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检索条件"主题词=Detection Algorithms"

共 7380 条记录，以下是4401-4410 订阅

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An Effective Surveillance System Using Thermal Camera

An Effective Surveillance System Using Thermal Camera

引用

International Conference on Signal Acquisition and Processing, ICSAP

作者： Wai Kit Wong Poi Ngee Tan Chu Kiong Loo Way Soong Lim Faculty of Engineering and Technology Multimedia University Malaysia

Thermography, or thermal visualization is a type of infrared visualization. Thermographic cameras are used in many heavy factories like metal recycling factories, wafer production factories and etc for monitoring the temperature conditions of the machines. Besides, thermographic camera can be used to detect trespassers in environment with poor lighting condition, whereby, the conventional digital cameras are less applicable in. In this paper, we proposed two simple and fast detection algorithms into a cost effective thermal imaging surveillance system. This surveillance system not only used in monitoring the functioning of different machinery and electrical equipments in a factory site, it can also used for detecting the trespassers in poor lighting condition. Experimental results show that the proposed surveillance system achieves high accuracy in monitoring machines conditions and detecting trespassers.

关键词： Surveillance Production facilities Condition monitoring Visualization Digital cameras Recycling Temperature measurement Temperature sensors detection algorithms Costs

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A robust spike and wave algorithm for detecting seizures in a genetic absence seizure model

A robust spike and wave algorithm for detecting seizures in ...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Petros Xanthopoulos Chang-Chia Liu Jicong Zhang Eric R. Miller S. P. Nair Basim M. Uthman Kevin Kelly Panos M. Pardalos Industrial and Systems Engineering Department University of Florida Gainesville FL USA Department of Neurosurgery Johns Hopkins University Baltimore MD USA Allegheny General Hospital Allegheny Singer Research Institute Pittsburgh PA USA Weill Cornell Medical College Doha Qatar

Animal models are used extensively in basic epilepsy research. In many studies, there is a need to accurately score and quantify all epileptic spike and wave discharges (SWDs) as captured by electroencephalographic (EEG) recordings. Manual scoring of long term EEG recordings is a time-consuming and tedious task that requires inordinate amount of time of laboratory personnel and an experienced electroencephalographer. In this paper, we adapt a SWD detection algorithm, originally proposed by the authors for absence (petit mal) seizure detection in humans, to detect SWDs appearing in EEG recordings of Fischer 334 rats. The algorithm is robust with respect to the threshold parameters. Results are compared to manual scoring and the effect of different threshold parameters is discussed.

关键词： Robustness Genetics Electroencephalography Brain modeling Epilepsy Animals Disk recording Personnel detection algorithms Humans

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Failure Control in Multipath Route Tracing

Failure Control in Multipath Route Tracing

引用

IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： D. Veitch B. Augustin R. Teixeira T. Friedman ARC Special Centre of Ultra-Broadband Information Networks (CUBIN) an affiliated program of National ICT Australia (NICTA) University of Melbourne Australia LIP6 Laboratory University of Pierre and Marie Curie-Paris VI CNRS Paris France

ISBN: (纸本)9781424435128

Traceroute is widely used to report the path packets take between two Internet hosts, but the widespread deployment of load balancing routers breaks a basic assumption - that there is only a single such path. We specify an adaptive, stochastic probing algorithm, the multipath detection algorithm (MDA), to report all paths that probes can follow between a source and a destination. We establish the foundations of, and show how to calculate, rigorous statistical guarantees for the discovery of the entire multipath route. We explore algorithm cost/guarantee tradeoffs in real experiments and show the inadequacy of the classic practice of sending three probes per hop.

关键词： Probes Load management IP networks Stochastic processes detection algorithms Communications Society Communication system control Laboratories Costs Assembly

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A low complex and efficient coexistence approach for non-coherent multiband impulse radio UWB

A low complex and efficient coexistence approach for non-coh...

