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检索条件"主题词=Detection Algorithms"

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The Pulse Waveform Characteristic Points detection Based on Wavelet Transform

The Pulse Waveform Characteristic Points Detection Based on ...

引用

International Conference on Information Science and Engineering (ICISE)

作者： Qun Wang Zhiwen Liu Department of Electronic Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9781424449095

The pulse waveform characteristic points detection is very important for detecting cardiovascular parameters. A real-time algorithm based on wavelet transform (WT) is developed for detecting the characteristic points exactly. The algorithm combines the zero-crossing of a wavelet with one vanishing moment and the local extrema of a wavelet with two vanishing moment to improve the detection rate of characteristic points. The detection results show that automatic identification of characteristics points has high accuracy, which is convenient for evaluating the global behavior of arterial parameters.

关键词： Wavelet transforms Wavelet analysis Cardiology Filter bank Cutoff frequency Logic detection algorithms Information science Spline Cardiovascular diseases

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detection of Pseudo Random Noise Generator's parameters for link analysis

Detection of Pseudo Random Noise Generator's parameters for ...

引用

International Conference on Emerging Technologies, ICET

作者： Hafiz Atta Ul Mustafa NUCES National University Islamabad Pakistan

This paper presents the method how the parameters of pseudo random noise generator (PRNG) can be detected. The parameters to be detected include the primitive polynomial and the initial seed of the PRNG. Different test vectors of scrambled sequences are generated by changing the parameters of linear feedback shift register (LFSR). The test vectors are then passed one by one through the detection algorithm which calculates the weight difference for a range of primitive trinomials. Subsequently, the weight difference is calculated between the alphabets over GF(2) of decoded periods of LFSR The maximum weight difference thus obtained for specific polynomial depicts the most probable primitive trinomial. The initial seed of LFSR is then found by fixing the trinomial and calculating the weight difference for a range of seeds. The correct initial seed is depicted by the maximum weight difference.

关键词： Noise generators Polynomials Testing Vectors Linear feedback shift registers detection algorithms Data mining Timing Paper technology Decoding

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Fast traffic anomalies detection using SNMP MIB correlation analysis

Fast traffic anomalies detection using SNMP MIB correlation ...

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International Conference on Advanced Communication Technology (ICACT)

作者： Dong Cheul Lee Byungjoo Park Ki Eung Kim Jae Jin Lee Network Technologies Laboratory South Korea

Internet service providers (ISPs) should detect and control abnormal traffic fast for stable network management. One of the ways to detect traffic anomalies fast is shortening traffic collecting cycle. However, performance degradation is inevitable if a centralized traffic collection server gathers all traffic data from equipments in a large ISP. This paper presents an enhanced traffic collection algorithm that can gather traffic data frequently without degrading the performance by analyzing SNMP MIB objects correlation. The algorithm estimates the values of interface group objects by using ip group objects, thus, it reduces the number of collections. We evaluated this algorithm on KORNET backbone network. The performance degradation was not found on the experiment, and the accuracy of the algorithm was fairly good.

关键词： Telecommunication traffic Communication system traffic control Traffic control Degradation detection algorithms Network servers Filters Web and internet services Monitoring Frequency

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Hardware/software co-design for line detection algorithm on FPGA

Hardware/software co-design for line detection algorithm on ...

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International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： W. Kayankit W. Suntiamorntut Department of Computer Engineering Faculty of Engineering Prince of Songkla University Hatyai Songkhla Thailand

This paper presents the design methodology of hardware/software co-design on FPGA. In this research work uses line detection algorithm to be our case study. C-based programming named ImpulseC has been employed. By using this, we could reduce the time of the design. Two main components are involved. Edge detection module is the first component. Various algorithms, Robert, Sobel and Prewitt, are compared. The best algorithm in term of performance and area is selected. The second component is hough transform. This module is divided into hardware and software due to the limit of the available logic block. At the end, the system both in hardware/software for line detection on FPGA is simulated.

关键词： Hardware detection algorithms Field programmable gate arrays Image edge detection Kernel Convolution Filters Design engineering Computational modeling Operating systems

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An efficient road detection method in noisy urban environment

An efficient road detection method in noisy urban environmen...

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IEEE Symposium on Intelligent Vehicle

作者： Geng Zhang Nanning Zheng Chao Cui Yuzhen Yan Zejian Yuan Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an Shaanxi China

ISBN: (纸本)9781424435036

Road detection is a crucial part of autonomous driving system. Most of the methods proposed nowadays only achieve reliable results in relatively clean environments. In this paper, we combine edge detection with road area extraction to solve this problem. Our method works well even on noisy campus road whose boundaries are blurred with sidewalks and surface is often covered with unbalanced sunlight. First, segmentation is done and the segments which belong to road are chosen and merged. Second, we use Hough transform and a voting method to get the vanishing point. Then, the boundaries are searched according to the road shape. We also employ prediction to make our method achieve better performance in video sequence. Our method is fast enough to meet real-time requirement. Experiments were carried out on the intelligent vehicle SpringRobot on campus roads, which is a good representation of urban environment.

