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Parallelized extreme learning machine for online data classification

APPLIED INTELLIGENCE 2022年第12期52卷 14164-14177页

作者： Vidhya, M. Aji, S. Univ Kerala Dept Comp Sci Thiruvananthapuram Kerala India

The challenges raised by the massive data are being managed by the community through the advancements of infrastructure and algorithms, and now the processing of fast data is becoming a new hurdle to the researchers. Extreme Learning Machine (ELM) is a single-layer learning model with reliable performances and it is computationally simpler than the new generation deep architectures. ELM process the data in batches and the model has to be rerun while updates happening in the datasets. In the theoretical background of ELM, the past knowledge cannot be reused for improving the performance in online learning where the data set will be updated with mini-batches. In this paper, we have introduced a knowledge base to deal with the remembrance of knowledge in ELM. The architecture of the proposed model is designed to process mini-batches of any size to speed up the processing of the data on its arrival. A group of data sets with different properties such as sparse and feature dimensions is used in the experiments to evaluate our method. The performance of the algorithm is compared with a set of benchmarked classifiers and stream classifiers in the scikit-learn public platform. It is observed that our method could perform better in most of the experiments. It clear in the results that the Parallel ELM model outperformed the other methods in the training time across all the datasets. The consistent performance of our method shows the significance of parallel algorithms of ELM that can remember past knowledge.

关键词： Extreme learning machine Online machine learning Stream classifiers fast data processing

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Fundamentals of fast Tsunami Wave Parameter Determination Technology for Hazard Mitigation

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SENSORS 2022年第19期22卷 7630页

作者： Lavrentiev, Mikhail Lysakov, Konstantin Marchuk, Andrey Oblaukhov, Konstantin Inst Automat & Electrometry SB RAS Novosibirsk 630090 Russia

This paper describes two basic elements of the smart technology, allowing us to bring to a new level the problem of early warning and mitigation of tsunami hazards for the so-called near zone events (when a destructive tsunami wave reaches the nearest coast in tens of minutes after the earthquake). The sensors system, installed in a reasonable way (to detect a wave as early as possible), is capable of transmitting the necessary raw data (measured wave profile) in a real time mode to a processing center. The smart (based on mathematical theory) algorithm can reconstruct an actual source shape within a few seconds using just a part of the measured wave record. Using modern computer architectures (Graphic processing Units or Field Programmable Gates Array) allows computing tsunami wave propagation from the source to shoreline in 1-2 min, which is comparable to the performance of a supercomputer. As is observed, the inundation zone could be evaluated reasonably correctly as the coastal area below two thirds of the tsunami wave height at a particular location. In total, the achieved performance of the two above mentioned algorithms makes it possible to evaluate timely the tsunami wave heights along the coastline to approximate the expected inundation zone, and therefore, to suggest (in case of necessity) evacuation measures to save lives.

关键词： tsunami hazard mitigation early warning technology fast data processing

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Research on Automatic Mapping Technology Based on SCD Model

Research on Automatic Mapping Technology Based on SCD Model

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2nd IEEE International Conference on Electronics and Communication Engineering (ICECE)

作者： Zhao Qi Feng Bin Wang Tingwang Chen Long Nan Dongliang State Grid Xinjiang Elect Power Res Inst Urumqi Peoples R China

ISBN: (数字)9781728147840

ISBN: (纸本)9781728147840

The fast parsing technology of IEC61850 SCD configuration file of intelligent substation is studied in this paper. According to the parsing results, various complex logic modules and their correlations are established within the system, such as IED, data set, virtual channel and virtual loop, besides, the fast search index is formed within the system. According to the fast data processing technology of SCD model, a high visualization of SCD model is formed and network connection diagram and logical connection diagram are automatically generated, which provides a model basis for the massive real-time data analysis needed for debugging and analysis work.

关键词： intelligent substation SCD file fast data processing high visualization automatic mapping

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Novel application of parallel computing techniques in soft X-rays plasma measurement systems for the WEST experimental thermal fusion reactor 26

Novel application of parallel computing techniques in soft X...