引用

IEEE Princeton Section Sarnoff Symposium

作者： Hanns-Ulrich Dehner Micha Linde Rainer Moorfeld Holger Jakel Dennis Burgkhardt Friedrich Jondral Adolf Finger Institut f ür Nachrichtentechnik Universität Karlsruhe Karlsruhe Germany Communications Laboratory Dresden University of Technology Dresden Germany

When bringing a high data rate multiband impulse radio UWB system to the market it has to coexist with other already existing UWB technologies such as multiband OFDM UWB. This paper analyzes the interference impact of a multiband OFDM UWB system on a non-coherent multiband impulse radio UWB system. It is shown that the impact can be so dominant that communication within the impulse based multiband UWB system gets worse. For this reason a static as well as a dynamic coexistence approach are considered. The dynamic approach uses an efficient, robust and easy to realize ldquopixelrdquo based interference detection algorithm in conjunction with an adapted bandplan array. In comparison to the static approach, the dynamic coexistence approach allows higher data rates during data transmission phases without significant losses in bit error rate performance.

关键词： OFDM Interference Ultra wideband technology Robustness detection algorithms Adaptive arrays Data communication Propagation losses Bit error rate Performance loss

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Cyclostationary multitone beacon signal for opportunistic spectrum access

Cyclostationary multitone beacon signal for opportunistic sp...

引用

International Conference on Cognitive Radio Oriented Wireless Networks and Communications

作者： Hanwen Cao Qipeng Cai Joao Paulo Miranda Thomas Kaiser Institute of Communications Technology Leibniz University Hannover Hanover Germany

Cognitive radio is a promising solution to the problem of spectrum scarcity by means of allowing secondary radio networks access the spectrum opportunistically. One of the most important issues in cognitive radio is how to detect existing over-the-air signals reliably. Not a few literatures have reported that signals could be detected via their inherent or embedded properties. However, these may not be reliable and flexible enough for all kinds of signals with different modulation types. In this paper, we propose a multitone beacon signal carrying cyclostationary signatures, which is able to strengthen the reliability and efficiency of signal detection at low cost of spectrum overhead. This beacon not only can indicate the presence or absence of user signal but also can reveal some other information helpful to opportunistic spectrum access through the bit word modulated in its cyclostationary signatures. It could be applied to device/network identification, indication of spectrum allocation and spectrum rendezvous, both for primary and secondary users. The generation and detection algorithm of the beacon signal are presented firstly in this paper, then an initial simulation analysis and experiments with radio devices are illustrated to discuss the performance.

关键词： Signal detection Cognitive radio Radio network Costs Signal generators detection algorithms Analytical models Signal analysis Performance analysis Algorithm design and analysis

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Analyzing and resolving anomalies in firewall security policies based on propositional logic

Analyzing and resolving anomalies in firewall security polic...

引用

IEEE International Conference on Multi Topic

作者： Mohsen Rezvani Ramtin Aryan Department of IT & Computer Engineering Shahrood University of Technology Shahrood Iran

Firewalls are essential components in network security solutions. In order to implement correct security policy, the anomalies in firewall rules should be analyzed carefully, especially in enterprise network. In this paper, we present a new formal framework for analysis and resolution of anomalies in firewall rules. First of all, a formal model based on propositional logic is presented to specify rules. Then we specify all anomalies that identified in the latest researches based on our model. Current studies for analysis of anomalies are based on one to one rule anomalies, but we identify total version of anomalies based on one to many relationship of rules. Furthermore we have designed and implemented a tool based on theorem proving for verification of the specified anomalies. In addition, we present two algorithms for resolving anomalies in a rule database based on our formal model. These algorithms minimize the number of rules without changing the policy. Experimental results indicate that our algorithms for discovery single and total anomalies run in 2-3 seconds for a very large firewall with thousands of rules.

关键词： Logic Databases Data security Computer security detection algorithms Data structures Boolean functions Binary decision diagrams Algorithm design and analysis Virtual private networks

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A Neyman-Pearson approach to estimating the number of endmembers

A Neyman-Pearson approach to estimating the number of endmem...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Joshua Broadwater Amit Banerjee Applied Physics Laboratory Johns Hopkins University Laurel MD USA

In this paper, we present a new method for estimating the number of endmembers for identification of materials in hyperspectral imagery. Unlike previous approaches, the proposed algorithm utilizes the Neyman-Pearson framework to estimate the number of endmembers that maximizes the probability of detection for a desired false alarm rate. The method can be used for any target signature, hyperspectral image, and detection algorithm. Results on multiple real-world hyperspectral images and material types will be provided showing the usefulness of the algorithm.

