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Search Results: 1 - 10 of 53282 matches for " Jun Peng "
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A Liability Division Method for Harmonic Pollution Based on Line-Transferred Power Components  [PDF]
Jianchun Peng, Jun Zhou, Hui Jiang
Journal of Power and Energy Engineering (JPEE) , 2015, DOI: 10.4236/jpee.2015.34035
Abstract:

The existing liability division methods for harmonic pollution are either inexplicit or incomplete in physical meaning. To compensate these defects, two new methods are proposed based on line-transferred power components in this paper. At first, all harmonic sources are represented by ideal equivalent current source, line current components and bus voltage components of a source are determined by stimulation of this source with all other sources disabled. Then, the line-trans- ferred power component owing to a source under all sources action together is determined by the theory of line-transferred power components, and called source’s line-transferred power component. At last, the liability of a source for line-end harmonic pollution is divided by two methods: the ration of the source’s line-transferred active power component to the total line-transferred power, and the ration of projection of the source’s line-transferred complex power component to absolute value of the total line-transferred complex power. These two methods are taken into account not only harmonic voltage but also harmonic current in the liability division. Simulation results show that the proposed liability division method based on active power component is the most effective and ideal one.

First Passage Time Moments of Jump-Diffusions with Markovian Switching
Jun Peng,Zaiming Liu
International Journal of Stochastic Analysis , 2011, DOI: 10.1155/2011/501360
Abstract: Using an integral equation associated with generalized backward Kolmogorov's equation for the transition probability density function, recurrence relations are derived for the moments of the time of first exit of jump-diffusions with Markovian switching. The results are used to find the expectation of first passage time of some financial models. 1. Introduction Owing to the increasing demands on regime-switching diffusions in financial engineering and wireless communications, much attention has been drawn to switching jump diffusion processes. For example, one of the early efforts of using such hybrid models for financial applications can be traced back to [1, 2], in which both the appreciation rate and the volatility of a stock depend on a continuous Markov chain. The introduction of such models makes it possible to describe stochastic volatility in a relatively simpler manner. A stock market may be considered to have two “modes” or “regimes”, up and down, resulting from the state of the underlying economy, the general mood of investors in the market, and so on. The rationale is that in the different modes or regimes, the volatility and return rates are very different. For instance, in a stock market, the regimes can be roughly divided into two states, bull market and bear market. The market sentiment and reaction to the two states are in stark contrast. Normally, a bare market is more volatile than that of a bull market. Another need is to capture the features of insurance policies that are subject to the economic or political environment changes. It is thus sensible and necessary to take such regime changes into consideration. Also due to the needs from modeling points of view, formulation of dividend optimization problem often results in complex models in order to take into consideration various scenarios arising in finance and insurance practice. For example, in lieu of the diffusion models or jump-diffusion models, one may consider such models with regime switching modulated by a continuous time Markov chain, in which the Markov chain is used to delineate the random environment. Adopting a Markov regime-switching model is an easy way to capture all the cyclical features of the drift and volatility of asset return depending on market environment. For a long time, lots of empirical evidences have supported the existence of regime-switching property in financial markets. For example, Lewellen found that expected returns on equities change over time in [3]. Schwert concluded that the volatilities of stock returns also vary substantially over time in
Analysis of Signal Attenuation of Continuous Wave in Drill String
Peng Jia,Jun Fang
Research Journal of Applied Sciences, Engineering and Technology , 2013,
Abstract: In this study, the friction model in non-Newtonian drilling fluid is developed to evaluate the signal attenuation in the information transmission with the continuous wave. A model of transient non-Newtonian power-law pipe flow is developed by assuming a steady viscosity varied only with the radius and the solution is derived analytically in complex domain and time domain. The frequency-dependent friction is developed based on the solution in the time domain and is used in the pressure wave transmission. And the analysis results show that the highest pressure amplification with resonant frequency increases with the power-law index n increase and the resonant frequency increases with the n decrease.
An Elementary Derivation of the Five Dimensional Myers-Perry Metric
Jun-Jin Peng
Physics , 2008, DOI: 10.1007/s10714-008-0660-2
Abstract: We derive the five dimensional Myers-Perry metric via an elementary method to solve the vacuum Einstein field equations directly. This method firstly proposed by Clotz is very simple since it merely involves four components of Ricci tensor and only requires us to deal with some equations without second derivatives' terms when the metric ansatz is assumed to take an appropriate form.
Thermal Bending of Circular Plates for Non-Axisymmetrical Problems  [PDF]
Zhengzhu Dong, Weihong Peng, Jun Li, Fashan Li
World Journal of Mechanics (WJM) , 2011, DOI: 10.4236/wjm.2011.12006
Abstract: Using the Green function, the boundary integral formula and natural boundary integral equation for thermal elastic problems are obtained. Then based on bending solutions to circular plates subjected to the non-axi- symmetrical load, by utilizing the Fourier series and convolution formulae, the bending solutions under non-axisymmetrical thermal conditions have been obtained. The calculating process is simple. Examples show the discussed methods are effective.
