济南市物流产业现状分析及对策研究

本文介绍了近年来济南市物流产业发展的现状，分析了济南市物流产业已经取得的成绩和存在的问题。并提出了相应的解决措施。     

Turbo码解码过程中的加权算法

本文通过调整迭代解码过程中系统位接收值的加权系数，提出了一种Turbo码加权迭代解码算法。该算法改变了迭代运算后Turbo码解码器输出软值中系统位接收值信息和它的外部估计信息的比重，使Turbo码无论在低信噪比或是在高信噪比时均具有优良的纠错性能。仿真结果显示，采用Turbo码加权迭代解码算法，不仅能提高Turbo码的收敛速度，而且能进一步降低Turbo码解码时的地板值，使Turbo码的比特误码率在高、低信噪比时都能够得到进一步改善。     

The trade-off between fixed vehicle costs and time-dependent arrival penalties in a routing problem

This paper introduces the vehicle routing problem with soft time windows (VRPSTW) in which problem definition differs from ones previously defined in literature. Branch-and-price approach is employed, resulting in a set partitioning master problem and its new subproblem. Novel techniques are consequently developed to solve this new subproblem. Experimental results report the comparisons of these solution techniques under the branch-and-price framework. The VRPSTW solutions have further been compared to the state-of-the-art literature, signifying the superiority of the VRPSTW on this issue.     

单车场无时间窗甩挂运输车辆调度的启发式算法

考虑了牵引车空驶、带空挂车行驶和带重挂车行驶所引起的成本差异，定义了牵引车运行成本的概念，将总运行成本最小作为调度方案优劣的判别指标，并同时考虑牵引车数量最少。将牵引任务分为四种类型，定义了任务链、虚拟任务、链内交叉和链间交叉的概念，提出了一种求解该类单车场甩挂运输车辆调度无时间窗约束的启发式算法，包括初始调运方案、链内优化、空车调运交叉、牵引车数量优化和链间交叉。最后给出了仿真算例，算法优化后的最终方案与初始方案相比，牵引车数量减少，总运行成本降低，验证了算法的有效性和可行性。     

Optimal rebalance rules for the constant proportion portfolio insurance strategy – Evidence from China

The constant proportion portfolio insurance (CPPI) strategy is one of the most popular asset allocation strategies employed by guaranteed-return financial products investors. Rebalance disciplines play an important role in determining the CPPI performance in practice. This paper examines whether the selection of rebalance rules affects CPPI strategy performance in the context of Chinese equity markets and, if so, in what pattern, and whether an optimal parameter of rebalance exists. We find that, (1) the three alternative rebalance disciplines – time discipline, market move discipline and lag discipline – are indifferent in affecting the performance of CPPI strategy; (2) in terms of optimal parameters of each rebalance rule, the optimal rebalancing period for the time discipline is 3 trading days, the optimal trading threshold of the market move discipline 4%, and the optimal lag factor of the lag discipline 6%. These optimal parameters are not influenced by the length of investment.     

Does economic policy uncertainty affect cryptocurrency markets? Evidence from Twitter-based uncertainty measures

Using daily data from August 9, 2015, to July 7, 2020, this study examines the effects of economic policy uncertainty (EPU) on the returns of four cryptocurrencies: Bitcoin, Ethereum, Litecoin, and Ripple. To this end, two new measures of EPU (Twitter-based economic uncertainty and Twitter-based market uncertainty) are considered. A Granger causality test using the recursive evolving window approach shows a significant causality between the Twitter-based EPU measures and the BTC/USD exchange rate from October 2016 to July 2017. Moreover, a significant causality was noted from the EPU measures to the ETH/USD exchange rate from June 2019 to February 2020 and from the EPU measures to the XRP/USD exchange rate from January 2020 to February 2020. The Twitter-based EPU measures primarily positively affect the returns of the related cryptocurrencies during these periods. These results are robust to different measures of Twitter-based EPU and different econometric techniques. Potential implications, including the COVID-19 era, are also discussed.     

利用随机共振解调微弱MFSK信号

采用随机共振解调微弱MFSK信号解决了传统解调方法误码率高的问题。 根据大噪声环境下信号能借助噪声能量发生随机共振这一理论,先将微弱MFSK信号通过双稳 态随机共振系统以提高其信噪比,对随机共振系统的输出信号用FFT来区分每段信号的载波 频率,最后依据判决准则解调MFSK信号。当信噪比较高时,可向信号中人为添加白噪 声来使之适用于该解调方法。MATLAB仿真结果表明,该方法能成功解调信噪比最低为 -23 dB的2FSK信号和-25 dB的8FSK信号,而这是传统相干解调方法所无法达到的。     

基于FPGA的S模式信号处理

S模式信号处理终端是询问/应答设备的数据处理核心。结合实际工程应用,提出了一 种基于FPGA的S模式信号处理实现方案。针对S模式询问/应答信号的调制方式和信号格式, 给出了一种中频信号处理实现方法和信号的同步检测以及信息提取方式,通过对数据信息编 码/译码的原理分析,介绍了信号处理流程设计和实现方法。该方案已经过大量的仿真测 试并通过了工程应用验证。     

Turbo码的Taylor-Log_MAP译码算法

以Turbo码基本理论和算法为基础,依据无线信息传输的实际要求和Taylor级数的基 本原理,提出了一种Turbo码的Taylor-Log-MAP高效译码算法。该算法对基本的Log-MAP 算法中K运算利用Taylor级数进行展开,针对实际的信道需求对展开式进行截断,实现了Tur bo码 的最佳译码。与传统的对数域最大后验概率译码算法相比,该算法基本保持了优良的译码 性能,同时避免了复杂的对数运算,减小了运算量。仿真结果表明,与现 有的RS码性能相比,使用Turbo码可以获取5 dB的信噪比增益。