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检索条件"主题词=Detection Algorithms"

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A New Approach for Touching Cells Segmentation

A New Approach for Touching Cells Segmentation

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Shirin Nasr-Isfahani Atefeh Mirsafian Ali Masoudi-Nejad Math Science Department Sharif University of Technology Tehran Iran Departments of Bioinformatics University of Tehran Iran

Automatic cell segmentation has various applications in different parts of science. The development of automated methods for cell segmentation, remains challenging in situations where there are touching cells. In this paper we propose a new method for separating touching cells. As the first step, we use a combination of graph segmentation algorithm and thresholding for segmenting foreground objects and producing a binary image. Next, boundary points of separation zone are selected by using a corner detection algorithm. Finally, the marker controller watershed transform is applied to separate touching cells at selected points.

关键词： Image segmentation Fungi Microscopy Image processing detection algorithms Shape control Biomedical engineering Biomedical informatics Bioinformatics Size control

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Reduced state BCJR algorithms for one- and two-dimensional equalization

Reduced state BCJR algorithms for one- and two-dimensional e...

引用

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

作者： Ying Zhu Benjamin Belzer Krishnamoorthy Sivakumar School of EECS Washington State University Pullman WA USA

We consider BCJR-like soft-input soft-output (SISO) iterative detection algorithms for ID and 2D binary-input ISI channels with AWGN. The complexity of BCJR algorithms grows exponentially with the size of the ISI mask and is an important concern with their implementation. We consider new techniques to reduce the complexity of BCJR algorithms by decreasing the effective number of states in the trellis. The proposed state reduction technique does particularly well for mixed phase sequence ISI masks, which have higher weights for the center taps and lower weights for the peripheral taps. Other complexity reduction techniques proposed in the literature perform poorly for such masks. Moreover, the complexity of the proposed state reduction technique is comparable to other reduced complexity techniques reported in the literature. Experimental results are provided to demonstrate the advantages of the proposed state reduction technique.

关键词： Iterative algorithms Intersymbol interference AWGN detection algorithms Viterbi algorithm Computational complexity Feedback Equalizers Random variables Convolution

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Radar determination of probable icing-in-flight

Radar determination of probable icing-in-flight

引用

Microwaves, Radar and Remote Sensing Symposium, MRRS

作者： A. Pitertsev National Aviation University Kiev Ukraine

This paper summarizes recent works done in NAU in the field of development of icing detection algorithm, based on remote sensing of clouds and precipitation. Conditions of aircraft icing are described. Backscattering of microwaves on water droplets and ice crystals of different shapes is considered as function of polarization, antenna elevation, size distribution of scatterers and other factors. Polarization parameters of scattered signal are calculated for hazardous and non-hazardous cases. Icing detection algorithm is proposed.

关键词： detection algorithms Polarization Radar scattering Radar remote sensing Remote sensing Clouds Aircraft Backscatter Ice Crystals

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A Lazy Monitoring Approach for Heartbeat-Style Failure Detectors

A Lazy Monitoring Approach for Heartbeat-Style Failure Detec...

引用

International Conference on Availability, Reliability and Security, ARES

作者： Benjamin Satzger Andreas Pietzowski Wolfgang Trumler Theo Ungerer Institute of Computer Science University of Augsburg Augsburg Germany

ISBN: (纸本)9780769531021

Failure detectors are a fundamental part of safe fault-tolerant distributed systems. Many failure detectors use heartbeats to draw conclusions about the state of nodes within a distributed environment. The contribution of this paper is an approach whose benefits are twofold. On the one hand it reduces the network overhead produced by heartbeat-style failure detectors. On the other hand it improves the quality of these failure detectors by providing them with richer information about the current network condition. We call this approach lazy monitoring since the active sending of heartbeats is avoided if possible. As it is independent of the actual failure detection algorithm it can be used in many domains. For evaluation purposes we applied our approach to the Smart Doorplate Project. In this testbed the proposed technique reduced the traffic to 1.2% while providing much more information about the environment to the failure detectors.

关键词： Condition monitoring Detectors detection algorithms Delay Fault detection Fault tolerant systems Availability Computer security Computerized monitoring Computer science

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An application of parallel Monte Carlo modeling for real-time disease surveillance 08

An application of parallel Monte Carlo modeling for real-tim...

引用

Simulation Winter Conference

作者： David W. Bauer Mojdeh Mohtashemi MITRE Corporation McLean VA USA MIT CS and AI Laboratory Cambridge MA USA

ISBN: (纸本)9781424427086

The global health, threatened by emerging infectious diseases, pandemic influenza, and biological warfare, is becoming increasingly dependent on the rapid acquisition, processing, integration and interpretation of massive amounts of data. In response to these pressing needs, new information infrastructures are needed to support active, real time surveillance. detection algorithms may have a high computational cost in both the time and space domains. High performance computing platforms may be the best approach for efficiently computing these algorithms. Unfortunately, these platforms are unavailable to many health care agencies. Our work focuses on efficient parallelization of outbreak detection algorithms within the context of cloud computing as a high throughput computing platform. Cloud computing is investigated as an approach to meet real time constraints and reduce or eliminate costs associated with real time disease surveillance systems.

关键词： Monte Carlo methods Diseases Surveillance Cloud computing detection algorithms High performance computing Real time systems Biological system modeling Influenza Pressing

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"Soft" Acoustic Event Detectors for Limited Resources Platforms

"Soft" Acoustic Event Detectors for Limited Resources Platfo...

