http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Hyunseok Lee(Hyunseok Lee),Dongryul Oh(Dongryul Oh),Yong Chan Ahn(Yong Chan Ahn),Hongryull Pyo(Hongryull Pyo),Kyungmi Yang(Kyungmi Yang),Jae Myoung Noh(Jae Myoung Noh) 대한방사선종양학회 2024 Radiation Oncology Journal Vol.42 No.1
Purpose: This retrospective study aimed to compare clinical outcomes and dosimetric parameters between radiation therapy (RT) techniques in patients with thymic epithelial tumor (TET). Materials and Methods: From January 2016 to December 2020, 101 patients with TET received adjuvant RT (median, 52.8 Gy; range, 48.4 to 66.0). Three different RT techniques were compared: three-dimensional conformal RT (3D-CRT; n = 59, 58.4%), intensity-modulated RT (IMRT; n = 23, 22.8%), and proton beam therapy (PBT; n = 19, 18.8%). Results: The median age of the patients and the follow-up period were 55 years (range, 28 to 79) and 43.4 months (range, 7.7 to 77.2). Patients in the PBT group were of the youngest age (mean age, 45.4 years), while those in IMRT group had the largest clinical target volume (mean volume, 149.6 mL). Patients in the PBT group had a lower mean lung dose (4.4 Gy vs. 7.6 Gy vs. 10.9 Gy, respectively; p < 0.001), lower mean heart dose (5.4 Gy vs. 10.0 Gy vs. 13.1 Gy, respectively; p = 0.003), and lower mean esophageal dose than patients in the 3D-CRT and IMRT groups (6.3 Gy vs. 9.8 Gy vs. 13.5 Gy, respectively; p = 0.011). Twenty patients (19.8%) showed disease recurrence, and seven patients (6.9%) died. The differences in the survival rates between RT groups were not statistically significant. Conclusion: In patients with TET who underwent adjuvant RT, PBT resulted in a lower dose of exposure to adjacent organs at risk. Survival outcomes for patients in PBT group were not significantly different from those in other groups.
Hyunseok Oh,Hsiu-Ping Wei,Bongtae Han,Youn, Byeng D. IEEE 2016 IEEE transactions on components, packaging, and ma Vol.6 No.2
<P>We propose a novel methodology for calibrating the physics-based lifetime models of the electronic packages using the eigenvector dimension-reduction (EDR) method and a censored data analysis. The methodology enables to overcome two challenges that are encountered in typical electronic packaging applications: 1) the minimum computational cost without sacrificing the prediction accuracy and 2) the proper handling of the censored data. The EDR method is first employed for uncertainty propagation for the computational efficiency when multiple unknown variables are to be used in nonlinear damage models. Next, the likelihood function is modified to handle the failure data as well as the censored data in the likelihood analysis, and thus establishes the correlation between the model response and the experimental result. Finally, through an unconstrained optimization process, a calibrated parameter set of statistical distributions for unknown input variables is obtained while maximizing the modified likelihood. The proposed statistical calibration approach is implemented for solder joint fatigue reliability. The results confirm the claimed computational effectiveness for an accurate physics-based lifetime model.</P>
Oh, Hyunseok,Jung, Joon Ha,Jeon, Byung Chul,Youn, Byeng Dong Institute of Electrical and Electronics Engineers 2018 IEEE transactions on industrial electronics Vol. No.
<P>This paper proposes a scalable and unsupervised feature engineering method that uses vibration imaging and deep learning. For scalability, a vibration imaging approach is devised that incorporates data from systems with various scales, such as small testbeds and real field-deployed systems. Moreover, a deep learning approach is proposed for unsupervised feature engineering. The overall procedure includes three key steps: 1) vibration image generation; 2) unsupervised feature extraction; and 3) fault classifier design. To demonstrate the validity of the proposed approach, three case studies are conducted using an RK4 rotor kit and a power plant journal bearing system. By incorporating smaller-system data as well as real-system data, the proposed approach can substantially increase the applicability of the fault diagnosis method while maintaining good accuracy. Moreover, the time and effort needed to develop a diagnostic approach for other rotor systems can be reduced considerably.</P>