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| WoS | SCOPUS | Document Type | Document Title | Abstract | Authors | Affiliation | ResearcherID (WoS) | AuthorsID (SCOPUS) | Author Email(s) | Journal Name | JCR Abbreviation | ISSN | eISSN | Volume | Issue | WoS Edition | WoS Category | JCR Year | IF | JCR (%) | FWCI | FWCI Update Date | WoS Citation | SCOPUS Citation | Keywords (WoS) | KeywordsPlus (WoS) | Keywords (SCOPUS) | KeywordsPlus (SCOPUS) | Language | Publication Stage | Publication Year | Publication Date | DOI | JCR Link | DOI Link | WOS Link | SCOPUS Link |
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| ○ | ○ | Article | A comparative study of microwave assisted and conventional melting techniques to glass properties | The present work focuses on the investigation of the properties of 33TeO2: 2 : 30B2O3: 2 O 3 : 30ZnO: 5BaO: 2Eu2O3 2 O 3 glass prepared using microwave and conventional techniques. The prepared glasses were characterized by TGA/DSC analysis, density, refractive index, FTIR, XPS, absorption spectra, photoluminescence, lifetime, quantum efficiency, and X-ray-induced luminescence properties. The photoluminescence of the samples exhibited the strongest luminescence intensity of the Eu3+ 3+ ion at 614 nm (7F2) 7 F 2 ) under 394 nm excitation, resulting in a relatively high photoluminescence quantum yield of 39.64%. The luminescence decay time from the 5 D 0 to 7 F 2 level of glass prepared by the microwave technique is lower than that of a sample prepared by the conventional technique, with a luminescence decay time of 1.269 and 1.425 ms, respectively. X-ray-excited luminescence spectroscopy identified an emission peak at 614 nm in the samples, which can be attributed to 5 D 0-7F2 7 F 2 transitions in the Eu3+ 3+ ion. These high-intensity samples were compared with bismuth germanate oxide (BGO) crystals used in radiation detection applications. From the various results examined, it is clear that the 33TeO2: 2 : 30B2O3: 2 O 3 : 30ZnO: 5BaO: 2Eu2O3 2 O 3 glass prepared using the microwave technique is suitable for use as a scintillation material. | Wongwan, W.; Yasaka, P.; Boonin, K.; Khondara, S.; Kim, H. J.; Kothan, S.; Chanlek, N.; Kanjanaboos, P.; Phuphathanaphong, N.; Sareein, T.; Sangwaranatee, N.; Kaewkhao, J. | Nakhon Pathom Rajabhat Univ, Ctr Excellence Glass Technol & Mat Sci CEGM, Nakhon Pathom 73000, Thailand; Nakhon Pathom Rajabhat Univ, Fac Sci & Technol, Phys Program, Nakhon Pathom 73000, Thailand; Thepsatri Rajabhat Univ, Fac Sci & Technol, Phys Program, Lopburi 15000, Thailand; Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea; Chiang Mai Univ, Fac Associated Med Sci, Ctr Radiat Res & Med Imaging, Dept Radiol Technol, Chiang Mai 50200, Thailand; Synchrotron Light Res Inst, 111 Univ Ave, Nakhon Ratchasima 30000, Thailand; Mahidol Univ, Fac Sci, Sch Mat Sci & Innovat, Nakhon Pathom 73170, Thailand; Rajamangala Univ Technol, Fac Sci & Technol, Div Ind Mat Sci, Phra Nakhon 10800, Thailand; Suan Sunandha Rajabhat Univ, Fac Sci & Technol, Appl Phys, Bangkok, Thailand | Sareein, Thanapong/AAB-2979-2022; Boonin, Kitipun/HKF-7350-2023; Kim, Hong Joo/AAE-1178-2022 | 57211322480; 55867570800; 35361494500; 59225555300; 59051568100; 6507017165; 24775167600; 36521096600; 58478665700; 25822754600; 56006518500; 23974520300 | pyasaka@hotmail.com;suchart.kothan@cmu.ac.th; | RADIATION PHYSICS AND CHEMISTRY | RADIAT PHYS CHEM | 0969-806X | 1879-0895 | 224 | SCIE | CHEMISTRY, PHYSICAL;NUCLEAR SCIENCE & TECHNOLOGY;PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | 2024 | 3.3 | 6.1 | 0 | 2025-05-07 | 1 | 3 | Glass; Microwave synthesis technique; Tellurite glasses; Luminescence; Europium | OPTICAL-PROPERTIES; LUMINESCENCE CHARACTERISTICS; BORATE GLASSES; UP-CONVERSION; EU3+; LASER; IONS | Europium; Glass; Luminescence; Microwave synthesis technique; Tellurite glasses | Barium compounds; Bismuth compounds; Europium; Europium compounds; Fourier transform infrared spectroscopy; Photoluminescence; Refractive index; Tellurium compounds; glass; Comparatives studies; Conventional techniques; Luminescence decay time; Melting techniques; Microwave synthesis; Microwave synthesis technique; Microwave technique; Microwave-assisted; Synthesis techniques; Tellurite glass; absorption spectroscopy; analytic method; Article; comparative study; crystallization; density; differential scanning calorimetry; energy dispersive X ray spectroscopy; Fourier transform infrared spectroscopy; infrared spectroscopy; light absorption; luminescence; melting point; microwave radiation; minimum inhibitory concentration; photoluminescence; radiation detection; Raman spectrometry; refraction index; scintillation; signal noise ratio; spectroscopy; thermal analysis; thermography; volatilization; X ray; X ray diffraction; Glass | English | 2024 | 2024-11 | 10.1016/j.radphyschem.2024.112011 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Analyzing the inspiratory airflow unsteadiness in the respiratory tract using dynamic mode decomposition method | To enhance the understanding of airflow characteristics in the human respiratory tract, the inspiratory airflow field was simulated under both tidal and quasi-steady inspiratory flow rates at the mouth inlet using the large eddy simulation method. Special attention was paid on analyzing the inspiratory airflow unsteadiness using the dynamics mode decomposition (DMD) method based on the vorticity field and comparing it with the proper orthogonal decomposition (POD) method. The following novel findings were obtained. (1) Power spectral density indicates that the inspiratory airflow is highly turbulent in the pharynx-larynx region. The vorticity field in the upper airway is more affected by inspiratory patterns compared to turbulence fluctuations. (2) The DMD results indicate that the shear flow in the pharynx-larynx region is mainly caused by flow