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IEEE Conference on Aerospace

作者： Ruben Buaba Abdollah Homaifar Mohamed Gebril Eric Kihn Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agriculture and Technical State University Greensboro NC USA NOAA/NGDC Boulder CO USA

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.

关键词： Databases Satellites Nearest neighbor searches Feature extraction Equations Approximation algorithms Gaussian distribution

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Structural indexing of satellite images using automatic classification

Structural indexing of satellite images using automatic clas...

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IEEE Conference on Aerospace

作者： Mohamed Gebril Ruben Buaba Abdollah Homaifar Eric Kihn Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agriculture and Technical State University Greensboro NC USA NOAA/NGDC Boulder CO USA

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.

关键词： Support vector machines Wavelet transforms Satellites Feature extraction Hurricanes Shape

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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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Reduction of Player's Weight by Active Playing Using Motion Sensors

Reduction of Player's Weight by Active Playing Using Motion ...

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The 2011 International Conference on Electric and Electronics(EEIC 2011)

作者： Ondrej Krejcar Dalibor Janckulik University of Hradec Kralove FIM Department of Information Technologies VSB Technical University of Ostrava Center for Applied Cybernetics Department of Measurement and Control Faculty of Electrical Engineering and Computer Science

This project was inspired by the idea of the connection of amusement and useful thing respectively the movement by the playing games, because as is known global problem of the Word is increasing obesity caused by the addiction on the PC games at the young people. This project connects pleasurable with useful, respectively playing of the game with physical effort. By the help of the accelerometer is possible to handle by simple games to whose operating is needed physical impulsion of the player. After it would be possible to take up on this project by the beat measurement of the player in order to check on effectivity of the suggested system. Software was programmed in background C#.

关键词： accelerometer weight reducing mobile device C#

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A Globally Asymptotically Stable Polynomial Vector Field with no Polynomial Lyapunov Function

A Globally Asymptotically Stable Polynomial Vector Field wit...

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IEEE Conference on Decision and control

作者： Amir Ali Ahmadi Miroslav Krstic Pablo A. Parrilo Laboratory for Information and Decision Systems Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cymer Center for Control Systems and Dynamics Department of Mechanical and Aerospace Engineering University of California at San Diego

We give a simple, explicit example of a two-dimensional polynomial vector field that is globally asymptotically stable but does not admit a polynomial Lyapunov function.

ISBN: (纸本)9781612848006

We give a simple, explicit example of a two-dimensional polynomial vector field that is globally asymptotically stable but does not admit a polynomial Lyapunov function.

关键词： Liapunov function Vector field Polynomial asymptotic

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Home-Based Mobile Cardio-Pulmonary Rehabilitation Consultant System

Home-Based Mobile Cardio-Pulmonary Rehabilitation Consultant...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Hsu-En Lee Wen-Chih Wang Shao-Wei Lu Bo-Yuan Wu Li-Wei Ko Department of Computer Science and Brain Research Center National Chiao Tung University Institute of electrical Control Engineering and Brain Research Center National Chiao Tung University Brain Research Center and Department of Biological Science and Technology National Chiao Tung University

ISBN: (纸本)9781424441211

Cardiovascular diseases are the most popular cause of death in the world recently. For postoperatives, cardiac rehabilitation is still asked to maintain at home (phase II) to improve cardiac function. However, only one third of outpatients do the exercise regularly, reflecting the difficulty for home-based healthcare: lacking of monitoring and motivation. Hence, a cardio-pulmonary rehabilitation system was proposed in this research to improve rehabilitation efficiency for better prognosis. The proposed system was built on mobile phone and receiving electrocardiograph (ECG) signal from a wireless ECG holter via Bluetooth connection. Apart from heart rate (HR) monitor, an ECG derived respiration (EDR) technique is also included to provide respiration rate (RR). Both HR and RR are the most important vital signs during exercise but only used one physiological signal recorder in this system. In clinical test, there were 15 subjects affording Bruce Task (treadmill) to simulate rehabilitation procedure. Correlation between this system and commercial product (Custo-Med) was up to 98% in HR and 81% in RR. Considering the prevention of sudden heart attack, an arrhythmia detection expert system and healthcare server at the backend were also integrated to this system for comprehensive cardio-pulmonary monitoring whenever and wherever doing the exercise.

关键词： Electrocardiography Heart Rate electrochemical grinding Exercise Clinical Trial Rehabilitation Lake Restoration Mobile phones Cardiovascular Diseases Outpatients Cause of Death Consultant Vital Signs

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Evaluation method for heart failure using RR sequence normalized histogram

Evaluation method for heart failure using RR sequence normal...

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computers in Cardiology (CinC)

作者： Chengyu Liu Peng Li Lina Zhao Jing Yang Changchun Liu School of Control Science and Engineering Shandong University Jinan China Shandong Heng-Xin Inspection Technique Exploiture Center Jinan China Department of Computer Science and Technology Shandong University Jinan China

Histogram and scatter plot are important graphical indices for heart rate variability (HRV) analysis. However, they are difficult to quantify the complexity for time series and have little specificity to some cardiovascular diseases. This paper proposed a new graphical method for HRV analysis, which was named as RR sequence normalized histogram. Based on the analysis of RR sequence normalized histogram, three quantitative indices were defined: center-edge ratio (CER), cumulative energy (CE) and range information entropy (RIEn). To verify the validity of the new method, a total of 120 subjects (60 heart failure subjects and 60 healthy control subjects) were enrolled and the three indices were calculated respectively. A Wilcoxon rank sum test showed that: CER (p = 0.232) and CE (p = 0.417) had no statistical differences between heart failure and healthy control group while RIEn (p = 0.027) had. This indicated that the new method had a potential application in evaluating the heart failure and the index RIEn had a better effectiveness than the other two indices.

关键词： Histograms Heart rate variability Indexes Electrocardiography Educational institutions Information entropy

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Optimal Tracking of a sEMG based Force Model for a Prosthetic Hand

Optimal Tracking of a sEMG based Force Model for a Prostheti...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Chandrasekhar Potluri Madhavi Anugolu YimeskerYihun Alex Jensen Steve Chiu Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center (MCERC) College of Engineering Idaho State University MCERC College of Engineering Idaho State University Department of Electrical Engineering and Computer Science MCERC Idaho State University Department of Mechanical Engineering MCERC Idaho State University

ISBN: (纸本)9781424441211

This paper presents a surface electromyographic (sEMG)-based, optimal control strategy for a prosthetic hand. System Identification (SI) is used to obtain the dynamic relation between the sEMG and the corresponding skeletal muscle force. The input sEMG signal is preprocessed using a Half-Gaussian filter and fed to a fusion-based Multiple Input Single Output (MISO) skeletal muscle force model. This MISO system model provides the estimated finger forces to be produced as input to the prosthetic hand. Optimal tracking method has been applied to track the estimated force profile of the Fusion based sEMG-force model. The simulation results show good agreement between reference force profile and the actual force.

关键词： SEMA5B gene Prosthetic hand Skeletal muscle multiple-input single-output Fusion reactions Fusion, biological Gaussian filter

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Introduction

Communications and Control Engineering

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Communications and control engineering 2011年第9780857292551期 1-15页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China

Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the related problems of stability and stabilization are briefly formulated and discussed. Examples and simulations are provided to exhibit the primary features of the problems with various switching mechanisms. © 2011, Springer-Verlag London Limited.

关键词： Stabilization

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