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You searched for +publisher:"Texas State University – San Marcos" +contributor:("Asiabanpour, Bahram"). Showing records 1 – 17 of 17 total matches.

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Texas State University – San Marcos

1. 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 April 10, 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. 10 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 10]. 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

2. Sabbagh, Ramin. Semantic Text Analytics Technique for Classification of Manufacturing Suppliers.

Degree: MS, Technology Management, 2018, Texas State University – San Marcos

 Most of the information available in the manufacturing industry is in unstructured, natural language format. The unstructured data could contain important and useful information that… (more)

Subjects/Keywords: Manufacturing; Supply Chain; Text Mining; Classification; Clustering; Topic Modeling; Machine Learning; Database management; Data mining; Business logistics – Data processing

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APA (6th Edition):

Sabbagh, R. (2018). Semantic Text Analytics Technique for Classification of Manufacturing Suppliers. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7448

Chicago Manual of Style (16th Edition):

Sabbagh, Ramin. “Semantic Text Analytics Technique for Classification of Manufacturing Suppliers.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/7448.

MLA Handbook (7th Edition):

Sabbagh, Ramin. “Semantic Text Analytics Technique for Classification of Manufacturing Suppliers.” 2018. Web. 10 Apr 2021.

Vancouver:

Sabbagh R. Semantic Text Analytics Technique for Classification of Manufacturing Suppliers. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/7448.

Council of Science Editors:

Sabbagh R. Semantic Text Analytics Technique for Classification of Manufacturing Suppliers. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7448


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 10, 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. 10 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 10]. 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 10, 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. 10 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 10]. 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. Mekha, Venkateshwara. Automated Tool Path Planning for Industrial Robot in Material Handling in Warehouse Automation.

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

 The warehouses today continue to rely on human workers because of the failure to implement the autonomous order picking system to meet the demands in… (more)

Subjects/Keywords: ABB Robots; Robotiq-2 finger gripper; Cognex vision system; Robots, Industrial; Manufacturing processes – Automation

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APA (6th Edition):

Mekha, V. (2018). Automated Tool Path Planning for Industrial Robot in Material Handling in Warehouse Automation. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7893

Chicago Manual of Style (16th Edition):

Mekha, Venkateshwara. “Automated Tool Path Planning for Industrial Robot in Material Handling in Warehouse Automation.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/7893.

MLA Handbook (7th Edition):

Mekha, Venkateshwara. “Automated Tool Path Planning for Industrial Robot in Material Handling in Warehouse Automation.” 2018. Web. 10 Apr 2021.

Vancouver:

Mekha V. Automated Tool Path Planning for Industrial Robot in Material Handling in Warehouse Automation. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/7893.

Council of Science Editors:

Mekha V. Automated Tool Path Planning for Industrial Robot in Material Handling in Warehouse Automation. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7893


Texas State University – San Marcos

6. Zohra, Fatema Tuz. Design and Development of an Integrated Water System Combining Rainwater Harvesting System (RHS) and Atmospheric Water Generator (AWG).

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

 The objective of this research is to design and develop a smart integrated water system that combines two off-grid freshwater resources- Rain Harvesting System (RHS)… (more)

Subjects/Keywords: Automation with Arduino; Integrated water system; Atmospheric water generator; Rain harvesting system; Water quality; Water conservation; Water resources development; Water harvesting

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APA (6th Edition):

Zohra, F. T. (2020). Design and Development of an Integrated Water System Combining Rainwater Harvesting System (RHS) and Atmospheric Water Generator (AWG). (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/12238

Chicago Manual of Style (16th Edition):

Zohra, Fatema Tuz. “Design and Development of an Integrated Water System Combining Rainwater Harvesting System (RHS) and Atmospheric Water Generator (AWG).” 2020. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/12238.

MLA Handbook (7th Edition):

Zohra, Fatema Tuz. “Design and Development of an Integrated Water System Combining Rainwater Harvesting System (RHS) and Atmospheric Water Generator (AWG).” 2020. Web. 10 Apr 2021.

