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检索条件"主题词=Detection Algorithms"

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A novel algorithm for burst and network burst detection Application to wild-type and SynI knockout mice cultures for the study of epileptogenesis

A novel algorithm for burst and network burst detection Appl...

引用

International IEEE/EMBS Conference on Neural Engineering, CNE

作者： Valentina Pasquale Michela Chiappalone Fabio Benfenati Sergio Martinoia Department of Neuroscience and Brain Technologies Italian Institute of Technology Genoa Italy Department of Biophysical and Electronic Engineering University of Genova Genoa Italy

In vitro networks of neurons typically exhibit bursting behavior. To help the experimenter in characterizing different preparations or identifying the changes possibly induced by specific protocols, we developed a new automated method for detecting both bursts and network bursts from electrophysiological activity recorded by means of micro-electrode arrays. The burst detection algorithm is based on the computation of the logarithmic inter-spike interval histogram to automatically detect the best threshold to distinguish between inter- and intra-burst spikes. We preliminary tested our new tools on spontaneous and chemically stimulated activity recordings from primary cultures of rat cortex neurons. Moreover, as a case study, we also applied our algorithms to recordings coming from embryonic primary cortical neurons of wild-type and SynI knockout mice. Our results show i) the flexibility and self-adapting properties of the proposed methods, by applying them to different kind of preparations; ii) their capability of revealing changes in the bursting activity due to different experimental conditions.

关键词： Mice Epilepsy Neurons In vitro Protocols Electrophysiology detection algorithms Histograms Testing Chemicals

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Improved Watershed Lips detection and Modified H8 Tracking System Based on Lyapunov Stability Theory

Improved Watershed Lips Detection and Modified H8 Tracking S...

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International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Siew Wen Chin Kah Phooi Seng Li-Minn Ang King Hann Lim School of Electrical and Electronic Engineering University of Nottingham Semanyih Selangor Darul Ehsan Malaysia

This paper presents an automatic lips detection and tracking system using the improved watershed algorithm and a new modified H infin tracking system based on Lyapunov stability theory (LST). A direct lips detection approach using watershed segmentation without preliminary face localization is proposed. The watershed lips detection system is improved to get rid of the face rotation circumstances. Furthermore, the conventional H infin filter is modified according to the LST to ensure that the lips tracking algorithm is always in the stable condition and the tracking error would be asymptotically converge to zero as the time approaching to infinity. The proposed system is evaluated and the simulation results reveal an appreciable performance.

关键词： Lips Lyapunov method Face detection Filtering Skin Estimation error Filters H infinity control detection algorithms Signal processing algorithms

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Blind User detection and Delay Acquisition in Doubly-Dispersive DS/CDMA Fading Channels

Blind User Detection and Delay Acquisition in Doubly-Dispers...

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IEEE Conference on Wireless Communications and Networking

作者： Stefano Buzzi Luca Venturino Alessio Zappone Antonio De Maio DAEIMI Università degli Studi di Cassino Cassino Frosinone Italy DIET Università degli Studi di Napoli Federico II Napoli Italy

The problems of detecting the presence of a new user and of estimating the delays of its multipath replicas in a direct-sequence/code-division-multiple-access (DS/CDMA) system are investigated. Despite previous works, we consider a doubly-dispersive fading channel model and we propose a new code-aided detection algorithm which relies on the application of a powerful statistical tool known as the method of sieves. The proposed detector is blind and bounded constant false alarm rate. As a byproduct of the detection stage, a new blind procedure to estimate the multipath channel delays of the detected user is also derived.

关键词： Multiaccess communication Fading Delay estimation Detectors Multipath channels Multiple access interference Testing Communications Society Power system modeling detection algorithms

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The Research of Collision detection Algorithm Based on Spatial Subdivision

The Research of Collision Detection Algorithm Based on Spati...

