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University Technology Exposure Program 2022 invited student researchers to submit articles on their innovative projects and ideas. It’s time to announce the winner of the event who wins a prize of $5,000.

Announcing the Winner of the University Technology Exposure Program 2022

Flightmare is an open-source simulator for quadrotors that moves away from rigid paradigms and proposes a flexible modular structure that empowers the users or automated algorithms to fine-tune the simulator to the task at hand.

Flightmare: A Flexible Quadrotor Simulator

The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.

Human Behavior Identification and Recognition System

This student article explains a dynamic model developed based on modified Hill’s model using MATLAB, which can predict biomethane production with time series.

Dynamic simulation and optimization of anaerobic digestion processes using MATLAB

This student article shows the synergetic effects of a furfuryl polymer coating and subsequent calcination leading to improved electrochemical performance of nickel-rich NMC622.

High-Performance Amorphous Carbon Coated Lithium-Nickel-Manganese-Cobalt-Oxide (NMC622) Cathode Material with Improved Capacity Retention for Lithium-Ion Batteries

This student article explains the concept of Bladeless Wind Turbine wind power plants that can work optimally in areas with low wind speeds (3 to 8 m/s). We explore how the design can be optimized further to work at places with even lower wind availability.

Optimization of Mechanical Design Bladeless Wind Turbine for Electricity Fulfillment in Nusa Tenggara Timur, Indonesia

A student article showcasing an Android application called DOT-HAZMAT based on Machine Learning and Computer Vision that locates and categorizes HAZMAT placards in perilous rescue operations.

DOT-HAZMAT: An Android application for  detection of hazardous materials (HAZMAT)

The current advancement in multi-material additive manufacturing technologies has provided unique opportunities to create 3D printed structures with not only complex geometries at several length scales, but arbitrary deposition of multiple materials (i.e., soft or hard) in 3D space.

Artificial Intelligence Assisted Architected Materials in Additive Manufacturing

This student article explains Precise Political Event Detection using Spatio-Temporal Analysis (PPED-STA) Schemes proposed by political event mapping through the extraction of data from the archives of web news.

Spatio-Temporal Analysis of Archived Web News for Precise Political Event Detection and Impact Analysis in India's Southern States

Taking advantage of low-cost, high-resolution desktop resin 3D printers combined with PDMS soft-lithography we have developed an optimised microfabrication pipeline capable of generating a wide variety of customisable devices for cell culture and tissue engineering in an easy, fast reproducible way

Combining SLA 3D printing and soft lithography for fast, versatile, and accessible high-resolution fabrication of customised multiscale cell culture devices with complex designs

The inertial navigation system is a basic component of obtaining a continuous navigation solution in various applications. The system suffers from a growing error over time. This article proposes a machine-learning-based adaptive neuro-fuzzy inference system to improve navigation performance.

A Machine Learning Approach for an Improved Inertial Navigation System Solution

Most conventional educational structural health monitoring systems use sensors to determine the dynamic response of the structure. The proposed tool is based on a radically different approach based on low-cost image processing.

New Image Recognition Technique for Intuitive Understanding in Class of the Dynamic Response of High-Rise Buildings

Food processing techniques require the removal of moisture from the crop without destroying its nutritional qualities. The article proposes a dehydrator/oven whose temperature and humidity can be perfectly controlled and its generated heat is evenly distributed in its drying chamber.

Conceptual design of smart multi-farm produce dehydrator using a low-cost PLC and Raspberry Pi

As the University Technology Exposure Program 2022 enters its final month, we continue to receive submissions spanning different domains of technology. Submissions published in June included articles related to healthcare, electric vehicles, data analytics, smart cities, and smart manufacturing.

University Technology Exposure Program 2022: June Update

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