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You searched for +publisher:"Texas State University – San Marcos" +contributor:("Aslan, Semih"). Showing records 1 – 11 of 11 total matches.

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Texas State University – San Marcos

1. Thanda Setty, Vidya. Speaker Recognition using Deep Neural Networks with reduced Complexity.

Degree: MS, Engineering, 2018, Texas State University – San Marcos

 The goal of this research is to develop a small footprint text-independent speaker recognition system for a closed set of a relatively small number of… (more)

Subjects/Keywords: Speaker recognition; Deep Neural Network; High performance computing; Neural networks (Computer science)

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APA (6th Edition):

Thanda Setty, V. (2018). Speaker Recognition using Deep Neural Networks with reduced Complexity. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7869

Chicago Manual of Style (16th Edition):

Thanda Setty, Vidya. “Speaker Recognition using Deep Neural Networks with reduced Complexity.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/7869.

MLA Handbook (7th Edition):

Thanda Setty, Vidya. “Speaker Recognition using Deep Neural Networks with reduced Complexity.” 2018. Web. 22 Sep 2019.

Vancouver:

Thanda Setty V. Speaker Recognition using Deep Neural Networks with reduced Complexity. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/7869.

Council of Science Editors:

Thanda Setty V. Speaker Recognition using Deep Neural Networks with reduced Complexity. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7869


Texas State University – San Marcos

2. Bashit, Abdullah Al. A Comprehensive Solar Powered Remote Monitoring and Identification of Houston Toad Call Automatic Recognizing Device System Design.

Degree: MS, Engineering, 2019, Texas State University – San Marcos

 The Houston Toad is an endangered amphibian living in the edge of extinction. To save from annihilation, localization of their mating calls needs to be… (more)

Subjects/Keywords: Animal voice detection; Machine learning; Signal processing

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APA (6th Edition):

Bashit, A. A. (2019). A Comprehensive Solar Powered Remote Monitoring and Identification of Houston Toad Call Automatic Recognizing Device System Design. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8384

Chicago Manual of Style (16th Edition):

Bashit, Abdullah Al. “A Comprehensive Solar Powered Remote Monitoring and Identification of Houston Toad Call Automatic Recognizing Device System Design.” 2019. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/8384.

MLA Handbook (7th Edition):

Bashit, Abdullah Al. “A Comprehensive Solar Powered Remote Monitoring and Identification of Houston Toad Call Automatic Recognizing Device System Design.” 2019. Web. 22 Sep 2019.

Vancouver:

Bashit AA. A Comprehensive Solar Powered Remote Monitoring and Identification of Houston Toad Call Automatic Recognizing Device System Design. [Internet] [Masters thesis]. Texas State University – San Marcos; 2019. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/8384.

Council of Science Editors:

Bashit AA. A Comprehensive Solar Powered Remote Monitoring and Identification of Houston Toad Call Automatic Recognizing Device System Design. [Masters Thesis]. Texas State University – San Marcos; 2019. Available from: https://digital.library.txstate.edu/handle/10877/8384


Texas State University – San Marcos

3. Ranganathapura Chandrai G, Karuna. Hardware Accelerator for Elias Gamma Code.

Degree: MS, Engineering, 2017, Texas State University – San Marcos

 Elias Gamma code, developed by Peter Elias, is a universal lossless compression method applied to unbounded positive integers. Extensive research on this coding technique has… (more)

Subjects/Keywords: Hardware accelerator; Elias Gamma; Compression; Decompression; Packing; Unpacking; FPGA; ASIC

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APA (6th Edition):

Ranganathapura Chandrai G, K. (2017). Hardware Accelerator for Elias Gamma Code. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8508

Chicago Manual of Style (16th Edition):

Ranganathapura Chandrai G, Karuna. “Hardware Accelerator for Elias Gamma Code.” 2017. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/8508.

MLA Handbook (7th Edition):

Ranganathapura Chandrai G, Karuna. “Hardware Accelerator for Elias Gamma Code.” 2017. Web. 22 Sep 2019.

