A suboptimal joint bandwidth and power allocation for cooperative relay networks＂ a cooperative game theoretic approach

In commercial networks, user nodes operating on batteries are assumed to be selfish to consume their resources (i.e., bandwidth and power) solely maximizing their own benefits (e.g., the received signal-to-noise ratios (SNRs) and datarates). In this paper, a cooperative game theoretical framework is proposed to jointly perform the bandwidth and power allocation for selfish cooperative relay networks. To ensure a fair and efficient resource sharing between two selfish user nodes, we assume that either node can act as a source as well as a potential relay for each other and either node is willing to seek cooperative relaying only if the datarate achieved through cooperation is not lower than that achieved through noncooperation (i.e., direct transmission) by consuming the same amount of bandwidth and power resource. Define the cooperative strategy of a node as the number of bandwidth and power that it is willing to contribute for relaying purpose. The two node joint bandwidth and power allocation (JBPA) problem can then be formulated as a cooperative game. Since the Nash bargaining solution (NBS) to the JBPA game (JBPAG) is computationally difficult to obtain, we divide it into two subgames, i.e., the bandwidth allocation game (BAG) and the power allocation game (PAG). We prove that both the subgames have unique NBS. And then the suboptimal NBS to the JBPAG can be achieved by solving the BAG and PAG sequentially. Simulation results show that the proposed cooperative game scheme is efficient in that the performance loss of the NBS result to that of the maximal overall data-rate scheme is small while the maximal-rate scheme is unfair. The simulation results also show that the NBS result is fair in that both nodes could experience better performance than they work independently and the degree of cooperation of a node only depends on how much contribution its partner can make to improve its own performance.     

电力系统自动化技术

介绍自动化技术在发电系统、电网调度系统、配电网络和变电系统中的应用现状,分析电力系统自动化技术的发展趋势,结合具体实例说明电力系统自动化技术的应用.     

1780mm热轧层流冷却自动控制系统的控制模型

以某1780mm热连轧机层流冷却系统为对象,建立层流冷却控制模型,并在实际使用中对影响其控制精度的一些因素进行分析.     

开关跳闸的原因及对策

分析日常生产及供电系统中,空气开关(断路器)跳闸的可能原因,并结合现场实际情况给出相应的处理方法与对策.     

矿用IP广播对讲系统回声消除技术研究

分析了矿用IP广播对讲系统的回声产生路径,指出其回声具有来源复杂、路径延迟时间长、路径延迟抖动大的特点;提出在广播主机采用软件算法消除回声,在广播终端采用结构设计和硬件电路设计相结合的方法消除回声的方案。实际应用表明,该回声消除方案有效地提高了矿用IP广播对讲系统的通信质量,系统全双工扩音对讲通话效果良好。     

关于非法入侵网站的取证分析

文章针对黑客攻击网站以及网页挂马介绍了网站入侵取证的模式和方法（包括IIS日志分析）。通过对实际案例的分析、比较,详细描述了如何开展日常的入侵取证工作。文章对同行业的入侵取证工作具有较好的借鉴和参考作用。     

基于多几何特征的显微视觉对准控制策略

针对特定夹持器和环形物,基于搭建的微装配实验平台,提出了一种显微视觉引导下,夹持器相对于环形物的趋近运动控制策略.在垂直显微视觉引导下,基于夹持器和环形物的几何先验知识,实现了夹持器和环形物的多几何特征提取,从而实现了二者相对位置检测,并且根据夹持器头的几何先验知识及显微视觉检测结果,实现了对夹持器头的持续跟踪.在视觉信息反馈下,采用变结构控制器控制夹持器的运动,实现了对夹持器的快速稳定运动控制.实验结果验证了该运动控制策略的有效性.     

中厚板板坯轧制温度建模研究

以国内某中厚板轧制现场为背景,研究了中厚板板坯轧制温度建模问题.通过考虑轧制过程中影响板坯的各种温度要素,结合真实数据和经验公式,给出了不同情况下的温度边界条件,进而选用二维有限差分方程来建立板坯温度场模型,此改进后的温度模型克服了传统温度计算模型精度低、适应性差等缺点.新模型引入了网格重建等功能,能够很好地完成不同规格钢种的温度预测.基于真实现场数据,给出并分析模型计算生成的温度变化结果曲线图,能够有效地预测中厚板坯在轧制过程中的温度变化趋势.最终实验结果表明,此模型预测的终轧表面平均温度与真实值之间具有很小的误差,说明此模型计算精度高,并能够很好地应用于中厚板生产实践之中.     

六轴工业机器人的参数辨识方法

机器人末端位姿的精度依赖于各关节几何参数的精度。为了提高机器人的位姿精度,提出了一种简单实用的机器人参数辨识方法。利用D-H 算法建立的机器人运动学方程,得到了末端位姿与各关节参数的关系。为了解决辨识过程中的复杂计算问题,设计了一种采用拆分参数的迭代方法和相应的实验方法,运用激光跟踪仪对位姿进行精确测量,求得实际几何结构参数。实验结果验证了所提出方法的有效性。     

双护盾掘进机洞轴线纠偏实例

在利用双护盾隧洞掘进机进行同忻煤矿主斜井开挖的过程中发生了卡机事故,开挖斜井的轴线偏离了正确的方向。文中分析了事故发生的原因,介绍了采取的掘进机整机后退的措施,使得成功地摆脱了困境。