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You searched for +publisher:"Virginia Tech" +contributor:("Jazizadeh Karimi, Farrokh"). Showing records 1 – 12 of 12 total matches.

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1. Soto, Cecilia Irene. A Pilot Study for Identifying Tasks and Degrees of Visual Fidelity for Applications of Head Mounted Display Systems for Construction.

Degree: MS, Civil Engineering, 2017, Virginia Tech

 The rise in technology and reduced costs has led to more research on the use of Augmented Reality (AR). However, applications for AR Head Mounted… (more)

Subjects/Keywords: Construction; Augmented Reality

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APA (6th Edition):

Soto, C. I. (2017). A Pilot Study for Identifying Tasks and Degrees of Visual Fidelity for Applications of Head Mounted Display Systems for Construction. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78901

Chicago Manual of Style (16th Edition):

Soto, Cecilia Irene. “A Pilot Study for Identifying Tasks and Degrees of Visual Fidelity for Applications of Head Mounted Display Systems for Construction.” 2017. Masters Thesis, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/78901.

MLA Handbook (7th Edition):

Soto, Cecilia Irene. “A Pilot Study for Identifying Tasks and Degrees of Visual Fidelity for Applications of Head Mounted Display Systems for Construction.” 2017. Web. 18 Apr 2021.

Vancouver:

Soto CI. A Pilot Study for Identifying Tasks and Degrees of Visual Fidelity for Applications of Head Mounted Display Systems for Construction. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/78901.

Council of Science Editors:

Soto CI. A Pilot Study for Identifying Tasks and Degrees of Visual Fidelity for Applications of Head Mounted Display Systems for Construction. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78901


Virginia Tech

2. Abedi, Milad. Directional Airflow for HVAC Systems.

Degree: MS, Civil Engineering, 2019, Virginia Tech

 The notion of adjustable direction of airflow has been used in the car industry and airplanes for decades, enabling the users to manually adjust the… (more)

Subjects/Keywords: HVAC; Thermal Comfort; Reinforcement Learning; Building Energy Consumption

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APA (6th Edition):

Abedi, M. (2019). Directional Airflow for HVAC Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88524

Chicago Manual of Style (16th Edition):

Abedi, Milad. “Directional Airflow for HVAC Systems.” 2019. Masters Thesis, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/88524.

MLA Handbook (7th Edition):

Abedi, Milad. “Directional Airflow for HVAC Systems.” 2019. Web. 18 Apr 2021.

Vancouver:

Abedi M. Directional Airflow for HVAC Systems. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/88524.

Council of Science Editors:

Abedi M. Directional Airflow for HVAC Systems. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/88524


Virginia Tech

3. Suresh, Sreerag. An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models.

Degree: MS, Environmental Engineering, 2020, Virginia Tech

 Building energy load forecasting is becoming an increasingly important task with the rapid deployment of smart homes, integration of renewables into the grid and the… (more)

Subjects/Keywords: load forecasting; building energy; CNN; deep learning; LSTM

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APA (6th Edition):

Suresh, S. (2020). An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99287

Chicago Manual of Style (16th Edition):

Suresh, Sreerag. “An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models.” 2020. Masters Thesis, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/99287.

MLA Handbook (7th Edition):

Suresh, Sreerag. “An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models.” 2020. Web. 18 Apr 2021.

Vancouver:

Suresh S. An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/99287.

Council of Science Editors:

Suresh S. An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99287


Virginia Tech

4. Nagori, Chinmay. Unmanned Aerial Manipulators in Construction - Opportunities and Challenges.

Degree: MS, Civil Engineering, 2020, Virginia Tech

 Drones or Unmanned Aerial Manipulators have been used in the construction industry to collect visual data in form of images, videos, or to map surveys,… (more)

Subjects/Keywords: aerial manipulation; construction; aerial robots; drones

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APA (6th Edition):

Nagori, C. (2020). Unmanned Aerial Manipulators in Construction - Opportunities and Challenges. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/101663

Chicago Manual of Style (16th Edition):

Nagori, Chinmay. “Unmanned Aerial Manipulators in Construction - Opportunities and Challenges.” 2020. Masters Thesis, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/101663.

MLA Handbook (7th Edition):

Nagori, Chinmay. “Unmanned Aerial Manipulators in Construction - Opportunities and Challenges.” 2020. Web. 18 Apr 2021.

Vancouver:

Nagori C. Unmanned Aerial Manipulators in Construction - Opportunities and Challenges. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/101663.

Council of Science Editors:

Nagori C. Unmanned Aerial Manipulators in Construction - Opportunities and Challenges. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/101663

5. Ballivian, Sergio Marlon. Anonymous Indoor Positioning System using Depth Sensors for Context-aware Human-Building Interaction.

