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You searched for +publisher:"University of Southern Mississippi" +contributor:("Dia Ali"). Showing records 1 – 3 of 3 total matches.

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University of Southern Mississippi

1. Sylva Prado, Felipe Vicente. Model Predictive Control for Temperature Dependent Systems.

Degree: MS, Computing, 2014, University of Southern Mississippi

Manipulating and monitoring the variables of temperature dependent systems can be a very complex task for most industrial facilities since they require either the close attention of experienced engineers or highly expensive control programs. These systems are often poorly operated, which increases the cost of production and affects the overall performance of the process. This paper aims at proposing a solution to this problem using adaptable Model Predictive Control (MPC) algorithms for temperature dependent systems and computational methods to optimize their performance, while maintaining a stable temperature within the process. This research investigates and evaluates MPC and compares its performance to manual procedures for controlling temperature dependent systems. The method being investigated approximates future output process values like chemical concentrations in order to determine accurate set point changes to input variables that keep them at their desired targets. In addition, the algorithms in this program match predetermined temperature patterns that indicate if the input variables of the system are correctly balanced for operating at the desired production rate. Balance is achieved by using PID closed-loop control procedures on the output variables, as well as data storage algorithms to help reduce the error of future set point computation. Advisors/Committee Members: Dia Ali, Amer Dawoud, Beddhu Murali.

Subjects/Keywords: predictive; control; industrial; engineering; steady; state

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APA (6th Edition):

Sylva Prado, F. V. (2014). Model Predictive Control for Temperature Dependent Systems. (Masters Thesis). University of Southern Mississippi. Retrieved from https://aquila.usm.edu/masters_theses/20

Chicago Manual of Style (16th Edition):

Sylva Prado, Felipe Vicente. “Model Predictive Control for Temperature Dependent Systems.” 2014. Masters Thesis, University of Southern Mississippi. Accessed March 24, 2019. https://aquila.usm.edu/masters_theses/20.

MLA Handbook (7th Edition):

Sylva Prado, Felipe Vicente. “Model Predictive Control for Temperature Dependent Systems.” 2014. Web. 24 Mar 2019.

Vancouver:

Sylva Prado FV. Model Predictive Control for Temperature Dependent Systems. [Internet] [Masters thesis]. University of Southern Mississippi; 2014. [cited 2019 Mar 24]. Available from: https://aquila.usm.edu/masters_theses/20.

Council of Science Editors:

Sylva Prado FV. Model Predictive Control for Temperature Dependent Systems. [Masters Thesis]. University of Southern Mississippi; 2014. Available from: https://aquila.usm.edu/masters_theses/20

2. Chittireddy, Madhavi. Reinforcement Learning of Distributed Surveillance Plans.

Degree: MS, Computing, 2014, University of Southern Mississippi

This thesis describes the design and implementation of a Reinforcement Learning algorithm on a camera surveillance model which is used to know the stackelberg strategies of attacker and defender. This reinforcement learning algorithm is compared with the uniform policy and hill climbing algorithms by executing them on a common set of different data files, generated programmatically with various combinations of problem size, location, and orientation transitions as well as rewards of attacker and defender. The comparison includes the time taken to obtain better stackelberg policy and the resulted final pay-off of the defender. This thesis shows that the reinforcement learning algorithm developed in Java performs better than the uniform policy and proves to be chosen for large problem size as it produces acceptable results in less time when compared to that of the hill climbing algorithm. Advisors/Committee Members: Bikramjit Banerjee, Beddhu Murali, Dia Ali.

Subjects/Keywords: reinforcement learning; stackleberg games; multiagent; attacker and defender; randomized strategies; AMPL; Artificial Intelligence and Robotics

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APA (6th Edition):

Chittireddy, M. (2014). Reinforcement Learning of Distributed Surveillance Plans. (Masters Thesis). University of Southern Mississippi. Retrieved from https://aquila.usm.edu/masters_theses/75

Chicago Manual of Style (16th Edition):

Chittireddy, Madhavi. “Reinforcement Learning of Distributed Surveillance Plans.” 2014. Masters Thesis, University of Southern Mississippi. Accessed March 24, 2019. https://aquila.usm.edu/masters_theses/75.

