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检索条件"主题词=change detection algorithms"

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Analysis of Belief Propagation for Non-Linear Problems: The Example of CDMA (or: How to Prove Tanaka's Formula)

Analysis of Belief Propagation for Non-Linear Problems: The ...

引用

IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： A. Montanari D. Tse Laboratoire de Physique Théorique de l'Ecole Normale Supérieure France Department of Electrical Engineering and Computer Science University of California USA

We consider the CDMA (code-division multiple-access) multi-user detection problem for binary signals and additive white gaussian noise. We propose a spreading sequences scheme based on random sparse signatures, and a detection algorithm based on belief propagation (BP) with linear time complexity. In the new scheme, each user conveys its power onto a finite number of chips l̄, in the large system limit. We analyze the performances of BP detection and prove that they coincide with the ones of optimal (symbol MAP) detection in the l̄ → ∞ limit. In the same limit, we prove that the information capacity of the system converges to Tanaka's formula for random 'dense' signatures, thus providing the first rigorous justification of this formula. Apart from being computationally convenient, the new scheme allows for optimization in close analogy with irregular low density parity check code ensembles.

关键词： Belief propagation Multiaccess communication Multiuser detection Parity check codes Iterative decoding Computer science Additive white noise Mutual information change detection algorithms Performance analysis

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Impact of Bit-Width Specification on the Memory Hierarchy for a Real-Time Video Processing System 06

Impact of Bit-Width Specification on the Memory Hierarchy fo...

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Design, Automation and Test in Europe Conference and Exhibition

作者： B. Thornberg M. O'Nils Mid-Sweden University Sundsvall SWEDEN

ISBN: (纸本)9783981080100

Bit-width specification will affect the total memory storage requirement of a video processing system. However, what is not so obvious is that the bit-width specification will also affect the design of the memory hierarchy. Experiments with a real-life surveillance system show how the optimal allocation of shift registers for the storage of intermediate results is sensitive to bit-widths. It is shown that the total on-chip memory storage requirement can be reduced by 61 percent compared to a non-optimal design

关键词： Real time systems Surveillance Digital signal processing Pixel Delay Cameras change detection algorithms Signal processing algorithms Clocks Pipelines

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A Highly Linear Direct-Conversion Transmit Mixer Transconductance Stage with Local Oscillation Feedthrough and I/Q Imbalance Cancellation Scheme

A Highly Linear Direct-Conversion Transmit Mixer Transconduc...

引用

IEEE International Conference on Solid-State Circuits (ISSCC)

作者： C.P. Lee A. Behzad Dayo Ojo M. Kappes S. Au Meng-An Pan K. Carter S. Tian Broadcom San Diego CA IQ-Analog San Diego CA Broadcom Irvine CA

A linear transconductance stage with process insensitive gain control and gain insensitive output offset current is proposed. A calibration scheme to remove the LO feedthrough (LOFT) and I/Q imbalance is also introduced. The prototype achieves 3 rd -order IMD suppression better than 52dBc, LOF suppression better than 32dBc, and image rejection better than 46dBc for all gain settings. The transmit chain achieves an 802.11a EVM of < -40dB

关键词： Transconductance Baseband Envelope detectors Wireless LAN Radio transmitters Circuits Gain control change detection algorithms Gold Local oscillators

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Automated Anomaly detection Using Time-Variant Normal Profiling

Automated Anomaly Detection Using Time-Variant Normal Profil...

引用

Proceedings of the Biannual World Automation Congress

作者： Jung Yeop Kim Rex E. Gantenbein Utica College Utica NY USA University of Wurzburg Laramie WY USA

Anomaly detection provides automated detection of unauthorized intrusion into a computer system by creating a normal profile of the system's behavior, then raising an alert when the system's behavior does not fit the system's normal profile. Approaches to anomaly detection that focus on investigating user's behavior typically assume that a user's command sequences will not vary significantly over time and so tend to flag "unusual" but safe activities as anomalies. We propose the use of "time-variant normal" user profiles that assume a user will change activities over time. The approach combines string-matching algorithms from machine intelligence and sequence alignment algorithms from biomedical informatics to dynamically evaluate user behavior.

关键词： Intrusion detection Protection Computerized monitoring change detection algorithms Biomedical computing Condition monitoring Automation Educational institutions Machine intelligence Biomedical informatics

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D1HT: a distributed one hop hash table 06

D1HT: a distributed one hop hash table

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： L.R. Monnerat C.L. Amorim Comput. & Syst. Eng. Fed. Univ. of Rio de Janeiro Brazil COPPE-Computer and Systems Engineering Federal University of Rio de Janeiro Brazil

ISBN: (纸本)9781424400546

Distributed hash tables (DHTs) have been used in a variety of applications, but most DHTs so far have opted to solve lookups with multiple hops, which sacrifices performance in order to keep little routing information and minimize maintenance traffic. In this paper, we introduce D1HT, a novel single hop DHT that is able to maximize performance with reasonable maintenance traffic overhead even for huge and dynamic peer-to-peer (P2P) systems. We formally define the algorithm we propose to detect and notify any membership change in the system, prove its correctness and performance properties, and present a quarantine-like mechanism to reduce the overhead caused by volatile peers. Our analyses show that D1HT has reasonable maintenance bandwidth requirements even for very large systems, while presenting at least twice less bandwidth overhead than previous single hop DHT

关键词： Routing Bandwidth Peer to peer computing Telecommunication traffic Application software Delay Distributed computing Systems engineering and theory change detection algorithms Mechanical factors

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Robust abnormity detecting and tracking using correlation coefficient

Robust abnormity detecting and tracking using correlation co...