Degree: MS, Civil Engineering, 2019, Virginia Tech

 Although Global Positioning System (GPS) has a satisfactory performance navigating outdoors, it fails in indoor environments due to the line of sight requirements. Physical obstacles… (more)

Subjects/Keywords: Sensing; machine learning; Human-technology frontier; Data modeling and computing; Sustainable urban and energy systems; Human-building interaction

…Jazizadeh2 1 Via Department of Civil and Environmental Engineering, Virginia Tech, 200 Patton Hall… …and Environmental Engineering, Virginia Tech, 200 Patton Hall, 750 Drillfield Dr… 

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APA (6th Edition):

Ballivian, S. M. (2019). Anonymous Indoor Positioning System using Depth Sensors for Context-aware Human-Building Interaction. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/89612

Chicago Manual of Style (16th Edition):

Ballivian, Sergio Marlon. “Anonymous Indoor Positioning System using Depth Sensors for Context-aware Human-Building Interaction.” 2019. Masters Thesis, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/89612.

MLA Handbook (7th Edition):

Ballivian, Sergio Marlon. “Anonymous Indoor Positioning System using Depth Sensors for Context-aware Human-Building Interaction.” 2019. Web. 18 Apr 2021.

Vancouver:

Ballivian SM. Anonymous Indoor Positioning System using Depth Sensors for Context-aware Human-Building Interaction. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/89612.

Council of Science Editors:

Ballivian SM. Anonymous Indoor Positioning System using Depth Sensors for Context-aware Human-Building Interaction. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/89612


Virginia Tech

6. Afzalan, Milad. Data-driven customer energy behavior characterization for distributed energy management.

Degree: PhD, Civil Engineering, 2020, Virginia Tech

 Buildings account for more than 70% of electricity consumption in the U.S., in which more than 40% is associated with the residential sector. During recent… (more)

Subjects/Keywords: Distributed energy management; Smart grid; Machine learning; Human-building interaction; Segmentation.

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APA (6th Edition):

Afzalan, M. (2020). Data-driven customer energy behavior characterization for distributed energy management. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99210

Chicago Manual of Style (16th Edition):

Afzalan, Milad. “Data-driven customer energy behavior characterization for distributed energy management.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/99210.

MLA Handbook (7th Edition):

Afzalan, Milad. “Data-driven customer energy behavior characterization for distributed energy management.” 2020. Web. 18 Apr 2021.

Vancouver:

Afzalan M. Data-driven customer energy behavior characterization for distributed energy management. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/99210.

Council of Science Editors:

Afzalan M. Data-driven customer energy behavior characterization for distributed energy management. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99210


Virginia Tech

7. Chen, Yang. Modeling, Control, and Design Study of Balanced Pneumatic Suspension for Improved Roll Stability in Heavy Trucks.

Degree: PhD, Mechanical Engineering, 2017, Virginia Tech

 This research investigates a novel arrangement to pneumatic suspensions that are commonly used in heavy trucks, toward providing a dynamically balanced system that resists body… (more)

Subjects/Keywords: Pneumatic suspension; heavy truck; multi-domain modeling; co-simulation; roll stability; balanced suspension

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APA (6th Edition):

Chen, Y. (2017). Modeling, Control, and Design Study of Balanced Pneumatic Suspension for Improved Roll Stability in Heavy Trucks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/95168

Chicago Manual of Style (16th Edition):

Chen, Yang. “Modeling, Control, and Design Study of Balanced Pneumatic Suspension for Improved Roll Stability in Heavy Trucks.” 2017. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/95168.

MLA Handbook (7th Edition):

Chen, Yang. “Modeling, Control, and Design Study of Balanced Pneumatic Suspension for Improved Roll Stability in Heavy Trucks.” 2017. Web. 18 Apr 2021.

Vancouver:

Chen Y. Modeling, Control, and Design Study of Balanced Pneumatic Suspension for Improved Roll Stability in Heavy Trucks. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/95168.

Council of Science Editors:

Chen Y. Modeling, Control, and Design Study of Balanced Pneumatic Suspension for Improved Roll Stability in Heavy Trucks. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/95168


Virginia Tech

8. Khosrowpour, Ardalan. Establishing the Need for Tailored Energy Feedback Programs in Buildings.

Degree: PhD, Civil Engineering, 2016, Virginia Tech

 Buildings account for 40% of energy consumption in the US. Despite all improvements in buildings shell, equipment, and design, CO2 emissions from buildings are increasing… (more)

Subjects/Keywords: Occupant Behavior; Energy Feedback Program; Eco-Feedback Program; Energy Efficiency

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APA (6th Edition):

Khosrowpour, A. (2016). Establishing the Need for Tailored Energy Feedback Programs in Buildings. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82719

Chicago Manual of Style (16th Edition):

Khosrowpour, Ardalan. “Establishing the Need for Tailored Energy Feedback Programs in Buildings.” 2016. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/82719.

MLA Handbook (7th Edition):

Khosrowpour, Ardalan. “Establishing the Need for Tailored Energy Feedback Programs in Buildings.” 2016. Web. 18 Apr 2021.

Vancouver:

Khosrowpour A. Establishing the Need for Tailored Energy Feedback Programs in Buildings. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/82719.

Council of Science Editors:

Khosrowpour A. Establishing the Need for Tailored Energy Feedback Programs in Buildings. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/82719


Virginia Tech

9. Jung, Wooyoung. Decentralized HVAC Operations: Novel Sensing Technologies and Control for Human-Aware HVAC Operations.

