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Eulerian and Lagrangian descriptions for the vibration analysis of a deploying beam
Sungpil Park,유홍희,정진태 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.9
In this study, the equations of motion derived from the Eulerian and Lagrangian descriptions of the vibration analysis of a deploying beam are compared and discussed. After transforming the equations to their corresponding variational equations, the discretized equations for the two descriptions are derived and their equivalence is verified. The numerical time responses obtained from the equations of both descriptions are the same. We recommend use of the Lagrangian description over the Eulerian one when analyzing the vibration of a deploying beam that includes the entirety of the beam inside and outside a rigid wall.
Sungpill Choi,Kyuho Jason Lee,Youngwoo Kim,Hoi-Jun Yoo 대한전자공학회 2020 Journal of semiconductor technology and science Vol.20 No.3
The 3D hand gesture interface (HGI) for virtual reality and mixed reality on smart mobile devices is strongly dependent upon the robust depth-estimation with low latency and power consumption. However, the conventional depth-estimation hardware such as active depth sensors and stereo matching accelerators cannot realize the always-on and natural 3D HGI on mobile platform due to their large power consumption from active depth sensors and computations as well as the massive external memory bandwidth, respectively. To resolve the limit, we propose a depth-estimation processor that realizes the always-on and natural 3D HGI with algorithm and hardware co-optimization. The processor features: 1) shifter-based adaptive support weight aggregation that replaces complex floating-point operations with integer operations to reduce power and bandwidth by 92.2% and 69.1%; 2) line streaming 7-stage pipeline architecture with aggregation pipeline reordering optimization to realize 94% utilization and 43.9% memory reduction; and 3) shifting register-based pipeline buffer optimization to reduce 29.8% area. The proposed depth-estimation processor realizes a real-time 3D HGI with 9.52 ms of latency under QVGA stereo inputs. It achieves external memory bandwidth reduction to 18.93 MB/s with 15.56 mW power and 2.8 mm2 area, which are 4.1x and 6.9x more efficient than state-of-the-arts [9, 10], respectively.
농작업 재해예방 E-learning 프로그램의 사용성 평가
Sungpill Jo,Kyeong-Hee Choi,Yong-Ku Kong,Hye Seon Chae,Inseok Lee(이인석) 대한인간공학회 2015 대한인간공학회 학술대회논문집 Vol.2015 No.10
Objective: 고령 농업인을 대상으로 효과적인 E-learning 프로그램을 제공하기 위해 체계적인 연구 방법 및 절차를 수립하여 E-learning 프로그램을 개발하였고, 이에 대해 사용성 평가를 실시하였다. Background: 선행 농작업 관련 재해 예방 교육 자료들은 책자 위주의 단방향 접근방법으로 교육의 흥미를 떨어뜨리며 동기부여 및 이해도가 낮아 학습 효과를 기대하기 어렵다. 따라서 사용자 인터페이스가 간결하고 이해하기 쉬우며 양방향 상호작용하여 필요한 안전 지식을 습득할 수 있는 프로그램이 필요하다. Method: 7명의 농촌지도사와 14명의 농업인들이 e-러닝 프로그램의 사용성을 평가하였다. 두 그룹은 프로그램을 시청한 후 효율성, 학습(교육)용이성, 만족도에 대하여 5점 척도로 평가하였다. 설문평가 후 프로그램의 대한 자유로운 토의를 진행하였다. Results: 연구 결과 e-러닝 프로그램의 전반적인 효율성, 학습용이성, 만족도는 높았으며, 고령 농업인이 쉽게 조작할 수 있었으며, 농업지도사의 교육용으로 적합한 것으로 평가되었다. Conclusion: 고령농업인의 흥미를 갖고 농작업 안전 관련 정보를 접할 수 있는 e-러닝 프로그램을 통하여 농업의 안전문화 형성에 도움이 될 것으로 기대된다.
Sungpill Choi,Seongwook Park,Hoi-Jun Yoo 대한전자공학회 2017 Journal of semiconductor technology and science Vol.17 No.3
Hand gesture recognition is regarded as new Human Computer Interaction (HCI) technologies for the next generation of mobile devices. Previous hand gesture implementation requires a large memory and computation power for hand segmentation, which fails to give real-time interaction with mobile devices to users. Therefore, in this paper, we presents a low latency and memory-efficient hand segmentation architecture for natural hand gesture recognition. To obtain both high memory-efficiency and low latency, we propose a streaming hand contour tracing unit and a fast contour filling unit. As a result, it achieves 7.14 ㎳ latency with only 34.8 KB on-chip memory, which are 1.65 times less latency and 1.68 times less on-chip memory, respectively, compare to the best-in-class.
Han Sungpil,Choi Hee Youn,Kim Yo Han,Choi SeungChan,Kim Seokuee,Nam Ji Yeon,Kim Bongtae,Song Geun Seog,Lim Hyeong-Seok,Bae Kyun-Seop 거트앤리버 소화기연관학회협의회 2023 Gut and Liver Vol.17 No.1
Background/Aims: Tegoprazan, a novel potassium-competitive acid blocker, is expected to overcome the limitations of proton pump inhibitors and effectively control nocturnal acid breakthrough. To evaluate the pharmacodynamics of tegoprazan versus dexlansoprazole regarding nocturnal acid breakthrough in healthy subjects. Methods: In a randomized, open-label, single-dose, balanced incomplete block crossover study, 24 healthy male volunteers were enrolled and randomized to receive oral tegoprazan (50, 100, or 200 mg) or dexlansoprazole (60 mg) during each of two administration periods, separated by a 7- to 10-day washout period. Blood samples were collected for pharmacokinetic parameter analysis; gastric monitoring was performed for pharmacodynamic parameter evaluation. Results: All 24 subjects completed the study. Average maximum plasma concentration, area under the plasma concentration–time curve, and mean time with gastric pH >4 and pH >6 for tegoprazan demonstrated dose-dependent incremental increases. All the tegoprazan groups reached mean pH ≥4 within 2 hours, whereas the dexlansoprazole group required 7 hours after drug administration. Based on pharmacodynamic parameters up to 12 hours after evening dosing, 50, 100, and 200 mg of tegoprazan presented a stronger acid-suppressive effect than 60 mg of dexlansoprazole. Moreover, the dexlansoprazole group presented a comparable acid-suppressive effect with the tegoprazan groups 12 hours after dosing. Conclusions: All the tegoprazan groups demonstrated a significantly faster onset of gastric pH increase and longer holding times above pH >4 and pH >6 up to 12 hours after evening dosing than the dexlansoprazole group.