under low-frequency modes, while the disturbances of the jet flow are caused by flow under multiple frequency modes. Steady-state inspiratory pattern demonstrates the decay characteristics different from the tidal inspiratory pattern. (3) Compared to the POD method, which may contain multiple frequency components, the DMD decomposition yields modes with a single frequency, enabling a more accurate capture of the frequency and decay characteristics of the respiratory flow under each mode. In conclusion, this study demonstrates that the DMD method is more suitable for studying the respiratory airflow unsteadiness and further confirms the necessity of adopting clinically measured inspiratory data to investigate airflow unsteadiness. | Jing, Hao; Wang, Yixiao; Wang, Li; Choi, Sanghun; Xi, Zhaojun; Cui, Xinguang | Huazhong Univ Sci & Technol, Sch Aerosp Engn, Wuhan 430074, Peoples R China; Huazhong Univ Sci & Technol, China EU Inst Clean & Renewable Energy, Wuhan 430074, Peoples R China; Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China; Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea | ; Choi, Sanghun/AGS-7430-2022 | 57222810520; 59368089800; 57196340157; 55847101000; 57214328092; 50261346800 | xinguang_cui@mail.hust.edu.cn;xizhaojun@hust.edu.cn; | PHYSICS OF FLUIDS | PHYS FLUIDS | 1070-6631 | 1089-7666 | 36 | 10 | SCIE | MECHANICS;PHYSICS, FLUIDS & PLASMAS | 2024 | 4.3 | 6.1 | 0 | 2025-05-07 | 0 | 0 | PARTICLE DEPOSITION; CONVERGENCE | Flow patterns; Gas turbines; Large eddy simulation; Respirators; Airflow characteristics; Decay characteristics; Dynamic mode decompositions; Human respiratory tract; Inspiratory airflow; Mode decomposition method; Multiple frequency; Proper-orthogonal-decomposition method; Respiratory tract; Vorticity field; Vorticity | English | 2024 | 2024-10 | 10.1063/5.0230603 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Application of Sm3+doped Gd2O3-Y2O3-ZnO-B2O3 glass for development of X-ray imaging scintillator | The X-ray scintillator materials are mostly made from single crystal. The limitations are high productive cost, and the process of producing is complex. There are numerous studies about developing new scintillators by using glass that are easier preparation and lower cost. This study tries to produce a new series of borate glass doped with Sm3+ 3 + in 20Gd2O3:10Y2O3:10ZnO: 2 O 3 :10Y 2 O 3 :10ZnO: (60-x)B2O3:xSm2O3 2 O 3 :xSm 2 O 3 formula with varying concentrations of Sm2O3. 2 O 3 . The samples were measured and analyzed by physical, optical, luminescence and scintillation properties. The results showed that the density increased after increasing the Sm2O3 2 O 3 concentration. The strong emission intensity was observed from photoluminescence and radioluminescence measurements, and the concentration quenching was observed at 0.5 and 1.0 mol% of Sm2O3 2 O 3 respectively. The strongest emission peak of Sm3+ 3 + ion is located at 600 nm that corresponds to f-f transition of 4G5/2 G 5/2 to 6H7/2 H 7/2 level. Moreover, we found that the Sm3+ 3 + luminescence at 600 nm emission wavelength increases (up to 0.5% mol), while the Gd3+ 3 + emission wavelength at 313 nm decreases, attributed to the energy transfer (ET) from Gd3+ 3 + ions to Sm3+ 3 + ions. X-ray imaging was also observed by using Synchrotron X-rays. These results suggest that the developed glasses could be applied to X-ray scintillators material, especially imaging applications. | Supawat, B.; Tungjai, M.; Wantana, N.; Kirdsiri, K.; Pakawanit, P.; Phoovasawat, C.; Kanjanaboos, P.; Phuphathanaphong, N.; Intachai, N.; Kothan, S.; Kim, H. J.; Kaewkhao, J. | Chiang Mai Univ, Fac Associated Med Sci, Ctr Radiat Res & Med Imaging, Dept Radiol Technol, Chiang Mai 50200, Thailand; Nakhon Pathom Rajabhat Univ, Ctr Excellence Glass Technol & Mat Sci CEGM, Nakhon Pathom 73000, Thailand; Nakhon Pathom Rajabhat Univ, Fac Sci & Technol, Phys Program, Nakhon Pathom 73000, Thailand; Synchrotron Light Res Inst, Synchrotron Res & Applicat Div, 111 Univ Ave, Nakhon Ratchasima 30000, Thailand; Mahidol Univ, Fac Sci, Sch Mat Sci & Innovat, Nakhon Pathom 73170, Thailand; Kyungpook Natl Univ, Dept Phys, Deagu 41566, South Korea | Kim, Hong Joo/AAE-1178-2022; Intachai, Nuttawadee/HOH-1735-2023; Supawat, Benjamaporn/ITV-8861-2023 | 57209299012; 8518889700; 56267058700; 34881618200; 37020415600; 57220074388; 36521096600; 58478665700; 57221909427; 6507017165; 59051568100; 23974520300 | mtungjai@gmail.com;jakrapong@webmail.npru.ac.th; | RADIATION PHYSICS AND CHEMISTRY | RADIAT PHYS CHEM | 0969-806X | 1879-0895 | 224 | SCIE | CHEMISTRY, PHYSICAL;NUCLEAR SCIENCE & TECHNOLOGY;PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | 2024 | 3.3 | 6.1 | 1.04 | 2025-05-07 | 1 | 5 | Borate glass; Scintillator; X-ray imaging; Energy transfer | LUMINESCENCE | Borate glass; Energy transfer; Scintillator; X-ray imaging | Gadolinium compounds; Glass; II-VI semiconductors; Ionization; Ions; Luminescence; Samarium compounds; Scintillation counters; Single crystals; Zinc oxide; borate glass; glass; samarium; unclassified drug; yttrium oxide; zinc oxide; Borate glass; Emission wavelength; Energy-transfer; Low-costs; Luminescence properties; Optical luminescence; Optical scintillation; Scintillation properties; Scintillator materials; X-ray imaging; absorption spectra; Article; colorimetry; density; development; effective atomic number; emission intensity; energy transfer; luminescence; modulation transfer function; optical property; photoluminescence; quantum yield; radioluminescence; refraction index; scintillation; synchrotron radiation X ray tomographic microscopy; ultraviolet visible near infrared spectrometer; X ray; Energy transfer | English | 2024 | 2024-11 | 10.1016/j.radphyschem.2024.112049 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | CC-GAIN: Clustering and classification-based generative adversarial imputation network