appropriate mode, processed, and analyzed early in the development process. This allows for an accurate, detailed understanding of the corresponding trade space. This paper is a follow-on to last years paper and discusses the advancements that have been made to the FlexSAR system. The overall system architecture is discussed and presented along with several examples illustrating the system utility.

  9. Atmospheric Effects on InSAR Measurements and Their Mitigation

    Directory of Open Access Journals (Sweden)

    Jiang-ping Long

    2008-09-01

    Full Text Available Interferometric Synthetic Aperture Radar (InSAR is a powerful technology for observing the Earth surface, especially for mapping the Earth's topography and deformations. InSAR measurements are however often significantly affected by the atmosphere as the radar signals propagate through the atmosphere whose state varies both in space and in time. Great efforts have been made in recent years to better understand the properties of the atmospheric effects and to develop methods for mitigating the effects. This paper provides a systematic review of the work carried out in this area. The basic principles of atmospheric effects on repeat-pass InSAR are first introduced. The studies on the properties of the atmospheric effects, including the magnitudes of the effects determined in the various parts of the world, the spectra of the atmospheric effects, the isotropic properties and the statistical distributions of the effects, are then discussed. The various methods developed for mitigating the atmospheric effects are then reviewed, including the methods that are based on PSInSAR processing, the methods that are based on interferogram modeling, and those that are based on external data such as GPS observations, ground meteorological data, and satellite data including those from the MODIS and MERIS. Two examples that use MODIS and MERIS data respectively to calibrate atmospheric effects on InSAR are also given.

  10. Atmospheric Effects on InSAR Measurements and Their Mitigation.

    Science.gov (United States)

    Ding, Xiao-Li; Li, Zhi-Wei; Zhu, Jian-Jun; Feng, Guang-Cai; Long, Jiang-Ping

    2008-09-03

    Interferometric Synthetic Aperture Radar (InSAR) is a powerful technology for observing the Earth surface, especially for mapping the Earth's topography and deformations. InSAR measurements are however often significantly affected by the atmosphere as the radar signals propagate through the atmosphere whose state varies both in space and in time. Great efforts have been made in recent years to better understand the properties of the atmospheric effects and to develop methods for mitigating the effects. This paper provides a systematic review of the work carried out in this area. The basic principles of atmospheric effects on repeat-pass InSAR are first introduced. The studies on the properties of the atmospheric effects, including the magnitudes of the effects determined in the various parts of the world, the spectra of the atmospheric effects, the isotropic properties and the statistical distributions of the effects, are then discussed. The various methods developed for mitigating the atmospheric effects are then reviewed, including the methods that are based on PSInSAR processing, the methods that are based on interferogram modeling, and those that are based on external data such as GPS observations, ground meteorological data, and satellite data including those from the MODIS and MERIS. Two examples that use MODIS and MERIS data respectively to calibrate atmospheric effects on InSAR are also given.

  11. A Localization Method for Multistatic SAR Based on Convex Optimization.

    Science.gov (United States)

    Zhong, Xuqi; Wu, Junjie; Yang, Jianyu; Sun, Zhichao; Huang, Yuling; Li, Zhongyu

    2015-01-01

    In traditional localization methods for Synthetic Aperture Radar (SAR), the bistatic range sum (BRS) estimation and Doppler centroid estimation (DCE) are needed for the calculation of target localization. However, the DCE error greatly influences the localization accuracy. In this paper, a localization method for multistatic SAR based on convex optimization without DCE is investigated and the influence of BRS estimation error on localization accuracy is analysed. Firstly, by using the information of each transmitter and receiver (T/R) pair and the target in SAR image, the model functions of T/R pairs are constructed. Each model function's maximum is on the circumference of the ellipse which is the iso-range for its model function's T/R pair. Secondly, the target function whose maximum is located at the position of the target is obtained by adding all model functions. Thirdly, the target function is optimized based on gradient descent method to obtain the position of the target. During the iteration process, principal component analysis is implemented to guarantee the accuracy of the method and improve the computational efficiency. The proposed method only utilizes BRSs of a target in several focused images from multistatic SAR. Therefore, compared with traditional localization methods for SAR, the proposed method greatly improves the localization accuracy. The effectivity of the localization approach is validated by simulation experiment.

  12. COMPLEX SIMULATION MODEL OF TRAIN BREAKING-UP PROCESS AT THE HUMPS

    Directory of Open Access Journals (Sweden)

    E. B. Demchenko

    2015-11-01

    Full Text Available Purpose. One of the priorities of station sorting complex functioning improvement is the breaking-up process energy consumptions reduction, namely: fuel consumption for train pushing and electric energy consumption for cut braking. In this regard, an effective solution of the problem of energy consumption reduction at breaking-up subsystem requires a comprehensive handling of train pushing and cut rolling down processes. At the same time, the analysis showed that the current task of pushing process improvement and cut rolling down effectiveness increase are solved separately. To solve this problem it is necessary to develop the complex simulation model of train breaking up process at humps. Methodology. Pushing process simulation was done based on adapted under the shunting conditions traction calculations. In addition, the features of shunting locomotives work at the humps were taken into account. In order to realize the current pushing mode the special algorithm of hump locomotive controlling, which along with the safety shunting operation requirements takes into account behavioral factors associated with engineer control actions was applied. This algorithm provides train smooth acceleration and further movement with speed, which is close to the set speed. Hump locomotive fuel consumptions were determined based on the amount of mechanical work performed by locomotive traction. Findings. The simulation model of train pushing process was developed and combined with existing cut rolling down model. Cut initial velocity is determined during simulation process. The obtained initial velocity is used for further cut rolling process modeling. In addition, the modeling resulted in sufficiently accurate determination of the fuel rates consumed for train breaking-up. Originality. The simulation model of train breaking-up process at the humps, which in contrast to the existing models allows reproducing complexly all the elements of this process in detail

  13. Reevaluating the selection process for the Israeli Defense Force's paramedic training program.

    Science.gov (United States)

    Lending, Gadi; Nadler, Roy; Abramovich, Amir; Gendler, Sami; Peretz, Asaf; Dagan, David; Gilad, David; Glassberg, Elon

    2015-03-01

    Selecting candidates for medical training programs is a complicated process aimed at identifying specific personal competencies, in an attempt to minimize attrition and produce better medical providers. The objective of this study was to evaluate the accuracy of the selection process for the Israeli Defense Force's paramedic training program and its ability to predict success measured at different end points. Selection process test scores were crossed and measured against three different end points: attrition, national certification test scores, and training program graduation scores. Data were available for 146 candidates. A positive association was detected between lower formulated selection scores and attrition rates (pselection score, two had shown significant association with attrition. The calculated score of these specific two tests was found to have similar association with attrition as the formulated selection score. The current Israeli Defense Force's paramedic-formulated selection score has shown association with attrition; candidates performing poorly throughout the selection process were less likely to complete training. Similar results may be achieved by implementing a more efficient selection process based on fewer tests. Further studies are required to identify the optimal composition for selection processes. Ongoing learning and research form the ground for improvement, not only of trauma medicine but of all aspects of medicine. Reprint & Copyright © 2015 Association of Military Surgeons of the U.S.

  14. Monitoring of Land-Surface Deformation in the Karamay Oilfield, Xinjiang, China, Using SAR Interferometry

    Directory of Open Access Journals (Sweden)

    Yusupujiang Aimaiti

    2017-07-01

    Full Text Available Synthetic Aperture Radar (SAR interferometry is a technique that provides high-resolution measurements of the ground displacement associated with various geophysical processes. To investigate the land-surface deformation in Karamay, a typical oil-producing city in the Xinjiang Uyghur Autonomous Region, China, Advanced Land Observing Satellite (ALOS Phased Array L-band Synthetic Aperture Radar (PALSAR data were acquired for the period from 2007 to 2009, and a two-pass differential SAR interferometry (D-InSAR process was applied. The experimental results showed that two sites in the north-eastern part of the city exhibit a clear indication of land deformation. For a further evaluation of the D-InSAR result, the Persistent Scatterer (PS and Small Baseline Subset (SBAS-InSAR techniques were applied for 21 time series Environmental Satellite (ENVISAT C-band Advanced Synthetic Aperture Radar (ASAR data from 2003 to 2010. The comparison between the D-InSAR and SBAS-InSAR measurements had better agreement than that from the PS-InSAR measurement. The maximum deformation rate attributed to subsurface water injection for the period from 2003 to 2010 was up to approximately 33 mm/year in the line of sight (LOS direction. The interferometric phase change from November 2007 to June 2010 showed a clear deformation pattern, and the rebound center has been expanding in scale and increasing in quantity.

  15. The aetiology of SARS: Koch's postulates fulfilled

    NARCIS (Netherlands)

    A.D.M.E. Osterhaus (Albert); R.A.M. Fouchier (Ron); T. Kuiken (Thijs)

    2004-01-01

    textabstractProof that a newly identified coronavirus, severe acute respiratory syndrome coronavirus (SARS-CoV) is the primary cause of severe acute respiratory syndrome (SARS) came from a series of studies on experimentally infected cynomolgus macaques (Macaca, fascicularis). SARS-CoV-infected

  16. ORGANIZATIONAL-METHODICAL PECULIARITIES OF THE BUILDING OF THE TRAINING PROCESS IN ROWING

    Directory of Open Access Journals (Sweden)

    Vera Veniaminovna Orlova

    2017-05-01

    Full Text Available Rowing is widely spread all over the world. The attraction of the sport is a versatile recreational nature, conducive to raising the level of functionality of the organism. Rowing sport occupies an important place in the overall organizational structure of the sports movement in the country. In the program of the Olympic Games rowing sport took third place by number of sets of medals. This sport places special requirements on technology, coordination and emotional abilities of athletes. The aim is to present the characteristics of modern system of training of qualified athletes in rowing. Task-based on theoretical analysis and synthesis of scientific and methodical sources on the build of the annual cycle of training athletes to determine principles of periodization training akademistov process, identify particular emotional States athlete depending on the phase of training, the results of the competitions and the length of the periods between individual competitions and competition cycles. The novelty lies in the definition of the structure of the training phases of rowing in identifying characteristics of emotional States affecting the success of the performances in the competitions and the selection of future directions of training process. Used techniques: theoretical analysis and generalization of information special scientific-methodical literature, methodology, exploring three basic components of functional and emotional condition – health, activity and mood; rapid evaluation of emotional States of an athlete “Thermometer” (J.Iy. Kiselev. Results can be used in the work of the rowing coaches.

  17. FEATURES IN SPORTSMEN MOTION PERCEPTION DEPENDING ON THE DIRECTION TRAINING PROCESS

    Directory of Open Access Journals (Sweden)

    M. B. Gurova

    2013-01-01

    Full Text Available By recording the visual and somatosensory evoked potentials were studied especially the perception of movements of athletes depending on the focus of the training process. Shown that the development of systems of perception of space and movement occurs depending on the nature of the training process. In weightlifting identified the following features: the predominance of somatosensory perception, reference system for coordination is his body, the prevalence of central vision, attention. At the same time to combat sports preponderance of visual perception, reference system for the coordination of movements are external objects, the prevalence of peripheral vision, increased ability to recognize and differentiate incentives.

  18. A whole-process progressive training mode to foster optoelectronic students' innovative practical ability

    Science.gov (United States)

    Zhong, Hairong; Xu, Wei; Hu, Haojun; Duan, Chengfang

    2017-08-01

    This article analyzes the features of fostering optoelectronic students' innovative practical ability based on the knowledge structure of optoelectronic disciplines, which not only reveals the common law of cultivating students' innovative practical ability, but also considers the characteristics of the major: (1) The basic theory is difficult, and the close combination of science and technology is obvious; (2)With the integration of optics, mechanics, electronics and computer, the system technology is comprehensive; (3) It has both leading-edge theory and practical applications, so the benefit of cultivating optoelectronic students is high ; (4) The equipment is precise and the practice is costly. Considering the concept and structural characteristics of innovative and practical ability, and adhering to the idea of running practice through the whole process, we put forward the construction of three-dimensional innovation and practice platform which consists of "Synthetically Teaching Laboratory + Innovation Practice Base + Scientific Research Laboratory + Major Practice Base + Joint Teaching and Training Base", and meanwhile build a whole-process progressive training mode to foster optoelectronic students' innovative practical ability, following the process of "basic experimental skills training - professional experimental skills training - system design - innovative practice - scientific research project training - expanded training - graduation project": (1) To create an in - class practical ability cultivation environment that has distinctive characteristics of the major, with the teaching laboratory as the basic platform; (2) To create an extra-curricular innovation practice activities cultivation environment that is closely linked to the practical application, with the innovation practice base as a platform for improvement; (3) To create an innovation practice training cultivation environment that leads the development of cutting-edge, with the scientific

  19. Entrepreneurial training for girls empowerment in Lesotho: A process evaluation of a model programme.

    Science.gov (United States)

    Berry, Mary O'Neill; Kuriansky, Judy; Lytle, Megan; Vistman, Bozhena; Mosisili, 'Mathato S; Hlothoane, Lieketso; Matlanyane, Mapeo; Mokobori, Thabang; Mosuhli, Silas; Pebane, Jane

    2013-12-01

    A Girls Empowerment Programme held in 2010 in Lesotho, Sub-Saharan Africa, focused on HIV/AIDS risk reduction and prevention, life skills and entrepreneurial training (income-generating activities). Entrepreneurial training was a crucial part of equipping the camp attendees with basic skills to help them develop sustainable livelihoods. Such skills and financial independence are essential to enable rural girls to complete their secondary schooling (in a fee-based educational system) and to pursue a career, as well as to further help them be less susceptible to transactional sex and its significant risks. The results of a brief process evaluation with some nested supporting data showed considerable improvement in the girls' knowledge about income-generating activities. In addition, almost half of the camp attendees participated in further entrepreneurial training and about half of these girls went on to develop small businesses. Replication of this model of camp training is recommended and being explored in other African countries.

  20. TRAINING DURING ISO 9001 IMPLEMENTATION AND WORKERS INVOLVEMENT INTO THE QUALITY MANAGEMENT PROCESS IN MONTENEGRO

    Directory of Open Access Journals (Sweden)

    Marc-Arthur Diaye

    2009-03-01

    Full Text Available According to several researchers, workers involvement into the implementation of a quality system in a firm is a key of its success. Since training can improve workers involvement during the implementation of a quality system in a firm, we try in this paper to evaluate quantitatively in the case of Montenegro, the impact of training of workers' involvement. Using an original data set about two leading firms from Montenegro, we show that the coefficient associated with the training variable is on average about -1.44 and is significant at a level of 1%. That is workers who are not trained during the ISO 9001 implementation are strongly less involved into the quality management process of their firms.

  1. Speech sound processing deficits and training-induced neural plasticity in rats with dyslexia gene knockdown.

    Directory of Open Access Journals (Sweden)

    Tracy M Centanni

    Full Text Available In utero RNAi of the dyslexia-associated gene Kiaa0319 in rats (KIA- degrades cortical responses to speech sounds and increases trial-by-trial variability in onset latency. We tested the hypothesis that KIA- rats would be impaired at speech sound discrimination. KIA- rats needed twice as much training in quiet conditions to perform at control levels and remained impaired at several speech tasks. Focused training using truncated speech sounds was able to normalize speech discrimination in quiet and background noise conditions. Training also normalized trial-by-trial neural variability and temporal phase locking. Cortical activity from speech trained KIA- rats was sufficient to accurately discriminate between similar consonant sounds. These results provide the first direct evidence that assumed reduced expression of the dyslexia-associated gene KIAA0319 can cause phoneme processing impairments similar to those seen in dyslexia and that intensive behavioral therapy can eliminate these impairments.

  2. High resolution PolInSAR with the ground-based SAR (GB-SAR) System: measurement and modelling

    OpenAIRE

    Morrison, K; Williams, M L

    2006-01-01

    Ground-based work is necessary for a comprehensive assessment of the operational potential and limitations of PolInSAR in airborne and satellite SAR applications. A study is made of the performance and usefulness of the UK’s Ground-Based SAR (GB-SAR) Outdoor System in high-resolution PolInSAR studies of vegetation using modeling results. The facility provides fully-polarimetric L- through X-band imagery down to a resolution of several wavelengths. However, the measurem...

  3. SAR Imagery Segmentation by Statistical Region Growing and Hierarchical Merging

    Energy Technology Data Exchange (ETDEWEB)

    Ushizima, Daniela Mayumi; Carvalho, E.A.; Medeiros, F.N.S.; Martins, C.I.O.; Marques, R.C.P.; Oliveira, I.N.S.

    2010-05-22

    This paper presents an approach to accomplish synthetic aperture radar (SAR) image segmentation, which are corrupted by speckle noise. Some ordinary segmentation techniques may require speckle filtering previously. Our approach performs radar image segmentation using the original noisy pixels as input data, eliminating preprocessing steps, an advantage over most of the current methods. The algorithm comprises a statistical region growing procedure combined with hierarchical region merging to extract regions of interest from SAR images. The region growing step over-segments the input image to enable region aggregation by employing a combination of the Kolmogorov-Smirnov (KS) test with a hierarchical stepwise optimization (HSWO) algorithm for the process coordination. We have tested and assessed the proposed technique on artificially speckled image and real SAR data containing different types of targets.

  4. Satellite SAR interferometric techniques applied to emergency mapping

    Science.gov (United States)

    Stefanova Vassileva, Magdalena; Riccardi, Paolo; Lecci, Daniele; Giulio Tonolo, Fabio; Boccardo Boccardo, Piero; Chiesa, Giuliana; Angeluccetti, Irene

    2017-04-01

    This paper aim to investigate the capabilities of the currently available SAR interferometric algorithms in the field of emergency mapping. Several tests have been performed exploiting the Copernicus Sentinel-1 data using the COTS software ENVI/SARscape 5.3. Emergency Mapping can be defined as "creation of maps, geo-information products and spatial analyses dedicated to providing situational awareness emergency management and immediate crisis information for response by means of extraction of reference (pre-event) and crisis (post-event) geographic information/data from satellite or aerial imagery". The conventional differential SAR interferometric technique (DInSAR) and the two currently available multi-temporal SAR interferometric approaches, i.e. Permanent Scatterer Interferometry (PSI) and Small BAseline Subset (SBAS), have been applied to provide crisis information useful for the emergency management activities. Depending on the considered Emergency Management phase, it may be distinguished between rapid mapping, i.e. fast provision of geospatial data regarding the area affected for the immediate emergency response, and monitoring mapping, i.e. detection of phenomena for risk prevention and mitigation activities. In order to evaluate the potential and limitations of the aforementioned SAR interferometric approaches for the specific rapid and monitoring mapping application, five main factors have been taken into account: crisis information extracted, input data required, processing time and expected accuracy. The results highlight that DInSAR has the capacity to delineate areas affected by large and sudden deformations and fulfills most of the immediate response requirements. The main limiting factor of interferometry is the availability of suitable SAR acquisition immediately after the event (e.g. Sentinel-1 mission characterized by 6-day revisiting time may not always satisfy the immediate emergency request). PSI and SBAS techniques are suitable to produce

  5. SweepSAR: Beam-forming on Receive Using a Reflector-Phased Array Feed Combination for Spaceborne SAR

    Science.gov (United States)

    Freeman, A.; Krieger, G.; Rosen, P.; Younis, M.; Johnson, W. T. K.; Huber, S.; Jordan, R.; Moreira, A.

    2012-01-01

    In this paper, an alternative approach is described that is suited for longer wavelength SARs in particular, employing a large, deployable reflector antenna and a much simpler phased array feed. To illuminate a wide swath, a substantial fraction of the phased array feed is excited on transmit to sub-illuminate the reflector. Shorter transmit pulses are required than for conventional SAR. On receive, a much smaller portion of the phased array feed is used to collect the return echo, so that a greater portion of the reflector antenna area is used. The locus of the portion of the phased array used on receive is adjusted using an analog beam steering network, to 'sweep' the receive beam(s) across the illuminated swath, tracking the return echo. This is similar in some respects to the whiskbroom approach to optical sensors, hence the name: SweepSAR.SweepSAR has advantages over conventional SAR in that it requires less transmit power, and if the receive beam is narrow enough, it is relatively immune to range ambiguities. Compared to direct radiating arrays with digital beam- forming, it is much simpler to implement, uses currently available technologies, is better suited for longer wavelength systems, and does not require extremely high data rates or onboard processing.

  6. Treating attention in mild aphasia: evaluation of attention process training-II.

    Science.gov (United States)

    Murray, Laura L; Keeton, R Jessica; Karcher, Laura

    2006-01-01

    This study examined whether attention processing training-II [Sohlberg, M. M., Johnson, L., Paule, L., Raskin, S. A., & Mateer, C. A. (2001). Attention Process Training-II: A program to address attentional deficits for persons with mild cognitive dysfunction (2nd ed.). Wake Forest, NC: Lash & Associates.; APT-II], when applied in the context of a multiple baseline ABA design, would improve the attention abilities of RW, a patient with mild conduction aphasia and concomitant attention and working memory deficits. We also explored whether APT-II training would enhance RW's auditory comprehension, other cognitive abilities such as memory, and his and his spouse's perceptions of his daily attention and communication difficulties. With treatment, RW improved on trained attention tasks and made modest gains on standardized tests and probes that evaluated cognitive skills related to treatment activities. Nominal change in auditory comprehension and untrained attention and memory functions was observed, and neither RW nor his spouse reported noticeable improvements in his daily attention or communication abilities. These and previous findings indicate that structured attention retraining may enhance specific attention skills, but that positive changes in broader attention and untrained functions are less likely. As a result of reading this article, the participant will be able to: (1) summarize the previous literature regarding attention impairments and treatment approaches for patients with aphasia. (2) describe how Attention Processing Training-II affected the attention, auditory comprehension, and other cognitive abilities of the patient in this study.

  7. InSAR data for monitoring land subsidence: time to think big

    Directory of Open Access Journals (Sweden)

    A. Ferretti

    2015-11-01

    Full Text Available Satellite interferometric synthetic aperture radar (InSAR data have proven effective and valuable in the analysis of urban subsidence phenomena based on multi-temporal radar images. Results obtained by processing data acquired by different radar sensors, have shown the potential of InSAR and highlighted the key points for an operational use of this technology, namely: (1 regular acquisition over large areas of interferometric data stacks; (2 use of advanced processing algorithms, capable of estimating and removing atmospheric disturbances; (3 access to significant processing power for a regular update of the information over large areas. In this paper, we show how the operational potential of InSAR has been realized thanks to the recent advances in InSAR processing algorithms, the advent of cloud computing and the launch of new satellite platforms, specifically designed for InSAR analyses (e.g. Sentinel-1a operated by the ESA and ALOS2 operated by JAXA. The processing of thousands of SAR scenes to cover an entire nation has been performed successfully in Italy in a project financed by the Italian Ministry of the Environment. The challenge for the future is to pass from the historical analysis of SAR scenes already acquired in digital archives to a near real-time monitoring program where up to date deformation data are routinely provided to final users and decision makers.

  8. Improving the training process of power sports athletes based on their biorhythms

    Directory of Open Access Journals (Sweden)

    Oleksandr Piven

    2014-10-01

    Full Text Available Purpose: improved methods of planning the training process for strength sports athletes with regard to their biorhythms. Material and Methods: the study included 16 athletes qualified yaks were members of the team of the Kharkiv region in weightlifting and powerlifting. Results: revealed that the experimental group athletes who used to planned training load calculations biorhythms improved power rates by 7,2% in compare with the control group who exercised without calculating biorhythms improved results on the power – 4,6%. It was also shown that athletes are more or less manifest Biorhythmic dependence. Conclusions: it was established that the planning of the training process, taking into account jet lag has a positive effect on the result of more than planning the same load without jet lag.

  9. Subsurface ice structure analysis with longer wavelength sar tomography

    DEFF Research Database (Denmark)

    Banda, Francesco; Dall, Jørgen; Tebaldini, Stefano

    2013-01-01

    of longer wavelength SAR to retrieve information about ice flow and structure. In the present paper first results from processing of tomographic data for subsurface ice structure mapping are presented. The extent of signal penetration has been found to be of about 20-60 m, conditional on the different...

  10. Polarimetric scattering and SAR information retrieval

    CERN Document Server

    Jin, Ya-Qiu

    2013-01-01

    Taking an innovative look at Synthetic Aperture Radar (SAR), this practical reference fully covers new developments in SAR and its various methodologies and enables readers to interpret SAR imagery An essential reference on polarimetric Synthetic Aperture Radar (SAR), this book uses scattering theory and radiative transfer theory as a basis for its treatment of topics. It is organized to include theoretical scattering models and SAR data analysis techniques, and presents cutting-edge research on theoretical modelling of terrain surface. The book includes quantitative app

  11. Coseismic Deformation Detection of the 1997 Mani Earthquake Using ERS SAR Data

    Science.gov (United States)

    Wang, Xinhong; Tang, Lingli; Li, Chuanrong; Ouyang, Guangzhou; Zhang, Jingfa

    2010-12-01

    D-InSAR has been proven a powerful technique to measure coseismic deformation. This paper will describe an application of D-InSAR on earthquake deformation detecting. On the basis of analysis of fundamentals of D-InSAR, coseismic displacement fields corresponding to Mani earthquake which took place in November 1997, has been successfully extracted. Through the coseismic displacement information, the largest surface displacement value on LOS direction can then be estimated. Four ERS SAR images were used for the D-InSAR processing, in which three images were acquired prior to the earthquake event, and the other one were acquired after the earthquake. The resultant coseismic displacement field image clearly shows the spatial distribution pattern of the deformation magnitude and the location of the earthquake epicentre. From the number of deformation fringes, the most large displacement can be estimated to be at least 92.4 cm in the line of sight direction of the radar.

  12. Brain training game improves executive functions and processing speed in the elderly: a randomized controlled trial.

    Directory of Open Access Journals (Sweden)

    Rui Nouchi

    Full Text Available BACKGROUND: The beneficial effects of brain training games are expected to transfer to other cognitive functions, but these beneficial effects are poorly understood. Here we investigate the impact of the brain training game (Brain Age on cognitive functions in the elderly. METHODS AND RESULTS: Thirty-two elderly volunteers were recruited through an advertisement in the local newspaper and randomly assigned to either of two game groups (Brain Age, Tetris. This study was completed by 14 of the 16 members in the Brain Age group and 14 of the 16 members in the Tetris group. To maximize the benefit of the interventions, all participants were non-gamers who reported playing less than one hour of video games per week over the past 2 years. Participants in both the Brain Age and the Tetris groups played their game for about 15 minutes per day, at least 5 days per week, for 4 weeks. Each group played for a total of about 20 days. Measures of the cognitive functions were conducted before and after training. Measures of the cognitive functions fell into four categories (global cognitive status, executive functions, attention, and processing speed. Results showed that the effects of the brain training game were transferred to executive functions and to processing speed. However, the brain training game showed no transfer effect on any global cognitive status nor attention. CONCLUSIONS: Our results showed that playing Brain Age for 4 weeks could lead to improve cognitive functions (executive functions and processing speed in the elderly. This result indicated that there is a possibility which the elderly could improve executive functions and processing speed in short term training. The results need replication in large samples. Long-term effects and relevance for every-day functioning remain uncertain as yet. TRIAL REGISTRATION: UMIN Clinical Trial Registry 000002825.

