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Search Results: 1 - 10 of 120415 matches for " Hongyan Wang "
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AlSi11/ Si3N4 Interpenetrating Composites Tribology Properties of Aluminum Matris Composites  [PDF]
Hongyan Wang, Shouren Wang, Gaozhi Liu, Yingzi Wang
Advances in Materials Physics and Chemistry (AMPC) , 2012, DOI: 10.4236/ampc.2012.24B034
Abstract: In present work, the metal-ceramic interpenetrating composites (IPCs) as AlSi11/ Si3N4 are fabricated by infiltrating technique. IPCs exhibit special characterization of brittle ceramic reinforced phase introduced by ductile metal matrix phase. During the sliding wear processes, IPCs exhibit four wear mechanism such as initial adhesive wear, mixed adhesive and abrasive wear, adhesive wear and final abrasive wear. Reinforcements inhibit plastic flow and restrict propagation of wear cracks. Increase in the volume fraction of reinforcement leads to improvement in the wear resistance. Under higher load and lower round speed conditions, the friction coefficients are lower than that of relative conditions.
Detection and characterization of regulatory elements using probabilistic conditional random field and hidden Markov models
Hongyan Wang,Xiaobo Zhou
Chinese Journal of Cancer , 2013, DOI: 10.5732/cjc.012.10112
Abstract: By altering the electrostatic charge of histones or providing binding sites to protein recognition mole-cules, Chromatin marks have been proposed to regulate gene expression, a property that has motivated researchers to link these marks to cis-regulatory elements. With the help of next generation sequencing technologies, we can now correlate one specific chromatin mark with regulatory elements (e.g. enhancers or promoters) and also build tools, such as hidden Markov models, to gain insight into mark combinations. However, hidden Markov models have limitation for their character of generative models and assume that a current observation depends only on a current hidden state in the chain. Here, we employed two graphical probabilistic models, namely the linear conditional random field model and multivariate hidden Markov model, to mark gene regions with different states based on recurrent and spatially coherent character of these eight marks. Both models revealed chromatin states that may correspond to enhancers and promoters, transcribed regions, transcriptional elongation, and low-signal regions. We also found that the linear conditional random field model was more effective than the hidden Markov model in recognizing regulatory elements, such as promoter-, enhancer-, and transcriptional elongation-associated regions, which gives us a better choice.
A new method for designing a developable surface utilizing the surface pencil through a given curve
Hongyan Zhao,Guojin Wang,
Hongyan Zhao
,Guojin Wang

自然科学进展 , 2008,
Abstract: This paper proposes a new method for designing a developable surface by constructing a surface pencil passing through a given curve, which is quite in accord with the practice in industry design and manufacture. By utilizing the Frenet trihedron frame, we derive the necessary and sufficient conditions to construct a developable surface through a given curve. Considering the requirements in shoemaking and garment-manufacture industries, we also study the special case of specifying the given curve as a geodesic. The given geodesic can be classified into three types corresponding to each type of developable surface. We also present the polynomial representation of the developable surface. The algorithm is convenient and efficient for applications in engineering.
Dislocation Velocity Exponent and the Strain Rate

Hongyan LIU,Xiaowei WANG,

材料科学技术学报 , 2001,
Abstract: The process of dislocation multiplication has been described hv chaos theory, trying to reveal the connection between the microstructures on the mesoscopic scale and the mechanical properties of material on the macroscopic scale. The relationship between the dislocation velocity exponent and the maximum of strain rate is given. The results obtained from logistic equation with exponent and the dislocation multiplication dynamic equation are compared. A scale law in one-dimension-map model with exponent is shown when the exponents of equations are changed.
Genetic Diversity and Population Structure of North China Mountain Walnut Revealed by ISSR  [PDF]
Aiqing Ji, Yina Wang, Guoliang Wu, Wenjiang Wu, Hongyan Yang, Qihai Wang
American Journal of Plant Sciences (AJPS) , 2014, DOI: 10.4236/ajps.2014.521335
Abstract: North China Mountain Walnut (NCMW) is one of the ancestors of extant cultivated species, and a valuable gene resource for resistance breeding of walnut in China. Inter-Simple Sequence Repeat (ISSR) primers were designed to evaluate the level and pattern of genetic diversity in eight populations of NCMW. Nine ISSR primers yielded 91 amplification products with different sizes, of which 84 (92.31%) were polymorphic. A high species-level genetic diversity was detected with Nei’s (H = 0.2592) and Shannon’s diversity (I = 0.4003). In contrast, the population-level genetic diversity was relatively lower (PPB = 43.27%, H = 0.1347, I = 0.1862). Coefficient of populations differentiation (GST) was 0.5066, indicating that inter-population and intra-population variation contributed 50.66% and 49.34% respectively to the total genetic variability. This relative level of variation was further supported by AMOVA analysis. Limited gene flow (Nm = 0.5133.), habitat fragmentation and geographical isolation might be responsible for the population structure of NCMW. UPGMA cluster analysis classified the eight populations into three groups which showed no significant relationship between the genetic similarity coefficient and geographic origin but showed remarkable association with morpho-physiological characters, particularly nut traits. The results of the study provide species-level and population-level genetic profiles for further exploitation and conservation of genetic diversity of NCMW.
Global Periodic Attractors for a Class of Infinite Dimensional Dissipative Dynamical Systems  [PDF]
Hongyan Li
Advances in Pure Mathematics (APM) , 2013, DOI: 10.4236/apm.2013.35067
Abstract:

