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Surface defect detection using 3D imaging for commercial automated surface inspection system performance improvement

Surface defect detection using 3D imaging for commercial aut...

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作者： Chen, Bin Zhang, Liwei Long, Hal A. Department of Electrical and Computer Engineering Purdue University Calumet Hammond IN 46323 United States Processing and Control Global Research and Development Center ArcelorMittal East Chicago East Chicago IN 46312 United States

While most commercial automated surface inspection system (ASIS) has built-in functions for defect detection and classification, achieving high classification performance on pickled and noisy strip surfaces has remained challenging because of the diversity in defect types and the similarity in patterns and features in 2D images captured by cameras. A novel technique using laser triangulation meters was implemented with 3D surface profiling for better defect detection on pickled and noisy strip surfaces in the lab environment. The experimental results have shown significant performance improvement in surface defect detection especially in identifying the severe defects from less severe or uninterested defects.

关键词： Surface defects

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Structural indexing of satellite images using automatic classification

Structural indexing of satellite images using automatic clas...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Gebril, Mohamed Buaba, Ruben Homaifar, Abdollah Kihn, Eric Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 United States NOAA/NGDC 325 Broadway Boulder CO 80305 United States

ISBN: (纸本)9781424473502

Shape descriptors have been used frequently as features to characterize an image for classification and image retrieval tasks. The problem of recognizing classes of objects in images is important for annotation and indexing of Satellite image databases. In this paper, a comparison between shape and texture features for classification is presented. The classification is based on Support Vector Machine (SVM) learning. SVM classifier can be learned from training data of relevance images and irrelevance images marked by users. Using the classifier, the system can retrieve more images relevant to the query in the database efficiently. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate that using the shape features give a better classification accuracy than that of the texture features. © 2011 IEEE.

关键词： Image classification

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Satellite image retrieval application using Locality Sensitive Hashing in L2-space

Satellite image retrieval application using Locality Sensiti...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Buaba, Ruben Homaifar, Abdollah Gebril, Mohamed Kihn, Eric Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 United States NOAA/NGDC 325 Broadway Boulder CO 80305 United States

ISBN: (纸本)9781424473502

This paper demonstrates the use of the Locality Sensitive Hashing technique operating in Euclidean metric space to build a data structure for Defense Meteorological Satellite Program (DMSP) satellite imagery database. Due to the high dimensionality of these images, their texture feature vectors are used. These features are extracted using pyramidal wavelet decomposition coupled with Gaussian central moments. Families of hash functions are drawn randomly and independently from a Gaussian distribution to create hash tables for these texture feature vectors of the images. The hash tables and the families of hash functions are then used to find similar satellite image matches to any query image in sublinear search time. When tested, our algorithm has proven to be about thirty three times faster than the linear search algorithm. In addition, our algorithm searches less than two percent of the entire database on the average to find the possible similar image matches to any given query without loss of accuracy. © 2011 IEEE.

关键词： Hash functions

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A novel method for identification of COPD in inspiratory and expiratory states of CT images

A novel method for identification of COPD in inspiratory and...

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2011 1st Middle East Conference on Biomedical engineering, MECBME 2011

作者： Hosseini, M. Parsa Soltanian-Zadeh, Hamid Akhlaghpoor, Shahram Department of Electrical Engineering Islamic Azad University Science and Research Branch of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Radiology Tehran University of Medical Sciences Sina Hospital Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424470006

Chronic obstructive pulmonary disease (COPD) refers to a group of lung diseases that block airflow and cause a huge degree of human suffering. While there is no cure for COPD and the lung damage that results in this disease cannot be reversed, it is very important to diagnose it as early as possible. Additional to diagnosis, using a mathematical model to estimate severity of disease would be helpful for evaluation of treatment effects. This paper presents a new method for identifying COPD from three-dimensional (3-D) pulmonary X-ray CT images. The method has five main steps. First, corresponding positions of lungs in inspiration and expiration are found based on anatomical structures. Then, lung regions are segmented from the CT images by active contours. Next, the left and right lungs are separated using a sequence of morphological operations. Then, parenchyma variations in each lung are found as a relationship between inspiratory and expiratory states. Finally, a classifier is used to decide about the disease and its severity. A t-test is done to evaluate the results. Twelve patients with variable severity of COPD and twelve normal adults were included in this study. The proposed method may assist radiologists in the detection of COPD as a computer aided diagnosis (CAD) system. © 2011 IEEE.

