subject:(Brownian motion processes )

Florida International University

1. O-larnnithipong, Nonnarit. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.

Degree: PhD, Electrical Engineering, 2018, Florida International University

URL: https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002

► This dissertation presents a novel approach to develop a system for real-time tracking of the position and orientation of the human hand in three-dimensional… (more)

▼ This dissertation presents a novel approach to develop a system for real-time tracking of the position and orientation of the human hand in three-dimensional space, using MEMS inertial measurement units (IMUs) and infrared cameras. This research focuses on the study and implementation of an algorithm to correct the gyroscope drift, which is a major problem in orientation tracking using commercial-grade IMUs. An algorithm to improve the orientation estimation is proposed. It consists of: 1.) Prediction of the bias offset error while the sensor is static, 2.) Estimation of a quaternion orientation from the unbiased angular velocity, 3.) Correction of the orientation quaternion utilizing the gravity vector and the magnetic North vector, and 4.) Adaptive quaternion interpolation, which determines the final quaternion estimate based upon the current conditions of the sensor. The results verified that the implementation of the orientation correction algorithm using the gravity vector and the magnetic North vector is able to reduce the amount of drift in orientation tracking and is compatible with position tracking using infrared cameras for real-time human hand motion tracking. Thirty human subjects participated in an experiment to validate the performance of the hand motion tracking system. The statistical analysis shows that the error of position tracking is, on average, 1.7 cm in the x-axis, 1.0 cm in the y-axis, and 3.5 cm in the z-axis. The Kruskal-Wallis tests show that the orientation correction algorithm using gravity vector and magnetic North vector can significantly reduce the errors in orientation tracking in comparison to fixed offset compensation. Statistical analyses show that the orientation correction algorithm using gravity vector and magnetic North vector and the on-board Kalman-based orientation filtering produced orientation errors that were not significantly different in the Euler angles, Phi, Theta and Psi, with the p-values of 0.632, 0.262 and 0.728, respectively. The proposed orientation correction algorithm represents a contribution to the emerging approaches to obtain reliable orientation estimates from MEMS IMUs. The development of a hand motion tracking system using IMUs and infrared cameras in this dissertation enables future improvements in natural human-computer interactions within a 3D virtual environment. Advisors/Committee Members: Armando Barreto, Malek Adjouadi, Jean Andrian, Wei Zeng.

Subjects/Keywords: Hand Motion Tracking; Inertial Measurement Unit; Gyroscope Drift; Sensor Fusion; Orientation Correction Algorithm; Quaternion; Navigation, Guidance, Control, and Dynamics; Robotics; Signal Processing

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APA (6^th Edition):

O-larnnithipong, N. (2018). Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002

Chicago Manual of Style (16^th Edition):

O-larnnithipong, Nonnarit. “Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.” 2018. Doctoral Dissertation, Florida International University. Accessed December 12, 2019. https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002.

MLA Handbook (7^th Edition):

O-larnnithipong, Nonnarit. “Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.” 2018. Web. 12 Dec 2019.

Vancouver:

O-larnnithipong N. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2019 Dec 12]. Available from: https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002.

Council of Science Editors:

O-larnnithipong N. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3905 ; FIDC007002

NSYSU

2. Fu, Hao-fong. A study for a non-blocked motion compensation design.

Degree: Master, Electrical Engineering, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-153731

► MEPG and H.26X series are two major standards of video compression. Motion compensation is an important method in the above standards. In this thesis, we… (more)

Subjects/Keywords: MPEG; Motion compensation; Mathematical morphology; Optical flow; Video compression

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APA (6^th Edition):

Fu, H. (2018). A study for a non-blocked motion compensation design. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-153731

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Fu, Hao-fong. “A study for a non-blocked motion compensation design.” 2018. Thesis, NSYSU. Accessed December 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-153731.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Fu, Hao-fong. “A study for a non-blocked motion compensation design.” 2018. Web. 12 Dec 2019.

Vancouver:

Fu H. A study for a non-blocked motion compensation design. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Dec 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-153731.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fu H. A study for a non-blocked motion compensation design. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-153731

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Vanderbilt University

3. Abdelaziz, Hamzah Ahmed. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

URL: http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;

► The growing advances in information technologies have led to a new generation of systems known as cyber-physical systems (CPS). CPS are multi-discipline engineering systems, which… (more)

▼ The growing advances in information technologies have led to a new generation of systems known as cyber-physical systems (CPS). CPS are multi-discipline engineering systems, which integrate computational and physical processes such as smart buildings, and self-driving urban vehicles. Great opportunities and research challenges arise to enable the development of new CPS technologies that can incorporate complex computational algorithms such as learning with complex physical systems. Moreover, the developments in sensor technologies enable the utilization of data to build robust models of complex physical systems. These robust models are needed to achieve intelligent CPS and to automate their design and control processes. Data availability can potentially support the use of machine learning techniques to develop nonparametric robust models, which can be used for prediction, analysis, and control of CPS. This dissertation presents a data-driven approach to learn, analyze and control many modern CPS based on nonparametric stochastic hybrid systems (SHS). SHS are multi-modal models which represent systems with coupled continuous and discrete dynamics. This dissertation presents an online clustering-based model learning approach, which leverages sensor measurements to learn nonparametric SHS based on Gaussian processes and periodic Markov chains. Essentially, Gaussian processes represent the continuous dynamics of the SHS and periodic Markov chains represent the discrete dynamics of the SHS. The learning approach uses a clustering algorithm such as K-means to identify the latent discrete states of the system, and it runs efficiently in an online fashion so that the system model is updated as new sensor measurements become available. In addition, this dissertation presents a reachability analysis algorithm for a finite-horizon. The reachability analysis algorithm estimates the distribution of the reachable states using mixtures of Gaussian processes and it provides an efficient multi-step prediction for nonparametric SHS. Further, this dissertation presents a scenario-based model predictive control (MPC) to provide an optimal control algorithm for stochastic systems represented by nonparametric SHS. The control algorithm estimates analytically the gradients of the SHS model and the cost function to enhance the accuracy and the efficiency of its optimization routines. Our work considers an in-depth case study of smart buildings and high-fidelity simulation to evaluate and to demonstrate the developed approach. Advisors/Committee Members: Xenofon D. Koutsoukos (chair), Gautam Biswas (committee member), Aniruddha S. Gokhale (committee member), Richard A. Peters (committee member), D. Mitchell Wilkes (committee member).

Subjects/Keywords: Gaussian Processes; Stochastic Hybrid Systems; Reachability Analysis; Cyber Physical Systems; Model Predictive Control; Model Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Abdelaziz, H. A. (2018). A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;

Chicago Manual of Style (16^th Edition):

Abdelaziz, Hamzah Ahmed. “A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 12, 2019. http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;.

MLA Handbook (7^th Edition):

Abdelaziz, Hamzah Ahmed. “A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.” 2018. Web. 12 Dec 2019.

Vancouver:

Abdelaziz HA. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 12]. Available from: http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;.

Council of Science Editors:

Abdelaziz HA. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;

University of California – Riverside

4. Yu, Hongsheng. Towards Semi-Dense Indirect Visual-Inertial Odometry.

Degree: Electrical Engineering, 2018, University of California – Riverside

URL: http://www.escholarship.org/uc/item/1xc2r49b

► In this work, we focus on motion estimation in unknown environments using measurements provided by an inertial measurement unit (IMU) and a monocular camera. We… (more)

▼ In this work, we focus on motion estimation in unknown environments using measurements provided by an inertial measurement unit (IMU) and a monocular camera. We are interested in estimating the trajectory of a moving platform, a problem typically termed visual-inertial odometry (VIO). Most of existing methods for vision-aided inertial localization rely on the detection and tracking of point features in the images. These approaches greatly reduce the amount of data to process in each image, and are thus suitable for application in resource-constrained systems. However these treatments inevitably discard information that is beneficial for motion estimation, since not all parts of the images are used. Therefore there has been growing interest in direct methods which rely on directly using image intensities for motion estimation. Although this approach makes it possible to use more pixel locations, it also suffers a number of shortcomings (e.g. non-Lambertian surface properties, and the dependence on camera photometric parameters). By contrast we are interested in approaches that rely on geometry of straight lines or image contours rather than raw image intensities (thus the proposed approaches are indirect methods). This enables our algorithms to operate in environments where point features are sparse, while circumventing the shortcomings of direct methods.This thesis is divided into two main parts. We first propose a visual-inertial localization algorithm that employs lines as measurements, in addition to traditional point features. Specifically, a novel parameterization and measurement model for line features are proposed, and we show how line features can be used for self-calibration of the IMU and camera. Our results demonstrate that the proposed approach not only leads to improved localization accuracy in point-feature-poor environments, but also reduces calibration errors compared to the point-only approach. We then propose a method for monocular visual-inertial odometry that utilizes image edges as measurements. We here relax the requirement for having straight lines, and do not employ any assumption on the geometry of the scene. This enables us to use measurements from all image areas with significant gradient. In addition, we have proposed a novel edge parameterization and measurement model that explicitly account for the fact that edge points can only provide useful information in the direction of the image gradient. Through both Monte-Carlo simulations, as well as results from real-world experiments, we demonstrate that the proposed edge-based approach to visual-inertial odometry is consistent, and outperforms the point-based one.