for missing electricity consumption data imputation | The widespread use of data across various fields has made missing data imputation technology a crucial tool. High-quality data is essential for effective energy management in smart grid environments, but essential data may be absent during collection. Despite the development of various imputation techniques for electricity consumption data, previous studies have made limited efforts to address the distinctive characteristics of this domain adequately. To overcome this limitation, a high-performance imputation model must effectively leverage time-series and pattern features of the data. This study proposes a novel missing data imputation model based on unsupervised clustering and classification-based generative adversarial imputation network(CC-GAIN), which excels in pattern classification and feature extraction. The CC-GAIN model demonstrates superior performance across all types and rates of missing data, outperforming alternative models. | Hwang, Junhwa; Suh, Dongjun | Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea | Junhwa, Hwang/KJM-4350-2024 | 57223968394; 36613529600 | jhhwang1907@knu.ac.kr;dongjunsuh@knu.ac.kr; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 255 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2024 | 7.5 | 6.1 | 2.96 | 2025-05-07 | 6 | 9 | GAN; Imputation; Electricity consumption; Smart grid; Energy management | CHAINED EQUATIONS; RECOVERY | Electricity consumption; Energy management; GAN; Imputation; Smart grid | Classification (of information); Electric power utilization; Generative adversarial networks; Smart power grids; Data imputation; Electricity-consumption; GAN; Imputation; Missing data imputations; Network classification; Network Clustering; Pattern features; Performance; Smart grid; Energy management | English | 2024 | 2024-12-01 | 10.1016/j.eswa.2024.124507 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Characterization and performance of SiPM-CsI(Tl) detector for low-energy γ- and X-ray spectroscopy | In this study, we coupled the low background CsI(Tl) crystal to a SensL J-series 60035 SiPM and detected low-energy ; and X-rays from Cobalt (57Co) and Iron (55Fe) radioactive sources. A distinct and well-resolved 5.9 keV X-ray peak was observed from the 55Fe source. The 6.4 and 14.4 KeV X-ray peaks from the 57Co source were measured and found to be very well separated from the background as well. Based on the SiPM single photoelectron peak mean value, the light output of CsI(Tl)+SiPM detector and absolute light yield of CsI(Tl) was calculated down to 5.9 keV. After correcting the reflectivity, and crosstalk factor the Absolute light yield was estimated to be 55 +/- 3 ph/keV. The detector light output in terms of photoelectron per equivalent energy was calculated to be 13 similar to 16 PE/keV;;. Furthermore, measurements of energy resolution and non-proportionality were done all the way down to the X-ray region. According to our findings, the SiPM coupled to CsI(Tl) could be an excellent detector for lower energy experiments such as dark matter searches and can be used in the study of neutrino physics as well as other high energy physics experiments. | Anjum, Faizan; Lee, J.; Luan, Nguyen Thanh; Kim, H. J.; Khan, Arshad; Quang, Nguyen Duy | Kyungpook Natl Univ, Dept Phys, 80 Daehakro, Daegu 41566, South Korea; Kyungpook Natl Univ, Ctr High Energy Phys, 80 Daehakro, Daegu 41566, South Korea; Najran Univ, Fac Arts & Sci, Dept Phys, Najran, Saudi Arabia; Najran Univ, Promising Ctr Sensors & Elect Devices PCSED, POB 1988, Najran 11001, Saudi Arabia | Khan, Arshad/ABB-1566-2021; Kim, Hong Joo/AAE-1178-2022 | 57219469502; 36835827400; 57210576969; 59051568100; 56017063700; 57223004024 | jiklee@knu.ac.kr; | RADIATION PHYSICS AND CHEMISTRY | RADIAT PHYS CHEM | 0969-806X | 1879-0895 | 216 | SCIE | CHEMISTRY, PHYSICAL;NUCLEAR SCIENCE & TECHNOLOGY;PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | 2024 | 3.3 | 6.1 | 1.04 | 2025-05-07 | 2 | 3 | Silicon photomultiplier; Scintillator; CsI(Tl); Absolute light yield; Energy resolution; Non-proportionality | LIGHT YIELD; CSI(TL); RESOLUTION; CRYSTAL; DEPENDENCE; CSI | Absolute light yield; CsI(Tl); Energy resolution; Non-proportionality; Scintillator; Silicon photomultiplier | Atomic physics; Cesium iodide; Gamma rays; Photoelectrons; Radioactivity; Silicon; X ray detectors; X ray spectroscopy; cesium iodide; cobalt 57; iron 55; radioactive material; silicon; unclassified drug; Absolute light yield; Energy resolutions; Light output; Low background; Lower energies; Nonproportionality; Performance; Silicon photo multipliers (SiPM); X-ray peaks; X-ray spectroscopy; Article; darkness; electron; energy yield; gamma radiation; low energy radiation; neutrino; reflectometry; scintillation; signal processing; X ray spectroscopy; Photons | English | 2024 | 2024-03 | 10.1016/j.radphyschem.2023.111442 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Charge distribution studies in the epi-cadmium neutron induced fission of 233U | Charge distributions have been carried out in the epi-cadmium neutron induced fission of 233U for the first time by measuring the fractional cumulative yields (FCY) and independent yields (IY) of various fission products. The method of an off-line y-ray spectrometric technique was used for the measurement. From the FCY values, the isobaric width parameter (sigma Z), most probable charge (ZP) and the charge polarization (AZEXPT) as a function of fragment mass were obtained. Similarly, from the IY values, isotopic width parameter (GA), the most probable mass (AP) and the elemental yields (YZ) of Sn, Sb, Te, I, Xe, Cs, Ba, La, Ce and Pr were determined by using a nonlinear fit. From the YZ values, the proton even-odd effect (delta p) was obtained for the first time. The present data were compared with the similar data in the thermal