Vancouver:

Zohra FT. Design and Development of an Integrated Water System Combining Rainwater Harvesting System (RHS) and Atmospheric Water Generator (AWG). [Internet] [Masters thesis]. Texas State University – San Marcos; 2020. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/12238.

Council of Science Editors:

Zohra FT. Design and Development of an Integrated Water System Combining Rainwater Harvesting System (RHS) and Atmospheric Water Generator (AWG). [Masters Thesis]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/12238


Texas State University – San Marcos

7. Randolph, Otto C. P. F. Smart Renewable Energy Allocation and Consumption in an Off-Grid Vertical Farming System.

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

 Current electrical generation techniques are designed for fossil-fueled power plants and do not lend themselves for implementation with renewable solar energy sources as they rely… (more)

Subjects/Keywords: Vertical farming; Renewable energy; Off-grid; Smart systems; Renewable energy sources; Sustainable engineering; Agricultural systems

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APA (6th Edition):

Randolph, O. C. P. F. (2020). Smart Renewable Energy Allocation and Consumption in an Off-Grid Vertical Farming System. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/12240

Chicago Manual of Style (16th Edition):

Randolph, Otto C P F. “Smart Renewable Energy Allocation and Consumption in an Off-Grid Vertical Farming System.” 2020. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/12240.

MLA Handbook (7th Edition):

Randolph, Otto C P F. “Smart Renewable Energy Allocation and Consumption in an Off-Grid Vertical Farming System.” 2020. Web. 10 Apr 2021.

Vancouver:

Randolph OCPF. Smart Renewable Energy Allocation and Consumption in an Off-Grid Vertical Farming System. [Internet] [Masters thesis]. Texas State University – San Marcos; 2020. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/12240.

Council of Science Editors:

Randolph OCPF. Smart Renewable Energy Allocation and Consumption in an Off-Grid Vertical Farming System. [Masters Thesis]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/12240


Texas State University – San Marcos

8. 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

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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 10, 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. 10 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 10]. 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

9. Navale, Sagar Vijay. Feasibility study of thermoplastic nanocomposite for ESD applications using additive manufacturing.

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

 Nanocomposite materials are the multiphase solid materials where one of the phases has one, two or three dimensions less than 100 nanometers (nm). Nanocomposite materials… (more)

Subjects/Keywords: Additive manufacturing; 3D printing; Fused deposition modelling (FDM); Twin screw extrusion; Electro Static charge dissipation; Annealing

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APA (6th Edition):

Navale, S. V. (2018). Feasibility study of thermoplastic nanocomposite for ESD applications using additive manufacturing. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/13105

Chicago Manual of Style (16th Edition):

Navale, Sagar Vijay. “Feasibility study of thermoplastic nanocomposite for ESD applications using additive manufacturing.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/13105.

MLA Handbook (7th Edition):

Navale, Sagar Vijay. “Feasibility study of thermoplastic nanocomposite for ESD applications using additive manufacturing.” 2018. Web. 10 Apr 2021.

Vancouver:

Navale SV. Feasibility study of thermoplastic nanocomposite for ESD applications using additive manufacturing. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/13105.

Council of Science Editors:

Navale SV. Feasibility study of thermoplastic nanocomposite for ESD applications using additive manufacturing. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/13105


Texas State University – San Marcos

10. Hayasi, Mohammad. The Improvement of the Fully Dense Freeform Fabrication (FDFF) Process by Designing the Angular Adaptive Slicing Algorithm and Design of Experiments.

Degree: MS, Industrial Technology, 2012, Texas State University – San Marcos

 Fully dense freeform fabrication (FDFF) is a process based on thin line cutting processes, variable thickness layering, slicing in different orientations, and bulk layer attachment.… (more)

Subjects/Keywords: Sloped-edge Adaptive Slicing; 5-Axis Cutting; Rapid Functional Part Fabrication; Rapid Tooling; Fully Dense Freeform Fabrication (FDFF); Design of Experiment; Manufacturing processes; Rapid tooling; Engineering graphics; Engineering models – Data processing

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APA (6th Edition):

Hayasi, M. (2012). The Improvement of the Fully Dense Freeform Fabrication (FDFF) Process by Designing the Angular Adaptive Slicing Algorithm and Design of Experiments. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/4251

Chicago Manual of Style (16th Edition):

Hayasi, Mohammad. “The Improvement of the Fully Dense Freeform Fabrication (FDFF) Process by Designing the Angular Adaptive Slicing Algorithm and Design of Experiments.” 2012. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/4251.

