scholarly journals The Fast Detection and Identification Algorithm of Optical Fiber Intrusion Signals

Algorithms ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 129
Author(s):  
Zhiyong Sheng ◽  
Dandan Qu ◽  
Yuan Zhang ◽  
Dan Yang
Keyword(s):  
Optical Fiber ◽  
Embedded System ◽  
Real Time ◽  
Digital Signal Processor ◽  
Warning System ◽  
Vibration Signal ◽  
Identification Algorithm ◽  
The Real ◽  
Detection And Identification ◽  
Time Requirements

With the continuous development of optical fiber sensing technology, the Optical Fiber Pre-Warning System (OFPS) has been widely used in various fields. The OFPS identifies the type of intrusion based on the detected vibration signal to monitor the surrounding environment. Aiming at the real-time requirements of OFPS, this paper presents a fast algorithm to accelerate the detection and recognition processing of optical fiber intrusion signals. The algorithm is implemented in an embedded system that is composed of a digital signal processor (DSP). The processing flow is divided into two parts. First, the dislocation processing method is adopted for the sum processing of original signals, which effectively improves the real-time performance. The filtered signals are divided into two parts and are parallel processed by two DSP boards to save time. Then, the data is input into the identification module for feature extraction and classification. Experiments show that the algorithm can effectively detect and identify the optical fiber intrusion signals. At the same time, it accelerates the processing speed and meets the real-time requirements of OFPS for detection and identification.

Research on Improved Genetic Algorithm

2014 ◽  
Vol 635-637 ◽  
pp. 1760-1763
Author(s):  
Xiao Yu Wang ◽  
Yong Hui Yang ◽  
Shuo Li ◽  
Chuang Gao
Keyword(s):  
Genetic Algorithm ◽  
Embedded System ◽  
Real Time ◽  
Cost Reduction ◽  
Function Optimization ◽  
Improved Genetic Algorithm ◽  
The Real ◽  
Crossover Rate ◽  
Time Requirements ◽  
Improved Algorithm

An improved genetic algorithm for the function optimization of multi-core embedded system is proposed. A number of chromosomes that distribute uniformly in space are generated by the algorithm randomly. Each chromosome is randomly coded and a new one will be generated by mutual calculation. After continuous elimination and circulation, the optimized chromosomes can be selected. The improved algorithm makes the mutation offspring have the opportunity to be the next parent with the increase of mutation. It enhances the parent diversity, increases the crossover rate, activates crossover between the parents and has chance to access to the best solution. The efficiency and cost reduction performance are improved. The different tasks will be distributed in parallel to available processors so as to meet the real-time requirements.

A Survey of Real-Time Industrial Wireless LAN Research

2015 ◽  
Vol 738-739 ◽  
pp. 1105-1110 ◽  
Author(s):  
Yuan Qing Qin ◽  
Ying Jie Cheng ◽  
Chun Jie Zhou
Keyword(s):  
Real Time ◽  
Future Development ◽  
Wireless Lan ◽  
State Of The Art ◽  
The State ◽  
Local Networks ◽  
The Real ◽  
Time Requirements ◽  
And Performance ◽  
Fundamental Mechanism

This paper mainly surveys the state-of-the-art on real-time communicaton in industrial wireless local networks(WLANs), and also identifys the suitable approaches to deal with the real-time requirements in future. Firstly, this paper summarizes the features of industrial WLANs and the challenges it encounters. Then according to the real-time problems of industrial WLAN, the fundamental mechanism of each recent representative resolution is analyzed in detail. Meanwhile, the characteristics and performance of these resolutions are adequately compared. Finally, this paper concludes the current of the research and discusses the future development of industrial WLANs.

Real-time engine model development based on time complexity analysis

2021 ◽  
pp. 146808742110397
Author(s):  
Haotian Chen ◽  
Kun Zhang ◽  
Kangyao Deng ◽  
Yi Cui
Keyword(s):  
Real Time ◽  
Time Complexity ◽  
Complexity Analysis ◽  
High Accuracy ◽  
The Real ◽  
Cycle Simulation ◽  
Crank Angle ◽  
Time Requirements ◽  
Improved Model ◽  
Simulation Time