neutron induced fission of 233U and other actinides to examine the role of excitation energy on charge distribution parameters. | Naik, H.; Singh, R. J.; Dange, S. P.; Jang, W. | Bhabha Atom Res Ctr, Radiochem Div, Mumbai 400085, India; Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea | 7005890232; 24322531600; 6602557752; 59777352500 | naikhbarc@yahoo.com; | RADIATION PHYSICS AND CHEMISTRY | RADIAT PHYS CHEM | 0969-806X | 1879-0895 | 222 | SCIE | CHEMISTRY, PHYSICAL;NUCLEAR SCIENCE & TECHNOLOGY;PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | 2024 | 3.3 | 6.1 | 0 | 2025-05-07 | 0 | 0 | 233U(n f) reaction; <En> of 1.9 MeV; Off-line y-ray spectrometry; FCY and IY of fission products; Charge distribution parameters | LOW-ENERGY FISSION; NUCLEAR-CHARGE; MASS-DISTRIBUTION; YIELDS; PRODUCTS; TH-232; PU-240; U-238; NTH | <En> of 1.9 MeV; <sup>233</sup>U(n, f) reaction; Charge distribution parameters; FCY and IY of fission products; Off-line γ-ray spectrometry | Cadmium; Charge distribution; Fission products; Gamma ray spectrometers; Neutrons; cadmium; uranium; 233U(n, f) reaction; <en> of 1.9 MeV; Charge distribution parameter; Charge polarization; Distribution parameters; Fractional cumulative yield and independent yield of fission product; Neutron-induced fission; Off-line γ-ray spectrometry; Spectrometric techniques; Yield value; Article; mass spectrometry; polarization; radiation dose; radioactivity; soil analysis; Spectrometry | English | 2024 | 2024-09 | 10.1016/j.radphyschem.2024.111894 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | Article | Computational analysis of magnetohydrodynamic ternary-hybrid nanofluid flow and heat transfer inside a porous cavity with shape effects | The current study aims to analyze the magnetohydrodynamic natural convective fluid flow and heat transmission features of the ternary-hybrid nanofluid filled the partially heated porous square cavity under the impacts of heat absorption/generation and thermal radiation. The governing equations are solved using the Marker and Cell method. In the present study, three different types of nanoparticles, such as molybdenum disulfide ( M o S 2 ) , single-walled carbon nanotube ( SWCNT ) , and silver ( A g ) , are suspended in an inorganic (water) or non-polar organic (kerosene) solvent. Nine different shapes of nanoparticles are utilized in this study. The outcomes show that for the fixed pertinent parameter values of the existence and nonexistence of heat generation/absorption, the M o S 2 + SWCNT + A g / water ternary-hybrid nanofluids synthesized by lamina-shaped nanoparticles, the average thermal transmission rate is increased by 40.8523%, 36.329%, and 38.7025%, respectively, than sphere-shaped nanoparticles. In addition, utilizing the M o S 2 + SWCNT + A g / kerosene ternary-hybrid nanofluids synthesized by lamina-shaped nanoparticles, the average heat transmission rate is augmented by 38.0322%, 33.0464%, and 35.5868%, respectively, than sphere-shaped nanoparticles. The current study reveals that the fluid flow and heat transfer efficiency are significantly increased by improving the nanoparticle volume fraction and shape factors depending upon the existence of heat absorption/generation. The high average heat transfer efficiency is observed when lamina-shaped nanoparticles are dispersed into the water compared to kerosene in the presence of a heat source. This study can enhance heat transmission efficiency in various industrial and engineering fields, such as heat exchangers, solar collectors, and fuel cells. © 2024 Author(s). | Kim, Hyunju; Do, Younghae; Ramachandran, Sivaraj; Sankar, M.; Thirumalaisamy, K. | Department of Energy Engineering, Korea Institute of Energy Technology (KENTECH), Naju, 58217, South Korea; Department of Energy Engineering, Korea Institute of Energy Technology (KENTECH), Naju, 58217, South Korea, Department of Mathematics, Nonlinear Dynamics and Mathematical Application Center, 15 Kyungpook National University, Daegu, 41566, South Korea; Department of Energy Engineering, Korea Institute of Energy Technology (KENTECH), Naju, 58217, South Korea, Department of Mathematics and Computing, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Punjab, Jalandhar, 144027, India; Department of Energy Engineering, Korea Institute of Energy Technology (KENTECH), Naju, 58217, South Korea, College of Computing and Information Sciences, University of Technology and Applied Sciences, Ibri, 516, Oman; Department of Energy Engineering, Korea Institute of Energy Technology (KENTECH), Naju, 58217, South Korea, Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632014, India | 55883142200; 7103101109; 58821963700; 6701530391; 57788779900 | thirumalaisamy302@gmail.com; | Physics of Fluids | PHYS FLUIDS | 1070-6631 | 1089-7666 | 36 | 8 | SCIE | MECHANICS;PHYSICS, FLUIDS & PLASMAS | 2024 | 4.3 | 6.1 | 1.49 | 2025-05-07 | 7 | Cell engineering; Firedamp; Flow of fluids; Selenium compounds; Single-walled carbon nanotubes (SWCN); Thermal conductivity of liquids; Thermal Engineering; 'current; Heat absorption; Heat transfer efficiency; Heat transmission; Hybrid nanofluid; Shaped nanoparticles; Single-walled carbon; Synthesised; Ternary hybrid; Transmission rates; Magnetohydrodynamics | English | Final | 2024 | 10.1063/5.0222802 | 바로가기 | 바로가기 | 바로가기 | ||||||||
