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Designing a Fuzzy Rule Based System to Estimate Depth of Anesthesia

Designing a Fuzzy Rule Based System to Estimate Depth of Ane...

引用

ieee symposium on computational intelligence and Data Mining (CIDM)

作者： V. Esmaeili A. Assareh M. B. Shamsollahi M. H. Moradi N. M. Arefian Biomedical Signal and Image Processing Laboratory (BiSIPL) Sharif University of Technology Iran Amirkabir University of Technology슠 Iran Department of Anesthesia Shahid Beheshti University Iran

Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates electroencephalogram (EEG) features to quantitatively estimate the DOA. The proposed method is based on the analysis of single-channel EEG using frequency and time domain features as well as Shannon entropy measure. The fuzzy classifier is trained with features obtained from four subsets of data comprising well-defined anesthesia states: awake, moderate, general anesthesia, and isoelectric. The classifier extracts efficient fuzzy if-then rules and the DOA index is derived between 100 (full awake) to 0 (isoelectric) using fuzzy inference engine. To validate the proposed method, a clinical study has conducted on 22 patients to construct 4 subsets of reference states and also to compare the results with CSM monitor (Danmeter, Denmark), which has revealed satisfactory correlation with clinical assessments

关键词： Fuzzy systems Knowledge based systems Anesthesia Direction of arrival estimation Electroencephalography Frequency domain analysis Time domain analysis Entropy Frequency measurement Time measurement

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3D-5 Parameter Estimation of the Homodyned K Distribution Based on signal to Noise Ratio

3D-5 Parameter Estimation of the Homodyned K Distribution Ba...

引用

ieee symposium (IUS) Ultrasonics

作者： M. Martin-Fernandez R. Cardenes C. Alberola-Lopez Image Processing Laboratory (LPI) Universidad de Valladolid Valladolid Spain

The Homodyned K (H-K) distribution is very important in Ultrasound (US) imaging because it models the speckle in a general way, even if the number of scatterers per resolution cell is low and if a coherent component exists. Due to the analytical complexity of this distribution, only a few works based on the H-K have been reported and other simpler distributions have been used instead. Here we provide evidence that, once we have the signal to noise ratio (SNR) from a set of parameters of the H-K distribution, we can estimate the parameters of any given sample set in an easy computational way. In addition, we present a validation study for our estimation procedure.

关键词： Parameter estimation signal to noise ratio Rayleigh scattering Speckle Scattering parameters Ultrasonic imaging signal resolution image processing Laboratories image resolution

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An efficient image coding using multiple subbands integer wavelet decomposition

An efficient image coding using multiple subbands integer wa...

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Li-bao Zhang Xian-chuan Yu College of Information Science and Technology Beijing Normal University Beijing China

Integer wavelet transform (IWT) and IWT-based image coding offer many advantages over traditional wavelet. But coefficient magnitudes of the IWT-image have smaller dynamic change value and worse energy compaction than the first generation wavelet. Those reduce efficiency of IWT-based coding. In this paper, we present a new still image coder based on multiple subbands decomposition and IWT (integer wavelet transform). These high frequency subbands with the higher entropy can be decomposed secondly. Experimental results show that the lossy performance of the new coder is quite competitive with other efficient lossy compression methods.

关键词： image coding Discrete wavelet transforms Wavelet transforms Frequency Entropy signal processing algorithms Filter bank Performance loss Discrete transforms computational complexity

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Development of Visual Simultaneous Localization and Mapping (VSLAM) for a Pipe Inspection Robot

Development of Visual Simultaneous Localization and Mapping ...

引用

ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： Dennis Krys Homayoun Najjaran IRC-NRC Ottawa ONT Canada School of Engineering University of British Columbia Kelowna BC Canada

This paper describes a visual simultaneous localization and mapping (VSLAM) method for a pipe inspection robot that can serve as a carrier for nondestructive testing (NDT) sensors inside in-service water mains. The proposed method features a multi-sensor fusion system that simultaneously executes two important functions of the robot: construct a global image of the internal surface of the pipe and provide the location of the NDT sensors. The fusion involves a synergy between image mosaicing and dead reckoning. More precisely, the sequential images of a digital camera are stitched together with the help of an inertial navigation system (INS). In the proposed model, the processing load of image mosaicing is reduced significantly, and at the same time the accumulation of error of the INS is prevented. The functionality of the model is verified using a simulator that mimics the motion of a pipe inspection robot inside a water main.

关键词： Simultaneous localization and mapping Inspection Robot sensing systems Sensor phenomena and characterization Nondestructive testing image sensors Sensor fusion Sensor systems Dead reckoning Digital cameras

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An Iterative Fuzzy Segmentation Algorithm for Recognizing an Odor Source in Near Shore Ocean Environments

An Iterative Fuzzy Segmentation Algorithm for Recognizing an...

引用

ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： Wei Li Computer Science Department California State University Bakersfield Bakersfield CA USA

A mission of chemical plume tracing (CPT) in near-shore and ocean environments is to navigate an autonomous underwater vehicle (AUV) to find a chemical plume, to trace the plume to its source, and to declare the source location. It is necessary to recognize the declared odor source by using a visual system. Color images, which were taken in near-shore ocean environments when the source was declared, are very vague due to dim illumination conditions and fluid advection effects. This paper presents an iterative fuzzy segmentation (IFS) algorithm for extracting color components of the chemical plume and the odor source for visual confirmation of the correct declared odor source. The proposed approach might be of general interest in image processing and computer vision.