Subjects/Keywords: Electrical engineering; Motion Estimation; Sensor calibration; Visual-inertial Odometry

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APA (6^th Edition):

Yu, H. (2018). Towards Semi-Dense Indirect Visual-Inertial Odometry. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/1xc2r49b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yu, Hongsheng. “Towards Semi-Dense Indirect Visual-Inertial Odometry.” 2018. Thesis, University of California – Riverside. Accessed December 12, 2019. http://www.escholarship.org/uc/item/1xc2r49b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yu, Hongsheng. “Towards Semi-Dense Indirect Visual-Inertial Odometry.” 2018. Web. 12 Dec 2019.

Vancouver:

Yu H. Towards Semi-Dense Indirect Visual-Inertial Odometry. [Internet] [Thesis]. University of California – Riverside; 2018. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/1xc2r49b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu H. Towards Semi-Dense Indirect Visual-Inertial Odometry. [Thesis]. University of California – Riverside; 2018. Available from: http://www.escholarship.org/uc/item/1xc2r49b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of California – Santa Cruz

5. Aranburu, Alex. IMU Data Processing to Recognize Activities of Daily Living with Smart Headset.

Degree: Electrical Engineering, 2018, University of California – Santa Cruz

URL: http://www.escholarship.org/uc/item/5rs5t0sf

► This thesis proposes a novel approach for the detection and recognition of humanmovements. Specically, Activities of Daily Living (ADL) such as standing up,sitting down and… (more)

Subjects/Keywords: Computer engineering; Electrical engineering; Information technology; Activities of Daily Living; Headset; IMU; Motion Recognition; Orientation Estimation; Position Estimation

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APA (6^th Edition):

Aranburu, A. (2018). IMU Data Processing to Recognize Activities of Daily Living with Smart Headset. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/5rs5t0sf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Aranburu, Alex. “IMU Data Processing to Recognize Activities of Daily Living with Smart Headset.” 2018. Thesis, University of California – Santa Cruz. Accessed December 12, 2019. http://www.escholarship.org/uc/item/5rs5t0sf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Aranburu, Alex. “IMU Data Processing to Recognize Activities of Daily Living with Smart Headset.” 2018. Web. 12 Dec 2019.

Vancouver:

Aranburu A. IMU Data Processing to Recognize Activities of Daily Living with Smart Headset. [Internet] [Thesis]. University of California – Santa Cruz; 2018. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/5rs5t0sf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aranburu A. IMU Data Processing to Recognize Activities of Daily Living with Smart Headset. [Thesis]. University of California – Santa Cruz; 2018. Available from: http://www.escholarship.org/uc/item/5rs5t0sf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Arizona State University

6. WEI, SIYUAN. Low Cost 3D Flow Estimation in Medical Ultrasound.

Degree: Electrical Engineering, 2018, Arizona State University

URL: http://repository.asu.edu/items/51669

Subjects/Keywords: Electrical engineering; Clutter filter; Medical ultrasound; Motion estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

WEI, S. (2018). Low Cost 3D Flow Estimation in Medical Ultrasound. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/51669

Chicago Manual of Style (16^th Edition):

WEI, SIYUAN. “Low Cost 3D Flow Estimation in Medical Ultrasound.” 2018. Doctoral Dissertation, Arizona State University. Accessed December 12, 2019. http://repository.asu.edu/items/51669.

MLA Handbook (7^th Edition):

WEI, SIYUAN. “Low Cost 3D Flow Estimation in Medical Ultrasound.” 2018. Web. 12 Dec 2019.

Vancouver:

WEI S. Low Cost 3D Flow Estimation in Medical Ultrasound. [Internet] [Doctoral dissertation]. Arizona State University; 2018. [cited 2019 Dec 12]. Available from: http://repository.asu.edu/items/51669.

Council of Science Editors:

WEI S. Low Cost 3D Flow Estimation in Medical Ultrasound. [Doctoral Dissertation]. Arizona State University; 2018. Available from: http://repository.asu.edu/items/51669

Arizona State University

7. Kanberoglu, Berkay. Advances in Motion Estimators for Applications in Computer Vision.

Degree: Electrical Engineering, 2018, Arizona State University

URL: http://repository.asu.edu/items/51694

Subjects/Keywords: Electrical engineering; Biomedical engineering; Change detection; Interpolation; Motion estimation; Neuronavigation; Optical flow; Synthetic aperture radar

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kanberoglu, B. (2018). Advances in Motion Estimators for Applications in Computer Vision. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/51694

Chicago Manual of Style (16^th Edition):

Kanberoglu, Berkay. “Advances in Motion Estimators for Applications in Computer Vision.” 2018. Doctoral Dissertation, Arizona State University. Accessed December 12, 2019. http://repository.asu.edu/items/51694.

MLA Handbook (7^th Edition):

Kanberoglu, Berkay. “Advances in Motion Estimators for Applications in Computer Vision.” 2018. Web. 12 Dec 2019.

Vancouver:

Kanberoglu B. Advances in Motion Estimators for Applications in Computer Vision. [Internet] [Doctoral dissertation]. Arizona State University; 2018. [cited 2019 Dec 12]. Available from: http://repository.asu.edu/items/51694.

Council of Science Editors:

Kanberoglu B. Advances in Motion Estimators for Applications in Computer Vision. [Doctoral Dissertation]. Arizona State University; 2018. Available from: http://repository.asu.edu/items/51694

NSYSU

8. Peng, Yu-xiang. Development of a Miniaturized Suspended Transformer-based Power Divider with High-k Dielectric Capacitors.

Degree: Master, Electrical Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717117-011637

► Since the Internet of Things (IoT) and Internet of Vehicle (IoV) markets are increasing rapidly, the wireless communication system with higher data rate, information accuracy… (more)

▼ Since the Internet of Things (IoT) and Internet of Vehicle (IoV) markets are increasing rapidly, the wireless communication system with higher data rate, information accuracy and farther transmission distance are developed for matching the requirements of the multi-input multi-output (MIMO) techniques. However, there are similar passive and active devices with the same functions consume extra area in the MIMO receiver system. In order to improve the disadvantage, this thesis designed and developed a multiplex power divider replaced two traditional power dividers utilizing the surface micromachining process, and diminish the dimensions of divider for the needs of wireless communications network products. To realize the power divider with four-phase outputs, low transmission losses and compact size characteristics, the main fabrication processes in this thesis including: (i) Employ two central tapped power divider to reduce the chip size; (ii) Utilize suspended structure to reduce the insertion loss caused by parasitic capacitance between device and substrate; (iii) High dielectric constant material (zirconium oxide) used as the dielectric layer to significantly reduce dimension. This power divider constructed of bottom electrode, supporting posts and top electrode. The main fabrication processes including six thin-film depositions, three copper electroplating, five graphic definitions of photolithography and four etching processes. Compared with our previous research (Chia-Lung Song, senior, 2016). The chip size is significantly reduced from 2900 Î¼m (L) Ã 2800 Î¼m (W) Ã 21 Î¼m (H) to 1290 Î¼m (L) Ã 1060 Î¼m (W) Ã 24.15 Î¼m (H), the reduction range is about 593%. The multiplex power divider with 2.4 GHz operating frequency and measured from 10 MHz to 8.0 GHz by network analyzer. There were two generations of the power divider in this thesis. The initial generation with double-layer capacitance showed the four output insertion losses are -71.10, -57.25, -50.83 and -71.33 dB, and -10.89, -12.27, -8.98 and -15.98 dB in the subsequent generation with single-layer capacitance, all the output insertion loss characteristics improved above than 78%. Moreover, the input return losses enhanced from -0.34 and -0.32 dB to -1.34 and -1.17 dB, which improved 294% with early. The output return losses demonstrate -0.82, -0.84, -0.87 and -0.69 dB in the previous generation, and -1.51, -2.09, -7.25 and -2.18 dB in the following generation, which enhanced more than 84%. Compare with the standard phase difference (180Â°), the initial generation exhibited 87.99Â° and 61.42Â°, whereas 9.93Â° and 0.50Â° in the subsequent generation. Advisors/Committee Members: Yu-Cheng Lin (chair), I-Yu Huang (committee member), Cheng-Yu Ma (chair), Feng-Renn Juang (chair).