| ○ | ○ | Article | Computational study of magneto-convective flow of aqueous-Fe3O4 nanoliquid in a tilted cylindrical chamber partially layered by porous medium: Entropy generation analysis | In various industrial applications, the main objective is to enhance thermal efficiency by minimizing the generation of entropy. Specifically, achieving optimal thermal efficiency in a tilted cylindrical chamber poses significant challenges due to the combined effects of tangential and normal gravity components. Our study focuses on the flow dynamics, thermal transport, and entropy generation of Fe3O4/H2O nanoliquid within a cylindrical annular enclosure by incorporating the synergistic effects of magnetic force, geometric inclination angle, and thickness of the porous region. The Brinkman-Forchheimer-extended Darcy model for ferrofluid motion and the one-equation model for heat transfer are applied in the porous region, while the conventional Navier-Stokes and energy equations are used in the fluid-only region. A series of computations is performed for various key parameters, such as Hartmann number ( 0 <= Da <= 60), Darcy number ( 10(-5)<= Ha <= 10(-1)), porous layer thickness ( 0.1 <=epsilon <= 0.9), and angle of inclination ( -60 degrees <=gamma <= 60 degrees). Our results reveal that the heat transport rate is enhanced by 48.6% with an increase in the Darcy number from 10(-5) to 10(-1). Moreover, the flow circulation and heat transport can be optimized by tilting the enclosure anticlockwise. It has been found that 91.8% of flow strength can be enhanced by rotating the enclosure from -60 degrees to 60 degrees. Finally, this study suggests that the inclination angle of 30 degrees and a porous layer thickness of 0.3 emerge as the ideal configuration to obtain optimal performance, particularly for lower Hartmann and higher Darcy numbers. Our findings will provide insight into optimizing thermal processes in nanoliquid-filled enclosures subjected to magnetic force. | Swamy, H. A. Kumara; Reddy, N. Keerthi; Sankar, M.; Yoon, Aejung; Do, Younghae | Kyungpook Natl Univ, Nonlinear Dynam & Math Applicat Ctr, Dept Math, Daegu 41566, South Korea; Ulsan Natl Inst Sci & Technol, Dept Mech Engn, Ulsan 44919, South Korea; Univ Technol & Appl Sci, Dept Informat Technol, Ibri 516, Oman | ; Do, Younghae/G-3522-2011; Reddy N., Keerthi/AAT-5305-2021; Mani, Sankar/AAT-5256-2021; Swamy, H.A. Kumara/AAT-5304-2021; , KEERTHI REDDY N/AAT-5305-2021 | 57223027638; 57218368327; 6701530391; 57193253138; 7103101109 | ajyoon@unist.ac.kr;yhdo@knu.ac.kr; | PHYSICS OF FLUIDS | PHYS FLUIDS | 1070-6631 | 1089-7666 | 36 | 3 | SCIE | MECHANICS;PHYSICS, FLUIDS & PLASMAS | 2024 | 4.3 | 6.1 | 2.99 | 2025-05-07 | 9 | 9 | MHD NATURAL-CONVECTION; MIXED CONVECTION; VERTICAL ANNULUS; CAVITY; NANOFLUID; FERROFLUID; FIELD | Entropy; Flow of fluids; Heat transfer; Magnetite; Navier Stokes equations; Porous materials; Computational studies; Cylindrical chambers; Darcy number; Heat transport; Inclination angles; Layer thickness; Magnetic force; Nanoliquid; Porous layers; Thermal-efficiency; Enclosures | English | 2024 | 2024-03 | 10.1063/5.0196648 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Covariance matrix adaptation evolution strategy based on correlated evolution paths with application to reinforcement learning | Proven as an efficient population -based optimization algorithm, Covariance Matrix Adaptation Evolution Strategy (CMA-ES) features two evolution paths, one to update the covariance matrix and the other to adapt its mutation strength. Considering the time and space complexity of CMA-ES, there are several attempts in the literature to realize a single -path algorithm. However, such attempts require altering the original structure of CMA-ES and consequently eliminating some vital features crucial to the overall algorithm performance. In this paper, we show that the two evolution paths of CMA-ES are highly correlated and one can be expressed in terms of the other thus reducing the computational cost of the algorithm while preserving the original algorithmic framework. Based on experimental studies conducted using 30 functions from the IEEE CEC 2014 benchmark suite, the proposed algorithm shows comparable results with the standard CMA-ES as well as five other state-of-the-art CMA-ES variants. Furthermore, it is shown that the proposed algorithm can be applied to policy search in Deep Reinforcement Learning (DRL). Performance results based on selected DRL problems from different application domains prove the efficiency of the proposed algorithm compared to other population -based algorithms often applied for policy search in DRL. | Ajani, Oladayo S.; Kumar, Abhishek; Mallipeddi, Rammohan | Kyungpook Natl Univ, Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Artificial Intelligence, Daehak Ro, Daegu 41566, South Korea | Mallipeddi, Rammohan/AAL-5306-2020; AJANI, Oladayo/HIR-9607-2022; Kumar, Abhishek/ABA-5251-2021 | 57465126000; 57206266703; 25639919900 | oladayosolomon@gmail.com;abhishek.kumar.eee13@itbhu.ac.in;mallipeddi.ram@gmail.com; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 246 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2024 | 7.5 | 6.1 | 3.62 | 2025-05-07 | 11 | 12 | Black-box optimization; Covariance matrix adaptation evolution; strategies (CMA-ES); Reinforcement learning | CMA | Black-box optimization; Covariance matrix adaptation evolution strategies (CMA-ES); Reinforcement learning | Covariance matrix; Deep learning; Evolutionary algorithms; Learning systems; Optimization; Black-box optimization; Covariance matrices; Covariance matrix adaptation evolution strategies; Covariance matrix adaptation evolution strategy; Evolution paths; Optimization algorithms; Policy search; Population-based optimization; Reinforcement learnings; Time and space complexity; Reinforcement learning | English | 2024 | 2024-07-15 | 10.1016/j.eswa.2024.123289 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Covariance matrix adaptation evolution strategy based on ensemble of mutations for parking navigation and maneuver of autonomous vehicles | Previous works have demonstrated the use of human -inspired frameworks to address autonomous vehicle parking. In such frameworks, autonomous vehicle parking is formulated as a two -stage optimization problem where the first stage involves the generation of initial waypoints which are consequently used to reduce the autonomous