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International Conference on Computer Engineering and Technology, ICCET

作者： Hanjun Jin Zhiliang Liu Tianzhen Wu Yanxia Wang Department of Computer Science Huazhong Normal University Wuhan China School of Remote Sensing and Information Engineering Wuhan University of China Wuhan China

Interactive environments for dynamically deforming objects play an important role in virtual environment. These environments require fast and efficient collision detection handling techniques. In this paper, we propose a new collision detection algorithm based on spatial subdivision, which can solve the collision detection problems between deformable objects. The object space is uniformly subdivided into a series of voxels, and then determines whether collision detection will happen by constructing binary sort tree. Based on distribution density of objects, an optimal method is proposed to compute the size of voxels in uniform division, compared to other collision detection algorithm through a serial of tests, the results show that the algorithm this paper proposes is superior in performance when massive objects are uniformly distributed; Besides, the performance of algorithm is more stable than other algorithms in consideration of variable correlation among objects.

关键词： detection algorithms Object detection Computational modeling Deformable models Computer simulation Animation Solid modeling Virtual environment Computational geometry Surgery

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A new oven detection algorithm and control of IH-Jar achieved by DSP control

A new oven detection algorithm and control of IH-Jar achieve...

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International Conference on Telecommunications Energy (INTELEC)

作者： Yong-Seung Oh Kang-Soon Ahn Hee-Jun Kim Department of Electronics Electrical Control and Instrumentation Engineering Hanyang University South Korea Willings Company Limited South Korea

ISBN: (纸本)9781424424900

This paper suggests a new method for oven detection in those induction heating rice cooker (IH-Jar) circuits that are controlled by DSP. The designed control method calculates oven detection levels based on changes in input currents during oven detection time and averages the input voltages, input currents and outputs during oven detection time thereby enhancing the reliability of oven detection. This new method allows more stable oven detection under the dip or distortion of commercial power supply that may occur in actual field, particularly, in circuits with no separate power factor circuit. The topology of the circuits used in this paper is Quasi-Resonant ZVS-PFM Single-ended.

关键词： Ovens detection algorithms Digital signal processing Switches Pulse width modulation inverters Voltage Resonance Temperature control Circuits Pulse width modulation

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MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems

MIMO NLMS-ZF data detection approach for WCDMA based HSDPA s...

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IEEE Princeton Section Sarnoff Symposium

作者： I-Tai Lu Enoch Lu Department of Electrical and Computer Engineering Polytechnic Institute of New york University Brooklyn NY USA

This paper details the nontrivial extension of the novel Normalized Least Mean Square Zero Forcing (NLMS-ZF) data detection algorithm from single input single output (SISO) to Multiple Inputs Multiple Outputs (MIMO) for the High Speed Data Packet Access (HSDPA) enabled Wideband Code Division Multiple Access (WCDMA) system. The MIMO NLMS-ZF algorithm which utilizes channel state information has had limited success due to difficulty in obtaining both simplicity and a rigorous solution. Even so, with only an approximate solution, it still performs better than the NLMS data detection algorithm for fast-varying channels.

关键词： Multiaccess communication MIMO detection algorithms Channel state information Downlink Correlators Fading Multiple access interference Performance loss Wideband

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A New Approach to Overflow detection in Moduli Set {2n-3, 2n-1, 2n+1, 2n+3}

A New Approach to Overflow Detection in Moduli Set {2n-3, 2n...