MLA Handbook (7th Edition):

Hayasi, Mohammad. “The Improvement of the Fully Dense Freeform Fabrication (FDFF) Process by Designing the Angular Adaptive Slicing Algorithm and Design of Experiments.” 2012. Web. 10 Apr 2021.

Vancouver:

Hayasi M. The Improvement of the Fully Dense Freeform Fabrication (FDFF) Process by Designing the Angular Adaptive Slicing Algorithm and Design of Experiments. [Internet] [Masters thesis]. Texas State University – San Marcos; 2012. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/4251.

Council of Science Editors:

Hayasi M. The Improvement of the Fully Dense Freeform Fabrication (FDFF) Process by Designing the Angular Adaptive Slicing Algorithm and Design of Experiments. [Masters Thesis]. Texas State University – San Marcos; 2012. Available from: https://digital.library.txstate.edu/handle/10877/4251


Texas State University – San Marcos

11. 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 10, 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. 10 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 10]. 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

12. 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 April 10, 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. 10 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 10]. 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

13. Shree, Swayam. Fatigue Characterization of Glass Fiber Reinforced Vinyl Ester and Polyester Composites Containing Core Shell Rubber Particles.

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

 Glass fiber reinforced polymer matrix composites have experienced tremendous growth in wind energy, construction, marine and automotive industries. This is because of the superior mechanical… (more)

Subjects/Keywords: Tension-compression fatigue; Core shell rubber; Fiber-reinforced plastics; Vinyl polymers

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APA (6th Edition):

Shree, S. (2019). Fatigue Characterization of Glass Fiber Reinforced Vinyl Ester and Polyester Composites Containing Core Shell Rubber Particles. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8380

Chicago Manual of Style (16th Edition):

Shree, Swayam. “Fatigue Characterization of Glass Fiber Reinforced Vinyl Ester and Polyester Composites Containing Core Shell Rubber Particles.” 2019. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/8380.

MLA Handbook (7th Edition):

Shree, Swayam. “Fatigue Characterization of Glass Fiber Reinforced Vinyl Ester and Polyester Composites Containing Core Shell Rubber Particles.” 2019. Web. 10 Apr 2021.

Vancouver:

Shree S. Fatigue Characterization of Glass Fiber Reinforced Vinyl Ester and Polyester Composites Containing Core Shell Rubber Particles. [Internet] [Masters thesis]. Texas State University – San Marcos; 2019. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/8380.

Council of Science Editors:

Shree S. Fatigue Characterization of Glass Fiber Reinforced Vinyl Ester and Polyester Composites Containing Core Shell Rubber Particles. [Masters Thesis]. Texas State University – San Marcos; 2019. Available from: https://digital.library.txstate.edu/handle/10877/8380


Texas State University – San Marcos

14. Fahami, Abbas. Mechanochemical Activation of Synthetic Nanosized 2-d Layered Materials: Preparation and Characterization.

Degree: PhD, Materials Science, Engineering, and Commercialization, 2017, Texas State University – San Marcos

 The clay materials provide a 2-D lamellar structure with a myriad of applications in medicine, water treatment, catalysis, and biochemistry. They are utilized for the… (more)

Subjects/Keywords: Mechanochemistry; Hydrotalcite; Haydrocalumite; Talc; Kaolinite; Halloysite; Montmorillonite; Hectorite

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APA (6th Edition):

Fahami, A. (2017). Mechanochemical Activation of Synthetic Nanosized 2-d Layered Materials: Preparation and Characterization. (Doctoral Dissertation). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8184

Chicago Manual of Style (16th Edition):

Fahami, Abbas. “Mechanochemical Activation of Synthetic Nanosized 2-d Layered Materials: Preparation and Characterization.” 2017. Doctoral Dissertation, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/8184.