  13. Brain Training Game Improves Executive Functions and Processing Speed in the Elderly: A Randomized Controlled Trial

    Science.gov (United States)

    Nouchi, Rui; Taki, Yasuyuki; Takeuchi, Hikaru; Hashizume, Hiroshi; Akitsuki, Yuko; Shigemune, Yayoi; Sekiguchi, Atsushi; Kotozaki, Yuka; Tsukiura, Takashi; Yomogida, Yukihito; Kawashima, Ryuta

    2012-01-01

    Background The beneficial effects of brain training games are expected to transfer to other cognitive functions, but these beneficial effects are poorly understood. Here we investigate the impact of the brain training game (Brain Age) on cognitive functions in the elderly. Methods and Results Thirty-two elderly volunteers were recruited through an advertisement in the local newspaper and randomly assigned to either of two game groups (Brain Age, Tetris). This study was completed by 14 of the 16 members in the Brain Age group and 14 of the 16 members in the Tetris group. To maximize the benefit of the interventions, all participants were non-gamers who reported playing less than one hour of video games per week over the past 2 years. Participants in both the Brain Age and the Tetris groups played their game for about 15 minutes per day, at least 5 days per week, for 4 weeks. Each group played for a total of about 20 days. Measures of the cognitive functions were conducted before and after training. Measures of the cognitive functions fell into four categories (global cognitive status, executive functions, attention, and processing speed). Results showed that the effects of the brain training game were transferred to executive functions and to processing speed. However, the brain training game showed no transfer effect on any global cognitive status nor attention. Conclusions Our results showed that playing Brain Age for 4 weeks could lead to improve cognitive functions (executive functions and processing speed) in the elderly. This result indicated that there is a possibility which the elderly could improve executive functions and processing speed in short term training. The results need replication in large samples. Long-term effects and relevance for every-day functioning remain uncertain as yet. Trial Registration UMIN Clinical Trial Registry 000002825 PMID:22253758

  14. Brain training game improves executive functions and processing speed in the elderly: a randomized controlled trial.

    Science.gov (United States)

    Nouchi, Rui; Taki, Yasuyuki; Takeuchi, Hikaru; Hashizume, Hiroshi; Akitsuki, Yuko; Shigemune, Yayoi; Sekiguchi, Atsushi; Kotozaki, Yuka; Tsukiura, Takashi; Yomogida, Yukihito; Kawashima, Ryuta

    2012-01-01

    The beneficial effects of brain training games are expected to transfer to other cognitive functions, but these beneficial effects are poorly understood. Here we investigate the impact of the brain training game (Brain Age) on cognitive functions in the elderly. Thirty-two elderly volunteers were recruited through an advertisement in the local newspaper and randomly assigned to either of two game groups (Brain Age, Tetris). This study was completed by 14 of the 16 members in the Brain Age group and 14 of the 16 members in the Tetris group. To maximize the benefit of the interventions, all participants were non-gamers who reported playing less than one hour of video games per week over the past 2 years. Participants in both the Brain Age and the Tetris groups played their game for about 15 minutes per day, at least 5 days per week, for 4 weeks. Each group played for a total of about 20 days. Measures of the cognitive functions were conducted before and after training. Measures of the cognitive functions fell into four categories (global cognitive status, executive functions, attention, and processing speed). Results showed that the effects of the brain training game were transferred to executive functions and to processing speed. However, the brain training game showed no transfer effect on any global cognitive status nor attention. Our results showed that playing Brain Age for 4 weeks could lead to improve cognitive functions (executive functions and processing speed) in the elderly. This result indicated that there is a possibility which the elderly could improve executive functions and processing speed in short term training. The results need replication in large samples. Long-term effects and relevance for every-day functioning remain uncertain as yet. UMIN Clinical Trial Registry 000002825.

  15. Stalking SARS: CDC at Work

    Centers for Disease Control (CDC) Podcasts

    2014-05-22

    In this podcast for kids, the Kidtastics talk about the SARS outbreak and how CDC worked to solve the mystery.  Created: 5/22/2014 by National Center for Immunization and Respiratory Diseases (NCIRD).   Date Released: 5/22/2014.

  16. SARS – virus jumps species

    Indian Academy of Sciences (India)

    SARS – virus jumps species. Coronavirus reshuffles genes; Rotteir et al, Rotterdam showed the virus to jump from cats to mouse cells after single gene mutation ? Human disease due to virus jumping from wild or domestic animals; Present favourite animal - the cat; - edible or domestic.

  17. Validation of Forested Inundation Extent Revealed by L-Band Polarimetric and Interferometric SAR Data

    Science.gov (United States)

    Chapman, Bruce; Celi, Jorge; Hamilton, Steve; McDonald, Kyle

    2013-01-01

    UAVSAR, NASA's airborne Synthetic Aperture Radar (SAR), conducted an extended observational campaign in Central and South America in March 2013, primarily related to volcanic deformations along the Andean Mountain Range but also including a large number of flights studying other scientific phenomena. During this campaign, the L-Band SAR collected data over the Napo River in Ecuador. The objectives of this experiment were to acquire polarimetric and interferometric L-Band SAR data over an inundated tropical forest in Ecuador simultaneously with on-the-ground field work ascertaining the extent of inundation, and to then derive from this data a quantitative estimate for the error in the SAR-derived inundation extent. In this paper, we will first describe the processing and preliminary analysis of the SAR data. The polarimetric SAR data will be classified by land cover and inundation state. The interferometric SAR data will be used to identify those areas where change in inundation extent occurred, and to measure the change in water level between two observations separated by a week. Second, we will describe the collection of the field estimates of inundation, and have preliminary comparisons of inundation extent measured in the field field versus that estimated from the SAR data.

  18. Exploring the Critical Role of Motivation to Transfer in the Training Transfer Process

    Science.gov (United States)

    Grohmann, Anna; Beller, Johannes; Kauffeld, Simone

    2014-01-01

    The present study aims at exploring the critical role of motivation to transfer within the training transfer process. In a sample of N?=?252 employees of one industrial company, one peer rating and several self-ratings of transfer were used to investigate the mediating role of motivation to transfer in the relationship between training…

  19. Structure, Content, and Process in Teacher Training: The Relevance of Copernicus, Gardner, and Dewey.

    Science.gov (United States)

    Soares, Louise M.

    1998-01-01

    Argues that a unique combination of (1) the Copernican Plan for block scheduling; (2) the application of Howard Gardner's theory of multiple intelligences; and (3) John Dewey's basic ideas about process create a teacher training program in which mastery is an achievable goal. Describes each component and illustrates how each has worked in one…

  20. Research on Badminton Footwork Training and Teaching Effect based on Computer Aided Information Processing

    National Research Council Canada - National Science Library

    Chao Chen

    2016-01-01

    ... in badminton sport; also will improve students' heart and lung function. Keywords: Information Processing, badminton training, teaching quality, technical level 1.Introduction With the development of computer technology, multimedia computer technology has been widely used in the field of physical education. The application of this representative is ...

  1. Evaluating Views of Teacher Trainees on Teacher Training Process in Turkey

    Science.gov (United States)

    Kildan, Abdullah Oguz; Ibret, Bilgin Unal; Pektas, Murat; Aydinozu, Duran; Incikabi, Lutfi; Recepoglu, Ergun

    2013-01-01

    The views of the teacher trainees who have recently started the teaching profession on teacher training process are of great value because they are new graduates and they are in their first year in the profession. Since the teachers in their first year in the profession do not have any experience, they have to pursue the educational tasks based on…

  2. Forming Professional Mobility in the Process of Future Master Philologists' Training in Ukraine and Abroad

    Science.gov (United States)

    Semenog, Olena

    2016-01-01

    On the basis of scientific research, the experience of higher education institutions in Ukraine and abroad (the USA, the Swiss Confederation) concerning the forming of future philologists' professional mobility in the process of Master training has been generalized. It has been overviewed, that professional mobility is an essential indicator of…

  3. The Curriculum Development for Science Teachers' Training: The Action Lesson Focusing on Science Process Skills

    Science.gov (United States)

    Khayotha, Jesda; Sitti, Somsong; Sonsupap, Kanyarat

    2015-01-01

    The objectives of this research were to develop innovation curriculum and study the effect of curriculum usage in science teachers' training in establishing the supplementary subject curriculum for action lesson. It focuses on science process skills with 10 teachers for 4 days, and 236 Grade 9 students from 10 schools during the first semester of…

  4. Aging process, cognitive decline and Alzheimer`s disease: can strength training modulate these responses?

    Science.gov (United States)

    Portugal, Eduardo Matta Mello; Vasconcelos, Poliane Gomes Torres; Souza, Renata; Lattari, Eduardo; Monteiro-Junior, Renato Sobral; Machado, Sergio; Deslandes, Andrea Camaz

    2015-01-01

    Some evidence shows that aerobic training can attenuate the aging effects on the brain structures and functions. However, the strength exercise effects are poorly discussed. Thus, in the present study, the effects of strength training on the brain in elderly people and Alzheimer`s disease (AD) patients were revised. Furthermore, it a biological explanation relating to strength training effects on the brain is proposed. Brain atrophy can be related to neurotransmission dysfunction, like oxidative stress, that generates mitochondrial damage and reduced brain metabolism. Another mechanism is related to amyloid deposition and amyloid tangles, that can be related to reductions on insulin-like growth factor I concentrations. The brain-derived neurotrophic factor also presents reduction during aging process and AD. These neuronal dysfunctions are also related to cerebral blood flow decline that influence brain metabolism. All of these alterations contribute to cognitive impairment and AD. After a long period of strength training, the oxidative stress can be reduced, the brain-derived neurotrophic factor and insulin-like growth factor I serum concentrations enhance, and the cognitive performance improves. Considering these results, we can infer that strength training can be related to increased neurogenesis, neuroplasticity and, consequently, counteracts aging effects on the brain. The effect of strength training as an additional treatment of AD needs further investigation.

  5. Developing a Business Intelligence Process for a Training Module in SharePoint 2010

    Science.gov (United States)

    Schmidtchen, Bryce; Solano, Wanda M.; Albasini, Colby

    2015-01-01

    Prior to this project, training information for the employees of the National Center for Critical Processing and Storage (NCCIPS) was stored in an array of unrelated spreadsheets and SharePoint lists that had to be manually updated. By developing a content management system through a web application platform named SharePoint, this training system is now highly automated and provides a much less intensive method of storing training data and scheduling training courses. This system was developed by using SharePoint Designer and laying out the data structure for the interaction between different lists of data about the employees. The automation of data population inside of the lists was accomplished by implementing SharePoint workflows which essentially lay out the logic for how data is connected and calculated between certain lists. The resulting training system is constructed from a combination of five lists of data with a single list acting as the user-friendly interface. This interface is populated with the courses required for each employee and includes past and future information about course requirements. The employees of NCCIPS now have the ability to view, log, and schedule their training information and courses with much more ease. This system will relieve a significant amount of manual input and serve as a powerful informational resource for the employees of NCCIPS in the future.

  6. Construction training process of highly skilled players in mini-football for competition period

    Directory of Open Access Journals (Sweden)

    Stasiuk I.I.

    2013-08-01

    Full Text Available Analyzed the structure and content of the competition period in mini-football. It was determined that the structure of the competition period consists of 4 competitive mesocycles. In each mesocycle includes various types of micro-cycles (competitive, cross-game and rehabilitation. Reflects the ratio of specific and non-specific (general preparations means training work. So in the competitive period for competitive mesocycles general preparations exercises ranged from 38.3 to 42.4%, special-preparation - from 29.9 to 32.6%, competitive - from 20.9 to 23.3%. The intensity of the training load in intergame microcycles less than competitive. This corresponds to the strategy of building the training process in the competitive period. During the competition period the ratio of the training load was: aerobic focus - 49.2%, mixed - 46.1%, anaerobic alactate - 2.4%, anaerobic glycolytic - 2.3%. Defines the scope and focus of the training load: longer the aerobic work, then - mixed, anaerobic- alactate and anaerobic-glycolytic. The comparative characteristics of the intensity of the training load in competitive and intergame microcycles.

  7. Attention training improves aberrant neural dynamics during working memory processing in veterans with PTSD.

    Science.gov (United States)

    McDermott, Timothy J; Badura-Brack, Amy S; Becker, Katherine M; Ryan, Tara J; Bar-Haim, Yair; Pine, Daniel S; Khanna, Maya M; Heinrichs-Graham, Elizabeth; Wilson, Tony W

    2016-12-01

    Posttraumatic stress disorder (PTSD) is associated with executive functioning deficits, including disruptions in working memory (WM). Recent studies suggest that attention training reduces PTSD symptomatology, but the underlying neural mechanisms are unknown. We used high-density magnetoencephalography (MEG) to evaluate whether attention training modulates brain regions serving WM processing in PTSD. Fourteen veterans with PTSD completed a WM task during a 306-sensor MEG recording before and after 8 sessions of attention training treatment. A matched comparison sample of 12 combat-exposed veterans without PTSD completed the same WM task during a single MEG session. To identify the spatiotemporal dynamics, each group's data were transformed into the time-frequency domain, and significant oscillatory brain responses were imaged using a beamforming approach. All participants exhibited activity in left hemispheric language areas consistent with a verbal WM task. Additionally, veterans with PTSD and combat-exposed healthy controls each exhibited oscillatory responses in right hemispheric homologue regions (e.g., right Broca's area); however, these responses were in opposite directions. Group differences in oscillatory activity emerged in the theta band (4-8 Hz) during encoding and in the alpha band (9-12 Hz) during maintenance and were significant in right prefrontal and right supramarginal and inferior parietal regions. Importantly, following attention training, these significant group differences were reduced or eliminated. This study provides initial evidence that attention training improves aberrant neural activity in brain networks serving WM processing.

  8. Using innovative instructional technology to meet training needs in public health: a design process.

    Science.gov (United States)

    Millery, Mari; Hall, Michelle; Eisman, Joanna; Murrman, Marita

    2014-03-01

    Technology and distance learning can potentially enhance the efficient and effective delivery of continuing education to the public health workforce. Public Health Training Centers collaborate with instructional technology designers to develop innovative, competency-based online learning experiences that meet pressing training needs and promote best practices. We describe one Public Health Training Center's online learning module design process, which consists of five steps: (1) identify training needs and priority competencies; (2) define learning objectives and identify educational challenges; (3) pose hypotheses and explore innovative, technology-based solutions; (4) develop and deploy the educational experience; and (5) evaluate feedback and outcomes to inform continued cycles of revision and improvement. Examples illustrate the model's application. These steps are discussed within the context of design practices in the fields of education, engineering, and public health. They incorporate key strategies from across these fields, including principles of programmatic design familiar to public health professionals, such as backward design. The instructional technology design process we describe provides a structure for the creativity, collaboration, and systematic strategies needed to develop online learning products that address critical training needs for the public health workforce.

  9. Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks

    Directory of Open Access Journals (Sweden)

    Feng Gao

    2017-05-01

    Full Text Available With the development of Earth observation programs, more and more multi-temporal synthetic aperture radar (SAR data are available from remote sensing platforms. Therefore, it is demanding to develop unsupervised methods for SAR image change detection. Recently, deep learning-based methods have displayed promising performance for remote sensing image analysis. However, these methods can only provide excellent performance when the number of training samples is sufficiently large. In this paper, a novel simple method for SAR image change detection is proposed. The proposed method uses two singular value decomposition (SVD analyses to learn the non-linear relations between multi-temporal images. By this means, the proposed method can generate more representative feature expressions with fewer samples. Therefore, it provides a simple yet effective way to be designed and trained easily. Firstly, deep semi-nonnegative matrix factorization (Deep Semi-NMF is utilized to select pixels that have a high probability of being changed or unchanged as samples. Next, image patches centered at these sample pixels are generated from the input multi-temporal SAR images. Then, we build SVD networks, which are comprised of two SVD convolutional layers and one histogram feature generation layer. Finally, pixels in both multi-temporal SAR images are classified by the SVD networks, and then the final change map can be obtained. The experimental results of three SAR datasets have demonstrated the effectiveness and robustness of the proposed method.

  10. Semi-supervised Learning for Classification of Polarimetric SAR Images Based on SVM-Wishart

    Directory of Open Access Journals (Sweden)

    Hua Wen-qiang

    2015-02-01

    Full Text Available In this study, we propose a new semi-supervised classification method for Polarimetric SAR (PolSAR images, aiming at handling the issue that the number of train set is small. First, considering the scattering characters of PolSAR data, this method extracts multiple scattering features using target decomposition approach. Then, a semi-supervised learning model is established based on a co-training framework and Support Vector Machine (SVM. Both labeled and unlabeled data are utilized in this model to obtain high classification accuracy. Third, a recovery scheme based on the Wishart classifier is proposed to improve the classification performance. From the experiments conducted in this study, it is evident that the proposed method performs more effectively compared with other traditional methods when the number of train set is small.

  11. Production of biodiesel and biogas from algae: a review of process train options.

    Science.gov (United States)

    Wiley, Patrick E; Campbell, J Elliott; McKuin, Brandi

    2011-04-01

    Algae are an attractive biofuel feedstock because of their fast growth rates and improved land use efficiency when compared with terrestrial crops. Process train components needed to produce algal biofuels include (1) cultivation, (2) harvesting, and (3) conversion into usable fuel. This paper compares various process train options and identifies knowledge gaps presently restricting the production of algal biodiesel and algae-derived biogas. This analysis identified energy-intensive processing and the inability to cultivate large quantities of lipid-rich algal biomass as major obstacles inhibiting algal biodiesel production. Anaerobic digestion of algal biomass requires fewer process train components and occurs regardless of lipid content. In either scenario, the use of wastewater effluent as a cultivation medium seems necessary to reduce greenhouse gas emissions and maximize water use efficiency. Furthermore, anaerobically digesting algal biomass generated from low-technology wastewater treatment processes represents an appropriate technology approach to algal biofuels that is poorly investigated. Coupling these processes can improve global health by improving sanitation, while providing a cleaner burning biogas alternative to indoor biomass cooking systems typical of less-developed areas.

  12. PROCESS AND FUNCTIONAL ANALYSIS OF ART FACULTY STUDENTS’ CONDUCTIVE AND CHORAL TRAINING

    Directory of Open Access Journals (Sweden)

    Larysa Chyncheva

    2016-11-01

    Full Text Available The article reveals the specifics of teachers’ conductive and choral music training for practical work with students. The aim of the article is to specify future music teachers’ conductive and choral training for practical work with pupils; to identify the most significant functions of students’ conducting and choral training. The chosen problem is relevant as using of pedagogical opportunities of conductive and choral subjects is an effective tool of forming future music teachers’ professional competence due to involving them into active individual and group performing activity (participating in performances of educational choral group and managing it while working practically with choir. Procedural and functional analysis of conductive and choral training of art faculty students is done. The analysis allowed disclosing the most important tool for students’ conducting and choral training. In the conclusion the author emphasizes on the fact that a characteristic creative feature of a music teacher’s activity is a high level of creative activity that aims at implementing musical and creative abilities in the process of perception of the individual’s new spiritual needs, which help get practical experience. The system of indirect management in the creative process on the basis of a creative and reflexive manner is optimum. This property gains the special value in the process of interpreting music art and aesthetic image. The future music teachers’ attention should be paid to the lack of a student’s holistic vision of the art and music image. The problem of the future teachers’ creative development is connected with forming creativity, with efficient searching forms, methods, tools and techniques that intensify the independence of musical thinking in the process of interpretative activity. In the process, a gap between rational and emotional aspects of art and musical activities has been found.

  13. Improving SAR Automatic Target Recognition Models with Transfer Learning from Simulated Data

    DEFF Research Database (Denmark)

    Malmgren-Hansen, David; Kusk, Anders; Dall, Jørgen

    2017-01-01

    SAR images of sufficient size, simulated data play a big role in SAR ATR development, but the transferability of knowledge learned on simulated data to real data remains to be studied further. In this letter, we show the first study of Transfer Learning between a simulated data set and a set of real......Data-driven classification algorithms have proved to do well for automatic target recognition (ATR) in synthetic aperture radar (SAR) data. Collecting data sets suitable for these algorithms is a challenge in itself as it is difficult and expensive. Due to the lack of labeled data sets with real...... SAR images. The simulated data set is obtained by adding a simulated object radar reflectivity to a terrain model of individual point scatters, prior to focusing. Our results show that a Convolutional Neural Network (Convnet) pretrained on simulated data has a great advantage over a Convnet trained...

  14. Two dimensional estimates from ocean SAR images

    Directory of Open Access Journals (Sweden)

    J. M. Le Caillec

    1996-01-01

    Full Text Available Synthetic Aperture Radar (SAR images of the ocean yield a lot of information on the sea-state surface providing that the mapping process between the surface and the image is clearly defined. However it is well known that SAR images exhibit non-gaussian statistics and that the motion of the scatterers on the surface, while the image is being formed, may yield to nonlinearities. The detection and quantification of these nonlinearities are made possible by using Higher Order Spectra (HOS methods and more specifically, bispectrum estimation. The development of the latter method allowed us to find phase relations between different parts of the image and to recognise their level of coupling, i.e. if and how waves of different wavelengths interacted nonlinearly. This information is quite important as the usual models assume strong nonlinearities when the waves are propagating in the azimuthal direction (i.e. along the satellite track and almost no nonlinearities when propagating in the range direction. In this paper, the mapping of the ocean surface to the SAR image is reinterpreted and a specific model (i.e. a Second Order Volterra Model is introduced. The nonlinearities are thus explained as either produced by a nonlinear system or due to waves propagating into selected directions (azimuth or range and interacting during image formation. It is shown that quadratic nonlinearities occur for waves propagating near the range direction while for those travelling in the azimuthal direction the nonlinearities, when present, are mostly due to wave interactions but are almost completely removed by the filtering effect coming from the surface motion itself (azimuth cut-off. An inherent quadratic interaction filtering (azimuth high pass filter is also present. But some other effects, apparently nonlinear, are not detected with the methods described here, meaning that either the usual relation developed for the Ocean-to-SAR transform is somewhat incomplete

  15. SAR image dataset of military ground targets with multiple poses for ATR

    Science.gov (United States)

    Belloni, Carole; Balleri, Alessio; Aouf, Nabil; Merlet, Thomas; Le Caillec, Jean-Marc

    2017-10-01

    Automatic Target Recognition (ATR) is the task of automatically detecting and classifying targets. Recognition using Synthetic Aperture Radar (SAR) images is interesting because SAR images can be acquired at night and under any weather conditions, whereas optical sensors operating in the visible band do not have this capability. Existing SAR ATR algorithms have mostly been evaluated using the MSTAR dataset.1 The problem with the MSTAR is that some of the proposed ATR methods have shown good classification performance even when targets were hidden,2 suggesting the presence of a bias in the dataset. Evaluations of SAR ATR techniques are currently challenging due to the lack of publicly available data in the SAR domain. In this paper, we present a high resolution SAR dataset consisting of images of a set of ground military target models taken at various aspect angles, The dataset can be used for a fair evaluation and comparison of SAR ATR algorithms. We applied the Inverse Synthetic Aperture Radar (ISAR) technique to echoes from targets rotating on a turntable and illuminated with a stepped frequency waveform. The targets in the database consist of four variants of two 1.7m-long models of T-64 and T-72 tanks. The gun, the turret position and the depression angle are varied to form 26 different sequences of images. The emitted signal spanned the frequency range from 13 GHz to 18 GHz to achieve a bandwidth of 5 GHz sampled with 4001 frequency points. The resolution obtained with respect to the size of the model targets is comparable to typical values obtained using SAR airborne systems. Single polarized images (Horizontal-Horizontal) are generated using the backprojection algorithm.3 A total of 1480 images are produced using a 20° integration angle. The images in the dataset are organized in a suggested training and testing set to facilitate a standard evaluation of SAR ATR algorithms.

  16. Differentiating maturational and training influences on fMRI activation during music processing.

    Science.gov (United States)

    Ellis, Robert J; Norton, Andrea C; Overy, Katie; Winner, Ellen; Alsop, David C; Schlaug, Gottfried

    2012-04-15

    Two major influences on how the brain processes music are maturational development and active musical training. Previous functional neuroimaging studies investigating music processing have typically focused on either categorical differences between "musicians versus nonmusicians" or "children versus adults." In the present study, we explored a cross-sectional data set (n=84) using multiple linear regression to isolate the performance-independent effects of age (5 to 33 years) and cumulative duration of musical training (0 to 21,000 practice hours) on fMRI activation similarities and differences between melodic discrimination (MD) and rhythmic discrimination (RD). Age-related effects common to MD and RD were present in three left hemisphere regions: temporofrontal junction, ventral premotor cortex, and the inferior part of the intraparietal sulcus, regions involved in active attending to auditory rhythms, sensorimotor integration, and working memory transformations of pitch and rhythmic patterns. By contrast, training-related effects common to MD and RD were localized to the posterior portion of the left superior temporal gyrus/planum temporale, an area implicated in spectrotemporal pattern matching and auditory-motor coordinate transformations. A single cluster in right superior temporal gyrus showed significantly greater activation during MD than RD. This is the first fMRI which has distinguished maturational from training effects during music processing. Copyright © 2012 Elsevier Inc. All rights reserved.

  17. CERN Technical Training 2003: Learning for the LHC ! DISP-2003 - Digital Signal Processing

    CERN Multimedia

    2003-01-01

    DISP-2003 - Digital Signal Processing DISP-2003 is a two-term course given by CERN and University of Lausanne (UNIL) experts within the framework of the Technical Training Programme. The course will review the current techniques dealing with Digital Signal Processing, and it is intended for an audience who work or will work on digital signal processing aspects, and who need an introductory or refresher/update course. The course will be in English, with question and answers also in French. Spring 2 Term: DISP-2003: Advanced Digital Signal Processing 30 April 2003 - 21 May 2003, 4 lectures, Wednesdays afternoon (attendance cost: 40.- CHF, registration required) Lecturers: Léonard Studer, UNIL; Laurent Deniau, AT-MTM; Elena Wildner, AT-MAS Programme: Intelligent signal processing (ISP). Non-linear time series analysis. Image processing. Wavelets. (Basic concepts and definitions have been introduced during the previous Spring 1 Term: DISP-2003: Introduction to Digital Signal Processing). DISP-2003 is open...

  18. The process of initial training in Physical Education in an inclusive perspective: what do graduates say?

    Directory of Open Access Journals (Sweden)

    Maria das Graças Carvalho Silva de Sá

    2017-05-01

    Full Text Available The process of inclusion of disabled people in school contexts, even considering the advances produced in the context of Brazilian education laws, is still a great challenge to the materialization of a fair, plural and egalitarian educational project for all citizens. In this sense, this study carried out qualitative- quantitative, descriptive and exploratory research, aiming at analysing the understanding of graduates of the Physical Education course about the initial training process experienced and its possible contributions to the work in basic education in an inclusive perspective. The results revealed the importance of teachers‘ initial training processes to strengthen the articulation between teaching, research and extension, allied to a critical-reflexive perspective as a way to reinforce the inclusive pedagogical praxis.

  19. INFLUANCE OF TRAINING PROCESS ON DEVELOPMENT OF EXSPLOSIVE STRENGHT OF LEGS AT PIONEER BASKETBALL PLAYERS

    Directory of Open Access Journals (Sweden)

    Vukašin Badža

    2011-03-01

    Full Text Available The research is trying to give an answer on a question whether the training process which lasted two years influenced on development of exsplosive strenght of legs (one of basic psysical abilities at pioneer basketball players. The sample in a research are basketball players from „Danubius - Vojvodina Srbijagas” team, from Novi Sad. The group counts 20 players who participated in training process and on who measuring was conducted. Data were collected per two years, and measuring were exert three times during this period. Tests that were used in this research are: long jump, high jump and running 20m. The obtained data will be processed statistically, using ANOVA for repeated measures and descriptive statistics. Research results will be represented in tables and discussed in text.

  20. 2002/2003 IfSAR data for Southern California: Digital Elevation Model (NAVD88)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata document describes the collection and processing of topographic elevation point data derived from Interferometric Synthetic Aperture Radar (IfSAR)...

  1. PolinSAR coherence optimisation for deformation measurement in an agricultural region

    CSIR Research Space (South Africa)

    Engelbrecht, Jeanine

    2015-10-01

    Full Text Available of the scattering processes implied that different phase centres were present in interferograms which introduced a spatially heterogeneous topographic phase contribution. Consequently, the polInSAR techniques are considered to be unsuccessful in enhancing...

