HYBRID CHAPLYGIN GAS

ZHANG, HONGSHENG,ZHU, ZONG-HONG,YANG, LIHUA World Scientific 2009 Modern Physics Letters A Vol.24 No.7

<P> Hybrid Chaplygin gas model is put forward, in which the gases play the role of dark energy. For this model the coincidence problem is greatly alleviated. The effective equation of state of the dark energy may cross the phantom divide w = -1. Furthermore, the crossing behavior is decoupled from any gravity theories. In the present model, w < -1 is only a transient behavior. There is a de Sitter attractor in the future infinity. Hence, the big rip singularity, which often afflicts the models with matter whose effective equation of state less than -1, naturally disappears. There exist stable scaling solutions, both at the early universe and the late universe. We discuss the perturbation growth of this model. We find that the index is consistent with observations. </P>

APPLICATION OF DNABARCODING ON SEA URCHIN IDENTIFICATION AND IUU REGULATION

Xuan Dong,Hongsheng Yang,Yuming Feng,Jun Liang 한국수산과학회 양식분과 2015 한국수산과학회 양식분과 학술대회 Vol.2015 No.5

Genetic homogeneity between populations of cotton bollworm from Xinjiang, China

Dongmei Wang,Xianming Yang,Haiqiang Li,Akedan Wuwaishi,Ruifeng Ding,Haobin Li,Hongsheng Pan,Jian Liu,Yao Xu,Yan-Hui Lu 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.1

We studied the population structure of cotton bollworm (CBW), Helicoverpa armigera (Hübner) (Lepidoptera:Noctuidae), in Xinjiang, the largest cotton-growing region in China, using a fragment of cytochrome c oxidasesubunit I (COI) gene. Alignments of all 192 COI sequences revealed 28 haplotypes including 23 in southernXinjiang, 5 in eastern Xinjiang and 13 in northern Xinjiang. Negative and significant values of neutrality tests forthe Tajima's D and Fu's FS parameters, combined with the high values of haplotype diversity (Hd), low values ofnucleotide diversity (π) and a high number of low frequency haplotypes indicated a recent demographic expansionof Xinjiang CBW populations. Analysis of molecular variation (AMOVA) indicated low and non-significantgenetic structure, regardless of geographical scale or crop, with most of genetic variation occurringwithin local CBW populations. Pairwise FST analyses also indicated low genetic differentiation. This demographicevent and high gene flow could be responsible for the low genetic structure currently found. CBW populations inXinjiang need to be considered as one panmictic unit in its management, especially for the design of refuges todelay the development of resistance by this migratory pest to transgenic Bt (Bacillus thuringiensis) cotton.

Prognostics of capacitors for power converters based on data augmentation and IPSO‑GRU

Quan Sun,Lichen Yang,Hongsheng Li,Guodong Sun 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.12

Aluminum electrolytic capacitors (AECs) play a crucial role in traction power electronic converters, which are also the most likely to be responsible for breakdowns. Fault prediction for AECs is helpful to realize preventive maintenance and to reduce the cost of the entire system. However, it is restricted by the collected data scale and the period of the deteriorative process of AECs. Thus, this paper takes the advantages of the synthetic minority oversampling technique (SMOTE) that is used to augment the degradation data information and the gate recurrent unit (GRU) that can be suitable for degradation samples to establish a prediction model. An improved particle swarm optimization (IPSO) algorithm is utilized to optimize the hyper parameters of the GRU to promote the feature learning and prediction performance. Thereupon, a prognostics model based on data augmentation and a GRU optimized by IPSO is simulated on a degradation dataset of AECs under an aging test. The results show that the integrated prediction model achieves better accuracy and reliability when compared to some traditional models. Furthermore, the relative error of each prediction point is less than 2.5% for single step and 3.0% for multi-step, respectively.

PatchMatch Filter: Edge-Aware Filtering Meets Randomized Search for Visual Correspondence

Lu, Jiangbo,Li, Yu,Yang, Hongsheng,Min, Dongbo,Eng, Weiyong,Do, Minh N. IEEE 2017 IEEE transactions on pattern analysis and machine Vol.39 No.9

<P>Though many tasks in computer vision can be formulated elegantly as pixel-labeling problems, a typical challenge discouraging such a discrete formulation is often due to computational efficiency. Recent studies on fast cost volume filtering based on efficient edge-aware filters provide a fast alternative to solve discrete labeling problems, with the complexity independent of the support window size. However, these methods still have to step through the entire cost volume exhaustively, which makes the solution speed scale linearly with the label space size. When the label space is huge or even infinite, which is often the case for (subpixel-accurate) stereo and optical flow estimation, their computational complexity becomes quickly unacceptable. Developed to search approximate nearest neighbors rapidly, the PatchMatch method can significantly reduce the complexity dependency on the search space size. But, its pixel-wise randomized search and fragmented data access within the 3D cost volume seriously hinder the application of efficient cost slice filtering. This paper presents a generic and fast computational framework for general multi-labeling problems called PatchMatch Filter (PMF). We explore effective and efficient strategies to weave together these two fundamental techniques developed in isolation, i.e., PatchMatch-based randomized search and efficient edge-aware image filtering. By decompositing an image into compact superpixels, we also propose superpixel-based novel search strategies that generalize and improve the original PatchMatch method. Further motivated to improve the regularization strength, we propose a simple yet effective cross-scale consistency constraint, which handles labeling estimation for large low-textured regions more reliably than a single-scale PMF algorithm. Focusing on dense correspondence field estimation in this paper, we demonstrate PMF's applications in stereo and optical flow. Our PMF methods achieve top-tier correspondence accuracy but run much faster than other related competing methods, often giving over 10-100 times speedup.</P>

