Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Algorithms (1)
- Bioinstrumentation (1)
- Black Phosphorus (1)
- CMOS SOI (1)
- Constant and frequency mapping (1)
-
- Continuously tunable filter and band pass filters (BPFs) (1)
- Copper arsenic antimony sulfide (1)
- Crystal Growth (1)
- Disaster management (1)
- EEG (1)
- Even-/odd-mode method (1)
- FEA (1)
- Filter synthesis (1)
- Frequency dependent coupling (1)
- GNSS Remote Sensing (1)
- Graphical User Interface (1)
- Heat transfer (1)
- High frequency model (1)
- Human behavior (1)
- Inductor (1)
- Instruments (1)
- Interactive (1)
- Ligand exchange (1)
- MEMS oscillator (1)
- MRI (1)
- Meteorological database (1)
- Microwave frequency circuits (1)
- N-type Doping (1)
- NASA (1)
- NSRDB (1)
Articles 1 - 13 of 13
Full-Text Articles in Engineering
Parallel Computation Using Mems Oscillator-Based Computing System, Xinrui Wang, Ilias Bilionis, Salar Safarkhani
Parallel Computation Using Mems Oscillator-Based Computing System, Xinrui Wang, Ilias Bilionis, Salar Safarkhani
The Summer Undergraduate Research Fellowship (SURF) Symposium
In recent years, parallel computing systems such as artificial neural networks (ANNs) have been of great interest. In these systems which emulate the behavior of human brains, the processing is carried out simultaneously. However, it is still a challenging engineering problem to design highly efficient hardware for parallel computing systems. We will study the properties of networks of Microelectromechanical System (MEMS) oscillators to explore their capabilities as parallel computing infrastructure. Furthermore, we simulate the time-variant states of MEMS oscillators network under various initial conditions and performance of certain tasks. Recent theoretical results show that networks of MEMS oscillators have some …
Radcool: A Web-Enabled Simulation Tool For Radiative Cooling, Yu-Wen Lin, Evan L. Schlenker, Zhiguang Zhou, Peter Bermel
Radcool: A Web-Enabled Simulation Tool For Radiative Cooling, Yu-Wen Lin, Evan L. Schlenker, Zhiguang Zhou, Peter Bermel
The Summer Undergraduate Research Fellowship (SURF) Symposium
Thermophotovoltaic (TPV) systems can generate electricity from high-temperature heat sources via thermal radiation. However, the intense heating of a photovoltaic (PV) cell can greatly reduce the overall efficiency of the system. Therefore, it is critical to develop techniques to keep the PV cells close to ambient temperature without consuming energy. Radiative cooling is a passive technique that dissipates heat into remote space via thermal radiation. A simulation tool to predict the performance of radiative cooling systems would be particularly helpful in designing new experiments. The current TPV model simulation tool, TPVexpt, can calculate the theoretical performance of the TPV system. …
Pursuit Evasion With Multiple Pursuers : Capturing A Ground Vehicle On A Road Network With Multiple Drones, Blake Wilson, Shreyas Sundaram, Amritha Prasad
Pursuit Evasion With Multiple Pursuers : Capturing A Ground Vehicle On A Road Network With Multiple Drones, Blake Wilson, Shreyas Sundaram, Amritha Prasad
The Summer Undergraduate Research Fellowship (SURF) Symposium
Unmanned Aerial Vehicles (UAV) have many military and civilian applications, one of which is monitoring a given area (such as a road network) for threats. An important question in this application is to determine the latest time to dispatch UAVs for the guaranteed capture of threats attempting to travel through the network. In this work, we consider a pursuit evasion scenario with multiple pursuers (UAVs) trying to catch a single evader (ground vehicle), where information about the evader’s path is provided by ground sensors. In this scenario, we consider the problem of finding the maximum delay with which the pursuers …
Carbon Removal And Optoelectronic Property Tuning In Copper Arsenic Sulfide Thin Films Through Ligand Exchange And Alloying, Louis R. Schroeder, Scott Mcclary, Rakesh Agrawal
Carbon Removal And Optoelectronic Property Tuning In Copper Arsenic Sulfide Thin Films Through Ligand Exchange And Alloying, Louis R. Schroeder, Scott Mcclary, Rakesh Agrawal
The Summer Undergraduate Research Fellowship (SURF) Symposium
Solution processed thin film solar cells are attractive alternatives to conventional energy sources due to low waste generation, flexibility in substrate choice, and scalability. The novel semiconductor Cu3AsS4 in the enargite phase has a near ideal band gap of 1.4 eV and has earth abundant constituent elements; yet single-junction solar cells have yielded low efficiencies due to a secondary carbonaceous phase present, among other issues. This carbonaceous phase may be eliminated by exchanging the carbonaceous ligands with molecular metal chalcogenides. To characterize the ligand exchanged particles, UV-Vis-NIR spectroscopy, Raman spectroscopy, X-ray diffraction, scanning electron microscopy, energy dispersive X-ray spectroscopy, and …
