scholarly journals Virtual CSU-CHILL Radar: The VCHILL

2005 ◽  
Vol 22 (7) ◽  
pp. 979-987 ◽  
Author(s):  
V. Chandrasekar ◽  
Yoong-Goog Cho ◽  
D. Brunkow ◽  
A. Jayasumana
Keyword(s):  
Real Time ◽  
Radar Data ◽  
Graphic User Interface ◽  
Research Experience ◽  
Time Data ◽  
System Architectures ◽  
Colorado State University ◽  
Radar Images ◽  
Atmospheric Remote Sensing ◽  
High Bandwidth

Abstract The Virtual CHILL (VCHILL) system makes it possible to transfer the educational and research experience of the Colorado State University dual polarization radar to remote locations over the Internet. The VCHILL operation includes remote control of radar and display of radar images, as well as the ability to locally process high-bandwidth radar data transferred over data networks. The low-bandwidth VCHILL operation allows the distant users to access the archived and real-time data estimated at the radar site and simultaneously display them on their local systems. A parallel receiver was developed exclusively for the high-bandwidth VCHILL. End-system architectures were designed to accommodate the demands of the high-bandwidth VCHILL operations in real time. A graphic user interface was also developed with the objective of easy installation and usage at various end-user institutions. The VCHILL not only expands the education experience provided by the radar system, but also stimulates the development of innovative research applications for atmospheric remote sensing. The VCHILL is being used by several universities for research and education.

scholarly journals Real-Time Data Processing

2021 ◽  
pp. 147-156
Author(s):  
Fabiana Fournier ◽  
Inna Skarbovsky
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Processing System ◽  
Event Processing ◽  
Time Data ◽  
System Architectures ◽  
Real Time Processing ◽  
Operational Decision Making ◽  
Real Time Data Processing ◽  
High Level

AbstractTo remain competitive, organizations are increasingly taking advantage of the high volumes of data produced in real time for actionable insights and operational decision-making. In this chapter, we present basic concepts in real-time analytics, their importance in today’s organizations, and their applicability to the bioeconomy domains investigated in the DataBio project. We begin by introducing key terminology for event processing, and motivation for the growing use of event processing systems, followed by a market analysis synopsis. Thereafter, we provide a high-level overview of event processing system architectures, with its main characteristics and components, followed by a survey of some of the most prominent commercial and open source tools. We then describe how we applied this technology in two of the DataBio project domains: agriculture and fishery. The devised generic pipeline for IoT data real-time processing and decision-making was successfully applied to three pilots in the project from the agriculture and fishery domains. This event processing pipeline can be generalized to any use case in which data is collected from IoT sensors and analyzed in real-time to provide real-time alerts for operational decision-making.

An Integrated Display and Analysis Methodology for Multivariable Radar Data

2007 ◽  
Vol 46 (8) ◽  
pp. 1196-1213 ◽  
Author(s):  
Brenda A. Dolan ◽  
Steven A. Rutledge
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Cross Sections ◽  
Three Dimensional ◽  
Radar Data ◽  
Control Measures ◽  
Integrated Analysis ◽  
Colorado State University ◽  
Depth Analysis ◽  
Rain Rates

Abstract Polarimetric Doppler radars provide valuable information about the kinematic and microphysical structure of storms. However, in-depth analysis using radar products, such as Doppler-derived wind vectors and hydrometeor identification, has been difficult to achieve in (near) real time, mainly because of the large volumes of data generated by these radars, lack of quick access to these data, and the challenge of applying quality-control measures in real time. This study focuses on modifying and automating several radar-analysis and quality-control algorithms currently used in postprocessing and merging the resulting data from several radars into an integrated analysis and display in (near) real time. Although the method was developed for a specific network of four Doppler radars: two Weather Surveillance Radar-1988 Doppler (WSR-88D) radars (KFTG and KCYS) and two Colorado State University (CSU) research radars [Pawnee and CSU–University of Chicago–Illinois State Water Survey (CSU–CHILL)], the software is easily adaptable to any radar platform or network of radars. The software includes code to synthesize radial velocities to obtain three-dimensional wind vectors and includes algorithms for automatic quality control of the raw polarimetric data, hydrometeor identification, and rainfall rate. The software was successfully tested during the summers of 2004 and 2005 at the CSU–CHILL radar facility, ingesting data from the four-radar network. The display software allows users the ability to view mosaics of reflectivity, wind vectors, and rain rates, to zoom in and out of radar features easily, to create vertical cross sections, to contour data, and to archive data in real time. Despite the lag time of approximately 10 min, the software proved invaluable for diagnosing areas of intense rainfall, hail, strong updrafts, and other features such as mesocyclones and convergence lines. A case study is presented to demonstrate the utility of the software.

