ID 原文 译文
24835 基于簇的 UEs分类方案将 UEs分为不同类型的簇中心和簇边缘 UEs； The cluster-based UEs classification scheme divides UEs into different types of cluster center and cluster edge UEs.
24836 联合频谱分配方案，将可获得的频带分为正交的两个子带，不同类型的 UEs (BSs)共享子带。 The joint spectrum allocation scheme divides the available frequency band into two orthogonal sub-bands, which are allocated to different types of UEs (BSs).
24837 对此设计，建立了 D2D 接收机的干扰模型，给出了干扰分布，并分析了簇中心和簇边缘 D2D 接收机的覆盖概率。 For this design, this paper establishes a D2D receiver interference model, gives the interference distribution, and analyzes the coverage probability of the cluster center and cluster edge D2D receivers.
24838 仿真和数值结果表明 D2D 网络覆盖概率随着微微 BS (Pico BS, PBS)发射功率的减小而增加。 Simulation and numerical results show that the D2D network coverage probability increases as the transmit power of pico BS (PBS) decreases.
24839 同时，也给出了 PBS 覆盖半径和 D2D 发射机覆盖半径对D2D网络覆盖概率的影响。 Meanwhile, the influence of the coverage radius of PBS and D2D transmitters on the coverage probability of the D2D network is also given.
24840 植入式医疗电子设备向着微型化、网络化、智能化方向快速发展，其涉及的科学技术也不断更新迭代。 With miniaturization, networklization and intelligentization of implantable medical electronic devices, the science and technology related are constantly updated and iterative.
24841 本文回顾植入式医疗电子设备及其核心关键技术的发展历程，探讨从体内生理信息精准传感、经体无线可靠传输到体外大数据高效处理的各项技术，呈现相关科学研究的最新动态和发展方向，并提出可智能实时监测支架植入术后“再狭窄”与“内漏”的新一代智能血管支架，为未来血管支架的发展提供全新理念及方向，推动我国植入式医疗电子设备朝着高端化、智能化道路发展。 This paper reviews the development of implantable medical electronic devices as well as related crucial technologies, discusses from accurate sensing of physiological information in vivo, wireless reliable transmission to efficient processing of in vitro big data, and presents the latest development and direction of the scientific research. On this basis, the paper proposes a generation of intelligent vascular stents that can intelligently and constantly monitor "restenosis" and "endoleak" after stent implantation, which provides a concept and direction for the future development of vascular stents. This technology promotes China's internal implantable medical electronic devices to develop in the direction of highend and intelligentization.
24842 针对自然语言处理中查询主题漂移和词不匹配问题，提出基于CSC(Copulas-based Support and Confidence)框架的关联模式挖掘与规则扩展算法，并将基于统计学分析的关联模式与具有上下文语义信息的词向量融合，提出关联模式挖掘与词向量学习融合的伪相关反馈查询扩展模型。 In order to solve the problems of query topic drift and word mismatch in natural language processing, an algorithm of association pattern mining and rule expansion based on CSC (Copulas-based Support and Confidence) framework is proposed. The association patterns based on statistical analysis are fused with the word embedding with context semantic information, and a pseudo-relevance feedback query expansion model is presented based on the fusion of association pattern mining and word embedding learning.
24843 该模型对伪相关反馈文档集挖掘规则扩展词，对初检文档集进行词嵌入学习训练得到词向量，计算规则扩展词与原查询的向量相似度，提取向量相似度不低于阈值的规则扩展词作为最终扩展词。 In this model, the rule expansion terms are mined from the pseudo-relevance feedback document set, and the word vectors are obtained by word embedding learning training of the initial document set. The vector similarity between the rule expansion term and original query is calculated, and the rule expansion terms whose vector similarity is not lower than the threshold are extracted as the final expansion terms.
24844 实验结果表明，所提扩展模型能有效地减少查询主题漂移和词不匹配问题，提高检索性能，与现有基于关联模式的和基于词向量的查询扩展方法比较，MAP（Mean Average Precision）平均增幅最大可达 17.52%，对短查询更有效。 The experimental results show that the proposed expansion model can effectively reduce the problems of query topic drift and word mismatch, improving the performance of information retrieval. Compared with the existing query expansion methods based on association pattern and word embedding, the average increase of the MAP（Mean Average Precision）of the proposed expansion model is up to 17.52%. The expansion model in this paper is more effective for short queries.