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检索条件"主题词=Detection Algorithms"

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Memory-constrained ML-optimal tree search detection

Memory-constrained ML-optimal tree search detection

引用

Annual Conference on Information Sciences and Systems (CISS)

作者： Yongmei Dai Zhiyuan Yan Department of Electrical and Computer Engineering Lehigh University PA USA

In this paper, we propose a memory-constrained tree search (MCTS) algorithm for the detection in multiple-input multiple-output (MIMO) systems. The MCTS algorithm offers a wide range of trade-offs between computational complexity and memory requirement, and is guaranteed to achieve the exact maximum-likelihood performance. By tuning the memory size, the MCTS algorithm ranges from being memory-efficient to being computation-efficient with abundant choices in *** show that the MCTS algorithm visits slightly fewer nodes and requires slightly less memory than the sphere decoding (SD) algorithm in the memory-efficient case, and visits similar number of nodes and requires significantly less memory than the stack algorithm in the computation-efficient case.

关键词： Computational complexity MIMO Maximum likelihood detection Maximum likelihood decoding Receiving antennas Hardware Electronic mail Wireless communication Diversity methods detection algorithms

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A model-based voice Activity detection algorithm using probabilistic neural networks

A model-based voice Activity Detection algorithm using proba...

引用

Asia-Pacific Conference on Communications

作者： M. Farsinejad M. Mohammadi B. Nasersharif A. Akbari Department of Computer Engineering Iran University of Science and Technology Tehran Iran

In this paper we introduce an efficient probabilistic neural networks (PNN) model-based voice activity detection (VAD) algorithm. The inputs for PNN are code excited linear prediction coder parameters, which are stable under background noise. The PNN network output is 1 or 0 to determine the nature of the period (speech or NonSpeech). Experimental results show that the proposed VAD algorithm achieves better performance than G.729 Annex B at any noise level. The performance compares very favorably with Adaptive MultiRate VAD, phase 2 (AMR2).

关键词： detection algorithms Neural networks Neurons Background noise Transfer functions Speech coding Mathematical model Computer networks Noise level MATLAB

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A Vision Based Lane detection and Tracking Algorithm in Automatic Drive

A Vision Based Lane Detection and Tracking Algorithm in Auto...

引用

Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA

作者： Wenhong Zhu Fuqiang Liu Zhipeng Li Xinhong Wang Shanshan Zhang Electronic and Information Engineering Department University of Tongji Shanghai China

This paper presents a novel lane detection algorithm for automatic drive system. The algorithm chooses a common curved lane parameter model which can describe both straight and curved lanes. The most prominent contribution of this paper is: instead of using one single method to calculate all the parameters in the lane model, both the adaptive random Hough transformation (ARHT) and the Tabu Search algorithm are used to calculate the different parameters in the lane model, according to the different demands of accuracy for different parameters. Furthermore, in order to reduce the time-consume of the whole system, the strategy of multi-resolution is proposed. At last, this paper also presents a tracking algorithm based on particle filter, which can make the system more stable. The algorithm presented in this paper is proved to be both robust and fast by a large amount of experiments in variable occasions, besides, the algorithm can extract the lanes accurately even in some bad illumination occasions.

关键词： detection algorithms Particle tracking Particle filters Frequency estimation Feature extraction Roads Intelligent transportation systems Conferences Computational intelligence Computer industry

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detection of Human Skin in Near Infrared Hyperspectral Imagery

Detection of Human Skin in Near Infrared Hyperspectral Image...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Abel S. Nunez Michael J. Mendenhall Department of Electrical and Computer Engineering Air Force Institute of Technology OH USA

One of the difficulties in search and rescue missions is finding a small target, such as a person, in a large cluttered area. Airborne hyperspectral cameras are now being deployed to aid in this SAR mission. Motivated by the successes of such systems, we define a hyperspectral model of human skin in the visible and near infrared regions of the spectra so we can exploit knowledge gained during the modeling process to aid in human skin detection. Based on observations of the skin model results, an efficient and robust skin detection algorithm using channels in the near infrared region of the spectra is developed. Our algorithm is denoted the Normalized Difference Skin Index, motivated by the Normalized Difference Vegetation Index used in the literature for detecting vegetation in hyperspectral imagery. We demonstrate the capabilities of our skin detection methodology to detect skin amongst objects known to cause false detections for methodologies using three channel color data.

关键词： Infrared detectors Humans Skin Infrared imaging Hyperspectral imaging Object detection Infrared spectra Vegetation mapping Robustness detection algorithms

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Operator-Centric and Adaptive Intrusion detection

Operator-Centric and Adaptive Intrusion Detection

引用

International Symposium on Information Assurance and Security (IAS)

作者： Ulf E. Larson Stefan Lindskog Dennis K. Nilsson Erland Jonsson Department of Computer Science and Engineering Chalmers University of Technology Goteborg Sweden Centre for Quantifiable Quality of Service Communication Systems Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9780769533247

An intrusion detection system should support the operator of the system. Thus, in addition to producing alerts, it should allow for easy insertion of new detection algorithms. It should also support dynamic selection and de-selection of detection algorithms, and it should adjust its resource consumption to the current need. Such a system would allow the operator to easily extend the system when new detection algorithms become available. It would also allow the operator to maintain a low-cost monitoring baseline and perform more extensive monitoring when it is required. In this paper we propose an architecture for intrusion detection which aims at providing the operator with this support. The architecture uses a modular design to promote a high degree of flexibility. This supports creation of an environment in which state-of-the-art intrusion detection algorithms easily can be inserted. The modular design also allows for detection algorithms to be enabled and disabled when required. Additionally, the architecture uses a sensor reconfiguration mechanism to affect the amount of data collected. When a detection algorithm is enabled or disabled, the sensor providing the input data to the algorithm is correspondingly reconfigured. This implies a minimum of excess collected data. To illustrate the feasibility of the architecture, we provide a proof - of-concept supporting monitoring of users for insider detection and webserver monitoring for intrusion attempts.

