Anhui University of Finance and Economics

About: Anhui University of Finance and Economics is a education organization based out in Bengbu, China. It is known for research contribution in the topics: China & Hopf bifurcation. The organization has 933 authors who have published 1070 publications receiving 11500 citations. The organization is also known as: AUFE.

Quasi-concave optimization of secrecy redundancy rate in HARQ-CC system

Abstract: In a hybrid automatic repeat request with chase combining (HARQ-CC) system,we analyze physical layer secure performance and determine the secrecy redundancy rateby proposed quasi-concave optimization methods with effective secrecy throughput (EST) criteria.First, key performance metrics, including connection outage probability (COP),secrecy outage probability (SOP), EST, and delay, are discussed.Then, under the constraint of COP, we optimize the secrecy redundancy rate to maximize the EST,which is a quasi-concave function, by both the bisection and fixed-point methods.Furthermore, under the simultaneous constraints of COP and SOP,the bisection and Lagrangian multiplier methods are applied to optimize the secrecy redundancy rate.From the comparison of the numerical and simulated results,it is concluded that EST demonstrates practical secure performance of HARQ-CC,and the proposed optimization methods adjust the secrecy redundancy rate for improved security.

Several Properties of a Nonstandard Renewal Counting Process and Their Applications

Abstract: This paper proposes a nonstandard renewal counting process based on web Markov skeleton process, called web renewal process, which allows applications in the field of natural science and social science. Parallel with the standard renewal counting process, some properties of the web renewal process and the corresponding web renewal reward processes, are investigated. Several limit properties, including the tail of the exponential moments of the web renewal process, and the results of precise large deviations and moderate deviations for the web renewal reward processes are derived.

The Optimal Pricing and Multi-Item Capacitated Lot Sizing Problem

Abstract: The multi-item capacitated lot sizing problems (MCLSP) extensively studied paid little attention to the product prices and neglected the effects of market on production. However, pricing and production are coordinated here, and the dynamic product prices are introduced into our model as the decision variables. The product demand is a function of the product price. An item-by-item heuristic algorithm is developed, which transforms the J-item problem into J single-item problems. The algorithm also includes a Lagrangean upper bound problem and a Lagrangean lower bound problem. A special case with linear demand function of price concludes that although MCLSP is an NP-hard problem, our model seems to be easier to solve from a numerical point of view than MCLSP. The algorithm may improve the firm's profit in comparison with the decentralized policy and the coordination policy with constant price over time.

Selecting Classification Methods for Small Samples of Next-Generation Sequencing Data.

Abstract: Next-generation sequencing has emerged as an essential technology for the quantitative analysis of gene expression. In medical research, RNA sequencing (RNA-seq) data are commonly used to identify which type of disease a patient has. Because of the discrete nature of RNA-seq data, the existing statistical methods that have been developed for microarray data cannot be directly applied to RNA-seq data. Existing statistical methods usually model RNA-seq data by a discrete distribution, such as the Poisson, the negative binomial, or the mixture distribution with a point mass at zero and a Poisson distribution to further allow for data with an excess of zeros. Consequently, analytic tools corresponding to the above three discrete distributions have been developed: Poisson linear discriminant analysis (PLDA), negative binomial linear discriminant analysis (NBLDA), and zero-inflated Poisson logistic discriminant analysis (ZIPLDA). However, it is unclear what the real distributions would be for these classifications when applied to a new and real dataset. Considering that count datasets are frequently characterized by excess zeros and overdispersion, this paper extends the existing distribution to a mixture distribution with a point mass at zero and a negative binomial distribution and proposes a zero-inflated negative binomial logistic discriminant analysis (ZINBLDA) for classification. More importantly, we compare the above four classification methods from the perspective of model parameters, as an understanding of parameters is necessary for selecting the optimal method for RNA-seq data. Furthermore, we determine that the above four methods could transform into each other in some cases. Using simulation studies, we compare and evaluate the performance of these classification methods in a wide range of settings, and we also present a decision tree model created to help us select the optimal classifier for a new RNA-seq dataset. The results of the two real datasets coincide with the theory and simulation analysis results. The methods used in this work are implemented in the open-scource R scripts, with a source code freely available at https://github.com/FocusPaka/ZINBLDA.

Research on Green Effect of Eco-industrial Parks and its Formation Mechanism of Strategic Alliances' Stability

Abstract: Green effect is a phenomenon by which manufacturers apply themselves to environmental protection to obtain comparative advantages compared to their counterparts. Modern enterprises can form profitable green effect by greening of infrastructures, brands, marketing and culture, which contribute its development trend. Manufacturers of eco-industrial parks should be in line with the government to strengthen propaganda about environmental protection, to advocate green and civilized consumption and to enhance the proportion of environmentalists in consumers; to increase their own propaganda; national authorities should also set up and implement green label system to allow manufacturers of eco-industrial parks use these labels in their own products to facilitate the effective recognition of consumers. It is an effective way to access to their green effect and to achieve stability after the formation of green union by making green alliance parties gain the largest rents from the alliances which they are all likely to participate in.