A5069716082- Advanced MEMS and NEMS Technologies
- Analytical Chemistry and Sensors
- Mechanical and Optical Resonators
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Advancements in Battery Materials
- Energy Efficient Wireless Sensor Networks
- Advanced Sensor and Energy Harvesting Materials
- Energy Harvesting in Wireless Networks
- Radiation Effects in Electronics
- IoT and Edge/Fog Computing
- Protein purification and stability
- Smart Agriculture and AI
- Water Quality Monitoring Technologies
- Advanced Surface Polishing Techniques
- Gas Dynamics and Kinetic Theory
- IoT Networks and Protocols
- Radiation Detection and Scintillator Technologies
- Anomaly Detection Techniques and Applications
- Gas Sensing Nanomaterials and Sensors
- Microfluidic and Capillary Electrophoresis Applications
- Advanced biosensing and bioanalysis techniques
- Soil Moisture and Remote Sensing
- Food Supply Chain Traceability
- Mass Spectrometry Techniques and Applications
Purdue University West Lafayette
2013-2023
State Street (United States)
2021
University of Connecticut
2015-2016
Precision Agriculture (PA) is an integral component of the contemporary agricultural revolution that focuses on enhancing food productivity in proportion to increasing global population while minimizing resource waste. While recent advancements PA, such as integration IoT (Internet Things) sensors, have significantly improved surveillance field conditions achieve high yields, presence batteries and electronic chips makes them expensive non-biodegradable. To address these limitations, for...
Superhydrophobic surfaces are biomimetic structures with potential applications in several key technological areas. In the past decade, top-down and bottom-up fabrication methods have been developed to create such surfaces. These typically combine a hierarchical structure low surface energy coatings increase contact angle decrease rolling angles. Silicon-based superhydrophobic particularly attractive since they can be integrated active electronics order protect them from detrimental effects...
Smart manufacturing systems are considered the next generation of applications. One important goal smart system is to rapidly detect and anticipate failures reduce maintenance cost minimize machine downtime. This often boils down detecting anomalies within sensor data acquired from which has different characteristics with respect operating point environment or machines, such as, RPM motor. In this paper, we analyze four datasets sensors deployed in testbeds. We level defect for each...
Inefficient soil management is a hindrance to food productivity and contributing factor the degradation of quality. Despite decades research confirming benefits using sensors in effective crop yield, they are still not widely used farms for several reasons including high cost, difficulty large area deployment, requirement labor-intensive wiring. In this paper, we report low-cost battery-less chipless wireless sensor tag that can be batch-manufactured large-scale agricultural surveillance....
Originally developed for use in controlled laboratory settings, potentiometric ion-selective electrode (ISE) sensors have recently been deployed continuous, situ measurement of analyte concentration agricultural (e.g., nitrate), environmental ocean acidification), industrial wastewater), and health-care sectors sweat sensors). However, due to uncontrolled temperature lack frequent calibration these field applications, it has difficult achieve accuracy comparable the setting. In this paper,...
Decades of continuous scaling has reduced the energy unit computing to virtually zero, while energy-efficient communication remained primary bottleneck in achieving fully energy-autonomous Internet-of-Things (IoT) nodes. This article presents and analyzes tradeoffs between energies required for computation a wireless sensor network, deployed mesh architecture over 2400-acre university campus, is targeted toward multisensor measurement temperature, humidity water nitrate concentration smart...
The recent advancement of the Internet Things (IoT) enables possibility data collection from diverse environments using IoT devices. However, despite rapid low-power communication technologies, deployment networks still faces many challenges. In this paper, we propose a hybrid, low-power, wide-area network (LPWAN) structure that can achieve coverage and low power consumption on devices by utilizing both sub-GHz long-range radio 2.4 GHz short-range radio. Specifically, constructed mesh with...
Smart Farming represents the application of modern IoT networks into agriculture, leading to what can be called a Third Green Revolution. This paper describes fully customized hardware platform, with novel network structure enabled by LoRa and ANT radios, that aims for low-cost, low power long range wireless sensor smart farming. The hybrid was demonstrated in Lab portion tested deploying four modules across an agricultural site, data collected over six months period. integrating fabricated...
Abstract Monitoring product temperature during lyophilization is critical, especially the process development stage, as final may be jeopardized if its exceeds a threshold value. Also, in-situ monitoring of gives capability creating an optimized closed-loop process. While conventional thermocouples can track temperature, they are invasive, limited to single-point measurement, and significantly alter freezing drying behavior in monitored vial. This work has developed new methodology that...
In this work, we demonstrate a low-cost and flexible solid-state ISE (ion selective electrode) using inkjet-printing for in-field nitrate detection. Three types ISEs of 25, 50, 140 μm thick ISM membrane) are fabricated characterized. The exhibit thickness dependent conditioning stability that thicker leads to longer but smaller drift; the converse is true. Whereas, all present 50-52 mv/dec sensitivity in wide range 0.0001M 0.1M ~95% accuracy soil analytical characterizations establish...