Real-time simulation models play an important role in the development of engine control systems. The mean value model (MVM) meets real-time requirements but has limited accuracy. By contrast, a crank-angle resolved model, such as the filling -and-empty model, can be used to simulate engine performance with high accuracy but cannot meet real-time requirements. Time complexity analysis is used to develop a real-time crank-angle resolved model with high accuracy in this study. A method used in computer science, program static analysis, is used to theoretically determine the computational time for a multicylinder engine filling-and-empty (crank-angle resolved) model. Then, a prediction formula for the engine cycle simulation time is obtained and verified by a program run test. The influence of the time step, program structure, algorithm and hardware on the cycle simulation time are analyzed systematically. The multicylinder phase shift method and a fast calculation method for the turbocharger characteristics are used to improve the crank-angle resolved filling-and-empty model to meet real-time requirements. The improved model meets the real-time requirement, and the real-time factor is improved by 3.04 times. A performance simulation for a high-power medium-speed diesel engine shows that the improved model has a max error of 5.76% and a real-time factor of 3.93, which meets the requirement for a hardware-in-the-loop (HIL) simulation during control system development.

Application of Optical Fiber Sensing Real-Time Monitoring Technology Using in Ripley Landslide

2014 ◽  
Vol 610 ◽  
pp. 199-204 ◽  
Author(s):  
Xiao Fei Zhang ◽  
Zhong Hu Lv ◽  
Xian Wei Meng ◽  
Fan Jiang ◽  
Qing Zhang
Keyword(s):  
Optical Fiber ◽  
Real Time ◽  
Monitoring System ◽  
Landslide Monitoring ◽  
Real Time Monitoring ◽  
The Real ◽  
Fiber Sensing ◽  
Sensing Technology ◽  
Database Technology ◽  
Optical Fiber Sensing

Nowadays, fiber optic technology has been used in sensing. Using the distributed optical fiber sensing technology in the landslide monitoring, the linear strain distribution information of the whole landslide can be obtained, and adopting the Fiber Bragg Grating sensing technology in the landslide monitoring, the key pot strain and displacement information can be gained. This paper firstly reviews the basic principle of optical fiber sensing, and then describes the optical fiber sensing real-time monitoring system by combining with FBG technology, BOTDR technology, database technology and web server technology, and finally presents a field application experiment using the real-time monitoring system in Ripley landslide in Canada. The experiment indicated that the real-time monitoring system can be realized real-time monitoring of FBG and BOTDR for landslide, and the experience can be extended to other landslide.

Remote Update on Flash-Based Hydrologic Remote Terminal through GPRS Technology

2013 ◽  
Vol 846-847 ◽  
pp. 1711-1715 ◽  
Author(s):  
Wen Jie Ji ◽  
Xiao Qiong Li ◽  
Jing Yang Chen
Keyword(s):  
Internet Of Things ◽  
Natural Disasters ◽  
Real Time ◽  
Complex Terrain ◽  
Warning System ◽  
The Internet ◽  
The Real ◽  
Remote Terminal ◽  
Safety And Reliability ◽  
The Internet Of Things

Mountain torrent is one of major natural disasters for humans. With the development of the Internet of things, the instrumented terminals, through which the host PC could obtain the real-time water and rainfall information and could alert to a coming disaster, have been widely applied to mountain torrent warning system. In order to ensure the effectiveness of network alerting, the program in the terminals need to be updated for some specific situations, but large quantities of terminals are usually built in complex terrain and fragmented geographically, so that it is difficult and expensive to update or repair the programs. In this paper, a method of remote update, realized on the BAM-4300 hydrologic remote terminal to update the complex programs via GPRS modules, was highly reliable. Experiments show that this method is of safety and reliability, and cumbersome processes of onsite update and maintenance could be avoided.

Design and Implement of the Car Reversing Automatic Anti-Collision Control System

2014 ◽  
Vol 494-495 ◽  
pp. 206-209
Author(s):  
Xue Feng Yang ◽  
Li Gang Chen ◽  
Xian Feng Zhong
Keyword(s):  
Real Time ◽  
Measurement Errors ◽  
Data Exchange ◽  
High Reliability ◽  
Distance Measurement ◽  
The Real ◽  
Control Units ◽  
Ultrasonic Ranging ◽  
Time Requirements ◽  
Image Collection