Vehicle Platoon Tracking Control Based on Adaptive Neural Network Algorithm

Jie Huang,Jianfei Chen,Hongsheng Yang,Dongfang Li 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.10

To improve the tracking efficiency of the platoon during driving and ensure the spacing safety between vehicles, a platoon tracking control strategy based on the adaptive neural network algorithm is developed. In this method, the nonlinear term in the vehicle model is estimated by the adaptive neural network, and the estimated value is used to compensate for the control input and enhance the tracking performance of the vehicle platoon. In addition, the estimation update law of target trajectory and adjacent vehicle acceleration is designed through the adaptive method, which relaxes the trajectory generation requirements of virtual vehicles, improves the tracking performance of vehicle platoon, reduces the measurement and communication burden in the platoon, and ensures the security and stability of vehicle platoon system. After constructing the vehicle and desired path model, the control objective is formulated, and the adaptive neural network algorithm controller is designed. Meanwhile, the stability of the controller is verified by the Lyapunov method. The feasibility of the proposed method is proved by simulation and experiment. Rigorous theoretical derivation and experiments confirm that the proposed strategy has obvious advantages over other existing strategies.

Enhanced separation for paraffin wax using CO2-responsive emulsions based on switchable hydrophilicity solvents

Jie Qi,Xiaojiang Li,Xin Lv,Yang Ge,Jinyu Wang,Hongsheng Lu 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.110 No.-

Wax precipitation leads to destructive harms in the exploitation and transportation of petroleum. Solventtreatments can remove paraffin wax easily but the separation of solvent relying on distillation is admittedinefficient. Aiming at enhancing the separation and recovery performance of paraffin wax, CO2-responsive emulsion (SHS/W emulsion) based on switchable hydrophilicity solvents (SHS) is adopted. Since the paraffin wax is dissolved, emulsified, and dispersed by SHS/W emulsion, SHS/W emulsion exhibitsbetter removal performance than SHS. The paraffin wax is recovered effectively upon introducingCO2, which attributes to the transformation of SHS from hydrophobic to hydrophilic state. Comparedwith the SHS system, the recovery of paraffin wax is improved obviously by introducing surfactantSpan80. Owing to the deprotonation of SHS by bubbling N2 and heating, 77.6% SHS is recycled after recoveringparaffin wax. Here, the recycled SHS can be used to realize the removal of paraffin wax again. Thus,it is a promising and alternative strategy for realizing the sustainable and rapid removal of paraffin wax inthe petroleum industry.

Risk factors associated with impaired ovarian reserve in young women of reproductive age with Crohn’s disease

( Yue Zhao ),( Baili Chen ),( Yao He ),( Shenghong Zhang ),( Yun Qiu ),( Rui Feng ),( Hongsheng Yang ),( Zhirong Zeng ),( Shomron Ben-horin ),( Minhu Chen ),( Ren Mao ) 대한장연구학회 2020 Intestinal Research Vol.18 No.2

Background/Aims: Crohn’s disease (CD) primarily affects young female adults of reproductive age. Few studies have been conducted on this population’s ovarian reserve status. The aim of study was to investigate potential risk factors associated with low ovarian reserve, as reflected by serum anti-Müllerian hormone (AMH) in women of reproductive age with CD. Methods: This was a case-control study. Cases included 87 patients with established CD, and healthy controls were matched by age, height and weight in a 1:1 ratio. Serum AMH levels were measured by enzyme-linked immunosorbent assay. Results: The average serum AMH level was significantly lower in CD patients than in control group (2.47±2.08 ng/mL vs. 3.87±1.96 ng/mL, respectively, P<0.001). Serum AMH levels were comparable between CD patients and control group under 25 years of age (4.41±1.52 ng/mL vs. 3.49±2.10 ng/mL, P=0.06), however, serum AMH levels were significantly lower in CD patients over 25 years of age compared to control group (P<0.05). Multivariable analysis showed that an age greater than 25 (odds ratio [OR], 10.03; 95% confidence interval [CI], 1.90-52.93, P=0.007), active disease state (OR, 27.99; 95% CI, 6.13-127.95, P<0.001) and thalidomide use (OR, 15.66; 95% CI, 2.22-110.65, P=0.006) were independent risk factors associated with low ovarian reserve (serum AMH levels <2 ng/mL) in CD patients. Conclusions: Ovarian reserve is impaired in young women of reproductive age with CD. Age over 25 and an active disease state were both independently associated with low ovarian reserve. Thalidomide use could result in impaired ovarian reserve. (Intest Res 2020; 18:200-209)