Subjects/Keywords: NEMS; surface micromachining; High-k dielectric; copper electroplating fabrication processes; suspended structure; power divider

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Peng, Y. (2017). Development of a Miniaturized Suspended Transformer-based Power Divider with High-k Dielectric Capacitors. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717117-011637

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Peng, Yu-xiang. “Development of a Miniaturized Suspended Transformer-based Power Divider with High-k Dielectric Capacitors.” 2017. Thesis, NSYSU. Accessed December 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717117-011637.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Peng, Yu-xiang. “Development of a Miniaturized Suspended Transformer-based Power Divider with High-k Dielectric Capacitors.” 2017. Web. 12 Dec 2019.

Vancouver:

Peng Y. Development of a Miniaturized Suspended Transformer-based Power Divider with High-k Dielectric Capacitors. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717117-011637.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Peng Y. Development of a Miniaturized Suspended Transformer-based Power Divider with High-k Dielectric Capacitors. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717117-011637

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

9. Glauser, Lincoln. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.

Degree: MS, Electrical Engineering, 2017, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/9572

► In regards to data transmission in communication systems, there is need for robust emulation of communication channels via Gaussian noise generation. Over time, larger… (more)

Subjects/Keywords: Noise generators; Random number generation; Approximation methods; Error analysis; Optimization methods; Gaussian processes; Parity check codes

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APA (6^th Edition):

Glauser, L. (2017). The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9572

Chicago Manual of Style (16^th Edition):

Glauser, Lincoln. “The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed December 12, 2019. https://scholarworks.rit.edu/theses/9572.

MLA Handbook (7^th Edition):

Glauser, Lincoln. “The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.” 2017. Web. 12 Dec 2019.

Vancouver:

Glauser L. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Dec 12]. Available from: https://scholarworks.rit.edu/theses/9572.

Council of Science Editors:

Glauser L. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9572

University of Minnesota

10. Wu, Kai. Magneto-Nanosensor Platforms for Biosensing Applications.

Degree: PhD, Electrical Engineering, 2017, University of Minnesota

URL: http://hdl.handle.net/11299/198407

► In recent years, magnetic nanoparticles (MNPs) have been widely used in clinical and medical applications. MNPs are used as contrast agents in magnetic particle imaging… (more)

▼ In recent years, magnetic nanoparticles (MNPs) have been widely used in clinical and medical applications. MNPs are used as contrast agents in magnetic particle imaging (MPI) [1-6] and magnetic resonance imaging (MRI)[7, 8], carriers for drug delivery[9-12], tiny heating sources for hyperthermia cancer treatments[13-15], labels for magnetic biosensing[16-23], etc. MNPs-based biosensing strategies have received considerable attention because of their unique advantages over other techniques. For example, iron oxide MNPs are biocompatible, nontoxic, inexpensive to produce, environmentally safe, physically and chemically stable. In addition, most biological samples exhibit diamagnetism or paramagnetism properties, and thus highly sensitive measurements can be performed in visually obscured samples without further processing[24]. This thesis will focus on the use of MNPs for biosensing applications based on two detection platforms: search coil-based biosensor (volumetric based biosensing platform) and giant magnetoresistance (GMR) biosensor (surface based biosensing platform). The volumetric based biosensing platforms measure analytical signals that come from the entire detection volume, which makes assays simple and fast[25]. Representative examples of volumetric sensors include nuclear magnetic resonance (NMR) devices[26, 27], magnetic susceptometers[25, 28], and conventional superconducting-quantuminterference devices (SQUIDs)[29, 30]. In this thesis, the magnetic dynamics of ferrofluids are investigated, the Brownian and Néel relaxation models of MNPs are revisited and optimized, the energy barrier model and dipolar interaction model are taken into consideration in predicting magnetic responses of MNP suspensions. Based on these mathematic models, the hyperthermia performances of MNPs under different alternating magnetic fields (AMF) are evaluated. A search coil-based biosensor system is built up, MNPs have been used for the rapid in vitro human serum viscosity measurement, which successfully measured human serum viscosity in less than 1.5 minutes with an error rate lower than 5%. Furthermore, this search coil system has been used to characterize the physical properties of MNPs in liquid phase. By analyzing the phase lag and harmonic ratios in the MNPs, it is possible to predict the saturation magnetization, the average hydrodynamic size, the dominating relaxation processes of MNPs, and the distinction between single- and multicore nanoparticles. It is feasible to use search coil as a method to characterize physical and magnetic properties of MNPs, which may be applied as building blocks in nanoparticle characterization devices. The surface based biosensing platforms directly detect individual magnetic objects near the sensing elements. These sensors generally achieve higher sensitivity and finer resolution than volumetric ones; however, they require target samples to be placed in close proximity to the sensor surface. Such an arrangement limits the assay configuration, and typically causes the assays to be more…

Subjects/Keywords: Brownian and Néel relaxation; giant magnetoresistance biosensor; immunoassay; Influenza A virus; magnetic nanoparticles; search coil

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APA (6^th Edition):

Wu, K. (2017). Magneto-Nanosensor Platforms for Biosensing Applications. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/198407

Chicago Manual of Style (16^th Edition):

Wu, Kai. “Magneto-Nanosensor Platforms for Biosensing Applications.” 2017. Doctoral Dissertation, University of Minnesota. Accessed December 12, 2019. http://hdl.handle.net/11299/198407.

MLA Handbook (7^th Edition):

Wu, Kai. “Magneto-Nanosensor Platforms for Biosensing Applications.” 2017. Web. 12 Dec 2019.

Vancouver:

Wu K. Magneto-Nanosensor Platforms for Biosensing Applications. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11299/198407.

Council of Science Editors:

Wu K. Magneto-Nanosensor Platforms for Biosensing Applications. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/198407

NSYSU

11. Chen, Chien-Lun. Doppler-Shift Detection of Wi-Fi Signals Combined with Computer Vision Processing for Tracking 3D Hand Gesture Trajectory.

Degree: Master, Electrical Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618117-174544

► This thesis presents a 3-D hand gesture tracking technique using the 2D camera of a smartphone and injection-locked Doppler radar system based on Wi-Fi signals.… (more)

▼ This thesis presents a 3-D hand gesture tracking technique using the 2D camera of a smartphone and injection-locked Doppler radar system based on Wi-Fi signals. The motion detection principle of this technique involves methods of pixel-based computer vision and the Doppler phase-shift detection. This thesis proposed a spatial coordinate calibration algorithm to obtain the information of the transverse displacement component of the hand gesture by converting the pixel coordinates of the image in the smartphone into the space coordinates of the radar. On the other hand, the Doppler phase shift caused by hand gestures was extracted from the Wi-Fi reflection signal by using the Wi-Fi signal-based radar system to obtain the information of the longitudinal displacement component of the same hand gesture. Finally, the 3-D hand gesture trajectory was constructed in space coordinates by combining the transverse and longitudinal displacement components. In terms of computer vision processing, the dynamic tracking technique was used in early stage, the center of the palm was identified by the difference between the moving target and the background model. But there were some issues that needed to modify the algorithm further. At last, the blocks identification algorithm based on the HSL-color was used in follow-up experiments. In terms of the radar technique, the monostatic passive radar system was used to perform 1-D and both hands gesture detections first, and then the 3-D gesture trajectory model was accomplished with the help of signal processing and computer vision. Eventually, developments of non-real-time and real-time gesture tracking techniques were achieved with the hybrid system. Talking about the technology of 3-D hand gesture recognition (HGR), hybrid gesture sensing technique has higher potential than the current mainstream optical methods. Advantages of this hybrid detection method are lower computation resources and power consumption than the other. After miniaturization, the proposed system can be used in the smartphone to achieve AR or VR functions and doesnât need extra cameras or RF transmission source for 3-D gesture detection applications. Advisors/Committee Members: Tzyy-Sheng Horng (committee member), Sheng-Fuh Chang (chair), Huey-Ru Chuang (chair), Fu-Kang Wang (chair), Chao-Hsiung Tseng (chair).