  2. Monitoring forest carbon in a Tanzanian woodland using interferometric SAR: a novel methodology for REDD

    National Research Council Canada - National Science Library

    Solberg, Svein; Gizachew, Belachew; Næsset, Erik; Gobakken, Terje; Bollandsås, Ole Martin; Mauya, Ernest William; Olsson, Håkan; Malimbwi, Rogers; Zahabu, Eliakimu

    2015-01-01

    ... as a basis for a reference emission level. Working in a miombo woodland in Tanzania, we here aim at demonstrating a novel 3D satellite approach based on interferometric processing of radar imagery (InSAR...

  3. 2002/2003 IfSAR data for Southern California: Radar Reflectance Image

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata document describes the collection and processing of topographic elevation point data derived from Interferometric Synthetic Aperture Radar (IfSAR)...

  4. Training Students’ Science Process Skills through Didactic Design on Work and Energy

    Science.gov (United States)

    Ramayanti, S.; Utari, S.; Saepuzaman, D.

    2017-09-01

    Science Process Skills (SPS) has not been optimally trained to the students in the learning activity. The aim of this research is finding the ways to train SPS on the subject of Work and Energy. One shot case study design is utilized in this research that conducted on 32 students in one of the High Schools in Bandung. The students’ SPS responses were analyzed by the development SPS based assessment portfolios. The results of this research showed the didactic design that had been designed to training the identifying variables skills, formulating hypotheses, and the experiment activity shows the development. But the didactic design to improve the students’ predicting skills shows that the development is still not optimal. Therefore, in the future studies need to be developed the didactic design on the subject Work and Energy that exercising these skills.

  5. SAR Image despeckling via sparse representation

    Science.gov (United States)

    Wang, Zhongmei; Yang, Xiaomei; Zheng, Liang

    2014-11-01

    SAR image despeckling is an active research area in image processing due to its importance in improving the quality of image for object detection and classification.In this paper, a new approach is proposed for multiplicative noise in SAR image removal based on nonlocal sparse representation by dictionary learning and collaborative filtering. First, a image is divided into many patches, and then a cluster is formed by clustering log-similar image patches using Fuzzy C-means (FCM). For each cluster, an over-complete dictionary is computed using the K-SVD method that iteratively updates the dictionary and the sparse coefficients. The patches belonging to the same cluster are then reconstructed by a sparse combination of the corresponding dictionary atoms. The reconstructed patches are finally collaboratively aggregated to build the denoised image. The experimental results show that the proposed method achieves much better results than many state-of-the-art algorithms in terms of both objective evaluation index (PSNR and ENL) and subjective visual perception.

  6. METH-33 - Performance assessment for the high resolution and wide swath (HRWS) post-Sentinel-1 SAR system

    DEFF Research Database (Denmark)

    Zonno, Mariantonietta; Maria J., Sanjuan-Ferrer,; Lopez-Dekker, Paco

    requirements on the design of spaceborne SAR systems. Nevertheless, recent studies have shown that by applying Digital Beam Forming (DBF) techniques, such as Scan-on-Receive (SCORE), and Multiple Azimuth Phase centers (MAPS), it becomes possible to overcome these fundamental limitations of conventional SAR...... or numerical models and, if these are not available, real SAR images as well as numerical algorithms and some explicit simulations of the data and of the inversion process are employed. The tool uses as input the HRWS SAR instrument performance for the different applicable modes and produces as output results...

  7. Automatic detection and reconstruction of 2D/3D building shapes from spaceborne TomoSAR point clouds

    OpenAIRE

    Shahzad, Muhammad; Zhu, Xiao Xiang

    2016-01-01

    Modern spaceborne SAR sensors such as TerraSAR-X/ TanDEM-X and COSMO-SkyMed can deliver very high resolution (VHR) data beyond the inherent spatial scales of buildings. Processing this VHR data with advanced interferometric techniques such as SAR tomography (TomoSAR) allows generation of 4D point clouds; containing not only the 3D positions of the scatterer location but also estimates of seasonal/temporal deformation on the scale of centimeters or even millimeters; making them very attractive...

  8. Task-switching, inhibition and the processing of unattended auditory stimuli in music trained and non-trained adolescents and young adults

    OpenAIRE

    Mannermaa, Kristiina

    2017-01-01

    Previous research has linked music training to enhanced processing of unattended auditory stimuli as indexed by such auditory event-related potential (ERP) responses as mismatch negativity (MMN) and P3a. Music training has also been linked with enhanced cognitive abilities more generally, and executive functions have been proposed to mediate this link. The current study concentrates on the processing of unattended auditory stimuli and how this relates to two aspects of executive functions: ta...

  9. Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures.

    Science.gov (United States)

    Williams, Sean; Trewartha, Grant; Cross, Matthew J; Kemp, Simon P T; Stokes, Keith A

    2017-04-01

    Numerous derivative measures can be calculated from the simple session rating of perceived exertion (sRPE), a tool for monitoring training loads (eg, acute:chronic workload and cumulative loads). The challenge from a practitioner's perspective is to decide which measures to calculate and monitor in athletes for injury-prevention purposes. The aim of the current study was to outline a systematic process of data reduction and variable selection for such training-load measures. Training loads were collected from 173 professional rugby union players during the 2013-14 English Premiership season, using the sRPE method, with injuries reported via an established surveillance system. Ten derivative measures of sRPE training load were identified from existing literature and subjected to principal-component analysis. A representative measure from each component was selected by identifying the variable that explained the largest amount of variance in injury risk from univariate generalized linear mixed-effects models. Three principal components were extracted, explaining 57%, 24%, and 9% of the variance. The training-load measures that were highly loaded on component 1 represented measures of the cumulative load placed on players, component 2 was associated with measures of changes in load, and component 3 represented a measure of acute load. Four-week cumulative load, acute:chronic workload, and daily training load were selected as the representative measures for each component. The process outlined in the current study enables practitioners to monitor the most parsimonious set of variables while still retaining the variation and distinct aspects of "load" in the data.

  10. A Network Inversion Filter combining GNSS and InSAR for tectonic slip modeling

    Science.gov (United States)

    Bekaert, D. P.; Segall, P.; Wright, T. J.; Hooper, A. J.

    2016-12-01

    Time-dependent slip modeling can be a powerful tool to improve our understanding of the interaction of earthquake cycle processes such as interseismic, coseismic, postseismic, and aseismic slip. Interferometric Synthetic Aperture Radar (InSAR) observations allow us to model slip at depth with a higher spatial resolution than when using GNSS alone. Typically the temporal resolution of InSAR has been limited. However, the recent generation of SAR satellites including Sentinel-1, COSMO-SkyMED, and RADARSAT-2 permits the use of InSAR for time-dependent slip modeling, at intervals of a few days when combined. The increasing amount of SAR data makes a simultaneous data inversion of all epochs challenging. Here, we expanded the original Network Inversion Filter (Segall and Matthews, 1997) to include InSAR observations of surface displacements in addition to GNSS. In the NIF framework, geodetic observations are limited to those of a given epoch, where a physical model describes the slip evolution over time. The combination of the Kalman forward filtering and backward smoothing allows all geodetic observations to constrain the complete observation period. Combining GNSS and InSAR allows us to model time-dependent slip at an unprecedented spatial resolution. We validate the approach with a simulation of the 2006 Guerrero slow slip event. In our study, we emphasize the importance of including the InSAR covariance information, and demonstrate that InSAR provides an additional constraint on the spatial extent of the slow slip. References: Segall, P., and M. Matthews (1997), Time dependent inversion of geodetic data, J. Geophys. Res., 102 (B10), 22,391 - 22,409, doi:10.1029/97JB01795. Bekaert, D., P. Segall, T.J. Wright, and A. Hooper (2016), A Network Inversion Filter combining GNSS and InSAR for tectonic slip modeling, JGR, doi:10.1002/2015JB012638 (open access).

  11. Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach

    Directory of Open Access Journals (Sweden)

    Wenshuai Chen

    2018-01-01

    Full Text Available In this paper, a novel polarimetric synthetic aperture radar (PolSAR image classification method based on multilayer autoencoders and self-paced learning (SPL is proposed. The multilayer autoencoders network is used to learn the features, which convert raw data into more abstract expressions. Then, softmax regression is applied to produce the predicted probability distributions over all the classes of each pixel. When we optimize the multilayer autoencoders network, self-paced learning is used to accelerate the learning convergence and achieve a stronger generalization capability. Under this learning paradigm, the network learns the easier samples first and gradually involves more difficult samples in the training process. The proposed method achieves the overall classification accuracies of 94.73%, 94.82% and 78.12% on the Flevoland dataset from AIRSAR, Flevoland dataset from RADARSAT-2 and Yellow River delta dataset, respectively. Such results are comparable with other state-of-the-art methods.

  12. Controlling Data Collection to Support SAR Image Rotation

    Science.gov (United States)

    Doerry, Armin W.; Cordaro, J. Thomas; Burns, Bryan L.

    2008-10-14

    A desired rotation of a synthetic aperture radar (SAR) image can be facilitated by adjusting a SAR data collection operation based on the desired rotation. The SAR data collected by the adjusted SAR data collection operation can be efficiently exploited to form therefrom a SAR image having the desired rotational orientation.

  13. InSAR data for monitoring land subsidence: time to think big

    OpenAIRE

    Ferretti, A.; Colombo, D.; Fumagalli, A; Novali, F.; Rucci, A.

    2015-01-01

    Satellite interferometric synthetic aperture radar (InSAR) data have proven effective and valuable in the analysis of urban subsidence phenomena based on multi-temporal radar images. Results obtained by processing data acquired by different radar sensors, have shown the potential of InSAR and highlighted the key points for an operational use of this technology, namely: (1) regular acquisition over large areas of interferometric data stacks; (2) use of advanced processing alg...

  14. Accelerating Spaceborne SAR Imaging Using Multiple CPU/GPU Deep Collaborative Computing

    OpenAIRE

    Zhang, Fan; Li, Guojun; Li, Wei; Hu, Wei; Hu, Yuxin

    2016-01-01

    With the development of synthetic aperture radar (SAR) technologies in recent years, the huge amount of remote sensing data brings challenges for real-time imaging processing. Therefore, high performance computing (HPC) methods have been presented to accelerate SAR imaging, especially the GPU based methods. In the classical GPU based imaging algorithm, GPU is employed to accelerate image processing by massive parallel computing, and CPU is only used to perform the auxiliary work such as data ...

  15. CERN Technical Training 2003: Learning for the LHC! DISP-2003 - Digital Signal Processing

    CERN Multimedia

    2003-01-01

    DISP-2003 is a two-term course given by CERN and University of Lausanne (UNIL) experts within the framework of the Technical Training Programme. The course will review the current techniques dealing with Digital Signal Processing, and it is intended for an audience who work or will work on digital signal processing aspects, and who need an introductory or refresher/update course. The course will be in English, with question and answers also in French. Spring 2 Term: DISP-2003: Advanced Digital Signal Processing 30 April 2003 - 21 May 2003, 4 lectures, Wednesdays afternoon. Attendance cost: 40.- CHF, registration required. Lecturers: Léonard Studer, UNIL; Laurent Deniau, AT-MTM; Elena Wildner, AT-MAS. Programme: Intelligent signal processing (ISP). Non-linear time series analysis. Image processing. Wavelets. Basic concepts and definitions have been introduced during the previous Spring 1 Term: DISP-2003: Introduction to Digital Signal Processing. DISP-2003 is open to all people interested, but registrat...

  16. Usalpharma: A Cloud-Based Architecture to Support Quality Assurance Training Processes in Health Area Using Virtual Worlds

    Directory of Open Access Journals (Sweden)

    Francisco J. García-Peñalvo

    2014-01-01

    Full Text Available This paper discusses how cloud-based architectures can extend and enhance the functionality of the training environments based on virtual worlds and how, from this cloud perspective, we can provide support to analysis of training processes in the area of health, specifically in the field of training processes in quality assurance for pharmaceutical laboratories, presenting a tool for data retrieval and analysis that allows facing the knowledge discovery in the happenings inside the virtual worlds.

  17. Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach.

    Science.gov (United States)

    Ly, Cheng; Tranchina, Daniel

    2009-02-01

    In the probability density function (PDF) approach to neural network modeling, a common simplifying assumption is that the arrival times of elementary postsynaptic events are governed by a Poisson process. This assumption ignores temporal correlations in the input that sometimes have important physiological consequences. We extend PDF methods to models with synaptic event times governed by any modulated renewal process. We focus on the integrate-and-fire neuron with instantaneous synaptic kinetics and a random elementary excitatory postsynaptic potential (EPSP), A. Between presynaptic events, the membrane voltage, v, decays exponentially toward rest, while s, the time since the last synaptic input event, evolves with unit velocity. When a synaptic event arrives, v jumps by A, and s is reset to zero. If v crosses the threshold voltage, an action potential occurs, and v is reset to v(reset). The probability per unit time of a synaptic event at time t, given the elapsed time s since the last event, h(s, t), depends on specifics of the renewal process. We study how regularity of the train of synaptic input events affects output spike rate, PDF and coefficient of variation (CV) of the interspike interval, and the autocorrelation function of the output spike train. In the limit of a deterministic, clocklike train of input events, the PDF of the interspike interval converges to a sum of delta functions, with coefficients determined by the PDF for A. The limiting autocorrelation function of the output spike train is a sum of delta functions whose coefficients fall under a damped oscillatory envelope. When the EPSP CV, sigma A/mu A, is equal to 0.45, a CV for the intersynaptic event interval, sigma T/mu T = 0.35, is functionally equivalent to a deterministic periodic train of synaptic input events (CV = 0) with respect to spike statistics. We discuss the relevance to neural network simulations.

  18. Training processes in under 6s football competition: The transition from ingenuity to institutionalization

    Directory of Open Access Journals (Sweden)

    Abel Merino Orozco

    2016-12-01

    Full Text Available Under 6s football competition is a school sport that has inherent educational implications. Moreover, it is a booming non-formal socio-educational framework where families and children lay training expectations and dreams. The aim is to comprehend the emerging learning processes promoted in this environment for 6 years-old children, when the child starts the institutionalization process in the ruled sport. The research uses a case study design, the ethnographic mode, through participant observation. It uses the narrative and image data to understand the scenario from the perspective of its builder. The results show that the institutionalization process starts from the ingenuity and lack of understanding of the child, who develops training processes in a prescriptive environment, where the competitive performance of the team is pursued. Promoting certain types of learning which the participant himself consciously considers inappropriate undertakes the presence of different kinds of behaviour, which go against the positive values usually attributed to football. The study claims for the necessity of taking advantage of the training opportunities which football offers to children such as the enhancing of creativity, self-efficacy and self-esteem.

  19. ANALYSIS OF EFFICIENCY OF THE DISTANCE TRAINING SYSTEM IN THE PROCESS OF COMPETENCY VERIFICATION

    Directory of Open Access Journals (Sweden)

    Kravtsovа L.

    2017-12-01

    Full Text Available The Kherson State Maritime Academy conducts experimental research on the integration of the educational process on the basis of a competence approach to the state educational policy of Ukraine. One of the directions of this work is the creation and implementation of a distance education platform to support the educational process in the Kherson Maritime Academy. The distance learning system of KSMA is built on the basis of the open Moodle platform, which offers a wide range of opportunities to fully support the learning process in the remote environment, namely, a variety of ways of presenting the training material, testing knowledge and monitoring progress. The peculiarity of the developed system is that the effectiveness of the training strategy is provided by taking into account the psychological characteristics of the user contingent, the ultimate goal of training, the motivation of the whole process of education, namely, the specifics of the seaman's profession. One of the main directions of the work was a complete replacement of the classical methodology for conducting the examination session for complex testing, which covers all disciplines from 1 to 5 courses of study and is conducted on the basis of a distance education platform. The results of the experiment showed that own site of distance learning is an effective tool for studying the teaching material and for testing the quality of its learning.

  20. Evaluation of the Potentials and Challenges of an Airborne InSAR System for Deformation Mapping: A Case Study over the Slumgullion Landslide

    Science.gov (United States)

    Cao, N.; Lee, H.; Zaugg, E.; Shrestha, R. L.; Carter, W. E.; Glennie, C. L.; Wang, G.; Lu, Z.; Diaz, J. C. F.

    2016-12-01

    Synthetic aperture radar (SAR) interferometry (InSAR) is a technique which uses two or more SAR images of the same area to estimate landscape topography or ground surface displacement. Differential InSAR (DInSAR) is capable of measuring ground displacements at the millimeter level, but a major drawback of traditional DInSAR is that only the deformation along the line-of-sight direction can be detected. Because most of the current spaceborne SAR systems have near-polar, sun-synchronous orbits, deformation measurements in the South-North direction are limited (except for polar regions). Compared with spaceborne SAR, airborne SAR systems have the advantages of flexible scanning geometry and revisit time, high spatial resolution, and no ionospheric distortion. In this study, we present a case study of the Slumgullion landslide conducted in July 2015 to assess an airborne SAR system known as ARTEMIS SlimSAR, which is a compact, modular, and multi-frequency radar system. The Slumgullion landslide, located in the San Juan Mountains near Lake City, Colorado is a long-term slow moving landslide that moves downhill continuously. For this study, the L-band SlimSAR was installed and data were collected on July 3, 7, and 10 and processed using the time-domain backprojection algorithm. GPS surveys and spaceborne DInSAR analysis using COSMO-SkyMed images were also conducted to verify the performance of the airborne SAR system. The airborne DInSAR results showed satisfying agreement with the GPS and spaceborne DInSAR results. The root mean square of the differences between the SlimSAR, and GPS and satellite derived velocities, were 0.6 mm/day, and 0.9 mm/day, respectively. A 3-D deformation map over Slumgullion landslide was generated, which displayed distinct correlation between the landslide motion and topography. This study also indicated that the primary source of the error for the SlimSAR system is the trajectory turbulences of the aircraft. The effect of the trajectory

  1. Analysis of the Effect of Radio Frequency Interference on Repeat Track Airborne InSAR System

    Directory of Open Access Journals (Sweden)

    Ding Bin

    2012-03-01

    Full Text Available The SAR system operating at low frequency is susceptible to Radio Frequency Interference (RFI from television station, radio station, and some other civil electronic facilities. The presence of RFI degrades the SAR image quality, and obscures the targets in the scene. Furthermore, RFI can cause interferometric phase error in repeat track InSAR system. In order to analyze the effect of RFI on interferometric phase of InSAR, real measured RFI signal are added on cone simulated SAR echoes. The imaging and interferometric processing results of both the RFI-contaminated and raw data are given. The effect of real measured RFI signal on repeat track InSAR system is analyzed. Finally, the imaging and interferometric processing results of both with and without RFI suppressed of the P band airborne repeat track InSAR real data are presented, which demonstrates the efficiency of the RFI suppression method in terms of decreasing the interferometric phase errors caused by RFI.

  2. Making SAR Data Accessible - ASF's ALOS PALSAR Radiometric Terrain Correction Project

    Science.gov (United States)

    Meyer, F. J.; Arko, S. A.; Gens, R.

    2015-12-01

    While SAR data have proven valuable for a wide range of geophysical research questions, so far, largely only the SAR-educated science communities have been able to fully exploit the information content of internationally available SAR archives. The main issues that have been preventing a more widespread utilization of SAR are related to (1) the diversity and complexity of SAR data formats, (2) the complexity of the processing flows needed to extract geophysical information from SAR, (3) the lack of standardization and automation of these processing flows, and (4) the often ignored geocoding procedures, leaving the data in image coordinate space. In order to improve upon this situation, ASF's radiometric terrain-correction (RTC) project is generating uniformly formatted and easily accessible value-added products from the ASF Distributed Active Archive Center's (DAAC) five-year archive of JAXA's ALOS PALSAR sensor. Specifically, the project applies geometric and radiometric corrections to SAR data to allow for an easy and direct combination of obliquely acquired SAR data with remote sensing imagery acquired in nadir observation geometries. Finally, the value-added data is provided to the user in the broadly accepted Geotiff format, in order to support the easy integration of SAR data into GIS environments. The goal of ASF's RTC project is to make SAR data more accessible and more attractive to the broader SAR applications community, especially to those users that currently have limited SAR expertise. Production of RTC products commenced October 2014 and will conclude late in 2015. As of July 2015, processing of 71% of ASF's ALOS PALSAR archive was completed. Adding to the utility of this dataset are recent changes to the data access policy that allow the full-resolution RTC products to be provided to the public, without restriction. In this paper we will introduce the processing flow that was developed for the RTC project and summarize the calibration and validation

  3. SAR Image Complex Pixel Representations

    Energy Technology Data Exchange (ETDEWEB)

    Doerry, Armin W. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-03-01

    Complex pixel values for Synthetic Aperture Radar (SAR) images of uniform distributed clutter can be represented as either real/imaginary (also known as I/Q) values, or as Magnitude/Phase values. Generally, these component values are integers with limited number of bits. For clutter energy well below full-scale, Magnitude/Phase offers lower quantization noise than I/Q representation. Further improvement can be had with companding of the Magnitude value.

  4. Reflectors for SAR performance testing.

    Energy Technology Data Exchange (ETDEWEB)

    Doerry, Armin Walter

    2008-01-01

    Synthetic Aperture Radar (SAR) performance testing and estimation is facilitated by observing the system response to known target scene elements. Trihedral corner reflectors and other canonical targets play an important role because their Radar Cross Section (RCS) can be calculated analytically. However, reflector orientation and the proximity of the ground and mounting structures can significantly impact the accuracy and precision with which measurements can be made. These issues are examined in this report.

  5. Can physical therapists deliver a pain coping skills program? An examination of training processes and outcomes.

    Science.gov (United States)

    Bryant, Christina; Lewis, Prudence; Bennell, Kim L; Ahamed, Yasmin; Crough, Denae; Jull, Gwendolen A; Kenardy, Justin; Nicholas, Michael K; Keefe, Francis J

    2014-10-01

    Physical therapists are well established as providers of treatments for common, painful, and disabling conditions, such as knee osteoarthritis (OA). Thus, they are well placed to deliver treatments that integrate physical and psychosocial elements. Attention is usually given to outcomes of such programs, but few studies have examined the processes and outcomes of training physical therapists to deliver such treatments. The aim of this study was to describe the processes in training physical therapists: (1) to deliver a standardized pain coping skills treatment and (2) to evaluate the effectiveness of that training. This study was an analysis of data relating to therapist performance in a randomized clinical trial. Eleven physical therapists were trained to deliver a 10-session pain coping skills training program for people with knee OA as part of a randomized controlled trial (N=222). The initial training was provided in a workshop format and included extensive, ongoing supervision by a psychologist and rigorous use of well-defined performance criteria to assess competence. Adherence to the program, ratings of performance, and use of advanced skills were all measured against these criteria in a sample (n=74, 10%) of the audio recordings of the intervention sessions. Overall, the physical therapists achieved a very high standard of treatment delivery, with 96.6% adherence to the program and mean performance ratings all in the satisfactory range. These results were maintained throughout the intervention and across all sessions. Only 10% of the delivered sessions were analyzed, and the physical therapists who took part in the study were a self-selected group. This study demonstrated that a systematic approach to training and accrediting physical therapists to deliver a standardized pain coping skills program can result in high and sustained levels of adherence to the program. Training fidelity was achieved in this group of motivated clinicians, but the supervision

  6. InSAR Scientific Computing Environment on the Cloud

    Science.gov (United States)

    Rosen, P. A.; Shams, K. S.; Gurrola, E. M.; George, B. A.; Knight, D. S.

    2012-12-01

    In response to the needs of the international scientific and operational Earth observation communities, spaceborne Synthetic Aperture Radar (SAR) systems are being tasked to produce enormous volumes of raw data daily, with availability to scientists to increase substantially as more satellites come online and data becomes more accessible through more open data policies. The availability of these unprecedentedly dense and rich datasets has led to the development of sophisticated algorithms that can take advantage of them. In particular, interferometric time series analysis of SAR data provides insights into the changing earth and requires substantial computational power to process data across large regions and over large time periods. This poses challenges for existing infrastructure, software, and techniques required to process, store, and deliver the results to the global community of scientists. The current state-of-the-art solutions employ traditional data storage and processing applications that require download of data to the local repositories before processing. This approach is becoming untenable in light of the enormous volume of data that must be processed in an iterative and collaborative manner. We have analyzed and tested new cloud computing and virtualization approaches to address these challenges within the context of InSAR in the earth science community. Cloud computing is democratizing computational and storage capabilities for science users across the world. The NASA Jet Propulsion Laboratory has been an early adopter of this technology, successfully integrating cloud computing in a variety of production applications ranging from mission operations to downlink data processing. We have ported a new InSAR processing suite called ISCE (InSAR Scientific Computing Environment) to a scalable distributed system running in the Amazon GovCloud to demonstrate the efficacy of cloud computing for this application. We have integrated ISCE with Polyphony to

  7. Forest biomass estimation from polarimetric SAR interferometry

    Energy Technology Data Exchange (ETDEWEB)

    Mette, T.

    2007-07-01

    Polarimetric SAR interferometry (Pol-InSAR) is a radar remote sensing technique that allows extracting forest heights by means of model-based inversions. Forest biomass is closely related to forest height, and can be derived from it with allometric relations. This work investigates the combination of the two methods to estimate forest biomass from Pol-InSAR. It develops a concept for the use of height-biomass allometry, and outlines the Pol-InSAR height inversion. The methodology is validated against a set of forest inventory data and Pol-InSAR data at L-band of the test site Traunstein. The results allow drawing conclusions on the potential of Pol-InSAR forest biomass missions. (orig.)

  8. A process for selection and training of super-users for ERP implementation projects

    OpenAIRE

    Danielsen, Peter; Sandfeld Hansen, Kenneth; Helt, Mads; Holm Nielsen, Lasse; Obwegeser, Nikolaus

    2017-01-01

    The concept of super-users as a means to facilitate ERP implementation projects has recently taken a foothold in practice, but is still largely overlooked in research. In particular, little is known about the selection and training processes required to successfully develop skilled super-users in practice. To address this research gap, we analyze the case of an ERP implementation program at a large manufacturing company. We combine Katz’s widely accepted skill measurement model with the proce...

  9. Improve of recovery during the training process of shot-bullet

    Directory of Open Access Journals (Sweden)

    Petruk I.D.

    2010-04-01

    Full Text Available Special features of the restorative means during the training of shot-bullet are described. Author made analysis of special literature, compares and assessments combination means of recovery, recommends to apply the complex of restorative means. The processes of sportsmen recovery became better during combination of sport massage and functional music, using the complex of facilities during a stage level of recovery.

