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Identifying Typhoon Targeted Observations Sensitive Areas Using the Gradient Definition Based Method
Bin Mu,Juhui Ren,Shi-Jin Yuan,Fei-Fan Zhou 한국기상학회 2019 Asia-Pacific Journal of Atmospheric Sciences Vol.55 No.2
Increasing additional observation in the typhoon targeted observation sensitive area can help providing more accurate initial field for numerical models, further to improve the typhoon forecast skill. The critical problem is how to identify the typhoon targeted observation sensitive area. Conditional nonlinear optimal perturbation (CNOP) has been proved to be an effective method. Generally, the CNOP is solved using adjoint-based method, which needs to utilize the adjoint models of the numerical models. However, the adjoint models for some numerical models have not been developed or only for some modules. The gradient definition based method is an adjoint-free method, which has been applied to solve the CNOP of Zebiak-Cane (ZC) model with 1080-dimensional solution space to study the optimal precursors of El Nino-Southern Oscillation (ENSO) event. It is very easy to realize, but the time efficiency will go down dramatically along with the rapidly increasing dimensions. In this paper, the gradient definition based method is applied to solve the CNOP ofMM5 model with more than 105-dimensional solution space to identify the typhoon targeted observation sensitive area. Compared to the adjoint-based method, the identified sensitive area and the benefits of the CNOPs are very similar for typhoon Matmo (2014) and Fitow (2013), and higher time efficiency can be achieved. Furthermore, the OSSEs’ results show that the sensitive area identified can be used to improve the forecast skill of typhoon Matmo and Fitow to different extent.
Primary-Side Control for Flyback Converter with Wide Range Operation
Bin-Kun Huang,Tsorng-Juu Liang,Wei-Jing Tseng,Kai-Hui Chen,Qing-Mu Chen 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
Most of current primary side regulation (PSR) control methods are implemented in either discontinuous conduction mode (DCM) or continuous conduction mode (CCM). Because of the difficulty in sensing the output voltage, no algorithm is suitable for both DCM and CCM, and the power range of the system is limited. The proposed controller is suitable for both DCM and CCM with wide power range operation. The “TSMC 0.25 μm CMOS high voltage mixed signal process” is adopted to implement the proposed IC. A flyback converter with 400 V input and 20 V/150 W output is built to verify the feasibility of proposed control IC.
Lee, Mu Hyoung,Yoon, Jeong Bin,Kim, Hyo Joung 대한피부과학회 1999 Annals of Dermatology Vol.11 No.3
Crohn's disease, a chronic relapsing, multisystemic, inflammatory disorder, may involve any part of the gastrointestinal tract and shows a cobblestone-like appearance on intestinal mucosa. There are also extraintestinal features, including lesions of the skin, eye, and joints. Ulcers, fissures, sinus tracts, abscesses, and vegetant plaques have been reported for the perianal skin lesions of Crohn's disease. We experienced a case of Crohn's disease in a 21-year-old Korean female showing a skin lesion with a cobblestone-like appearance in the perianal region.
Zonggao Mu,Wenfu Xu,Bin Liang 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.2
During the operation of space manipulators for debris removal, the obstacles moving in the workspacemust be avoided. We propose a unified modelling framework for multiple moving obstacles and a collision-freetrajectory planning method for a redundant space manipulator. The complete properties of an obstacle, including itsshape, dimension, pose (position and orientation), and velocity (linear and angular), are defined in the model. Theobstacle surface is represented by a super quadratic function whose parameters are adjusted to describe differentshapes and dimensions. Pseudo-distance is defined to evaluate the proximity extent between the manipulator andan obstacle. Considering multiple different obstacles, we present an approach to normalize the pseudo-distances. The self-motion of the redundant manipulator was used to optimize the normalized pseudo-distance by adaptiveredundancy resolution. By ensuring that the pseudo-distance was always larger than the safety threshold value,collisions with the obstacles were avoided. The proposed method solved the problem for which the Euclideandistance was difficult, or even impossible, to calculate for 3-D cases. When handling multiple different obstacles, theproposed method was much easier and had higher computational efficiency than previous methods. The proposedmethod was verified by the simulation of typical missions.
Tzu-Bin Lin,Li-Yi Wang,Mu-Yu Wang 아시아영어교육학회 2018 The Journal of Asia TEFL Vol.15 No.3
In the current body of knowledge about the influence of native English-speaking teachers (NESTs) on the professional identity of non-native English-speaking teachers (NNESTs), the fundamental question of ‘What exactly do native English speakers (NESs) mean to NNESTs?’ has been left unanswered and the voices of preservice NNESTs are largely absent. This study examined the influence of NESTs as ‘significant others’ in the English language teaching profession on preservice NNESTs’ identity by looking into how preservice NNESTs interpret the term native English speakers, accept native speaker norms, and respond to the active recruitment of NESTs through the national policy in Taiwan. Survey and interview data were collected from 258 preservice English teachers. The findings show that although the participants held diverse views on who constitute NESs, they shared a unanimous subscribingto native-speakerism. The participants gave conditional support to the policy of recruiting NESTs while highlighting their opposition to uncertified NESTs and differentiated payment. Implications to teacher education and policy decisions are provided.
Cai, Bin,Wang, Mu-Yong,Liao, Kai,Xu, Yan-Song,Wei, Wei-Yuan,Zhuang, Yuan,Zhang, Sen Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.20
Background: Studies have shown the existence of gender- and age-related differences in the incidence and anatomic distribution of colorectal cancers. The purposes of this study were to analyze the distribution characteristics of colorectal cancer patients regarding gender, age, location and tumor size in the course of colonoscopy. Materials and Methods: All colorectal cancer patients who underwent colonoscopy in the First Affiliated Hospital of Guangxi Medical University from 2003 to 2012 were included in our retrospective study. Demographic information (age and gender) and colonoscopy report information (tumor size and location) were collected and analyzed. To compare the gender differences in tumor location and tumor size, as well as the size differences in tumor location, the chi-square test was used. Results: A total of 3, 369 colorectal cancer patients (2, 007 men vs 1, 362 women) were included in our study. Statistical analysis showed there was no gender difference in the anatomic distribution of the tumors (p>0.05). However, there was a gender difference in tumor size (p<0.05). In addition, our study found there was a significant difference in tumor size between rectal and colon tumors (p<0.001). Conclusions: There was no gender difference in the anatomic distribution of colorectal tumors. In addition, tumors observed in men were larger than in women.
Experimental study of cured dust layer structure parameters based on semantic segmentation
Li Bin,Ji Zhongli,Mu Junfeng,Ren Yulin,Liu Zhen 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.9
The structural properties of the dust layer, including its thickness, porosity, and particle size distribution, play a critical role in ensuring the high precision and long-term stability of filter elements. However, observing these properties is challenging due to the weak adherence and cohesiveness of the layer. To address this issue, atomization thermosetting glue was used to achieve pre-curing, and the entire dust layer was cured with epoxy resin. After the sample was frozen and fractured using liquid nitrogen, the boundaries of the dust particles became plainly visible. Traditional binarization techniques were insufficient in identifying the edges of the dust particles since the grayscale values of particles and their environment partially overlap. As a result, a deep learning model based on the DeeplabV3+ network architecture was used to identify particles in the dust layer and achieved an accuracy of 90.99%. The research reveals that pulse-jet cleaning can double the thickness of the local dust layer on adjacent filter elements. Additionally, the surface morphology of the filter element significantly impacts the shape and thickness of the dust layer, causing it to change dramatically. Uneven thickness of the dust layer can result in a higher number of dust particles passing through the filter element membrane.