Subjects/Keywords: augmented reality; hybrid motion detection system; Wi-Fi Doppler radar; pixel- based computer vision; 3-D hand gesture detection; coordinate conversion; injection-locked

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APA (6^th Edition):

Chen, C. (2017). Doppler-Shift Detection of Wi-Fi Signals Combined with Computer Vision Processing for Tracking 3D Hand Gesture Trajectory. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618117-174544

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Chien-Lun. “Doppler-Shift Detection of Wi-Fi Signals Combined with Computer Vision Processing for Tracking 3D Hand Gesture Trajectory.” 2017. Thesis, NSYSU. Accessed December 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618117-174544.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Chien-Lun. “Doppler-Shift Detection of Wi-Fi Signals Combined with Computer Vision Processing for Tracking 3D Hand Gesture Trajectory.” 2017. Web. 12 Dec 2019.

Vancouver:

Chen C. Doppler-Shift Detection of Wi-Fi Signals Combined with Computer Vision Processing for Tracking 3D Hand Gesture Trajectory. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618117-174544.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen C. Doppler-Shift Detection of Wi-Fi Signals Combined with Computer Vision Processing for Tracking 3D Hand Gesture Trajectory. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618117-174544

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

12. Lin, Jia-Ying. 3D Virtual Guidance System for Human Rehabilitation Assistance.

Degree: Master, Electrical Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0013117-191451

► Depth camera relies on its three-dimensional information capture capabilities and low prices, has been widely used in many areas, such as consumer, gaming, education, robotics… (more)

Subjects/Keywords: 3D information processing; Motion analysis; Tele-rehabilitation; Virtual reality; Depth camera

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APA (6^th Edition):

Lin, J. (2017). 3D Virtual Guidance System for Human Rehabilitation Assistance. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0013117-191451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lin, Jia-Ying. “3D Virtual Guidance System for Human Rehabilitation Assistance.” 2017. Thesis, NSYSU. Accessed December 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0013117-191451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lin, Jia-Ying. “3D Virtual Guidance System for Human Rehabilitation Assistance.” 2017. Web. 12 Dec 2019.

Vancouver:

Lin J. 3D Virtual Guidance System for Human Rehabilitation Assistance. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0013117-191451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin J. 3D Virtual Guidance System for Human Rehabilitation Assistance. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0013117-191451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

13. Nedorezov, Adam Jonathan. Active Contour Motion Planning in the Inverse Perspective Mapping Frame.

Degree: M. Eng., Electrical Engineering, 2016, Penn State University

URL: https://etda.libraries.psu.edu/catalog/13364ajn5049

► This work explores the use of active contours for the purposes of motion planning in a highway environment. Traditionally active contours have been used in… (more)

Subjects/Keywords: Active Contour; Path Planning; Vanishing Point Estimation; Inverse Perspective Mapping; Motion Planning; Obstacle Detection

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APA (6^th Edition):

Nedorezov, A. J. (2016). Active Contour Motion Planning in the Inverse Perspective Mapping Frame. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/13364ajn5049

Chicago Manual of Style (16^th Edition):

Nedorezov, Adam Jonathan. “Active Contour Motion Planning in the Inverse Perspective Mapping Frame.” 2016. Masters Thesis, Penn State University. Accessed December 12, 2019. https://etda.libraries.psu.edu/catalog/13364ajn5049.

MLA Handbook (7^th Edition):

Nedorezov, Adam Jonathan. “Active Contour Motion Planning in the Inverse Perspective Mapping Frame.” 2016. Web. 12 Dec 2019.

Vancouver:

Nedorezov AJ. Active Contour Motion Planning in the Inverse Perspective Mapping Frame. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2019 Dec 12]. Available from: https://etda.libraries.psu.edu/catalog/13364ajn5049.

Council of Science Editors:

Nedorezov AJ. Active Contour Motion Planning in the Inverse Perspective Mapping Frame. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/13364ajn5049

Penn State University

14. Park, Joonho Daniel. Steganographic sonar.

Degree: PhD, Electrical Engineering, 2016, Penn State University

URL: https://etda.libraries.psu.edu/catalog/13425jdp971

► Steganographic transmission waveforms are desirable for many underwater applications such as underwater acoustic communications, surveillance, detection, and tracking. In the context of active sonar tracking,… (more)

Subjects/Keywords: sonar; signal processing; tracking; steganography; information theory; detection; estimation; motion modeling; sound modeling; waveform design

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APA (6^th Edition):

Park, J. D. (2016). Steganographic sonar. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/13425jdp971

Chicago Manual of Style (16^th Edition):

Park, Joonho Daniel. “Steganographic sonar.” 2016. Doctoral Dissertation, Penn State University. Accessed December 12, 2019. https://etda.libraries.psu.edu/catalog/13425jdp971.

MLA Handbook (7^th Edition):

Park, Joonho Daniel. “Steganographic sonar.” 2016. Web. 12 Dec 2019.

Vancouver:

Park JD. Steganographic sonar. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2019 Dec 12]. Available from: https://etda.libraries.psu.edu/catalog/13425jdp971.

Council of Science Editors:

Park JD. Steganographic sonar. [Doctoral Dissertation]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/13425jdp971

NSYSU

15. Chen, Yan-Han. XY Table Motion Control by Using Cross Coupling Law.

Degree: Master, Electrical Engineering, 2016, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805116-180459

► The goal of this work is to improve the curves and graphs scheduled by conventional CNC machines. In high-resolution machining applications, enormous amount of interpolation… (more)

Subjects/Keywords: disturbance observer; cross-coupling control; motion control card; circular interpolation

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APA (6^th Edition):

Chen, Y. (2016). XY Table Motion Control by Using Cross Coupling Law. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805116-180459

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Yan-Han. “XY Table Motion Control by Using Cross Coupling Law.” 2016. Thesis, NSYSU. Accessed December 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805116-180459.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Yan-Han. “XY Table Motion Control by Using Cross Coupling Law.” 2016. Web. 12 Dec 2019.

Vancouver:

Chen Y. XY Table Motion Control by Using Cross Coupling Law. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Dec 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805116-180459.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen Y. XY Table Motion Control by Using Cross Coupling Law. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805116-180459

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

16. Sung, Chia-Lung. Suspended Transformer-based Micro Power Divider for Multi-input Multi-output System Applications.

Degree: Master, Electrical Engineering, 2016, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-092137

► Since the Internet of Things (IoT) and Internet of Vehicle (IoV) markets are increasing rapidly, the wireless communication system with farther transmission distance, higher data… (more)

▼ Since the Internet of Things (IoT) and Internet of Vehicle (IoV) markets are increasing rapidly, the wireless communication system with farther transmission distance, higher data rate and information accuracy are developed for matching the requirements of the multi-input multi-output (MIMO) techniques. However, there are similar passive and active devices with the same functions consume extra area in the MIMO receiver system. In order to improve the above drawback, this thesis designed and developed a multiplex power divider replaced two traditional power dividers utilizing the surface micromachining process, and diminish the dimensions of divider for the needs of wireless communications network products. To optimum the performances of power divider, this thesis uses the commercial software ANSYS HFSS and Agilent ADS to analyze and extract high-frequency characteristics. The main structures in this thesis including: (i) Employ two central tapped power divider to reduce the area; (ii) Utilize suspended structure to reduce the insertion loss caused by parasitic capacitance between device and substrate; (iii) Use epoxy negative resist (SU-8 5) as a MIM capacitor dielectric layer to enhance the returns. This power divider constructed of bottom electrode, supporting posts and top electrode. The main fabrication processes including six thin-film depositions, five graphic definitions of photolithography, three copper electroplating and four etching processes. The multiplex power divider with 2.4 GHz operating frequency and measured from 10 MHz to 5.0 GHz by network analyzer. There were two generations of the power divider in this thesis. Compare with the standard phase difference (180Â°), the first-generation exhibited 23.89Â° and -47.63Â°, whereas -3.14Â° and -4.14Â° in second-generation, which present well balanced output phase difference characteristics. The input return losses enhanced from -7.53 and -9.8 dB to -9.45 and -14.38 dB, which improved 46% with early. The initial generation showed the output return losses of -3.42ã-5.28ã-2.58 and -5.12 dB, and -10.29ã-11.22ã-9.62 and -11.21 dB in subsequent generation, all the output return loss characteristics improved above than 118%. Moreover, the insertion losses demonstrate -19.67 -17.58ã-16.89 and -14.25 dB in previous generation, and -12.98ã-9.39ã-10.67 and -9.17 dB in the later generation, which enhanced more than 34%. Advisors/Committee Members: Jin-Chern Chiou (chair), Yu-Cheng Lin (chair), I-YU Huang (committee member).