  10. Training Drivers, Competitive Strategy and Clients' Needs: Case Studies of Three Business Process Outsourcing Organisations

    Science.gov (United States)

    Malik, Ashish

    2009-01-01

    Purpose: The purpose of this paper is to examine the factors that drive a firm's decision to invest in training in India's IT-enabled services/business process outsourcing (ITeS/BPO) sector. It aims to consider a much-neglected area and an often-cited need to consider external factors, especially the needs of an organisation's clients in a firm's…

  11. Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models

    Science.gov (United States)

    2015-05-22

    Curves for training and testing accuracies of different ELMs changing with L on Treasury Dataset 4 Experiments In this section, we use 12 UCI and KEEL ...sci2s.ugr.es/ keel /datasets.php Use Correlation Coefficients in Gaussian Process 407 classification than other methods. The StaELM models are stable...marize kernel-based ELMs. Section 3 introduces our proposed StaELM. Exper- imental simulations are presented in Section 4. Finally, we conclude this

  12. PROFESSIONAL TRAINING IN THE TERMS OF MICROENTERPRISES: PROCESS MODELLING OF EDUCATIONAL AND PROFESSIONAL INTERACTION

    Directory of Open Access Journals (Sweden)

    V. A. Fedorov

    2017-01-01

    Full Text Available Aim. The aim of this article is to understand the current issues of pedagogical training situation of a potential employee an experienced professional when using the internal resources of micro-enterprises. The relevance of the research problem dues to the needs of the labour market, terms of developing economy situation of micro-entrepreneurship and the demands of the subject of labour activity to vocational training without discontinuing work.Methodology and research methods. A leading approach to the study of this problem is a system-activity one, which allows us to represent the process of professional training in terms of the micro-enterprise as a system activity of subjects for the development of professional competence of the employee. The following research methods are used to solve the set tasks: theoretical study and analysis of psychological, pedagogical, sociological, scientific-methodical and special literature on the problem under study; a systematic approach to the disclosure of the nature of the problem and the formation of conceptual-terminological apparatus of the research; study and analysis of legislative and normative-legal acts; empirical – pedagogical observation, generalization and study of teaching experience, pedagogical design, questionnaire, interview, interviews, analysis of results, method of expert evaluations and their generalization.Results. The results of the research showed that the process of training and professional interaction of the micro-enterprise employees will be effective if training and professional interaction of the micro-enterprise employees to be considered as a productive mutual agreed actions of subjects of labour, aimed at solving the educational and professional problems in the process of joint labour activity. Developed structural-functional model of training and professional interaction of employees of micro-enterprises allows us to introduce the process of professional training as a

  13. (abstract) Alaska SAR Facility Ocean and Ice Data Opportunities Over the Next Decade

    Science.gov (United States)

    Carsey, Frank; Wales, Carl

    1996-01-01

    The Alaska SAR Facility (ASF) is currently processing data from four satellites. All of these generate SAR data useful for ice observations and three of them generate data useful for ocean observations. The data sets from these satellites are available to approved US and other investigators although the approval mechanisms are different. More satellites are planned. These will carry SAR instruments of increased capability for ocean and ice observations. We will discuss the anticipated situation for access to these data sets by the scientific community and we will speculate on what the major oceanographic applications may be.

  14. Research on Multi-Temporal PolInSAR Modeling and Applications

    Science.gov (United States)

    Hong, Wen; Pottier, Eric; Chen, Erxue

    2014-11-01

    In the study of theory and processing methodology, we apply accurate topographic phase to the Freeman-Durden decomposition for PolInSAR data. On the other hand, we present a TomoSAR imaging method based on convex optimization regularization theory. The target decomposition and reconstruction performance will be evaluated by multi-temporal Land P-band fully polarimetric images acquired in BioSAR campaigns. In the study of hybrid Quad-Pol system performance, we analyse the expression of range ambiguity to signal ratio (RASR) in this architecture. Simulations are used to testify its advantage in the improvement of range ambiguities.

  15. Influence of musical expertise and musical training on pitch processing in music and language.

    Science.gov (United States)

    Besson, Mireille; Schön, Daniele; Moreno, Sylvain; Santos, Andréia; Magne, Cyrille

    2007-01-01

    We review a series of experiments aimed at studying pitch processing in music and speech. These studies were conducted with musician and non musician adults and children. We found that musical expertise improved pitch processing not only in music but also in speech. Demonstrating transfer of training between music and language has interesting applications for second language learning. We also addressed the issue of whether the positive effects of musical expertise are linked with specific predispositions for music or with extensive musical practice. Results of longitudinal studies argue for the later. Finally, we also examined pitch processing in dyslexic children and found that they had difficulties discriminating strong pitch changes that are easily discriminate by normal readers. These results argue for a strong link between basic auditory perception abilities and reading abilities. We used conjointly the behavioral method (Reaction Times and error rates) and the electrophysiological method (recording of the changes in brain electrical activity time-locked to stimulus presentation, Event-Related brain Potentials or ERPs). A set of common processes may be responsible for pitch processing in music and in speech and these processes are shaped by musical practice. These data add evidence in favor of brain plasticity and open interesting perspectives for the remediation of dyslexia using musical training.

  16. CERN Technical Training 2003: Learning for the LHC ! DISP-2003  -  Digital Signal Processing

    CERN Multimedia

    2003-01-01

    DISP-2003 is a two-term course given by CERN and University of Lausanne (UNIL) experts within the framework of the Technical Training Programme. The course will review the current techniques dealing with Digital Signal Processing. The DISP-2003 lecture series is composed of two Terms, and it is intended for an audience who work or will work on digital signal processing aspects, and who need an introductory or refresher/update course. The course will be in English, with questions and answers also in French. Spring 1 Term: DISP-2003: Introduction to Digital Signal Processing 20 February 2003 - 3 April 2003, 7 lectures, Thursdays (attendance cost: 70.- CHF, registration required) Lecturers: Maria Elena Angoletta, AB-BDI; Guy Baribaud, AB-BDI; Philippe Baudrenghien, AB-RF; Laurent Deniau, AT-MTM Programme: 'Classical' digital signal processing. Fourier analysis. The Laplace transform. The z-transform. Digital filters. Statistics for Signal Processing. Signal Estimation and Spectral Analysis. Spring 2 T...

  17. Evaluation of Sentinel-3 SAR Performance over Arctic Sea Ice

    Science.gov (United States)

    Di Bella, A.; Simonsen, S.; Skourup, H.; Sandberg Sorensen, L.; Forsberg, R.

    2016-12-01

    Sea ice is a fundamental component of the Earth climate system since it influences directly the albedo of our planet and regulates the heat exchange between the atmosphere and the ocean. Global weather patterns and climate are therefore strictly connected to the presence and properties of sea ice which represents an important element in short- and long-term climate modelling. The launch of the EC/ESA's Sentinel-3 mission offers the opportunity to prolong the observation of sea ice topography and dynamics as well as it provides essential near real-time information for ocean and weather forecasting. In particular, the SAR radar altimeter (SRAL) carried on board of this satellite enables to estimate sea ice thickness in ice-covered areas by measuring directly the sea ice freeboard. This work evaluates Sentinel-3 SAR performance over Arctic sea ice using laser altimetry data collected during a Sentinel-3 underflight - the first with the SRAL instrument operating in SAR mode - performed as a part of the CryoVEx 2016 campaign. Snow freeboard heights derived from airborne laser scanner measurements are used to validate the sea ice freeboard obtained by processing Sentinel-3 SAR level 1b waveforms. We present the results of the freeboard comparison from a statistical point of view.

  18. UTILIZING SAR AND MULTISPECTRAL INTEGRATED DATA FOR EMERGENCY RESPONSE

    Directory of Open Access Journals (Sweden)

    S. Havivi

    2016-06-01

    Full Text Available Satellite images are used widely in the risk cycle to understand the exposure, refine hazard maps and quickly provide an assessment after a natural or man-made disaster. Though there are different types of satellite images (e.g. optical, radar these have not been combined for risk assessments. The characteristics of different remote sensing data type may be extremely valuable for monitoring and evaluating the impacts of disaster events, to extract additional information thus making it available for emergency situations. To base this approach, two different change detection methods, for two different sensor's data were used: Coherence Change Detection (CCD for SAR data and Covariance Equalization (CE for multispectral imagery. The CCD provides an identification of the stability of an area, and shows where changes have occurred. CCD shows subtle changes with an accuracy of several millimetres to centimetres. The CE method overcomes the atmospheric effects differences between two multispectral images, taken at different times. Therefore, areas that had undergone a major change can be detected. To achieve our goals, we focused on the urban areas affected by the tsunami event in Sendai, Japan that occurred on March 11, 2011 which affected the surrounding area, coastline and inland. High resolution TerraSAR-X (TSX and Landsat 7 images, covering the research area, were acquired for the period before and after the event. All pre-processed and processed according to each sensor. Both results, of the optical and SAR algorithms, were combined by resampling the spatial resolution of the Multispectral data to the SAR resolution. This was applied by spatial linear interpolation. A score representing the damage level in both products was assigned. The results of both algorithms, high level of damage is shown in the areas closer to the sea and shoreline. Our approach, combining SAR and multispectral images, leads to more reliable information and provides a

  19. Utilizing SAR and Multispectral Integrated Data for Emergency Response

    Science.gov (United States)

    Havivi, S.; Schvartzman, I.; Maman, S.; Marinoni, A.; Gamba, P.; Rotman, S. R.; Blumberg, D. G.

    2016-06-01

    Satellite images are used widely in the risk cycle to understand the exposure, refine hazard maps and quickly provide an assessment after a natural or man-made disaster. Though there are different types of satellite images (e.g. optical, radar) these have not been combined for risk assessments. The characteristics of different remote sensing data type may be extremely valuable for monitoring and evaluating the impacts of disaster events, to extract additional information thus making it available for emergency situations. To base this approach, two different change detection methods, for two different sensor's data were used: Coherence Change Detection (CCD) for SAR data and Covariance Equalization (CE) for multispectral imagery. The CCD provides an identification of the stability of an area, and shows where changes have occurred. CCD shows subtle changes with an accuracy of several millimetres to centimetres. The CE method overcomes the atmospheric effects differences between two multispectral images, taken at different times. Therefore, areas that had undergone a major change can be detected. To achieve our goals, we focused on the urban areas affected by the tsunami event in Sendai, Japan that occurred on March 11, 2011 which affected the surrounding area, coastline and inland. High resolution TerraSAR-X (TSX) and Landsat 7 images, covering the research area, were acquired for the period before and after the event. All pre-processed and processed according to each sensor. Both results, of the optical and SAR algorithms, were combined by resampling the spatial resolution of the Multispectral data to the SAR resolution. This was applied by spatial linear interpolation. A score representing the damage level in both products was assigned. The results of both algorithms, high level of damage is shown in the areas closer to the sea and shoreline. Our approach, combining SAR and multispectral images, leads to more reliable information and provides a complete scene for

  20. Bag-of-visual-words based feature extraction for SAR target classification

    Science.gov (United States)

    Amrani, Moussa; Chaib, Souleyman; Omara, Ibrahim; Jiang, Feng

    2017-07-01

    Feature extraction plays a key role in the classification performance of synthetic aperture radar automatic target recognition (SAR-ATR). It is very crucial to choose appropriate features to train a classifier, which is prerequisite. Inspired by the great success of Bag-of-Visual-Words (BoVW), we address the problem of feature extraction by proposing a novel feature extraction method for SAR target classification. First, Gabor based features are adopted to extract features from the training SAR images. Second, a discriminative codebook is generated using K-means clustering algorithm. Third, after feature encoding by computing the closest Euclidian distance, the targets are represented by new robust bag of features. Finally, for target classification, support vector machine (SVM) is used as a baseline classifier. Experiments on Moving and Stationary Target Acquisition and Recognition (MSTAR) public release dataset are conducted, and the classification accuracy and time complexity results demonstrate that the proposed method outperforms the state-of-the-art methods.

  1. Auditory Training Effects on the Listening Skills of Children With Auditory Processing Disorder.

    Science.gov (United States)

    Loo, Jenny Hooi Yin; Rosen, Stuart; Bamiou, Doris-Eva

    2016-01-01

    Children with auditory processing disorder (APD) typically present with "listening difficulties,"' including problems understanding speech in noisy environments. The authors examined, in a group of such children, whether a 12-week computer-based auditory training program with speech material improved the perception of speech-in-noise test performance, and functional listening skills as assessed by parental and teacher listening and communication questionnaires. The authors hypothesized that after the intervention, (1) trained children would show greater improvements in speech-in-noise perception than untrained controls; (2) this improvement would correlate with improvements in observer-rated behaviors; and (3) the improvement would be maintained for at least 3 months after the end of training. This was a prospective randomized controlled trial of 39 children with normal nonverbal intelligence, ages 7 to 11 years, all diagnosed with APD. This diagnosis required a normal pure-tone audiogram and deficits in at least two clinical auditory processing tests. The APD children were randomly assigned to (1) a control group that received only the current standard treatment for children diagnosed with APD, employing various listening/educational strategies at school (N = 19); or (2) an intervention group that undertook a 3-month 5-day/week computer-based auditory training program at home, consisting of a wide variety of speech-based listening tasks with competing sounds, in addition to the current standard treatment. All 39 children were assessed for language and cognitive skills at baseline and on three outcome measures at baseline and immediate postintervention. Outcome measures were repeated 3 months postintervention in the intervention group only, to assess the sustainability of treatment effects. The outcome measures were (1) the mean speech reception threshold obtained from the four subtests of the listening in specialized noise test that assesses sentence perception in

  2. Susceptibility of optimal train schedules to stochastic disturbances of process times

    DEFF Research Database (Denmark)

    Larsen, Rune; Pranzo, Marco; D’Ariano, Andrea

    2013-01-01

    study, an advanced branch and bound algorithm, on average, outperforms a First In First Out scheduling rule both in deterministic and stochastic traffic scenarios. However, the characteristic of the stochastic processes and the way a stochastic instance is handled turn out to have a serious impact......This work focuses on the stochastic evaluation of train schedules computed by a microscopic scheduler of railway operations based on deterministic information. The research question is to assess the degree of sensitivity of various rescheduling algorithms to variations in process times (running...... on the scheduler performance. © 2013 Springer Science+Business Media New York....

  3. Web-based training course for evaluating radiological dose assessment in NRC's license termination process.

    Science.gov (United States)

    Lepoire, D; Richmond, P; Cheng, J-J; Kamboj, S; Arnish, J; Chen, S Y; Barr, C; McKenney, C

    2008-08-01

    As part of the requirement for terminating the licenses of nuclear power plants or other nuclear facilities, license termination plans or decommissioning plans are submitted by the licensee to the U.S. Nuclear Regulatory Commission (NRC) for review and approval. Decommissioning plans generally refer to the decommissioning of nonreactor facilities, while license termination plans specifically refer to the decommissioning of nuclear reactor facilities. To provide a uniform and consistent review of dose modeling aspects of these plans and to address NRC-wide knowledge management issues, the NRC, in 2006, commissioned Argonne National Laboratory to develop a Web-based training course on reviewing radiological dose assessments for license termination. The course, which had first been developed in 2005 to target specific aspects of the review processes for license termination plans and decommissioning plans, evolved from a live classroom course into a Web-based training course in 2006. The objective of the Web-based training course is to train NRC staff members (who have various relevant job functions and are located at headquarters, regional offices, and site locations) to conduct an effective review of dose modeling in accordance with the latest NRC guidance, including NUREG-1757, Volumes 1 and 2. The exact size of the staff population who will receive the training has not yet been accurately determined but will depend on various factors such as the decommissioning activities at the NRC. This Web-based training course is designed to give NRC staff members modern, flexible access to training. To this end, the course is divided into 16 modules: 9 core modules that deal with basic topics, and 7 advanced modules that deal with complex issues or job-specific topics. The core and advanced modules are tailored to various NRC staff members with different job functions. The Web-based system uses the commercially available software Articulate, which incorporates audio, video

  4. [Assessment of the efficiency of the auditory training in children with dyslalia and auditory processing disorders].

    Science.gov (United States)

    Włodarczyk, Elżbieta; Szkiełkowska, Agata; Skarżyński, Henryk; Piłka, Adam

    2011-01-01

    To assess effectiveness of the auditory training in children with dyslalia and central auditory processing disorders. Material consisted of 50 children aged 7-9-years-old. Children with articulation disorders stayed under long-term speech therapy care in the Auditory and Phoniatrics Clinic. All children were examined by a laryngologist and a phoniatrician. Assessment included tonal and impedance audiometry and speech therapists' and psychologist's consultations. Additionally, a set of electrophysiological examinations was performed - registration of N2, P2, N2, P2, P300 waves and psychoacoustic test of central auditory functions: FPT - frequency pattern test. Next children took part in the regular auditory training and attended speech therapy. Speech assessment followed treatment and therapy, again psychoacoustic tests were performed and P300 cortical potentials were recorded. After that statistical analyses were performed. Analyses revealed that application of auditory training in patients with dyslalia and other central auditory disorders is very efficient. Auditory training may be a very efficient therapy supporting speech therapy in children suffering from dyslalia coexisting with articulation and central auditory disorders and in children with educational problems of audiogenic origin. Copyright © 2011 Polish Otolaryngology Society. Published by Elsevier Urban & Partner (Poland). All rights reserved.

  5. Development and process evaluation of a Web-based responsible beverage service training program.

    Science.gov (United States)

    Danaher, Brian G; Dresser, Jack; Shaw, Tracy; Severson, Herbert H; Tyler, Milagra S; Maxwell, Elisabeth D; Christiansen, Steve M

    2012-09-22

    Responsible beverage service (RBS) training designed to improve the appropriate service of alcohol in commercial establishments is typically delivered in workshops. Recently, Web-based RBS training programs have emerged. This report describes the formative development and subsequent design of an innovative Web-delivered RBS program, and evaluation of the impact of the program on servers' knowledge, attitudes, and self-efficacy. Formative procedures using focus groups and usability testing were used to develop a Web-based RBS training program. Professional alcohol servers (N = 112) who worked as servers and/or mangers in alcohol service settings were recruited to participate. A pre-post assessment design was used to assess changes associated with using the program. Participants who used the program showed significant improvements in their RBS knowledge, attitudes, and self-efficacy. Although the current study did not directly observe and determine impact of the intervention on server behaviors, it demonstrated that the development process incorporating input from a multidisciplinary team in conjunction with feedback from end-users resulted in creation of a Web-based RBS program that was well-received by servers and that changed relevant knowledge, attitudes, and self-efficacy. The results also help to establish a needed evidence base in support of the use of online RBS training, which has been afforded little research attention.

  6. Click trains and the rate of information processing: does "speeding up" subjective time make other psychological processes run faster?

    Science.gov (United States)

    Jones, Luke A; Allely, Clare S; Wearden, John H

    2011-02-01

    A series of experiments demonstrated that a 5-s train of clicks that have been shown in previous studies to increase the subjective duration of tones they precede (in a manner consistent with "speeding up" timing processes) could also have an effect on information-processing rate. Experiments used studies of simple and choice reaction time (Experiment 1), or mental arithmetic (Experiment 2). In general, preceding trials by clicks made response times significantly shorter than those for trials without clicks, but white noise had no effects on response times. Experiments 3 and 4 investigated the effects of clicks on performance on memory tasks, using variants of two classic experiments of cognitive psychology: Sperling's (1960) iconic memory task and Loftus, Johnson, and Shimamura's (1985) iconic masking task. In both experiments participants were able to recall or recognize significantly more information from stimuli preceded by clicks than those preceded by silence.

  7. Cortical and subcortical processing of short duration speech stimuli in trained rock musicians: a pilot study.

    Science.gov (United States)

    Kumar, Prawin; Anil, Sam Publius; Grover, Vibhu; Sanju, Himanshu Kumar; Sinha, Sachchidanand

    2017-02-01

    Most trained musicians are actively involved in rigorous practice from several years to achieve a high level of proficiency. Therefore, musicians are best group to research changes or modification in brain structures and functions across several information processing systems. This study aimed to investigate cortical and subcortical processing of short duration speech stimuli in trained rock musicians and non-musicians. Two groups of participant (experimental and control groups) in the age range of 18-25 years were selected for the study. Experimental group includes 15 rock musicians who had minimum professional training of 5 years of rock music, and each member had to be a regular performer of rock music for at least 15 h a week. Further age-matched 15 participants who were not having any formal training of any music served as non-musicians, in the control group. The speech-evoked ABR (S-ABR) and speech-evoked ALLR (S-LLR) with short duration speech 'synthetic /da/' was elicited in both groups. Different measures were analyzed for S-ABR and S-LLR. For S-ABR, MANOVA revealed significant main effect of groups on latencies of wave V, wave A, and amplitude of wave V/A slope. Similarly, Kruskal-Wallis test showed significantly higher F 0 amplitude in rock musicians compared with non-musicians. For S-LLR, MANOVA showed statistically significant differences observed for latencies of wave P2 and N2 and amplitude measures of P2-N2 amplitude. This study indicated better neural processing of short duration speech stimuli at subcortical as well as cortical level among rock musicians when compared with non-musicians.

  8. Music training enhances the automatic neural processing of foreign speech sounds.

    Science.gov (United States)

    Intartaglia, Bastien; White-Schwoch, Travis; Kraus, Nina; Schön, Daniele

    2017-10-03

    Growing evidence shows that music and language experience affect the neural processing of speech sounds throughout the auditory system. Recent work mainly focused on the benefits induced by musical practice on the processing of native language or tonal foreign language, which rely on pitch processing. The aim of the present study was to take this research a step further by investigating the effect of music training on processing English sounds by foreign listeners. We recorded subcortical electrophysiological responses to an English syllable in three groups of participants: native speakers, non-native nonmusicians, and non-native musicians. Native speakers had enhanced neural processing of the formant frequencies of speech, compared to non-native nonmusicians, suggesting that automatic encoding of these relevant speech cues are sensitive to language experience. Most strikingly, in non-native musicians, neural responses to the formant frequencies did not differ from those of native speakers, suggesting that musical training may compensate for the lack of language experience by strengthening the neural encoding of important acoustic information. Language and music experience seem to induce a selective sensory gain along acoustic dimensions that are functionally-relevant-here, formant frequencies that are crucial for phoneme discrimination.

  9. Delta-proteobacterial SAR324 group in hydrothermal plumes on the South Mid-Atlantic Ridge

    Science.gov (United States)

    Cao, Huiluo; Dong, Chunming; Bougouffa, Salim; Li, Jiangtao; Zhang, Weipeng; Shao, Zongze; Bajic, Vladimir B.; Qian, Pei-Yuan

    2016-03-01

    In the dark ocean, the SAR324 group of Delta-proteobacteria has been associated with a chemolithotrophic lifestyle. However, their electron transport chain for energy generation and information system has not yet been well characterized. In the present study, four SAR324 draft genomes were extracted from metagenomes sampled from hydrothermal plumes in the South Mid-Atlantic Ridge. We describe novel electron transport chain components in the SAR324 group, particularly the alternative complex III, which is involved in energy generation. Moreover, we propose that the C-type cytochrome, for example the C553, may play a novel role in electron transfer, adding to our knowledge regarding the energy generation process in the SAR324 cluster. The central carbon metabolism in the described SAR324 genomes exhibits several new features other than methanotrophy e.g. aromatic compound degradation. This suggests that methane oxidation may not be the main central carbon metabolism component in SAR324 cluster bacteria. The reductive acetyl-CoA pathway may potentially be essential in carbon fixation due to the absence of components from the Calvin-Benson cycle. Our study provides insight into the role of recombination events in shaping the genome of the SAR324 group based on a larger number of repeat regions observed, which has been overlooked thus far.

  10. Delta-proteobacterial SAR324 group in hydrothermal plumes on the South Mid-Atlantic Ridge

    KAUST Repository

    Cao, Huiluo

    2016-03-08

    In the dark ocean, the SAR324 group of Delta-proteobacteria has been associated with a chemolithotrophic lifestyle. However, their electron transport chain for energy generation and information system has not yet been well characterized. In the present study, four SAR324 draft genomes were extracted from metagenomes sampled from hydrothermal plumes in the South Mid-Atlantic Ridge. We describe novel electron transport chain components in the SAR324 group, particularly the alternative complex III, which is involved in energy generation. Moreover, we propose that the C-type cytochrome, for example the C553, may play a novel role in electron transfer, adding to our knowledge regarding the energy generation process in the SAR324 cluster. The central carbon metabolism in the described SAR324 genomes exhibits several new features other than methanotrophy e.g. aromatic compound degradation. This suggests that methane oxidation may not be the main central carbon metabolism component in SAR324 cluster bacteria. The reductive acetyl-CoA pathway may potentially be essential in carbon fixation due to the absence of components from the Calvin-Benson cycle. Our study provides insight into the role of recombination events in shaping the genome of the SAR324 group based on a larger number of repeat regions observed, which has been overlooked thus far.

  11. X-SAR: The X-band synthetic aperture radar on board the Space Shuttle

    Science.gov (United States)

    Werner, Marian U.

    1993-01-01

    The X-band synthetic aperture radar (X-SAR) is the German/Italian contribution to the NASA/JPL Shuttle Radar Lab missions as part of the preparation for the Earth Observation System (EOS) program. The Shuttle Radar Lab is a combination of several radars: an L-band (1.2 GHz) and a C-band (5.3 GHz) multipolarization SAR known as SIR-C (Shuttle Imaging Radar); and an X-band (9.6 GHz) vertically polarized SAR which will be operated synchronously over the same target areas to deliver calibrated multifrequency and multipolarization SAR data at multiple incidence angles from space. A joint German/Italian project office at DARA (German Space Agency) is responsible for the management of the X-SAR project. The space hardware has been developed and manufactured under industrial contract by Dornier and Alenia Spazio. Besides supporting all the technical and scientific tasks, DLR, in cooperation with ASI (Agencia Spaziale Italiano) is responsible for mission operation, calibration, and high precision SAR processing. In addition, DLR developed an airborne X-band SAR to support the experimenters with campaigns to prepare for the missions. The main advantage of adding a shorter wavelength (3 cm) radar to the SIR-C radars is the X-band radar's weaker penetration into vegetation and soil and its high sensitivity to surface roughness and associated phenomena. The performance of each of the three radars is comparable with respect to radiometric and geometric resolution.

  12. SPACEBORNE SAR IMAGERY STEREO POSITIONING BASED ON RANGE-COPLANARITY EQUATION

    Directory of Open Access Journals (Sweden)

    C. Q. Cheng

    2012-08-01

    Full Text Available Stereo positioning is a important content for Spaceborne SAR imagery mapping, which is still lack of investigation depend on exterior orientation elements. In this paper, we firstly introduced the Range-Coplanarity (R-Cp geometric imaging equation and its character for radar imagery, compared the difference and relationship between R-Cp and R-D model, and build stereo positioning rigorous model for spaceborne SAR imagery based on the R-Cp equation, satellite orbit, and pose refinement model. Then separate taking TerraSAR-X images in mountainous terrain observed from same and opposite side-looking direction as test data, we presented the initial attitude value acquirement method for TerraSAR-X image after moving compensation, analyzed stereo positioning precision according to amounts and spatial distributions of GCPs and lengths of baseline between SAR antennas, and also compared the precision with R-D model. the proposed stereo positioning model avoids SAR signal imaging parameters during the geometric processing, with one GCP it could improved the plan and height precision from (17.9m,29.2m to (10.3m,6.1m in the test of opposite side-looking direction images, and even had a better accuracy than R-D model when more GCPs were used, which indicate that R-Cp model have a potential application in spaceborne SAR image stereo positioning.

  13. Sentinel-3 SAR Altimetry Toolbox - Scientific Exploitation of Operational Missions (SEOM) Program Element

    Science.gov (United States)

    Benveniste, Jérôme; Lucas, Bruno; Dinardo, Salvatore

    2014-05-01

    The prime objective of the SEOM (Scientific Exploitation of Operational Missions) element is to federate, support and expand the large international research community that the ERS, ENVISAT and the Envelope programmes have build up over the last 20 years for the future European operational Earth Observation missions, the Sentinels. Sentinel-3 builds directly on a proven heritage pioneered by ERS-1, ERS-2, Envisat and CryoSat-2, with a dual-frequency (Ku and C band) advanced Synthetic Aperture Radar Altimeter (SRAL) that provides measurements at a resolution of ~300m in SAR mode along track. Sentinel-3 will provide exact measurements of sea-surface height along with accurate topography measurements over sea ice, ice sheets, rivers and lakes. The first of the Sentinel-3 series is planned for launch in early 2015. The current universal altimetry toolbox is BRAT (Basic Radar Altimetry Toolbox) which can read all previous and current altimetry mission's data, but it does not have the capabilities to read the upcoming Sentinel-3 L1 and L2 products. ESA will endeavour to develop and supply this capability to support the users of the future Sentinel-3 SAR Altimetry Mission. BRAT is a collection of tools and tutorial documents designed to facilitate the processing of radar altimetry data. This project started in 2005 from the joint efforts of ESA (European Space Agency) and CNES (Centre National d'Etudes Spatiales, the French Space Agency), and it is freely available at http://earth.esa.int/brat. The tools enable users to interact with the most common altimetry data formats, the BratGUI is the front-end for the powerful command line tools that are part of the BRAT suite. BRAT can also be used in conjunction with Matlab/IDL (via reading routines) or in C/C++/Fortran via a programming API, allowing the user to obtain desired data, bypassing the data-formatting hassle. BRAT can be used simply to visualise data quickly, or to translate the data into other formats such as net

  14. 3D Imaging Algorithm for Down-Looking MIMO Array SAR Based on Bayesian Compressive Sensing

    Directory of Open Access Journals (Sweden)

    Xiaozhen Ren

    2014-01-01

    Full Text Available Down-looking MIMO array SAR can reconstruct 3D images of the observed area in the inferior of the platform of the SAR and has wide application prospects. In this paper, a new strategy based on Bayesian compressive sensing theory is proposed for down-looking MIMO array SAR imaging, which transforms the cross-track imaging process of down-looking MIMO array SAR into the problem of sparse signal reconstruction from noisy measurements. Due to account for additive noise encountered in the measurement process, high quality image can be achieved. Simulation results indicate that the proposed method can provide better resolution and lower sidelobes compared to the conventional method.

