ID 原文 译文
40036 通过对芯片操作时间的精确分析，提高了资源利用率。 Through the accurate analysis of chip operation time, the resource utilization rate is improved.
40037 系统用FPGA作为主控芯片，通过例化IP核创建了两个FIFO，用作数据的乒乓读写，并用两块NAND FLASH芯片的四个片选构成四流水线操作。 The system uses FPGA as the control chip, as well as creates two FIFOs through IP core, which is used for ping-pong reading and writing of data, and uses four chips of two NAND FLASH chips to form four-line operation.
40038 通过Modelsim仿真工作过程、FPGA生成伪随机码的数据写-读实验和读出数据的相关性检测试验验证了该流水操作的可行性、存储速率和存储连续性。 The feasibility, storage rate and storage continuity of the pipelined operation are verified by Modelsim simulation and FPGA generated pseudo-random code data write-read experiment and read-data correlation detection test.
40039 结合红外相机实物采集并存储数据，然后通过上位机读取，得到了正确、连续的红外图像。 Combining with the infrared camera to collect and store data, and then through the host computer to read, the correct and continuous infrared image is displayed.
40040 通过扩展缓存和FLASH片数，可以在保证连续性的同时提高存储的速率，即该系统具有存储速率高、适应性强的特点。 By expanding the number of caches and flash chips, the continuity can be ensured and the storage rate can be improved, showing that the system has the characteristics of high storage rate and strong adaptability.
40041 近年来，深度学习被广泛应用于各个领域并取得了显著的进展，如何利用深度学习高效管理呈爆炸式增长的三维模型一直是一个研究热点。 In recent years, deep learning has been widely used and achieved significant development in various fields. How to utilize deep learning to effectively manage the explosive increasing 3 D models becomes a hot topic.
40042 本文介绍了发展至今主流的基于深度学习的三维模型检索算法，并根据实验得出的算法性能评估分析了其优缺点。 This paper introduces the mainstream algorithms for deep learning based 3 D model retrieval and analyzes the advantages and disadvantages according to the experimental performance.
40043 根据检索任务的不同，可将主要的三维模型检索算法分为两类：（1）基于模型的三维模型检索方法，即检索对象与被检索对象都是三维模型， In terms of the retrieval tasks, 3 D model retrieval algorithms are classified into two categories:(1)Modelbased 3 D model retrieval algorithms require that both query and gallery are 3 D models.
40044 按照对三维模型的表示方式不同，可进一步分为基于体素、基于点云和基于视图的方法； It can be further divided into voxel-based method, point cloud-based method and view-based method in regard of different representations of 3 D models.
40045 （2）基于二维图像的跨域三维模型检索方法，即检索对象是二维图像，被检索对象是三维模型，包括基于二维真实图像和基于二维草图的三维模型检索方法。 (2)For 2 D image-based cross-domain 3 D model retrieval algorithms, the query is 2 D image while the gallery is 3 D model.It can be classified to 2 D real image-based method and 2 D sketch-based method.