http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Yunbo Chen (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
Yunbo Chen,Xiangyu Zhu,Luying Chen,Bijia Wang,ZhiPing Mao,Xueling Feng,Xiaofeng Sui,Hong Xu 한국섬유공학회 2022 Fibers and polymers Vol.23 No.9
The lack of thermoregulating functionality and high flammability for cotton fabrics greatly restricts theirapplication in high-performance fields. Herein, we report a versatile layer-by-layer (LBL) assembly strategy for introducing amultilayered film consisting of phase change microcapsules and ammonium polyphosphate to cotton fabric, endowing cottonwith thermoregulation and flame retardant properties. The coated fabrics were characterized based on scanning electronmicroscopy (SEM), water-vapor transmission rate (WVT), thermogravimetry (TG), differential scanning calorimetry (DSC),limiting oxygen index (LOI) and infrared thermal imaging. A fabric deposited with 20 bilayers (MCPM/APP-20) shows anappropriate WVT (50.57 g/m2·h) and improved flame retardancy with an LOI of 24.5 % and residual carbon of 34.53 %. Italso shows a melting enthalpy of 30.09 J/g, which results in a temperature difference of 6.4 °C compared with pristine cotton. The functional properties endowed by the LBL assembly are found to be reasonably durable, with the melting enthalpy andresidual carbon of MPCM/APP-20 reduced to 17.69 J/g and 19.64 %, respectively, after 30 laundering cycles. This studyprovides a convenient way to develop multifunctional cotton fabrics that can be good candidates for high-performancetextiles.
-
Application of Soft X-ray Tomography on HL-2A
yunbo DONG,Bingzhong FU,Chengyuan CHEN,Lianghua YAO,Xuantong DING,Yi LIU 한국물리학회 2006 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.49 No.III
Soft X-ray tomography is an important tool to study various phenomena in fusion plasmas, such as MHD events, sawteeth, and disruption. Central MHD instabilities can be observed with pinhole cameras to record soft X-ray emission from the plasma along 120 chords with high temporal resolution on HL-2A. Tomographic inversion can be obtained by various methods. The main tomography reconstruction techniques applied to soft X-ray tomography on HL-2A were the Cormack method [1] and Bessel expansion [2]. Using Bessel expansion, we can decrease the expansion term and thus reconstruct a fine image near the boundary. However, the precision of the center of the reconstructed image is lower than that by using the Cormack method. The soft X-ray system mainly detects the MHD instabilities of the central plasma, so we choose the Cormack method to reconstruct the internal magnetic structure of the plasma on HL-2A.TP
-
A dual path encoder-decoder network for placental vessel segmentation in fetoscopic surgery
YunBo Rao,Tian Tan,Shaoning Zeng,Zhanglin Chen,Jihong Sun 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.1
A fetoscope is an optical endoscope, which is often applied in fetoscopic laser photocoagulation to treat twin-to-twin transfusion syndrome. In an operation, the clinician needs to observe the abnormal placental vessels through the endoscope, so as to guide the operation. However, low-quality imaging and narrow field of view of the fetoscope increase the difficulty of the operation. Introducing an accurate placental vessel segmentation of fetoscopic images can assist the fetoscopic laser photocoagulation and help identify the abnormal vessels. This study proposes a method to solve the above problems. A novel encoder-decoder network with a dual-path structure is proposed to segment the placental vessels in fetoscopic images. In particular, we introduce a channel attention mechanism and a continuous convolution structure to obtain multi-scale features with their weights. Moreover, a switching connection is inserted between the corresponding blocks of the two paths to strengthen their relationship. According to the results of a set of blood vessel segmentation experiments conducted on a public fetoscopic image dataset, our method has achieved higher scores than the current mainstream segmentation methods, raising the dice similarity coefficient, intersection over union, and pixel accuracy by 5.80%, 8.39% and 0.62%, respectively.
-
Efficient Visual Place Recognition by Adaptive CNN Landmark Matching
( Yutian Chen ),( Wenyan Gan ),( Yi Zhu ),( Hui Tian ),( Cong Wang ),( Wenfeng Ma ),( Yunbo Li ),( Dong Wang ),( Jixian He ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.11
Visual place recognition (VPR) is a fundamental yet challenging task of mobile robot navigation and localization. The existing VPR methods are usually based on some pairwise similarity of image descriptors, so they are sensitive to visual appearance change and also computationally expensive. This paper proposes a simple yet effective four-step method that achieves adaptive convolutional neural network (CNN) landmark matching for VPR. First, based on the features extracted from existing CNN models, the regions with higher significance scores are selected as landmarks. Then, according to the coordinate positions of potential landmarks, landmark matching is improved by removing mismatched landmark pairs. Finally, considering the significance scores obtained in the first step, robust image retrieval is performed based on adaptive landmark matching, and it gives more weight to the landmark matching pairs with higher significance scores. To verify the efficiency and robustness of the proposed method, evaluations are conducted on standard benchmark datasets. The experimental results indicate that the proposed method reduces the feature representation space of place images by more than 75% with negligible loss in recognition precision. Also, it achieves a fast matching speed in similarity calculation, satisfying the real-time requirement.
-
Xiaogang Lu,Zhenghua Lin,Peng Pan,Yunbo Chen,Lingli Zuo,Chunming Li 한양대학교 세라믹연구소 2021 Journal of Ceramic Processing Research Vol.22 No.6
WC-10Co-4Cr have been well known material with attractive corrosion resistance and excellent hardness in the WC-basedcoatings. To widen the application of the WC-10Co-4Cr coatings deposited on high-hardness metal cutting tools, theinvestigation of its preparation parameters and properties are required. In this study, dense micro-structured WC-10Co-4Crcoatings deposited on high-hardness M42 steel were performed with high velocity oxy-fuel (HVOF) spray process. Theprepared coatings exhibit excellent properties by improving the size of spray gun and injecting high flow nitrogen into theflame stream. A maximum micro-hardness of 1353.3 HV0.3 was achieved. In addition, the frictional properties of uncoated M42steel and the WC-10Co-4Cr coating were comparably studied under dry sliding wear tests. A low friction coefficient of 0.34-0.37 was achieved for WC-10Co-4Cr coating, showing a 57% decrease than that of uncoated M42 steel. X-ray diffractometrywas used to identify the phase composition, and scanning electron microscopy was adopted to characterize the microstructureof deposited coatings and worn-out surfaces.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