MLA Handbook (7th Edition):

Chittireddy, Madhavi. “Reinforcement Learning of Distributed Surveillance Plans.” 2014. Web. 24 Mar 2019.

Vancouver:

Chittireddy M. Reinforcement Learning of Distributed Surveillance Plans. [Internet] [Masters thesis]. University of Southern Mississippi; 2014. [cited 2019 Mar 24]. Available from: https://aquila.usm.edu/masters_theses/75.

Council of Science Editors:

Chittireddy M. Reinforcement Learning of Distributed Surveillance Plans. [Masters Thesis]. University of Southern Mississippi; 2014. Available from: https://aquila.usm.edu/masters_theses/75

3. Sengupta, Partha P. A Platform for Fast Detection of Let-7 Micro RNA Using Polyaniline Fluorescence and Image Analysis Techniques.

Degree: MS, Computing, 2015, University of Southern Mississippi

The project describes a new strategy for transducing hybridization events through modulating intrinsic properties of the electroconductive polymer polyaniline (PANI). When DNA based probes electrostatically interact with PANI, its fluorescence properties are increased, a phenomenon that can be enhanced by UV irradiation. Hybridization of target nucleic acids results in dissociation of probes causing PANI fluorescence to return to basal levels. By monitoring restoration of base PANI fluorescence as little as 10-11 M (10 pM) of target oligonucleotides could be detected within 15 minutes of hybridization. Detection of complementary oligos was specific, with introduction of a single mismatch failing to form a target-probe duplex that would dissociate from PANI. Furthermore, this approach is robust and is capable of detecting specific RNAs in extracts from animals. This sensor system improves on previously reported strategies by transducing highly specific probe dissociation events through intrinsic properties of a conducting polymer without the need for additional labels. The change in fluorescence property of PANI by oligo immobilization and hybridization with mimic let-7 is measured by fluorescence microscope and the image analyzed by MATLAB. A heuristic algorithm determines color threshold of the fluorescent active image. This image segmentation helps to determine the average pixel intensity representing the active image foreground of PANI fluorescence triggered by DNA immobilization and hybridization process. This would help us to quantify response of PANI based biosensor for detecting micro RNA let-7. Advisors/Committee Members: Beddhu Murali, Dia Ali, Alex S. Flynt.

Subjects/Keywords: micro RNA; Polyaniline; electrostatic interaction; fluorescence; UV irradiation; intrinsic property; Biology and Biomimetic Materials; Computer Engineering; Genetics and Genomics; Polymer and Organic Materials; Semiconductor and Optical Materials

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

APA (6th Edition):

Sengupta, P. P. (2015). A Platform for Fast Detection of Let-7 Micro RNA Using Polyaniline Fluorescence and Image Analysis Techniques. (Masters Thesis). University of Southern Mississippi. Retrieved from https://aquila.usm.edu/masters_theses/150

Chicago Manual of Style (16th Edition):

Sengupta, Partha P. “A Platform for Fast Detection of Let-7 Micro RNA Using Polyaniline Fluorescence and Image Analysis Techniques.” 2015. Masters Thesis, University of Southern Mississippi. Accessed March 24, 2019. https://aquila.usm.edu/masters_theses/150.

MLA Handbook (7th Edition):

Sengupta, Partha P. “A Platform for Fast Detection of Let-7 Micro RNA Using Polyaniline Fluorescence and Image Analysis Techniques.” 2015. Web. 24 Mar 2019.

Vancouver:

Sengupta PP. A Platform for Fast Detection of Let-7 Micro RNA Using Polyaniline Fluorescence and Image Analysis Techniques. [Internet] [Masters thesis]. University of Southern Mississippi; 2015. [cited 2019 Mar 24]. Available from: https://aquila.usm.edu/masters_theses/150.

Council of Science Editors:

Sengupta PP. A Platform for Fast Detection of Let-7 Micro RNA Using Polyaniline Fluorescence and Image Analysis Techniques. [Masters Thesis]. University of Southern Mississippi; 2015. Available from: https://aquila.usm.edu/masters_theses/150

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