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26th Euromicro International Conference on Parallel, Distributed, and Network-Based processing (PDP)

作者： Krawczyk, Rafal Linczuk, Pawel Wojenski, Andrzej Pozniak, Krzysztof Kolasinski, Piotr Kasprowicz, Grzegorz Zabolotny, Wojciech Gaska, Michal Mazon, Didier Jardin, Axel Linczuk, Pawel Czarski, Tomasz Chernyshova, Maryna Kowalska-Strzeciwilk, Ewa Malinowski, Karol Warsaw Univ Technol Warsaw Poland CEA Cadarache St Paul Les Durance France Inst Plasma Phys & Laser Microfus Warsaw Poland

ISBN: (纸本)9781538649756

The article presents results of the novel approach of combining high-performance and parallel computing solutions with front-end electronics in the development of scalable specialized soft X-rays measurement tool for high-scale plasma physics experiments with thermal fusion devices. Regarding the need for an easily-modifiable advanced diagnostics of tokamak hot plasma content, the heterogeneous system consisting of FPGAs and the PC server was introduced. The objective is to provide data quality monitoring and evaluation mechanisms along with an algorithm benchmarking tool for fast, low-latency measurements of soft X-rays emitted by hot tokamak plasma. The article describes a method of the development of the computation pipeline on the server side. The novel parallel algorithms and results are discussed. This brand new approach is targeted to adapt a HPC techniques in new areas of science, where comprehensive low-latency measurements and instrumentation are increasingly desired. The presented solution is deployed in the operational tokamak WEST (Tungsten Environment in Steady-State Tokamak) in collaboration with French Alternative Energies and Atomic Energy Commission (CEA), Cadarache, France.

关键词： Heterogeneous Systems High Performance Computing Parallel Computing Plasma Physics fast data processing Intel Xeon High-Throughput Computing

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Rapid processing of PET list-mode data for efficient uncertainty estimation and data analysis

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PHYSICS IN MEDICINE AND BIOLOGY 2016年第13期61卷 N322-N336页

作者： Markiewicz, P. J. Thielemans, K. Schott, J. M. Atkinson, D. Arridge, S. R. Hutton, B. F. Ourselin, S. UCL Translat Imaging Grp CMIC London England UCL Inst Nucl Med London England UCL Dementia Res Ctr London England UCL Ctr Med Imaging London England UCL Ctr Med Image Comp London England

In this technical note we propose a rapid and scalable software solution for the processing of PET list-mode data, which allows the efficient integration of list mode data processing into the workflow of image reconstruction and analysis. All processing is performed on the graphics processing unit (GPU), making use of streamed and concurrent kernel execution together with data transfers between disk and CPU memory as well as CPU and GPU memory. This approach leads to fast generation of multiple bootstrap realisations, and when combined with fast image reconstruction and analysis, it enables assessment of uncertainties of any image statistic and of any component of the image generation process (e.g. random correction, image processing) within reasonable time frames (e.g. within five minutes per realisation). This is of particular value when handling complex chains of image generation and processing. The software outputs the following: (1) estimate of expected random event data for noise reduction;(2) dynamic prompt and random sinograms of span-1 and span-11 and (3) variance estimates based on multiple bootstrap realisations of (1) and (2) assuming reasonable count levels for acceptable accuracy. In addition, the software produces statistics and visualisations for immediate quality control and crude motion detection, such as: (1) count rate curves;(2) centre of mass plots of the radiodistribution for motion detection;3) video of dynamic projection views for fast visual list-mode skimming and inspection;(4) full normalisation factor sinograms. To demonstrate the software, we present an example of the above processing for fast uncertainty estimation of regional SUVR (standard uptake value ratio) calculation for a single PET scan of F-18-florbetapir using the Siemens Biograph mMR scanner.

关键词： posistron emission tomography graphics processing unit list mode motion detection projection views histogramming fast data processing

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The next steps in Seti-Italia science and technology

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ACTA ASTRONAUTICA 2010年第3-4期66卷 610-616页

作者： Montebugnoli, Stelio Cosmovici, Cristiano Monari, Jader Pluchino, Salvatore Zoni, Luca Bartolini, Marco Orlati, Andrea Salerno, Emma Schilliro, Francesco Pupillo, Giuseppe Perini, Federico Bianchi, Germano Tani, Mattia Amico, Leonardo IRA Natl Inst Astrophys Bologna Italy OATO Natl Inst Astrophys Turin Italy Univ Bologna I-40126 Bologna Italy IFSI Natl Inst Astrophys Rome Italy