引用

3rd International Symposium on Communications, Control, and Signal Processing (ISCCSP 2008), vol.3

作者： Marco Antonio Lopez Trinidad Maurizio Valle MUlti-SEnsorS Laboratory Department of Biophysics and Electronics Engineering University of Genoa Genoa Italy

Event detection algorithms cover enormous relevance when their execution environment has reduced capabilities as the CPU computing power, memory budget and overall energy capacity. It is the case for embedded wireless sensor nodes or motes that promise an actual and massive ubiquity on future real world applications. We have implemented a "soft" acoustic event detector of human activities, particularly speech signal. The algorithm has been adapted from the wireless multi-channel IEEE 802.11 QoS VoIP field. The events are detected on the base of the change of rate of the sum of the current input signal energy average plus the signal energy standard deviation values. The detector performance is presented in terms of false and positive detections, for three input signals with different SNR levels.

关键词： Acoustic signal detection Event detection Detectors Wireless sensor networks Signal processing algorithms Laboratories Biophysics Acoustical engineering detection algorithms Change detection algorithms

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Improved Canny Edges Using Ant Colony Optimization

Improved Canny Edges Using Ant Colony Optimization

引用

International Conference on Computer Graphics, Imaging and Visualization, CGIV

作者： Ya-Ping Wong Victor Chien-Ming Soh Kar-Weng Ban Yoon-Teck Bau Faculty of Information Technology Multimedia University Cyberjaya Selangor Malaysia

ISBN: (纸本)9780769533599

Ant colony optimization (ACO) is a metaheuristic approach for solving hard optimization problem. It has been applied to solve various image processing problems such as image segmentation, classification, image analysis and edge detection. In this paper, we present an Improved Canny edges (ICE-ACO) algorithm which uses ACO to solve the problem of linking disjointed edges produced by Canny edge detector.

关键词： Image edge detection Pixel Image segmentation detection algorithms Detectors Classification algorithms Algorithm design and analysis

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detections of Microcalcification Clusters Using Multiple Mammographic Views

Detections of Microcalcification Clusters Using Multiple Mam...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Ma Li Yajing Chan School of Automation Hangzhu Dianzi University Hangzhou China School of AutomationHangzhu Dianzi UniversityHangzhou China

To reduce the false positive hits, a new method for the computer aided detection of microcalcification clusters is proposed in the paper by joint analysis of two views of the same breast. The novelty of the scheme includes a consequent two steps of matching processes: spatial and feature matching. The former links a suspicious cluster located on the MLO view with a corresponding location on the CC view using their spatial information to form a paired cluster, and then in the latter stage, each cluster candidates are characterized by its single-view features such as size, shape and intensity. Finally a similarity function is calculated between the pair to determine if they were true microcalcification clusters. The experiments show that the proposed method has advantages of lower FP rate compared to the one on a single view.

关键词： Feature extraction Cancer detection Automation Fractals Breast cancer Shape Computer vision Neural networks Multi-layer neural network detection algorithms

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An Improved Design for Speech Denoising

An Improved Design for Speech Denoising

引用

International Symposium on Communications and Information Technologies (ISCIT)

作者： Zhou Kong Yujun Liu Kesheng Liu Meilei Jiang Department of Information Engineering Academy of Armored Forces Engineering Beijing China

In high-noise environment, the background noises have greatly bad influence on the speech recognition and its transmission quality. The speech extraction and the noise reduction are long-term questions which the communication system has not solved effectively all the while. In this paper, we propose an improved system solution based on the combination of the bone-conduction sensor, a digital signal processor contained denoising algorithms and an active noise reduction part. At the beginning, the bone-conduction sensor is used to gather the voice. Next, the collected noisy speech signal is enhanced with spectral subtraction algorithm. Then the enhanced signal is detected with the improved short-time energy voice activity detection algorithm based on the Mel frequency. Finally we employ the ANR technology in the receiver. We have designed a prototype system based on the wireless platform. The results of tests show that it achieves better progress in anti-noise performance.

关键词： Noise reduction Speech enhancement Signal processing algorithms Background noise Speech recognition Sensor systems Digital signal processors Active noise reduction Signal detection detection algorithms

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A Fast Search Algorithm of Anomaly in Data Streams Based on Shifted Wavelet Tree

A Fast Search Algorithm of Anomaly in Data Streams Based on ...

引用

International Conference on Computer Science and Software Engineering

作者： Ying-Hui Kong Yun-Jie Lv Jin-Sha Yuan Yan-Ming Liu Department of Electronic and Communication Engineering North China Electric Power University Baoding China

ISBN: (纸本)9781424439027

Anomaly detection is to find aggregate which is different from the most aggregates. Aiming at the limitation of the anomaly detection algorithm of shifted wavelet tree (SWT) in data streams, we propose the improved algorithm which constructs the monotonic search space for binary search after removing the disturbance of bumps to increase the efficiency of detection, and uses the real-time incremental update algorithm for meeting the requirement of the online processing of the data streams. The simulation experiments using two data sets of the Gamma Ray and the Power Quality Disturbance (PQD) verify the high effectiveness and accuracy of our algorithm.

关键词： Aggregates detection algorithms Algorithm design and analysis Tree data structures Data structures Computer science Software engineering Software algorithms Data engineering Power engineering and energy

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