blog posts

Flightmare: A Flexible Quadrotor Simulator

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.

Human Behavior Identification and Recognition System

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.

Dynamic simulation and optimization of anaerobic digestion processes using MATLAB

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

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

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

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

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.

Rapid protocols to support Covid-19 clinical diagnosis based on hematological parameters

This student article proposes rapid protocols for clinical diagnosis of COVID-19 through the automatic analysis of hematological parameters using Evolutionary Computing and Machine Learning. These hematological parameters are obtained from blood tests common in clinical practice.

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

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.

Artificial Intelligence Assisted Architected Materials in Additive Manufacturing

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.

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

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

A Machine Learning Approach for an Improved Inertial Navigation System Solution

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.

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

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.

University Technology Exposure Program 2022: June Update

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.

Adopting Lean Manufacturing Principles and Learning Factory Concepts for Productivity Optimization

The study is about the transformation of the manual assembly process of medical test kits by integrating the learning factory and digital twin. Lean manufacturing principles and lean thinking are introduced to revamp value-added activities; reduce waste and level-load human utilization.

Investigating the carbon implications of AM-enabled distributed production of spare parts in the automotive industry

A student write-up that tries to compare the environmental impact and complexity of manufacturing automobile parts through conventional methods and modern distributed manufacturing techniques like 3D printing.

A Novel Decision Support System for Optimizing Aircraft Maintenance Check Schedule and Task Allocation

Student article showcasing a software prototype for improving aircraft maintenance planning using a novel decision support system.