Custom 12-Bit, 500MHZ ADC/Data Processing Module for the KOTO Experiment at J-Parc

2010 ◽  
Author(s):  
Mircea Bogdan ◽  
Jean-Francois Genat ◽  
Yau Wah
Keyword(s):  
Data Processing ◽  
Processing Module

Detection of cardiovascular drugs and marine toxins using a multifunctional cell-based impedance biosensor system

2015 ◽  
Vol 7 (18) ◽  
pp. 7715-7723 ◽  
Author(s):  
Hongbo Li ◽  
Quchao Zou ◽  
Ling Zou ◽  
Qin Wang ◽  
Kaiqi Su ◽  
...  
Keyword(s):  
Data Processing ◽  
Cardiovascular Drugs ◽  
System Structure ◽  
Marine Toxins ◽  
System P ◽  
Biosensor System ◽  
Processing Module ◽  
Detection Instrument

The system structure of the CIB detection instrument: cell-based impedance biosensor units, hardware module, and data processing module.

scholarly journals Multi-group cross section library generation for HTGR lattice physics code XPZ

2021 ◽  
Vol 2048 (1) ◽  
pp. 012028
Author(s):  
Lerui Zhang ◽  
Ding She ◽  
Lei Shi ◽  
Richard Chambon ◽  
Alain Hébert
Keyword(s):  
Data Processing ◽  
Cross Section ◽  
Nuclear Data ◽  
Automatic Generation ◽  
Detailed Data ◽  
Processing Scheme ◽  
Processing Module ◽  
Complete Set ◽  
Evaluated Nuclear Data ◽  
High Temperature Gas

Abstract The XPZ code was previously developed for the lattice physics computation in High Temperature Gas-cooled Reactors (HTGRs), which adopted the multi-group cross section library converted from the existing open-source DRAGON library. In this paper, a new format of multi-group cross section library named XPZLIB has been implemented in XPZ code. XPZLIB is designed in binary and HDF5 formats, including detailed data contents for resonance, transport and depletion calculations. A new data-processing module named XPZR is developed based on NJOY-2016 to generate nuclide dependent XPZLIB from the most recent evaluated nuclear data, and besides, the PyNjoy-2016 system is developed for automatic generation of integrated XPZLIB including a complete set of nuclides. The new generated XPZLIB is presented with the XPZ code. Numerical results demonstrate the accuracy of the new library XPZLIB and the reliability of the data processing scheme. Moreover, the influence of different versions of ENDF/B data is investigated.

scholarly journals High-Speed Data Processing Module for LLRF

2015 ◽  
Vol 62 (3) ◽  
pp. 1083-1090 ◽  
Author(s):  
D. Makowski ◽  
A. Mielczarek ◽  
P. Perek ◽  
A. Napieralski ◽  
L. Butkowski ◽  
...  
Keyword(s):  
Data Processing ◽  
High Speed ◽  
Processing Module ◽  
High Speed Data

Aquarium: an automatic data-processing and experiment information management system for biological macromolecular crystallography beamlines

2019 ◽  
Vol 52 (2) ◽  
pp. 472-477 ◽  
Author(s):  
Feng Yu ◽  
Qisheng Wang ◽  
Minjun Li ◽  
Huan Zhou ◽  
Ke Liu ◽  
...  
Keyword(s):  
Data Processing ◽  
Information Management ◽  
Web Site ◽  
Management System ◽  
Information Management System ◽  
Automatic Data Processing ◽  
Data Sets ◽  
Macromolecular Crystallography ◽  
Automatic Data ◽  
Processing Module

With the popularity of hybrid pixel array detectors, hundreds of diffraction data sets are collected at a biological macromolecular crystallography (MX) beamline every day. Therefore, the manual processing and recording procedure will be a very time-consuming and error-prone task. Aquarium is an automatic data processing and experiment information management system designed for synchrotron radiation source MX beamlines. It is composed of a data processing module, a daemon module and a web site module. Before experiments, the sample information can be registered into a database. The daemon module will submit data processing jobs to a high-performance cluster as soon as the data set collection is completed. The data processing module will automatically process data sets from data reduction to model building if the anomalous signal is available. The web site module can be used to monitor and inspect the data processing results.

scholarly journals Machine-Learning Classifiers for Malware Detection Using Data Features

2021 ◽  
Vol 15 (3) ◽  
pp. 265-290
Author(s):  
Saleh Abdulaziz Habtor ◽  
Ahmed Haidarah Hasan Dahah
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Data Processing ◽  
Evaluation Framework ◽  
Artificial Learning ◽  
Processing Module ◽  
N Gram ◽  
Using Data ◽  
Complete Process

The spread of ransomware has risen exponentially over the past decade, causing huge financial damage to multiple organizations. Various anti-ransomware firms have suggested methods for preventing malware threats. The growing pace, scale and sophistication of malware provide the anti-malware industry with more challenges. Recent literature indicates that academics and anti-virus organizations have begun to use artificial learning as well as fundamental modeling techniques for the research and identification of malware. Orthodox signature-based anti-virus programs struggle to identify unfamiliar malware and track new forms of malware. In this study, a malware evaluation framework focused on machine learning was adopted that consists of several modules: dataset compiling in two separate classes (malicious and benign software), file disassembly, data processing, decision making, and updated malware identification. The data processing module uses grey images, functions for importing and Opcode n-gram to remove malware functionality. The decision making module detects malware and recognizes suspected malware. Different classifiers were considered in the research methodology for the detection and classification of malware. Its effectiveness was validated on the basis of the accuracy of the complete process.

