scholarly journals A library for fMRI real-time processing systems in python (RTPSpy) with comprehensive online noise reduction, fast and accurate anatomical image processing, and online processing simulation

2021 ◽  
Author(s):  
Masaya Misaki ◽  
Jerzy Bodurka ◽  
Martin P Paulus
Keyword(s):  
Image Processing ◽  
Data Processing ◽  
Real Time ◽  
Easy Access ◽  
External Application ◽  
Real Time Processing ◽  
Time Processing ◽  
Target Signal ◽  
Processing Pipeline ◽  
Anatomical Image

We introduce a python library for real-time fMRI (rtfMRI) data processing systems, Real-Time Processing System in python (RTPSpy), to provide building blocks for a custom rtfMRI application with extensive and advanced functionalities. RTPSpy is a library package including 1) a fast, comprehensive, and flexible online fMRI denoising pipeline comparable to offline processing, 2) utilities for fast and accurate anatomical image processing to define a target region on-site, 3) a simulation system of online fMRI processing to optimize a pipeline and target signal calculation, 4) interface to an external application for feedback presentation, and 5) a boilerplate graphical user interface (GUI) integrating operations with RTPSpy library. Since online fMRI data processing cannot be equivalent to offline, we discussed the limitations of online analysis and their solutions in the RTPSpy implementation. We developed a fast and accurate anatomical image processing script with fast tissue segmentation (FastSeg), image alignment, and spatial normalization, utilizing the FastSurfer, AFNI, and ANTs. We confirmed that the FastSeg output was comparable with FreeSurfer, and could complete all the anatomical image processing in a few minutes. Thanks to its highly modular architecture, RTPSpy can easily be used for a simulation analysis to optimize a processing pipeline and target signal calculation. We present a sample script for building a real-time processing pipeline and running a simulation using RTPSpy. The library also offers a simple signal exchange mechanism with an external application. An external application can receive a real-time neurofeedback signal from RTPSpy in a background thread with a few lines of script. While the main components of the RTPSpy are the library modules, we also provide a GUI class for easy access to the RTPSpy functions. The boilerplate GUI application provided with the package allows users to develop a customized rtfMRI application with minimum scripting labor. Finally, we discussed the limitations of the package regarding environment-specific implementations. We believe that RTPSpy is an attractive option for developing rtfMRI applications highly optimized for individual purposes. The package is available from GitHub (https://github.com/mamisaki/RTPSpy) with GPL3 license.

Measurement of Temperature Field in Laser Molten Pool by CCD Based on DSP

2008 ◽  
Vol 392-394 ◽  
pp. 693-696
Author(s):  
Z. Cao ◽  
Xi Chen Yang
Keyword(s):  
Image Processing ◽  
Temperature Field ◽  
Real Time ◽  
Measurement System ◽  
Molten Pool ◽  
Software Process ◽  
Real Time Processing ◽  
Time Processing ◽  
Gradient Image ◽  
Time Problem

In this paper, a measurement system of temperature field in laser molten pool by CCD based on DSP is presented. The paper also presents the system of hardware, software process, and the method of image processing by DSP. To solve the real time problem in the processing of measuring the temperature field, the system uses DSP as the main CPU, processing the image without a computer. By this method, the system can become simple and efficient and measure the laser molten pool temperature field quickly and exactly. Gradient image of temperature field is displayed on LCD after real time processing by this system. The final picture of temperature field can be directly analyzed.

