REAL-TIME HIGH-VOLUME DATA TRANSFER AND PROCESSING FOR e-VLBI

2010 ◽  
pp. 81-90
Author(s):  
YASUHIRO KOYAMA ◽  
TETSURO KONDO ◽  
MORITAKA KIMURA ◽  
MASAKI HIRABARU ◽  
HIROSHI TAKEUCHI
Keyword(s):  
Real Time ◽  
Data Transfer ◽  
High Volume ◽  
Volume Data

Managing high volume data for network attack detection using real-time flow filtering

2013 ◽  
Vol 10 (3) ◽  
pp. 56-66 ◽  
Author(s):  
Abhrajit Ghosh ◽  
Yitzchak M. Gottlieb ◽  
Aditya Naidu ◽  
Akshay Vashist ◽  
Alexander Poylisher ◽  
...  
Keyword(s):  
Real Time ◽  
High Volume ◽  
Attack Detection ◽  
Volume Data ◽  
Network Attack ◽  
Time Flow

scholarly journals Skip high-volume data transfer and access free computing resources for your CMIP6 multi-model analyses

2021 ◽  
Author(s):  
Maria Moreno de Castro ◽  
Marco Kulüke ◽  
Fabian Wachsmann ◽  
Regina Kwee-Hinzmann ◽  
Stephan Kindermann ◽  
...  
Keyword(s):  
High Performance ◽  
Process Model ◽  
Impact Analysis ◽  
Data Transfer ◽  
Computing Time ◽  
High Volume ◽  
System Modelling ◽  
Earth System ◽  
Volume Data ◽  
Climate Data

<p>Tired of downloading tons of model results? Is your internet connection flakey? Are you about to overload your computer’s memory with the constant increase of data volume and you need more computing resources? You can request free of charge computing time at one of the supercomputers of the Infrastructure of the European Network of Earth System modelling (IS-ENES)<sup>1</sup>, the European part of Earth System Grid Federation (ESGF)<sup>2</sup>, which also hosts and maintains more than 6 Petabytes of CMIP6 and CORDEX data.</p><p>Thanks to this new EU Comission funded service, you can run your own scripts in your favorite programming language and straightforward pre- and post-process model data. There is no need for heavy data transfer, just load with one line of code the data slice you need because your script will directly access the data pool. Therefore, days-lasting calculations will be done in seconds. You can test the service, we very easily provide pre-access activities.</p><p>In this session we will run Jupyter notebooks directly on the German Climate Computing Center (DKRZ)<sup>3</sup>, one of the ENES high performance computers and a ESGF data center, showing how to load, filter, concatenate, take means, and plot several CMIP6 models to compare their results, use some CMIP6 models to calculate some climate indexes for any location and period, and evaluate model skills with observational data. We will use Climate Data Operators (cdo)<sup>4</sup> and Python packages for Big Data manipulation, as Intake<sup>5</sup>, to easily extract the data from the huge catalog, and Xarray<sup>6</sup>, to easily read NetDCF files and scale to parallel computing. We are continuously creating more use cases for multi-model evaluation, mechanisms of variability, and impact analysis, visit the demos, find more information, and apply here: https://portal.enes.org/data/data-metadata-service/analysis-platforms.<br><br>[1] https://is.enes.org/<br>[2] https://esgf.llnl.gov/<br>[3] https://www.dkrz.de/<br>[4] https://code.mpimet.mpg.de/projects/cdo/<br>[5] https://intake.readthedocs.io/en/latest/<br>[6] http://xarray.pydata.org/en/stable/</p>

scholarly journals Monoclonal Antibody-Based Immunotherapy and Its Role in the Development of Cardiac Toxicity

Cancers ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 86
Author(s):  
Mohit Kumar ◽  
Chellappagounder Thangavel ◽  
Richard C. Becker ◽  
Sakthivel Sadayappan
Keyword(s):  
Cancer Patients ◽  
Immune Modulation ◽  
Checkpoint Inhibitors ◽  
Survival Rates ◽  
Induced Pluripotent Stem Cell ◽  
High Volume ◽  
Oncolytic Viruses ◽  
Model Systems ◽  
Volume Data ◽  
Late Cardiotoxicity

