ID	原文	译文
2423	同时，引入一种基于批量样本增量学习的 KELM 子分类器在线更新策略，实现入侵检测模型的在线更新，使 SEoKELM-NID 能有效适应复杂网络环境的变化。在 KDD99 数据集和一个以太网和无线网络混合的复杂网络仿真实验平台上进行了仿真实验验证，结果表明，SEoKELM-NID 相比基于单个学习器以及传统集成学习的网络入侵检测方法具有更好的识别准确性以及更快的识别速度，特别对于未知的网络入侵连接事件响应速度快、漏报率低。	Extensive validation and comparative experiments on the the KDD99 data set andon a hybrid network simulation platform mixed with wireless networks and Ethernet networks demonstrate that the proposed method achieves better recognition accuracies with faster recognition speed than the network intrusion detection methods based on the single learner and the traditional ensemble learning, which can effectively detect the known and unknown net-work intrusion connection in real time.
2424	随着大数据时代的到来，人们对超高精度科学计算的需求日益迫切，其中一个难点是大数阶乘问题。	With the advent of the era of big data, there is an increasingly urgent need for ultra-high precision scientificcalculation. One of the difficulties is the large number factorial problem.
2425	斯特林公式作为计算大数阶乘的传统近似方法，远不能在精度上满足要求，其它的阶乘算法可以实现较高的精度，但以牺牲大量存储空间为代价。	Stirling formula as the traditional approximate meth-od of calculating factorial of large numbers cannot meet the accuracy requirements. Other factorial algorithm can achieve high accuracy, but at the cost of a large amount of storage space.
2426	本文提出一种具有零误差的大数阶乘算法，可以根据问题规模优化存储空间，利用并行计算的思想和 FPGA 的优势来提高计算速度，	This paper puts forward a factorial algorithm of large num-bers with zero error that can optimize storage space according to the problem size. Besides, the computing speed can be im-proved by making full use of parallel computing and the advantages of field programmable gate array (FPGA).
2427	测试结果表明，所提出的算法具有较好的时空效率，可以应用在如大数阶乘计算器等诸多领域。	The test re-sults show that the proposed algorithm has better efficiency of time and space, which can be used in many fields such aslarge factorial calculator.
2428	个人意愿对于形成网络社团和传播信息有着重要的影响力，因此本文提出一种基于个人意愿的社团结构与信息检测方案。	Personal willingness is one of the most important factors influencing the construction of social communityand the information dissemination in social network. In this paper, we propose a social community structure and information detection scheme based on personal willingness in social network.
2429	该方案中的社团检测算法初次检测以融入节点属性的模块度，再次检测以兴趣度并能发现重叠社团，最后精细检测以个人意愿，本文社团检测算法(ε_CSDA)较之前的算法更有效的是可以发现重叠社团;	In our proposed scheme, the social community detectio nalgorithm uses the node attributes to detect social community structure and further find overlapping communities;
2430	同时，该方案建立的信息传播模型在指数模型基础上构建边特征向量(边属性)、节点特征向量(节点属性)和意愿向量(用户意愿、社团意愿和节点意愿)，并以传播概率和传播延迟构建模型基本关系，从而使得该模型实现了基于个人意愿的信息传播。	the infor-mation dissemination method is based on the exponential model, which constructs the feature vector by the edge feature andthe node feature, the willingness vector by the personal willingness and the community willingness, and the basic relationshipby the dissemination probability and dissemination delay.
2431	实验结果表明，加入个人意愿的社团检测和信息传播方案，能够保证社团检测的有效性和实用性，能够实现用户间信息传播的主动性和可靠性。	Experimental results show that our proposed scheme can ensure the effectiveness of social community detection and the initiative and reliability of information dissemination.
2432	钢包是连接炼钢与浇注环节的容器，即将承接炼钢炉的注入钢水的钢包容器内壁温度直接决定了炼钢炉的出钢温度，与企业节能降耗密切相关。	Ladle is a container which used to connect the steel-making and pouring sections. The tapping temperature of the steel-making furnace is directly determined by the temperature of the inner wall of the ladle, which is closely related to the energy saving and consumption Reduction of the enterprise.