Design and Implementation of Medical Image Teleconsultation System Based on Web

2012 ◽  
Vol 429 ◽  
pp. 123-127 ◽  
Author(s):  
De Yu Chen ◽  
Zhi Lin Jiang ◽  
Jia Jun Yang ◽  
Wu Yi Zong
Keyword(s):  
Image Processing ◽  
Information Processing ◽  
Real Time ◽  
Medical Image ◽  
High Fidelity ◽  
Image Information ◽  
Real Time Processing ◽  
Time Processing ◽  
Design And Implementation ◽  
Time Interaction

In telemedicine, real-time processing, processing without distortion, and browsing without plug-ins for medical image are these reasons that hinder implementation of medical image teleconsultation system. The paper presents a design of medical image teleconsultation system. The system is designed and achieved by comprehensive adoption of Silverlight, Deep Zoom, WCF and image processing technology. During the course of teleconsultation, real-time interaction, sharing and browsing for medical image meet the requirement for patients’ image information processing. Based on B/S, the system can achieve accurate locating, high-fidelity reduction and enlargement and quick browsing for medical image, and real-time interaction for consultation information through a universal browser.

scholarly journals Pulsar Searches with the SKA

2017 ◽  
Vol 13 (S337) ◽  
pp. 171-174 ◽  
Author(s):  
L. Levin ◽  
W. Armour ◽  
C. Baffa ◽  
E. Barr ◽  
S. Cooper ◽  
...  
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Search Engine ◽  
Real Time Processing ◽  
Time Processing ◽  
Square Kilometre Array ◽  
Processing Pipeline ◽  
The Galaxy ◽  
Search Data ◽  
Pulsar Searches

AbstractThe Square Kilometre Array will be an amazing instrument for pulsar astronomy. While the full SKA will be sensitive enough to detect all pulsars in the Galaxy visible from Earth, already with SKA1, pulsar searches will discover enough pulsars to increase the currently known population by a factor of four, no doubt including a range of amazing unknown sources. Real time processing is needed to deal with the 60 PB of pulsar search data collected per day, using a signal processing pipeline required to perform more than 10 POps. Here we present the suggested design of the pulsar search engine for the SKA and discuss challenges and solutions to the pulsar search venture.

scholarly journals Implementation of Thermal Event Image Processing Algorithms on NVIDIA Tegra Jetson TX2 Embedded System-on-a-Chip

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4416
Author(s):  
Bartłomiej Jabłoński ◽  
Dariusz Makowski ◽  
Piotr Perek
Keyword(s):  
Image Processing ◽  
Embedded System ◽  
Real Time ◽  
Plasma Diagnostics ◽  
Nuclear Fusion ◽  
Real Time Processing ◽  
Time Processing ◽  
Processing Algorithms ◽  
System On A Chip ◽  
Events Detection

Advances in Infrared (IR) cameras, as well as hardware computational capabilities, contributed towards qualifying vision systems as reliable plasma diagnostics for nuclear fusion experiments. Robust autonomous machine protection and plasma control during operation require real-time processing that might be facilitated by Graphics Processing Units (GPUs). One of the current aims of image plasma diagnostics involves thermal events detection and analysis with thermal imaging. The paper investigates the suitability of the NVIDIA Jetson TX2 Tegra-based embedded platform for real-time thermal events detection. Development of real-time processing algorithms on an embedded System-on-a-Chip (SoC) requires additional effort due to the constrained resources, yet low-power consumption enables embedded GPUs to be applied in MicroTCA.4 computing architecture that is prevalent in nuclear fusion projects. For this purpose, the authors have proposed, developed and optimised GPU-accelerated algorithms with the use of available software tools for NVIDIA Tegra systems. Furthermore, the implemented algorithms are evaluated and benchmarked on Wendelstein 7-X (W7-X) stellarator experimental data against the corresponding alternative Central Processing Unit (CPU) implementations. Considerable improvement is observed for the accelerated algorithms that enable real-time detection on the embedded SoC platform, yet some encountered limitations when developing parallel image processing routines are described and signified.

scholarly journals Complex for reception and real time processing of remote sensing data

2019 ◽  
Vol 75 ◽  
pp. 03003 ◽  
Author(s):  
Oleg Yakubailik ◽  
Victor Romas'ko ◽  
Evgeny Pavlichenko
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Real Time ◽  
Remote Sensing Data ◽  
Satellite Monitoring ◽  
Area Network ◽  
Science Center ◽  
Real Time Processing ◽  
Time Processing ◽  
Sensing Data

