Supply chain performance for deteriorating items with cooperative advertising

To study the effect of cooperative advertising on the supply chain of deteriorating items, this paper establishes a Stackelberg game model for a two-echelon deteriorating items supply chain composed of one manufacturer and one retailer under a given support program with an exogenous participation rate. The manufacturer as the leader determines the wholesale price and production rate, and the retailer as the follower determines the retail price and advertising strategies. The strategies of the players under the decentralized scenario and the centralized scenario are respectively characterized. Numerical simulations and sensitivity analysis are conducted to gain some managerial insights. It is shown that the pricing, advertising and production strategies are negatively correlated to deteriorating coefficient, and both the profit and the channel efficiency decrease with deteriorating coefficient; The interaction between price, advertising investment and production rate results in a higher retail price of the centralized channel compared to that of the decentralized channel; Implementing the cooperative advertising program does improve the performance of the supply chain in some cases and the participation rate roughly at 0.5 is most preferable, but it is also possible to distort incentive and damage the channel performance when the participation rate reaches a relatively high level.     

An Analysis of an SIRS Epidemic Model with General Direct Immunization in Networks北大核心CSCD

We consider an SIRS epidemic model with a general direct immunization rate on networks. By constructing suitable Lyapunov functions, we find that the dynamical behvaior of the model is completely determined by the epidemic threshold λc. When λ≤λc, the disease-free equilibrium is globally asymptotically stable; when λ>λc, the endemic equilibrium is globally asymptotically stable. In addition, we propose a uniform direct immunization and a targeted direct immunization. The results show that under the same average immunization rate s there exists a critical immunization-lost rate δc so that the epidemic threshold of the targeted direct immunization is smaller (larger) than that of the uniform direct immunization if δ<δc(δ>δc). © 2017, The Journal of Agency of Complex Systems and Complexity Science. All right reserved.     

防卫行动指挥训练模拟系统研究

反恐斗争是一种特殊的军事斗争形式,是当前军事训练领域的一个重要内容。为满足国内城市“反恐、防恐”的需要,满足驻城部队军官指挥行动训练的需求,我们研制了防卫行动指挥训练模拟系统。首先介绍了该训练模拟系统要达到的总体战技指标、实现的主要功能,然后给出具体实现的硬件构成和各相应的模块子系统、各个分系统的相互关系,以及电台模拟与实时语音通信技术,最后介绍了系统研制过程当中所采用的关键技术。该系统在某装甲步兵分队应用后,反映效果较好、收效明显,对驻城区部队的“反恐”训练具有很强的推动作用。     

粒子群算法在投资组合中的应用

投资组合面临现实证券市场中大量数据，求解组合模型是一个非线性整数规划问题，传统数学规划算法难以有效求解。为此，本文将粒子群算法应用到基于VaR的投资组合模型中，并通过上海证券交易所的实际数据进行计算机模拟，结果说明该算法所求最优投资组合是实用的和有效的。     

Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion

A frequency-domain-based sufficient condition is derived to guarantee the globally asymptotic stability of the simplest Takagi-Sugeno (T-S) fuzzy control system by using the circle criterion. The analysis is performed in the frequency domain, and hence the condition is of great significance when the frequency-response method, which is widely used in the linear control theory and practice, is employed to synthesize the simplest T-S fuzzy controller. Besides, this sufficient condition is featured by a graphical interpretation, which makes the condition straightforward to be used. Comparisons are drawn between the performance of the simplest T-S fuzzy controller and that of the linear compensator. Two numerical examples are presented to demonstrate how this sufficient condition can be applied to both stable and unstable plants.     

Distributed power control algorithm based on game theory for wireless sensor networks

Energy saving is the most important issue in research and development for wireless sensor networks. A power control mechanism can reduce the power consumption of the whole network.Because the character of wireless sensor networks is restrictive energy,this paper proposes a distributed power control algorithm based on game theory for wireless sensor networks which objects of which are reducing power consumption and decreasing overhead and increasing network lifetime.The game theory and OPNET simulation shows that the power control algorithm converges to a Nash Equilibrium when decisions are updated according to a better response dynamic.     

NECESSARY AND SUFFICIENT CONDITION FOR GLOBAL CONTROLLABILITY OF A CLASS OF AFFINE NONLINEAR SYSTEMS

In this paper, we investigate the global controllability of a class of n-dimensional affine nonlinear systems with n- 1 controls and constant control matrix. A necessary and sufficient condition for its global controllability has been obtained by using the methods recently developed. Furthermore, we generalize the above result to a class of affine nonlinear systems with a block-triangular-like structure. Finally, we will give three examples to show the applications of our results.     

Opportunistic spectrum sharing in software defined wireless network

Over the past few decades, the world has witnessed a rapid growth in mobile and wireless networks（MWNs） which significantly change human life. However, proliferating mobile demands lead to several intractable challenges that MWN has to face. Software-defined network is expected as a promising way for future network and has captured growing attention. Network virtualization is an essential feature in software-defined wireless network（SDWN）, and it brings two new entities, physical networks and virtual networks. Accordingly, efficiently assigning spectrum resource to virtual networks is one of the fundamental problems in SDWN. Directly orienting towards the spectrum resource allocation problem, firstly, the fluctuation features of virtual network requirements in SDWN are researched, and the opportunistic spectrum sharing method is introduced to SDWN. Then, the problem is proved as NP-hardness. After that, a dynamic programming and graph theory based spectrum sharing algorithm is proposed.Simulations demonstrate that the opportunistic spectrum sharing method conspicuously improves the system performance up to around 20%–30% in SDWN, and the proposed algorithm achieves more efficient performance.     

基于ＮＰ准则的属性关联度量及门限确定方法

在目标空域密集环境下,属性辅助运动状态数据关联是目前公认的解决数据关联性能严重下降问题的潜在有效途径。从Neyman Pearson准则出发,在分析经典运动状态信息关联度量及门限确定方法合理性的基础上,给出属性辅助数据关联中属性度量及对应门限的确定方法。仿真结果表明,与惯用的固定门限相比,该方法确定的度量及门限具有稳定的关联性能。     

一种改进的PSO-MBCV算法的车底阴影分割

针对当前车底阴影分割算法在复杂环境下鲁棒性较差以及最大类间方差（maximum between class variance,　MBCV）多阈值分割算法不能自动确定阈值个数的问题,提出利用峰值自适应方法自动确定MBCV多阈值分割算法中阈值个数;然后,以阈值的个数为粒子群优化算法（particle swarm optimization,　PSO）中粒子的维数,提出了一种改进的PSO MBCV算法的车底阴影分割。实验结果表明,该算法能有较低的误分类误差,能有效地分割出车底阴影。