In this paper, we discuss the battery health degradation and optimal life management. As first contribution of how manifests itself as capacity fading due to repeated charging discharging cycles. We present two models, namely, LAR-αβγ CVD (control variable-dependent) regression for fade modeling, which are characterized functions number cycles charge control parameters, viz., maximum terminal voltage current. The development these models is based on curve-fitting data from copious aging...
In this paper, we present a closed-form solution to the problem of optimally charging Li-ion battery. The objective function is considered as combination two cost functions: time-to-charge (TTC) and energy losses (EL). For case where TTC EL, optimal strategy Constant Current-Constant Voltage (CC-CV) policy with value current in CC stage being ratio weighting on EL resistance weighted sum TTC, temperature rise index (TRI) also an analytical for derived. This can be approximated by CC-CV...
IoT systems have been facing increasingly sophisticated technical problems due to the growing complexity of these and their fast deployment practices. Consequently, managers judiciously detect failures (anomalies) in order reduce cyber risk operational cost. While there is a rich literature on anomaly detection many IoT-based systems, no existing work that documents use ML models for digital agriculture smart manufacturing systems. These two application domains pose certain salient...
The inkjet printing of metal electrodes on polymer films is a desirable manufacturing process due to its simplicity but limited by the lack thermal stability and serious delaminating flaws in various aqueous organic solutions. Kapton, adopted worldwide superior durability, allows high-temperature sintering nanoparticle-based inks. By carefully selecting inks (Ag Au) Kapton substrates (Kapton HN with thickness 135 μm resistance up 400 °C) optimal parameters simplified post-treatments...
This paper introduces and experimentally validates a new model for near-contact gas damping of microbeams. The is formulated based on numerical simulations rarefied dynamics using the Boltzmann Ellipsoidal Statistical Bhatnagar-Gross-Krook (ES-BGK) equation. result compared with existing models by simulating motion beams under high-g acceleration. To validate models, single crystal silicon MEMS g-switches cantilever microbeams various lengths were utilized. experimental measurements beam...
This work presents the design, fabrication, and characterization of a wireless, low-power, multi-point temperature sensor system for process monitoring applications. is particularly useful low-temperature applications commonly found in pharmaceutical food processing plants where accurate over long time intervals (e.g. days) necessary. Using capacitive elements, wireless three-point measurement liquid has been successfully demonstrated. The tested down to 55°C achieves resolution <;0.01°C....
This work presents the first experimental study on effectiveness of single-crystal silicon (SCS) cantilever arrays as contact-based high-G sensors in digital MEMS accelerometers. Unlike conventional designs, a scheme is employed where detection specific acceleration level associated with group cantilevers, which deflect and make solid-to-solid contacts substrate. especially useful applications rapidly changing profile needs to be detected high confidence level. The proposed designs have been...
This work presents the design and evaluation of a fully wireless, multi-point temperature sensor system as Process Analytical Technology (PAT) for lyophilization. Each contains seven sensing elements which measure product at various positions contents glass vial. The performance was studied by freeze-drying experiments with placement in both center edge full shelf 6R vials 4ml fill volume. Product profile primary drying time measured bottom position vial wireless well are close comparison...
Presented is a low-power wireless ionizing radiation monitoring circuit intended to be worn for occupational dosimetry. The sensor element custom MOS capacitor which traps holes in proportion the amount of detected, thus permanently causing lateral shift CV-curve (toward more negative threshold voltage). measures capacitance value several redundant sensors at given voltage depletion region, records this over time and occasionally transmits stored values base station. 32 mm × 46 utilizes...
Presented is the first accumulating capacitive radiation sensor for low-dose, long-term exposures observed in occupational dosimetry. The sensor's capacitance-voltage curve undergoes a semi-permanent negative shift due to ionizing radiation. By measuring change capacitance at given voltage depletion region, that has been present on can be extracted. In order achieve low dose resolution required (less than 100 μGy) dosimetry, parameters such as oxide thickness and annealing conditions are...
This paper presents an ultra low-power battery-free, wireless, multi-point temperature sensor for vacuum and cryogenic applications. is applicable to low-temperature industrial processes such as lyophilisation (i.e. freeze-drying) where accurate monitoring over long durations necessary. The developed sensors are wirelessly powered using a 915 MHz RF source. utilize low power 2.4 GHz ANT communication protocols operate in shared channel topology accommodating ~ 2 <sup...
Presented is a hybrid, networked, wireless humidity sensing circuit. The sensor element flexible, interdigitated-electrode capacitor that inkjet-printed on PET substrate. variations in capacitance due to the changes are measured through small (approx. 4 cm × 3 cm), low-power, readout circuit which transmits measurement wirelessly basestation. transmission realized ANT, network protocol using ISM band at 2.4 GHz. output visualized real-time basestation's software while all networked sensors...