ID	原文	译文
4964	再次，运行服务请求预取算法，使资源提供者能以当前的成交价格获取更多的任务请求，保证资源提供者的收益；	Then,service perfecting algorithm was performed such that the sellers could get more services at the current transaction value,thus ensuring the benefits of resource providers.
4965	最后，利用请求价格和竞拍价格更新算法，保证买卖双方在下一轮拍卖过程中获得较高的优先级，以获取更多的收益。	At last, a request price updating algorithm was adopted to assurance thatboth sellers and buyers could get priorities in the next auction processing.
4966	实验结果表明，与基于拍卖的云资源分配算法（CRAA/FA）相比，所提 OMRA 策略能提升 10%的资源分配效率和 11.4%的市场收益率。	Compared with the cloud resource allocatingalgorithm via fitness-enabled auction (CRAA/FA), the experiment results indicate that the efficiency of resource alloca-tion improves by 10% and the benefits of market increase by 11.4%.
4967	提出了一种实现 MQAM 信号调制方式自动识别的方法。	An automatic modulation recognition algorithm for MQAM signal was proposed.
4968	首先通过四阶累积量构造特征参数 F，实现方形 QAM 和十字形 QAM 的识别，通过计算零中心归一化瞬时幅度紧致性，把 16QAM 从方形 QAM 中识别出来。	Firstly, the feature parameterF based on the fourth order cumulants was constructed to classify the square QAM and the cross QAM. Secondly, the compactness of zero center normalized instantaneous amplitude was calculated to identify the 16QAM from the squareQAM.
4969	然后，通过信号包络平方的频谱估算出波特率，结合定时同步，消除 ISI 码间干扰，恢复出较理想的星座图。	Thirdly, the baud rate was estimated by frequency spectrum of amplitude square, and timing was synchronized todelete the ISI and resume the relatively ideal constellations.
4970	接着，针对 32QAM 和 128QAM 设置不同的聚类半径，用减法聚类算法求出聚类点及其密度值，通过计算不同半径下的聚类点密度值的差异进行类型判断，同理，进行 64QAM 和 256QAM 信号的分类。	And aiming at the 32QAM and the 128QAM, two differentclustering radii were set, and clustering point density was got respectively by the subtractive clustering algorithm, andthen the 32QAM and the 128QAM was classified depending on the difference of density value. In the same way, the64QAM and the 256QAM were classified.
4971	所提方法不需要载频和波特率等先验信息，能完成 16QAM、32QAM、64QAM、128QAM、256QAM 信号的自动识别，并且没有复杂的迭代过程，可以应用于实际信号的调制识别。	The proposed algorithm can recognize five kinds of QAM signals, including16QAM signals, 32QAM signals, 64QAM signals, 128QAM signal and 256QAM signal without prior knowledge of fre-quency and baud rate. Furthermore, the proposed algorithm does not need complex iterative process, which can be ap-plied in practical signal recognition.
4972	针对卫星网络中拓扑时变、连接瞬断及资源受限的问题，提出了一种基于双向粒子群优化（BPSO）的连接计划设计（CPD）方案。	Aiming at the problems of time-varying topology, intermittent connection, and constrained resource in satellitenetwork, a contact plan design (CPD) scheme based on bi-directional particle optimization (BPSO) algorithm was pro-posed.
4973	首先，通过对资源受限的时变卫星网络分析，建立了基于任务的时间拓展图（TEG）模型；	Firstly, the task-based time-expanded graph (TEG) model was constructed through the analysis of re-source-constrained time-varying satellite network.