scholarly journals Visualization of SCANTER and ARPA Radar Data in the Distributed Teleinformation System for the Border Guard

2019 ◽  
Vol 218 (3) ◽  
pp. 69-80
Author(s):  
Bartosz Czaplewski ◽  
Sylwester Kaczmarek ◽  
Jacek Litka
Keyword(s):  
Real Time ◽  
Data Visualization ◽  
General Principle ◽  
Data Transmission ◽  
Data Flow ◽  
Radar Data ◽  
Time Data ◽  
Research Project ◽  
Stage Of Development ◽  
Real Time Data

Abstract Monitoring of country maritime border is an important task of the Border Guard. This activity can be enhanced with the use of the technology enabling gathering information from distributed sources, processing of that information and its visualization. The paper presents the next stage of development of the STRADAR project (Streaming of real-time data transmission in distributed dispatching and teleinformation systems of the Border Guard), which is realized for the security and defence of the country. In the paper, storing, processing and visualization of the radar data, which is one of the tasks of the discussed scientific and research project, is described. Firstly, the general principle of radar data flow in the system was presented. Secondly, technical software description was described. Finally, radar data visualization functionality was presented.

Radar-based alert system to operate a sewerage network: relevance and operational effectiveness after several years of use

2005 ◽  
Vol 51 (2) ◽  
pp. 203-211
Author(s):  
D. Faure ◽  
O. Payrastre ◽  
P. Auchet
Keyword(s):  
Real Time ◽  
Catchment Area ◽  
Urban Community ◽  
Radar Data ◽  
Automatic Identification ◽  
Alert System ◽  
Operational Effectiveness ◽  
Radar Images ◽  
Line Analysis ◽  
Sewerage Network

Since January 2000, the sewerage network of a very urbanised catchment area in the Greater Nancy Urban Community has been operated according to the alarms generated in real time by a storm alert system using weather radar data. This alert system is based on an automatic identification of intense rain cells in the radar images. This paper presents the characteristics of this alert system and synthesises the main results of two complementary studies realised in 2002 in order to estimate the relevance and the operational effectiveness of the alert system. The first study consisted in an off-line analysis of almost 50,000 intense rain cells detected in four years of historical radar data. The second study was an analysis of the experience feedback after two years of operational use of this alert system. The results of these studies are discussed in function of the initial operational objectives.

Design of LIDR Monitoring System Based on GPRS

2014 ◽  
Vol 624 ◽  
pp. 352-355
Author(s):  
Li Ming Ding ◽  
Zun Yang Zhang ◽  
Jian Dong Mao ◽  
Hong Jiang Sheng
Keyword(s):  
Real Time ◽  
Point Cloud ◽  
Modular Design ◽  
Cloud Model ◽  
Radar Data ◽  
Laser Radar ◽  
Point Cloud Data ◽  
Time Data ◽  
Cloud Data ◽  
Programming Techniques

Through the analysis of processing 3D point cloud data obtained by laser radar and establishment of the point cloud model to calculate the volume and displacement to monitor the particular scene in accordance with the detection strategy of the dangerous situation, This article wants to develop a set of all-weather, real-time early monitor system, in order to timely risk information publish, reduce the losses caused by disasters. The system uses a modular design approach, which is divided into the information collection module, the information processing module, the analysis of early warning modules and information transmission module. The paper details the system design, and application in the design and implementation of technology and point cloud data processing algorithm. The system use serial programming techniques for laser radar data and control PTZ, and multi-threading technology to improve the efficiency of the serial communication and resolve the problem of multi-serial real-time data collection.

scholarly journals Emulator and Simulator of Term a SCANTER and ARPA Radar Data Server

2019 ◽  
Vol 218 (3) ◽  
pp. 95-112
Author(s):  
Maciej Sac ◽  
Sylwester Kaczmarek ◽  
Marcin Narloch
Keyword(s):  
Real Time ◽  
Surveillance System ◽  
Radar Data ◽  
Functional Test ◽  
Test Results ◽  
Time Data ◽  
Video Distribution ◽  
Real Time Data ◽  
Multimedia Surveillance

Abstract The software solutions presented in this paper generate real-time data compatible with ARPA radar standard as well as Terma SCANTER 2001 radar cooperating with Video Distribution and Tracking (VDT) server. Two different approaches to this problem are considered: emulation based on the data captured from real devices and simulation of objects on the sea. For both of them architecture, implementation details and functional test results are presented. The developed software will be used to test new functionalities of the multimedia surveillance system implemented for the Maritime Division of the Polish Border Guard within the STRADAR project.

