Papers – Page 10 – TechConnect Briefs

Using Robotics to Assemble Graphene Supercapacitor

Wu C., Wu S., Kim J., Magluyan D., Kawamoto-Kindred D., Zhou Y.H., Cao N., Zhao H., Kuang Z., Kidd T., Wu C., Wu S., Dobbs S., California State Polytechnic University, Pomona, US

Robotics is a field that seeks to use more precise and accurate mechanical manipulation to improve the speed, efficiency, and safety of certain tasks where human actions would be more of a liability than a [...]

Machine Learning Based Detection and Deep Learning Based Image Inpainting of Preparation Artefacts in Micrographs

Jansche A., Choudhary A.K., Bernthaler T., Schneider G., Aalen University, DE

Artefacts like stains or scratches introduced during the metallographic sample preparation process are a problem for manual as well as automatic image analysis. We show the use of image inpainting – normally used for reconstruction [...]

Machine Learning for Microstructures Classification in Functional Materials

Choudhary A.K., Jansche A., Grubesa T., Bernthaler T., Schneider G., Aalen University, DE

The search for novel magnetic phases requires efficient quantitative microstructure analysis to extract microstructural information and to correlate it with its intrinsic magnetic parameters. Kerr micrographs of magnets hold vital information for analysing the distribution [...]

Preventing Elderly Falling Through Machine Learning

Hardigan P., Nova Southeastern University, US

Using a machine-learning approach, we created, tested, and patented an algorithm that accurately predicts elderly falling. Additionally, using the algorithm our research in a community-based environment we demonstrated the ability to prevent injurious falls. Our [...]

Gamma-Ray Raster Imaging with Robotic Data Collection

Aucott T., Wells W., Siddiqi M., Savannah River National Laboratory, US

Currently, in order to create gamma-ray images, some form of collimation is required. The foremost imaging techniques either require physical collimation (such as the heavy shielding required for a pinhole imager) or restrictive algorithms (such [...]

Machine Learning for Automated Hepatic Fat Quantification

Sagreiya H., Akhbardeh A., Durot I., Rubin D.L., University of Pennsylvania, US

Nonalcoholic fatty liver disease is a global pandemic. This study investigated whether ultrasound point shear wave elastography measurements could predict hepatic fat quantification using a machine larning (ML) algorithm trained with fat quantification on MRI. [...]

Quantum Chemical Methods to Elucidate the Mechanism of a Diastereoselective Insertion-Addition Reaction of a Chiral Titanium (IV)-Schiff Base-Benzyl Complex with Hydroxyketones

Ramos B., Castriciones E.V., University of the Philippines, PH

We present our preliminary results on the quantum chemical studies carried out to elucidate the diastereoselective insertion-addition reaction of a chiral titanium(IV)-Schiff base-benzyl complex (I) with hydroxyketones (II) to form the diastereoselective insertion product (III) [...]

Phase Change Materials for Applications in Building Thermal Energy Storage

Habib M.A., Rahman M.M., Wichita State University, US

Phase change materials (PCMs) have excellent thermal energy storage (TES) potential to provide thermal comfort in buildings by lowering the cooling and heating energy demands. The primary grid benefit of thermal energy storage is load [...]

Research and Application of Polymeric Gel Dam Technology to Control Water Channeling in Horizontal Wells of Tight Fractured Sandstone Reservoir

Yang H., Wei K., Qiu X., Zhou C.C., University of Wyoming, US

To address the challenge of water channeling in water flooding of Honghe oilfield, a tight fractured sandstone reservoir characterized by extensive fractures, experimental study on polymeric gel and field trial of constructing a polymeric gel [...]

Processing of Polypropylene by Material Extrusion Additive Manufacturing

Gonzalez-Gutierrez J., Spoerk M., Holzer C., Luxembourg Institute of Science and Technology (LIST), LU

Material extrusion additive manufacturing, also known as fused deposition modeling (FDMTM) or fused filament fabrication (FFF), is one of the simplest and most economical additive manufacturing technologies. The feedstocks used in FFF are filaments, and [...]