In this paper we consider the existence of a global periodic attractor for a class of infinite dimensional dissipative equations under homogeneous Dirichlet boundary conditions. It is proved that in a certain parameter, for an arbitrary timeperiodic driving force, the system has a unique periodic solution attracting any bounded set exponentially in the phase space, which implies that the system behaves exactly as a one-dimensional system. We mention, in particular, that the obtained result can be used to prove the existence of the global periodic attractor for abstract parabolic problems.

Uniform Exponential Attractors for Non-Autonomous Strongly Damped Wave Equations  [PDF]
Hongyan Li
Journal of Applied Mathematics and Physics (JAMP) , 2014, DOI: 10.4236/jamp.2014.28086
Abstract:

In this paper, we study the existence of exponential attractors for strongly damped wave equations with a time-dependent driving force. To this end, the uniform H?lder continuity is established to the variation of the process in the phase apace. In a certain parameter region, the exponential attractor is a uniformly exponentially attracting time-dependent set in the phase apace, and is finite-dimensional no matter how complex the dependence of the external forces on time is. On this basis, we also obtain the existence of the infinite-dimensional uniform exponential attractor for the system.

Tetraaquabis[4-(imidazol-1-yl-κN3)benzoato]manganese(II)
Lei Zhu,Dabin Wang,Hongyan Xu
Acta Crystallographica Section E , 2010, DOI: 10.1107/s1600536810012638
Abstract: In the title compound, [Mn(C10H7N2O2)2(H2O)4], the MnII atom, lying on an inversion center, has an octahedral environment with four coordinated water molecules in the equatorial plane and two N atoms from two 4-(imidazol-1-yl)benzoate ligands at the axial sites. The complex molecules are connected into a three-dimensional network by extensive hydrogen bonds between the water molecules and the carboxylate O atoms.
Application of GSO for Load Allocation between Hydropower Units and Its Model Analysis based on Multi-objective
Liying Wang,Linming Zhao,Hongyan Yan
Journal of Computers , 2012, DOI: 10.4304/jcp.7.5.1135-1141
Abstract: The optimum load distribution between the hydropower units is an effective measure for reducing the total water rate and increasing the energy output of a hydropower station, and it is becoming a more interesting studying topic. In order to increase the economic benefit of the station, a multi-objective optimization model of load allocation between hydropower units is established in accordance with the characteristics and particularity of the hydropower station, and the minimum water rate of the station is used as the optimal objective, the Glowworm Swarm Optimization (GSO) algorithm is applied to optimization of the model, The simulation shows the method could easily get the best solutions of load allocation between hydropower units and reflect the actual operation situation of the hydropower station much better. So the proposed scheme has an important reference value for other hydropower stations.
Disruption Management Recovery Model of Distribution Delay with Service Priority
Li Jiang,Hongyan Wang,Bin Ding
Asian Social Science , 2013, DOI: 10.5539/ass.v9n2p170
Abstract: During the process logistics distribution, distribution delay would decrease customer service level, some customers especially key customers will take some new suppliers with higher service level to replace the existing suppliers, and this change will brings huge risk even great loss to the origin suppliers. To help suppliers success to keep old key customers and reduce their risk of key customer loss, this study brings disruption management idea into vehicle routing problem (VRP), presents a delivery service priority method which considers customers’ service priority and provide prior delivery service to key customers in their time window. A single-vehicle delivery delay disruption management recovery model with service priority and a multi-vehicle delivery delay disruption management recovery model with service priority are constructed to ensure all the key customers’ service level when distribution delay occurred. Then, an improved Genetic algorithm is designed to solve them. Finally, a simulation example model is presented to demonstrate the feasibility and validity of the proposed models and algorithm. This study provides two referenced models and solution algorithm for disruption management of logistics distribution network composed by one supplier (or a third-party logistics company) and multiple customers.
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