关键词： Pulmonary diseases

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Assessing lung volumetric variation to detect and stage COPD

Assessing lung volumetric variation to detect and stage COPD

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2011 1st Middle East Conference on Biomedical engineering, MECBME 2011

ISBN: (纸本)9781424470006

Chronic obstructive pulmonary disease (COPD) is a devastating disease. In this paper, we propose a novel method for scoring of air trapping in the lungs for detection and evaluation of COPD. The proposed method finds volumetric changes of the lungs from inspiration to expiration. To this end, trachea CT images at full inspiration and expiration are compared. For this comparison, the lungs parenchyma in the inspiration and expiration images are found and changes in the surface and volume of the lungs between inspiration and expiration are used to define quantitative measures (features). Using these features, the subjects are classified into two groups of normal class and COPD patients using a Bayesian classifier. In addition, t-tests are applied to evaluate discrimination powers of the features for this classification. The main advantage of the proposed method is its ability to estimate air trapping in the lungs from CT images without human intervention. The proposed method may assists radiologists in the detection of COPD as a computer aided diagnosis (CAD) system. It may also assist them with the scoring of the disease (severity of air trapping in the lungs). © 2011 IEEE.

关键词： computerized tomography

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Study of EMS statements production and dispatcher simulation training for regional smart grid

Study of EMS statements production and dispatcher simulation...

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2011 International Conference on Information and Automation, ICIA 2011

作者： Zhang, Xilin Zhang, Fan Han, Xiaojuan Wang, Shuo Dispatching Center Changchun Power Supply Company Changchun 130012 China Developing and Planning Department Zhejiang Electric Company Hangzhou China Department of Control and Computer Engineering North China Electrical Power University Beijing 102206 China Transformation Controlled Company Jilin Electric Power Transmission Engineering Corporation Changchun 130012 China

ISBN: (纸本)9781457702686

From the characteristics in regional grid, the connotation of smart grid and the change of regulation and control integrated management after meeting the requirement of operating monitoring and scheduling management in regional smart grid, statements production of EMS and simulation training of dispatcher in the region smart grid were discussed in this paper. © 2011 IEEE.

关键词： Smart power grids

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Synergistic Lyapunov functions and backstepping hybrid feedbacks

Synergistic Lyapunov functions and backstepping hybrid feedb...

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2011 American control Conference (ACC)

作者： Christopher G. Mayhew Ricardo G. Sanfelice Andrew R. Teel Robert Bosch Limited Liability Company Palo Alto CA USA Department of AeroSpace and Mechanical Engineering University of Arizona Tucson Tucson AZ USA Center for Control Engineering and Computation Electrical and Computer Engineering Department University of California Santa Barbara CA USA

The notion of synergistic potential functions has been introduced recently in the literature and has been used as the basis for the design of hybrid feedback laws that achieve global asymptotic stabilization of a point on a compact manifold (without boundary) such as S~(1), S~(2), and SO(3). Here, synergistic potential functions are generalized--to synergistic Lyapunov functions--and are shown to be amenable to backstepping. In particular, if an affine control system admits a (weak) synergistic Lyapunov function and feedback pair then the system with an integrator added at the input also admits a synergistic Lyapunov and feedback pair. This fact enables "smoothing" hybrid feedbacks, or implementing them through a chain of integrators. In this way, hybrid control designed at a kinematic level can be redesigned for control through forces, torques, or even the derivative of these quantities. We demonstrate the backstepping procedure for attitude stabilization of a rigid body using a quaternion parametrization.