The Italian Medicina Radioastronomy Station (nearby Bologna) is equipped with two antennas: the 32 mt (VLBI) dish and the Northern Cross, a large T-shaped parabolic/cylindrical antenna (30.000sqm). So far Seti observations have been performed using a SERENDIP IV high resolution spectrometer connected to the VLBI dish in "piggy back" mode configuration. in order to facilitate data interpretation and to introduce innovative methods to search for possible extraterrestrial signals. we are planning to make use of the large UHF Northern Cross transit telescope. Sky observations performed at least within two months, could provide for each day a number of matrices labeled according to the observing sidereal time. The entire set of matrices will be characterized by an averaged spectrum on each row per day. Keeping constant the transit antenna declination, a coherent signal coming from a definite position of the sky, would produce a "flag on" in the same submatrix at the same sidereal time. Detections collected in this way could be considered "confirmed" since they always come from the same region of the sky and are observed regularly. An extremely powerful processing board based on a multi-FPGAs (Field Programmable Gate Array) core was developed and is now under programming. This is conceived to be the processing core for this new kind of investigations. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Seti IAC Glasgow 2008 Radioastronomy data acquisition Signal extraction algorithms fast data processing Seti

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EDICAM fast video diagnostic installation on the COMPASS tokamak

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FUSION ENGINEERING AND DESIGN 2010年第3-4期85卷 370-373页

作者： Szappanos, A. Berta, M. Hron, M. Panek, R. Stockel, J. Tulipan, S. Veres, G. Weinzettl, V. Zoletnik, S. EURATOM KFKI RMKI H-1521 Budapest Hungary Szechenyi Istvan Univ EURATOM Assoc H-9026 Gyor Hungary Assoc EURATOM IPP CR Inst Plasma Phys AS CR Prague 18200 Czech Republic

A new camera system 'event detection intelligent camera' (EDICAM) is being developed by the Hungarian Association and has been installed on the COMPASS tokamak in the Institute of Plasma Physics AS CR in Prague, during February 2009. The standalone system contains a data acquisition PC and a prototype sensor module of EDICAM. Appropriate optical system have been designed and adjusted for the local requirements, and a mechanical holder keeps the camera out of the magnetic field. The fast camera contains a monochrome CMOS sensor with advanced control features and spectral sensitivity in the visible range. A special web based control interface has been implemented using Java spring framework to provide the control features in a graphical user environment. Java native interface (JNI) is used to reach the driver functions and to collect the data stored by direct memory access (DMA). Using a built in real-time streaming server one can see the live video from the camera through any web browser in the intranet. The live video is distributed in a Motion Jpeg format using real-time streaming protocol (RTSP) and a Java applet have been written to show the movie on the client side. The control system contains basic image processing features and the 3D wireframe of the tokamak can be projected to the selected frames. A MatLab interface is also presented with advanced post processing and analysis features to make the raw data available for high level computing programs. In this contribution all the concepts of EDICAM control center and the functions of the distinct software modules are described. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Video diagnostic fast data processing CMOS sensor Image processing

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SETI-ITALIA 2008: On-going searches and future prospects

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ACTA ASTRONAUTICA 2010年第11-12期67卷 1350-1355页

作者： Montebugnoli, S. Bartolini, M. Bianchi, G. Cosmovici, C. Monari, J. Orlati, A. Perini, F. Pluchino, S. Pupillo, G. Salerno, E. Schilliro, F. Zoni, L. Ist Radioastron IRA Ist Nazl Astrofis INAF Bologna Italy Osservatorio Astron Torino OATO Ist Nazl Astrofis INAF Turin Italy IFSI Ist Nazl Astrofis INAF Rome Italy

The Medicina Radioastronomical Station is located nearby Bologna. in Italy. It consists of two receiving antennas currently dedicated to the astronomical research at radio frequencies. The 32 m diameter parabolic dish performs observations from 1.4 to 22 GHz whereas the Northern Cross (a 30.000 m(2) wide T-shaped array transit antenna) works at 408 MHz. So far SETI observations have been performed using a SERENDIP IV high resolution spectrometer connected to the parabolic antenna. data acquisition were performed meanwhile the antenna was employed in ordinary astronomical observations (piggy-back mode). An innovative method to search for possible extraterrestrial signals could be provided by using the UHF Northern Cross transit telescope. In this paper observational modalities and the required technological set-up are investigated. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Radioastronomy data acquisition Signal extraction Algorithms fast data processing SETI

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