parking task into a local motion planning task. In the second stage, the local motion planning is solved as a classical optimization problem. However, the overall algorithmic performance in the second stage depends on the planning horizon used to formulate the local planning task. In this work, we show first that the state-of-the-art algorithms often employed in the second stage fail with an increase in the planning horizon. Motivated by the need for algorithms that are scalable to different planning horizons, this work proposes Covariance Matrix Adaptation Evolution Strategy (CMA-ES) with an ensemble of mutations for the second stage. Specifically, the proposed algorithm features an ensemble of Gaussian- and Cauchy -based mutations to facilitate an efficient blend of both exploitation and exploration that is crucial for both short and long horizons. Furthermore, to handle the associated constraints, Superiority of Feasible (SF) constraint handling technique is incorporated into the proposed algorithm. Performance analysis based on 24 parking missions conducted with planning horizons of 2 and 4 shows that the proposed algorithm is scalable to different planning horizons compared with three commonly employed state-of-the-art algorithms. | Aboyeji, Esther Tolulope; Ajani, Oladayo S.; Mallipeddi, Rammohan | Kyungpook Natl Univ, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | Mallipeddi, Rammohan/AAL-5306-2020; AJANI, Oladayo/HIR-9607-2022; Aboyeji, Esther/IZP-8228-2023 | 58406711200; 57465126000; 25639919900 | aboyejitolulopeesther@gmail.com;oladayosolomon@gmail.com;mallipeddi.ram@gmail.com; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 249 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2024 | 7.5 | 6.1 | 1.32 | 2025-05-07 | 3 | 4 | Optimal parking motion; Autonomous vehicles; Covariance matrix adaptation evolution; strategy (CMA-ES) | OPTIMIZATION | Autonomous vehicles; Covariance matrix adaptation evolution strategy (CMA-ES); Optimal parking motion | Biomimetics; Constraint handling; Covariance matrix; Evolutionary algorithms; Motion planning; Optimization; Autonomous Vehicles; Covariance matrix adaptation evolution strategies; Covariance matrix adaptation evolution strategy; Local motions; Motion-planning; Optimal parking motion; Optimization problems; Planning horizons; Planning tasks; Vehicle parking; Autonomous vehicles | English | 2024 | 2024-09-01 | 10.1016/j.eswa.2024.123565 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Data-efficient surrogate modeling using meta-learning and physics-informed deep learning approaches | This paper proposes physics-informed meta-learning-based surrogate modeling (PI-MLSM), a novel approach that combines meta-learning and physics-informed deep learning to train surrogate models with limited labeled data. PI-MLSM consists of two stages: meta-learning and physics-informed task adaptation. The proposed approach is demonstrated to outperform other methods in four numerical examples while reducing errors in prediction and reliability analysis, exhibiting robustness, and requiring less labeled data during optimization. Moreover, compared to other approaches, the proposed approach exhibits better performance in solving out-ofdistribution tasks. Although this paper acknowledges certain limitations and challenges, such as the subjective nature of physical information, it highlights the key contributions of PI-MLSM, including its effectiveness in solving a wide range of tasks and its ability in handling situations wherein physical laws are not explicitly known. Overall, PI-MLSM demonstrates potential as a powerful and versatile approach for surrogate modeling. | Jeong, Youngjoon; Lee, Sang-ik; Lee, Jonghyuk; Choi, Won | Seoul Natl Univ, Grad Sch Data Sci, 1 Gwanak Ro, Seoul 08826, South Korea; Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Agr Civil & Bioind Engn, 80 Daehak Ro, Daegu 41556, South Korea; Seoul Natl Univ, Coll Agr & Life Sci, Dept Landscape Architecture & Rural Syst Engn, 1 Gwanak Ro, Seoul 08826, South Korea; Seoul Natl Univ, Coll Agr & Life Sci, Integrated Major Global Smart Farm, 1 Gwanak Ro, Seoul 08826, South Korea; Seoul Natl Univ, Res Inst Agr & Life Sci, 1 Gwanak Ro, Seoul 08826, South Korea | ; Lee, Sangik/JFS-3290-2023 | 57218213405; 57218215209; 57221623269; 54412025900 | af1014@snu.ac.kr;sugurie@snu.ac.kr;leejh314@snu.ac.kr;fembem@snu.ac.kr; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 250 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2024 | 7.5 | 6.1 | 2.3 | 2025-05-07 | 6 | 7 | Surrogate modeling; Physics-informed deep learning; Meta-learning; Knowledge transfer; Domain adaptation | RELIABILITY-ANALYSIS; NEURAL-NETWORKS; OPTIMIZATION; METAMODEL; FRAMEWORK | Domain adaptation; Knowledge transfer; Meta-learning; Physics-informed deep learning; Surrogate modeling | Deep learning; Knowledge management; Learning systems; Numerical methods; Domain adaptation; Knowledge transfer; Labeled data; Learning approach; Metalearning; Optimisations; Performance; Physic-informed deep learning; Surrogate modeling; Task adaptation; Reliability analysis | English | 2024 | 2024-09-15 | 10.1016/j.eswa.2024.123758 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Deep reinforcement learning for cooperative robots based on adaptive sentiment feedback | Human-robot cooperative tasks have gained importance with the emergence of robotics and artificial intelligence technology. In interactive reinforcement learning techniques, robots learn target tasks by receiving feedback from an experienced human trainer. However, most interactive reinforcement learning studies require a separate process to integrate the trainer's feedback into the training dataset, making it challenging for robots to learn new tasks from humans in real-time. Furthermore, the types of feedback sentences that trainers can use are limited in previous