Vancouver:

Ranganathapura Chandrai G K. Hardware Accelerator for Elias Gamma Code. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/8508.

Council of Science Editors:

Ranganathapura Chandrai G K. Hardware Accelerator for Elias Gamma Code. [Masters Thesis]. Texas State University – San Marcos; 2017. Available from: https://digital.library.txstate.edu/handle/10877/8508


Texas State University – San Marcos

4. Ekram, Mohammad Azim Ul. Measurement of Control parameters for Omnidirectional Treadmills using RGBD camera.

Degree: MS, Engineering, 2017, Texas State University – San Marcos

 Omnidirectional treadmill systems are an effective platform that allows unconstrained locomotion possibilities to a user for effective VR exploration. There are two most common problems… (more)

Subjects/Keywords: Omnidirectional treadmill; Depth camera; Kinect; Geometric calculation; Virtual environment interface; RGBD; VR; Virtual reality; Image processing; Computer vision

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APA (6th Edition):

Ekram, M. A. U. (2017). Measurement of Control parameters for Omnidirectional Treadmills using RGBD camera. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7722

Chicago Manual of Style (16th Edition):

Ekram, Mohammad Azim Ul. “Measurement of Control parameters for Omnidirectional Treadmills using RGBD camera.” 2017. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/7722.

MLA Handbook (7th Edition):

Ekram, Mohammad Azim Ul. “Measurement of Control parameters for Omnidirectional Treadmills using RGBD camera.” 2017. Web. 22 Sep 2019.

Vancouver:

Ekram MAU. Measurement of Control parameters for Omnidirectional Treadmills using RGBD camera. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/7722.

Council of Science Editors:

Ekram MAU. Measurement of Control parameters for Omnidirectional Treadmills using RGBD camera. [Masters Thesis]. Texas State University – San Marcos; 2017. Available from: https://digital.library.txstate.edu/handle/10877/7722


Texas State University – San Marcos

5. Sugumar Sunthar Jesudian, Jeschel Jabez. An Integration of IoT and Mixed Reality Using Fog Computing Concepts.

Degree: MS, Engineering, 2018, Texas State University – San Marcos

 Internet of Things (IoT) applications require low latency for maintaining a steady, close to real-time environment. Latency sensitive IoT applications include monitoring, collecting sensor data,… (more)

Subjects/Keywords: Internet of Things; IoT; IoT Server; Mixed Reality; Microsoft HoloLens.; Augmented reality; Internet of things; Cloud computing

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APA (6th Edition):

Sugumar Sunthar Jesudian, J. J. (2018). An Integration of IoT and Mixed Reality Using Fog Computing Concepts. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7878

Chicago Manual of Style (16th Edition):

Sugumar Sunthar Jesudian, Jeschel Jabez. “An Integration of IoT and Mixed Reality Using Fog Computing Concepts.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/7878.

MLA Handbook (7th Edition):

Sugumar Sunthar Jesudian, Jeschel Jabez. “An Integration of IoT and Mixed Reality Using Fog Computing Concepts.” 2018. Web. 22 Sep 2019.

Vancouver:

Sugumar Sunthar Jesudian JJ. An Integration of IoT and Mixed Reality Using Fog Computing Concepts. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/7878.

Council of Science Editors:

Sugumar Sunthar Jesudian JJ. An Integration of IoT and Mixed Reality Using Fog Computing Concepts. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7878


Texas State University – San Marcos

6. Radhakrishna, Chaithra. IOT Based Network Management Portal for Augmented Reality Applications.

Degree: MS, Engineering, 2018, Texas State University – San Marcos

 Internet of Things (IoT) along with the evolution of Wireless sensor networks and Augmented Reality technologies has opened many avenues in multiple real-world scenarios that… (more)

Subjects/Keywords: Network management; Portals; Augmented reality; Link Quality Indicator; Internet of things; Augmented reality

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APA (6th Edition):

Radhakrishna, C. (2018). IOT Based Network Management Portal for Augmented Reality Applications. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7877

Chicago Manual of Style (16th Edition):

Radhakrishna, Chaithra. “IOT Based Network Management Portal for Augmented Reality Applications.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/7877.

