ID 原文 译文
25065 实验结果表明，与传统算法相比，本文提出的模型在时空特征提取、缓解类别不平衡和推荐准确性上均有较好的表现。 Experimental results show that compared with traditional algorithms, the model proposed in this paper has better performance in spatio-temporal feature extraction, alleviating class imbalance and recommendation accuracy．
25066 本文针对时空数据流提出了一种基于时间窗口数据排序和批量装载的移动对象空间索引构建方法HSTＲCL。 In light of the characteristics of spatio-temporal data stream, we propose a moving object spatial index construction method called HSTＲCL, which is based on time window data sorting and bulk loading．
25067 该方法用固定长度的时间窗口将连续的时空数据流进行切分，每当一个时间窗口完成数据缓存，采用优化的索引批量装载技术，从传统的构建流程中尽可能分离出耗时的数据划分和排序操作，将数据流的接收及其他构建操作并行执行，避免不必要的加锁同步开销，加快索引的构建效率; It segments the continuous spatio-temporal data stream with fixed-length time windows; after finishing caching the data of a time window, by combining parallel processing and optimized bulk loading technology, we isolate as much as possible the time-consuming work of data partitioning and sorting operations from the traditional build process, and parallize them with the reception of data streams and other build operations. Furthermore, we avoid unnecessary locking synchronization overhead. And all these techniques improve the efficiency of index construction．
25068 同时，采用基于 Hash 和 STＲ 的主、辅索引构建技术，满足高性能且多样化的查询需求． In addition, to meet the performance and diverse query requirements, we also adopt the primary-auxiliary index construction technology based on Hash and STＲ．
25069 另外，为进一步提高对象查询性能，引入聚合技术划分对象，提出了一种基于时间窗口对象聚合和批量装载的移动对象空间索引构建方法 OAHSTＲCL，对象查询时间约为 HSTＲCL 的 65% ，但对空间查询性能会有一定程度的影响。 To further improve the performance in the object query scenario, we invent another moving object spatial index construction method OAHSTＲCL via time window object aggregation and bulk loading, where objects are divided more finely, and the object query time required is about 65% of HSTＲCL, though it will affect the performance of spatial query to some extent．
25070 通过理论分析和多种实验验证了所提方法的有效性。 Theoretical analysis and experiments have demonstrated the effectiveness of our proposed methods．
25071 正确识别超声图像中的甲状旁腺结节对甲状旁腺功能亢进的诊断治疗非常重要。 It is very important to recognize parathyroid nodules correctly in ultrasound images for the treatment of hyperparathyroidism．
25072 由于病人个体的差异性和超声图像的复杂性，采用图像的形态特征和纹理特征识别甲状旁腺结节准确率低。 Due to individual differences of patients and complexity of ultrasound images, parathyroid nodules can't be recognized accurately by only using morphological features and texture features．
25073 本文提出利用包膜以及结节与甲状腺相对位置的先验知识特征描述方法，并将其与形态、纹理特征融合，采用支持向量数据描述(Support Vector DataDescription，SVDD)识别甲状旁腺结节。 In this paper, a prior knowledge feature description method is proposed on account of the characteristic of envelope and the relative location between the nodule and the thyroid． SVDD is applied to recognize parathyroid nodules based on the fusion features of prior knowledge features, morphological features and texture features．
25074 实验结果表明，先验知识特征可以准确描述甲状旁腺结节的特征，融合先验知识特征比仅利用形态特征和纹理特征具有更高的识别准确率。 The experimental results show that the prior knowledge features can describe the characteristics of parathyroid nodules well, and the accuracy by using the fusion features which combined prior knowledge features is higher than that of only using morphological features and texture features for the recognition of parathyroid nodules．