Multiprocessor system for the real-time digital processing of video-image series / Ein Multiprozessorsystem für die digitale Verarbeitung von Fernsehbildserien in Echtzeit

1979 ◽  
Vol 21 (4) ◽  
Author(s):  
Nicolae G. C. ◽  
Κ. H. Höhne

In the course of a project for the analysis of X-ray picture series a new system for the digital processing of video-image series has been developed. It allows the real time digitization (up to 512 pixels/line, 8 bits/pixel), and high speed processing of video-picture series and a presentation of results in an easily interpretable way by a colour TV-display processor. As a characteristic of the system the extreme requirements concerning the digitization and processing speed (with data rates up to 80 Mbaud) are met by a realization in the form of a multiprocessor structure. The microprogrammed special processors communicate via a high speed asynchronous bus with a throughput of 15 Mwords/ s. Their functions are controlled by the commands of a host computer (e.g. PDP U/45). In order to achieve the above performance, structured design methods such as Petri-nets have been applied, which give rise to a more transparent design, better documentation and shorter implementation times. This paper describes the design, the structure, the programming and the application of the system.

2012 ◽  
Vol 580 ◽  
pp. 155-159
Author(s):  
Xiang Ming Wang ◽  
Jin Chao Wang ◽  
Dong Hua Sun

In this paper, the real-time EtherCAT technology is introduced in detail, which including operating principle, communication protocol and the superiority performance of EtherCAT i.e. synchronicity, simultaneousness and high speed. To show how to design a slave system that considering the characteristics of application, the method of developing systems based no EtherCAT technology are proposed. Finally, a data acquisition system based on EtherCAT technology is designed. Application of EtherCAT technology can improve the real-time characteristics of data communication in wind power system.


2005 ◽  
Vol 2 (1) ◽  
pp. 155-165
Author(s):  
Baghdad Science Journal

Many of accurate inertial guided missilc systems need to use more complex mathematical calculations and require a high speed processing to ensure the real-time opreation. This will give rise to the need of developing an effcint


Author(s):  
Chen Yuan ◽  
Jun Wu

Abstract A real-time hard X-ray (HXR) tomographic system is designed for HL-2A tokamak, which is dedicated to the real-time tomography of fast electron bremsstrahlung radiation during the lower hybrid (LH) driven mode within the energy range of 20keV to 200keV. This system has realized the investigation of HXR energy from 12 different chords on the equatorial plane of the reaction region. The spatial and temporal resolutions of the system are 2cm and 10ms, separately. HXR detection is accomplished by a self-designed detector array, with a structure of 12 arc arranged cadmium telluride (CdTe) semiconductors and their corresponding collimators. The real-time HXR acquisition and processing is achieved by the main electronic system, which is comprised of a high speed analog-to-digital module and a high performance signal processing unit. Due to high HXR flux and the real-time demand in measurement, the HXR tomography is accomplished by several customized digital processing algorithms based on FPGA logic resources, such as the digital real-time spectrum measurement, the trapezoidal shaper, the pile up filter, and the baseline restorer, etc. This system has been proved to be qualified as a dependable platform of fast electron bremsstrahlung radiation research during LH mode on HL-2A, which provides indispensable parameters for plasma state during fusion reaction.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Haibin Shi ◽  
Guang Cheng ◽  
Ying Hu ◽  
Fuzhou Wang ◽  
Haoxuan Ding

With the great changes in network scale and network topology, the difficulty of DDoS attack detection increases significantly. Most of the methods proposed in the past rarely considered the real-time, adaptive ability, and other practical issues in the real-world network attack detection environment. In this paper, we proposed a real-time adaptive DDoS attack detection method RT-SAD, based on the response to the external network when attacked. We designed a feature extraction method based on sketch and an adaptive updating algorithm, which makes the method suitable for the high-speed network environment. Experiment results show that our method can detect DDoS attacks using sampled Netflowunder high-speed network environment, with good real-time performance, low resource consumption, and high detection accuracy.


