Publications by authors named "I C Nam"
A transmissive single-shot spectrometer has been developed to monitor shot-to-shot spectral structures in the hard X-ray beamline of the Pohang Accelerator Laboratory X-ray Free Electron Laser (PAL-XFEL). The established spectrometer comprises 10 µm-thick Si crystals bent to a radius of curvature of 100 mm. Depending on the photon energy range, either the Si (111) or Si (110) crystal can be selected for spectral analysis.
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- * Using controlled experiments, researchers tested egg samples at various constant and fluctuating temperatures to model bacterial growth characteristics and the impact of temperature changes.
- * The findings highlight the importance of strict temperature control to prevent foodborne illnesses and propose a new predictive model and temperature management technologies to enhance food safety in the egg industry.
This study investigates the mechanical and piezoresistive sensing properties of recycled carbon-fiber-reinforced polymer composites (rCFRPs) for self-sensing applications, which were prepared from recycled carbon fibers (rCFs) with fiber lengths of 6, 12, 18, and 24 mm using a vacuum infusion method. Mechanical properties of the rCFRPs were examined using uniaxial tensile tests, while sensing characteristics were examined by monitoring the in situ electrical resistance under cyclic and low fatigue loads. Longer fibers (24 mm) showed the superior tensile strength (92.
View Article and Find Full Text PDFThis study explored the use of waste from the textile industry (silkworm byproducts) as a promising raw feedstock for the production of carbon-based adsorbents (biochar). The silk excreta biochar generated at 600 and 700 °C (referred to as SEB-600 and SEB-700, respectively) were evaluated in terms of their efficacy in adsorbing cationic (methylene blue) and anionic (Congo red) textile dyes. Although the functional groups on the surfaces of SEB-600 and SEB-700 were not significantly different, the specific surface area of SEB-700 was greater than that of SEB-600.
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- The study focused on creating an AI algorithm that automatically detects and evaluates the positioning of chest percutaneous catheter drainage (PCD) on chest X-rays.
- It involved analyzing 1,217 chest radiographs from 960 patients, categorizing them as properly or malpositioned catheters, and training the model on a subset of these images.
- The AI model showed strong performance with an accuracy of 88%, and was able to help in the diagnosis and early detection of catheter placement issues for radiologists and clinicians.