  15. SARS and the Academic Health Sector.

    Science.gov (United States)

    Gray, Jean

    2005-02-01

    SARS illustrated the vulnerability of the entire country to the importation of new organisms and other unexpected health crises. As the federal government assumes a leadership role in developing programs and policies affecting the security of Canada, so, too, should it assume a leadership role in public health matters, especially in an era of possible bioterrorism. The essential needs of such a system include: * A real-time inventory of research and response capacity to include the academic, industry, and government communities that could respond to a major health crisis in the future. * Research platforms in place across the country such as appropriately secure animal care facilities, biobanks, and other technologies necessary to immediately address research issues arising from such a crisis. * Coordinated processes to move appropriate people and resources into place when a health crisis requires such action. * Financial contingency funds that can be mobilized on relatively short notice to respond to the needs of altered patient care patterns and research.

  16. Space Radar Image of West Texas - SAR scan

    Science.gov (United States)

    1999-01-01

    This radar image of the Midland/Odessa region of West Texas, demonstrates an experimental technique, called ScanSAR, that allows scientists to rapidly image large areas of the Earth's surface. The large image covers an area 245 kilometers by 225 kilometers (152 miles by 139 miles). It was obtained by the Spaceborne Imaging Radar-C/X-Band Synthetic Aperture Radar (SIR-C/X-SAR) flying aboard the space shuttle Endeavour on October 5, 1994. The smaller inset image is a standard SIR-C image showing a portion of the same area, 100 kilometers by 57 kilometers (62 miles by 35 miles) and was taken during the first flight of SIR-C on April 14, 1994. The bright spots on the right side of the image are the cities of Odessa (left) and Midland (right), Texas. The Pecos River runs from the top center to the bottom center of the image. Along the left side of the image are, from top to bottom, parts of the Guadalupe, Davis and Santiago Mountains. North is toward the upper right. Unlike conventional radar imaging, in which a radar continuously illuminates a single ground swath as the space shuttle passes over the terrain, a Scansar radar illuminates several adjacent ground swaths almost simultaneously, by 'scanning' the radar beam across a large area in a rapid sequence. The adjacent swaths, typically about 50 km (31 miles) wide, are then merged during ground processing to produce a single large scene. Illumination for this L-band scene is from the top of the image. The beams were scanned from the top of the scene to the bottom, as the shuttle flew from left to right. This scene was acquired in about 30 seconds. A normal SIR-C image is acquired in about 13 seconds. The ScanSAR mode will likely be used on future radar sensors to construct regional and possibly global radar images and topographic maps. The ScanSAR processor is being designed for 1996 implementation at NASA's Alaska SAR Facility, located at the University of Alaska Fairbanks, and will produce digital images from the

  17. Online training introduces a novel approach to the Dietetic Care Process documentation.

    Science.gov (United States)

    Rachman-Elbaum, Shelly; Stark, Aliza H; Kachal, Josefa; Johnson, Teresa; Porat-Katz, Bat Sheva

    2017-09-01

    Nutrition professionals in Israel are developing a system to document the Dietetic Care Process (DCP) tailored for specific patient sectors and compliant with national health guidelines. The ultimate goal is to achieve uniform documentation and improve nutrition care. Israeli dietetic practitioners work in specific patient sectors; therefore, a patient population-specific reporting system is proposed instead of the typical singular format applied across all patient populations. The purpose of this project was to evaluate learning outcomes and attitudes among registered dietitians (RDs) after online training of a novel DCP documentation system. A total of 80 Israeli RDs working in geriatric practice completed an eight-week online educational program learning documentation that is compatible for use with electronic health records and compliant with Israeli standards of practice. A paired sample t-test and McNemar test were used to analyse pre- to post-test performance, while Pearson's r, point-biserial, Spearman's and ANOVA were used to assess relationships among variables. Post-test knowledge scores increased significantly, t (67)  = -9.007, P = 0.000; 95% CI (-26.713, -17.019). Age, education, geographic location and previous experience with online courses were not correlated with academic performance, suggesting that demographic characteristics did not impact training. Overall, RDs (>80%) responded positively to the training model and were highly interested in future proficiency online learning opportunities (98%). A sectoral DCP online training program significantly improved knowledge and was rated favourably by Israeli RDs. DCP training for clinical practitioners may be optimised when standardised nutrition care and reporting systems are adapted to specific patient populations. © 2017 Dietitians Association of Australia.

  18. The Effects of Inquiry Training Assist Media of Handout and Attitude Scientific Towards Science Process Skills in Physics Students

    OpenAIRE

    Sakdiah, Halimatus; Sahyar ,

    2014-01-01

    The purpose of this research has described difference: (1) skill of student science process between inquiry training assist media of handout and direct instruction, (2) skill of student science process between student possess attitude scientific upon and under of mean, and (3) interaction of inquiry training assist media handout and direct instruction with attitude scientific increase skill of student science process. Type of this research is experiment quasi, use student of senior high schoo...

  19. Resource approach in providing health-saving process of future teachers training

    Directory of Open Access Journals (Sweden)

    Mykytiuk S.A.

    2012-02-01

    Full Text Available The article reveals the mechanisms of resource approach realization in the organization of pedagogical education. There were defined the ways of providing health-saving teacher training, namely: assessment criteria of adjustment of social order and personal professional development needs, means of implementing the tasks of pedagogical education concept according to the resource approach. In this article the author concretized methods of preserving and strengthening the spiritual health of future teachers in the process of professional training. On the basis of analysis of editions of the home and foreign authors sanctified to the problems of health of young people, it is exposed, that the problem of health of student young people can be considered in the context of exposure of values of health in the field of thinking of students, and also descriptions of their life in the modern terms of maintenance of human capitals.

  20. Genesis of training and education as a unified process of identity formation

    Directory of Open Access Journals (Sweden)

    V.N. Novikov

    2014-08-01

    Full Text Available We analyze the origin, formation and current state of the main approaches to address the unity of training and education in educztional science and practice in Russia. We reveal the mechanism of their implementation, as reflected in the works of well-known domestic educators and psychologists in relation to specific stages in the development of society and the inherent economic, political and social conditions. Based on the priorities of preparing graduates for professional psycho-pedagogical activities, and taking into account the content of the competence model of modern specialist, we discuss actual problems of ensuring the uniformity of training and educating of students as a powerful factor of increasing the efficiency of the educational process at the university.

  1. The process of the Community Psychologist training: Experiences in the Community Psychology nucleus (NUCOM).

    Science.gov (United States)

    Moura, James Ferreira; Brito da Silva, Lorena; Cidade, Elívia Camurça; Braga, Alana Alencar; Ximenes, Verônica Morais

    2016-01-01

    This article presents the Community Psychology training concept created at the Community Psychology Nucleus (NUCOM), Federal University of Ceará (Brazil); mainly composed of university extension processes and their theoretical-methodological bases. Thus, university extension/cooperation emerges as a space to build new knowledge based on a cooperative perspective opposed to traditional anti-dialogical and hegemonic mechanisms. By evidencing the unabridged training of NUCOM's graduate students, we seek to provide elements that will enable the comprehension of the learning concept present in daily relations constructed in extension activities. We also plan to socialize a way of thinking Community Psychology performance, whose reference is the people, with their needs and potentials, emphasizing them as the true subjects of psychological practice.

  2. LAND COVER MAPPING USING SENTINEL-1 SAR DATA

    Directory of Open Access Journals (Sweden)

    S. Abdikan

    2016-06-01

    Full Text Available In this paper, the potential of using free-of-charge Sentinel-1 Synthetic Aperture Radar (SAR imagery for land cover mapping in urban areas is investigated. To this aim, we use dual-pol (VV+VH Interferometric Wide swath mode (IW data collected on September 16th 2015 along descending orbit over Istanbul megacity, Turkey. Data have been calibrated, terrain corrected, and filtered by a 5x5 kernel using gamma map approach. During terrain correction by using a 25m resolution SRTM DEM, SAR data has been resampled resulting into a pixel spacing of 20m. Support Vector Machines (SVM method has been implemented as a supervised pixel based image classification to classify the dataset. During the classification, different scenarios have been applied to find out the performance of Sentinel-1 data. The training and test data have been collected from high resolution image of Google Earth. Different combinations of VV and VH polarizations have been analysed and the resulting classified images have been assessed using overall classification accuracy and Kappa coefficient. Results demonstrate that, combining opportunely dual polarization data, the overall accuracy increases up to 93.28% against 73.85% and 70.74% of using individual polarization VV and VH, respectively. Our preliminary analysis points out that dual polarimetric Sentinel-1SAR data can be effectively exploited for producing accurate land cover maps, with relevant advantages for urban planning and management of large cities.

  3. Classifier ensembles for land cover mapping using multitemporal SAR imagery

    Science.gov (United States)

    Waske, Björn; Braun, Matthias

    SAR data are almost independent from weather conditions, and thus are well suited for mapping of seasonally changing variables such as land cover. In regard to recent and upcoming missions, multitemporal and multi-frequency approaches become even more attractive. In the present study, classifier ensembles (i.e., boosted decision tree and random forests) are applied to multi-temporal C-band SAR data, from different study sites and years. A detailed accuracy assessment shows that classifier ensembles, in particularly random forests, outperform standard approaches like a single decision tree and a conventional maximum likelihood classifier by more than 10% independently from the site and year. They reach up to almost 84% of overall accuracy in rural areas with large plots. Visual interpretation confirms the statistical accuracy assessment and reveals that also typical random noise is considerably reduced. In addition the results demonstrate that random forests are less sensitive to the number of training samples and perform well even with only a small number. Random forests are computationally highly efficient and are hence considered very well suited for land cover classifications of future multifrequency and multitemporal stacks of SAR imagery.

  4. Transfer of Training between Music and Speech: Common Processing, Attention, and Memory.

    Science.gov (United States)

    Besson, Mireille; Chobert, Julie; Marie, Céline

    2011-01-01

    After a brief historical perspective of the relationship between language and music, we review our work on transfer of training from music to speech that aimed at testing the general hypothesis that musicians should be more sensitive than non-musicians to speech sounds. In light of recent results in the literature, we argue that when long-term experience in one domain influences acoustic processing in the other domain, results can be interpreted as common acoustic processing. But when long-term experience in one domain influences the building-up of abstract and specific percepts in another domain, results are taken as evidence for transfer of training effects. Moreover, we also discuss the influence of attention and working memory on transfer effects and we highlight the usefulness of the event-related potentials method to disentangle the different processes that unfold in the course of music and speech perception. Finally, we give an overview of an on-going longitudinal project with children aimed at testing transfer effects from music to different levels and aspects of speech processing.

  5. Transfer of training between music and speech: common processing, attention and memory

    Directory of Open Access Journals (Sweden)

    Mireille eBesson

    2011-05-01

    Full Text Available After a brief historical perspective of the relationship between language and music, we review our work on transfer of training from music to speech that aimed at testing the general hypothesis that musicians should be more sensitive than nonmusicians to speech sounds. In light of recent results in the literature, we argue that when long-term experience in one domain influences acoustic processing in the other domain, results can be interpreted as common acoustic processing. But when long-term experience in one domain influences the building-up of abstract and specific percepts in another domain, results are taken as evidence for transfer of training effects. Moreover, we also discuss the influence of attention and working memory on transfer effects and we highlight the usefulness of the Event-Related Potentials method to disentangle the different processes that unfold in the course of music and speech perception. Finally, we give an overview of an on-going longitudinal project with children aimed at testing transfer effects from music to different levels and aspects of speech processing.

  6. Defining uniform processes for remediation, probation, and termination in residency training

    Directory of Open Access Journals (Sweden)

    Smith, Jessica L.

    2017-01-01

    Full Text Available It is important that residency programs identify trainees who progress appropriately, as well as identify residents who fail to achieve educational milestones as expected so they may be remediated. The process of remediation varies greatly across training programs, due in part to the lack of standardized definitions for good standing, remediation, probation, and termination. The purpose of this educational advancement is to propose a clear remediation framework including definitions, management processes, documentation expectations and appropriate notifications. Informal remediation is initiated when a resident’s performance is deficient in one or more of the outcomes-based milestones established by the Accreditation Council for Graduate Medical Education, but not significant enough to trigger formal remediation. Formal remediation occurs when deficiencies are significant enough to warrant formal documentation because informal remediation failed or because issues are substantial. The process includes documentation in the resident’s file and notification of the graduate medical education office; however, the documentation is not disclosed if the resident successfully remediates. Probation is initiated when a resident is unsuccessful in meeting the terms of formal remediation or if initial problems are significant enough to warrant immediate probation. The process is similar to formal remediation but also includes documentation extending to the final verification of training and employment letters. Termination involves other stakeholders and occurs when a resident is unsuccessful in meeting the terms of probation or if initial problems are significant enough to warrant immediate termination. [West J Emerg Med. 2017;18(1110-113.

  7. A Network Inversion Filter combining GNSS and InSAR for tectonic slip modeling

    OpenAIRE

    Bekaert, D.; Segall, P; Wright, TJ; Hooper, A.

    2016-01-01

    Studies of the earthquake cycle benefit from long-term time-dependent slip modeling, as it can be a powerful means to improve our understanding on the interaction of earthquake cycle processes such as interseismic, coseismic, postseismic, and aseismic slip. Observations from Interferometric Synthetic Aperture Radar (InSAR) allow us to model slip at depth with a higher spatial resolution than when using GNSS alone. While the temporal resolution of InSAR has typically been limited, the recent f...

  8. Sexuality Attitudes Reassessment (SAR): Historical and New Considerations for Measuring Its Effectiveness

    Science.gov (United States)

    Sitron, Justin A.; Dyson, Donald A.

    2009-01-01

    In recent years, leading scholars in the field of sexology have been calling for more professionals who are primarily sexologists rather than professionals in other fields who specialize in sexuality. Such professionals require specialized training that meets their specific needs. The Sexuality Attitude Reassessment (SAR) has been established as a…

  9. SAR/MTI on small airborne platforms

    NARCIS (Netherlands)

    Rossum, W.L. van; Vermeulen, B.C.B.

    2006-01-01

    A small SAR-MTI system is being developed at TNO, aimed at deployment on tactical UAV. The system makes use of modern front-end technology, to provide flexible SAR imaging and MTI modes. Major design goals are 50 kg weight, 500 W power consumption and 50 cm resolution in order to comply with typical

  10. A Simple Model for a SARS Epidemic

    Science.gov (United States)

    Ang, Keng Cheng

    2004-01-01

    In this paper, we examine the use of an ordinary differential equation in modelling the SARS outbreak in Singapore. The model provides an excellent example of using mathematics in a real life situation. The mathematical concepts involved are accessible to students with A level Mathematics backgrounds. Data for the SARS epidemic in Singapore are…

  11. SAR change detection techniques and applications

    NARCIS (Netherlands)

    Dekker, R.J.

    2005-01-01

    ABSTRACT: Change detection, the comparison of remote sensing images from different moments in time, is an important technique in environmental earth observation and security. SAR change detection is useful when weather and light conditions are unfavourable. Five methods of SAR change detection are

  12. Geologic mapping in Greenland with polarimetric SAR

    DEFF Research Database (Denmark)

    Dall, Jørgen; Madsen, Søren Nørvang; Brooks, C. K.

    1995-01-01

    The application of synthetic aperture radar (SAR) for geologic mapping in Greenland is investigated by the Danish Center for Remote Sensing (DCRS) in co-operation with the Danish Lithosphere Centre (DLC). In 1994 a pilot project was conducted in East Greenland. The Danish airborne SAR, EMISAR...

  13. PS-InSAR experiments for the analysis of urban ground deformation using StaMPS

    Science.gov (United States)

    Chendeb El Rai, Marwa; Simonetto, Elisabeth

    2009-09-01

    Many works and European projects have proven the ability of Permanent Scatterers Synthetic Aperture Radar Interferometry (PS-InSAR) to measure the slow deformation of the persistent ground objects with a millimetric precision measurement. Compared to the classical differential SAR Interferometry (DInSAR), PS-InSAR is an approach that estimates several contributions: atmospheric disturbances, orbital errors, deformation signal as well as topographical errors. In this paper, we propose to apply PS-InSAR for the analysis of the ground deformation phenomena in a urban context. For that purpose, the Stanford Method for Permanent Scatterers (StaMPS) is applied using an ERS data archive. StaMPS was developed in Stanford University by Andy Hooper. The advantages to use StaMPS were that it is free and many scripts are already available to process the dataset. In first steps of the processing, differential interferograms are produced using the Delft Object-oriented Radar Interferometric Software (DORIS), developed in Delft University of Technology . Doris is also a free tool. StaMPS method is briefly explained. A first experiment on the city of Paris, France, is presented, especially because PSINSAR and DInSAR results have already been published by several researchers. Therefore, the processing of Nantes (French city) is carried out. Some important results are shown.

  14. Formation of Various Competencies in the Process of Training the Future Music Teachers at the Present Stage

    Science.gov (United States)

    Kovalev, Dmitry A.; Khussainova, Gulzada A.; Balagazova, Svetlana T.; Zhankul, Tamarasar

    2016-01-01

    The article is devoted to professional training of future music teachers. Based on the analysis of domestic and foreign studies, the authors proved the importance of studying this problem and focusing on different pedagogical aspects. The study of this topic in general shows that the process of training the future music teachers has its own…

  15. Training and Appointing Processes of School Leaders in Developed and Developing Countries: How Is the Situation in Turkey?

    Science.gov (United States)

    Saglam, Aycan Çiçek; Geçer, Ali; Bag, Derya

    2017-01-01

    Goal of the study is to compare training and appointing processes of education administrators in developed and developing countries to see similarities and differences and also the situation in Turkey so as to give some suggestion thought to have some positive impacts on training and appointing-related problems of Turkish Education. Within the…

  16. Composite SAR imaging using sequential joint sparsity

    Science.gov (United States)

    Sanders, Toby; Gelb, Anne; Platte, Rodrigo B.

    2017-06-01

    This paper investigates accurate and efficient ℓ1 regularization methods for generating synthetic aperture radar (SAR) images. Although ℓ1 regularization algorithms are already employed in SAR imaging, practical and efficient implementation in terms of real time imaging remain a challenge. Here we demonstrate that fast numerical operators can be used to robustly implement ℓ1 regularization methods that are as or more efficient than traditional approaches such as back projection, while providing superior image quality. In particular, we develop a sequential joint sparsity model for composite SAR imaging which naturally combines the joint sparsity methodology with composite SAR. Our technique, which can be implemented using standard, fractional, or higher order total variation regularization, is able to reduce the effects of speckle and other noisy artifacts with little additional computational cost. Finally we show that generalizing total variation regularization to non-integer and higher orders provides improved flexibility and robustness for SAR imaging.

  17. Technical training seminar: Data Converters and Linear Products for Signal Processing and Control

    CERN Document Server

    Davide Vitè

    2006-01-01

    Monday 23 January 2006 TECHNICAL TRAINING SEMINAR from 14:00 to 17:30, Training Centre Auditorium (bldg. 503) Data Converters and Linear Products for Signal Processing and Control Marco Corsi, William Bright, Olrik Maier, Andrea Huder / TEXAS INSTRUMENTS (US, D, CH) Texas Instruments will present recent technology advances in design and manufacturing of A/D and D/A converters, and of operational amplifiers. 14:00 - 15:30 HIGH SPEED - Technology and the new process BiCom3: High speed ADCs, DACs, operational amplifiers 15:30 - 15:45 coffee 15:45 - 17:15 HIGH PRECISION - Technology and the new process HPA07: High precision ADCs, DACs, operational amplifiers questions, discussion Industrial partners: Robert Medioni, François Caloz Spoerle Electronic, CH-1440 Montagny (VD), Switzerland Phone: + 41 24 447 01 37, email: RMedioni@spoerle.com, http://www.spoerle.com Language: English. Free seminar (no registration). Organiser: Davide Vitè / HR-PMD-ATT / 75141 For more information, visit the Te...

  18. A high precision position sensor design and its signal processing algorithm for a maglev train.

    Science.gov (United States)

    Xue, Song; Long, Zhiqiang; He, Ning; Chang, Wensen

    2012-01-01

    High precision positioning technology for a kind of high speed maglev train with an electromagnetic suspension (EMS) system is studied. At first, the basic structure and functions of the position sensor are introduced and some key techniques to enhance the positioning precision are designed. Then, in order to further improve the positioning signal quality and the fault-tolerant ability of the sensor, a new kind of discrete-time tracking differentiator (TD) is proposed based on nonlinear optimal control theory. This new TD has good filtering and differentiating performances and a small calculation load. It is suitable for real-time signal processing. The stability, convergence property and frequency characteristics of the TD are studied and analyzed thoroughly. The delay constant of the TD is figured out and an effective time delay compensation algorithm is proposed. Based on the TD technology, a filtering process is introduced in to improve the positioning signal waveform when the sensor is under bad working conditions, and a two-sensor switching algorithm is designed to eliminate the positioning errors caused by the joint gaps of the long stator. The effectiveness and stability of the sensor and its signal processing algorithms are proved by the experiments on a test train during a long-term test run.

  19. Efficiency of developing 15–17-year weightlifters’ training process for a one-year macrocycle with the use of various speed and strength training methods

    Directory of Open Access Journals (Sweden)

    Oleksandr Piven

    2017-10-01

    Full Text Available Purpose: developed and experimentally tested the construction of the training process of weightlifters of 15–17 years during a one-year macrocycle with the use of various speed and strength training methods. Material & Methods: to the experiment were attracted 30 young weightlifters at the age of 15–17 years, they all had II and III sports categories. Results: it was found that the athletes of the experimental group who used the unconventional training method, using different training regimes – isokinetic, plyometric, half-dynamic, impact method with speed-strength training, which included jumping with various devices in depth and jumping out, after the experiment, they improved their strengths in the amount of the duathlon by 16,5 kg, and also set their own records in contrast to the control group that trained by the traditional method and improved the power results by 7,2 kg. Conclusion: it is established that the use of non-traditional methods for the development of speed-strength qualities of weightlifters, namely, different training regimes – isokinetic, plyometric, half-dynamic, shock method, contributes to the more efficient development of speed-strength qualities, and, consequently, leads to an increase in sports performance in weightlifting.

  20. Men’s artistic gymnastics: is the use of elastic surfaces systematic in the training process?

    Directory of Open Access Journals (Sweden)

    Marco Antonio Coelho BORTOLETO

    2016-03-01

    Full Text Available Abstract In Artistic Gymnastics, the area (the apparatus represents the most relevant systemic component. Thus, when one strives to comprehend the internal logic of this sport, the gymnast-apparatus relationship warrants special attention. A change in the training paradigm was observed, showing that the use of Elastic Surfaces (ES is an essential resource, due to the contemporary features of this sport, such as the hyper-valorisation of acrobatics and a greater presence of flight elements. Through a case study developed in a men’s artistic gymnastics high-performance gymnasium, this study analysed the use of different ES in the training process. Although coaches recognize the importance of ES in training programs, the record of daily activities showed that this use is still limited to select equipment and is not systematic. Such difficulties are due mainly to the lack of educational programs to the development of certain specific methodologies and the non-existence of national equipment suppliers certified by International Gymnastics Federation.

  1. Training and evaluation of neural networks for multi-variate time series processing

    DEFF Research Database (Denmark)

    Fog, Torben L.; Larsen, Jan; Hansen, Lars Kai

    1995-01-01

    We study the training and generalization for multi-variate time series processing. It is suggested to used a quasi-maximum likelihood approach rather than the standard sum of squared errors, thus taking dependencies among the errors of the individual time series into account. This may lead...... to improved generalization performance. Further, we extend the optimal brain damage pruning technique to the multi-variate case. A key ingredient is an algebraic expression for the generalization ability of a multi-variate model. The variability of the suggested techniques are successfully demonstrated...

  2. Developing competencies and training to enable senior nurses to take on full responsibility for DNACPR processes.

    Science.gov (United States)

    Booth, Michele; Courtnell, Tracey

    2012-04-01

    There is currently great interest and activity around the development of do not attempt cardiopulmonary resuscitation (DNACPR) policies in health and social care. This paper describes how South Central Strategic Health Authority (SHA) in the UK underwent a process of agreeing a competency framework and devising an accompanying training course to enable senior nurses to be decision makers and signatories for DNACPR forms. The competencies that were agreed are presented, along with an exploration of the benefits of nurses completing DNACPR forms, including a costing of apparent financial benefits. With the restructuring of SHAs on the horizon it is important to share practice development in order to avoid duplication of effort.

  3. InSAR Scientific Computing Environment

    Science.gov (United States)

    Rosen, Paul A.; Sacco, Gian Franco; Gurrola, Eric M.; Zabker, Howard A.

    2011-01-01

    This computing environment is the next generation of geodetic image processing technology for repeat-pass Interferometric Synthetic Aperture (InSAR) sensors, identified by the community as a needed capability to provide flexibility and extensibility in reducing measurements from radar satellites and aircraft to new geophysical products. This software allows users of interferometric radar data the flexibility to process from Level 0 to Level 4 products using a variety of algorithms and for a range of available sensors. There are many radar satellites in orbit today delivering to the science community data of unprecedented quantity and quality, making possible large-scale studies in climate research, natural hazards, and the Earth's ecosystem. The proposed DESDynI mission, now under consideration by NASA for launch later in this decade, would provide time series and multiimage measurements that permit 4D models of Earth surface processes so that, for example, climate-induced changes over time would become apparent and quantifiable. This advanced data processing technology, applied to a global data set such as from the proposed DESDynI mission, enables a new class of analyses at time and spatial scales unavailable using current approaches. This software implements an accurate, extensible, and modular processing system designed to realize the full potential of InSAR data from future missions such as the proposed DESDynI, existing radar satellite data, as well as data from the NASA UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar), and other airborne platforms. The processing approach has been re-thought in order to enable multi-scene analysis by adding new algorithms and data interfaces, to permit user-reconfigurable operation and extensibility, and to capitalize on codes already developed by NASA and the science community. The framework incorporates modern programming methods based on recent research, including object-oriented scripts controlling legacy and

  4. Linearity analysis of single-ended SAR ADC with split capacitive DAC

    Science.gov (United States)

    Osipov, Dmitry; Malankin, Evgeny; Shumikhin, Vitaly

    2016-10-01

    This paper proposes the design of a 6-bit single-ended SAR ADC with a variable sampling rate at a maximum achievable speed of 50 MS/s. The SAR ADC utilizes the split capacitor array DAC with a non-conventional split-capacitor value. The influence of switches in the capacitive DAC on the ADC's non-linearity is analysed. According to the fulfilled analysis the recommendations for switches and capacitor array dimensioning are given to provide a minimum differential non-linearity (DNL). At a sampling rate of 50 MS/s, the SAR ADC achieves an ENOB of 5.4 bit at an input signal frequency of 1 MHz and consumes 1.2 mW at a 1.8 V power supply, resulting in an energy efficiency of 568 fJ/conv.-step. The SAR ADC was simulated with parasitics in a standard 180nm CMOS process.

