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- 저자 : Minjun Park (검색결과 181 건)
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Noise Prediction of Ducted Fan Unmanned Aerial Vehicles considering Strut Effect in Hover
Park, Minjun,Jang, Jisung,Lee, Duckjoo The Korean Society for Aeronautical and Space Scie 2017 International Journal of Aeronautical and Space Sc Vol.18 No.1
In recent years, unmanned aerial vehicles (UAVs) have been developed and studied for various applications, including drone deliveries, broadcasting, scouting, crop dusting, and firefighting. To enable the wide use of UAVs, their exact aeroacoustic characteristics must be assessed. In this study, a noise prediction method for a ducted fan UAV with complicated geometry was developed. In general, calculation efficiency is increased by simulating a ducted fan UAV without the struts that fix the fuselage to the ducts. However, numerical predictions of noise and aerodynamics differ according to whether struts are present. In terms of aerodynamic performance, the total thrust with and without struts is similar owing to the tendency of the thrust of a blade to offset the drag of the struts. However, in aeroacoustic simulations, the strut effect should be considered in order to predict the UAV's noise because noise from the blades can be changed by the strut effect. Modelling of the strut effect revealed that the dominant tonal noises were closely correlated with the blade passage frequency of the experimental results. Based on the successful detection of noise sources from a ducted fan UAV system, using the proposed noise contribution contour, methods for noise reduction can be suggested by comparing numerical results with measured noise profiles.
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Noise Prediction of Ducted Fan Unmanned Aerial Vehicles considering Strut Effect in Hover
Minjun Park,Jisung Jang,Duckjoo Lee 한국항공우주학회 2017 International Journal of Aeronautical and Space Sc Vol.18 No.1
In recent years, unmanned aerial vehicles (UAVs) have been developed and studied for various applications, including drone deliveries, broadcasting, scouting, crop dusting, and firefighting. To enable the wide use of UAVs, their exact aeroacoustic characteristics must be assessed. In this study, a noise prediction method for a ducted fan UAV with complicated geometry was developed. In general, calculation efficiency is increased by simulating a ducted fan UAV without the struts that fix the fuselage to the ducts. However, numerical predictions of noise and aerodynamics differ according to whether struts are present. In terms of aerodynamic performance, the total thrust with and without struts is similar owing to the tendency of the thrust of a blade to offset the drag of the struts. However, in aeroacoustic simulations, the strut effect should be considered in order to predict the UAV’s noise because noise from the blades can be changed by the strut effect. Modelling of the strut effect revealed that the dominant tonal noises were closely correlated with the blade passage frequency of the experimental results. Based on the successful detection of noise sources from a ducted fan UAV system, using the proposed noise contribution contour, methods for noise reduction can be suggested by comparing numerical results with measured noise profiles.
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Towards Understanding and Applying Chinese Parsing using Cparser
PARK Minjun(朴敏浚),KANG Byeongkwu(姜柄圭) 한국중어중문학회 2020 한국중어중문학회 우수논문집 Vol.- No.-
This paper focuses on parsing processes and principles, which are essential tasks for machines to understand syntactic and semantic structures of a sentence. Machine analysis procedures for Chinese sentences, including word segmentation, and part-of-speech tagging and parsing, were visually represented using Cparser, a rule-based constituency parser developed by Peking University. Then we explained how linguistic knowledge was embodied in Cparser lexical, syntactic and semantic components, and discussed their complex interplay that allows automatic parsing. As a practical example, a Chinese textbook treebank is also constructed using Cparser. According to the theoretical and practical discussion in this paper, Peking University Cparser can easily to reflect and modify undated linguistic knowledge and is expected to be widely used as an analysis and verification tool for Chinese grammar research.
