统一交换技术的研究和实现

文章介绍了统一交换原理和实现统一交换的关键技术,包括信元交换技术和 SAR(切割与重组)技术,给出了统一交换设备实现功能框图,讲述了设计中需要关注的交换效率、时延、交换板冗余保护和交换容量计算等方面的问题。该文的成果已经在光传输设备上得到应用,并取得了良好的效果。该技术具有明显的优势,是构成下一代通信网络的关键技术之一。     

考虑罚金政策的众包物流服务质量网络均衡模型

为优化众包物流服务质量,考虑平台罚金政策,构建了包括发包方、众包平台和接包方在内的三层众包物流服务网络模型,并进行算例分析。结果表明,众包平台实施罚金政策并加大自身服务质量投入成本会促使接包方改善自身的服务质量,众包平台的服务质量和利润随之增大,但一味的增大罚金不但会使得接包方利润下降,众包平台的服务质量和利润也呈稍微下降趋势,因此平台应该选择合适的罚金区间;平台在竞争的同时也要进行一定的合作,因为平台间同步协调改进罚金政策以及质量投入会取得更大的收益和更高的平均服务质量。     

考虑油膜动态过程的海上溢油应急物资调度优化

针对溢油应急响应中海上油膜所具有的动态特性,综合考虑需求点的时变物资需求、运输网络的不确定性以及物资调度决策与外部决策环境之间的相互作用关系之后,构建了效率目标与成本目标相结合的多目标海上溢油应急物资调度优化模型。根据模型的特点,提出了一种基于鲸鱼算法的求解方法。该算法利用非线性收敛因子克服了算法后期易陷入局部最优的不足,同时还引入小生境共享机制以确保解的多样性。最后,通过仿真案例对模型与算法的有效性与可行性进行了验证。结果表明,该方法可以为决策者提供高质量的决策支持。     

基于中智犹豫模糊语言优先QUALIFLEX方法的绿色供应商选择

针对绿色供应商选择过程中,评价指标数量明显超过可供选择的供应商数量且指标之间存在优序关系等特点,提出了基于中智犹豫模糊语言优先QUAL-IFLEX方法的绿色供应商选择方法.首先,利用中智犹豫模糊语言表征评价信息和评价权重;其次,构造优先矩阵对指标权重做精确化处理,考虑到决策者对指标的要求和指标之间的优序关系,对指标权重...     

一种无线座机锁小区的技术方案及系统

全业务运营环境下,为提升运营商竞争力,某移动公司推出无线座机业务,其业务资费比普通的号码套餐较为优惠.本文提出了一种无线座机锁小区的技术方案及系统,该方案及系统能主动适应复杂多变的无线环境和不断调整优化的无线系统,从而有效限制住无线座机终端的优惠范围.     

一种应急管理信息系统在海油企业中的应用

本文主要介绍一套适合海油企业实际业务应用的应急管理信息系统,系统通过模块化、组件化模式实现灵活应用配置,并可根据用户实际应用需求进行模块组合、拆解,为不同领域的企业和厂区搭建适用的定制化应用系统,满足企业日常安全应急管理需求,为应急指挥工作提供辅助决策支持。     

E-business technologies for xRM: Exploring the readiness of public broadcasters

This paper examines the possibilities of enhancing relationship management between public service broadcasters and their stakeholders by harnessing the potential of newest e-business technologies and concepts, such as: social media, digital and interactive TV, and mobile computing. In order to facilitate adoption of relationship management strategy, a framework for leveraging relationship management is proposed. Evaluation was performed within the e-business system of a public broadcaster. This empirical study explored the readiness and expected benefits of relationship management implementation. The research results have indicated that a public broadcaster could achieve a higher level of social responsibility, improve business sustainability, and empower communication and collaboration with all the stakeholders by using emerging technologies for relationship management activities.     

Estimation of quality of service parameters for OFDM–TDMA networks using Markov chains and service curve

This paper presents a model based on Queueing Theory for Orthogonal Frequency‐Division Multiplexing–Time‐Division Multiple Access (OFDM–TDMA) networks. This network model requires a Markovian model to the traffic processes. Thus, we present a Markov Modulated Fluid Model (MMFM) with autocorrelation function fitting for the network traffic, in order to evaluate the performance of the transmission link in OFDM–TDMA systems. That is, we deduce equations for estimating QoS parameters of OFDM–TDMA systems. The obtained results confirm that the proposed network model is efficient in describing the OFDM based link performance. A novel equation is also introduced for estimating the buffer overflow probability in OFDM–TDMA systems using a proposed network service curve. The computational effort is reduced compared to the Queueing Theory based method of overflow probability estimation. Besides, the results show that the estimates are very close to those obtained by simulations.     

Ka高通量宽带卫星网络服务应用模式探讨

2017年4月12号第一颗国产高通量宽带卫星-中星16发射成功，Ka高通量宽带卫星网络在国内已经正式运行,本文就国内高通量卫星宽带业务做相应探讨。     

Discrete particle swarm optimization based multi-objective service path constructing algorithm

Aiming at previous research primarily focused on constructing service paths with a single objective,for exam-ple,latency minimization,cost minimization or load balance,which ignored the overall performance of constructed ser-vice paths,a multi-objective service path constructing algorithm based on discrete particle swarm optimization (MOPSO) was proposed.To promote the convergence rate and improve constructing performance,the criterions for selecting can-didate physical nodes and paths were explored,and a particle position initialization and update strategy (PIFC) was de-signed.Simulation experiments show that the proposed algorithms can improve the overall quality of service paths and increase the success rate and long-term average revenue.