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

Gradient Fusion Method for Night Video Enhancement

Yunbo Rao,Yuhong Zhang,Jianping Gou 한국전자통신연구원 2013 ETRI Journal Vol.35 No.5

To resolve video enhancement problems, a novel method of gradient domain fusion wherein gradient domain frames of the background in daytime video are fused with nighttime video frames is proposed. To verify the superiority of the proposed method, it is compared to conventional techniques. The implemented output of our method is shown to offer enhanced visual quality.

A Nomogram Model for Prediction of Tracheostomy in Patients With Traumatic Cervical Spinal Cord Injury

Yunbo Jian,Dawei Sun,Zhengfeng Zhang 대한척추신경외과학회 2022 Neurospine Vol.19 No.4

Objective: To develop a nomogram for the prediction of tracheostomy in patients with traumatic cervical spinal cord injury (TCSCI). Methods: A total of 689 TCSCI patients were included in our study. First, the variable selection was performed using between-group comparisons and LASSO regression analysis. Second, a multivariate logistic regression analysis (MLRA) with a step-by-step method was performed. A nomogram model was developed based on the MLRA. Finally, the model was validated on the training set and validation set. Results: The nomogram prediction model incorporated 5 predictors, including smoking history, dislocation, thoracic injury, American Spinal Injury Association (ASIA) grade, and neurological level of injury (NLI). The area under curve in the training group and in the validation group were 0.883 and 0.909, respectively. The Hosmer-Lemeshow test result was p = 0.153. From the decision curve analysis curve, the model performed well and was feasible to make beneficial clinical decisions. Conclusion: The nomogram combining dislocation, thoracic injury, ASIA grade A, NLI, and smoking history was validated as a reliable model for the prediction of tracheostomy.

Fruit Production and Storage in China

Yunbo Luo,Jiping Sheng 한국원예학회 2008 한국원예학회 기타간행물 Vol.- No.-

Ozonation of municipal wastewater effluent for trace organic contaminant abatement and disinfection with minimized by-product formation

Yunbo Lee 대한환경공학회 2015 대한환경공학회 학술발표논문집 Vol.2015 No.10

Fabrication of a Thermoregulating Cotton Fabric with Enhanced Flame Retardancy via Layer-by-layer Assembly

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.

Phosphate removal from aqueous solutions on fly ash with medium calcium content

Yunbo Wang,Deshuai Sun 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.7

Excessive discharge of phosphate into water bodies may cause eutrophication and affect the natural water quality. The adsorption behavior of phosphate from aqueous solution on fly ash was investigated by a medium calcium fly ash in weak acid solution. Experimental findings showed that removal of phosphate was pH-dependent with the maximum adsorption capacity at the initial solution pH of 5.0-7.0. The increment in the initial phosphate concentration and temperature enhanced the adsorption capacity. Kinetic studies of phosphate followed the pseudo-second-order model. The predominant removal mechanism was ligand exchange reaction on the basis of desorption experiment. The adsorbed phosphate was difficult to leach to the environment from the waste fly ash.

Present Status and Prospect of Fruit Production and Postharvest Research in China

Yunbo Luo,Jiping Sheng 한국원예학회 2005 원예과학기술지 Vol.23 No.1

China is a large agricultural country and one of centres of origin of fruit. More than 30 species of fruits are produced for economic purpose, such as apple, citrus, pear, grape, peach, pineapple, litchi, longan, mango, banana etc. At the present level of fruit production, China has become the largest producer in the world. However, the development of fruit production still faces great challenges, including high postharvest losses of products, oversupply of primary products, poor marketing systems, degradation of fruits species, unreasonable geographic distribution, and insufficiencies in commercialization treatment and cold chain system. Based on these conditons, the postharvest research work in our group approaches the problem in two ways, which means to investigate the ripening mechanism of fruit and the role of phytohormone ethylene in its on one hand, to study postharvest physiology and storage technologies and facilities for China local fruits on the other. In China, agricultural research so far has been mainly concentrated on the improvement of crop production to achieve self-sufficiency in food in order to support the growing population. It is claimed that, in the near future, the food problems will be more complex as patterns of food consumption have improved in the region along with rising incomes and social development. With the growth of economies of the world, especially that of China has come an increase in the demand for a range of fruits. Increased trade within and between countries has created an incentive for improvements in many aspects of the postharvest activities associated with these fruits. During the last decade or so there have been increased public sector research efforts which have focused on postharvest activities for fruits.

An efficent method of binocular data reconstruction

( Yunbo Rao ),( Xianshu Ding ),( Bojiang Fan ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.9

3D reconstruction based on binocular data is significant to machine vision. In our method, we propose a new and high efficiency 3D reconstruction approach by using a consumer camera aiming to: 1) address the configuration problem of dual camera in the binocular reconstruction system; 2) address stereo matching can hardly be done well problem in both time computing and precision. The kernel feature is firstly proposed in calibration stage to rectify the epipolar. Then, we segment the objects in the camera into background and foreground, for which system obtains the disparity by different method: local window matching and kernel feature-based matching. Extensive experiments demonstrate our proposed algorithm represents accurate 3D model.

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.