The basic problems and trends in the development of modern systems for the reception, storage and real-time processing of satellite data are considered. Abrupt increase in the capability of satellite systems, significant increase in the amount of satellite information and its availability, the development of data processing and presentation technologies, and the use of web technologies are discussed. Data sources of modern remote sensing systems of the Earth and the features of their practical use are considered. It is concluded that the most effective way to obtain real-time information from meteorological satellites are satellite stations that receive data in the X-band at a frequency of 8 GHz. The performance characteristics and capabilities of the equipment of the new satellite receiving complex at Krasnoyarsk Science Center are given. Use of up-to-date computer equipment (high-performance servers and storage systems, local area network with a bandwidth of 10 Gbit/s) and logical separation into the stages of data conversion (data reception, primary and thematic processing) provide the construction of a modern scalable data-processing system for remote sensing data. The paper presents the results of the work on creation of specialized software for information and analytical systems for real-time satellite monitoring.

scholarly journals Investigation on Processing of Real-Time Streaming Big Data

2018 ◽  
Vol 7 (3.13) ◽  
pp. 79
Author(s):  
Bhavani Buthukuri ◽  
Sivaram Rajeyyagari
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Stream Processing ◽  
Real Time Processing ◽  
Time Processing ◽  
High Data ◽  
Huge Data ◽  
Streaming Big Data ◽  
Two Stages

MapReduce is the most widely used for huge data processing and it is a part of the Hadoop big data and this will provide the quality and efficient results because of their processing functions. For the batch jobs, Hadoop is the proper and also there is inflated request for non-batch elements homogeneous interactive jobs, and high data currents. For this non-batch assignments, consider Hadoop is not useful and present situations are recommending to these new crises. In this paper, these are divided into two stages that are real-time processing, and stream processing of big data. For every stage, the models are deliberate, stability and diversity to Hadoop. For every group, we have provided the working systems and structures. For the creation of the new examples, some experiments are conducted to improve the new results belongs to available Hadoop-based solutions.      

scholarly journals Analisis Penerapan Electronic Data Processing (EDP) System dalam Pengolahan Data Penjualan dan Penerimaan Kas Pada PT Hadji Kalla Cabang Parepare

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Arfianty Arfan
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Electronic Data Processing ◽  
Electronic Data ◽  
Real Time Processing ◽  
Time Processing

Tujuan penelitian ini adalah untuk mengetahui mekanisme yang digunakan PT Hadji Kalla Cabang Parepare dalam pengolahan data penjualan dan penerimaan kas; dan mengetahui apakah penerapan electronic data processing (EDP) System pada PT Hadji Kalla Cabang Parepare telah mendukung pencapaian informasi akuntansi yang akurat. Adapun sumber data yang digunakan dalam penelitian ini meliputi place, paper, dan person. Teknik analisis data yang digunakan dalam penelitian ini adalah teknik analisis deskriptif kualitatif, yaitu metode analisis data yang menggambarkan dan menginterpretasikan serta membandingkan data-data penelitian yang diperoleh dari perusahaan dengan literatur-literatur yang ada untuk dianalisa sehingga memberikan keterangan bagi pemecahan masalah yang dihadapi. Setelah melalui proses pengumpulan, penyusunan, dan analisis data, maka diperoleh  hasil bahwa dalam penerapan electronic data processing (EDP) system, PT Hadji Kalla Cabang Parepare menggunakan mekanisme pengolahan data secara langsung (real time processing) yang dapat dibuktikan melalui tabel indikator real time processing yang telah disesuaikan berdasarkan hasil dari wawancara dan observasi,dan juga diperoleh hasil bahwa penerapan electronic data processing (EDP) telah mendukung pencapaian informasi akuntansi yang akurat berdasarkan komponen-komponen electronic data processing (EDP) system pada PT Hadji Kalla Cabang Parepare telah memadai.   

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