The nature of adhesion factors which lie on the surfaces of Lactobacillus adhering to cells  [PDF]
Xueyan Lin, Zhonghua Wang, Zhongxiang Niu, Jun Peng, Yun Wang
Advances in Bioscience and Biotechnology (ABB) , 2012, DOI: 10.4236/abb.2012.32023
Abstract: Lactobacillus adheres to intestinal epithelial cells and yeast fungus cells with the aid of adhesion factors expressed on its cell surface. To identify adhesion factors nature on the surface of Lactobacillus, an adhesion experiment was carried out by pre-treating the Lactobacillus supernatant with different concentrations of bovine serum albumin, trypsin and 100°C for 10min. Additionally, intestinal epithelial cells were treated with sodium iodate, trypsin and sugar inhibition tests to characterize the receptors in Lactobacillus that interact with intestinal epithelial cells. It was demonstrated that Lactobacillus adhesion ability was decreased (P < 0.01) after treating the supernatant with different concentrations of bovine serum albumin, trypsin and 100°C for 10 min respectively. The adhesion factor on the surface of Lactobacillus cells was identified as a D-mannose glycoprotein. This observation was confirmed after treating intestinal epithelial cells with sodium iodate and trypsin, and sugar inhibition tests. Wild type Lactobacillus can agglutinate yeast fungus cells but after being exposured to mannose, agglutination to yeast fungus cells is lost or reduced. Results from this study we also got that inactivated and live bacteria that similarly adhere to intestinal epithelial cells.
Experimental Studies on the Influence of HCO3- on Absorption and Desorption of CO2 from Ammonia Solution  [PDF]
Shaojian Jiang, Wei Zhong, Rui Peng, Yong Jiang, Jun Zhang
Advances in Materials Physics and Chemistry (AMPC) , 2012, DOI: 10.4236/ampc.2012.24B061
Abstract: With aqueous ammonia in the process of CO2 absorption and desorption to join sodium bicarbonate, the influence of HCO3- on CO2 absorption and desorption from ammonia solution was investigated through the experimental analysis of the desorption quantity of CO2, desorption rate, CO2 loading and the absorption rate. The experimental results showed that, in experimental conditions, The desorption rate decreased gradually with increasing ammonia concentrations. The desorption rate increased 12%, 17%, 19% and 28.8% when 1 mol/L of ammonia solution is added in 0.1 mol/L, 0.3 mol/L, 0.5 mol/L and 1 mol/L of sodium bicarbonate. The higher concentration of ammonium bicarbonate solution which was added sodium bicarbonate,the more observably the effect of CO2 desorption was promoted. The absorption rate had dropped when absorption process added 0.3 mol/L sodium bicarbonate, the CO2 loading was a little change.
Relationship between Banks’ Capital and Credit Risk-Taking through Syndicated Loan  [PDF]
Shu Ling Lin, Wei Peng Chen, Jun Lu
Modern Economy (ME) , 2015, DOI: 10.4236/me.2015.612123
Abstract: This paper aims to investigate whether banks exploit their information advantage over bank-dependent borrowers, analyzing the impact of capital level on banking credit risk-taking under syndication loans. By using a unique data composed of 4828 syndicated loan of publicity banks facilities from the U.S. for the period 1987-2010, we propose theoretical issues of the impact and effectiveness of banks’ credit risk-taking from the perspectives of borrowers’ bank dependent. The results show that there is positive correlation between the ratios of bank’s capital over its total assets and banks’ credit risk-taking. It implies that banks with lower capital level charge higher lending spread for borrowers with fewer cash flows; hence the banks would bear a lower probability of default.
Remote Sensing Image Fusion Using Bidimensional Empirical Mode Decomposition and the Least Squares Theory  [PDF]
Dengshan Huang, Peng Yang, Jun Li, Changhui Ma
Journal of Computer and Communications (JCC) , 2017, DOI: 10.4236/jcc.2017.512004
Abstract: Due to the data acquired by most optical earth observation satellite such as IKONOS, QuickBird-2 and GF-1 consist of a panchromatic image with high spatial resolution and multiple multispectral images with low spatial resolution. Many image fusion techniques have been developed to produce high resolution multispectral image. Considering panchromatic image and multispectral images contain the same spatial information with different accuracy, using the least square theory could estimate optimal spatial information. Compared with previous spatial details injection mode, this mode is more accurate and robust. In this paper, an image fusion method using Bidimensional Empirical Mode Decomposition (BEMD) and the least square theory is proposed to merge multispectral images and panchromatic image. After multi-spectral images were transformed from RGB space into IHS space, next I component and Panchromatic are decomposed by BEMD, then using the least squares theory to evaluate optimal spatial information and inject spatial information, finally completing fusion through inverse BEMD and inverse intensity-hue-saturation transform. Two data sets are used to evaluate the proposed fusion method, GF-1 images and QuickBird-2 images. The fusion images were evaluated visually and statistically. The evaluation results show the method proposed in this paper achieves the best performance compared with the conventional method.
MtsR, an Iron-Dependent Regulator in Streptococcus iniae  [PDF]
Jun Wang, Peng Wang, Yanyan Qin, Lili Zou
Agricultural Sciences (AS) , 2018, DOI: 10.4236/as.2018.95042
Abstract: Streptococcus iniae (S. iniae) is a major pathogen that is capable of resulting severe economic loss to cultured fish. Steadily iron availability from micro-environment is an important virulence factor for pathogens, and S. iniae encodes the iron-transporter MtsABC to accomplish heme utilization, but very little was known about the mechanisms involved in regulating and maintaining iron balance in S. iniae. In this study, the role of a putative iron-dependent transcriptional regulator MtsR was investigated, and the results showed that MtsR regulated the expression of iron-transport mtsABC to control iron homeostasis in S. iniae.
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