MLA Handbook (7th Edition):

Fahami, Abbas. “Mechanochemical Activation of Synthetic Nanosized 2-d Layered Materials: Preparation and Characterization.” 2017. Web. 10 Apr 2021.

Vancouver:

Fahami A. Mechanochemical Activation of Synthetic Nanosized 2-d Layered Materials: Preparation and Characterization. [Internet] [Doctoral dissertation]. Texas State University – San Marcos; 2017. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/8184.

Council of Science Editors:

Fahami A. Mechanochemical Activation of Synthetic Nanosized 2-d Layered Materials: Preparation and Characterization. [Doctoral Dissertation]. Texas State University – San Marcos; 2017. Available from: https://digital.library.txstate.edu/handle/10877/8184


Texas State University – San Marcos

15. 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 10, 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. 10 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 10]. 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


Texas State University – San Marcos

16. Konga, Srujan Kumar. Low Cost Manufacturing and Performance Evaluation of Soy-based Polyurethane/E-glass Composites.

Degree: MS, Technology, 2008, Texas State University – San Marcos

 Presently, there is a renewed interest in developing materials and products based on bio-based and renewable resources‘ (Pollock, 2004). The principal drivers for this interest… (more)

Subjects/Keywords: Polyurethane; VARTM; Soy-based polyol; Bio-based composites; Engineering; Science and Technology Studies

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

APA (6th Edition):

Konga, S. K. (2008). Low Cost Manufacturing and Performance Evaluation of Soy-based Polyurethane/E-glass Composites. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/3415

Chicago Manual of Style (16th Edition):

Konga, Srujan Kumar. “Low Cost Manufacturing and Performance Evaluation of Soy-based Polyurethane/E-glass Composites.” 2008. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/3415.

MLA Handbook (7th Edition):

Konga, Srujan Kumar. “Low Cost Manufacturing and Performance Evaluation of Soy-based Polyurethane/E-glass Composites.” 2008. Web. 10 Apr 2021.

Vancouver:

Konga SK. Low Cost Manufacturing and Performance Evaluation of Soy-based Polyurethane/E-glass Composites. [Internet] [Masters thesis]. Texas State University – San Marcos; 2008. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/3415.

Council of Science Editors:

Konga SK. Low Cost Manufacturing and Performance Evaluation of Soy-based Polyurethane/E-glass Composites. [Masters Thesis]. Texas State University – San Marcos; 2008. Available from: https://digital.library.txstate.edu/handle/10877/3415


Texas State University – San Marcos

17. Vejandla, Durga Tejaswani. Optimizing the Automated Plasma Cutting Process by Design of Experiment.

Degree: MS, Industrial Technology, 2009, Texas State University – San Marcos

 Building complex two–dimensional metallic parts is difficult due to the physical properties of the metal, such as its solid nature, thickness, etc. Automated Plasma Cutting… (more)

Subjects/Keywords: Optimization; Plasma cutting; Design of experiment; Desirability function; Response surface method; Optimal parameter setting; Engineering

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

APA (6th Edition):

Vejandla, D. T. (2009). Optimizing the Automated Plasma Cutting Process by Design of Experiment. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/3158

Chicago Manual of Style (16th Edition):

Vejandla, Durga Tejaswani. “Optimizing the Automated Plasma Cutting Process by Design of Experiment.” 2009. Masters Thesis, Texas State University – San Marcos. Accessed April 10, 2021. https://digital.library.txstate.edu/handle/10877/3158.

MLA Handbook (7th Edition):

Vejandla, Durga Tejaswani. “Optimizing the Automated Plasma Cutting Process by Design of Experiment.” 2009. Web. 10 Apr 2021.

Vancouver:

Vejandla DT. Optimizing the Automated Plasma Cutting Process by Design of Experiment. [Internet] [Masters thesis]. Texas State University – San Marcos; 2009. [cited 2021 Apr 10]. Available from: https://digital.library.txstate.edu/handle/10877/3158.

Council of Science Editors:

Vejandla DT. Optimizing the Automated Plasma Cutting Process by Design of Experiment. [Masters Thesis]. Texas State University – San Marcos; 2009. Available from: https://digital.library.txstate.edu/handle/10877/3158

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