关键词： Iterative algorithms Oceans Chemicals Color Navigation Underwater vehicles Position measurement Visual system Lighting image segmentation

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A Vision System for Precision MAV Targeted Landing

A Vision System for Precision MAV Targeted Landing

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ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： Barrett Edwards James Archibald Wade Fife D. J. Lee Department of Electrical and Computer Engineering Brigham Young University USA

A field programmable gate array (FPGA) system implementation capable of being mounted onboard a micro aerial vehicle (MAV) (less than 5 pounds) that can perform the processing tasks necessary to identify and track a marked target landing site in real-time is presented. This implementation was designed to be an image processing subsystem that is mounted on a MAV to assist an autopilot system with vision-related tasks. This paper describes the FPGA vision system architecture and algorithms implemented to segment and locate a colored cloth target that specifies the exact landing location. Once the target landing site is identified, the exact location of the landing site is transmitted to the autopilot, which then implements the trajectory adjustments required to autonomously land the MAV on the target. Results of two flight test situations are presented. In the first situation, the MAV lands on a static target. The second situation includes a moving target, which in our tests was the back of a moving vehicle. This FPGA system is an application-specific configuration of the helios robotic vision platform developed at Brigham Young University.

关键词： Machine vision Field programmable gate arrays Testing Target tracking Real time systems image processing image segmentation Trajectory Remotely operated vehicles Robot vision systems

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Vision Based Vehicle Localization for Autonomous Navigation

Vision Based Vehicle Localization for Autonomous Navigation

引用

ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： Steven J. Velat Jaesang Lee Nicholas Johnson Carl D. Crane

The vast majority of Autonomous Ground Vehicles in development today operate with GPS based navigation systems. While the accuracy of GPS systems has improved greatly over the previous decade, the stability of their signal has not. The phenomenon is commonly known as "drift" and may have a magnitude of more than a few meters. This paper outlines a method for vision based correction and localization of vehicle position through consideration of a priori information and perceived road characteristics. The approach is called Vision Based Position Correction for Urban Environments, and it will be deployed in the 2007 DARPA Urban Challenge.

关键词： Remotely operated vehicles Mobile robots Navigation Global Positioning System Road vehicles Error correction Intelligent sensors Land vehicles Cameras image edge detection

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Multiscale bandelet image compression

Multiscale bandelet image compression

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Shuyuan Yang Fan Liu Min Wang Licheng Jiao Institute of Intelligence Information Processing National laboratory of Radar signal processing Department of Electrical Engineering Xidian University Xi'an China

The estimation of basis shapes, the partition of image and the optimization of geometric flows are three key issues in the implementation of the second Bandelets proposed by peyer. Compared with other polynomial geometric flows, linear geometric flows are commonly used because of its simplest structure and least parameters to store. However, the actual structure of edges and contours can only be considered as lines in a local region. So the size of partition blocks should be small so as to the geometric regularities in each block can be approximated as linear. The geometric regularities mainly appear in the high frequency subbands of images, so in this paper we proposed a multi-scale Bandelet transform based on complete wavelet packet decomposition. And a fixed size of image partition is employed in each high frequency subbands. In relative to the second generation Bandelet, it has quick implementation and comparable performance.

关键词： image coding image edge detection Wavelet packets Radar signal processing Polynomials Frequency image representation Anisotropic magnetoresistance Geometry Information processing

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Computer Vision Studies Using Stochastic Resonance/Information-theoretic Methods

Computer Vision Studies Using Stochastic Resonance/Informati...

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ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： D. W. Repperger R. G. Roberts A. R. Pinkus Air Force Research Laboratory OH USA Department of Electrical and Computer Engineering FAMU and FSU College of Engineering Tallahassee FL USA

An investigation into computer vision techniques is conducted using a procedure from nonlinear dynamics termed "stochastic resonance." This work involves concepts from detection theory, information theory and nonlinear dynamics. An information distance metric is synthesized which helps define the dependent measure to be used with the stochastic resonance optimization. Monte Carlo simulations show the efficacy of the proposed method. A class of test objects are presented to fairly evaluate the utility of the proposed methods introduced.

关键词： Computer vision Stochastic resonance Strontium signal processing Physics Information theory Application software Object recognition Noise figure computational intelligence

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Nonlinear Dynamic System Identification Based on Multiobjectively Selected RBF Networks

Nonlinear Dynamic System Identification Based on Multiobject...

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ieee symposium on computational intelligence in Multi-Criteria Decision-Making, MCDM

作者： Nobuhiko Kondo Toshiharu Hatanaka Katsuji Uosaki Department of Information and Physical Sciences Osaka University Suita Japan Department of Management and Information Sciences Fukui University of Technology Fukui Japan

In this paper, nonlinear dynamic system identification by using multiobjectively selected RBF network is considered. RBF networks are widely used as a model structure for nonlinear systems. The determination of its structure that is the number of basis functions is prior important step in system identification, and the tradeoff between model complexity and accuracy exists in this problem. By using multiobjective evolutionary algorithms, the candidates of the RBF network structure are obtained in the sense of Pareto optimality. We discuss an application to system identification by using such RBF networks having Pareto optimal structures. Some numerical simulations for nonlinear dynamic systems are carried out to show the applicability of the proposed approach.

关键词： Nonlinear dynamical systems System identification Radial basis function networks Nonlinear systems Artificial neural networks Evolutionary computation Mathematical model Stochastic systems signal processing algorithms Power system modeling

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