Improving Methods Of Doping On Black Phosphorus, Yuqin Duan, Adam Charnas, Jingkai Qin, Peide Ye
Improving Methods Of Doping On Black Phosphorus, Yuqin Duan, Adam Charnas, Jingkai Qin, Peide Ye
The Summer Undergraduate Research Fellowship (SURF) Symposium
Black phosphorus (BP) is a 2D semiconducting material with high carrier mobility. It is usually p-type due to oxidation states near its valence band. Although achieved through other growth methods, n-type doping has not yet been accomplished through the modern chemical vapor transport (CVT) growth method. To address this issue, small amounts of tellurium were added to Red Phosphorus to act as a dopant during the CVT growth process in addition to tin(Sn) and tin(IV) iodide, which facilitate growth. The chemicals are heated up to 600°C and precisely cooled in a 21-hour process, during which BP crystals should form. After …
Web-Based Interactive Social Media Visual Analytics, Diego Rodríguez-Baquero, Jiawei Zhang, David S. Ebert, Sorin A. Matei
Web-Based Interactive Social Media Visual Analytics, Diego Rodríguez-Baquero, Jiawei Zhang, David S. Ebert, Sorin A. Matei
The Summer Undergraduate Research Fellowship (SURF) Symposium
Real-time social media platforms enable quick information broadcasting and response during disasters and emergencies. Analyzing the massive amount of generated data to understand the human behavior requires data collection and acquisition, parsing, filtering, augmentation, processing, and representation. Visual analytics approaches allow decision makers to observe trends and abnormalities, correlate them with other variables and gain invaluable insight into these situations. In this paper, we propose a set of visual analytic tools for analyzing and understanding real-time social media data in times of crisis and emergency situations. First, we model the degree of risk of individuals’ movement based on evacuation zones …
Virtual-Source Based Accurate Model For Predicting Noise Behavior At High Frequencies In Nanoscale Pmos Soi Transistors, Vaibhav R. Ramachandran, Saeed Mohammadi, Sutton Hathorn
Virtual-Source Based Accurate Model For Predicting Noise Behavior At High Frequencies In Nanoscale Pmos Soi Transistors, Vaibhav R. Ramachandran, Saeed Mohammadi, Sutton Hathorn
The Summer Undergraduate Research Fellowship (SURF) Symposium
Complementary Metal Oxide Semiconductor (CMOS) technology at the nanometre scale is an excellent platform to implement monolithically integratedsystems because of the low cost of manufacturing and ease of integration. Newly developed CMOS Silicon on Insulator (SOI) transistors that are currentlydeveloped are suitable for use in radio frequency circuits. They find applications in many areas such as 5G telecommunication systems, high speed Wi-Fi andairport body-scanners. Unfortunately, the models for CMOS SOI transistors that are currently used in these circuits are inaccurate because of their complexity.The models currently used require the optimization of more than 200 variables. This paper aims to accurately …
Bifacial Solar Panel Database Interfacepumet: A Tool For Global Meteorological Data Mining For Performance And Reliability Prediction Of Large Scale Solar Farms, Binglin Zhao, Xingshu Sun, Muhammad A. Alam
Bifacial Solar Panel Database Interfacepumet: A Tool For Global Meteorological Data Mining For Performance And Reliability Prediction Of Large Scale Solar Farms, Binglin Zhao, Xingshu Sun, Muhammad A. Alam
The Summer Undergraduate Research Fellowship (SURF) Symposium
Solar energy is one of the top runners among the renewable energy. The design and deployment of solar panels are geographic- and climate-specific to optimize the total energy yield. However, the existing meteorological databases are not accessible to users for direct download and visualization. Hence, we have developed a tool that allows users to download and visualize a variety of global meteorological databases, for instance, the National Solar Radiation Database (NSRDB). Enabled by our tool, both historical and Typical Meteorological Year (TMY) data, such as solar irradiance and ambient temperature, across the entire world in specific time intervals (e.g., hourly …
Thermal Characterization Of Magnetic Components, Jiazhou Zhong, Veda Samhitha Duppalli, Scott D. Sudhoff Professor
Thermal Characterization Of Magnetic Components, Jiazhou Zhong, Veda Samhitha Duppalli, Scott D. Sudhoff Professor
The Summer Undergraduate Research Fellowship (SURF) Symposium