  5. ARF1 and SAR1 GTPases in Endomembrane Trafficking in Plants

    Directory of Open Access Journals (Sweden)

    Birsen Cevher-Keskin

    2013-09-01

    Full Text Available Small GTPases largely control membrane traffic, which is essential for the survival of all eukaryotes. Among the small GTP-binding proteins, ARF1 (ADP-ribosylation factor 1 and SAR1 (Secretion-Associated RAS super family 1 are commonly conserved among all eukaryotes with respect to both their functional and sequential characteristics. The ARF1 and SAR1 GTP-binding proteins are involved in the formation and budding of vesicles throughout plant endomembrane systems. ARF1 has been shown to play a critical role in COPI (Coat Protein Complex I-mediated retrograde trafficking in eukaryotic systems, whereas SAR1 GTPases are involved in intracellular COPII-mediated protein trafficking from the ER to the Golgi apparatus. This review offers a summary of vesicular trafficking with an emphasis on the ARF1 and SAR1 expression patterns at early growth stages and in the de-etiolation process.

  6. IMPLEMENTING INNOVATIVE TECHNOLOGIES OF FUTURE SPECIALISTS’ PERSONAL AND PROFESSIONAL DEVELOPMENT IN THE TRAINING PROCESS

    Directory of Open Access Journals (Sweden)

    Halyna Kovalchuk

    2017-04-01

    Full Text Available The article deals with the problem of implementing innovative technologies of future specialists’ personal and professional development in the training process. The necessity of developing professional and personality-centered education is disclosed in National Doctrine of Education Development. The analysis of studied issue proves that it has various components and manifests that are revealed in the scientists’ works (I. Bekh, A. Heilyk, H. Zborovskyi, T. Parson, V. Bezpalko, V. Bykov, S, Ziazun and others. The aim of the article is to highlight the methodological and methodical approaches to future specialists’ personal and professional development by means of innovative teaching technologies. The article discloses some aspects of implementing technologies of profession-oriented, competence and personality-oriented training of future specialists in higher educational establishments. The special attention is paid to their personal and professional development by means of innovative teaching technologies. The personal dimension is considered to be a leading factor of achieving the main aim of humanistic school – personal self-realization. The role of autonomic learning for achieving didactic goals and future specialists’ self-designing at universities is identified. The methodological approaches (anthropocentric and sociocentric, action-praxeological, axiological, acmeological, productive, integrative, interactive, narrative, which promote implementing professional-oriented, competence and personality-centered technologies of future specialists’ training, are characterized. The conclusion is drawn that educational technologies are the main tools for supporting training quality of future specialists in the field of economics and business; forming their professional competences and professionally significant personal qualities that are the components of humanitarian principles of community development; providing quality of life at the

  7. Monitoring of Oil Exploitation Infrastructure by Combining Unsupervised Pixel-Based Classification of Polarimetric SAR and Object-Based Image Analysis

    Directory of Open Access Journals (Sweden)

    Simon Plank

    2014-12-01

    Full Text Available In developing countries, there is a high correlation between the dependence of oil exports and violent conflicts. Furthermore, even in countries which experienced a peaceful development of their oil industry, land use and environmental issues occur. Therefore, independent monitoring of oil field infrastructure may support problem solving. Earth observation data enables fast monitoring of large areas which allows comparing the real amount of land used by the oil exploitation and the companies’ contractual obligations. The target feature of this monitoring is the infrastructure of the oil exploitation, oil well pads—rectangular features of bare land covering an area of approximately 50–60 m × 100 m. This article presents an automated feature extraction procedure based on the combination of a pixel-based unsupervised classification of polarimetric synthetic aperture radar data (PolSAR and an object-based post-classification. The method is developed and tested using dual-polarimetric TerraSAR-X imagery acquired over the Doba basin in south Chad. The advantages of PolSAR are independence of the cloud coverage (vs. optical imagery and the possibility of detailed land use classification (vs. single-pol SAR. The PolSAR classification uses the polarimetric Wishart probability density function based on the anisotropy/entropy/alpha decomposition. The object-based post-classification refinement, based on properties of the feature targets such as shape and area, increases the user’s accuracy of the methodology by an order of a magnitude. The final achieved user’s and producer’s accuracy is 59%–71% in each case (area based accuracy assessment. Considering only the numbers of correctly/falsely detected oil well pads, the user’s and producer’s accuracies increase to even 74%–89%. In an iterative training procedure the best suited polarimetric speckle filter and processing parameters of the developed feature extraction procedure are

  8. U.S. Marine Corps Communication-Electronics School Training Process: Discrete-Event Simulation and Lean Options

    National Research Council Canada - National Science Library

    Neu, Charles R; Davenport, Jon; Smith, William R

    2007-01-01

    This paper uses discrete-event simulation modeling, inventory-reduction, and process improvement concepts to identify and analyze possibilities for improving the training continuum at the Marine Corps...

  9. InSAR Terrain Mapping Using ICESat Laser Altimetry

    Science.gov (United States)

    Atwood, D.; Guritz, R.; Muskett, R.; Lingle, C.; Sauber, J.

    2006-12-01

    for terrain mapping, we employ ICESat- derived elevations for ground control in the InSAR processing of spaceborne ERS-1 and -2 tandem mission SAR imagery. The ICESat ground control points (gcps) are used in two distinct InSAR processing steps to generate a DEM of the Barrow peninsula: 1.) Selected points are used to perform baseline refinements, which improves the ERS-1,-2 SAR interferograms. This technique represents a substantial improvement over the Alaska National Elevation Data (NED), that otherwise would have been used for this purpose. 2.) The along-track ICESat data are also used as control points in mosaicking multiple InSAR-derived DEMs. The thousands of ICESat gcps yield an InSAR DEM mosaic with an accuracy of -1.11 ± 6.3 m, when compared with a commercial airborne SAR-derived DEM of 0.5 m RMS accuracy. This accuracy easily meets DTED 2 standards and suggests that DEMs derived using only ICESat altimetry for ground control should be expected to meet similar standards in other areas of low terrain relief. This is a critical finding for those interested in developing high accuracy maps outside of the current SRTM DEM coverage, north of 60° and south of 56°.

  10. Multi-Core DSP Based Parallel Architecture for FMCW SAR Real-Time Imaging

    Directory of Open Access Journals (Sweden)

    C. F. Gu

    2015-12-01

    Full Text Available This paper presents an efficient parallel processing architecture using multi-core Digital Signal Processor (DSP to improve the capability of real-time imaging for Frequency Modulated Continuous Wave Synthetic Aperture Radar (FMCW SAR. With the application of the proposed processing architecture, the imaging algorithm is modularized, and each module is efficiently realized by the proposed processing architecture. In each module, the data processing of different cores is executed in parallel, also the data transmission and data processing of each core are synchronously carried out, so that the processing time for SAR imaging is reduced significantly. Specifically, the time of corner turning operation, which is very time-consuming, is ignored under computationally intensive case. The proposed parallel architecture is applied to a compact Ku-band FMCW SAR prototype to achieve real-time imageries with 34 cm x 51 cm (range x azimuth resolution.

  11. SAR data for the analysis of forest features: current Brazilian experiences

    Directory of Open Access Journals (Sweden)

    Fábio Guimarães Gonçalves

    2006-12-01

    Full Text Available This article presents some applications of airborne polarimetric and/or interferometric microwave data to improve the knowledge of forest structures. Three airborne SAR (Synthetic Aperture Radar experiments were done in the Amazon tropical forest: (a to study the spatial distribution of very large trees (VLTs in the primary forest using local maximum filtering and a series of Markov processes; (b to model the estimation of biomass variations in primary and secondary forests; (c to analyze the retrieval of timber volume over selective logging areas. Another experiment (d was to investigate the relation among SAR data and the volumetric configuration in stands of Eucalyptus sp. done by an airborne SAR imaging mission in SE-Brazil. To perform the objectives (b, (c and (d we carry out regression techniques, using variables got from multipolarimetric and/or interferometric SAR attributes and biophysical parameters from the forest cover. All data from the experiments were calibrated radiometrically to extract information during digital processing, besides an exhaustive field survey which was done simultaneously to SAR imaging, to know the physiognomy/structure of forest typology and to support the models produced for each case. The results of this series of experiments show advances at the techniques to treat SAR data, focusing on models of stand architecture and forest stock density. This will be helpful to increase the regional inventory and surveying procedures of forest conversion in the Brazilian territory in the near future.

  12. THE EFFECTS OF INQUIRY TRAINING LEARNING MODEL AND CRITICAL THINGKING ABILITY TOWARD SCIENCE PROCESS SKILLS OF SMA

    Directory of Open Access Journals (Sweden)

    Ferawati Hutapea

    2015-12-01

    Full Text Available The purpose of research are 1. To know are differences in science process skills of students with the applied of inquiry training learning model and direct instruction learning models, 2. To know are differences in science process skills of students who has high critical thinking ability and the  critically low ability, 3. To know the interaction inquiry training learning model and critical thinking ability toward students science process skills. The samples in this research conducted by cluster random sampling and  as many as two class , the first class (X-I as experiment applied Inquiry Training learning model and the second class (X-2 as control class applied Direct Intruction learning model. The instrument used in this research is tests science process skills and critical thinking skills in the form of description and observation sheets science process skills. From these results it can be concluded that: 1 there are differences in students science process skills with applied inquiry training model and direct intruction model, 2 science process skills of students with high critical thinking ability is better than the science process skills of students with the ability to think critically low, and 3 the interaction inquiry training learning model and critical thinking ability toward the science process skills.

  13. Validation of burst overlapping for ALOS-2 PALSAR-2 ScanSAR-ScanSAR interferometry

    Science.gov (United States)

    Natsuaki, Ryo; Motohka, Takeshi; Ohki, Masato; Watanabe, Manabu; Suzuki, Shinichi

    2016-10-01

    The Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) aboard the Advanced Land Observing Satellite- 2 (ALOS-2, "DAICHI-2") is the latest L-band spaceborne synthetic aperture radar (SAR). PALSAR-2 observes the world mainly with 10 m resolution / 70 km swath Stripmap mode and 25 m resolution / 350 km swath ScanSAR mode. The 3-m resolution Stripmap mode is mainly used upon Japan. 350 km ScanSAR observation could detect large scale deformation e.g., the Mw 7.8 Gorkha, Nepal earthquake and its aftershocks in 2015. ALOS-2 ScanSAR is the first one that supports ScanSAR-ScanSAR interferometry in L-band spaceborne SAR. However, because of the parameter setting error for the orbit estimation, ALOS-2 PALSAR-2 ScanSAR could achieve little number of interferometric pair until the software modification on February 8, 2015. That is, the burst overlap timing required for the interferometric analysis was insufficient and it depends on the observation date. In this paper, we report the investigation results of this case and discuss the current status of the ALOS-2 ScanSAR InSAR. Some archives achieved before February 8, 2015 can be used for interferometric analysis with after Feb. 8. However, most of them have no interferometric pair. We also report that the archives acquired after February 8, have enough burst overlapping.

  14. High Resolution TomoSAR & PS-InSAR Analysis in Urban Areas

    Science.gov (United States)

    Wei, Lianhuan; Liao, Mingsheng; Balz, Timo; Liu, Kang; Jendryke, Michael

    2013-01-01

    The surveillance of urban infrastructures is of great importance. Urban infrastructure monitoring benefits from the launch of the new generation of high-resolution SAR satellites. With high-resolution SAR stacks, even deformation details of different building parts can be observed. The PS-InSAR technique has become a favorable tool for urban area subsidence monitoring, and it has been demonstrated that millimeter accuracy can be achieved. However, high-rise building areas suffer severely from layover effects, which can cause serious phase unwrapping errors. SAR tomography provides a method of overcoming layover effects in urban areas. With tomographic techniques, the 3D distribution of multiple scatterers and their position can be reconstructed. In this paper, the PS-InSAR method is briefly described first, followed by PS-InSAR analysis results in Shanghai. Then, we will describe SAR tomography and why we need TomoSAR, especially in dense cities like Shanghai. Finally, preliminary tomographic results about Shanghai are presented. By combining PS-InSAR and TomoSAR, a 4D dynamic mapping of urban areas could be executed.

  15. Mindfulness training alters emotional memory recall compared to active controls: support for an emotional information processing model of mindfulness

    OpenAIRE

    Doug eRoberts-Wolfe; Matthew eSacchet; Elizabeth eHastings; Harold eRoth; Willoughby eBritton

    2012-01-01

    Objectives: While mindfulness-based interventions have received widespread application in both clinical and non-clinical populations, the mechanism by which mindfulness meditation improves well-being remains elusive. One possibility is that mindfulness training alters the processing of emotional information, similar to prevailing cognitive models of depression and anxiety. The aim of this study was to investigating the effects of mindfulness training on emotional information processing (i.e. ...

  16. Mindfulness Training Alters Emotional Memory Recall Compared to Active Controls: Support for an Emotional Information Processing Model of Mindfulness

    OpenAIRE

    Roberts-Wolfe, Douglas; Sacchet, Matthew D.; Hastings, Elizabeth; Roth, Harold; Britton, Willoughby

    2012-01-01

    Objectives: While mindfulness-based interventions have received widespread application in both clinical and non-clinical populations, the mechanism by which mindfulness meditation improves well-being remains elusive. One possibility is that mindfulness training alters the processing of emotional information, similar to prevailing cognitive models of depression and anxiety. The aim of this study was to investigate the effects of mindfulness training on emotional information processing (i.e., m...

  17. Monitoring forest carbon in a Tanzanian woodland using interferometric SAR: a novel methodology for REDD.

    Science.gov (United States)

    Solberg, Svein; Gizachew, Belachew; Næsset, Erik; Gobakken, Terje; Bollandsås, Ole Martin; Mauya, Ernest William; Olsson, Håkan; Malimbwi, Rogers; Zahabu, Eliakimu

    2015-12-01

    REDD+ implementation requires establishment of a system for measuring, reporting and verification (MRV) of forest carbon changes. A challenge for MRV is the lack of satellite based methods that can track not only deforestation, but also degradation and forest growth, as well as a lack of historical data that can serve as a basis for a reference emission level. Working in a miombo woodland in Tanzania, we here aim at demonstrating a novel 3D satellite approach based on interferometric processing of radar imagery (InSAR). Forest carbon changes are derived from changes in the forest canopy height obtained from InSAR, i.e. decreases represent carbon loss from logging and increases represent carbon sequestration through forest growth. We fitted a model of above-ground biomass (AGB) against InSAR height, and used this to convert height changes to biomass and carbon changes. The relationship between AGB and InSAR height was weak, as the individual plots were widely scattered around the model fit. However, we consider the approach to be unique and feasible for large-scale MRV efforts in REDD+ because the low accuracy was attributable partly to small plots and other limitations in the data set, and partly to a random pixel-to-pixel variation in trunk forms. Further processing of the InSAR data provides data on the categories of forest change. The combination of InSAR data from the Shuttle RADAR Topography Mission (SRTM) and the TanDEM-X satellite mission provided both historic baseline of change for the period 2000-2011, as well as annual change 2011-2012. A 3D data set from InSAR is a promising tool for MRV in REDD+. The temporal changes seen by InSAR data corresponded well with, but largely supplemented, the changes derived from Landsat data.

  18. Brain training game boosts executive functions, working memory and processing speed in the young adults: a randomized controlled trial.

    Science.gov (United States)

    Nouchi, Rui; Taki, Yasuyuki; Takeuchi, Hikaru; Hashizume, Hiroshi; Nozawa, Takayuki; Kambara, Toshimune; Sekiguchi, Atsushi; Miyauchi, Carlos Makoto; Kotozaki, Yuka; Nouchi, Haruka; Kawashima, Ryuta

    2013-01-01

    Do brain training games work? The beneficial effects of brain training games are expected to transfer to other cognitive functions. Yet in all honesty, beneficial transfer effects of the commercial brain training games in young adults have little scientific basis. Here we investigated the impact of the brain training game (Brain Age) on a wide range of cognitive functions in young adults. We conducted a double-blind (de facto masking) randomized controlled trial using a popular brain training game (Brain Age) and a popular puzzle game (Tetris). Thirty-two volunteers were recruited through an advertisement in the local newspaper and randomly assigned to either of two game groups (Brain Age, Tetris). Participants in both the Brain Age and the Tetris groups played their game for about 15 minutes per day, at least 5 days per week, for 4 weeks. Measures of the cognitive functions were conducted before and after training. Measures of the cognitive functions fell into eight categories (fluid intelligence, executive function, working memory, short-term memory, attention, processing speed, visual ability, and reading ability). Our results showed that commercial brain training game improves executive functions, working memory, and processing speed in young adults. Moreover, the popular puzzle game can engender improvement attention and visuo-spatial ability compared to playing the brain training game. The present study showed the scientific evidence which the brain training game had the beneficial effects on cognitive functions (executive functions, working memory and processing speed) in the healthy young adults. Our results do not indicate that everyone should play brain training games. However, the commercial brain training game might be a simple and convenient means to improve some cognitive functions. We believe that our findings are highly relevant to applications in educational and clinical fields. UMIN Clinical Trial Registry 000005618.

  19. Brain training game boosts executive functions, working memory and processing speed in the young adults: a randomized controlled trial.

    Directory of Open Access Journals (Sweden)

    Rui Nouchi

    Full Text Available BACKGROUND: Do brain training games work? The beneficial effects of brain training games are expected to transfer to other cognitive functions. Yet in all honesty, beneficial transfer effects of the commercial brain training games in young adults have little scientific basis. Here we investigated the impact of the brain training game (Brain Age on a wide range of cognitive functions in young adults. METHODS: We conducted a double-blind (de facto masking randomized controlled trial using a popular brain training game (Brain Age and a popular puzzle game (Tetris. Thirty-two volunteers were recruited through an advertisement in the local newspaper and randomly assigned to either of two game groups (Brain Age, Tetris. Participants in both the Brain Age and the Tetris groups played their game for about 15 minutes per day, at least 5 days per week, for 4 weeks. Measures of the cognitive functions were conducted before and after training. Measures of the cognitive functions fell into eight categories (fluid intelligence, executive function, working memory, short-term memory, attention, processing speed, visual ability, and reading ability. RESULTS AND DISCUSSION: Our results showed that commercial brain training game improves executive functions, working memory, and processing speed in young adults. Moreover, the popular puzzle game can engender improvement attention and visuo-spatial ability compared to playing the brain training game. The present study showed the scientific evidence which the brain training game had the beneficial effects on cognitive functions (executive functions, working memory and processing speed in the healthy young adults. CONCLUSIONS: Our results do not indicate that everyone should play brain training games. However, the commercial brain training game might be a simple and convenient means to improve some cognitive functions. We believe that our findings are highly relevant to applications in educational and clinical fields

  20. Re-engineering the process of medical imaging physics and technology education and training.

    Science.gov (United States)

    Sprawls, Perry

    2005-09-01

    The extensive availability of digital technology provides an opportunity for enhancing both the effectiveness and efficiency of virtually all functions in the process of medical imaging physics and technology education and training. This includes degree granting academic programs within institutions and a wide spectrum of continuing education lifelong learning activities. Full achievement of the advantages of technology-enhanced education (e-learning, etc.) requires an analysis of specific educational activities with respect to desired outcomes and learning objectives. This is followed by the development of strategies and resources that are based on established educational principles. The impact of contemporary technology comes from its ability to place learners into enriched learning environments. The full advantage of a re-engineered and implemented educational process involves changing attitudes and functions of learning facilitators (teachers) and resource allocation and sharing both within and among institutions.

  1. THE EFFECT OF INQUIRY TRAINING MODEL USE THE MEDIA PHET AGAINST SCIENCE PROCESS SKILLS AND LOGICAL THINKING SKILLS STUDENTS

    Directory of Open Access Journals (Sweden)

    Fajrul Wahdi Ginting

    2015-12-01

    Full Text Available The Purpose of The study: science process skills and logical thinking ability of students who use inquiry learning model training using PhET media; science process skills and logical thinking ability of students who use conventional learning model; and the difference science process skills and logical thinking ability of students to use learning model Inquiry Training using PhET media and conventional learning models. This research is a quasi experimental. Sample selection is done by cluster random sampling are two classes of classes VIII-E and class VIII-B, where the class VIII-E is taught by inquiry training model using media PhET and VIII-B with conventional learning model. The instrument used consisted of tests science process skills such as essay tests and tests of the ability to think logically in the form of multiple-choice tests. The data were analyzed using t test. The results showed that physics science process skills use Inquiry Training models using PhET media is different and showed better results compared with conventional learning model, and logical thinking skills students use Inquiry Training model using PhET media is different and show better results compared with conventional learning, and there is a difference between the ability to think logically and science process skills of students who use Inquiry Training model using PhET media and conventional learning models.

  2. THE EFFECTS OF INQUIRY TRAINING ASSIST MEDIA OF HANDOUT AND ATTITUDE SCIENTIFIC TOWARDS SCIENCE PROCESS SKILLS IN PHYSICS STUDENTS

    Directory of Open Access Journals (Sweden)

    Halimatus Sakdiah

    2014-12-01

    Full Text Available The purpose of this research has described difference: (1 skill of student science process between inquiry training assist media of handout and direct instruction, (2 skill of student science process between student possess attitude scientific upon and under of mean, and (3 interaction of inquiry training assist media handout and direct instruction with attitude scientific increase skill of student science process. Type of this research is experiment quasi, use student of senior high school Private sector of  Prayatna as population and chosen sample by cluster sampling random. The instrument used essay test base on skill of science process which have valid and reliable. Data be analysed by using ANAVA two ways. Result of research show that any difference of skill of student science process (1 between inquiry training assist media of handout and direct instruction, where inquiry training assist media of handout better then direct instruction, (2 between student possess attitude scientific upon and under of mean, where possess attitude scientific upon of mean better then student possess attitude scientific under of mean and (3 any interaction between inquiry training assist media of handout and direct instruction with attitude scientific increase skill of student science process, where interaction in class direct instruction better then inquiry training assist media of handout.

  3. A Process-Oriented Approach to Teaching Religion and Spirituality in Psychiatry Residency Training.

    Science.gov (United States)

    Awaad, Rania; Ali, Sara; Salvador, Melina; Bandstra, Belinda

    2015-12-01

    Although the importance of addressing issues of spirituality and religion is increasingly acknowledged within psychiatry training, many questions remain about how to best teach relevant knowledge, skills, and attitudes. Current literature on curricula highlights the importance of maintaining a clinical focus and the balance between didactic content and process issues. The authors present findings from a program evaluation study of a course on religion, spirituality, and psychiatry that deliberately takes a primarily process-oriented, clinically focused approach. Two six-session courses were offered. The first course targeted fourth-year psychiatry residents and the second targeted third-year psychiatry residents. Teaching sessions consisted of brief didactics combined with extensive process-oriented discussion. A two-person faculty team facilitated the courses. Clinical case discussions were integrated throughout the curriculum. A panel of chaplains was invited to participate in one session of each course to discuss the interface between spiritual counsel and psychiatry. A modified version of the Course Impact Questionnaire, a 20-item Likert scale utilized in previous studies of spirituality curricula in psychiatry, assessed residents' personal spiritual attitudes, competency, change in professional practice, and change in professional attitudes before and after the course (N = 20). Qualitative feedback was also elicited through written comments. The results from this study showed a statistically significant difference between the pre- and post-test scale for residents' self-perceived competency and change in professional practice. The findings suggest improvement in competency and professional practice scores in residents who participated in this course. This points toward the overall usefulness of the course and suggests that a process-oriented approach may be effective for discussing religion and spirituality in psychiatric training.

  4. CFAR Edge Detector for Polarimetric SAR Images

    DEFF Research Database (Denmark)

    Schou, Jesper; Skriver, Henning; Nielsen, Allan Aasbjerg

    2003-01-01

    Finding the edges between different regions in an image is one of the fundamental steps of image analysis, and several edge detectors suitable for the special statistics of synthetic aperture radar (SAR) intensity images have previously been developed. In this paper, a new edge detector for polar......Finding the edges between different regions in an image is one of the fundamental steps of image analysis, and several edge detectors suitable for the special statistics of synthetic aperture radar (SAR) intensity images have previously been developed. In this paper, a new edge detector...... for polarimetric SAR images is presented using a newly developed test statistic in the complex Wishart distribution to test for equality of covariance matrices. The new edge detector can be applied to a wide range of SAR data from single-channel intensity data to multifrequency and/or multitemporal polarimetric...... SAR data. By simply changing the parameters characterizing the test statistic according to the applied SAR data, constant false-alarm rate detection is always obtained. An adaptive filtering scheme is presented, and the distributions of the detector are verified using simulated polarimetric SAR images...

  5. Sea surface slicks measured by SAR

    Energy Technology Data Exchange (ETDEWEB)

    Trivero, P. [Alessandria Univ. del Piemonte Orientale, Alessandri (Italy). Dipt. di Scienze e Tecnologie Avanzate; Fiscella, B. [Turin Univ., Turin (Italy). Dipt. di Fisica Generale; Pavese, P. [Consiglio Nazionale delle Ricerche, Istituto di Cosmogeofisica, Turin (Italy)

    2001-02-01

    The Synthetic Aperture Radar (SAR) system capability to detect and characterize marine surface slicks was tested during the SAR-580 experiment in the northern Adriatic Sea, offshore the Venice coast, in October 1990. Two small artificial slicks of oleyl alcohol were produced in an area around the oceanographic platform of the Italian National Research Council (CNR). The oleyl alcohol produces a damping of the sea centimetric waves, which has been measured by an airborne two band (C and X) SAR, by a tower based 3 band (L, S and C) scatterometer and by a wave gauge, installed on board the platform, which measures the instantaneous sea surface elevation in the range form gravity up to capillary waves. The good agreement among measures proves that multi-frequency SAR is able to detect and characterized sea surface films. Slicks in SAR images taken during SIR-C/X-SAR mission in 1994 have been analysed on the basis of these results and L-band measurements of spatial attenuation near the borders of the slicks have been done, in order to test the slicks detectability using single-band SAR images.

  6. SARS - infectious disease of 21st century

    Directory of Open Access Journals (Sweden)

    Tjandra Y. Aditama

    2005-03-01

    Full Text Available Severe acute respiratory syndrome (SARS is an emerging viral infectious disease. According to the World Health Organization, a suspected case of SARS is defined as documented fever (temperature >38°C, lower respiratory tract symptoms, and contact with a person believed to have had SARS or history of travel to an area of documented transmission. A probable case is a suspected case with chest radiographic findings of pneumonia, acute respiratory distress syndrome (ARDS, or an unexplained respiratory illness resulting in death, with autopsy findings of ARDS without identifiable cause. In this article some SARS epidemiological data in Indonesia will also presented. There are 7 SARS suspected cases and 2 probable cases were registered in Indonesia on the period of 1 March to 9 July 2003, and no more cases were reported after that time. How will be SARS progression in the future will be a subject of discussion among scientist, and we will have to wait and be prepared for any development might occur. (Med J Indones 2005; 14: 59-63Keywords: SARS, Case Definition, Etiology, Indonesia

  7. Seasat SAR identification of dry climate urban land cover

    Science.gov (United States)

    Henderson, F. M.; Wharton, S. W.

    1980-01-01

    Digitally processed Seasat synthetic aperture radar (SAR) imagery of the Denver, Colorado area was examined to assess its potential for mapping urban land cover and the compatibility of SAR derived classes with those described in the U.S. Geological Survey classification system. The entire scene was interpreted to generate a small-scale land cover map. In addition, six subscene enlargements representative of urban land cover categories extant in the area were used as test sites for detailed analysis of land cover types. Two distinct approaches were employed and compared in examining the imagery - a visual interpretation of black-and-white positive transparencies and an automated-machine/visual interpretation. The latter used the Image 100 interactive image analysis system to generate land cover classes by density level slicing of the image frequency histogram.

