scholarly journals Flexible architecture for real-time synchronized processing of multimedia signals

2021 ◽  
Author(s):  
Mohamed Awad ◽  
Islam T. Abougindia ◽  
Ahmed Elliethy ◽  
Hussein A. Aly
Keyword(s):  
Real Time ◽  
Flexible Architecture

scholarly journals Development of Advanced Advisory System for Anomalies (AAA) to Predict and Detect the Abnormal Operation in Fired Heaters for Real Time Process Safety and Optimization

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7183
Author(s):  
Faraz Qasim ◽  
Doug Hyung Lee ◽  
Jongkuk Won ◽  
Jin-Kuk Ha ◽  
Sang Jin Park
Keyword(s):  
Real Time ◽  
Fault Tree Analysis ◽  
Petrochemical Plant ◽  
Process Safety ◽  
Time Process ◽  
Process Industries ◽  
Advisory System ◽  
Knowledge Based ◽  
Flexible Architecture ◽  
Abnormal Operation

As the technology is emerging, the process industries are actively migrating to Industry 4.0 to optimize energy, production, profit, and the quality of products. It should be noted that real-time process monitoring is the area where most of the energies are being placed for the sake of optimization and safety. Big data and knowledge-based platforms are receiving much attention to provide a comprehensive decision support system. In this study, the Advanced Advisory system for Anomalies (AAA) is developed to predict and detect the abnormal operation in fired heaters for real-time process safety and optimization in a petrochemical plant. This system predicts and raises an alarm for future problems and detects and diagnoses abnormal conditions using root cause analysis (RCA), using the combination of FMEA (failure mode and effects analysis) and FTA (fault tree analysis) techniques. The developed AAA system has been integrated with databases in a petrochemical plant, and the results have been validated well by testing the application over an extensive period. This AAA online system provides a flexible architecture, and it can also be integrated into other systems or databases available at different levels in a plant. This automated AAA platform continuously monitors the operation, checks the dynamic conditions configured in it, and raises an alarm if the statistics exceed their control thresholds. Moreover, the effect of heaters’ abnormal conditions on efficiency and other KPIs (key performance indicators) is studied to explore the scope of improvement in heaters’ operation.

scholarly journals Word-serial Architectures for Filtering and Variable Rate Decimation

VLSI Design ◽  
2002 ◽  
Vol 14 (4) ◽  
pp. 363-372 ◽  
Author(s):  
Eugene Grayver ◽  
Babak Daneshrad
Keyword(s):  
Low Power ◽  
Real Time ◽  
Data Rate ◽  
Variable Rate ◽  
Linear Phase ◽  
Filter Length ◽  
Need For Power ◽  
Flexible Architecture ◽  
Linear Phase Filters ◽  
Efficient Memory

A new flexible architecture is proposed for word-serial filtering and variable rate decimation/interpolation. The architecture is targeted for low power applications requiring medium to low data rate and is ideally suited for implementation on either an ASIC or an FPGA. It combines the small size and low power of an ASIC with the programmability and flexibility of a DSP. An efficient memory addressing scheme eliminates the need for power hungry shift registers and allows full reconfiguration. The decimation ratio, filter length and filter coefficients can all be changed in real time. The architecture takes advantage of coefficient symmetries in linear phase filters and in polyphase components.

A flexible architecture for real-time speech recognition

1993 ◽  
Vol 37 (1-5) ◽  
pp. 69-72 ◽  
Author(s):  
F. Moreno ◽  
S. Alexandres ◽  
J. Meneses
Keyword(s):  
Speech Recognition ◽  
Real Time ◽  
Flexible Architecture

Flexible Implementation of Industrial Real-Time Servo Drive System

2011 ◽  
pp. 476-508 ◽  
Author(s):  
Ahmed Karim Ben Salem ◽  
Hedi Abdelkrim ◽  
Slim Ben Saoud
Keyword(s):  
Real Time ◽  
Servo Drive ◽  
Embedded Processor ◽  
Field Programmable ◽  
Flexible Architecture ◽  
Function Blocks ◽  
On Chip ◽  
Intellectual Properties ◽  
Servo Drive System ◽  
Processor Cores

