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检索条件"主题词=detection algorithms"

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Distributed Sphere Decoding

Distributed Sphere Decoding

引用

International Conference on Telecommunications (ICT)

作者： Charlotte Dumard Erwin Riegler Forschungszentrum Telekommunikation Wien Vienna Austria

Based on a simple gossip algorithm, which computes the sum of values known by several nodes, we investigate the research challenge of distributed sphere decoding. We provide distributed algorithms to perform both the QR decomposition as well as the tree search. Compared to the case where one declares one node as a centralized unit, this approach is much more robust against node and link failures. This is due to the fact that the target nodes for the gossip algorithm are chosen uniformly at random in each iteration. Numerical simulations show that even for a very small number of iterations the results coincide with the traditional centralized sphere decoder.

关键词： Distributed algorithms Robustness Iterative decoding Distributed computing Convergence Numerical simulation Batteries Transmitters detection algorithms Message passing

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The development of an assistive robot for improving the joint attention of autistic children

The development of an assistive robot for improving the join...

引用

IEEE International Conference on Rehabilitation Robotics (ICORR)

作者： P. Ravindra S. De Silva Katsunori Tadano Azusa Saito Stephen G. Lambacher Mastake Higashi Computer Aided Design Laboratory Toyota Technological Institute Japan Department of Software Engineering University of Aizu Japan Aoyama Gakuin University Japan

In this paper, an assistive robot is proposed for children with autism to enhance their joint attention, the main focus of which is an interactive scenario with potential modalities to establish a learning environment for children with autism. In order to implement the above interactive scenario, the robot has to detect a child's intention at every time segment. For this purpose, a novel attention detection algorithm is proposed which is based on a mixture Gaussian based unsupervised-clustering. A unique aspect of the proposed approach is does not require the use of any training data or models to detect a child' intention. Indeed, our algorithm is capable of detecting a child's intention when that child has a complex eye gaze pattern. These features are essential in the development of a robotic system for children with autism. The system was tested with autistic children who were attending a school for the disabled. The results were quite impressive, revealing that the children were indeed attracted to the robot and had engaged in interactions with it for a lengthy period of time. Overall, the results showed that the children's joint attention skills improved when the number of interactive trials with them was processed. In addition, taking into account its joint attention performance with the children, the robot was able to change the interactive scenarios autonomously. The proposed unsupervised model was capable of detecting a child's intention at every time segment with a recognition rate of over 75%.

关键词： Robots Autism Rehabilitation robotics Feedback Eyes detection algorithms Training data System testing Variable speed drives Computer science education

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Structuring and analyzing low-quality lecture videos

Structuring and analyzing low-quality lecture videos

引用

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

作者： Yu-Tzu Lin Bai-Jang Yen Greg C. Lee Information Technology Center National Taiwan Normal University Taiwan Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan

This paper presents a lecture video structuring and analysis scheme to provide students an efficient way to access the lecture content. Instead of using color-based or histogram-based methodologies, we propose a new edge-based shot boundary detection algorithm to accurately rebuild the slide structure. The proposed approach can successfully resist the unwanted influences induced from the variant illumination condition and occlusions. Besides, original slide content can be extracted excluding any obstruction by using human removing techniques. Furthermore, the teaching focus is analyzed so that this system becomes more useful for learning.

关键词： Videos Gunshot detection systems Humans Object detection Information analysis Education Layout detection algorithms Lighting Focusing

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An automatic sleep spindle detector based on wavelets and the teager energy operator

An automatic sleep spindle detector based on wavelets and th...

引用

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

作者： Beena Ahmed Amira Redissi Reza Tafreshi Engineering Faculty Texas A and M University Qatar Doha Qatar Mechanical Engineering Department Texas A and M University Qatar Doha Qatar

Sleep spindles are one of the most important short-lasting rhythmic events occurring in the EEG during Non-Rapid Eye Movement sleep. Their accurate identification in a polysomnographic signal is essential for sleep professionals to help them mark Stage 2 sleep. Visual spindle scoring however is a tedious workload, as there are often a thousand spindles in an all-night recording. In this paper a novel approach for the automatic detection of sleep spindles based upon the Teager Energy Operator and wavelet packets has been presented. The Teager operator was found to accurately enhance periodic activity in epochs of the EEG containing spindles. The wavelet packet transform proved effective in accurately locating spindles in the time-frequency domain. The autocorrelation function of the resultant Teager signal and the wavelet packet energy ratio were used to identify epochs with spindles. These two features were integrated into a spindle detection algorithm which achieved an accuracy of 93.7%.

