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You searched for +publisher:"Texas State University – San Marcos" +contributor:("Stern, Harold"). Showing records 1 – 10 of 10 total matches.

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Texas State University – San Marcos

1. Vottem, Spandana. Application of Cooperative Game Theory in Smart Grids.

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

 Nowadays, as the conventional grid cannot handle the technology, the smart grid is introduced to provide two-way communication between utility and customers to meet the… (more)

Subjects/Keywords: Coopeartive game theory; Smart grids; Prosumer; Shapley value; Software engineering; Game theory; Smart power grids

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APA (6th Edition):

Vottem, S. (2019). Application of Cooperative Game Theory in Smart Grids. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8992

Chicago Manual of Style (16th Edition):

Vottem, Spandana. “Application of Cooperative Game Theory in Smart Grids.” 2019. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/8992.

MLA Handbook (7th Edition):

Vottem, Spandana. “Application of Cooperative Game Theory in Smart Grids.” 2019. Web. 13 Apr 2021.

Vancouver:

Vottem S. Application of Cooperative Game Theory in Smart Grids. [Internet] [Masters thesis]. Texas State University – San Marcos; 2019. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/8992.

Council of Science Editors:

Vottem S. Application of Cooperative Game Theory in Smart Grids. [Masters Thesis]. Texas State University – San Marcos; 2019. Available from: https://digital.library.txstate.edu/handle/10877/8992


Texas State University – San Marcos

2. 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

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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

3. 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

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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

4. 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 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

5. 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

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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

6. Islam, Shafinaz. A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures.

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

 Audio signal analysis has become prominent in biological domains for detecting endangered or threatened species like Houston toad and Crawfish frog. Researchers at Texas State(more)

Subjects/Keywords: Houston toad; Crawfish frog; Call recognition; LSTM; GRU; MFCCs; SSCs; Ensemble learning

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APA (6th Edition):

Islam, S. (2020). A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/13030

Chicago Manual of Style (16th Edition):

Islam, Shafinaz. “A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures.” 2020. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/13030.

MLA Handbook (7th Edition):

Islam, Shafinaz. “A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures.” 2020. Web. 13 Apr 2021.

Vancouver:

Islam S. A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures. [Internet] [Masters thesis]. Texas State University – San Marcos; 2020. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/13030.

Council of Science Editors:

Islam S. A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures. [Masters Thesis]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/13030


Texas State University – San Marcos

7. Khanal, Jagadish. Design of Four Element Patch Array Antenna for IEEE 802.11 at 2.4 GHz.

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

 This is a very exciting time to investigate microstrip (aka. patch or printed) antennas because the world of technology is ready to take a big… (more)

Subjects/Keywords: Microstrip antenna; Array; Transmission line; Gain; Microstrip antennas; Wireless communication systems

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APA (6th Edition):

Khanal, J. (2019). Design of Four Element Patch Array Antenna for IEEE 802.11 at 2.4 GHz. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8137

Chicago Manual of Style (16th Edition):

Khanal, Jagadish. “Design of Four Element Patch Array Antenna for IEEE 802.11 at 2.4 GHz.” 2019. Masters Thesis, Texas State University – San Marcos. Accessed April 13, 2021. https://digital.library.txstate.edu/handle/10877/8137.

MLA Handbook (7th Edition):

Khanal, Jagadish. “Design of Four Element Patch Array Antenna for IEEE 802.11 at 2.4 GHz.” 2019. Web. 13 Apr 2021.

Vancouver:

Khanal J. Design of Four Element Patch Array Antenna for IEEE 802.11 at 2.4 GHz. [Internet] [Masters thesis]. Texas State University – San Marcos; 2019. [cited 2021 Apr 13]. Available from: https://digital.library.txstate.edu/handle/10877/8137.

Council of Science Editors:

Khanal J. Design of Four Element Patch Array Antenna for IEEE 802.11 at 2.4 GHz. [Masters Thesis]. Texas State University – San Marcos; 2019. Available from: https://digital.library.txstate.edu/handle/10877/8137


Texas State University – San Marcos

8. 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 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

9. 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

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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

10. 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 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

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