关键词： Monitoring Data mining Intrusion detection Detectors detection algorithms Computer architecture Organizations

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Military Targets Endpoint detection Based on Gray Correlation Analysis

Military Targets Endpoint Detection Based on Gray Correlatio...

引用

International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Shengliang Hu Yaobo Li Zhifeng Cheng Gong Chen Electronic Engineering College Naval University of Engineering Wuhan China Department of Weaponry Eng Naval University of Engineering Wuhan China Department of Electronic Information Engineering Institute Communications Engineering People''s Liberation Army University of Science and Technology Nanjing China

To real-time classify military target signal and noise under non-stationary non-Gauss noise effectively, an edge detection method based on gray correlation analysis algorithm is proposed through analyzing ZCR LPC feature from military target signal. Simulation results indicate detection rate reached 100% under the clean acoustic signal and more than 80% corresponding the noise level of -5 dB. This algorithm is effective under non-stationary non-Gauss noise and the detection efficiency and performance are superior to other algorithms.

关键词： Correlation Acoustics Noise Signal to noise ratio Algorithm design and analysis detection algorithms Noise measurement

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detection of H.264 Shot Change Using Intra Predicted Direction

Detection of H.264 Shot Change Using Intra Predicted Directi...

引用

International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Tien-Ying Kuo Yi-Chung Lo Department of Electrical Engineering National Taipei University of Technology Taiwan

In this work, we proposed a shot-change detection algorithm for intra-frames of H.264/AVC compressed video. The traditional video codec, such as MPEG-1, 2, H.261 or H.263, transforms the macroblocks of intra-frames into DCT domain, but H.264/AVC video codec requires the intra prediction process prior to DCT processing, therefore DCT coefficients of H.264/AVC represent differently from those of the traditional codec. The past algorithms of shot change detection using DCT coefficients are not suitable for H.264/AVC any more. In this paper, we compare the statistical distribution of intra prediction modes with an adaptive threshold to detect the shot change. Our algorithm also combines the luma with the chroma feature to detect shot change for color video. The experimental result shows our algorithm can achieve accurate detection rate in rapid speed.

关键词： Automatic voltage control Prediction algorithms Discrete cosine transforms Image coding Change detection algorithms Signal processing algorithms detection algorithms

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detection Algorithm of Life Signals Based on Wavelet Transform

Detection Algorithm of Life Signals Based on Wavelet Transfo...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Baohua Zhang Jianjun Li School of Information Engineering Inner MongoliaUniversity of Science & Technology BaoTou city China014010

Life detection radar is a sort of initiative life detection equipment with extensive uses. A colored Gaussian noise model and a harmonic signal are proposed by analyzing the experimental data in this paper. The capability compare is done between wavelet filter and FIR filter about the suppression of clutter and detection of signals, the experimental signals have characters of low-frequency, semi-periods, and low SNR.. The results show the delay of wavelet filter is shorter than FIR filter and SNR is improved, so new algorithm is much validity and stability.

关键词： detection algorithms Wavelet transforms Finite impulse response filter Radar detection Radar equipment Gaussian noise Power harmonic filters Data analysis Harmonic analysis Signal analysis

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Fault-tolerant event region detection in wireless sensor networks using statistical hypothesis test

Fault-tolerant event region detection in wireless sensor net...

引用

IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Donglei Cao Beihong Jin Jiannong Cao Chinese Academy of Sciences China Institute of Software Chinese Academy and Sciences Department of computing Hong Kong Polytechnic University Hung Hom Hong Kong China

Most existing algorithms for fault-tolerant event region detection only assume that events are spatially correlated, but we argue that events are usually both spatially and temporally correlated. By examining the temporal correlation of sensor measurements, we propose a detection algorithm by applying statistical hypothesis test (SHT). SHT-based algorithm is more accurate in detecting event regions, and is more energy efficient since it avoids measurement exchanges. To improve the capability of fault recognition, we extend SHT-based algorithm by examining both spatial and temporal correlations of sensor measurements. The extended SHT-based algorithm can recognize almost all faults when sensor network is densely deployed.

关键词： Algorithm design and analysis Correlation Testing detection algorithms Fault tolerance Wireless sensor networks Fault tolerant systems

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detection of TCP SYN Scanning Using Packet Counts and Neural Network

Detection of TCP SYN Scanning Using Packet Counts and Neural...

引用

International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Soniya Balram M. Wiscy Sree Chitra Thirunal College of Engineering Thiruvananthapuram Kerala IN Department of Computer Science and Engg. SCT College of Engineering Trivandrum Kerala India

Port scanning is used by malicious users to map the characteristics of a network to launch further attacks. Hence, detection of port scanning assumes paramount importance. This paper investigates the effectiveness of using counts of various TCP control packets in detecting TCP SYN scanning on a single machine. The behavioural characteristics of TCP control packets are aggregated. A neural network is trained to capture this behaviour for normal as well as port scan data. It is seen from the investigation that the counts of TCP SYN, SYN-ACK and FIN packets show definite patterns in their behaviour for legitimate connections. A deviation from this behaviour is used to effectively detect TCP SYN scanning without maintaining state information.

关键词： Neural networks Intrusion detection Telecommunication traffic Computer science Taxonomy IP networks Educational institutions Protocols detection algorithms Testing

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