The research presented in this chapter deals with the design and implementation of Real-Time (RT) control systems applying advanced Field Programmable Gate Array (FPGAs). The chapter proposes a promising flexible architecture that uses RT Operating System (RTOS) and ready-to-use Intellectual Properties (IPs). The authors detail an approach that uses software closed control loop function blocks (FB), running on embedded processor cores. These FBs implement the different control drive sub-modules into RTOS tasks of the execution environment, where each task has to be executed under well defined conditions. Two RTOSes are evaluated: µC-OS/II and Xilkernel. The FPGA embedded processor cores are combined with reconfigurable logic and dedicated resources on the FPGA. This System-on-Chip (SoC) has been applied to electric motors drive. A comparative analysis, in terms of speed and cost, is carried-out between various hardware/software FPGA-based architectures, in order to enhance flexibility without sacrificing performance and increasing cost. Case studies results validate successfully the feasibility and the efficiency of the flexible approach for new and more complex control algorithms. The performance and flexibility of FPGA-based motor controllers are enhanced with the reliability and modularity of the introduced RTOS support.

INSIGHT: A DATAFLOW LANGUAGE FOR PROGRAMMING VISION ALGORITHMS IN A RECONFIGURABLE COMPUTATIONAL NETWORK

1987 ◽  
Vol 01 (03n04) ◽  
pp. 335-350 ◽  
Author(s):  
LINDA G. SHAPIRO ◽  
ROBERT M. HARALICK ◽  
MICHAEL J. GOULISH
Keyword(s):  
Machine Vision ◽  
Real Time ◽  
Parallel Machine ◽  
Industrial Applications ◽  
Parallel Architectures ◽  
High Level Language ◽  
Conceptual Approach ◽  
Flexible Architecture ◽  
Relational Form ◽  
High Level

Machine vision systems used in industrial applications must execute their algorithms in real time to perform such tasks as inspecting a wire bond or guiding a robot to install a part on a car body moving along a conveyer. The real time speed is achieved by employing simple-minded algorithms and by designing parallel architectures and parallel algorithms for some tasks. The majority of the work on parallel architectures has been limited to architectures that support image processing, but not mid- or high-level vision In order for more complex vision algorithms to execute in real time, a more flexible architecture is needed. Our conceptual approach to the problem is a reconfigurable computational network. Each configuration of the network implements an algorithm or class of algorithms A high-level language expresses the algorithms in a relational form that can be easily translated to the specification for a configuration. The language must be able to encode low-, mid-, and high-level vision algorithms and to efficiently handle not only pixel data, but also higher level structures. In this paper we describe a dataflow language called INSIGHT, which we have designed to meet these needs, and give several examples of parallel machine vision algorithms expressed in the language.

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

Video real-time imaging of artificial membranes during freeze-drying by cryo-electron microscopy

1988 ◽  
Vol 46 ◽  
pp. 16-17
Author(s):  
Alan S. Rudolph ◽  
Ronald R. Price
Keyword(s):  
Real Time ◽  
Self Assembly ◽  
Freeze Drying ◽  
Video Capture ◽  
Drying Process ◽  
Artificial Membranes ◽  
The Past ◽  
Cryo Electron Microscopy ◽  
Spherical Structures ◽  
Capture Techniques

We have employed cryoelectron microscopy to visualize events that occur during the freeze-drying of artificial membranes by employing real time video capture techniques. Artificial membranes or liposomes which are spherical structures within internal aqueous space are stabilized by water which provides the driving force for spontaneous self-assembly of these structures. Previous assays of damage to these structures which are induced by freeze drying reveal that the two principal deleterious events that occur are 1) fusion of liposomes and 2) leakage of contents trapped within the liposome [1]. In the past the only way to access these events was to examine the liposomes following the dehydration event. This technique allows the event to be monitored in real time as the liposomes destabilize and as water is sublimed at cryo temperatures in the vacuum of the microscope. The method by which liposomes are compromised by freeze-drying are largely unknown. This technique has shown that cryo-protectants such as glycerol and carbohydrates are able to maintain liposomal structure throughout the drying process.

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