关键词： Hyperspectral sensors Hyperspectral imaging Detectors detection algorithms Layout Pixel Physics Laboratories Length measurement Image analysis

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A New Algorithm for Removal of High-Density Salt and Pepper Noises

A New Algorithm for Removal of High-Density Salt and Pepper ...

引用

Congress on Image and Signal Processing, CISP

作者： Wei Li Yanxia Sun Shengjian Chen Department of Computer Science North China Electric Power University Beijing China

To improve the performance of high-density salt and pepper noise denoising, a new detail preserving median filter algorithm is proposed in this paper. The method replaces only corrupted pixels by either the trimmed median or the average of previously processed neighborhood pixels, while uncorrupted pixels remain unchanged. Experimental results clearly show that the proposed algorithm outperforms many of the existing methods in terms of visual quality and quantitative measures. The advantage of the proposed method is that it works well for high-density salt & pepper noise even up to a noise density of 90%.

关键词： Pixel Working environment noise Image edge detection Image restoration Noise reduction Computational efficiency Signal to noise ratio Information filtering Information filters detection algorithms

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Detecting spatio-temporal outliers with kernels and statistical testing

Detecting spatio-temporal outliers with kernels and statisti...

引用

International Conference on Geoinformatics

作者： James P. Rogers Daniel Barbara Carlotta Domeniconi U.S. Army Engineer Research and Development Center Alexandria VA USA CS Department George Mason University Fairfax VA USA

ISBN: (纸本)9781424445622

Outlier detection is the discovery of points that are exceptional when compared with a set of observations that are considered normal. Such points are important since they often lead to the discovery of exceptional events. In spatio-temporal data, observations are vectors of feature values, tagged with a geographical location and a timestamp. A spatio-temporal outlier is an observation whose attribute values are significantly different from those of other spatially and temporally referenced objects in a spatio-temporal neighborhood. It represents an object that is significantly different from its neighbors, even though it may not be significantly different from the entire population. The discovery of outliers in spatio-temporal data is then complicated by the fact that one needs to focus the search on appropriate spatio-temporal neighborhoods of points. The work in this paper leverages an algorithm, StrOUD (strangeness-based outlier detection algorithm), that has been developed and used by the authors to detect outliers in various scenarios (including vector spaces and non-vectorial data). StrOUD uses a measure of strangeness to categorize an observation, and compares the strangeness of a point with the distribution of strangeness of a set of baseline observations (which are assumed to be mostly from normal points). Using statistical testing, StrOUD determines if the point is an outlier or not. The technique described in this paper defines strangeness as the sum of distances to nearest neighbors, where the distance between two observations is computed as a weighted combination of the distance between their vectors of features, their geographical distance, and their temporal distance. Using this multi-modal distance measure (thereby called kernel), our technique is able to diagnose outliers with respect to spatio-temporal neighborhoods. We show how our approach is capable of determining outliers in real-life data, including crime data, and a set of observations colle

关键词： Kernel Statistical analysis Testing Spatiotemporal phenomena Research and development Telegraphy detection algorithms Nearest neighbor searches Hurricanes Data mining

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A Novel Method for Boundary Condition Computation in Soft Tissue Deformation

A Novel Method for Boundary Condition Computation in Soft Ti...

引用

Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Shengzheng Wang Jie Yang Kai Xie Merchant Marine College Shanghai Maritime University Shanghai China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China The Methodist Hospital Research Institute Cornell university Houston TX USA

Simulating the soft tissue deformation based on bone-related planning is one of the most difficult issues in generating realistic motion of soft tissues. The difficulty of this problem arises from unclear boundary conditions. In facial soft tissue deformation, the boundary conditions of the finite element modeling are related to the bone movements. In order to better map the bone movements to the soft tissue model, a fast and robust computational strategy for boundary conditions is presented in this paper. First, a collision detection algorithm is employed to query contact position after repositioning of bones. Then, an improved 3D discrete distance field algorithm is proposed to perform imposed displacement computation of contact vertices. Finally, boundary conditions are calculated in terms of the imposed displacements. This approach can automatically handle boundary conditions of the complex geometrical modeling without prior assumption or knowledge about the position of contacts. The effectiveness of our method is demonstrated on complex soft tissue deformation.

关键词： Boundary conditions Biological tissues Deformable models Computational modeling Finite element methods Bones Surgery detection algorithms Solid modeling Skull

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