引用

International Conference on Computer and Electrical Engineering, ICCEE

作者： Majid Askarzadeh Mehdi Hosseinzadeh Keivan Navi Department of Computer Engineering Saveh branch of IAU Saveh Iran Department of Computer Engineering Science and Research branch of IAU Tehran Iran Department of ECE Shahid Beheshti University Tehran Iran

Residue number system (RNS) is a non weighted number system, which speeds up arithmetic operations by dividing them into smaller parallel operations. This number system supports parallel calculations, limited carry propagation and low power consumption which is used in digital system processors. One of the problems in the above mentioned system is the issue of overflow. The previously proposed algorithms for detecting overflow need transforming numbers from residue number system to decimal system and making a comparison in decimal systems. We propose a new overflow detection algorithm for RSN moduli set {2 n - 3, 2 n - 1, 2 n + 1, 2 n + 3} which can be implemented by fewer components of circuits. In addition, the proposed method is faster than the previous ROM-based algorithms as there is no need to fully convert the number to the decimal system. Besides, having a limited number of components, delay in this circuit is lower than the previously proposed ROM-based reverse converting circuits in all moduli systems.

关键词： Signal processing algorithms Concurrent computing Circuits Dynamic range Digital arithmetic Energy consumption Digital systems detection algorithms Delay Image reconstruction

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Anomaly Program Behavior detection Based on Neural Network

Anomaly Program Behavior Detection Based on Neural Network

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

作者： Dingyi Fang Xiaojiang Chen Zhangyong Tang Feng Chen College of Information Science and Technology Northwest University Xi'an China

Neural network can be used in anomaly detection. In order to improve the traditional IDS (intrusion detection system) performance, we often had to change the network structure and detection algorithm. And because intrusion techniques are most variable and unpredictable, we cannot always use the fixed detection techniques to catch exactly all possible intrusions. It is therefore important to investigate novel detection methods and IDS models. In this paper, a model of intrusion detection system based on BP neural network is proposed through analyzing features of program behavior. Some details and issues on the design and implementation of the model are discussed and experiments are also given.

关键词： Neural networks Intrusion detection Protection Computer networks Educational institutions Information science detection algorithms Algorithm design and analysis Performance analysis System analysis and design

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Ball detection Based on Color Information and Hough Transform

Ball Detection Based on Color Information and Hough Transfor...

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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Hongying Zhang Yadong Wu Fan Yang Department of Information Engineering Southwest University of Science and Technology Mianyang China Department of Computer Science and Technology Southwest University of Science and Technology Mianyang China Laboratory of Electronics Computer Science and Image University of Bourgogne Dijon France

In this article, we present a ball detection algorithm based on color information and Hough transform. Our objective is to detect the color balls under complex environments and different illumination conditions. To do so, we firstly apply the multiscale Retinex algorithm to enhance the image. Then, an adaptive Hough transform is introduced to locate the position of the balls in order to reduce the influence of the complex environments. Thirdly, to detect the interested balls under different illumination conditions, we introduce color invariant model Grayworld normalization (GN) to overcome the influence of the illumination. Finally, to evaluate the proposed ball detection in practice, experiments have been carried out on 100 images taken from various illuminations. On the basis of the reported theory and experimental results, it is shown that high interested ball detection accuracy is achieved by our proposed method.

关键词： Lighting Object detection Image color analysis Computer science Digital images Image segmentation Artificial intelligence Computational intelligence Laboratories detection algorithms

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OFDM symbol detection with interspersed pilot symbols and channel distribution information at the receiver

OFDM symbol detection with interspersed pilot symbols and ch...

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

作者： Cheran M. Vithanage Justin P. Coon Telecommunications Research Laboratory Toshiba Research Europe Limited Bristol UK

detection of OFDM transmissions with interspersed pilot symbols is considered. A hard output detection algorithm developed by Taricco et. al. for flat fading channels is extended for this frequency selective scenario. In the investigated systems with 128 subcarriers, this algorithm outperforms conventional approaches and performs close to a genie aided receiver even with the use of a single pilot symbol for the whole frame. Furthermore, a novel soft output generating algorithm is developed, which is more suitable for channel coded systems. The resultant algorithm is capable of detecting coded OFDM transmissions with fewer pilot symbols than that required for noiseless channel identification.

关键词： OFDM Frequency domain analysis Fading Covariance matrix Maximum likelihood detection Europe detection algorithms Dispersion Signal detection Communication standards

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