Houngkamhang, Nongluck
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Preferred name
Houngkamhang, Nongluck
Main Affiliation
Email
nongluck.ho@kmitl.ac.th
12 results
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Item type:Publication, Conjugation of antibody on gold nanoparticles for biosensors application(2020-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Feasibility of Prediction Model for Internal Tumor Target Volume from 4-D Computed Tomography of Lung cancer(2021-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Synthesis of Zeolite Y from Kaolin via hydrothermal method(2019-01-01); ZeoliteY has been successfully synthesized via a two-step hydrothermal method with kaolin from Lampang province as a precursor. For the first hydrothermal, kaolin with an addition of sodium silicate (NaSi<inf>3</inf>O<inf>7</inf>) or tetraethyl orthosilicate (TEOS) was mixed with sodium hydroxide (NaOH) and autoclaved for 200<sup>o</sup>C at different reaction times for 6, 8 and 10 h, respectively. Sodium hydroxide and hydrochloric acid were added into the compound mixture to adjust its pH before it was formed into gel. After a second time hydrothermal at 90°C for 2 days, the solid product was filtered out, washed by deionized water and dried overnight. The zeolite was then characterized by X-ray diffraction spectroscopy (XRD) to identify type and crystallization, scanning electron microscopy (SEM) for morphology, Fourier transform infrared spectroscopy (FTIR) to identify its functional group and N<inf>2</inf> adsorption to study the adsorption/desorption isotherm and pore distribution. From N<inf>2</inf> adsorption-desorption isotherm, it is revealed that the zeolite obtained by this method have 571 m<sup>2</sup>/g surface area and pore size distribution around 4.89 nm. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Study on detection of carbaryl pesticides by using surface-enhance raman spectroscopy(2020-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Zeolite P from kaolin via hydrothermal method(2018-09-05); ; Chollacoop, NuwongZeolite P has been successfully synthesized from natural kaolin via two step hydrothermal process. The natural kaolin from Lampang, Thailand was studied for this research. In first hydrothermal, kaolin was mixed with sodium hydroxide solution at 200 <sup>o</sup>C for different reaction times from 3 - 5 hours, respectively.Sodium hydroxide and hydrochloric acid were added into the mixture to adjust their pH before they were formed into gel. Second hydrothermal process, the gel was kept of 90 <sup>o</sup>C for 3 days to obtain zeolite P. Synthesized zeolite P was characterized by X-ray diffraction (XRD) for identification the type and crystallization. Besides, the morphology was characterized by scanning electron microscopy)SEM.(The functional group was characterized by Fourier-transform infrared spectroscopy (FTIR). From this study, it was found that the increasing of reaction time in first hydrothermal activation and hydrochloric acid concentration lead to the high quality of zeolite P. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Breast Cancer Detection using IR-UWB with Deep Learning(2021-01-01); This paper proposes breast cancer positioning detection using the IR-UWB system with deep learning, which is an interesting alternative method. When compared to ultrasound, x-ray mammogram, and CT-scan, there are several advantages to using IR-UWB, including low cost, less energy required, less long-term effect, portability, and providing much more breast cancer screening access for patients. Nowadays, the IR-UWB system has many techniques for processing IR-UWB signals, and one of the most interesting technique is using deep learning. In this study, we collected data from nine IR-UWB antennas. Then, the prepared data is fed through Deep Neural Networks to find the hidden patterns of signal and predict the cancer position which are 16 of breast cancer positions and one of undetected, also known as 17 classes. The model gave an average accuracy up to 95.60%. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Rapid detection of cypermethrin by using surface-enhanced raman scattering technique(2020-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Gold nanorod-optical fiber for sensing biomolecular interaction(2020-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Extended-gate field effect transistor (EGFET) for carbaryl pesticide detection based on enzyme inhibition assay(2017-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Deep Learning-Based Human Recognition Through the Wall using UWB radar(2021-01-01); Human activity detection in obscured or invisible area, for instance, human detection through the wall has become an interesting topic because it has potential for security, rescue, activity analysis application, etc. UWB radar, a detection system produces short radio frequency pulses and measures the reflected signals which UWB pulses have high spatial resolution and enable penetration in dielectric materials, was used to collect human activity through the wall signals at the frequency range of 3 GHz in this research. Subsequently, we applied signal data with the Deep Neural Network model to classify 5 classes of human activity including standing, walking, sitting, laying, and no-human gave the F1 score up to 96.94%.