Development of Protocol-Independent Modular Architecture for Three Axis Force Sensor Data Processing

2021 ◽  
Vol 12 (1) ◽  
pp. 3-7
Author(s):  
P. A. Trunin ◽  
◽  
L. S. Prokhorenko ◽  
D. S. Mishchenkov ◽  
D. D. Klimov ◽  
...  
Keyword(s):  
Data Processing ◽  
Data Transmission ◽  
Force Sensor ◽  
Sensor Data ◽  
Modular Architecture ◽  
Additional Processing ◽  
Processing Module ◽  
Abstract Class ◽  
Program Modules ◽  
Practical Recommendations

The protocol-independent architecture for three axis force sensor data processing is considered. The force sensor is based on a MLX90393 triaxial magnetic sensor, capable of transmitting data via SPI protocol or I2C protocol, depending on the force sensor modification. The data generated by the MLX90393 requires additional processing before usage. To address this issue a software library is developed. Such a library shall provide means for protocol selection based on the force sensor modification. Three alternative architectural library implementations are consid­ered: the two independent program modules for both SPI and I2C protocol data transmission and processing, the two dependent program modules for SPI and I2C data transmission and one template-based module for the data processing, the two dependent program modules for SPI and I2C data transmission based on a single abstract class and the data processing module working with a pointer to the abstract class implementation. Three experimental library implementations are developed, nine experiments are performed with varying library usage setups, supplemented with one experiment with no data processing for the reference. Various criteria are considered, both quantitative and qualitative, including, but not limited to the compiled program size and the ease of library integration. The experimental results are analysed with the help of stated criteria, conclusions and practical recommendations are made.

Development of a smart geoinformation system module for forest taxing data processing

2021 ◽  
pp. 3-13
Author(s):  
Marsel Vagizov ◽  
Evgeny Istomin ◽  
Olga Kolbina ◽  
Natalya Yagotinсeva ◽  
Anna Morshchihina ◽  
...  
Keyword(s):  
Data Processing ◽  
Data Interpretation ◽  
Geoinformation System ◽  
Geospatial Information ◽  
Information Display ◽  
Use Of Data ◽  
Processing Module ◽  
System Module ◽  
User Friendly

The authors of the article offer a specialized geoinformation system for use in forestry. A distinctive feature of the proposed system is the use of data processing module included in the GIS. Forestry requires to improve the quality of management and monitoring of forest resources, to enhance the perception of geoinformation in a user friendly form. One of the perspective technologies of geospatial information display is infograms displaying the evaluation of the territory under analysis. Such way of display requires a specialized interface, technologies of processing and data interpretation included in structure of the program, and specific characteristics of the system offered by the authors of this work.

FPGA-based data processing module design of on-board radiometric calibration in visible/near infrared bands

2015 ◽  
Author(s):  
Guoqing Zhou ◽  
Chenyang Li ◽  
Tao Yue ◽  
Na Liu ◽  
Linjun Jiang ◽  
...  
Keyword(s):  
Data Processing ◽  
Near Infrared ◽  
Radiometric Calibration ◽  
Module Design ◽  
Processing Module

scholarly journals The Iterative Processing Framework: A New Paradigm for Automatic Event Building

2019 ◽  
Vol 109 (6) ◽  
pp. 2501-2509
Author(s):  
Rigobert Tibi ◽  
Andre Encarnacao ◽  
Sanford Ballard ◽  
Christopher J. Young ◽  
Ronald Brogan ◽  
...  
Keyword(s):  
Data Processing ◽  
New Paradigm ◽  
Arrival Times ◽  
Iterative Processing ◽  
Additional Signal ◽  
Time Period ◽  
Processing Module ◽  
International Data ◽  
International Data Center ◽  
Processing Framework

Abstract In a traditional data‐processing pipeline, waveforms are acquired, a detector makes the signal detections (i.e., arrival times, slownesses, and azimuths) and passes them to an associator. The associator then links the detections to the fitting‐event hypotheses to generate an event bulletin. Most of the time, this traditional pipeline requires substantial human‐analyst involvement to improve the quality of the resulting event bulletin. For the year 2017, for example, International Data Center (IDC) analysts rejected about 40% of the events in the automatic bulletin and manually built 30% of the legitimate events. We propose an iterative processing framework (IPF) that includes a new data‐processing module that incorporates automatic analyst behaviors (auto analyst [AA]) into the event‐building pipeline. In the proposed framework, through an iterative process, the AA takes over many of the tasks traditionally performed by human analysts. These tasks can be grouped into two major processes: (1) evaluating small events with a low number of location‐defining arrival phases to improve their formation; and (2) scanning for and exploiting unassociated arrivals to form potential events missed by previous association runs. To test the proposed framework, we processed a two‐week period (15–28 May 2010) of the signal‐detections dataset from the IDC. Comparison with an expert analyst‐reviewed bulletin for the same time period suggests that IPF performs better than the traditional pipelines (IDC and baseline pipelines). Most of the additional events built by the AA are low‐magnitude events that were missed by these traditional pipelines. The AA also adds additional signal detections to existing events, which saves analyst time, even if the event locations are not significantly affected.

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