Immunotherapy is one of the most effective therapeutic options for cancer patients. Five specific classes of immunotherapies, which includes cell-based chimeric antigenic receptor T-cells, checkpoint inhibitors, cancer vaccines, antibody-based targeted therapies, and oncolytic viruses. Immunotherapies can improve survival rates among cancer patients. At the same time, however, they can cause inflammation and promote adverse cardiac immune modulation and cardiac failure among some cancer patients as late as five to ten years following immunotherapy. In this review, we discuss cardiotoxicity associated with immunotherapy. We also propose using human-induced pluripotent stem cell-derived cardiomyocytes/ cardiac-stromal progenitor cells and cardiac organoid cultures as innovative experimental model systems to (1) mimic clinical treatment, resulting in reproducible data, and (2) promote the identification of immunotherapy-induced biomarkers of both early and late cardiotoxicity. Finally, we introduce the integration of omics-derived high-volume data and cardiac biology as a pathway toward the discovery of new and efficient non-toxic immunotherapy.

scholarly journals A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis

2021 ◽  
Vol 77 (2) ◽  
pp. 98-108
Author(s):  
R. M. Churchill ◽  
C. S. Chang ◽  
J. Choi ◽  
J. Wong ◽  
S. Klasky ◽  
...  
Keyword(s):  
Real Time ◽  
International Collaboration ◽  
Large Scale ◽  
Data Transfer ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Large Scale Data ◽  
Scale Data

Abstract 2871: Saddle-Shaped Annuloplasty Reduces Mitral Leaflet Stress: A Real-Time 3D Echocardiographic Study

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Aaron S Blom ◽  
Chun Xu ◽  
Liam P Ryan ◽  
Benjamin Jackson ◽  
Landi M Parish ◽  
...  
Keyword(s):  
Finite Element ◽  
Real Time ◽  
Stress Reduction ◽  
Heart Association ◽  
Posterior Leaflet ◽  
Volume Data ◽  
Medical Systems ◽  
Annuloplasty Ring ◽  
Finite Element Program ◽  
Element Program

Objectives: High leaflet and chordal stresses contribute to recurrent mitral regurgitation after repair procedures. We hypothesized that a saddle-shaped annuloplasty ring would reduce leaflet stress compared to a similarly sized flat annuloplasty ring. To test this hypothesis we used a novel 3D echocardiographically-based finite element modeling (FEM) technique for quantifying regional mitral valve stress. Methods: Real-time 3D echocardiography was performed in 8 sheep before and after placement of either a 30mm flat annuloplasty (n=4) or a 30mm saddle-shaped annuloplasty. Full-volume data sets of the MV were obtained using an IE33 platform(Philips Medical Systems, Andover, Massachusetts) and exported to Cardio-View (Tomtec Imaging Systems, Munich, Germany) for image analysis. Individual leaflet data were then interpolated using Matlab (The Mathworks, Natick, Massachusetts). Triangulated leaflet surfaces were extracted and the data imported into a commercial finite element program (ABAQUS/Explicit 6.3, HKS Inc. Pawtucket, RI) to quantify regional stress distributions in all segments (P1, P2, P3 and A1, A2, A3) of the MV. Results: Peak anterior and posterior leaflet stresses after flat annuloplasty placement were 0.20±0.001MPa and 21±0.02MPa. Peak anterior and posterior leaflet stress after saddle-shaped annuloplasty placement was 0.19±0.02MPa and 13±0.01MPa (p<0.05 for the posterior leaflet stresses) Conclusions: Saddle-shaped annuloplasty design results in greater stress reduction in the posterior leaflet than standard flat annuloplasty rings and may, therefore, result in more durable repairs. This research has received full or partial funding support from the American Heart Association, AHA Great Rivers Affiliate (Delaware, Kentucky, Ohio, Pennsylvania & West Virginia).

scholarly journals GIF IMAGE HARDWARE COMPRESSORS

2021 ◽  
Author(s):  
Ivan Mozghovyi ◽  
Anatoliy Sergiyenko ◽  
Roman Yershov
Keyword(s):  
Data Compression ◽  
Data Storage ◽  
High Speed ◽  
Data Transfer ◽  
Future Research ◽  
Volume Data ◽  
High Speed Data ◽  
Lzw Algorithm ◽  
And Storage ◽  
Speed Data Transmission