There are considerable difference between the actual distance and that measured by infrared or ultrasonic ranging. The car reversing isnt intelligent enough. In order to solve the issues, this paper design an automatic car reversing auxiliary systems based on monocular sight. The system hardware mainly consists of image collection module, embedded micro-controller, and electronic braking module. On the basis of the distance measurement algorithm based on monocular sight, the real-time distance to the front vehicle can be measured and can be auxiliary controlled via the data exchange among vehicle electrical control units. The vehicle dynamic driving experiment verifies the high reliability of the vehicle automatic reversing auxiliary system based on monocular sight. The distance measurement errors are less than 2% when the distance to the front barriers is in the range of 20m~70m. The system can satisfy the real-time requirements for the vehicle intelligent auxiliary braking.

scholarly journals An improved rapid quantitative detection and identification method for a wide range of fungi

2009 ◽  
Vol 58 (8) ◽  
pp. 1037-1044 ◽  
Author(s):  
Nobutoshi Soeta ◽  
Masanori Terashima ◽  
Mitsukazu Gotoh ◽  
Shuichi Mori ◽  
Kyoko Nishiyama ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Diagnostic Technique ◽  
Fungal Species ◽  
Quantitative Detection ◽  
Its2 Region ◽  
The Real ◽  
Detection And Identification ◽  
Wide Range ◽  
Pcr Products

To develop a rapid and quantitative diagnostic technique for the detection and identification of a wide range of fungi, an improved molecular method based on real-time PCR and the analysis of its products that targets the internal transcribed spacer (ITS) 2 region was established. The real-time PCR could quantitatively and specifically detect the ITS2 region from all 24 tested pathogenic fungal species at between 101 and 107 copies per test without amplification of bacterial or human DNA. The sequences of the primer-binding sites are conserved in the registered sequences of 34 other pathogenic fungal species, suggesting that the PCR would also detect these species. The hyperpolymorphic nature of the ITS2 region between fungal species in terms of length and nucleotide sequence provided valuable information for the determination of species. By labelling the 5′ end of the reverse primer with NED fluorescent dye, the fragment lengths of the real-time PCR products and their 3′-terminal fragments, derived using restriction enzyme ScrFI digestion, were easily evaluated by capillary electrophoresis. Using this analysis, the number and species of fungi present in samples could be estimated. Moreover, sequence analysis of the real-time PCR products could accurately determine species in samples containing a single species. This diagnostic technique can estimate a wide range of fungi from various clinical samples within 1 day and accurately identify them in 2 days. Quantitative results for fungal titre in samples can also provide useful information for understanding the progression of disease and the efficacy of antifungal chemotherapy.

A Data Parallel Implementation Scheme of Geometric Operations

2014 ◽  
Vol 519-520 ◽  
pp. 719-723
Author(s):  
Guang Wang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Digital Image Processing ◽  
Digital Image ◽  
Parallel Implementation ◽  
Computation Complexity ◽  
The Real ◽  
Data Parallel ◽  
Implementation Scheme ◽  
Time Requirements

A data parallel implementation of geometric operations is proposed and conclusions are proved. It shows that the computation complexity of data parallel implementation scheme presented in this paper is Ο(M+N). It can be used to improve the efficiency of geometric operations and can easily meet the real time requirements of the digital image processing.

scholarly journals Execution of Median Filter Built on FPGA for Trimming Noise Meeting the Real Time Requirements

2019 ◽  
Vol 8 (4) ◽  
pp. 7855-7858
Keyword(s):  
Real Time ◽  
Impulse Noise ◽  
Noise Suppression ◽  
Median Filter ◽  
Sliding Window ◽  
Spatial Filter ◽  
Effective Technique ◽  
The Real ◽  
Time Requirements ◽  
Suppression Process

As images plays a vital in all aspects, there is a need to met the real time requirements in processing the image. Major challenges raised in processing the image is noise. The utmost typical difficult is effective denoising creation as well as quick functioning in the processing of digital image noise suppression process for the need of real time consequences to afford image with high quality this project was introduced. Generally filters plays a major role to remove the impulse noise in acquired images. The filter named sliding window spatial filter which is familiar as median filter is effective technique to eradicate impulse noise from the devoleped image. But in real time, it is very difficult to execute. To overcome this, FPGA methodology is introduced to fulfills the support besides the optimization of major constraints like area, speed, power. In addition to this, it assures technical sustenance of eradicating noise in image as per requirements in real time. Regarding the design and structure appearances in FPGA, Xilinx software is used for simulation and code has been written in Verilog language.

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