2011 ◽  
Vol 50-51 ◽  
pp. 573-577
Author(s):  
Mei Hong Li ◽  
Ye Du ◽  
Ji Qiang Liu ◽  
Xin Zheng

To resolve the color-register problem on web-press machine, a kind of networking register system was presented. Firstly, a special diamond mark was designed, which is easier to be embedded. Secondly, the high-speed cameras with external trigger signal were adopted to capture mark images under the control of synchronous encoder unit, at the same time the real-time deviation of color was obtained by analyzing the mark image. Lastly, the data of color deviation were transmitted to the press system over Ethernet. Thus, a close-loop and real-time system was built. Especially, an Ethernet solution for the press machine with many towers was proposed. According to the actual customer’s reports, waste of newspaper decreases greatly, in addition, print quality and print efficiency are both promoted.


2011 ◽  
Vol 467-469 ◽  
pp. 703-708
Author(s):  
Yang Xu ◽  
Ping Li ◽  
Jian Jun Yuan ◽  
Min Xiang

As the real-time image acquiring and processing need to be dealt with high speed, a image acquisition and preprocessing system is discussed in this paper. It is built on FPGA( field programmable gate array ) with pipelined and parallel technology. The configurable macro function modules provided by Altera company achieve the Sobel edge detection algorithm. The real-time display the image after edge detection works properly and The new design method shorten the development cycle.


2013 ◽  
Vol 860-863 ◽  
pp. 2892-2897 ◽  
Author(s):  
De Yong Liu ◽  
Hong Song ◽  
Quan Pan

with the development of intelligent transportation technology, which all countries are suitable for their own license plate recognition system is developed. But because of the CCD camera Angle problem will make license plate image tilt; Segmentation after do not match the characters in size and character discontinuity, led to license plate recognition rate is not high, speed slow, reduce the real-time performance of the system. In order to improve the rate of convergence, the recognition rate presents a license plate recognition algorithm based on BP neural network. First put the image correction, segmentation of character normalization processing and eliminate the unfavorable factors, then puts forward characteristics of characters input for training the BP neural network. By setting the network weights and training transfer function, improved algorithm to improve the recognition rate of the system, as well as the real-time performance.


2011 ◽  
Vol 403-408 ◽  
pp. 1281-1284
Author(s):  
Guo Sheng Xu

To speed up the image acquisition and make full use of effective information, a design method of CCD partial image scanning system is presented. The system achieves to functions of the high -speed data collection, the high -speed video data compression the real time video data Network Transmission and the real time compression picture data storage. the data processed was transferred to PC through USB2.0 real-time to reconstruct defects microscopic images. Experiments show that the system has stable performance, real-time data transmission and high quality images, feasible by adopting the algorithm and scheme proposed in this paper.


2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Zhongwei Liang ◽  
Liang Zhou ◽  
Xiaochu Liu ◽  
Xiaogang Wang

It is obvious that tablet image tracking exerts a notable influence on the efficiency and reliability of high-speed drug mass production, and, simultaneously, it also emerges as a big difficult problem and targeted focus during production monitoring in recent years, due to the high similarity shape and random position distribution of those objectives to be searched for. For the purpose of tracking tablets accurately in random distribution, through using surface fitting approach and transitional vector determination, the calibrated surface of light intensity reflective energy can be established, describing the shape topology and topography details of objective tablet. On this basis, the mathematical properties of these established surfaces have been proposed, and thereafter artificial neural network (ANN) has been employed for classifying those moving targeted tablets by recognizing their different surface properties; therefore, the instantaneous coordinate positions of those drug tablets on one image frame can then be determined. By repeating identical pattern recognition on the next image frame, the real-time movements of objective tablet templates were successfully tracked in sequence. This paper provides reliable references and new research ideas for the real-time objective tracking in the case of drug production practices.


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