MLA Handbook (7th Edition):

Radhakrishna, Chaithra. “IOT Based Network Management Portal for Augmented Reality Applications.” 2018. Web. 22 Sep 2019.

Vancouver:

Radhakrishna C. IOT Based Network Management Portal for Augmented Reality Applications. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/7877.

Council of Science Editors:

Radhakrishna C. IOT Based Network Management Portal for Augmented Reality Applications. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7877


Texas State University – San Marcos

7. Dehghanian, Pooria. Quantifying Power System Resilience Improvement Through Network Reconfiguration In Cases Of Extreme Emergencies.

Degree: MS, Engineering, 2017, Texas State University – San Marcos

 Electricity grid complexity together with a diversity of critical infrastructures (CIs), such as generating units, transportation network, etc., are increasingly evolving into a complicated network… (more)

Subjects/Keywords: Power System; Resilience; Electricity Loss; Emergency; Grid Reconfiguration; Decision Making; Public utilities – Protection; Electric power distribution – Security measures; Electric power systems – Security measures

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APA (6th Edition):

Dehghanian, P. (2017). Quantifying Power System Resilience Improvement Through Network Reconfiguration In Cases Of Extreme Emergencies. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6780

Chicago Manual of Style (16th Edition):

Dehghanian, Pooria. “Quantifying Power System Resilience Improvement Through Network Reconfiguration In Cases Of Extreme Emergencies.” 2017. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/6780.

MLA Handbook (7th Edition):

Dehghanian, Pooria. “Quantifying Power System Resilience Improvement Through Network Reconfiguration In Cases Of Extreme Emergencies.” 2017. Web. 22 Sep 2019.

Vancouver:

Dehghanian P. Quantifying Power System Resilience Improvement Through Network Reconfiguration In Cases Of Extreme Emergencies. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/6780.

Council of Science Editors:

Dehghanian P. Quantifying Power System Resilience Improvement Through Network Reconfiguration In Cases Of Extreme Emergencies. [Masters Thesis]. Texas State University – San Marcos; 2017. Available from: https://digital.library.txstate.edu/handle/10877/6780


Texas State University – San Marcos

8. Siddaraju, Varun Kumar. An augmented reality facet mapping technique for ray tracing applications.

Degree: MS, Engineering, 2018, Texas State University – San Marcos

 This research presents a novel spatial mapping technique that is capable of extracting the vector map of an indoor environment based on the images captured… (more)

Subjects/Keywords: Augmented reality; Ray tracing; Image processing; Corner detection; MATLAB; Door detection; Microsoft HoloLens; Spatial mapping; Facet model; Indoor environment mapping; Ray tracing algorithms; Augmented reality; Virtual reality

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APA (6th Edition):

Siddaraju, V. K. (2018). An augmented reality facet mapping technique for ray tracing applications. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7872

Chicago Manual of Style (16th Edition):

Siddaraju, Varun Kumar. “An augmented reality facet mapping technique for ray tracing applications.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/7872.

MLA Handbook (7th Edition):

Siddaraju, Varun Kumar. “An augmented reality facet mapping technique for ray tracing applications.” 2018. Web. 22 Sep 2019.

Vancouver:

Siddaraju VK. An augmented reality facet mapping technique for ray tracing applications. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/7872.

Council of Science Editors:

Siddaraju VK. An augmented reality facet mapping technique for ray tracing applications. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7872


Texas State University – San Marcos

9. Almusaied, Zaid I. Optimization of Solar Energy Harvesting: Building Infrastructure and Statistical Optimization.

Degree: MSin Technology, Industrial Technology, 2016, Texas State University – San Marcos

 Renewable energy is the path for a sustainable future. The development in this field is progressing rapidly and solar energy is at the heart of… (more)

Subjects/Keywords: Solar energy; Solar energy – Research; Renewable energy sources

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APA (6th Edition):

Almusaied, Z. I. (2016). Optimization of Solar Energy Harvesting: Building Infrastructure and Statistical Optimization. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6037

Chicago Manual of Style (16th Edition):

Almusaied, Zaid I. “Optimization of Solar Energy Harvesting: Building Infrastructure and Statistical Optimization.” 2016. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/6037.