Thermal limits are crucial constraints in the design of power magnetic components. As the power density of magnetic components continues to increase, cooling becomes more critical. Our research focuses on solving for the amount of cooling needed for a particular magnetic component. During the research process, a low-velocity wind tunnel designed and built from the ground up is used to form uniform and controlled conditions for the test components. Thermal Equivalent Circuit (TEC) and parameter identification techniques are used in conjunction to yield temperature distribution results. The expected result is temperature data on various areas of the component under different …
Ocean Wind Speed Measurement Using Wideband Gnss-R Signals, Brandon J. Kozel, Han Zhang, James L. Garrison, Benjamin Nold
Ocean Wind Speed Measurement Using Wideband Gnss-R Signals, Brandon J. Kozel, Han Zhang, James L. Garrison, Benjamin Nold
The Summer Undergraduate Research Fellowship (SURF) Symposium
The use of Global Navigation Satellite System-Reflectometry (GNSS-R) for remote sensing of ocean wind speeds has been explored for nearly two decades and has become an important passive remote sensing technique for verification of hurricane formation models. To obtain wind speed measurements, reflected GNSS signals are first cross-correlated with locally generated copies to construct delay-doppler maps (DDMs). Through statistical models, DDMs can provide information about the mean-square slope (MSS) of the ocean surface, which is related to wind speed. Previous studies have focused on legacy signals such as GPS L1. However, it is expected that the MSS relationship with ocean …
Design A Continuously Tunable Microwave Filter With A Generalized Constant And Frequency Mapping Technique, Josh Shao, Runqi Zhang, Dimitrios Peroulis
Design A Continuously Tunable Microwave Filter With A Generalized Constant And Frequency Mapping Technique, Josh Shao, Runqi Zhang, Dimitrios Peroulis
The Summer Undergraduate Research Fellowship (SURF) Symposium
As the demand for agile and accurate communication increases, the fundamental of communication must be improved to support the needs. Current communication operates on an agreement, that each network company pays government to get licensed a range of frequency on the spectrum, and no others are legally allowed to use. This allows a limited number of users to operates at the same time. As the number of users increase, the spectrum become congested and user experience problem like dropping call. This problem can be solved, if users can be shifted between different licensed frequencies, depending on the capacity of the …
Using P-Band Signals Of Opportunity Radio Waves For Root Zone Soil Moisture Remote Sensing, Phillip H. Lipinski, Benjamin R. Nold, James L. Garrison
Using P-Band Signals Of Opportunity Radio Waves For Root Zone Soil Moisture Remote Sensing, Phillip H. Lipinski, Benjamin R. Nold, James L. Garrison
The Summer Undergraduate Research Fellowship (SURF) Symposium
Retrieval of Root Zone Soil Moisture (RZSM) is important for understanding the carbon cycle for use in climate change research as well as meteorology, hydrology, and precision agriculture studies. A current method of remote sensing, GNSS-R uses GPS signals to measure soil moisture content and vegetation biomass, but it is limited to 3-5 cm of soil penetration depth. Signals of Opportunity (SoOp) has emerged as an extension of GNSS-R remote sensing using communication signals. P-band communication signals (370 MHz) will be studied as an improved method of remote sensing of RZSM. P-band offers numerous advantages over GNSS-R, including stronger signal …
Gui For Mri-Compatible Neural Stimulator And Recorder, Soo Han Soon, Nishant Babaria, Ranajay Mandal, Zhongming Liu
Gui For Mri-Compatible Neural Stimulator And Recorder, Soo Han Soon, Nishant Babaria, Ranajay Mandal, Zhongming Liu
The Summer Undergraduate Research Fellowship (SURF) Symposium
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are useful tools to analyze brain activities given active stimulation. However, the electromagnetic noise from the MRI distorts the brain signal recording and damages the subject with excessive heat generated on the electrodes attached to the skin. MRI-compatible recording and stimulation systems previously developed at LIBI lab were capable of removing the electromagnetic noise during the imaging process. Previously, the hardware systems had required the integrative software that could control both circuits simultaneously and enable users to easily change recording and stimulation parameters. Graphical user interface (GUI) programmed with computer language informed …