Double Compression Algorithm with Linear Interpolation of Dynamic Threshold

2011 ◽  
Vol 225-226 ◽  
pp. 190-193 ◽  
Author(s):  
Shi Xi Tang ◽  
Ke Ming Tang
Keyword(s):  
Real Time ◽  
Compression Ratio ◽  
Linear Interpolation ◽  
Compression Algorithm ◽  
Dynamic Threshold ◽  
Time Data ◽  
Process Data ◽  
Double Compression ◽  
Compression Time ◽  
Reduction Effect

To solve the problem that the duration is too long when the change of the measuring process data of industrial real-time database appears slow, the double compression algorithm with linear interpolation of dynamic threshold is advanced. Good compression quality and reduction effect of process data is accessed. The compression and fitting times are less than 1ms, and the compression ratio is 6:1 on the 6000 real-time data compression. The compression time is short, and the compression ratio is high. The fitting error between each fitted value and the original value is within the threshold 1.0. The comprehensive performance is better than SLIM and Swinging Door compression algorithm.

A Novel Method to Compress Real-Time Process Data

2012 ◽  
Vol 430-432 ◽  
pp. 1298-1301
Author(s):  
Xiao Jian Zheng
Keyword(s):  
Real Time ◽  
Sampling Interval ◽  
Compression Algorithm ◽  
Time Process ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Novel Method

Most existing real-time data compressing algorithms are focused on dynamic and inconstancy of the process data, but a basic observation is ignored with some unexpectedness: on condition that sampling interval is not large, difference between amplitudes of real-time process data from two neighboring samples is relatively small, and most of data amplitudes are in the same range. In this paper we propose a compression algorithm based on the observation and experimentally evaluate the proposed approach and demonstrate that our algorithm is promising and efficient.

The Study of Motor Winding Testing System for Inter-Turn with 30kV

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Field Test ◽  
Performance Indicators ◽  
Testing System ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Long Time ◽  
Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

scholarly journals Bifrost: A Python/C++ Framework for High-Throughput Stream Processing in Astronomy

2017 ◽  
Vol 06 (04) ◽  
pp. 1750007 ◽  
Author(s):  
Miles D. Cranmer ◽  
Benjamin R. Barsdell ◽  
Danny C. Price ◽  
Jayce Dowell ◽  
Hugh Garsden ◽  
...  
Keyword(s):  
Real Time ◽  
High Throughput ◽  
Radio Astronomy ◽  
Scientific Productivity ◽  
Data Transport ◽  
Time Data ◽  
Process Data ◽  
Real Time Processing ◽  
Real Time Data Processing ◽  
High Level

Radio astronomy observatories with high throughput back end instruments require real-time data processing. While computing hardware continues to advance rapidly, development of real-time processing pipelines remains difficult and time-consuming, which can limit scientific productivity. Motivated by this, we have developed Bifrost: an open-source software framework for rapid pipeline development. (a) Bifrost combines a high-level Python interface with highly efficient reconfigurable data transport and a library of computing blocks for CPU and GPU processing. The framework is generalizable, but initially it emphasizes the needs of high-throughput radio astronomy pipelines, such as the ability to process data buffers as if they were continuous streams, the capacity to partition processing into distinct data sequences (e.g. separate observations), and the ability to extract specific intervals from buffered data. Computing blocks in the library are designed for applications such as interferometry, pulsar dedispersion and timing, and transient search pipelines. We describe the design and implementation of the Bifrost framework and demonstrate its use as the backbone in the correlation and beamforming back end of the Long Wavelength Array (LWA) station in the Sevilleta National Wildlife Refuge, NM.