关键词： Sleep Detectors Wavelet packets Electroencephalography Signal processing Wavelet domain Wavelet transforms Time frequency analysis Autocorrelation detection algorithms

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Eye Tracking Based on Grey Prediction

Eye Tracking Based on Grey Prediction

引用

International Workshop on Education Technology and Computer Science, ETCS

作者： Jianxiong Tang Jianxin Zhang Zhejiang Institute of Communication and Media Hangzhou China Zhejiang Science and Technology University Hangzhou China

Eye tracking is the focus problem in the researching domain of human-machine interaction and computer vision in recent years. The method of using a single eye location and detection algorithm has poor real-time performance. So a new eye tracking method is proposed in this paper. This method combines the location and detection algorithm with the grey prediction for eye tracking. The GM(1,1) model is used to predict the position of moving eye in the next frame, and then this position is taken as the reference point for the searching region of eye. The efficiency of eye tracking is improved in this way. Experimental results for image sequence of eye maneuvering show that the grey prediction model GM(1,1) can track eye region robustly and correctly because it doesnpsilat assume the moving law in advance, and weaken the effect of random disturbances by results of accumulated generating operation to explore the law of eye motion.

关键词： Face detection Predictive models Man machine systems Data processing Data models Focusing Computer vision detection algorithms Kalman filters Filtering

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Application of Improved KMP Algorithm in Tire Disfigurement Recognition

Application of Improved KMP Algorithm in Tire Disfigurement ...

引用

International Workshop on Computer Science and Engineering (WCSE)

作者： Fengying Cui Baoming Shan College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao China

Image matching is usually used in tire disfigurement recognition. Traditional template matching methods such as the NC and the SSDA have high matching precision, but the calculating is hard and time consuming. The fast template matching algorithm based on the projection and the KMP algorithm has been proposed. Firstly, the feature string is gotten by projecting the image followed by matching it to get the approximate matching results. Secondly, the NC method is used to validate the approximate matching results. The algorithm has been used in the tire disfigurement recognition based on image matching and proven to be efficient.

关键词： Tires Image matching Image recognition Image converters Computer science Application software Educational institutions Automation detection algorithms Pixel

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A Noise Tolerant Method for ECG Signals Feature Extraction and Noise Reduction

A Noise Tolerant Method for ECG Signals Feature Extraction a...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Emna Zoghlami Ayari Reinhard Tielert Norbert Wehn Microelectronic Systems Design Research Group University of Kaiserslautern Kaiserslautern Germany

A noise tolerant template model technique for ECG feature extraction based on an individual-specific training approach is presented in this paper. Baseline wander, electrode motion artifacts, and electromyographic interference were added with varying signal-to-noise ratios (SNRs) to a dataset of approximately 3000 beats of different ECG recordings from the QT database to validate the performance of our technique. All of the QRS-complex, P- and T-waves detectors achieved an average sensitivity of 96.11%, positive predictivity of 83.8% and accuracy detection rate of 81.9% for SNRs between 24 dB and -6 dB, outperforming four recent beat detection algorithms evaluated with respect to the same types of noise. Furthermore, the ability of our technique to achieve efficient noise reduction including in-band noise, while preserving the morphological and clinical information of the original signal, is described.

