ID	原文	译文
2333	通过模拟连接算法峰值功率发生阶段算法行为来估算该阶段最大 CPU 密集度，通过 CPU 密集度与 CPU 功率的内在联系建立异步I/O 连接算法的峰值功率预测模型。	By simulating the behavior of this stage, we es-timate the maximal CPU-boundedness of join algorithms. By examining the relationship between the CPU-boundedness and CPU power, the peak power models of join algorithms under different CPU execution frequency are hence construc-ted.
2334	实验对数据库系统中采用异步 I/O 机制的四个连接算法时模型准确性进行了验证，结果表明所提预测方法具有较好的预测准确性，平均相对误差低于 7% 。	Experiments validate the effectiveness of the proposed models on three typical join algorithms in DBM S with asyncI /O techniques. Results showed that our proposed methods had good accuracy with the average relative error lessthan 7% .
2335	本文提出了一种有监督主题模型的 SLDA-TC(Supervised LDA-Text Categorization)文本分类方法，引入主题-类别概率分布参数，识别主题-类别的语义信息;	In this paper, SLDA-TC, a novel text categorization model based on supervised topic model is proposed. The new parameter represents the probability distribution of topic-category is introduced.
2336	提出 SLDA-TC-Gibbs 主题采样新方法，对每个词的隐含主题采样，只从该词所在文档的同类其它文档中采样，并给出了理论推导;	The SLDA-TC-Gibbs sampling al-gorithm is presented. At each iteration, a word's latent topic sampling only utilizes the other training documents having the same category with the document the word occurred, meanwhile, the theoretical proof is given.
2337	另外，其主题数只需略大于类别数。	In the SLDA-TC model, the number of topics is only slightly larger than the number of categories.
2338	实验表明，对比LDA-TC(LDA-Text Categorization)和 SVM 算法，本方法能提高分类精度和时间性能。	The experimental results demonstrate that the SLDA-TC model promotes the accuracy and speed for text classification compared with the LDA-TC and SVM algorithms.
2339	为实现突发事件的应急决策和态势评估，满足对重点区域的地面全景或空间立体信息可靠节能地远距离传输要求，本文将无人机(Unmanned Aerial Vehicle，UAV)作为空基感测平台，研究应急移动物联网应用中无人机编队能量受限条件下的远距离通信问题，提出面向非完整约束多地面移动中继的协同任务规划方法。	In order to realize emergency decision-making and situation assessment, and to satisfy the requirement ofreliable and energy-saving long-distance transmission of panoramic or spatial stereoscopic information in key areas, this pa-per takes UAV as space-based sensing platform to study the long-distance communication of UAV formation under energy-constrained conditions in emergency mobile Internet of Things applications. A cooperative task planning method for nonholo-nomic constrained ground mobile relays is analyzed.
2340	首先，对该类物联网进行系统建模;	For this emergent mobile Internet of Things, first, its model is derived.
2341	其次，根据所建模型中无人机空基平台立体地分布于重点空域的特点，研究了地面移动中继区域分配算法、位置更新算法。	Second, according to UAV air base platform scattering in the key airspace, area-division algorithm and location update algo-rithm for ground mobile relays are studied.
2342	在提供可靠节能通信的同时，确定其覆盖范围和最优布署方案。	The algorithms ensure a reliable and energy-efficient communication by deciding the ground mobile relay coverage area and optimal deployment scheme.