Subjects/Keywords: surface micromachining; NEMS; power divider; MIMO; copper electroplating fabrication processes

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APA (6^th Edition):

Sung, C. (2016). Suspended Transformer-based Micro Power Divider for Multi-input Multi-output System Applications. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-092137

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sung, Chia-Lung. “Suspended Transformer-based Micro Power Divider for Multi-input Multi-output System Applications.” 2016. Thesis, NSYSU. Accessed December 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-092137.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sung, Chia-Lung. “Suspended Transformer-based Micro Power Divider for Multi-input Multi-output System Applications.” 2016. Web. 12 Dec 2019.

Vancouver:

Sung C. Suspended Transformer-based Micro Power Divider for Multi-input Multi-output System Applications. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Dec 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-092137.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sung C. Suspended Transformer-based Micro Power Divider for Multi-input Multi-output System Applications. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731116-092137

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

17. Morgan, John Paul. Direct Bundle Adjustment of Video.

Degree: MS, Electrical Engineering, 2016, Penn State University

URL: https://etda.libraries.psu.edu/catalog/28861

► Given a set of 3D points seen by multiple cameras, bundle adjustment is the process of jointly optimizing the location of the 3D points and… (more)

Subjects/Keywords: Bundle adjustment; monocular simultaneous localization and mapping; structure from motion; direct image alignment

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APA (6^th Edition):

Morgan, J. P. (2016). Direct Bundle Adjustment of Video. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/28861

Chicago Manual of Style (16^th Edition):

Morgan, John Paul. “Direct Bundle Adjustment of Video.” 2016. Masters Thesis, Penn State University. Accessed December 12, 2019. https://etda.libraries.psu.edu/catalog/28861.

MLA Handbook (7^th Edition):

Morgan, John Paul. “Direct Bundle Adjustment of Video.” 2016. Web. 12 Dec 2019.

Vancouver:

Morgan JP. Direct Bundle Adjustment of Video. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2019 Dec 12]. Available from: https://etda.libraries.psu.edu/catalog/28861.

Council of Science Editors:

Morgan JP. Direct Bundle Adjustment of Video. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/28861

Wright State University

18. Kothandaraman, Kaamesh. Motion Planning and Control of Differential Drive Robot.

Degree: MSEgr, Electrical Engineering, 2016, Wright State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=wright1483909837910426

► Motion planning and control of a differential drive robot in a supervised environmentis presented in this thesis. Differential drive robot is a mobile robot with… (more)

Subjects/Keywords: Electrical Engineering; mobile robot; differential drive; robot; control; motion planning

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APA (6^th Edition):

Kothandaraman, K. (2016). Motion Planning and Control of Differential Drive Robot. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1483909837910426

Chicago Manual of Style (16^th Edition):

Kothandaraman, Kaamesh. “Motion Planning and Control of Differential Drive Robot.” 2016. Masters Thesis, Wright State University. Accessed December 12, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1483909837910426.

MLA Handbook (7^th Edition):

Kothandaraman, Kaamesh. “Motion Planning and Control of Differential Drive Robot.” 2016. Web. 12 Dec 2019.

Vancouver:

Kothandaraman K. Motion Planning and Control of Differential Drive Robot. [Internet] [Masters thesis]. Wright State University; 2016. [cited 2019 Dec 12]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1483909837910426.

Council of Science Editors:

Kothandaraman K. Motion Planning and Control of Differential Drive Robot. [Masters Thesis]. Wright State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1483909837910426

University of California – Santa Cruz

19. Kim, Chelhwon. Indoor Manhattan Spatial Layout Recovery from Monocular Videos.

Degree: Electrical Engineering, 2016, University of California – Santa Cruz

URL: http://www.escholarship.org/uc/item/692689jx

► Traditional Structure-from-Motion (SfM) is hard in indoor environments with only a few detectable point features. These environments, however, have other useful characteristics: they often contain… (more)

▼ Traditional Structure-from-Motion (SfM) is hard in indoor environments with only a few detectable point features. These environments, however, have other useful characteristics: they often contain severable visible lines, and their layout typically conforms to a Manhattan world geometry. In this thesis, I present a novel approach for structure and motion computation in a Manhattan layout from monocular videos. Unlike most SfM algorithms that rely on point feature matching, only line matches are considered in this work. This may be convenient in indoor environment characterized by extended textureless walls, where point features may be scarce. The proposed system relies on the notion of "characteristic lines", which are invariants of two views of the same parallel line pairs on a surface of known orientation. Finding coplanar sets of lines becomes a problem of clustering characteristic lines (CL), which can be accomplished using a modified mean shift procedure. The CL algorithm is fast and robust, and computationally light and produces good results in real world situations. The CL algorithm is extended to the case of multiple views for the analysis of videos from a monocular camera. I present a novel multi-view CL technique that looks for clusters of vectors formed by characteristic lines over multiple view pairs. This technique requires individual lines to be tracked across multiple views; an algorithm for reliable line matching between two frames leading to the formation of "line chains" across multiple frames is presented here. Cluster centers of multi-view characteristic lines represent estimates of the camera motion between any two views, normalized by the distance from a planar surface of the first camera location in the pair. This information is passed on to a modified "least unsquared deviations" (LUD) algorithm that computes the global camera motion. Finally, I introduce a new technique for planar fitting of the reconstructed lines that makes explicit use of the Manhattan world geometry.

Subjects/Keywords: Computer engineering; 3D reconstruction; Line feature; Manhattan Spatial Layout; Structure from motion; Visual Odometry

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APA (6^th Edition):

Kim, C. (2016). Indoor Manhattan Spatial Layout Recovery from Monocular Videos. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/692689jx

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kim, Chelhwon. “Indoor Manhattan Spatial Layout Recovery from Monocular Videos.” 2016. Thesis, University of California – Santa Cruz. Accessed December 12, 2019. http://www.escholarship.org/uc/item/692689jx.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kim, Chelhwon. “Indoor Manhattan Spatial Layout Recovery from Monocular Videos.” 2016. Web. 12 Dec 2019.