  8. MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS

    Directory of Open Access Journals (Sweden)

    F. Lang

    2016-06-01

    Full Text Available Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based polarimetric SAR (PolSAR image multi-scale segmentation algorithms are usually inefficient and impractical. In this paper, we proposed a superpixel-based binary partition tree (BPT segmentation algorithm by combining the generalized statistical region merging (GSRM algorithm and the BPT algorithm. First, superpixels are obtained by setting a maximum region number threshold to GSRM. Then, the region merging process of the BPT algorithm is implemented based on superpixels but not pixels. The proposed algorithm inherits the advantages of both GSRM and BPT. The operation efficiency is obviously improved compared to the pixel-based BPT segmentation. Experiments using the Lband ESAR image over the Oberpfaffenhofen test site proved the effectiveness of the proposed method.

  9. Land Subsidence Monitoring Using PS-InSAR Technique for L-Band SAR Data

    Science.gov (United States)

    Thapa, S.; Chatterjee, R. S.; Singh, K. B.; Kumar, D.

    2016-10-01

    Differential SAR-Interferometry (D-InSAR) is one of the potential source to measure land surface motion induced due to underground coal mining. However, this technique has many limitation such as atmospheric in homogeneities, spatial de-correlation, and temporal decorrelation. Persistent Scatterer Interferometry synthetic aperture radar (PS-InSAR) belongs to a family of time series InSAR technique, which utilizes the properties of some of the stable natural and anthropogenic targets which remain coherent over long time period. In this study PS-InSAR technique has been used to monitor land subsidence over selected location of Jharia Coal field which has been correlated with the ground levelling measurement. This time series deformation observed using PS InSAR helped us to understand the nature of the ground surface deformation due to underground mining activity.

  10. Wave directional spectrum from SAR imagery

    Digital Repository Service at National Institute of Oceanography (India)

    Fernandes, A.A.; Sarma, Y.V.B.; Menon, H.B.; Vethamony, P.

    and surface wind waves, especially swell. SAR is also useful for ship detection Ocean waves are weakly 10 A.A. Fernandes et al. imaged and can be recognized from SAR imagery from their fine "finger print" like signature. In contrast with ocean waves.../internal waves by all types of radar including ship radar, Real Aperture Radar (RAR) mounted on aeroplanes and Synthetic. Aperture Radar (SAR) mounted on satellites, is by modulation of the back-scatter from short Bragg resonant capillary-gravity waves...

  11. Offshore wind mapping Mediterranean area using SAR

    DEFF Research Database (Denmark)

    Calaudi, Rosamaria; Arena, Felice; Badger, Merete

    2013-01-01

    Satellite observations of the ocean surface, for example from Synthetic Aperture Radars (SAR), provide information about the spatial wind variability over large areas. This is of special interest in the Mediterranean Sea, where spatial wind information is only provided by sparse buoys, often...... with long periods of missing data. Here, we focus on evaluating the use of SAR for offshore wind mapping. Preliminary results from the analysis of SAR-based ocean winds in Mediterranean areas show interesting large scale wind flow features consistent with results from previous studies using numerical models...

  12. NASA/JPL Aircraft SAR Workshop Proceedings

    Science.gov (United States)

    Donovan, N. (Editor); Evans, D. L. (Editor); Held, D. N. (Editor)

    1985-01-01

    Speaker-supplied summaries of the talks given at the NASA/JPL Aircraft SAR Workshop on February 4 and 5, 1985, are provided. These talks dealt mostly with composite quadpolarization imagery from a geologic or ecologic prespective. An overview and summary of the system characteristics of the L-band synthetic aperture radar (SAR) flown on the NASA CV-990 aircraft are included as supplementary information. Other topics ranging from phase imagery and interferometric techniques classifications of specific areas, and the potentials and limitations of SAR imagery in various applications are discussed.

  13. SAR ATR Based on Convolutional Neural Network

    Directory of Open Access Journals (Sweden)

    Tian Zhuangzhuang

    2016-06-01

    Full Text Available This study presents a new method of Synthetic Aperture Radar (SAR image target recognition based on a convolutional neural network. First, we introduce a class separability measure into the cost function to improve this network’s ability to distinguish between categories. Then, we extract SAR image features using the improved convolutional neural network and classify these features using a support vector machine. Experimental results using moving and stationary target acquisition and recognition SAR datasets prove the validity of this method.

  14. High-speed railway bridge dynamic measurement based on GB-InSAR technology

    Science.gov (United States)

    Liu, Miao; Ding, Ke-liang; Liu, Xianglei; Song, Zichao

    2015-12-01

    It is an important task to evaluate the safety during the life of bridges using the corresponding vibration parameters. With the advantages of non-contact and high accuracy, the new remote measurement technology of GB-InSAR is suitable to make dynamic measurement for bridges to acquire the vibration parameters. Three key technologies, including stepped frequency-continuous wave technique, synthetic aperture radar and interferometric measurement technique, are introduced in this paper. The GB-InSAR is applied for a high-speed railway bridge to measure of dynamic characteristics with the train passing which can be used to analyze the safety of the monitored bridge. The test results shown that it is an reliable non-contact technique for GB-InSAR to acquire the dynamic vibration parameter for the high-speed railway bridges.

  15. Non-local SAR Image Despeckling Based on Similar Pixels Selected

    Directory of Open Access Journals (Sweden)

    Li Guang-ting

    2012-06-01

    Full Text Available Based on the ratio distance pixel-relativity and thresholding pixel-similarity, a modified non-local filter is proposed for SAR image despeckling in this paper. Firstly, the ratio distance pixel-relativity is obtained by transforming the joint probability density function of two pixels. Then, a table of pixel-similarity threshold, as a function of the SAR image look number and neighboring reflectivity ratio, is trained according to the minimum error probability. Finally, the pixel-similarity threshold is applied to select similar pixels from the searching window for the real reflectivity estimation. The proposed approach was verified by synthetic and real SAR images, and was compared with the PPB and LHRS-PRM filters. The visual quality and the quantification comparison show that the proposed approach is excellent not only in the reconstruction of the uniform area, the character of edges, texture, and details, but also with the lower computation complexity.

  16. Classification of agricultural fields using time series of dual polarimetry TerraSAR-X images

    Directory of Open Access Journals (Sweden)

    S. Mirzaee

    2014-10-01

    Full Text Available Due to its special imaging characteristics, Synthetic Aperture Radar (SAR has become an important source of information for a variety of remote sensing applications dealing with environmental changes. SAR images contain information about both phase and intensity in different polarization modes, making them sensitive to geometrical structure and physical properties of the targets such as dielectric and plant water content. In this study we investigate multi temporal changes occurring to different crop types due to phenological changes using high-resolution TerraSAR-X imagers. The dataset includes 17 dual-polarimetry TSX data acquired from June 2012 to August 2013 in Lorestan province, Iran. Several features are extracted from polarized data and classified using support vector machine (SVM classifier. Training samples and different features employed in classification are also assessed in the study. Results show a satisfactory accuracy for classification which is about 0.91 in kappa coefficient.

  17. Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests

    Directory of Open Access Journals (Sweden)

    Zou Tongyuan

    2010-01-01

    Full Text Available Abstract Terrain classification using polarimetric SAR imagery has been a very active research field over recent years. Although lots of features have been proposed and many classifiers have been employed, there are few works on comparing these features and their combination with different classifiers. In this paper, we firstly evaluate and compare different features for classifying polarimetric SAR imagery. Then, we propose two strategies for feature combination: manual selection according to heuristic rules and automatic combination based on a simple but efficient criterion. Finally, we introduce extremely randomized clustering forests (ERCFs to polarimetric SAR image classification and compare it with other competitive classifiers. Experiments on ALOS PALSAR image validate the effectiveness of the feature combination strategies and also show that ERCFs achieves competitive performance with other widely used classifiers while costing much less training and testing time.

  18. THE INQUIRY TRAINING LEARNING MODEL USE MIND MAPPING AND FORMAL THINGKING ABILITY ON STUDENT’S SCIENCE PROCESS SKILLS

    Directory of Open Access Journals (Sweden)

    Bima Anggraini

    2017-06-01

    Full Text Available The aim of this research were to analyzes: the different students’s science process skills by using inquiry training learning model and using conventional learning, the different students’s science process skills in the group of students who had formal thinking ability above average and below average, and the interaction inquiry training learning model and conventional learning with formal thinking ability of the students’s science process skills. This research carried out by a quasi-experimental with using two group pretest-postest design. The population of this study was class IX SMP IT An-Nizam Medan. The sample in this research was conducted by cluster random sampling of two classes, experiment class by using inquiry training learning model and control class by using conventional learning. The instruments of this study used science process skills in the perform work form and formal thinking ability test were collected by essay test. The data was analyzed by using two-way analysis of varians. The results of this research are  the different students’s science process skills of inquiry training learning model and conventional learning, the different students’s science process skills  who had formal thinking ability above average and below average, and there were an interactions between the inquiry training learning model with formal thinking ability in improving students's science process skills.

  19. GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment

    Directory of Open Access Journals (Sweden)

    He Wang

    2017-07-01

    Full Text Available Gaofen-3 (GF-3 is the first Chinese civil C-band synthetic aperture radar (SAR launched on 10 August 2016 by the China Academy of Space Technology (CAST, which operates in 12 imaging modes with a fine spatial resolution up to 1 m. As one of the primary users, the State Oceanic Administration (SOA operationally processes GF-3 SAR Level-1 products into ocean surface wind vector and plans to officially release the near real-time SAR wind products in the near future. In this paper, the methodology of wind retrieval at C-band SAR is introduced and the first results of GF-3 SAR-derived winds are presented. In particular, the case of the coastal katabatic wind off the west coast of the U.S. captured by GF-3 is discussed. The preliminary accuracy assessment of wind speed and direction retrievals from GF-3 SAR is carried out against in situ measurements from National Data Buoy Center (NDBC buoy measurements of National Oceanic and Atmospheric Administration (NOAA. Only the buoys located inside the GF-3 SAR wind cell (1 km were considered as co-located in space, while the time interval between observations of SAR and buoy was limited to less the 30 min. These criteria yielded 56 co-locations during the period from January to April 2017, showing the Root Mean Square Error (RMSE of 2.46 m/s and 22.22° for wind speed and direction, respectively. Different performances due to geophysical model function (GMF and Polarization Ratio (PR are discussed. The preliminary results indicate that GF-3 wind retrievals are encouraging for operational implementation.

  20. Complex surface deformation of Akutan volcano, Alaska revealed from InSAR time series

    Science.gov (United States)

    Wang, Teng; DeGrandpre, Kimberly; Lu, Zhong; Freymueller, Jeffrey T.

    2018-02-01

    Akutan volcano is one of the most active volcanoes in the Aleutian arc. An intense swarm of volcano-tectonic earthquakes occurred across the island in 1996. Surface deformation after the 1996 earthquake sequence has been studied using Interferometric Synthetic Aperture Radar (InSAR), yet it is hard to determine the detailed temporal behavior and spatial extent of the deformation due to decorrelation and the sparse temporal sampling of SAR data. Atmospheric delay anomalies over Akutan volcano are also strong, bringing additional technical challenges. Here we present a time series InSAR analysis from 2003 to 2016 to reveal the surface deformation in more detail. Four tracks of Envisat data acquired from 2003 to 2010 and one track of TerraSAR-X data acquired from 2010 to 2016 are processed to produce high-resolution surface deformation, with a focus on studying two transient episodes of inflation in 2008 and 2014. For the TerraSAR-X data, the atmospheric delay is estimated and removed using the common-master stacking method. These derived deformation maps show a consistently uplifting area on the northeastern flank of the volcano. From the TerraSAR-X data, we quantify the velocity of the subsidence inside the caldera to be as high as 10 mm/year, and identify another subsidence area near the ground cracks created during the 1996 swarm.

  1. Emergency product generation for disaster management using RISAT and DMSAR quick look SAR processors

    Science.gov (United States)

    Desai, Nilesh; Sharma, Ritesh; Kumar, Saravana; Misra, Tapan; Gujraty, Virendra; Rana, SurinderSingh

    2006-12-01

    Since last few years, ISRO has embarked upon the development of two complex Synthetic Aperture Radar (SAR) missions, viz. Spaceborne Radar Imaging Satellite (RISAT) and Airborne SAR for Disaster Mangement (DMSAR), as a capacity building measure under country's Disaster Management Support (DMS) Program, for estimating the extent of damage over large areas (~75 Km) and also assess the effectiveness of the relief measures undertaken during natural disasters such as cyclones, epidemics, earthquakes, floods and landslides, forest fires, crop diseases etc. Synthetic Aperture Radar (SAR) has an unique role to play in mapping and monitoring of large areas affected by natural disasters especially floods, owing to its unique capability to see through clouds as well as all-weather imaging capability. The generation of SAR images with quick turn around time is very essential to meet the above DMS objectives. Thus the development of SAR Processors, for these two SAR systems poses considerable challenges and design efforts. Considering the growing user demand and inevitable necessity for a full-fledged high throughput processor, to process SAR data and generate image in real or near-real time, the design and development of a generic SAR Processor has been taken up and evolved, which will meet the SAR processing requirements for both Airborne and Spaceborne SAR systems. This hardware SAR processor is being built, to the extent possible, using only Commercial-Off-The-Shelf (COTS) DSP and other hardware plug-in modules on a Compact PCI (cPCI) platform. Thus, the major thrust has been on working out Multi-processor Digital Signal Processor (DSP) architecture and algorithm development and optimization rather than hardware design and fabrication. For DMSAR, this generic SAR Processor operates as a Quick Look SAR Processor (QLP) on-board the aircraft to produce real time full swath DMSAR images and as a ground based Near-Real Time high precision full swath Processor (NRTP). It will

  2. Detection and Monitoring of Inundation with Polarimetric L-Band SAR

    Science.gov (United States)

    Chapman, B. D.; Celi, J. E.; Hamilton, S. K.; McDonald, K. C.

    2014-12-01

    It has been known for decades that at wavelengths L-band or longer, SAR is a sensitive indicator of inundation underneath forest canopies. The high resolution detection of below-canopy inundation is difficult to accomplish at regional to continental scales using other types of remote sensing sensors, making it a compelling SAR measurement especially useful for studying wetland inundation dynamics, particularly in difficult-to-reach access, canopy-covered tropical forest environments. Most results have utilized spaceborne SAR observations with less than fully polarimetric data. Since one of the objectives of the NISAR mission is to characterize and understand the fundamental process that drives changes to ecosystems such as wetland inundated areas, we will discuss the sensitivity of L-band SAR to inundation. We will illustrate the detection of inundation using fully polarimetric L-band SAR data from UAVSAR, NASA's airborne SAR, over a tropical forest region in Ecuador and Peru. At the same time as the data collection, measurements were made on the ground to characterize vegetation and inundation characteristics. The field data were used to validate the results of classifying the vanZyl decomposition of the polarimetric data. We compare this classification with that possible with a reduced subset of the polarimetric observations.

  3. Pixel Classification of SAR ice images using ANFIS-PSO Classifier

    Directory of Open Access Journals (Sweden)

    G. Vasumathi

    2016-12-01

    Full Text Available Synthetic Aperture Radar (SAR is playing a vital role in taking extremely high resolution radar images. It is greatly used to monitor the ice covered ocean regions. Sea monitoring is important for various purposes which includes global climate systems and ship navigation. Classification on the ice infested area gives important features which will be further useful for various monitoring process around the ice regions. Main objective of this paper is to classify the SAR ice image that helps in identifying the regions around the ice infested areas. In this paper three stages are considered in classification of SAR ice images. It starts with preprocessing in which the speckled SAR ice images are denoised using various speckle removal filters; comparison is made on all these filters to find the best filter in speckle removal. Second stage includes segmentation in which different regions are segmented using K-means and watershed segmentation algorithms; comparison is made between these two algorithms to find the best in segmenting SAR ice images. The last stage includes pixel based classification which identifies and classifies the segmented regions using various supervised learning classifiers. The algorithms includes Back propagation neural networks (BPN, Fuzzy Classifier, Adaptive Neuro Fuzzy Inference Classifier (ANFIS classifier and proposed ANFIS with Particle Swarm Optimization (PSO classifier; comparison is made on all these classifiers to propose which classifier is best suitable for classifying the SAR ice image. Various evaluation metrics are performed separately at all these three stages.

  4. Volcanic activity monitoring in Mt. Baekdu using SAR and LAHARZ model

    Science.gov (United States)

    Lee, Changwook; Lee, Moungjin

    2017-04-01

    Mt. Baekdu is located on the border between China and North Korea with high risk to large explosive eruptions with not available efficient field work because of rugged mountain terrain. A multi-band SAR interferometry was applied to a time-series processing from 1992 to now in this study. First of all, Japanese Earth Resources Satellites (JERS-1) L-band SAR data is useful to measure surface deformation with time-series method in heavily vegetation area such as mountain and forest regions. We make multiple-interferogram to measure surface deformation with time-series in Mt. Baekdu area and successfully generate time-series rate map from 1992 to 1998 using JERS-1 SAR data at previous work. We also used ALOS-PALSAR data for making time-series surface deformation map from 2006 to 2011. Radarsat-2 C-band SAR data is not proper to make interferogram in this area because of relatively short wavelength from 2010 to 2012. Moreover, TerraSAR-X X-band SAR data is not easily make interferograms with time-series continuously from 2012 to 2015. We also generate inundation area map from simulation of Laharz model for volcanic hazards risk estimation in Mt. Baekdu area. This study can help to monitor of active volcano with a dangerous and thick forest area covered by snow mostly half of the year.

  5. SAR Image Simulation in the Time Domain for Moving Ocean Surfaces

    Directory of Open Access Journals (Sweden)

    Chang-Kyu Rheem

    2013-04-01

    Full Text Available This paper presents a fundamental simulation method to generate synthetic aperture radar (SAR images for moving ocean surfaces. We have designed the simulation based on motion induced modulations and Bragg scattering, which are important features of ocean SAR images. The time domain simulation is able to obtain time series of microwave backscattering modulated by the orbital motions of ocean waves. Physical optics approximation is applied to calculate microwave backscattering. The computational grids are smaller than transmit microwave to demonstrate accurate interaction between electromagnetic waves and ocean surface waves. In this paper, as foundations for SAR image simulation of moving ocean surfaces, the simulation is carried out for some targets and ocean waves. The SAR images of stationary and moving targets are simulated to confirm SAR signal processing and motion induced modulation. Furthermore, the azimuth signals from the regular wave traveling to the azimuth direction also show the azimuthal shifts due to the orbital motions. In addition, incident angle dependence is simulated for irregular wind waves to compare with Bragg scattering theory. The simulation results are in good agreement with the theory. These results show that the simulation is applicable for generating numerical SAR images of moving ocean surfaces.

  6. Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification.

    Science.gov (United States)

    Yin, Junjun; Yang, Jian; Zhang, Qingjun

    2017-12-01

    On 10 August 2016 China launched the GF-3, its first C-band polarimetric synthetic aperture radar (SAR) satellite, which was put into operation at the end of January, 2017. GF-3 polarimetric SAR has many advantages such as high resolution and multi-polarization imaging capabilities. Polarimetric SAR can fully characterize the backscatter property of targets, and thus it is of great interest to explore the physical scattering mechanisms of terrain types, which is very important in interpreting polarimetric SAR imagery and for its further usages in Earth observations. In this paper, focusing on target scattering characterization and feature extraction, we generalize the Δ α B / α B method, which was proposed under the reflection symmetric assumption, for the general backscatter process to account for both the reflection symmetry and asymmetry cases. Then, we evaluate the performances of physical scattering mechanism analysis methods for GF-3 polarimetric SAR imagery. Radarsat-2 data acquired over the same area is used for cross validation. Results show that GF-3 polarimetric SAR data has great potential for target characterization, especially for ocean area observation.

  7. SARS CoV main proteinase: The monomer-dimer equilibrium dissociation constant.

    Science.gov (United States)

    Graziano, Vito; McGrath, William J; Yang, Lin; Mangel, Walter F

    2006-12-12

    The SARS coronavirus main proteinase (SARS CoV main proteinase) is required for the replication of the severe acute respiratory syndrome coronavirus (SARS CoV), the virus that causes SARS. One function of the enzyme is to process viral polyproteins. The active form of the SARS CoV main proteinase is a homodimer. In the literature, estimates of the monomer-dimer equilibrium dissociation constant, KD, have varied more than 65,0000-fold, from equilibrium by three different techniques: small-angle X-ray scattering, chemical cross-linking, and enzyme kinetics. Analysis of small-angle X-ray scattering data from a series of measurements at different SARS CoV main proteinase concentrations yielded KD values of 5.8 +/- 0.8 microM (obtained from the entire scattering curve), 6.5 +/- 2.2 microM (obtained from the radii of gyration), and 6.8 +/- 1.5 microM (obtained from the forward scattering). The KD from chemical cross-linking was 12.7 +/- 1.1 microM, and from enzyme kinetics, it was 5.2 +/- 0.4 microM. While each of these three techniques can present different, potential limitations, they all yielded similar KD values.

  8. Integrated Approach to Reduce Perinatal Adverse Events: Standardized Processes, Interdisciplinary Teamwork Training, and Performance Feedback.

    Science.gov (United States)

    Riley, William; Begun, James W; Meredith, Les; Miller, Kristi K; Connolly, Kathy; Price, Rebecca; Muri, Janet H; McCullough, Mac; Davis, Stanley

    2016-12-01

    To improve safety practices and reduce adverse events in perinatal units of acute care hospitals. Primary data collected from perinatal units of 14 hospitals participating in the intervention between 2008 and 2012. Baseline secondary data collected from the same hospitals between 2006 and 2007. A prospective study involving 342,754 deliveries was conducted using a quality improvement collaborative that supported three primary interventions. Primary measures include adoption of three standardized care processes and four measures of outcomes. Chart audits were conducted to measure the implementation of standardized care processes. Outcome measures were collected and validated by the National Perinatal Information Center. The hospital perinatal units increased use of all three care processes, raising consolidated overall use from 38 to 81 percent between 2008 and 2012. The harms measured by the Adverse Outcome Index decreased 14 percent, and a run chart analysis revealed two special causes associated with the interventions. This study demonstrates the ability of hospital perinatal staff to implement efforts to reduce perinatal harm using a quality improvement collaborative. Findings help inform the relationship between the use of standardized care processes, teamwork training, and improved perinatal outcomes, and suggest that a multiplicity of integrated strategies, rather than a single intervention, may be essential to achieve high reliability. © Health Research and Educational Trust.

  9. Graduate training in Earth science across borders and disciplines: ArcTrain -"Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic"

    Science.gov (United States)

    Stein, Rüdiger; Kucera, Michal; Walter, Maren; de Vernal, Anne

    2015-04-01

    Due to a complex set of feedback processes collectively known as "polar amplification", the Arctic realm is expected to experience a greater-than-average response to global climate forcing. The cascades of feedback processes that connect the Arctic cryosphere, ocean and atmosphere remain incompletely constrained by observations and theory and are difficult to simulate in climate models. Our capacity to predict the future of the region and assess the impacts of Arctic change processes on global and regional environments hinges on the availability of interdisciplinary experts with strong international experience and understanding of the science/society interface. This is the basis of the International Research Training Group "Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic - ArcTrain", which was initiated in 2013. ArcTrain aims to educate PhD students in an interdisciplinary environment that combines paleoclimatology, physical oceanography, remote sensing and glaciology with comprehensive Earth system modelling, including sea-ice and ice-sheet components. The qualification program for the PhD students includes joint supervision, mandatory research residences at partner institutions, field courses on land and on sea (Floating University), annual meetings and training workshops and a challenging structured training in expert skills and transferrable skills. Its aim is to enhance the career prospects and employability of the graduates in a challenging international job market across academic and applied sectors. ArcTrain is a collaborative project at the University of Bremen and the Alfred Wegener Institute for Polar and Marine Research in Bremerhaven. The German part of the project is designed to continue for nine years and educate three cohorts of twelve PhD students each. The Canadian partners comprise a consortium of eight universities led by the GEOTOP cluster at the Université du Québec à Montréal and including

  10. Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study.

    Science.gov (United States)

    Chowell, Gerardo; Abdirizak, Fatima; Lee, Sunmi; Lee, Jonggul; Jung, Eunok; Nishiura, Hiroshi; Viboud, Cécile

    2015-09-03

    The Middle East respiratory syndrome (MERS) coronavirus has caused recurrent outbreaks in the Arabian Peninsula since 2012. Although MERS has low overall human-to-human transmission potential, there is occasional amplification in the healthcare setting, a pattern reminiscent of the dynamics of the severe acute respiratory syndrome (SARS) outbreaks in 2003. Here we provide a head-to-head comparison of exposure patterns and transmission dynamics of large hospital clusters of MERS and SARS, including the most recent South Korean outbreak of MERS in 2015. To assess the unexpected nature of the recent South Korean nosocomial outbreak of MERS and estimate the probability of future large hospital clusters, we compared exposure and transmission patterns for previously reported hospital clusters of MERS and SARS, based on individual-level data and transmission tree information. We carried out simulations of nosocomial outbreaks of MERS and SARS using branching process models rooted in transmission tree data, and inferred the probability and characteristics of large outbreaks. A significant fraction of MERS cases were linked to the healthcare setting, ranging from 43.5 % for the nosocomial outbreak in Jeddah, Saudi Arabia, in 2014 to 100 % for both the outbreak in Al-Hasa, Saudi Arabia, in 2013 and the outbreak in South Korea in 2015. Both MERS and SARS nosocomial outbreaks are characterized by early nosocomial super-spreading events, with the reproduction number dropping below 1 within three to five disease generations. There was a systematic difference in the exposure patterns of MERS and SARS: a majority of MERS cases occurred among patients who sought care in the same facilities as the index case, whereas there was a greater concentration of SARS cases among healthcare workers throughout the outbreak. Exposure patterns differed slightly by disease generation, however, especially for SARS. Moreover, the distributions of secondary cases per single primary case varied

  11. Synthetic Aperture Radar (sar) Based Classifiers for Land Applications in Germany

    Science.gov (United States)

    Suresh, G.; Gehrke, R.; Wiatr, T.; Hovenbitzer, M.

    2016-06-01

    Land cover information is essential for urban planning and for land cover change monitoring. This paper presents an overview of the work conducted at the Federal Agency for Cartography and Geodesy (BKG) with respect to Synthetic Aperture Radar (SAR) based land cover classification. Two land cover classification approaches using SAR images are reported in this paper. The first method involves a rule-based classification using only SAR backscatter intensity while the other method involves supervised classification of a polarimetric composite of the same SAR image. The LBM-DE has been used for training and validation of the SAR classification results. Images acquired from the Sentinel-1a satellite are used for classification and the results have been reported and discussed. The availability of Sentinel-1a images that are weather and daylight independent allows for the creation of a land cover classification system that can be updated and validated periodically, and hence, be used to assist other land cover classification systems that use optical data. With the availability of Sentinel-2 data, land cover classification combining Sentinel-1a and Sentinel-2 images present a path for the future.

  12. AUTOMATIC INTERPRETATION OF HIGH RESOLUTION SAR IMAGES: FIRST RESULTS OF SAR IMAGE SIMULATION FOR SINGLE BUILDINGS

    Directory of Open Access Journals (Sweden)

    J. Tao

    2012-09-01

    Full Text Available Due to the all-weather data acquisition capabilities, high resolution space borne Synthetic Aperture Radar (SAR plays an important role in remote sensing applications like change detection. However, because of the complex geometric mapping of buildings in urban areas, SAR images are often hard to interpret. SAR simulation techniques ease the visual interpretation of SAR images, while fully automatic interpretation is still a challenge. This paper presents a method for supporting the interpretation of high resolution SAR images with simulated radar images using a LiDAR digital surface model (DSM. Line features are extracted from the simulated and real SAR images and used for matching. A single building model is generated from the DSM and used for building recognition in the SAR image. An application for the concept is presented for the city centre of Munich where the comparison of the simulation to the TerraSAR-X data shows a good similarity. Based on the result of simulation and matching, special features (e.g. like double bounce lines, shadow areas etc. can be automatically indicated in SAR image.