关键词： Working environment noise Intelligent robots Artificial intelligence Road vehicles Intelligent vehicles Robot vision systems Cameras Chaos Remotely operated vehicles detection algorithms

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A real-time ellipse detection based on edge grouping

A real-time ellipse detection based on edge grouping

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IEEE International Conference on Systems, Man and Cybernetics

作者： Thanh Minh Nguyen Siddhant Ahuja Q.M. Jonathan Wu Department of Electrical and Computer Engineering University of Windsor Windsor ONT Canada

In this paper, we present a efficient algorithm for real-time ellipse detection. Unlike Hough transform algorithm that is computationally intense and requires a higher dimensional parameter space, our proposed method reduces the computational complexity significantly, and accurately detects ellipses in realtime. We present a new method of detecting arc-segments from the image, based on the properties of ellipse. We then group the arc-segments into elliptical arcs in order to estimate the parameters of the ellipse, which are calculated using the least-square method. Our method has been tested and implemented on synthetic and real-world images containing both complete and incomplete ellipses. The performance is compared to existing ellipse detection algorithms, demonstrating the robustness, accuracy and effectiveness of our algorithm.

关键词： Image edge detection Parameter estimation detection algorithms Vehicle detection Least squares methods Real time systems Cancer detection Joining processes Noise robustness Cybernetics

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Implementation of TMS320F2812 in islanding detection for Photovoltaic Grid Connected Inverter

Implementation of TMS320F2812 in islanding detection for Pho...

引用

International Conference for Technical Postgraduates (TECHPOS)

作者： Syarkawi Syamsuddin N.A. Rahim Krismadinata Jeyraj Selvaraj UMPEDAC Research Centre Level 4 Engineering Tower Faculty of Engineering University of Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781424452231

This paper presents implementation of digital signal processor (DSP) TMS320F2812 in islanding detection for photovoltaic single-phase grid connected inverter. Applied islanding detection algorithm is detection of under/over frequency and under/over voltage. This algorithm is used to turn-on and turn-off the relay. Experimental results are provided to demonstrate the effectiveness of this algorithm.

关键词： Photovoltaic systems Solar power generation Inverters Signal processing algorithms Digital signal processors Digital signal processing detection algorithms Frequency Voltage control Digital relays

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Image Corner detection Technique Research on Machine Vision

Image Corner Detection Technique Research on Machine Vision

引用

International Workshop on Intelligent Systems and Applications, ISA

作者： Wei Wang Yiping Tang Jun Hong Haixiong Fan State Key Lab. for Manuf. Syst. Eng. Xi'an Jiaotong Univ. Xi'an Air Force Engineering University

Corner detection is an important step in the image processing of machine vision. An improved algorithm is proposed in this paper following the analysis on the existing corner detection algorithms and on the localization precision and computation efficiency in the Harris corner detection algorithm. In this algorithm, a large number of irrelevant points are rejected by statistical analyzing the pixel gray level difference around the target pixel, and then the response function of residual points is calculated and compared with the set threshold value to certify the real corner. Finally computation program is programmed, using this program, the synthesize images of five types of corners are analyzed and calculated, which shows that the improved algorithm acquires better efficiency and accuracy in corner detection.

关键词： Machine vision Image edge detection Algorithm design and analysis detection algorithms Object detection Image analysis Filters Manufacturing systems Systems engineering and theory Image processing

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A novel framework of shot boundary detection for uncompressed videos

A novel framework of shot boundary detection for uncompresse...

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International Conference on Emerging Technologies, ICET

作者： Abdul Hameed Department of Computer Science COMSATS Institute of Information Technology Islamabad Pakistan

The automatic video shot detection is receiving a great impact with the advances in the digital video technology and ever increasing accessibility of computing results. In this paper we describe a framework for extracting shot detection by using the threshold values of diverse statistical features for raw video frames. Two different types of sports videos viz. soccer and basketball are used for assessment. The approach exploits correlation, maximum histogram difference and running average difference as the classifiers. The results are evaluated by selection of appropriate threshold of these features after training of framework. The winner take-all selection scheme is applied if correlation coefficient and histogram difference features are unable to identify the shot detection. Experimental results on divergent set of test videos reveal the effectiveness of this shot detection approach.

关键词： Gunshot detection systems Videos Histograms Machine learning algorithms detection algorithms Feature extraction Computer science Information technology Data mining Testing

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Wildfire detection using LMS based active learning

Wildfire detection using LMS based active learning

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： B. Ugur Toreyin A. Enis Cetin Department of Electrical and Electronics Engineering Bilkent University Ankara Turkey

A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gray regions, (iii) rising regions, and (iv) shadows. Each algorithm yields its own decision as a real number in the range [-1,1] at every image frame of a video sequence. Decisions from subalgorithms are fused using an adaptive algorithm. In contrast to standard Weighted Majority Algorithm (WMA), weights are updated using the Least Mean Square (LMS) method in the training (learning) stage. The error function is defined as the difference between the overall decision of the main algorithm and the decision of an oracle, who is the security guard of the forest look-out tower.

关键词： Least squares approximation Fires Poles and towers Cameras Object detection Computer vision detection algorithms Smoke detectors Security Surveillance

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