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Real-time monitoring of microbial activity using hydrogel-hybridized carbon nanotube transistors
Park, Minjun,Kim, Hyun Soo,Kim, Taewan,Kim, Junhyup,Seo, Sungchul,Lee, Byung Yang Elsevier 2018 Sensors and actuators. B, Chemical Vol.263 No.-
<P><B>Abstract</B></P> <P>We demonstrate a unique system mainly composed of a carbon nanotube field-effect transistor (CNT-FET) integrated with malt extract agar (MEA) hydrogel for the real-time monitoring of microbial growth and activity. Consumption of nutrients and production of metabolites by microbial cells such as fungi or yeast results in the change of chemical properties of the hydrogel matrix, and this chemical change is detected by the underlying CNT-FET underneath the MEA hydrogel. In this study, we were able to distinguish the different growth phases (lag phase, log phase and stationary phase) of microbial organisms from the conductance measurement of the MEA-hybridized CNT-FET. Two fungal species (<I>Aspergillus niger, Aspergillus versicolor</I>), and one yeast species (<I>Saccharomyces cerevisiae</I>) were tested. The CNT-FET signals showed peculiar signal patterns according to the microbial species, enabling the classification of microbial species in terms of CNT-FET signal patterns. The CNT-FET signals were compared with pH change of the MEA hydrogel matrix, and the CNT-FET signal followed the microorganism activity more closely than the pH signal. We expect that this platform can serve as a suitable substitute of currently time-consuming, high-cost, and laborious microbial monitoring procedure and expedite the development of improved simultaneous monitoring of various fungal and/or bacterial organisms.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Microbial activity is monitored in real-time using hydrogel-hybridized carbon nanotube transistors. </LI> <LI> The detected signal shows the microbial growth stages such as lag, log and stationary phases for fungi species. </LI> <LI> The system allows the differentiation of fungi and yeast species according to their signal patterns. </LI> <LI> Conductance of CNT-FETs change due to the metabolites and by-products from microbial activity. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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Overview of recent progress in 3D field physics in KSTAR
Park Gunyoung,In Yongkyoon,Park Jong-Kyu,Ko Won-Ha,Lee Jaehyun,Kim Minwoo,Shin Giwook,Hahn Sang-Hee,Kim SangKyeun,Yang Seong Moo,Hu Qiming,Rhee Tongnyeol,Choi Minjun J.,Kim Kimin,Lee Hyung-Ho,Jeon You 한국물리학회 2022 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.80 No.8
Various 3D field physics challenges of magnetically confined plasmas arise when the driving source comes from either externally applied non-axisymmetric 3D magnetic perturbations or plasma instabilities inside the plasma. Recently, several key outstanding topics of 3D field physics have been extensively studied in the Korean Superconducting Tokamak Advanced Research (KSTAR), such as edge-localized-mode (ELM) control by resonant magnetic perturbation (RMP), error field (EF) control, 3D field effects on rotation and transport, and RMP-induced alteration of divertor heat flux and detachment. KSTAR has a few physically unique features (i.e., high rotation and long-pulse plasmas with a low intrinsic EF) and machine/diagnostic capabilities (i.e., 3-row in-vessel control coil and state-of-the-art 2D/3D imaging diagnostics), which have been taken advantage of until now to address critical 3D field physics issues relevant to ITER and K-DEMO. Among many remarkable achievements are the robust access to and control of n = 1 RMP ELM suppression, along with a development of its physics basis tools, parameter expansion, optimization, and long-pulse control techniques. Nonetheless, a series of unresolved 3D physics themes, as well as limited coverage of 3D field operating regimes, have also been identified as future works for the 3D field research in KSTAR. In this paper, we provide an overview about the recent progress of KSTAR 3D field physics and present future plans of KSTAR 3D research toward a future fusion reactor.
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Park, Jeong Hun,Park, Ju Young,Nam, Inn-Chul,Ahn, Minjun,Lee, Jae Yeon,Choi, Seok Hwa,Kim, Sung Won,Cho, Dong-Woo Elsevier 2018 Biomaterials Vol.185 No.-
<P><B>Abstract</B></P> <P>Extensive circumferential tracheal defects remain a major challenging problem in the field of tracheal reconstruction. In this study, a tissue-engineered tracheal graft based on three-dimensional (3D) printing was developed for extensive circumferential tracheal reconstruction. A native trachea-mimetic bellows scaffold, a framework for a tissue-engineered tracheal graft, was indirectly 3D printed and reinforced with ring-shaped bands made from medical grade silicone rubber. A tissue-engineered tracheal graft was then created by stratifying tracheal mucosa decellularized extracellular matrix (tmdECM) hydrogel on the luminal surface of the scaffold and transferring human inferior turbinate mesenchymal stromal cell (hTMSC) sheets onto the tmdECM hydrogel layer. The tissue-engineered tracheal graft with critical length was anastomosed end-to-end to the native trachea and complete re-epithelialization was achieved on the entire luminal surface within 2 months in a rabbit model with no post-operative complications. With this successful result, the present study reports the preliminary potential of the tissue-engineered tracheal graft as a rational tissue engineering strategy for extensive circumferential tracheal reconstruction.</P>
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박민준 ( Park Minjun ) 한국중국언어학회 2022 중국언어연구 Vol.- No.102
This paper introduces and explains in detail the overall information and tutorial about the commonly used Chinese morphological analyzers (e.g. ICTCLAS, Jieba, Stanford CoreNLP) which are employed in Chinese preprocessing tasks of Chinese Word Segmentation (CWS) and Part-of-speech tagging. In particular, the usability of the tools was enhanced by developing simple executables distributed to linguistic researchers unfamiliar with coding, along with rich execution examples in GUI and CLI environments. Plus, by introducing the unique features and functions of each morphological analyzer, it was recommended the most suitable analyzer tailored to the needs of individual researchers. As a guide for Chinese morphological analysis, which is inevitably accompanied by data-driven quantitative research, this study presents practical tools and useful guidelines for Chinese text preprocessing to researchers who want to expand their research interests to corpus linguistics, computational linguistics, and natural language processing.
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