Vancouver:

Kim C. Indoor Manhattan Spatial Layout Recovery from Monocular Videos. [Internet] [Thesis]. University of California – Santa Cruz; 2016. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/692689jx.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim C. Indoor Manhattan Spatial Layout Recovery from Monocular Videos. [Thesis]. University of California – Santa Cruz; 2016. Available from: http://www.escholarship.org/uc/item/692689jx

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

UCLA

20. Wang, Yan Wang. Scalable Networked Human Daily Activity Profiling.

Degree: Electrical Engineering, 2016, UCLA

URL: http://www.escholarship.org/uc/item/9mx4t62s

► Human activity analysis is becoming increasingly important to enable preventative, diagnostic and rehabilitative measures in health and wellness applications. Wearable sensors are now taking a… (more)

▼ Human activity analysis is becoming increasingly important to enable preventative, diagnostic and rehabilitative measures in health and wellness applications. Wearable sensors are now taking a leading role in this area. However, daily activity profiling is still challenging due to a number of complications: 1) Method to quantify human activities are not precisely defined, especially in the domain of upper body activities. 2) Body joints have multiple degrees of freedom that are required to establish the flexibility of activity performance. Therefore, even if an agreement is achieved in activity recognition, performance of a specific activity can still present numerous variations for one person in different performance bouts; 3) Performance evaluation is also challenging without a complete set of training data since the difference between pathological movements and special personal behaviors may not be accurately classified by a general activity analysis system.Therefore, a new solution is provided to address the above three challenges. In this dissertation, a wearable sensor based location driven high-level activity classification and 3D human motion tracking system will be presented. This system consists of three sub-systems, location detection, activity classification and motion tracking. The location detection system determines the user’s location and gives this information to the activity classification system without reliance on any other localization instrumentation or infrastructure. In addition to being a fundamental advance, this adds an additional critical benefit, the location detection system also provides navigation functionality to the end users. The activity classification system classifies the general activities the end user is performing. Since the activity set is limited by a user’s location, the classification performance will be largely improved both in terms of accuracy and efficiency. The activity classification system also indicates the high-level activity classification result. On one hand, it can be used for compliance assessment to examine whether the user is following his prescribed exercise activity according to proper protocols. On the other hand, it enables an activity specific motion tracking protocol to be used in the motion tracking system resulting in reduced analytics computation demand. The motion tracking system supports reconstruction of motions for remote and post-event visualization as well as performance evaluation based on the idea of range of motions. In the dissertation, the algorithms at the foundation of each of the three subsystems will be described as well as complete system integration.

Subjects/Keywords: Electrical engineering; activity classification; indoor navigation; motion tracking; wearable sensors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, Y. W. (2016). Scalable Networked Human Daily Activity Profiling. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9mx4t62s

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Yan Wang. “Scalable Networked Human Daily Activity Profiling.” 2016. Thesis, UCLA. Accessed December 12, 2019. http://www.escholarship.org/uc/item/9mx4t62s.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Yan Wang. “Scalable Networked Human Daily Activity Profiling.” 2016. Web. 12 Dec 2019.

Vancouver:

Wang YW. Scalable Networked Human Daily Activity Profiling. [Internet] [Thesis]. UCLA; 2016. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/9mx4t62s.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang YW. Scalable Networked Human Daily Activity Profiling. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/9mx4t62s

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

21. Wun, Da-Cian. Ipsilateral Dual SIL-Radar System for Vital Sign Detection with Random Body Movement Cancellation.

Degree: Master, Electrical Engineering, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804115-114000

► This thesis studies a vital-sign detection system based on a dual self-injection-locked (SIL) radar to resolve the interference due to random body motion, which is… (more)

Subjects/Keywords: Doppler radar; self-injection-locked radar; random body motion cancellation; vital sign detection

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APA (6^th Edition):

Wun, D. (2015). Ipsilateral Dual SIL-Radar System for Vital Sign Detection with Random Body Movement Cancellation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804115-114000

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wun, Da-Cian. “Ipsilateral Dual SIL-Radar System for Vital Sign Detection with Random Body Movement Cancellation.” 2015. Thesis, NSYSU. Accessed December 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804115-114000.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wun, Da-Cian. “Ipsilateral Dual SIL-Radar System for Vital Sign Detection with Random Body Movement Cancellation.” 2015. Web. 12 Dec 2019.

Vancouver:

Wun D. Ipsilateral Dual SIL-Radar System for Vital Sign Detection with Random Body Movement Cancellation. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Dec 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804115-114000.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wun D. Ipsilateral Dual SIL-Radar System for Vital Sign Detection with Random Body Movement Cancellation. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804115-114000

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

22. Sung, Yu-hsien. Automated Reconstruction of 3D Object on Embedded System for Mobile Devices.

Degree: Master, Electrical Engineering, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605115-233300

► In this paper, a light-weight 3D object reconstruction system is proposed. It aims to fulfill the increasing demand for fast and reliable 3D reconstruction in… (more)

Subjects/Keywords: mobile device; computer vision; Structure from Motion (SfM); image calibration; 3D reconstruction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sung, Y. (2015). Automated Reconstruction of 3D Object on Embedded System for Mobile Devices. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605115-233300

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sung, Yu-hsien. “Automated Reconstruction of 3D Object on Embedded System for Mobile Devices.” 2015. Thesis, NSYSU. Accessed December 12, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605115-233300.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sung, Yu-hsien. “Automated Reconstruction of 3D Object on Embedded System for Mobile Devices.” 2015. Web. 12 Dec 2019.

Vancouver:

Sung Y. Automated Reconstruction of 3D Object on Embedded System for Mobile Devices. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Dec 12]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605115-233300.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sung Y. Automated Reconstruction of 3D Object on Embedded System for Mobile Devices. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0605115-233300

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

23. Bermperidis, Dimitrios. Online Censoring for Large-Scale Regressions and Dynamical Processes with Application to Big Data.

Degree: M.S.E.E., Electrical Engineering, 2015, University of Minnesota

URL: http://hdl.handle.net/11299/175484

► In an age of exponentially increasing data availability, performing inference tasks by utilizing the available information in its entirety is not always an affordable option.… (more)

Subjects/Keywords: censoring; computational complexity; dimensionality reduction; dynamical processes; linear regression; tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bermperidis, D. (2015). Online Censoring for Large-Scale Regressions and Dynamical Processes with Application to Big Data. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175484

Chicago Manual of Style (16^th Edition):

Bermperidis, Dimitrios. “Online Censoring for Large-Scale Regressions and Dynamical Processes with Application to Big Data.” 2015. Masters Thesis, University of Minnesota. Accessed December 12, 2019. http://hdl.handle.net/11299/175484.

MLA Handbook (7^th Edition):

Bermperidis, Dimitrios. “Online Censoring for Large-Scale Regressions and Dynamical Processes with Application to Big Data.” 2015. Web. 12 Dec 2019.

Vancouver:

Bermperidis D. Online Censoring for Large-Scale Regressions and Dynamical Processes with Application to Big Data. [Internet] [Masters thesis]. University of Minnesota; 2015. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11299/175484.

Council of Science Editors:

Bermperidis D. Online Censoring for Large-Scale Regressions and Dynamical Processes with Application to Big Data. [Masters Thesis]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175484

24. Nair, Binu Muraleedharan. Learning Latent Temporal Manifolds for Recognition and Prediction of Multiple Actions in Streaming Videos using Deep Networks.

Degree: PhD, Electrical Engineering, 2015, University of Dayton

URL: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429532297

► Recognizing multiple types of actions appearing in a continuous temporal order from a streaming video is the key to many possible applications ranging from real-time… (more)

▼ Recognizing multiple types of actions appearing in a continuous temporal order from a streaming video is the key to many possible applications ranging from real-time surveillance to egocentric motion for human computer interaction. Current state of the art algorithms are more focused either on holistic video representation or on finding a specific activity in video sequences. But the major drawback is that these algorithms work only on applications pertaining to unconstrained video search from the web and requires the complete sequence for reporting what kind of actions are present.In this dissertation, we propose an algorithm to detect and recognize multiple actions in a streaming sequence at every instant. This approach was successful in recognizing the type of action being performed and also provides a percentage of completion of that action at every instant in real-time. This system is invariant to the number of frames and the speed at which the action is being performed. Apart from these benefits, the proposed model can also predict the motion descriptors at future instances corresponding to the action present. Since human motion is inherently continuous in nature, the algorithm presented in this dissertation computes novel motion descriptors based on the dense optical flow at every instant and evaluates their variations along the temporal domain using deep learning techniques.For each action type, we compute a non-linear transformation from motion descriptor space into the latent temporal space using stacked autoencoders where this transformation is learned from its training patterns. The latent features thus obtained, forms a temporal manifold where the transitions along it are modeled using the Conditional Restricted Boltzmann Machines (CRBMs). Using these trained autoencoders and CRBMs for every action type, we can make an inference into multiple latent temporal action manifolds at an instant from a set of streaming input frames. Our model achieved a high accuracy of 93% in recognizing actions per frame and was able to predict the future action instances with an accuracy of 84% for KTH dataset. Similarly, it was also tested with the UCF Sports dataset and achieved an accuracy of 84% in recognizing the action per-frame and around 69% of predictive capability. Therefore we believe that the proposed model can benefit applications in human computer interaction, gaming and IP surveillance where the action classification using temporal manifolds and its predictive capability are crucial. Advisors/Committee Members: Asari, Vijayan (Committee Chair).

