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Ting Dong,Waqas Ul Arifeen,Minchoel Kim,Jungwook Choi,Kisoo Yoo,Tae Jo Ko 한국섬유공학회 2020 Fibers and polymers Vol.21 No.10
Membranes were prepared from polyacrylonitrile (PAN) fibers with uniform diameter for lithium-ion batteryseparators using optimized electrospinning parameters. In this work, the coefficient of variation (CV) is proposed as one ofthe indexes to evaluate the uniform consistency of fiber diameter. The most uniform fibrous membrane was compared with acontrol group that had different uniformity. The effects of the uniformity of the fiber diameter were studied in terms of themembrane porosity, electrolyte absorption, mechanical tensile strength, and thermal stability. The membranes wereassembled into coin cells with lithium cobaltite cathodes and graphite anodes, and the performance of the cells was tested. Asthe uniformity of the fiber diameter increased, the ionic conductivity improved and the interface resistance decreased. Theproposed separator improves the discharge capacity (181 mAh·g-1 at the 0.2C rate), C-rate cycling performance, andCoulombic efficiency (99.64 %), which indicates that the uniform membrane could be a candidate for high-performancelithium-ion battery separators.
Ting-Hua Yi,Hong-Nan Li,Xu-Dong Zhang,Guang-Dong Zhou 국제구조공학회 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.54 No.2
Optimal sensor placement (OSP) is an integral component in the design of an effectivestructural health monitoring (SHM) system. This paper describes the implementation of a novelcollaborative-climb monkey algorithm (CMA), which combines the artificial fish swarm algorithm (AFSA)with the monkey algorithm (MA), as a strategy for the optimal placement of a predefined number of sensors. Different from the original MA, the dual-structure coding method is adopted for the representation of designvariables. The collaborative-climb process that can make the full use of the monkeys’ experiences to guidethe movement is proposed and incorporated in the CMA to speed up the search efficiency of the algorithm. The effectiveness of the proposed algorithm is demonstrated by a numerical example with a high-risestructure. The results show that the proposed CMA algorithm can provide a robust design for sensornetworks, which exhibits superior convergence characteristics when compared to the original MA using thedual-structure coding method.
Dong, Ting,Xu, Zheng-Yi,Park, Youngmin,Kim, Dae Heon,Lee, Yongjik,Hwang, Inhwan American Society of Plant Biologists 2014 Plant Physiology Vol.165 No.1
<P><I>A glucosyltransferase and its two homologs play a critical role in ABA homeostasis by converting active ABA to an inactive ABA conjugate depending on intrinsic cellular and environmental conditions in plants</I>.</P>
Dispersal and Control of Anammox Granular Sludge at High Substrate Concentrations
Ting-Ting Chen,Ping Zheng,Li-Dong Shen,Chong-Jian Tang,Shuang Ding 한국생물공학회 2012 Biotechnology and Bioprocess Engineering Vol.17 No.5
This paper reports about the dispersal and control of anammox granular sludge at high substrate concentrations. The results demonstrate that anammox granular sludge would turn into flocculent sludge when the substrate concentrations exceed the inhibitory threshold concentrations, with an apparent drop in the settling velocity of anammox sludge from 73.73 to 16.49 m/h. Moreover, the sludge was washed out of the reactor and a decrease in the nitrogen removal rate from 23.82 to 16.97kg N/(m3/day) was observed. The dominant anammox bacteria in the granular and flocculent sludge were Candidatus Kuenenia stuttgartiensis; however, the contents of heme c and extracellular polymeric substances in the flocculent sludge were much lower than in the granular sludge. Furthermore, the chemical composition of extracellular polymeric substances was different. The high nitrite concentrations more than the inhibitory threshold concentrations were regarded as the reason for the observed granular sludge dispersal and deterioration in reactor performance. The apparent dispersed granular sludge and malfunction of reactor performance could be recovered by means of washing out the residual substrate from the reactor and then re-running the reactor from low substrate concentrations.
Yi, Ting-Hua,Zhou, Guang-Dong,Li, Hong-Nan,Zhang, Xu-Dong Techno-Press 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.54 No.2
Optimal sensor placement (OSP) is an integral component in the design of an effective structural health monitoring (SHM) system. This paper describes the implementation of a novel collaborative-climb monkey algorithm (CMA), which combines the artificial fish swarm algorithm (AFSA) with the monkey algorithm (MA), as a strategy for the optimal placement of a predefined number of sensors. Different from the original MA, the dual-structure coding method is adopted for the representation of design variables. The collaborative-climb process that can make the full use of the monkeys' experiences to guide the movement is proposed and incorporated in the CMA to speed up the search efficiency of the algorithm. The effectiveness of the proposed algorithm is demonstrated by a numerical example with a high-rise structure. The results show that the proposed CMA algorithm can provide a robust design for sensor networks, which exhibits superior convergence characteristics when compared to the original MA using the dual-structure coding method.