research. To address these limitations, this paper proposes a robot teaching strategy that uses deep RL via human-robot interaction to learn table balancing tasks interactively. The proposed system employs Deep Q-Network with real-time sentiment feedback delivered through the trainer's speech to learn cooperative tasks. We designed a novel reward function that incorporates sentiment feedback from human speech in real-time during the learning process. The paper presents an improved reward shaping technique based on subdivided feedback levels and shrinking feedback. This function serves as a guide for the robot to engage in natural interactions with humans and enables it to learn the tasks effectively. Experimental results demonstrate that the proposed interactive deep reinforcement learning model achieved a high success rate of up to 99.06%, outperforming the model without sentiment feedback. | Jeon, Haein; Kim, Dae-Won; Kang, Bo-Yeong | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea; Chung Ang Univ, Sch Comp Sci & Engn, Seoul 06974, South Korea; Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea | Kang, Bo-Yeong/IXW-6764-2023; Jeon, Haein/LXA-8688-2024 | 58306039400; 57205734453; 26643468300 | haeinjeon.knu@gmail.com;dwkim@cau.ac.kr;kby09@knu.ac.kr; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 243 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2024 | 7.5 | 6.1 | 2.3 | 2025-05-07 | 8 | 9 | Human-robot interaction; Deep reinforcement learning; Interactive reinforcement learning; Human-in-the-loop; Reward shaping | Deep reinforcement learning; Human-in-the-loop; Human–robot interaction; Interactive reinforcement learning; Reward shaping | Deep learning; Human robot interaction; Intelligent robots; Learning systems; Cooperative robots; Cooperative tasks; Deep reinforcement learning; Human-in-the-loop; Humans-robot interactions; Interactive Reinforcement Learning; Learn+; Real- time; Reinforcement learnings; Reward shaping; Reinforcement learning | English | 2024 | 2024-06-01 | 10.1016/j.eswa.2023.121198 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach | The control of indoor temperature in greenhouses is crucial as it directly impacts the crop ' s thermal comfort and the performance of heating, ventilation, and air-conditioning (HVAC) systems. Conventional feedback controllers, like on/off, can sometimes make HVAC system work at full capacity when only half that capacity is needed. In contrast, the proportional-integral-derivative (PID) controller, provides precise control based on its P, I, and D parameters. However, it lacks a formal design procedure for optimizing a specified objective function. Previous studies have utilized conventional PID tuning approaches to track room setpoint temperature for residential buildings, data centers, and office buildings, with limited research in greenhouse applications. To address this gap, this study proposes a flexible PID controller that employs a deep reinforcement learning (DRL) algorithm to optimize its parameters, by tracking the setpoints and energy consumption of a greenhouse planted with tomatoes. This approach is different from the typical method of using the trained RL agent directly in HVAC controls. Through a self-made TRNSYS-Python cosimulation framework, the DRL agent interacts directly and in real time with the greenhouse and its plants. Consequently, optimized PID parameters were established and tested in the simulated environment. The resulting performance, in terms of both energy consumption and its ability to maintain the crop ' s comfort temperature, was compared with the simulated on/off and manually tuned PID controllers. Compared to the on/off baseline control, the proposed PID optimized parameters reduce energy use by 8.81% to 12.99% and the manually tuned PID parameters with the Ziegler-Nichols tuning method reduce energy use by 7.17 %. Additionally, the proposed method had a deviation of 2.07% to 3.13%, while the manually tuned PID controller and the on/off controller had deviations of 7.27% and 3.27%, respectively, from the minimum comfortable temperature. This study serves as a framework for improving the energy efficiency of greenhouse HVAC system operations. | Adesanya, Misbaudeen Aderemi; Obasekore, Hammed; Rabiu, Anis; Na, Wook-Ho; Ogunlowo, Qazeem Opeyemi; Akpenpuun, Timothy Denen; Kim, Min-Hwi; Kim, Hyeon-Tae; Kang, Bo-Yeong; Lee, Hyun-Woo | Kyungpook Natl Univ, Coll Agr & Life Sci, Dept Agr Civil Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea; Fed Coll Agr Ibadan, Dept Agr & Bioenvironm Engn, PMB 5029, Ibadan, Nigeria; Univ Ilorin, Dept Agr & Biosyst Engn, PMB 1515, Ilorin 240103, Nigeria; Korea Inst Energy Res, Renewable Energy Syst Lab, 152 Gajeong Ro, Daejeon 34129, South Korea; Gyeongsang Natl Univ, Dept Bioind Machinery Engn, Jinju 660701, South Korea | ; Kim, Min-Hwi/S-9817-2018; OGUNLOWO, QAZEEM/ABB-5386-2021; RABIU, Anis/JXO-1947-2024; Adesanya, Misbaudeen/AAA-4664-2022; Akpenpuun, Timothy/AAE-1168-2020; Obasekore, Hammed/HTL-7429-2023; Kang, Bo-Yeong/IXW-6764-2023 | 57264527200; 57211521199; 57264527100; 57211208368; 57265471800; 57194448083; 55541423800; 8662923200; 26643468300; 57209160180 | misbauadesanya@knu.ac.kr;obasekore.hammed@knu.ac.kr;rabiuanis@knu.ac.kr;wooks121@knu.ac.kr;ogunlowoqazeem@knu.ac.kr;akpenpuun.td@unilorin.edu.ng;mhkim001@kier.re.kr;bioani@gnu.ac.kr;kby09@knu.ac.kr;whlee@knu.ac.kr; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 252 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2024 | 7.5 | 6.1 | 6.25 | 2025-05-07 | 17 | 21 | HVAC control; TRNSYS; Python; Optimization; Deep reinforcement learning; Cosimulation | SIMULATION | Cosimulation; Deep reinforcement learning; HVAC control; Optimization; Python; TRNSYS | Controllers; Crops; Deep learning; Electric control equipment; Energy efficiency; Energy utilization; Greenhouses; HVAC; Learning