关键词： Lyapunov methods Backstepping control systems Asymptotic stability Time domain analysis Quaternions Electric potential

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On the Non-Robustness of Inconsistent Quaternion-Based Attitude control Systems using Memoryless Path-Lifting Schemes

On the Non-Robustness of Inconsistent Quaternion-Based Attit...

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2011 American control Conference (ACC)

The unit quaternion is a pervasive representation of rigid-body attitude used for the design and analysis of feedback control laws. Quaternion-based feedback control laws that are inconsistent (i.e. do not have a unique value for a given attitude) require an additional mechanism that lifts a continuous attitude trajectory to the unit quaternion space. Lifting mechanisms that are memoryless, for example, selecting the quaternion having positive scalar component, have a limited domain where they remain injective and, when used globally, introduce discontinuities into the closed-loop system. We show that such discontinuities can be exploited by an arbitrarily small measurement disturbance to stabilize attitudes far from the desired attitude and destroy "global" attractivity properties.

关键词： Quaternions Attitude control Manifolds Aerospace electronics Kinematics Feedback control Trajectory

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On Quaternion-Based Attitude control and the Unwinding Phenomenon

On Quaternion-Based Attitude Control and the Unwinding Pheno...

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American control Conference

作者： Christopher G. Mayhew Ricardo G. Sanfelice Andrew R. Teel Robert Bosch Research and Technology Center 4005 Miranda Ave. Palo Alto CA 94304 Department of Aerospace and Mechanical Engineering University of Arizona Tucson AZ 85721 Center for Control Engineering and Computation Electrical and Computer Engineering Department University of California Santa Barbara CA 93106-9560

ISBN: (纸本)9781457700811;9781457700804

The unit quaternion is a pervasive representation of rigid-body attitude used for the design and analysis of feedback control laws. Often, quaternion-based feedbacks require an additional mechanism that lifts a continuous attitude path to the unit quaternion space. When this mechanism is memoryless, it has a limited domain where it remains injective and leads to discontinuities when used globally. To remedy this limitation, we propose a hybrid-dynamic algorithm for lifting a continuous attitude path to the unit quaternion space. We show that this hybrid-dynamic mechanism allows us to directly translate quaternion-based controllers and their asymptotic stability properties (obtained in the unit-quaternion space) to the actual rigid-body-attitude space. We also show that when quaternion-based controllers are not designed to account for the double covering of the rigid-body-attitude space by a unit-quaternion parameterization, they can give rise to the unwinding phenomenon, which we characterize in terms of the projection of asymptotically stable sets.

关键词： attitude control Unwinding Quaternion lifts attitude in space Injective Human Posture controllers Attitude

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Superiority of the 3rd order approximation model to the 2nd order in Diffusion Kurtosis Imaging

Superiority of the 3rd order approximation model to the 2nd ...

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作者： Iraji, Armin Davoodi-Bojd, Esmaeil Soltanian-Zadeh, Hamid Hossein-Zadeh, Gholam-Ali Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI 48202 United States

ISBN: (纸本)9789644634284

For estimating the kurtosis parameter in Diffusion Kurtosis Imaging (DKI), usually second order expansion of the diffusion signal is used in conventional acquisition data. However, in this work, we show that this is not sufficient and should be reconsidered. Instead of using the second order expansion, we propose to use the third order expansion. At first, we show that the third order term of the Taylor's expansion has considerable values compared to second and first terms for the conventional b-values used in DKI. Then, for proving our claim empirically, we use real data to compare the proposed model with the previous one. To this end, five regions of the brain are extracted and for each region the fitting errors of both models are computed. The results confirm that the fitting error of the third order model is always (for all regions) less than the second order model. Although the improvement of the fitting error seems to be small, but considering the sensitivity analysis, this improvement can enhance the estimation of kurtosis. The resulting maps of the kurtosis parameter show this enhancement. The white matter in the map of third order model is more distinguishable than in the other model. © 2011 AmirKabir Univ of Tech.

关键词： Diffusion

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