MLA Handbook (7th Edition):

Almusaied, Zaid I. “Optimization of Solar Energy Harvesting: Building Infrastructure and Statistical Optimization.” 2016. Web. 22 Sep 2019.

Vancouver:

Almusaied ZI. Optimization of Solar Energy Harvesting: Building Infrastructure and Statistical Optimization. [Internet] [Masters thesis]. Texas State University – San Marcos; 2016. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/6037.

Council of Science Editors:

Almusaied ZI. Optimization of Solar Energy Harvesting: Building Infrastructure and Statistical Optimization. [Masters Thesis]. Texas State University – San Marcos; 2016. Available from: https://digital.library.txstate.edu/handle/10877/6037


Texas State University – San Marcos

10. Estrada, Alejandra. Utilization of Natural Light in Indoor Applications: Simulation and Implementation.

Degree: MS, Technology Management, 2017, Texas State University – San Marcos

 The need for renewable energy has inspired the development of various methods that conserve or lessen the consumption of our nonrenewable natural resources. Alternative methods… (more)

Subjects/Keywords: Light simulation; Natural light for indoor applications; Fiber optics; Natural light capturing and delivering for indoor gardening; Lighting; Indoor gardening

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APA (6th Edition):

Estrada, A. (2017). Utilization of Natural Light in Indoor Applications: Simulation and Implementation. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6781

Chicago Manual of Style (16th Edition):

Estrada, Alejandra. “Utilization of Natural Light in Indoor Applications: Simulation and Implementation.” 2017. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/6781.

MLA Handbook (7th Edition):

Estrada, Alejandra. “Utilization of Natural Light in Indoor Applications: Simulation and Implementation.” 2017. Web. 22 Sep 2019.

Vancouver:

Estrada A. Utilization of Natural Light in Indoor Applications: Simulation and Implementation. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/6781.

Council of Science Editors:

Estrada A. Utilization of Natural Light in Indoor Applications: Simulation and Implementation. [Masters Thesis]. Texas State University – San Marcos; 2017. Available from: https://digital.library.txstate.edu/handle/10877/6781


Texas State University – San Marcos

11. Krishnappa, Raghu. Design and optimization of data acquisition system using wireless underground sensor networks.

Degree: MS, Engineering, 2017, Texas State University – San Marcos

 The growth of Wireless Underground Sensor Networks (WUSN) will lead to numerous emerging applications, such as underground pipelines, oil reservoir monitoring, intelligent agriculture, earthquake and… (more)

Subjects/Keywords: Wireless underground sensor network; Wireless sensor networks; Pipelines – Maintenance and repair

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APA (6th Edition):

Krishnappa, R. (2017). Design and optimization of data acquisition system using wireless underground sensor networks. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6944

Chicago Manual of Style (16th Edition):

Krishnappa, Raghu. “Design and optimization of data acquisition system using wireless underground sensor networks.” 2017. Masters Thesis, Texas State University – San Marcos. Accessed September 22, 2019. https://digital.library.txstate.edu/handle/10877/6944.

MLA Handbook (7th Edition):

Krishnappa, Raghu. “Design and optimization of data acquisition system using wireless underground sensor networks.” 2017. Web. 22 Sep 2019.

Vancouver:

Krishnappa R. Design and optimization of data acquisition system using wireless underground sensor networks. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2019 Sep 22]. Available from: https://digital.library.txstate.edu/handle/10877/6944.

Council of Science Editors:

Krishnappa R. Design and optimization of data acquisition system using wireless underground sensor networks. [Masters Thesis]. Texas State University – San Marcos; 2017. Available from: https://digital.library.txstate.edu/handle/10877/6944

.