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International Conference on Multimedia Modeling (MMM)

作者： Jin Zheng Bo Li Chunlian Yao Digital Media Laboratory School of Computer Science and Engineerinlg Beihang University Beijing China

Abnormity detection based on computer vision is the foundation of high-level automatic surveillance that includes objects recognition, tracking and alarm etc. In this paper, a robust abnormity detection algorithm using improved correlation coefficient is proposed. It assembles every pixel and its neighboring pixels to form a vector, and computes correlation coefficient to measure the similarity of corresponding window in the background image and current image. When the correlation coefficient is bigger than the adaptive threshold, the algorithm processes pixel level detection. Moreover, using k-means and correlation coefficient respectively, it realizes the clustering and tracking of the abnormity objects. The experimental results show the algorithm is robust against noise disturbance, illumination change, shadows and reflection effect. It can detect abnormity precisely, and improve the surveillance system's adaptability for the complicated environment greatly

关键词： Robustness Surveillance Pixel change detection algorithms Clustering algorithms Object detection Computer vision Object recognition detection algorithms Assembly

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detection of Low Intensity DoS Attacks using Fuzzy Based Intrusion detection System

Detection of Low Intensity DoS Attacks using Fuzzy Based Int...

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International Conference on Electrical and Computer Engineering (ICECE)

作者： Habibullah Baig Farrukh Kamran Center for Advanced Studies in Engineering Pakistan

Detecting low intensity denial of service (DoS) attacks in minimum time with less false positives is challenging for network based intrusion detection systems. In this paper we propose a new fuzzy logic based approach, which adapts fuzzy linguistic membership functions instead of modifying the fuzzy rules. The authors use the normal TCP profile, i.e. the `connected-sessions', to guide the fuzzy membership set boundaries. The authors also propose implementation architecture with a hierarchy of fuzzy agents responsible for detecting different types of attacks. This scheme reduces the number of false alarms at lower level of hierarchy. Tests have been conducted and are reported using DARPA98 datasets

关键词： Computer crime Fuzzy systems Intrusion detection Fuzzy logic Telecommunication traffic Traffic control change detection algorithms Data mining Random variables Probability

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Real-Time Approaches of Urban Vehicle Traffic Control

Real-Time Approaches of Urban Vehicle Traffic Control

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IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR

作者： T. S. Letia Department of Automation Technical University of Cluj Napoca Cluj-Napoca Romania

The classical approaches of intersection control are based on cycle periods. Instead of this, the current paper focuses on the lane periods and uses real-time scheduling algorithms to determine the moments of times when the traffic light phases have to be started. The vehicle streams are considered equivalent with programming tasks and the intersections work similarly with the computer processors. The real-time parameters of tasks are equivalent with stream parameters. The real-time scheduling tests are used to verify that the vehicle streams fulfil the specified requirements

关键词： Traffic control change detection algorithms Communication system traffic control Throughput Control systems Vehicle safety Automation Automatic control Scheduling algorithm Real time systems

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A detection Algorithm for Maneuvering IR Point Target and Its Performance Evaluation

A Detection Algorithm for Maneuvering IR Point Target and It...

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IEEE/ASME International Conference on Mechtronic and Embedded Systems and Applications, MESA

作者： Feng-yun Zhu Shi-yin Qin School of Automation Science and Electrical Engineering BeiHang University Beijing China

An algorithm for detecting a maneuvering IR point target in complex background is proposed in this paper. It is based on frame change detection and the reverse phase feature of neighborhood (RPFN) of a maneuvering point target in a first order frame difference image that two positions of the target are near and the gray-values of them are close to in absolute value but with inverse sign. Firstly a proper threshold is selected adaptively for a frame difference image so as to reduce a majority of noises. Secondly some pairs of points with RPFN are searched, based on which corresponding vectors can be found. Thus the IR point target detection is carried out by the distribution tendency in the vectorgraph of point pairs with RPFN. Simulation experimental results demonstrate the feasibility and effectiveness of the algorithm proposed in this paper. Finally, ROC (receiver operating characteristic) curve analysis is used to evaluate the sensitivity of the threshold in the algorithm and the rationality of the selected threshold

关键词： detection algorithms Infrared detectors Object detection Weapons Signal to noise ratio Image coding Image sequences Phase detection change detection algorithms Trajectory

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Vision-based Density detection of Traffic Flow in Urban Intersection in the Daytime

Vision-based Density Detection of Traffic Flow in Urban Inte...

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International Conference on ITS Telecommunications (ITST)

作者： Shengli Shi Jianmin Xu Zhong Qin School of Traffic and Communications South China University of Technology Guangzhou China

In urban intersection of intelligent control system, detection of rows of vehicles is essential to the control algorithm, and density estimation method and vision-based detection algorithm are presented in this paper for sake of the limitation of using loop detectors method. Firstly, background segmentation and rebuilding is introduced and algorithm for vehicles segmentation in HSV color space is discussed. Then length and density of traffic flow are calculated. Finally, experimental results and analysis are included

关键词： Vehicle detection Control systems change detection algorithms Communication system traffic control Detectors Road vehicles Intelligent control Traffic control Cameras Image edge detection

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