A visualization platform for internet of things in manufacturing applications

2016 ◽  
Vol 26 (2) ◽  
pp. 377-401 ◽  
Author(s):  
Zhuming Bi ◽  
Guoping Wang ◽  
Li Da Xu
Keyword(s):  
Real Time ◽  
Transportation Systems ◽  
Graphic User Interface ◽  
Functional Modules ◽  
Time Data ◽  
Content Type ◽  
Manufacturing Applications ◽  
Manufacturing Environments ◽  
And Storage

Purpose – The purpose of this paper is to present a visualization platform to control and monitor wireless sensor networks (WSNs) in manufacturing applications. Design/methodology/approach – To make the platform flexible and versatile, a modular framework is adopted in modeling and visualizing WSNs. The Eclipse programming environment is used to maximize the scalability and adaptability of the platform. A set of the core functional modules have been designed and implemented to support the system operation. The platform is validated through a case study simulation. Findings – The platform is capable of accommodating different operating systems such as Windows and Linux. It allows integrating new plug-ins developed in various languages such as Java, C, C++, and Matlab. The Graphic User Interface has been applied to process and visualize the acquired real-time data from a WSN, and the embodied methodologies can be used to predict the behaviors of objects in the network. Research limitations/implications – The work has shown the feasibility and potential of the proposed platform in improving the real-time performance of WSN. However, the number of the developed functional modules is limited, and additional effort is required to develop sophisticated functional modules or sub-systems for a customized application. Practical implications – The platform can be applied to monitor and visualize various WSN applications in manufacturing environments such as automated workcells, transportation systems, logistic, and storage systems. Originality/value – The work is motivated by the scarce research on the development tools for monitoring and visualization of WSNs in manufacturing applications. The proposed platform serves for both of system developers and users. It is modularized with a set of core functional modules; it can be extended to accommodate new functional modules with a minimal effort for a different application.

Design and Implementation of FFT Module Based on Virtex Series FPGA

2012 ◽  
Vol 241-244 ◽  
pp. 2654-2658
Author(s):  
Xu Hui Zhang ◽  
Ming Yang Wu ◽  
Hai Jun Lin ◽  
Zhen Zhen Tang
Keyword(s):  
Real Time ◽  
High Speed ◽  
Imaging System ◽  
Radar Data ◽  
Matlab Simulation ◽  
Time Data ◽  
Real Time Processing ◽  
Data Output ◽  
Stable Performance ◽  
New Generation

In order to achieve real-time data output in synthetic aperture radar (SAR) imaging system, high-speed FFT transformation is needed. In this article, we proposed the program that uses the new generation of high-speed, large-capacity Virtex series FPGA to implement radix-4 FFT algorithm and simulated it with the Modelsim software, and then through the comparative analysis of simulation results by MATLAB. After analyzing the results compared with MATLAB simulation, it shows that FFT module has stable performance, fast operation and fully meets the radar data real-time processing requirements.

Ambulatory Assessment

2009 ◽  
Vol 14 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Ulrich W. Ebner-Priemer ◽  
Timothy J. Trull
Keyword(s):  
Real Time ◽  
Clinical Psychology ◽  
Real Life ◽  
Ambulatory Assessment ◽  
Computer Assisted ◽  
Affective Valence ◽  
Time Data ◽  
Physiological Processes ◽  
Context Specific ◽  
Questionnaire Studies

Convergent experimental data, autobiographical studies, and investigations on daily life have all demonstrated that gathering information retrospectively is a highly dubious methodology. Retrospection is subject to multiple systematic distortions (i.e., affective valence effect, mood congruent memory effect, duration neglect; peak end rule) as it is based on (often biased) storage and recollection of memories of the original experience or the behavior that are of interest. The method of choice to circumvent these biases is the use of electronic diaries to collect self-reported symptoms, behaviors, or physiological processes in real time. Different terms have been used for this kind of methodology: ambulatory assessment, ecological momentary assessment, experience sampling method, and real-time data capture. Even though the terms differ, they have in common the use of computer-assisted methodology to assess self-reported symptoms, behaviors, or physiological processes, while the participant undergoes normal daily activities. In this review we discuss the main features and advantages of ambulatory assessment regarding clinical psychology and psychiatry: (a) the use of realtime assessment to circumvent biased recollection, (b) assessment in real life to enhance generalizability, (c) repeated assessment to investigate within person processes, (d) multimodal assessment, including psychological, physiological and behavioral data, (e) the opportunity to assess and investigate context-specific relationships, and (f) the possibility of giving feedback in real time. Using prototypic examples from the literature of clinical psychology and psychiatry, we demonstrate that ambulatory assessment can answer specific research questions better than laboratory or questionnaire studies.

Sign in / Sign up

Export Citation Format

Share Document