Realization of Real-Time Data Exchange between OPC Client and Multiple Remote Servers

2013 ◽  
Vol 385-386 ◽  
pp. 1655-1658
Author(s):  
Da Hua Li ◽  
Hang Li ◽  
Kai Lin Zhang
Keyword(s):  
Process Control ◽  
Real Time ◽  
Data Exchange ◽  
Time Data ◽  
Process Data ◽  
Opc Server ◽  
Real Time Data ◽  
Opc Client ◽  
Opc Technology ◽  
Ole For Process Control

The submitting of OPC (OLE for Process Control) has promoted the progress of the data collection in process control and industrial automation, and formulated the industry standard for the process real-time data exchange. Aiming at the key problem of ensuring the use of application program as OPC client to link multi-remote OPC server and real-time collect process data in control system, OPC technology and the connection and access technology of multi-remote OPC server were introduced and analyzed in detail. This method has been successfully applied to develop the DCS I/O communication and control loop error test software, and provided better performance.

scholarly journals BUSINESS MODEL FRAMEWORK FOR USING REAL-TIME PROCESS DATA FOR DESIGN DECISION MAKING

2011 ◽  
Author(s):  
Matty Janssen ◽  
Paul Stuart
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Business Model ◽  
Environmental Data ◽  
Design Decision ◽  
Time Process ◽  
Time Data ◽  
Process Data ◽  
Model Framework ◽  
Business Decision

In recent years real-time data management systems have become commonplace at pulp and paper mills, and mills seek to use this important resource for improved operation of production facilities as well as for business decision-making. This paper presents a comprehensive and holistic approach to business modeling in which real-time process data, cost data, and environmental data are used in a “bottom-up” manner to exploit their potential for process decision-making. The paper describes a hypothetical case study in which the business model concept is illustrated by application to a process design problem at an integrated newsprint mill.

scholarly journals Multi-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Saeed Hamood Alsamhi ◽  
Faris A. Almalki ◽  
Hatem AL-Dois ◽  
Alexey V. Shvetsov ◽  
Mohammad Samar Ansari ◽  
...  
Keyword(s):  
Real Time ◽  
Network Performance ◽  
Network Connectivity ◽  
Wearable Devices ◽  
Time Data ◽  
Process Data ◽  
Coverage Area ◽  
Critical Technology ◽  
Improved Performance ◽  
Smart Wearable

Disasters, either manmade or natural, call for rapid and timely actions. Due to disaster, all of the communication infrastructures are destroyed, and there is no way for connection between people in disaster and others outside the disaster range. Drone technology is the critical technology for delivering communication services and guiding people and monitoring the unwanted effects of a disaster. The collaboration of advanced technologies can reduce life losses, save people’s lives, and manage the disaster crisis. The network performance of collaboration between the Internet of Things (IoT) and drone edge intelligence can help gather and process data, extend the wireless coverage area, deliver medical emergencies, provide real-time information about the emergency, and gather data from areas that are impossible for humans to reach. In this paper, we focus on the network performance for efficient collaboration of drone edge intelligence and smart wearable devices for disaster management. We focus mainly on network connectivity parameters for improving real-time data sharing between the drone edge intelligence and smart wearable devices. The relevant parameters that are considered in this study include delay, throughput, and the load from drone edge intelligence. It is further shown that network performance can have significant improvement when the abovementioned parameters are correctly optimised, and the improved performance can significantly improve the guiding/coordinating of search and rescue (SAR) teams effectively and efficiently.

A real-time data compression algorithm for gear fault signals

Measurement ◽  
2016 ◽  
Vol 88 ◽  
pp. 165-175 ◽  
Author(s):  
Shu Han ◽  
Xiaoming Liu ◽  
Jia Chen ◽  
Jin Wu ◽  
Xiaofei Ruan
Keyword(s):  
Data Compression ◽  
Real Time ◽  
Compression Algorithm ◽  
Time Data ◽  
Real Time Data ◽  
Gear Fault

scholarly journals Design of Data Acquisition System for Vehicle Driving Simulator

2021 ◽  
Vol 257 ◽  
pp. 01063
Author(s):  
Wanyou Xu ◽  
Dongsheng Wu ◽  
Lanlan Ping
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
High Speed ◽  
Driving Simulator ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Functional Requirements ◽  
Time Data ◽  
Process Data ◽  
Vehicle Driving Simulator

Data acquisition systems have a direct impact on interactivity and authenticity to the car driving simulator. According to the requirements of the vehicle driving simulator to complete the multi-channel data acquisition and processing with high speed and high precision, a set of real-time data acquisition system was designed. The system uses STM32F103ZET6 chip to process data acquisition, and communicates with the host computer through serial port. The experimental results show that the designed data acquisition system has good real-time performance, high accuracy and meets the expected functional 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.

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