  13. Aerobic Exercise Training in Post-Polio Syndrome: Process Evaluation of a Randomized Controlled Trial.

    Directory of Open Access Journals (Sweden)

    Eric L Voorn

    Full Text Available To explore reasons for the lack of efficacy of a high intensity aerobic exercise program in post-polio syndrome (PPS on cardiorespiratory fitness by evaluating adherence to the training program and effects on muscle function.A process evaluation using data from an RCT.Forty-four severely fatigued individuals with PPS were randomized to exercise therapy (n = 22 or usual care (n = 22.Participants in the exercise group were instructed to exercise 3 times weekly for 4 months on a bicycle ergometer (60-70% heart rate reserve.The attendance rate was high (median 89%. None of the participants trained within the target heart rate range during >75% of the designated time. Instead, participants exercised at lower intensities, though still around the anaerobic threshold (AT most of the time. Muscle function did not improve in the exercise group.Our results suggest that severely fatigued individuals with PPS cannot adhere to a high intensity aerobic exercise program on a cycle ergometer. Despite exercise intensities around the AT, lower extremity muscle function nor cardiorespiratory fitness improved. Improving the aerobic capacity in PPS is difficult through exercise primarily focusing on the lower extremities, and may require a more individualized approach, including the use of other large muscle groups instead.Netherlands National Trial Register NTR1371.

  14. Evaluation of InSAR and TomoSAR for Monitoring Deformations Caused by Mining in a Mountainous Area with High Resolution Satellite-Based SAR

    Directory of Open Access Journals (Sweden)

    Donglie Liu

    2014-02-01

    Full Text Available Interferometric Synthetic Aperture Radar (InSAR and Differential Interferometric Synthetic Aperture Radar (DInSAR have shown numerous applications for subsidence monitoring. In the past 10 years, the Persistent Scatterer InSAR (PSI and Small BAseline Subset (SBAS approaches were developed to overcome the problem of decorrelation and atmospheric effects, which are common in interferograms. However, DInSAR or PSI applications in rural areas, especially in mountainous regions, can be extremely challenging. In this study we have employed a combined technique, i.e., SBAS-DInSAR, to a mountainous area that is severely affected by mining activities. In addition, L-band (ALOS and C-band (ENVISAT data sets, 21 TerraSAR-X images provided by German Aerospace Center (DLR with a high resolution have been used. In order to evaluate the ability of TerraSAR-X for mining monitoring, we present a case study of TerraSAR-X SAR images for Subsidence Hazard Boundary (SHB extraction. The resulting data analysis gives an initial evaluation of InSAR applications within a mountainous region where fast movements and big phase gradients are common. Moreover, the experiment of four-dimension (4-D Tomography SAR (TomoSAR for structure monitoring inside the mining area indicates a potential near all-wave monitoring, which is an extension of conventional InSAR.

  15. Monitoring of Three Case Studies of Creeping Landslides in Ecuador using L-band SAR Interferometry (InSAR)

    Science.gov (United States)

    Mayorga Torres, T. M.; Mohseni Aref, M.

    2015-12-01

    Tannia Mayorga Torres1,21 Universidad Central del Ecuador. Faculty of Geology, Mining, Oil, and Environment 2 Hubert H. Humphrey Fellowship 2015-16 IntroductionLandslides lead to human and economic losses across the country, mainly in the winter season. On the other hand, satellite radar data has cost-effective benefits due to open-source software and free availability of data. With the purpose of establishing an early warning system of landslide-related surface deformation, three case studies were designed in the Coast, Sierra (Andean), and Oriente (jungle) regions. The objective of this work was to assess the capability of L-band InSAR to get phase information. For the calculation of the interferograms in Repeat Orbit Interferometry PACkage, the displacement was detected as the error and was corrected. The coherence images (Figure 1) determined that L-band is suitable for InSAR processing. Under this frame, as a first approach, the stacking DInSAR technique [1] was applied in the case studies [2]; however, due to lush vegetation and steep topography, it is necessary to apply advanced InSAR techniques [3]. The purpose of the research is to determine a pattern of data acquisition and successful results to understand the spatial and temporal ground movements associated with landslides. The further work consists of establishing landslide inventories to combine phases of SAR images to generate maps of surface deformation in Tumba-San Francisco and Guarumales to compare the results with ground-based measurements to determine the maps' accuracy. References[1] Sandwell D., Price E. (1998). Phase gradient approach to stacking interferograms. Journal of Geophysical Research, Vol. 103, N. B12, pp. 30,183-30,204. [2] Mayorga T., Platzeck G. (2014). Using DInSAR as a tool to detect unstable terrain areas in an Andes region in Ecuador. NH3.5-Blue Poster B298, Vol. 16, EGU2014-16203. Austria. [3] Wasowski J., Bovenga F. (2014). Investigating landslides and unstable slopes with

  16. THE EFFECTS OF INQUIRY TRAINING MODEL USING MIND MAPPING AND MOTIVATION ON STUDENTS’ SCIENCE PROCESS SKILLS PHYSICS.

    Directory of Open Access Journals (Sweden)

    Dara Fitrah Dwi

    2016-12-01

    Full Text Available This study aims to analyze, student’s science process skills who are taught by inquiry training learning model using mind mapping is better than the students that taught with conventional learning, science process skills in students who have motivated above average are better compared with students who have the motivation below average, and the interaction between the inquiry training learning model using mind mapping and motivation in improving students' science process skills. This research was conducted by quasiexperimental. The sample selection was done by cluster random sampling that were class X2 and X1. The research instrument was using science process skills test in the form of descriptions and tests of motivation in the form of a questionnaire. The data were analyzed by ANOVA two lanes. The results showed that: The ability of students’ physics science process skills using inquiry training learning using mind mapping is better than the ability of students’ science process skills using conventional learning model. The ability of students’ physics science process skills in motivational groups are above average better than the ability of students’ physics science process skills  in conventional groups which are below average, and In this research, motivation above average dominant improves science process skills in Inquiry Training model using mind mapping rather than in conventional learning model

  17. From Ecuador to Patagonia: Andean deformation from InSAR 1992-2007

    Science.gov (United States)

    Pritchard, M. E.; Finnegan, N. J.

    2007-12-01

    We use Interferometric Synthetic Aperture Radar (InSAR) observations from 6 satellites (ERS-1, ERS-2, ENVISAT, RADARSAT, ALOS, and JERS-1) along with published GPS displacements to constrain the myriad deformational processes in the central and southern Andes between 1992-2007. In this contribution, we review the types of deformation that are occurring (volcanoes, earthquakes, post-seismic and inter-seismic deformation, glaciers, groundwater, and anthropogenic processes) and present new observations and models of these processes. In the central Andes, InSAR observations have been possible in all seasons and have documented numerous sources of deformation: at least 7 volcanic areas, more than a dozen earthquakes (5 oil production in the San Jorge basin, as well as motion of glaciers at the Northern and Southern Patagonian Icefields. Preliminary L-band InSAR data from ALOS indicates great potential for further illuminating deformational processes in the southern Andes.

  18. THE TRAINING OF HIGHLY QUALIFIED PERSONNEL IN THE DISCOURSE OF THE BOLOGNA PROCESS: HIGHWAY VERSUS ROADSIDE

    Directory of Open Access Journals (Sweden)

    Valery V. Markin

    2016-06-01

    Full Text Available Introduction: in the conditions of post-reform Russia the questions of training personnel of higher qualification has been repeatedly raised in the scientific community and one of the main issues was the question about graduate school. Especially this question became more urgent after Russia’s accession to the Bologna agreement in 2003. Materials and Methods: the article examines the problematic aspects of the scientific, organizational and pedagogical factors, procedures and criteria. In the conditions of post-reform Russia the questions of training personnel of higher qualification has been repeatedly raised in the scientific community and one of the main issues was the question about graduate school. Especially this question became more urgent after Russia’s accession to the Bologna agreement in 2003. The article explores the meaningful aspects of the scientific, organizational and pedagogical factors, procedures and criteria for the development and efficiency of the Institute of doctoral (Ph.D. in Russia compared with similar – in the European Union (doctorate on the example of its functioning in Latvia. Results: discusses specific aspects of individual factors, procedures and criteria for the development of the Institute of postgraduate studies in Russia. On the example of the European experience, it becomes better understood form of innovation, and in fact, largely a destructive program (in relation to the preservation and development of schools in the reproduction of scientific-pedagogical personnel of higher qualification have been actively conducted for 2015-the year of the reform of the Institute of postgraduate studies in Russia. Discussion and Conclusions: according to the research results the conclusions about the directions of improvement of training of highly qualified personnel in Russia, taking into account the European experience in this field. To revert to the old functionality targeted Russian postgraduate – training

  19. MiTAP for SARS Detection

    National Research Council Canada - National Science Library

    Damianos, Laurie E; Bayer, Samuel; Chisholm, Michael A; Henderson, John; Hirschman, Lynette; Morgan, William; Ubaldino, Marc; Zarrella, Guido; Wilson, V, James M; Polyak, Marat G

    2006-01-01

    The MiTAP prototype for SARS detection uses human language technology for detecting, monitoring, and analyzing potential indicators of infectious disease outbreaks and reasoning for issuing warnings and alerts...

  20. Attribute Learning for SAR Image Classification

    Directory of Open Access Journals (Sweden)

    Chu He

    2017-04-01

    Full Text Available This paper presents a classification approach based on attribute learning for high spatial resolution Synthetic Aperture Radar (SAR images. To explore the representative and discriminative attributes of SAR images, first, an iterative unsupervised algorithm is designed to cluster in the low-level feature space, where the maximum edge response and the ratio of mean-to-variance are included; a cross-validation step is applied to prevent overfitting. Second, the most discriminative clustering centers are sorted out to construct an attribute dictionary. By resorting to the attribute dictionary, a representation vector describing certain categories in the SAR image can be generated, which in turn is used to perform the classifying task. The experiments conducted on TerraSAR-X images indicate that those learned attributes have strong visual semantics, which are characterized by bright and dark spots, stripes, or their combinations. The classification method based on these learned attributes achieves better results.

  1. A New Approach for SAR Image Denoising

    National Research Council Canada - National Science Library

    Murali Mohan Babu Y; Subramanyam M V; Giri Prasad M N

    2015-01-01

      In synthetic aperture radar (SAR) imaging, the transmitted pulses from space born antenna interacts with ground objects and returned energy or back scattered energy will be collected to get backscattered image...

  2. Satellite sar detection of hurricane helene (2006)

    DEFF Research Database (Denmark)

    Ju, Lian; Cheng, Yongcun; Xu, Qing

    2013-01-01

    In this paper, the wind structure of hurricane Helene (2006) over the Atlantic Ocean is investigated from a C-band RADARSAT-1 synthetic aperture radar (SAR) image acquired on 20 September 2006. First, the characteristics, e.g., the center, scale and area of the hurricane eye (HE) are determined....... There is a good agreement between the SAR-estimated HE center location and the best track data from the National Hurricane Center. The wind speeds at 10 m above the ocean surface are also retrieved from the SAR data using the geophysical model function (GMF), CMOD5, and compared with in situ wind speed...... observations from the stepped frequency microwave radiometer (SFMR) on NOAA P3 aircraft. All the results show the capability of hurricane monitoring by satellite SAR. Copyright © 2013 by the International Society of Offshore and Polar Engineers (ISOPE)....

  3. Advanced Antenna for Digital Beamforming SAR Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Develop a wideband (500 MHz) L-band phased-array antenna for airborne Synthetic Aperture Radar (SAR) applications based on a novel approach that will make possible...

  4. Reducing attention deficits after stroke using attention process training: a randomized controlled trial.

    Science.gov (United States)

    Barker-Collo, Suzanne L; Feigin, Valery L; Lawes, Carlene M M; Parag, Varsha; Senior, Hugh; Rodgers, Anthony

    2009-10-01

    Impaired attention contributes to poor stroke outcomes. Attention process training (APT) reduces attention deficits after traumatic brain injury. There was no evidence for effectiveness of APT in stroke patients. This trial evaluated effectiveness of APT in improving attention and broader outcomes in stroke survivors 6 months after stroke. Participants in this prospective, single-blinded, randomized, clinical trial were 78 incident stroke survivors admitted over 18 months and identified via neuropsychological assessment as having attention deficit. Participants were randomly allocated to standard care plus up to 30 hours of APT or standard care alone. Both groups were impaired (z attention at baseline, with the exception of Paced Auditory Serial Addition Test, which was below average (z Attention Quotient. APT resulted in a significantly greater (Pattention and broader outcomes were not significant. APT is a viable and effective means of improving attention deficits after incident stroke.

  5. Decoding Musical Training from Dynamic Processing of Musical Features in the Brain

    DEFF Research Database (Denmark)

    Saari, Pasi; Burunat, Iballa; Brattico, Elvira

    2018-01-01

    structural and functional effects on the brain. We propose and evaluate a decoding approach aimed at predicting the musicianship class of an individual listener from dynamic neural processing of musical features. Whole brain functional magnetic resonance imaging (fMRI) data was acquired from musicians...... and nonmusicians during listening of three musical pieces from different genres. Six musical features, representing low-level (timbre) and high-level (rhythm and tonality) aspects of music perception, were computed from the acoustic signals, and classification into musicians and nonmusicians was performed...... influenced by listeners' musical training. The study demonstrates the feasibility to decode musicianship from how individual brains listen to music, attaining accuracy comparable to current results from automated clinical diagnosis of neurological and psychological disorders....

  6. Bandwidth requirements for fine resolution squinted SAR

    Energy Technology Data Exchange (ETDEWEB)

    DOERRY,ARMIN W.

    2000-03-01

    The conventional rule-of-thumb for Synthetic Aperture Radar is that an RF bandwidth of c/(2{rho}{sub r}) is required to image a scene at the desired slant-range resolution {rho}{sub r}, and perhaps a little more to account for window functions and sidelobe control. This formulation is based on the notion that the total bandwidth required is the same bandwidth that is required for a single pulse. What is neglected is that efficient processing of an entire synthetic aperture of pulses will often require different frequency content for each of the different pulses that makeup a synthetic aperture. Consequently, the total RF bandwidth required of a Synthetic Aperture Radar may then be substantially wider than the bandwidth of any single pulse. The actual RF bandwidth required depends strongly on flight geometry, owing to the desire for a radar to maintain a constant projection of the Fourier space collection surface onto the {omega}{sub y} axis. Long apertures required for fine azimuth resolution, and severe squint angles with steep depression angles may require total RF bandwidths well beyond the minimum bandwidth required of any single transmitted pulse, perhaps even by a factor of two or more. Accounting for this is crucial to designing efficient versatile high-performance imaging radars. This paper addresses how a data set conducive to efficient processing might increase the total RF bandwidth, and presents examples of how a fixed RF bandwidth might then limit SAR geometries.

  7. Social Cognitive Training Improves Emotional Processing and Reduces Aggressive Attitudes in Ex-combatants

    Science.gov (United States)

    Trujillo, Sandra; Trujillo, Natalia; Lopez, Jose D.; Gomez, Diana; Valencia, Stella; Rendon, Jorge; Pineda, David A.; Parra, Mario A.

    2017-01-01

    Emotional processing (EP) is a complex cognitive function necessary to successfully adjust to social environments where we need to interpret and respond to cues that convey threat or reward signals. Ex-combatants have consistently shown atypical EP as well as poor social interactions. Available reintegration programs aim to facilitate the re-adaptation of ex-combatants to their communities. However, they do not incorporate actions to improve EP and to enhance cognitive-emotional regulation. The present study was aimed at evaluating the usefulness of an intervention focused on Social Cognitive Training (SCT), which was designed to equip ex-combatants enrolled in the Social Reintegration Route with EP and social cognition skills. A group of 31 ex-combatants (mean age of 37.2, 29 men) from Colombian illegal armed groups were recruited into this study. Of these, 16 were invited to take part in a SCT and the other continued with the conventional reintegration intervention. Both groups underwent 12 training sessions in a period 12–14 weeks. They were assessed with a comprehensive protocol which included Psychosocial, Behavioral, and Emotion Processing instruments. The scores on these instruments prior to and after the intervention were compared within and between groups. Both groups were matched at baseline. Ex-combatants receiving the SCT experienced significant improvements in EP and a reduction in aggressive attitudes, effects not observed in those continuing the conventional reintegration intervention. This is the first study that achieves such outcomes in such a population using SCT intervention. We discuss the implications of such results toward better social reintegration strategies. PMID:28428767

  8. Age differences in the effects of conceptual integration training on resource allocation in sentence processing.

    Science.gov (United States)

    Stine-Morrow, Elizabeth A L; Noh, Soo Rim; Shake, Matthew C

    2010-07-01

    This research examined age differences in the accommodation of reading strategies as a consequence of explicit instruction in conceptual integration. In Experiment 1, young, middle-aged, and older adults read sentences for delayed recall using a moving-window method. Readers in an experimental group received instruction in making conceptual links during reading while readers in a control group were simply encouraged to allocate effort. Regression analysis to decompose word-by-word reading times in each condition isolated the time allocated to conceptual processing at the point in the text at which new concepts were introduced, as well as at clause and sentence boundaries. While younger adults responded to instructions by differentially allocating effort to sentence wrap-up, older adults allocated effort to intrasentence wrap-up and on new concepts as they were introduced, suggesting that older readers optimized their allocation of effort to linguistic computations for textbase construction within their processing capacity. Experiment 2 verified that conceptual integration training improved immediate recall among older readers as a consequence of engendering allocation to conceptual processing.

  9. SAR For REDD+ in the Mai Ndombe District (DRC)

    Science.gov (United States)

    Haarpaintner, Jorg

    2016-08-01

    The overall goal of the project "SAR for REDD" is to provide cloud-penetrating satellite synthetic aperture radar (SAR) pre-processing and analysing capabilities and tools to support operational tropical forest monitoring in REDD countries and primarily in Africa. The project's end-user is the Observatoir Satellitale des Forêts d'Afrique Centrale (OSFAC).This paper presents an overall summary of the project and shows first results of the satellite products, that will be delivered to the user in addition to software tools to enhance the user's own technical capacity.The products shown here are SAR mosaics and derived forest-land cover maps based on C-band Sentinel-1A data for 2015, ALOS-PALSAR data for the period 2007-2010 and ALOS-2 PALSAR-2 for 2015. In addition, a forest cover change map from 2007 to 2010 based on ALOS PALSAR has been produced and is compared to results from the Global Forest Cover project [1].

  10. Aoutomatic Oil Spill Detection Using TerraSAR-X Data

    Science.gov (United States)

    Zulipiye, Kaiyoumu; Balik Sanli, Fusun

    2016-07-01

    Oil release into the ocean may affect marine ecosystems and cause environmental pollution. Thus, oil spill detection and identification becomes critical important. Characterized by synoptic view over large regions, remote sensing has been proved to be a reliable tool for oil spill detection. Synthetic Aperture Radar (SAR) imagery shows returned signal that clearly distinguish oil from oil-free surface under optimal wind conditions, which makes it the most frequent used remote sensing technique in oil spill detection. Algorithms of automatic oil spill detection has already been developed for different SAR sensors, including RADARSAT and ENVISAT. In this study, we want to apply automatic oil spill detection algorithms on TerraSAR-X data which is previously developed for ASAR data. The applied methodology includes two steps as segmentation and classification. First segmentation algorithms compiled by C# have been applied under a Bayesian framework adopting a multi-level logistic. After segmentation different classification methods such as feature selection, filter, and embedded selection have been applied. As a result the used classifiers for oil spill detection will be compared, and the complete processing chain will be evaluated.

  11. Polarimetric differential SAR interferometry in an arid natural environment

    Science.gov (United States)

    Mullissa, Adugna G.; Tolpekin, Valentyn; Stein, Alfred; Perissin, Daniele

    2017-07-01

    Ground deformation measurements have contributed to a better understanding of the processes and mechanisms involved in natural hazards. Those include landslides, subsidence, earthquakes and volcanic eruptions. Spaceborne Differential Interferometric Synthetic Aperture RADAR (DInSAR) is a well studied technique for measuring ground deformation. Quality of deformation measurements, however, is often degraded by decorrelation. With the advent of fully polarimetric SAR satellite sensors, polarimetric optimization techniques exploiting polarimetric diversity improve the phase quality of interferograms. In this paper, we analyzed three polarimetric optimization methods to determine the optimal one for application in an arid natural environment. We considered coherence decomposition in single and double phase center scenarios. Coherence estimation bias associated with each optimization method has been analyzed. We compared the derived displacement values with terrestrial GPS measurements. The study shows that polarimetric optimization increases the number of coherent pixels by upto 6.89% as compared with a single polarization channel. The study concludes that polarimetric optimization coupled with DInSAR analysis yields more reliable deformation results in a low coherence region.

  12. Programme evaluation training for health professionals in francophone Africa: process, competence acquisition and use

    Directory of Open Access Journals (Sweden)

    Banza Baya

    2009-01-01

    Full Text Available Abstract Background While evaluation is, in theory, a component of training programmes in health planning, training needs in this area remain significant. Improving health systems necessarily calls for having more professionals who are skilled in evaluation. Thus, the Université de Ouagadougou (Burkina Faso and the Université de Montréal (Canada have partnered to establish, in Burkina Faso, a master's-degree programme in population and health with a course in programme evaluation. This article describes the four-week (150-hour course taken by two cohorts (2005–2006/2006–2007 of health professionals from 11 francophone African countries. We discuss how the course came to be, its content, its teaching processes and the master's programme results for students. Methods The conceptual framework was adapted from Kirkpatrick's (1996 four-level evaluation model: reaction, learning, behaviour, results. Reaction was evaluated based on a standardized questionnaire for all the master's courses and lessons. Learning and behaviour competences were assessed by means of a questionnaire (pretest/post-test, one year after adapted from the work of Stevahn L, King JA, Ghere G, Minnema J: Establishing Essential Competencies for Program Evaluators. Am J Eval 2005, 26(1:43–59. Master's programme effects were tested by comparing the difference in mean scores between times (before, after, one year after using pretest/post-test designs. Paired sample tests were used to compare mean scores. Results The teaching is skills-based, interactive and participative. Students of the first cohort gave the evaluation course the highest score (4.4/5 for overall satisfaction among the 16 courses (3.4–4.4 in the master's programme. What they most appreciated was that the forms of evaluation were well adapted to the content and format of the learning activities. By the end of the master's programme, both cohorts of students considered that they had greatly improved their

  13. Developing Software Requirements for a Knowledge Management System That Coordinates Training Programs with Business Processes and Policies in Large Organizations

    Science.gov (United States)

    Kiper, J. Richard

    2013-01-01

    For large organizations, updating instructional programs presents a challenge to keep abreast of constantly changing business processes and policies. Each time a process or policy changes, significant resources are required to locate and modify the training materials that convey the new content. Moreover, without the ability to track learning…

  14. Staff Training for Business Process Improvement: The Benefit of Role-Plays in the Case of KreditSim

    Science.gov (United States)

    Borner, Rene; Moormann, Jurgen; Wang, Minhong

    2012-01-01

    Purpose: The paper aims to explore staff's experience with role-plays using the example of training bank employees in Six Sigma as a major methodology for business process improvement. Design/methodology/approach: The research is based on a case study. A role-play, KreditSim, is used to simulate a loan approval process that has to be improved by…

  15. Development process of in-service training intended for teachers to perform teaching of mathematics with computer algebra systems

    Science.gov (United States)

    Ardıç, Mehmet Alper; Işleyen, Tevfik

    2018-01-01

    In this study, we deal with the development process of in-service training activities designed in order for mathematics teachers of secondary education to realize teaching of mathematics, utilizing computer algebra systems. In addition, the results obtained from the researches carried out during and after the in-service training were summarized. Last section focuses on suggestions any teacher can use to carry out activities aimed at using computer algebra systems in teaching environments.

  16. An innovative lab-based training program to help patient groups understand their disease and the research process.

    Directory of Open Access Journals (Sweden)

    Marion Mathieu

    2015-02-01

    Full Text Available Genuine partnership between patient groups and medical experts is important but challenging. Our training program meets this challenge by organizing hands-on, lab-based training sessions for members of patient groups. These sessions allow "trainees" to better understand their disease and the biomedical research process, and strengthen links between patients and local researchers. Over the past decade, we and our partner institutes have received more than 900 French patients, with the participation of over 60 researchers and clinicians.

  17. An innovative lab-based training program to help patient groups understand their disease and the research process.

    Science.gov (United States)

    Mathieu, Marion; Hammond, Constance; Karlin, David G

    2015-02-01

    Genuine partnership between patient groups and medical experts is important but challenging. Our training program meets this challenge by organizing hands-on, lab-based training sessions for members of patient groups. These sessions allow "trainees" to better understand their disease and the biomedical research process, and strengthen links between patients and local researchers. Over the past decade, we and our partner institutes have received more than 900 French patients, with the participation of over 60 researchers and clinicians.

  18. An Innovative Lab-Based Training Program to Help Patient Groups Understand Their Disease and the Research Process

    OpenAIRE

    Marion Mathieu; Constance Hammond; Karlin, David G.

    2015-01-01

    International audience; Genuine partnership between patient groups and medical experts is important but challenging. Our training program meets this challenge by organizing hands-on, lab-based training sessions for members of patient groups. These sessions allow " trainees " to better understand their disease and the biomedical research process, and strengthen links between patients and local researchers. Over the past decade, we and our partner institutes have received more than 900 French p...

  19. SARS: Key factors in crisis management.

    Science.gov (United States)

    Tseng, Hsin-Chao; Chen, Thai-Form; Chou, Shieu-Ming

    2005-03-01

    This study was conducted at a single hospital selected in Taipei during the SARS (Severe Acute Respiratory Syndrome) outbreak from March to July, 2003 in Taiwan. During this period of time, 104 SARS patients were admitted to the hospital. There were no negative reports related to the selected hospital despite its being located right in the center of an area struck by the epidemic. The purpose of this study was to identify the key factors enabling the hospital to survive SARS unscathed. Data were collected from in-depth interviews with the nursing directors and nursing managers of the SARS units, along with a review of relevant hospital documents. The five key elements identified as survival factors during this SARS crisis are as follows: 1. good control of timing for crisis management, 2. careful decision-making, 3. thorough implementation, 4. effective communication, and 5. trust between management and employees. The results of this study reconfirmed the selected hospital as a model for good crisis management during the SARS epidemic.

  20. SARS among Critical Care Nurses, Toronto

    Science.gov (United States)

    McGeer, Allison; Henry, Bonnie; Ofner, Marianna; Rose, David; Hlywka, Tammy; Levie, Joanne; McQueen, Jane; Smith, Stephanie; Moss, Lorraine; Smith, Andrew; Green, Karen; Walter, Stephen D.

    2004-01-01

    To determine factors that predispose or protect healthcare workers from severe acute respiratory syndrome (SARS), we conducted a retrospective cohort study among 43 nurses who worked in two Toronto critical care units with SARS patients. Eight of 32 nurses who entered a SARS patient’s room were infected. The probability of SARS infection was 6% per shift worked. Assisting during intubation, suctioning before intubation, and manipulating the oxygen mask were high-risk activities. Consistently wearing a mask (either surgical or particulate respirator type N95) while caring for a SARS patient was protective for the nurses, and consistent use of the N95 mask was more protective than not wearing a mask. Risk was reduced by consistent use of a surgical mask, but not significantly. Risk was lower with consistent use of a N95 mask than with consistent use of a surgical mask. We conclude that activities related to intubation increase SARS risk and use of a mask (particularly a N95 mask) is protective. PMID:15030692