Degree: PhD, Civil Engineering, 2020, Virginia Tech

 With vision of a smart built environment, capable of understanding the contextual dynamics of built environment and adaptively adjusting its operation, this dissertation contributes to… (more)

Subjects/Keywords: HVAC systems; Personal thermal comfort models; Human-in-the-loop operations

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APA (6th Edition):

Jung, W. (2020). Decentralized HVAC Operations: Novel Sensing Technologies and Control for Human-Aware HVAC Operations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/97600

Chicago Manual of Style (16th Edition):

Jung, Wooyoung. “Decentralized HVAC Operations: Novel Sensing Technologies and Control for Human-Aware HVAC Operations.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/97600.

MLA Handbook (7th Edition):

Jung, Wooyoung. “Decentralized HVAC Operations: Novel Sensing Technologies and Control for Human-Aware HVAC Operations.” 2020. Web. 18 Apr 2021.

Vancouver:

Jung W. Decentralized HVAC Operations: Novel Sensing Technologies and Control for Human-Aware HVAC Operations. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/97600.

Council of Science Editors:

Jung W. Decentralized HVAC Operations: Novel Sensing Technologies and Control for Human-Aware HVAC Operations. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/97600


Virginia Tech

10. Xiong, Yunjie. A BIM-based Interoperability Platform in Support of Building Operation and Energy Management.

Degree: PhD, Environmental Design and Planning, 2020, Virginia Tech

 Building energy efficiency is progressively becoming a crucial topic in the architecture, engineering, and construction (AEC) sector, promising appropriate energy savings can be achieved over… (more)

Subjects/Keywords: BIM; Building Energy Simulation; Building Automation System; IFC

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APA (6th Edition):

Xiong, Y. (2020). A BIM-based Interoperability Platform in Support of Building Operation and Energy Management. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/97364

Chicago Manual of Style (16th Edition):

Xiong, Yunjie. “A BIM-based Interoperability Platform in Support of Building Operation and Energy Management.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/97364.

MLA Handbook (7th Edition):

Xiong, Yunjie. “A BIM-based Interoperability Platform in Support of Building Operation and Energy Management.” 2020. Web. 18 Apr 2021.

Vancouver:

Xiong Y. A BIM-based Interoperability Platform in Support of Building Operation and Energy Management. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/97364.

Council of Science Editors:

Xiong Y. A BIM-based Interoperability Platform in Support of Building Operation and Energy Management. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/97364


Virginia Tech

11. Franco Duran, Diana Marcela. An Enhanced RCS Heuristic and an Enhanced RCPM Algorithm to Perform Delay Analysis in Schedules without Phantom Float.

Degree: PhD, Civil Engineering, 2020, Virginia Tech

 One of the challenges of resource allocation is resource availability because oftentimes, the resource demand exceeds the supply. When resources are over-allocated, activities are delayed… (more)

Subjects/Keywords: Phantom Float; Primavera P6; Resource Overallocation; Resource-Constrained Scheduling; Resource-Depend Activity Relationships

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APA (6th Edition):

Franco Duran, D. M. (2020). An Enhanced RCS Heuristic and an Enhanced RCPM Algorithm to Perform Delay Analysis in Schedules without Phantom Float. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/97570

Chicago Manual of Style (16th Edition):

Franco Duran, Diana Marcela. “An Enhanced RCS Heuristic and an Enhanced RCPM Algorithm to Perform Delay Analysis in Schedules without Phantom Float.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/97570.

MLA Handbook (7th Edition):

Franco Duran, Diana Marcela. “An Enhanced RCS Heuristic and an Enhanced RCPM Algorithm to Perform Delay Analysis in Schedules without Phantom Float.” 2020. Web. 18 Apr 2021.

Vancouver:

Franco Duran DM. An Enhanced RCS Heuristic and an Enhanced RCPM Algorithm to Perform Delay Analysis in Schedules without Phantom Float. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/97570.

Council of Science Editors:

Franco Duran DM. An Enhanced RCS Heuristic and an Enhanced RCPM Algorithm to Perform Delay Analysis in Schedules without Phantom Float. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/97570


Virginia Tech

12. Khaghani, Farnaz. Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven  Approach for Smart Cities.

Degree: PhD, Civil Engineering, 2020, Virginia Tech

 Transportation infrastructure systems are among the most fundamental facilities and systems in urban areas due to the role they play in mobility, economy, and environmental… (more)

Subjects/Keywords: Resilience; Resourcefulness; Diversity; Equity; Network topology; Taxicab GPS data; Data Envelopment Analysis

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APA (6th Edition):

Khaghani, F. (2020). Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven  Approach for Smart Cities. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99206

Chicago Manual of Style (16th Edition):

Khaghani, Farnaz. “Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven  Approach for Smart Cities.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 18, 2021. http://hdl.handle.net/10919/99206.

MLA Handbook (7th Edition):

Khaghani, Farnaz. “Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven  Approach for Smart Cities.” 2020. Web. 18 Apr 2021.

Vancouver:

Khaghani F. Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven  Approach for Smart Cities. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10919/99206.

Council of Science Editors:

Khaghani F. Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven  Approach for Smart Cities. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99206

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