Subjects/Keywords: Computer Engineering; Computer Science; Electrical Engineering; Statistics; motion descriptors, shape descriptors, principal component analysis, neural networks, autoencoder, restricted Boltzmann machine, conditional restricted Boltzmann machine, deep learning, action recognition, latent temporal manifold, action localization

…Early Methods in Human Action, Gesture, and Activity Recognition . . 2.1.1 Motion Capture… …Fields/Trajectories . . . . . . . . . . . . . . . 2.1.2 3D Shape and Motion Descriptors… …2] . . . . . Estimation of Dense Motion Flow Field . . . . . . . . . . . Computation… …of Feature Descriptors . . . . . . . . . . . . . 3.3.1 Motion Descriptors- Histogram of… …25 Extracting histogram of flow and local binary flow patterns from masked motion regions…

11 more images…

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APA (6^th Edition):

Nair, B. M. (2015). Learning Latent Temporal Manifolds for Recognition and Prediction of Multiple Actions in Streaming Videos using Deep Networks. (Doctoral Dissertation). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429532297

Chicago Manual of Style (16^th Edition):

Nair, Binu Muraleedharan. “Learning Latent Temporal Manifolds for Recognition and Prediction of Multiple Actions in Streaming Videos using Deep Networks.” 2015. Doctoral Dissertation, University of Dayton. Accessed December 12, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429532297.

MLA Handbook (7^th Edition):

Nair, Binu Muraleedharan. “Learning Latent Temporal Manifolds for Recognition and Prediction of Multiple Actions in Streaming Videos using Deep Networks.” 2015. Web. 12 Dec 2019.

Vancouver:

Nair BM. Learning Latent Temporal Manifolds for Recognition and Prediction of Multiple Actions in Streaming Videos using Deep Networks. [Internet] [Doctoral dissertation]. University of Dayton; 2015. [cited 2019 Dec 12]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429532297.

Council of Science Editors:

Nair BM. Learning Latent Temporal Manifolds for Recognition and Prediction of Multiple Actions in Streaming Videos using Deep Networks. [Doctoral Dissertation]. University of Dayton; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429532297

University of Minnesota

25. Zheng, Fei. A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound.

Degree: PhD, Electrical Engineering, 2015, University of Minnesota

URL: http://hdl.handle.net/11299/175388

► Displacement estimation in ultrasound is a common yet important task for various applications, including tissue/blood motion estimation, elastography imaging, temperature estimation, and shear wave elasticity… (more)

▼ Displacement estimation in ultrasound is a common yet important task for various applications, including tissue/blood motion estimation, elastography imaging, temperature estimation, and shear wave elasticity imaging. A variety of speckle tracking methods have been proposed for displacement estimation using pulse-echo ultrasound. The performance of these estimators, in terms of bias and variance, could greatly impact the reliability of the imaging markers derived from the initial displacement estimate. Therefore, a comparison between these methods in a variety of imaging scenarios is highly significant. In addition to considering several published displacement estimation methods, this theses introduces a new estimator based on the complex two-dimensional (2D) cross correlation. The approach builds on the 1D complex cross correlation which results from the analytic nature of pulse-echo ultrasound data in medical imaging applications. It is well established that the use of complex cross correlation in 1D displacement tracking allows for sub-sample displacement estimation without the need for interpolation. The complex cross correlation is obtained from the Hilbert transform of the echo data and the sub-sample displacement estimate is obtained by using the zero crossing of the phase in the vicinity of the peak in the correlation amplitude. Recently, this property was extended to 2D by exploiting the coupling between the axial and lateral displacements in the phase of the 2D cross correlation of the analytic ultrasound echo data from multiple A-lines. It was theoretically shown that the maximum magnitude of complex correlation still lies on the zero phase line. The so-called ``Phase-coupled 2D speckle tracking (PCST) algorithm" was the first to extend the analytic nature of ultrasound data to two dimensions. However, this algorithm applies geometric methods to finding the sub-sample displacements, which may hinder its efficient real-time implementation. The main contribution of this thesis is the introduction of a new displacement estimator with sub-sample accuracy in both axial and lateral dimensions. A two-dimensional (2D) zero phase crossing method is derived based on two 2D complex normalized cross correlations (NCCs), i.e., displacement can be estimated by the intersection point of two zero phase lines, one from Hilbert transformation in the axial direction and the other one from Hilbert transformation in the lateral direction. Unlike the 2D PCST, the proposed algorithm lends itself to efficient implementation. Furthermore, comparison of simulation results from flow experiments suggests that the new algorithm produces more accurate estimation in terms of variance. The proposed algorithm was compared with the 2D PCST and other displacement estimators proposed by other groups. In particular, we have compared the performance with algorithms based on parabolic and cosine fitting of the 2D correlation of raw 2D radiofrequency (RF) data. In addition to the validation studies based on simulation, experimental validation…

Subjects/Keywords: motion tracking; speckle tracking; ultrasound imaging; zero phase crossing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zheng, F. (2015). A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175388

Chicago Manual of Style (16^th Edition):

Zheng, Fei. “A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound.” 2015. Doctoral Dissertation, University of Minnesota. Accessed December 12, 2019. http://hdl.handle.net/11299/175388.

MLA Handbook (7^th Edition):

Zheng, Fei. “A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound.” 2015. Web. 12 Dec 2019.

Vancouver:

Zheng F. A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11299/175388.

Council of Science Editors:

Zheng F. A Two Dimensional Speckle Tracking Method Based on Zero Phase Crossing in Ultrasound. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175388

26. Chitaliya, Nehal Gitesh. Object identification and estimation of object motion parameters from image sequences for machine intelligence application; -.

Degree: Electrical Engineering, 2012, Maharaja Sayajirao University of Baroda

URL: http://shodhganga.inflibnet.ac.in/handle/10603/34719

Available

Bibliography p.140-150

Advisors/Committee Members: Trivedi, A I.

Subjects/Keywords: estimation; motion parameters; ntelligence application; Object identification

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APA (6^th Edition):

Chitaliya, N. G. (2012). Object identification and estimation of object motion parameters from image sequences for machine intelligence application; -. (Thesis). Maharaja Sayajirao University of Baroda. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/34719

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chitaliya, Nehal Gitesh. “Object identification and estimation of object motion parameters from image sequences for machine intelligence application; -.” 2012. Thesis, Maharaja Sayajirao University of Baroda. Accessed December 12, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/34719.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chitaliya, Nehal Gitesh. “Object identification and estimation of object motion parameters from image sequences for machine intelligence application; -.” 2012. Web. 12 Dec 2019.

Vancouver:

Chitaliya NG. Object identification and estimation of object motion parameters from image sequences for machine intelligence application; -. [Internet] [Thesis]. Maharaja Sayajirao University of Baroda; 2012. [cited 2019 Dec 12]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/34719.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chitaliya NG. Object identification and estimation of object motion parameters from image sequences for machine intelligence application; -. [Thesis]. Maharaja Sayajirao University of Baroda; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/34719

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Vermont

27. Ghanavati, Goodarz. Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment.

Degree: PhD, Electrical Engineering, 2015, University of Vermont

URL: https://scholarworks.uvm.edu/graddis/333

► The motivation for this research is to leverage the increasing deployment of the phasor measurement unit (PMU) technology by electric utilities in order to… (more)

▼ The motivation for this research is to leverage the increasing deployment of the phasor measurement unit (PMU) technology by electric utilities in order to improve situational awareness in power systems. PMUs provide unprecedentedly fast and synchronized voltage and current measurements across the system. Analyzing the big data provided by PMUs may prove helpful in reducing the risk of blackouts, such as the Northeast blackout in August 2003, which have resulted in huge costs in past decades. In order to provide deeper insight into early warning signs (EWS) of catastrophic events in power systems, this dissertation studies changes in statistical properties of high-resolution measurements as a power system approaches a critical transition. The EWS under study are increases in variance and autocorrelation of state variables, which are generic signs of a phenomenon known as critical slowing down (CSD). Critical slowing down is the result of slower recovery of a dynamical system from perturbations when the system approaches a critical transition. CSD has been observed in many stochastic nonlinear dynamical systems such as ecosystem, human body and power system. Although CSD signs can be useful as indicators of proximity to critical transitions, their characteristics vary for different systems and different variables within a system. The dissertation provides evidence for the occurrence of CSD in power systems using a comprehensive analytical and numerical study of this phenomenon in several power system test cases. Together, the results show that it is possible extract information regarding not only the proximity of a power system to critical transitions but also the location of the stress in the system from autocorrelation and variance of measurements. Also, a semi-analytical method for fast computation of expected variance and autocorrelation of state variables in large power systems is presented, which allows one to quickly identify locations and variables that are reliable indicators of proximity to instability. Advisors/Committee Members: Paul D. Hines, Taras I. Lakoba.

