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Full-Text Articles in Computer Engineering
Purdue Air Sense: A Methodology For Improving The Accuracy Of Ambient Aerosol Mass Concentration And Size Distribution Measurement With Low-Cost Optical Sensing Techniques, Rishabh Ramsisaria, Satya Sundar Patra, Brandon Emil Boor
Purdue Air Sense: A Methodology For Improving The Accuracy Of Ambient Aerosol Mass Concentration And Size Distribution Measurement With Low-Cost Optical Sensing Techniques, Rishabh Ramsisaria, Satya Sundar Patra, Brandon Emil Boor
The Summer Undergraduate Research Fellowship (SURF) Symposium
There is a global lack of a means for monitoring air pollutant levels at a local level due to expensive and bulky instrument requirements. It is important to monitor toxic gas levels, as well as particulate matter levels, in the atmosphere to study their effects on human health and to further develop city- and community-level air pollution solutions. In this study, with the means of a Raspberry Pi, low-cost Alphasense Optical Particle Counter and gas sensors, and methodical calibration techniques, we built a portable 3-D printed module powered by clean electricity generated by an on-board Voltaic solar cell that measures …
Real-Time Non-Contact Road Defect Detection Using Inexpensive Sensors, Zhao Xing Lim, Mohammad Jahanshahi, Tarutal Ghosh Mondal, Da Cheng, Shutao Wang, Mohammad K. Sweidan, Aanis Ahmad, Omar Hesham Abouhussein, Xi Chen
Real-Time Non-Contact Road Defect Detection Using Inexpensive Sensors, Zhao Xing Lim, Mohammad Jahanshahi, Tarutal Ghosh Mondal, Da Cheng, Shutao Wang, Mohammad K. Sweidan, Aanis Ahmad, Omar Hesham Abouhussein, Xi Chen
The Summer Undergraduate Research Fellowship (SURF) Symposium
Road defects such as potholes, humps, and road cracks have become one of the main concerns for road and traffic safety worldwide. Pavement defect detection is crucial to ensure road safety. However, current solutions to this problem are either too time-consuming or too expensive to be employed large-scale. We propose a novel approach which has the ability to autonomously detect potholes in real-time using cost-effective sensors. Inexpensive sensors are mounted on a vehicle and a deep learning algorithm is used to identify road defects. The detection system is paired with a GPS and positional sensors to map the location of …
Development Of A New Nanohub Simulation Tool: Coarse Graining Of Crystalline Nano-Cellulose., Kuo Tian, Mehdi Shishehbor, Pablo Zavattieri
Development Of A New Nanohub Simulation Tool: Coarse Graining Of Crystalline Nano-Cellulose., Kuo Tian, Mehdi Shishehbor, Pablo Zavattieri
The Summer Undergraduate Research Fellowship (SURF) Symposium
Crystalline Nano-cellulose (CNC) is a general molecular structure obtained from acid hydrolysis of native fiber. They are often very short (100 to 1000 manometers) and the mechanical properties of CNC varies depend on length scale. Due to defect formation of the structure, the mechanical properties of the material composed of such CNC may vary drastically. This study was to provide a numerical tool to integrate a few valid modules and to better understand the mechanical properties of CNC and the overall performance of the bio-inspired material composed of CNC. Our focus is mainly on two type of composite structure [1] …