Increasing requirements for data transfer and storage is one of the crucial questions now. There are several ways of high-speed data transmission, but they meet limited requirements applied to their narrowly focused specific target. The data compression approach gives the solution to the problems of high-speed transfer and low-volume data storage. This paper is devoted to the compression of GIF images, using a modified LZW algorithm with a tree-based dictionary. It has led to a decrease in lookup time and an increase in the speed of data compression, and in turn, allows developing the method of constructing a hardware compression accelerator during the future research.

scholarly journals Treatment of hepatocellular carcinoma using the Smart Fusion needle navigation system: conversion from real-time 4D-echo data

2021 ◽  
pp. 46
Author(s):  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Magnetic Resonance ◽  
Real Time ◽  
Navigation System ◽  
Magnetic Resonance Images ◽  
The Body ◽  
Target Point ◽  
Ultrasound Images ◽  
Volume Data ◽  
Needle Position

Advances in ultrasound systems have improved the accuracy of hepatocellular carcinoma (HCC) diagnosis and treatment. We have been treating HCC using real-time 4D and Live 3D-echo technologies. However, these treatment methods have drawbacks such as vibrations during puncture and a limited angle of needle insertion. To overcome these problems, systems that can display ultrasound images simultaneously with computed tomography (CT) and magnetic resonance images in a real-time manner for reference purposes have been reported. These systems have recently been equipped with a needle tip navigation system, making it possible to reliably visualize tumors and determine the needle tip position in a tumor. These developments have enabled the safe treatment of HCC. Treatment using needle navigation is performed as follows: A Canon APLIO800 ultrasound system is used with a conventional convex probe (PVT-375BT) and a micro-convex probe (PVT-382BT). The system function is known as Smart Fusion. Ultrasound images can be displayed with volume data from other modalities, such as CT and magnetic resonance imaging (MRI), in relation to the positional information using a magnetic sensor. This enables the use of CT/MRI data as reference for accurate puncture and treatment of lesions that are difficult to identify by ultrasound alone. Axis alignment is also completed by displaying the xiphoid process on a CT image and having the system learn the orientation of the probe placed perpendicular to the body axis. Then, landmark alignment is performed and fine-adjusted by aligning a target point near the lesion with the same point as displayed on CT (Fig. 1). Case presentation A 7x-year-old woman was found to have elevated tumor markers and a liver tumor identified by regular blood testing and CT performed in August 20xx and was admitted to our hospital for treatment. Abdominal ultrasonography showed a hypoechoic lesion measuring approximately 3 cm in diameter in liver S6, which led to a diagnosis of HCC. For treatment, microwave therapy was selected at the patient’s request. Microwaves were delivered using a Medtronic Emprint ablation system with a 3.0-cm needle for ablation. During treatment, the needle position was confirmed by needle navigation before ablation (Fig. 2) because the tumor needed to be ablated in an overlapping manner (Fig. 3).

PC-based continuous recording field seismograph

1992 ◽  
Vol 82 (1) ◽  
pp. 497-504
Author(s):  
R. W. E. Green
Keyword(s):  
Real Time ◽  
Data Transfer ◽  
Average Power ◽  
Data File ◽  
Time Correlation ◽  
Solar Panels ◽  
Long Period ◽  
Remote Sites ◽  
Sample Count ◽  
Teleseismic Events

Abstract Observations of teleseismic events at remote sites necessitated the development of a portable digital recorder that is capable of continuously recording the output of a three-component set of long-period transducers. A PC is used as a file management facility, operating in an intermittant or “sleeper mode.” Each of the three components are digitized and stored in separate, intelligent A to D cards. When 28 K samples have been generated, a trigger is initiated, and on the transition of the next real time second the real time is latched and power is applied to the PC. The sample count between the trigger and the latched acknowledgment of the trigger provides an absolute time correlation. After the PC has powered up, the data are down-loaded from the three acquisition cards to a PC hard disk and the latched real time forms the header label of the data file. Power is then removed from the PC. Sampling at about 15 samples per second, the PC is switched on every 33, 45 minutes. Boot-up and data down-loading uses approximately 5 watts average power. The associated long-period transducers (Guralp CMG3) consume about 3 watts and the remaining electronics 2 watts. All the electronics are housed in a steel cabinet, and the system uses four solar panels charging two 105AH batteries. Data transfer to an internal 60 MByte tape streamer necessitates a visit to the station every 24 days.

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