Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Texas State University – San Marcos" +contributor:("Aslan, Semih"). Showing records 1 – 20 of 20 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


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)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

Vancouver:

Thanda Setty V. Speaker Recognition using Deep Neural Networks with reduced Complexity. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 13]. 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. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

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 2021 Apr 13]. 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

3. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

Vancouver:

Radhakrishna C. IOT Based Network Management Portal for Augmented Reality Applications. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 13]. 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

4. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

Vancouver:

Siddaraju VK. An augmented reality facet mapping technique for ray tracing applications. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 13]. 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

5. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. https://digital.library.txstate.edu/handle/10877/8508.

MLA Handbook (7th Edition):

Ranganathapura Chandrai G, Karuna. “Hardware Accelerator for Elias Gamma Code.” 2017. Web. 13 Apr 2021.

Vancouver:

Ranganathapura Chandrai G K. Hardware Accelerator for Elias Gamma Code. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2021 Apr 13]. 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

6. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

Vancouver:

Ekram MAU. Measurement of Control parameters for Omnidirectional Treadmills using RGBD camera. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2021 Apr 13]. 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

7. Keni, Archita Satish. Using CDMA/AIC to Increase Energy Efficiency and Reduce Multipath Effects in Passive RFID Tag Systems.

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

 The Radio Frequency Identification [RFID] technology is a novel solution used in supply chain management. A large warehouse consisting of hundreds of objects must be… (more)

Subjects/Keywords: RFID tag systems; Code division multiple access (cdma); Inventory management; Adaptive interference cancellation; Radio frequency identification systems; Business logistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Keni, A. S. (2019). Using CDMA/AIC to Increase Energy Efficiency and Reduce Multipath Effects in Passive RFID Tag Systems. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8985

Chicago Manual of Style (16th Edition):

Keni, Archita Satish. “Using CDMA/AIC to Increase Energy Efficiency and Reduce Multipath Effects in Passive RFID Tag Systems.” 2019. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/8985.

MLA Handbook (7th Edition):

Keni, Archita Satish. “Using CDMA/AIC to Increase Energy Efficiency and Reduce Multipath Effects in Passive RFID Tag Systems.” 2019. Web. 13 Apr 2021.

Vancouver:

Keni AS. Using CDMA/AIC to Increase Energy Efficiency and Reduce Multipath Effects in Passive RFID Tag Systems. [Internet] [Masters thesis]. Texas State University – San Marcos; 2019. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/8985.

Council of Science Editors:

Keni AS. Using CDMA/AIC to Increase Energy Efficiency and Reduce Multipath Effects in Passive RFID Tag Systems. [Masters Thesis]. Texas State University – San Marcos; 2019. Available from: https://digital.library.txstate.edu/handle/10877/8985


Texas State University – San Marcos

8. Yadav, Ashutosh. Correlation of Radio Wave with Photometric Light for Representation of Radio Loss using Transparent Film and its Implementation using MATLAB.

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

 The demand for wireless communication has significantly grown in recent years. The number of communicating devices is increasing with the development of new RF circuits… (more)

Subjects/Keywords: Photometric light; Luminance; Friis equation; Transparent film

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yadav, A. (2018). Correlation of Radio Wave with Photometric Light for Representation of Radio Loss using Transparent Film and its Implementation using MATLAB. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/9290

Chicago Manual of Style (16th Edition):

Yadav, Ashutosh. “Correlation of Radio Wave with Photometric Light for Representation of Radio Loss using Transparent Film and its Implementation using MATLAB.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/9290.

MLA Handbook (7th Edition):

Yadav, Ashutosh. “Correlation of Radio Wave with Photometric Light for Representation of Radio Loss using Transparent Film and its Implementation using MATLAB.” 2018. Web. 13 Apr 2021.

Vancouver:

Yadav A. Correlation of Radio Wave with Photometric Light for Representation of Radio Loss using Transparent Film and its Implementation using MATLAB. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/9290.

Council of Science Editors:

Yadav A. Correlation of Radio Wave with Photometric Light for Representation of Radio Loss using Transparent Film and its Implementation using MATLAB. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/9290


Texas State University – San Marcos

9. 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; Toads – Texas; Endangered species – Texas

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

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 2021 Apr 13]. 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

10. Mekala, Sai Swathi. Research of Water Detection in Autonomous Vehicles.

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

 An autonomous car is a ground vehicle that navigates without human input. These vehicles are expected to reach $60 billion in sales by 2025. But… (more)

Subjects/Keywords: Image classification; Automated vehicles; Detectors

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mekala, S. S. (2019). Research of Water Detection in Autonomous Vehicles. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8998

Chicago Manual of Style (16th Edition):

Mekala, Sai Swathi. “Research of Water Detection in Autonomous Vehicles.” 2019. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/8998.

