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Unique Common Fixed Point in b2 Metric Spaces  [PDF]
Jinxing Cui, Jinwei Zhao, Linan Zhong
Open Access Library Journal (OALib Journal) , 2017, DOI: 10.4236/oalib.1103896
Abstract:
We establish some common fixed and common coincidence point theorems for expansive type mappings in the setting of b2 metric space. Our results extend some known results in metric spaces to b2 metric space. The research is meaningful and I recommend it to be published when the followings have been improved.
Fixed Point Results for Weakly C-Contraction Mapping in Modular Metric Spaces  [PDF]
Jinwei Zhao, Qianqian Zhao, Bo Jin, Linan Zhong
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104061
Abstract:
In this paper, we introduce the concept of weakly C-contraction mapping in modular metric spaces. And we established some fixed point results in w-complete spaces. Our results encompass various generalizations of Banach contraction.
Association of GSTP1 Ile105Val Polymorphism and Risk of Head and Neck Cancers: A Meta-Analysis of 28 Case-Control Studies
Juntian Lang, Xicheng Song, Jinwei Cheng, Shuwei Zhao, Jingping Fan
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0048132
Abstract: Background and Aims The Glutathione S-transferase P1 (GSTP1) polymorphism have been considered a risk modifier for developing head and neck cancer (HNC) in many studies; however, the results of such studies are inconsistent. The aim of this study was to evaluate the possible association between the GSTP1 Ile105Val polymorphism and risk of HNC. Method We performed a search in the relevant electronic database and a meta-analysis based on 28 published case–control studies that included 6,404 cases and 6,523 controls. To take into account the possibility of heterogeneity across the studies, a Chi-square based I2-statistic test was performed. Crude pooled odds ratios (ORs) with 95% confidence intervals (CIs) were assessed using both fixed-effects and random-effects models. Results The results of this meta-analysis showed that the GSTP1 Ile105Val polymorphism was not significantly associated with risk of HNC in the overall study population (pooled OR 1.00, 95% CI 0.92–1.09) or in subgroup analyses stratified by ethnicity, sample size, tumor site or publication year. Moreover, substantial evidence of heterogeneity among the studies was observed. Publication year was identified as the main cause of heterogeneity. Conclusion This meta-analysis does not support a significant association between the GSTP1 Ile105Val polymorphism and risk of HNC.
Sputtering Rates of Alloys in Glow Discharge
Jianshi REN,Gongshu ZHANG Zhenshu WANG,Jinwei ZHAO,

材料科学技术学报 , 1995,
Abstract: The sputtering rates of alloys were investigated under constant Ar pressure and voltage supplied.The alloys studied in this work range from binary intermetallic alloys to ternary and quaternary alloys. It is revealed that the sputtering rates of alloy targets under steady states are where q is the sputtering rates of alloys, Ci the weight percentage of i-th component in the alloy,and qi0 the sputtering rate of pure metal of i-th component.
Plumpness Recognition and Quantification of Rapeseeds using Computer Vision
Jinwei Li,Guiping Liao,Xiaojuan Yu,Zhao Tong
Journal of Software , 2010, DOI: 10.4304/jsw.5.9.1038-1047
Abstract: The plumpness is an important index of crop seed. However, traditional measurements are time-consuming and labor intensive. The computer vision technology, which may offer more efficient and non-destructive methods for measurement, has recently appeared. But it is very difficult to accurately estimate the plumpness of single seed by the ratio between area and perimeter because of the diversity of rapeseed seed’s size. This paper focused on rapeseed seed plumpness recognition and quantification, based on computer vision. A new method, the coefficient of variation of radius (CVR), was used to estimate seed plumpness. The recognition and quantification model for plumpness in single seed were established by using the fuzzy C-means (FCM) clustering and fuzzy math method. The plumpness of the seed is full if plumpness is greater than or equal to 0.6. Some correlative index are calculated and analyzed to verify the validity of this method. The tests show that there is no correlation between plumpness or plumpness ratio, and 1000-seed weight or equivalence diameter. But there are significantly partial correlation between plumpness or plumpness ratio, 1000-seed weight and equivalence diameter. Finally, plumpness ratio index is significantly different among the 12 varieties rapeseed was determined. With the mean value of plumpness ratio of rapeseed variety, the plumpness degree was plotted 10 grades. The results show that the application of computer vision technology is significantly valid for quantitative determination of plumpness in rapeseed seed.