Subjects/Keywords: Autocorrelation function; Critical slowing down; Phasor measurement unit; Power system stability; Stochastic differential equations; Stochastic processes; Electrical and Electronics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ghanavati, G. (2015). Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/333

Chicago Manual of Style (16^th Edition):

Ghanavati, Goodarz. “Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment.” 2015. Doctoral Dissertation, University of Vermont. Accessed December 12, 2019. https://scholarworks.uvm.edu/graddis/333.

MLA Handbook (7^th Edition):

Ghanavati, Goodarz. “Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment.” 2015. Web. 12 Dec 2019.

Vancouver:

Ghanavati G. Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment. [Internet] [Doctoral dissertation]. University of Vermont; 2015. [cited 2019 Dec 12]. Available from: https://scholarworks.uvm.edu/graddis/333.

Council of Science Editors:

Ghanavati G. Statistical Analysis of High Sample Rate Time-series Data for Power System Stability Assessment. [Doctoral Dissertation]. University of Vermont; 2015. Available from: https://scholarworks.uvm.edu/graddis/333

University of Dayton

28. Zhang, Yi. Blur Image Processing.

Degree: PhD, Electrical Engineering, 2015, University of Dayton

URL: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360

► Image blur stems from camera sensor pixel recording light from multiple sources. There are three causes of blur: object motion, optical defocus and camera shake.… (more)

Subjects/Keywords: Electrical Engineering; Image blind deblurring, Noisy and blurry image, Bayesian statistics, double discrete wavelet transform, deblur with IMU, Motion estimation, Spatially varying blur

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhang, Y. (2015). Blur Image Processing. (Doctoral Dissertation). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360

Chicago Manual of Style (16^th Edition):

Zhang, Yi. “Blur Image Processing.” 2015. Doctoral Dissertation, University of Dayton. Accessed December 12, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360.

MLA Handbook (7^th Edition):

Zhang, Yi. “Blur Image Processing.” 2015. Web. 12 Dec 2019.

Vancouver:

Zhang Y. Blur Image Processing. [Internet] [Doctoral dissertation]. University of Dayton; 2015. [cited 2019 Dec 12]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360.

Council of Science Editors:

Zhang Y. Blur Image Processing. [Doctoral Dissertation]. University of Dayton; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360

UCLA

29. Xu, James Yan. Personalized, Quantifiable, Multi-Layered Daily Life Profiling for Wireless Health: Methodologies and Systems.

Degree: Electrical Engineering, 2015, UCLA

URL: http://www.escholarship.org/uc/item/4zb6s356

► Profiling the daily activity of a patient in-community is one of the solutions to the world's ballooning healthcare costs and an aging treatment system that… (more)

▼ Profiling the daily activity of a patient in-community is one of the solutions to the world's ballooning healthcare costs and an aging treatment system that is limited by access to care, the inability to monitor home-based practice to provide feedback and the lack of measurement tools that reveal progress. Research thus far has been focused on small scale activity classification that does not address the real challenges: 1) deployment to large and diverse user communities leads to degraded classifier performance due to large activity models; 2) lack of personalization and the inability to train persons involved to use complex systems; 3) activity classification alone cannot deliver the information required by caregivers to scrutinize the skillfulness of movements, determine the progression of recovery and evaluate the patient's overall quality of life.Using wearable inertial sensors, the research in this dissertation provides methods and architectures required for an easy to deploy, low cost end-to-end system that is capable of providing clinically relevant, personalized daily activity profile at multiple levels of granularity: 1) at the highest level, information on the location a person was able to visit; 2) within each location, information about the activities a patient was able to perform; 3) at the lowest level, motion trajectory of each activity with visualization and metrics. These allow physicians to assess and provide feedback on a patient's ability to socialize, their level of exercise tolerance and their compliance to prescription. First, we focused on improving the state of the art in activity classification by introducing a multimodal, hierarchical activity classification toolkit that is less susceptible to performance degradation with large models. Second, we proposed a context-driven, personalized, targeted activity monitoring methodology. Through the definition of context and scenarios, this approach provides personalization, context information and activity to caregivers and further enhances the performance of a traditional activity classifier in terms of speed, accuracy and sensor energy usage. Through multiple iterations, the final system features novel automatic context identification using energy efficient, WIFI augmented GPS. We also developed a prescription model that enables caregivers to prescribe sensors, smartphone and monitoring plan to an out-patient along with the rehabilitation treatment.Third, we developed novel methodologies and implementations required to perform motion tracking and metrics computation for both generic upper and lower body motions and exercise specific motions. The methods developed make use of in-depth biomechanical knowledge and are robust to pathological movement patterns and can provide visualization using a global reference frame without user interaction.Finally, we presented an end-to-end system architecture that synergizes the various components to provide the multi-tiered daily report required. Verification and evaluation of individual component demonstrate…

Subjects/Keywords: Electrical engineering; Bioinformatics; Activity Monitoring; Classification; Context Driven; Mobile Health; Motion Reconstruction; Wireless Health

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APA (6^th Edition):

Xu, J. Y. (2015). Personalized, Quantifiable, Multi-Layered Daily Life Profiling for Wireless Health: Methodologies and Systems. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4zb6s356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xu, James Yan. “Personalized, Quantifiable, Multi-Layered Daily Life Profiling for Wireless Health: Methodologies and Systems.” 2015. Thesis, UCLA. Accessed December 12, 2019. http://www.escholarship.org/uc/item/4zb6s356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xu, James Yan. “Personalized, Quantifiable, Multi-Layered Daily Life Profiling for Wireless Health: Methodologies and Systems.” 2015. Web. 12 Dec 2019.

Vancouver:

Xu JY. Personalized, Quantifiable, Multi-Layered Daily Life Profiling for Wireless Health: Methodologies and Systems. [Internet] [Thesis]. UCLA; 2015. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/4zb6s356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu JY. Personalized, Quantifiable, Multi-Layered Daily Life Profiling for Wireless Health: Methodologies and Systems. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/4zb6s356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of California – Santa Cruz

30. Duttaroy, Anik. Electro-Optical System For Anti-Brownian Electrokinetic (ABEL) Trapping In An Optofluidic Waveguide.

Degree: Electrical Engineering, 2015, University of California – Santa Cruz

URL: http://www.escholarship.org/uc/item/6dj3k63v

► Brownian motion presents a challenge to studying single bio-particles in a fluid. Traditionally, single bio-particles are trapped using optical traps, but the high optical powers… (more)

Subjects/Keywords: Electrical engineering; ABEL; Anti-Brownian Electrokinetic Trap; optofluidic waveguide; single particle trap

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Duttaroy, A. (2015). Electro-Optical System For Anti-Brownian Electrokinetic (ABEL) Trapping In An Optofluidic Waveguide. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/6dj3k63v

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Duttaroy, Anik. “Electro-Optical System For Anti-Brownian Electrokinetic (ABEL) Trapping In An Optofluidic Waveguide.” 2015. Thesis, University of California – Santa Cruz. Accessed December 12, 2019. http://www.escholarship.org/uc/item/6dj3k63v.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Duttaroy, Anik. “Electro-Optical System For Anti-Brownian Electrokinetic (ABEL) Trapping In An Optofluidic Waveguide.” 2015. Web. 12 Dec 2019.

Vancouver:

Duttaroy A. Electro-Optical System For Anti-Brownian Electrokinetic (ABEL) Trapping In An Optofluidic Waveguide. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/6dj3k63v.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Duttaroy A. Electro-Optical System For Anti-Brownian Electrokinetic (ABEL) Trapping In An Optofluidic Waveguide. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/6dj3k63v

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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