关键词： Noise reduction Electrocardiography Feature extraction Electrodes Interference Signal to noise ratio Spatial databases Detectors detection algorithms Clinical diagnosis

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Speaker identification system using PCA & eigenface

Speaker identification system using PCA & eigenface

引用

International Conference on Computer and Information Technology (ICCIT)

作者： Md. Rashedul Islam Md. Shafiul Azam Saleh Ahmed Dept. of Computer Science & Engineering University of'Raishahi Bangladesh Dept. of Computer Science & Engineering University of'Raishahi Sylhet Bangladesh

This paper presents a speech-based speaker identification system and an efficient approach for selection of acoustic parameters closely related to the vocal track shape of the speaker. Speech endpoint detection algorithm is developed in order to discard the room noise and non-speech signal to achieve high accuracy of the system. Windowing and fast Fourier transform (FFT) are used to determine the spectrum of the speech signal and PCA has been used to extract feature of speech of individual speaker. Eigenface algorithm has been used here as a classification and recognition tool. Eigenspace of individual speaker is generated by the feature of the speech signal. The experimental results show the noticeable performance of the proposed system.

关键词： Principal component analysis Loudspeakers Shape Speech enhancement detection algorithms Acoustic noise Noise shaping Fast Fourier transforms Feature extraction Signal generators

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Future airborne collision avoidance — Design principles, analysis plan and algorithm development

Future airborne collision avoidance — Design principles, an...

引用

Conference on Digital Avionics Systems (DASC)

作者： Roxaneh Chamlou Center for Advanced Aviation System Development MITRE Corporation McLean VA USA

As the aviation community moves toward the Next Generation Air Transportation System (NextGen), the current Traffic Alert and Collision Avoidance System (TCAS II) may become inadequate. This paper presents a novel approach to detection and resolution of air traffic conflicts in a 3-dimensional (3-D) airspace between two aircraft. The inputs to the detection algorithm are the current 3-D position and speed vector of both aircraft and a cylindrical minimum safety protection zone (PZ). For collision avoidance systems (CASs), the size of the configurable PZ can be assigned values that the Federal Aviation Administration (FAA) considers as a near mid air collision (NMAC 1 ) incident. When available, additional inputs, such as measurement uncertainties and intruder type (e.g., manned/unmanned), can be used to alter the default protection zone. The conflict detection takes into account the 3-D encounter (e.g., closure rate, miss distance, relative converging maneuver). The resolution algorithm initially computes a set of six resolution advisories (RAs) and associated resolution alert times that ensure no violation of the protection zone. Two solutions are computed for each of the three dimensions: ground track, ground speed, and vertical speed. The initial resolution advisories (RAs) solutions take into account ownship capability (i.e., max climb/descent rate, max turn rate, max speed/stall speed) and ownship pilot response delay (e.g., autonomous vs. manual RA execution). These six solutions are subsequently down-selected in two steps: first, based on the encounter geometry, a single implicitly coordinated, independent solution is selected for each of the three dimensions; then, based on ownship preferences and operational considerations a final RA solution is computed.

关键词： Algorithm design and analysis Collision avoidance Protection Aircraft Air traffic control FAA Air transportation detection algorithms Air safety Measurement uncertainty

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Detecting Stepping-Stone Connection Using Association Rule Mining

Detecting Stepping-Stone Connection Using Association Rule M...

引用

International Conference on Availability, Reliability and Security, ARES

作者： Ying-wei Kuo Shou-Hsuan Stephen Huang Department of Computer Science University of Houston Houston TX USA

A main concern for network intrusion detection systems is the ability of an intruder to evade the detection by routing through a chain of intermediate stepping-stone hosts. The intruders have developed some evasion techniques such as injecting chaff packets or timing jitter. Such evasion techniques cause most of the previous timing-based detection algorithms to fail. In this paper, we address these issues and devise a methodology to defeat these counter measures. Our algorithm uses modified association rule mining to detect stepping-stones. It is based on finding as many matched pairs of packets as possible within the fixed length intervals and then decide whether it is a stepping-stone connection by the matched rate. This algorithm allows checking multiple connections at once and therefore greatly increasing the efficiency compared to others. We examine the selected parameters and provide different trade-offs among false rates. Our experiments report a very good performance with very high detection rate and low false detection rate when using carefully selected parameter values.

关键词： Association rules Data mining Intrusion detection Timing jitter Cryptography Delay Computer security Routing detection algorithms Delta modulation

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