MLA Handbook (7th Edition):

Mekala, Sai Swathi. “Research of Water Detection in Autonomous Vehicles.” 2019. Web. 13 Apr 2021.

Vancouver:

Mekala SS. Research of Water Detection in Autonomous Vehicles. [Internet] [Masters thesis]. Texas State University – San Marcos; 2019. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/8998.

Council of Science Editors:

Mekala SS. Research of Water Detection in Autonomous Vehicles. [Masters Thesis]. Texas State University – San Marcos; 2019. Available from: https://digital.library.txstate.edu/handle/10877/8998


Texas State University – San Marcos

11. Islam, Md Toufikul. Leak Detection, Localization and Size Prediction in Water Pipeline Systems.

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

 Wireless Sensor Networks (WSNs) consist of wireless devices that are either installed above the ground or buried under dense soil or placed in any underground… (more)

Subjects/Keywords: Wireless sensor network; Exponential curve fit; Support vector machine; Artificial neural network

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Islam, M. T. (2018). Leak Detection, Localization and Size Prediction in Water Pipeline Systems. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/9287

Chicago Manual of Style (16th Edition):

Islam, Md Toufikul. “Leak Detection, Localization and Size Prediction in Water Pipeline Systems.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/9287.

MLA Handbook (7th Edition):

Islam, Md Toufikul. “Leak Detection, Localization and Size Prediction in Water Pipeline Systems.” 2018. Web. 13 Apr 2021.

Vancouver:

Islam MT. Leak Detection, Localization and Size Prediction in Water Pipeline Systems. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/9287.

Council of Science Editors:

Islam MT. Leak Detection, Localization and Size Prediction in Water Pipeline Systems. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/9287


Texas State University – San Marcos

12. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

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 2021 Apr 13]. 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

13. Sampathkumar, Ranganathan. Developing an Internet of Things Protocol Test Bed for Evaluating a Modulation Technique and a Medium Access Control Protocol.

Degree: MS, Engineering, 2020, Texas State University – San Marcos

 Internet of Things is used in a wide range in our day to day life, but there are many potential new IoT applications that cannot… (more)

Subjects/Keywords: IEEE802.15.4 protocol; Lime SDR USB; Wireshark protocol analyzer; GNU radio companion; OQPSK modulation; Software engineering; Wireless communication systems; Internet of things

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sampathkumar, R. (2020). Developing an Internet of Things Protocol Test Bed for Evaluating a Modulation Technique and a Medium Access Control Protocol. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/9872

Chicago Manual of Style (16th Edition):

Sampathkumar, Ranganathan. “Developing an Internet of Things Protocol Test Bed for Evaluating a Modulation Technique and a Medium Access Control Protocol.” 2020. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/9872.

MLA Handbook (7th Edition):

Sampathkumar, Ranganathan. “Developing an Internet of Things Protocol Test Bed for Evaluating a Modulation Technique and a Medium Access Control Protocol.” 2020. Web. 13 Apr 2021.

Vancouver:

Sampathkumar R. Developing an Internet of Things Protocol Test Bed for Evaluating a Modulation Technique and a Medium Access Control Protocol. [Internet] [Masters thesis]. Texas State University – San Marcos; 2020. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/9872.

Council of Science Editors:

Sampathkumar R. Developing an Internet of Things Protocol Test Bed for Evaluating a Modulation Technique and a Medium Access Control Protocol. [Masters Thesis]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/9872


Texas State University – San Marcos

14. Chaudhary, Anjani. Conversion of Sparse Matrix to Band Matrix Using FPGA for High-Performance Computing.

Degree: MS, Engineering, 2020, Texas State University – San Marcos

 Low power and high computation speed with less memory storage are essential for a real-time scientific computational application. Applications such as image processing, power system,… (more)

Subjects/Keywords: Sparse Matrix; Band Matrix; RCM algorithm

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chaudhary, A. (2020). Conversion of Sparse Matrix to Band Matrix Using FPGA for High-Performance Computing. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/13033

Chicago Manual of Style (16th Edition):

Chaudhary, Anjani. “Conversion of Sparse Matrix to Band Matrix Using FPGA for High-Performance Computing.” 2020. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/13033.