Wei-dong Wang,Li-hua Zhang,Jia-Yan Ni,Xiong-ying Jiang,Dong Chen,Yao-ting Chen,Hong-liang Sun,Jiang-hong Luo,Lin-feng Xu 대한영상의학회 2018 Korean Journal of Radiology Vol.19 No.4
Objective: To meta-analytically compare combined transarterial chemoembolization (TACE) plus radiofrequency ablation (RFA) and surgical resection (SR) for the treatment of hepatocellular carcinoma (HCC) within the Milan criteria. Materials and Methods: PubMed, Medline, Embase, and Cochrane Library were searched for studies comparing these two therapies that were published between January 2006 and August 2017. Overall survival rate (OS), recurrence-free survival rate (RFS), major complications and the average length of hospital stay were compared between these two therapies. Metaanalytic pooled odds ratio (OR) was calculated using TACE plus RFA as the base category. Results: Seven case-control studies and one randomized trial were identified. Meta-analytic results revealed that, compared with SR, TACE plus RFA had significantly higher 1-year OS (OR for survival = 0.50, p = 0.009) and lower major complications (OR = 1.88, p = 0.02) after therapy. Three studies reported on the length of hospital stay. The average length ± standard deviation reported in individual studies for SR and TACE plus RFA groups was 19.8 ± 8.4 days and 7.4 ± 2.2 days, respectively; 18.7 ± 4.9 days and 11.5 ± 6.9 days, respectively; and 16.6 ± 6.7 days and 8.5 ± 4.1 days, respectively (p < 0.0001 for all studies). Three or 5-year OS and 1-, 3-, or 5-year RFS did not significantly differ between the two therapies. Conclusion: Combined TACE plus RFA may be an alternative to SR for the treatment of patients with HCC within Milan the criteria. Non-randomized design in most of the original studies was a limitation.
Use of High-performance Graphics Processing Units for Power System Demand Forecasting
Ting He,Ke Meng,ZhaoYang Dong,Yong-Taek Oh,Yan Xu 대한전기학회 2010 Journal of Electrical Engineering & Technology Vol.5 No.3
Load forecasting has always been essential to the operation and planning of power systems in deregulated electricity markets. Various methods have been proposed for load forecasting, and the neural network is one of the most widely accepted and used techniques. However, to obtain more accurate results, more information is needed as input variables, resulting in huge computational costs in the learning process. In this paper, to reduce training time in multi-layer perceptron-based short-term load forecasting, a graphics processing unit (GPU)-based computing method is introduced. The proposed approach is tested using the Korea electricity market historical demand data set. Results show that GPU-based computing greatly reduces computational costs.
( Ting Zhao ),( Dong Liu ),( Hengfei Ren ),( Xinchi Shi ),( Nan Zhao ),( Yong Chen ),( Hanjie Ying ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.12
In this study, a fibrous bed bioreactor (FBB) was used for D-lactic acid (D-LA) production by Sporolactobacillus inulinus Y2-8. Corn flour hydrolyzed with α-amylase and saccharifying enzyme was used as a cost-efficient and nutrient-rich substrate for D-LA production. A maximal starch conversion rate of 93.78% was obtained. The optimum pH for D-LA production was determined to be 6.5. Ammonia water was determined to be an ideal neutralizing agent, which improved the D-LA production and purification processes. Batch fermentation and fedbatch fermentation, with both free cells and immobilized cells, were compared to highlight the advantages of FBB fermentation. In batch mode, the D-LA production rate of FBB fermentation was 1.62 g/l/h, which was 37.29% higher than that of free-cell fermentation, and the D-LA optical purities of the two fermentation methods were above 99.00%. In fed-batch mode, the maximum D-LA concentration attained by FBB fermentation was 218.8 g/l, which was 37.67% higher than that of free-cell fermentation. Repeated-batch fermentation was performed to determine the long-term performance of the FBB system, and the data indicated that the average D-LA production rate was 1.62 g/l/h and the average yield was 0.98 g/g. Thus, hydrolyzed corn flour fermented by S. inulinus Y2-8 in a FBB may be used for improving D-LA fermentation by using ammonia water as the neutralizing agent.
Health monitoring sensor placement optimization for Canton Tower using virus monkey algorithm
Ting-Hua Yi,Hong-Nan Li,Xu-Dong Zhang 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.5
Placing sensors at appropriate locations is an important task in the design of an efficient structural health monitoring (SHM) system for a large-scale civil structure. In this paper, a hybrid optimization algorithm called virus monkey algorithm (VMA) based on the virus theory of evolution is proposed to seek the optimal placement of sensors. Firstly, the dual-structure coding method is adopted instead of binary coding method to code the solution. Then, the VMA is designed to incorporate two populations, a monkey population and a virus population, enabling the horizontal propagation between the monkey and virus individuals and the vertical inheritance of monkey’s position information from the previous to following position. Correspondingly, the monkey population in this paper is divided into the superior and inferior monkey populations, and the virus population is divided into the serious and slight virus populations. The serious virus is used to infect the inferior monkey to make it escape from the local optima, while the slight virus is adopted to infect the superior monkey to let it find a better result in the nearby area. This kind of novel virus infection operator enables the coevolution of monkey and virus populations. Finally, the effectiveness of the proposed VMA is demonstrated by designing the sensor network of the Canton Tower, the tallest TV Tower in China. Results show that innovations in the VMA proposed in this paper can improve the convergence of algorithm compared with the original monkey algorithm (MA).