Adaptive Stochastic Alternating Direction Method of Multipliers
Peilin Zhao,Jinwei Yang,Tong Zhang,Ping Li
Computer Science , 2013,
Abstract: The Alternating Direction Method of Multipliers (ADMM) has been studied for years. The traditional ADMM algorithm needs to compute, at each iteration, an (empirical) expected loss function on all training examples, resulting in a computational complexity proportional to the number of training examples. To reduce the time complexity, stochastic ADMM algorithms were proposed to replace the expected function with a random loss function associated with one uniformly drawn example plus a Bregman divergence. The Bregman divergence, however, is derived from a simple second order proximal function, the half squared norm, which could be a suboptimal choice. In this paper, we present a new family of stochastic ADMM algorithms with optimal second order proximal functions, which produce a new family of adaptive subgradient methods. We theoretically prove that their regret bounds are as good as the bounds which could be achieved by the best proximal function that can be chosen in hindsight. Encouraging empirical results on a variety of real-world datasets confirm the effectiveness and efficiency of the proposed algorithms.
Trace Interpolation Algorithm Based on Intersection Vehicle Movement Modeling  [PDF]
Jinwei Shen, Guangtao Xue
Wireless Sensor Network (WSN) , 2010, DOI: 10.4236/wsn.2010.211099
Abstract: Real vehicle tracking data play an important role in the research of routing in vehicle sensor networks. Most of the vehicle tracking data, however, were collected periodically and could not meet the requirements of real-time by many applications. Most of the existing trace interpolation algorithms use uniform interpolation methods and have low accuracy problem. From our observation, intersection vehicle status is critical to the vehicle movement. In this paper, we proposed a novel trace interpolation algorithm. Our algorithm used intersection vehicle movement modeling (IVMM) and velocity data mining (VDM) to assist the interpolation process. The algorithm is evaluated with real vehicle GPS data. Results show that our algorithm has much higher accuracy than traditional trace interpolation algorithms.
Expressiveness of a Provenance-Enabled Authorization Logic Jinwei Hu, Huazhong University of Science and Technology, China
Jinwei Hu
International Journal of Managing Information Technology (IJMIT) , 2010,
Abstract: In distributed environments, access control decisions depend on statements of multiple agents rather thanonly one central trusted party. However, existing policy languages put few emphasis on authorizationprovenances. The capability of managing these provenances is important and useful in various securityareas such as computer auditing and authorization recycling. Based on our previously proposed logic, wepresent several case studies of this logic. By doing this, we show its expressiveness and usefulness insecurity arena.
Differential equations and logarithmic intertwining operators for strongly graded vertex algebras
Jinwei Yang
Mathematics , 2013,
Abstract: We derive certain systems of differential equations for matrix elements of products and iterates of logarithmic intertwining operators among strongly graded generalized modules for a strongly graded conformal vertex algebra under suitable assumptions. Using these systems of differential equations, we verify the convergence and extension property needed in the logarithmic tensor category theory for such strongly graded generalized modules developed by Huang, Lepowsky and Zhang.
On associative algebras, modules and twisted modules for vertex operator algebras
Jinwei Yang
Mathematics , 2014,
Abstract: We give a new construction of functors from the category of modules for the associative algebras $A_n(V)$ and $A_g(V)$ associated with a vertex operator algebra $V$, defined by Dong, Li and Mason, to the category of admissible $V$-modules and admissible twisted $V$-modules, respectively, using the method developed in the joint work \cite{HY1} with Y.-Z. Huang. The functors were first constructed by Dong, Li and Mason, but the importance of the new method, as in \cite{HY1}, is that we can apply the method to study objects without the commutator formula in the representation theory of vertex operator algebras.
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