systems; Proportional control systems; Reinforcement learning; Three term control systems; Two term control systems; Air conditioning controls; Conditioning systems; Cosimulation; Deep reinforcement learning; Heating ventilation and air conditioning; Heating, ventilation, and air-conditioning control; Optimisations; Proportional integral derivatives; Reinforcement learnings; TRNSYS; Python | English | 2024 | 2024-10-15 | 10.1016/j.eswa.2024.124126 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | DeepWalk with Reinforcement Learning (DWRL) for node embedding | DeepWalk is used to convert nodes in an original graph into equivalent vectors in a latent space for performing various predictive tasks. To ensure second-order structural similarity between nodes in the original graph and their vectors in the latent space, dot products are applied to each pair of nodes explored on the random walk (RW) in the latent space. However. dot products for graphs with millions of nodes and billions of edges are computationally expensive. To minimize the computation time required for calculating the second-order structural similarity, DeepWalk with reinforcement learning (DWRL) is proposed herein. In DWRL, a level pointer for each node in the original graph is prepared. By identifying common nodes between each pair of nodes in the original graph, the number of computations in the dot product in the latent space is reduced, thereby ensuring second-order structural similarity. Additionally, repeated selection of the same node during RWs produces redundant samples for training. Therefore, the subsampling technique is used to choose the next node based on its degree, which improves the generalization of node representations in the latent space and increases accuracy. The proposed techniques are applied to popular datasets to perform multilabel classification and link prediction tasks, and their efficiency in reducing the computation time is verified. The proposed DWRL minimizes the computation time 47% for large graphs to build latent vectors and improves the average micro and macro F1 scores up to 12%. The link prediction performance also increases up to 20%. | Jeyaraj, Rathinaraja; Balasubramaniam, Thirunavukarasu; Balasubramaniam, Anandkumar; Paul, Anand | Univ Houston Victoria, Victoria, TX 77901 USA; Queensland Univ Technol, Brisbane, Qld 4001, Australia; Kyungpook Natl Univ, Daegu 41566, South Korea | Jeyaraj, Rathinaraja/ABB-7781-2021; Paul, Anand/V-6724-2017; Balasubramaniam, Anandkumar/X-8509-2019; Balasubramaniam, Thirunavukarasu/ABE-3958-2020 | 57203111601; 57204525618; 57194681130; 56650522400 | jeyarajr@uhv.edu;thirunavukarasu.balas@qut.edu.au;bsanandkumar@knu.ac.kr;anand@knu.ac.kr; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 243 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2024 | 7.5 | 6.1 | 0.99 | 2025-05-07 | 5 | 6 | DeepWalk; Link prediction; Node classification; Node embedding; Reinforcement learning | DeepWalk; Link prediction; Node classification; Node embedding; Reinforcement learning | Forecasting; Graph embeddings; Graph theory; Reinforcement learning; Vector spaces; Computation time; Deepwalk; Embeddings; Link prediction; Node classification; Node embedding; Random Walk; Reinforcement learnings; Second orders; Structural similarity; Classification (of information) | English | 2024 | 2024-06-01 | 10.1016/j.eswa.2023.122819 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Development of a phoswich detector utilizing bismuth germanate crystal scintillator and polyethylene naphthalate scintillation film | In this study, we present the development of a phoswich detector system employing a Bismuth Germanate (BGO) crystal scintillator in combination with a Polyethylene naphthalate (PEN) film plastic scintillator. Phoswich detectors can contribute to various applications, including radiation monitoring, medical imaging, and nuclear physics experiments, due to their ability to discriminate between different types of radiation. The thin PEN film is sensitive to a and fi radiation, while the BGO scintillator exhibits good y radiation detection efficiency. The incident radiation type and its energy can be determined by analyzing the difference in decay times between these two scintillators. This paper presents an analysis of the detector's response to a, fi, and y radiation, and the particle tagging efficiencies are to be over 99.9%, 92%, and 99.8%, respectively. | Jeong, Dongwoo; Hur, Jiseong; Kothan, S.; Kaewkhao, J.; Kim, H. J. | Kyungpook Natl Univ, Dept Phys, 80 Daehak ro, Daegu 41566, South Korea; Chiang Mai Univ, Fac Associated Med Sci, Ctr Radiat Res & Med Imaging, Dept Radiol Technol, Chiang Mai 50200, Thailand; Nakhon Pathom Rajabhat Univ, Ctr Excellence Glass Technol & Mat Sci CEGM, Nakhon Pathom 73000, Thailand | Kim, Hong Joo/AAE-1178-2022 | 57221047608; 59161051100; 6507017165; 23974520300; 59051568100 | hongjoo@knu.ac.kr; | RADIATION PHYSICS AND CHEMISTRY | RADIAT PHYS CHEM | 0969-806X | 1879-0895 | 222 | SCIE | CHEMISTRY, PHYSICAL;NUCLEAR SCIENCE & TECHNOLOGY;PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | 2024 | 3.3 | 6.1 | 0 | 2025-05-07 | 0 | 0 | Phoswich; BGO; PEN film | PERFORMANCE; ALPHA | BGO; PEN film; Phoswich | Bismuth; Bismuth compounds; Crystals; Medical imaging; Polyethylenes; Radiation detectors; Scintillation counters; potassium 40; sodium 22; BGO; Bismuth germanate; Crystal scintillators; Detector systems; Phoswich; Phoswich detector; Poly(ethylene naphthalate); Polyethylene naphthalate film; Scintillation films; γ-radiation; Article; electron; energy; energy spectroscopy; light intensity; Monte Carlo method; neutrino; radiation detection; radiation dose; spectroscopy; Gamma rays | English | 2024 | 2024-09 | 10.1016/j.radphyschem.2024.111854 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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