MLA Handbook (7th Edition):

Chaudhary, Anjani. “Conversion of Sparse Matrix to Band Matrix Using FPGA for High-Performance Computing.” 2020. Web. 13 Apr 2021.

Vancouver:

Chaudhary A. Conversion of Sparse Matrix to Band Matrix Using FPGA for High-Performance Computing. [Internet] [Masters thesis]. Texas State University – San Marcos; 2020. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/13033.

Council of Science Editors:

Chaudhary A. Conversion of Sparse Matrix to Band Matrix Using FPGA for High-Performance Computing. [Masters Thesis]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/13033


Texas State University – San Marcos

15. Paul, Kamal Chandra. Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms.

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

 Nowadays, face recognition plays a vital role in various security, access control, and surveillance systems. In computer vision, automatic face recognition is a challenging job… (more)

Subjects/Keywords: Face recognition; LBPH; Fisherface; Eigenface; OpenCV; Python; CLAHE; Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Paul, K. C. (2018). Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/13109

Chicago Manual of Style (16th Edition):

Paul, Kamal Chandra. “Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/13109.

MLA Handbook (7th Edition):

Paul, Kamal Chandra. “Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms.” 2018. Web. 13 Apr 2021.

Vancouver:

Paul KC. Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/13109.

Council of Science Editors:

Paul KC. Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/13109


Texas State University – San Marcos

16. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

Vancouver:

Almusaied ZI. Optimization of Solar Energy Harvesting: Building Infrastructure and Statistical Optimization. [Internet] [Masters thesis]. Texas State University – San Marcos; 2016. [cited 2021 Apr 13]. 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

17. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

Vancouver:

Estrada A. Utilization of Natural Light in Indoor Applications: Simulation and Implementation. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2021 Apr 13]. 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

18. Mohan Kumar, Rashmi. Collision Avoidance and Extending Range and Capacity in ZigBee.

Degree: MS, Engineering, 2020, Texas State University – San Marcos

 ZigBee technology is a low data rate, low power consumption, low cost, wireless networking protocol built on top of the IEEE 802.15.4 short range communications… (more)

Subjects/Keywords: ZigBee; Increased system capacity; Increased system range; Increased battery life of devices; Effectively handles collisions; Reduced number of re-transmissions; Increased system throughput; Increased system accuracy; Wireless internet; Wireless communication systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mohan Kumar, R. (2020). Collision Avoidance and Extending Range and Capacity in ZigBee. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/9685

Chicago Manual of Style (16th Edition):

Mohan Kumar, Rashmi. “Collision Avoidance and Extending Range and Capacity in ZigBee.” 2020. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/9685.

MLA Handbook (7th Edition):

Mohan Kumar, Rashmi. “Collision Avoidance and Extending Range and Capacity in ZigBee.” 2020. Web. 13 Apr 2021.

Vancouver:

Mohan Kumar R. Collision Avoidance and Extending Range and Capacity in ZigBee. [Internet] [Masters thesis]. Texas State University – San Marcos; 2020. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/9685.

Council of Science Editors:

Mohan Kumar R. Collision Avoidance and Extending Range and Capacity in ZigBee. [Masters Thesis]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/9685


Texas State University – San Marcos

19. Cao, Cheng. Robot Learning for Object Handling in an Unstructured Environment.

Degree: MS, Engineering, 2020, Texas State University – San Marcos

 In the oil exploration industry, perforated pipe assembly can be a prolonged process in the manufacturing environment. A pipe keyway must be aligned to successfully… (more)

Subjects/Keywords: Robotics; Machine vision; Keyway alignment; GRNN

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cao, C. (2020). Robot Learning for Object Handling in an Unstructured Environment. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/13062

Chicago Manual of Style (16th Edition):

Cao, Cheng. “Robot Learning for Object Handling in an Unstructured Environment.” 2020. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/13062.

MLA Handbook (7th Edition):

Cao, Cheng. “Robot Learning for Object Handling in an Unstructured Environment.” 2020. Web. 13 Apr 2021.

Vancouver:

Cao C. Robot Learning for Object Handling in an Unstructured Environment. [Internet] [Masters thesis]. Texas State University – San Marcos; 2020. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/13062.

Council of Science Editors:

Cao C. Robot Learning for Object Handling in an Unstructured Environment. [Masters Thesis]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/13062


Texas State University – San Marcos

20. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 13, 2021. 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. 13 Apr 2021.

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 2021 Apr 13]. 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

.