我们使用Gizzard库来处理数据分块层。
We use the Gizzard library to handle the partitioning layer.
研究了有限元网格模型的数据分块技术。
在数据分块组织的基础上构建了两层嵌套二叉树。
By organizing data block partition, two layer nested bintree were built.
数据分块和曲面拟合是逆向工程中最关键的部分。
Data segmentation and surface fitting are most key parts of reverse engineering.
给出了数据分块系统性方案，即从仅含有三维坐标的散乱的点云中自动提取几何曲面特性。
A systematic scheme is proposed to automatically extract geometric surface features from a point cloud composed of a set of unorganized three-dimensional coordinate points by data segmentation.
针对大规模地形数据庞大、绘制速度慢的问题，提出一种基于数据分块和包围球误差函数的地形绘制方法。
Aiming at the problem of large number of terrain data and low speed of terrain rendering, this paper presents a terrain rendering method based on data block and enclosing ball error metric.
每个结点表示一个DEM数据分块，根据如此剖分，由这棵四叉树结构就得到全球范围不同分辨率的DEM数据存储结构。
Each node represents one DEM data block. According this separation, by quad-tree data structure can get global different resolution DEM data storage architecture.
对应用数据分块，使得数据块大小符合通信子网mtu有效负载的要求，避免IP层分片需要重新分配缓冲区、计算校验和以及数据复制的费时操作。
Therefore, it can reduce one time data handling, 3 divide application data into blocks that content the demand of effective load of communication subnet MTU to avoid IP fragments.
使用第一页、下一页、上一页、和最后一页链接元素指导用户分块(这些块是可以管理的)查看数据。
Use the first, next, previous, and last link elements to guide your users through your data in manageable chunks.
数据根据节点分块，所以这些查询能分别在各自的数据块，通过一个索引过的范围查询得到结果。
Data is partitioned by node, so these queries can each be answered by a single partition, using an indexed range query.
MongoDB还带有交互式shell，这使得访问其数据存储变得简单，且其对于分块的即装即用的支持能够使高可伸缩性跨多个节点。
MongoDB also comes with an interactive shell that makes accessing its datastore refreshingly easy, and its out-of-the-box support for sharding enables high scalability across multiple nodes.
数据点云分块是逆向工程中一个非常关键的环节，测量数据的分块结果将直接影响到曲面拟合及CAD模型重建的质量。
The point cloud segmentation is an extremely essential step in the reverse model design. The segmentation results will affect the surface fitting and the CAD model reconstruction quality directly.
针对大规模地形数据庞大、地形绘制速度慢的问题，提出一种基于分块和包围球误差函数的地形绘制方法。
To a large number of terrain data and the slow speed of terrain rendering, presenting a terrain method based on data block and ball error metric.
嵌入式GIS地图数据是分幅、分块记录和存储的，物理完整的面状地理实体在切割边界会产生缝隙。
The data map is stored according to sheet or block in embedded GIS system, thus causing seam in the cutting-border for physical integrate area feature.
针对密码技术在数据保护方面的不足，提出一种新的数字水印算法——基于分块统计的水印嵌入算法。
In order to use cryptographic techniques to avoid the lack of data protection, this paper proposes a new watermark algorithm based on block statistics.
这一过程又称为数据包的分块和再组装。
This process is referred to as fragmentation and reassembly.
并以模拟坦克驾驶训练为例，论述了地形划分，分块地形数据的装入和预处理，碰撞检测，地形匹配及其算法。
Taking simulating the tank-drive training for example, terrain division, loading and pretreatment of terrain data, collision test and the algorithm of terrain match was discussed.
分块自适应量化(BAQ)算法是目前最适于工程实现的合成孔径雷达(SAR)原始数据压缩算法。
Block Adaptive Quantization (BAQ) is the most efficient algorithm for Synthetic Aperture Radar (SAR) raw data compression. In this paper, the theory on this algorithm is introduced.
方法MMFM将大规模数据文件映像成虚拟RAM，利用空间分块组织数据，减少缺页请求；
MMFM constructs streamlines like in-core methods through mapping large data file into virtual RAM, and reduces page faults by organizing data in spatial blocks.
在介绍当前体数据的数据模型与绘制方法的基础上，使用混合八叉树进行体数据的描述，实现了对其自适应分块存储。
Based on the introduction of common data models and rendering algorithms for volume data, this paper proposes a hybrid octree encoding to describe it.
针对视频图像场消隐期间无有效数据的特点，输入通道中外设以场为单位分块传输实时泄漏截获数据至主机。
Considering that there is no valid data in the vertical blanking intervals of the video signal, bulk transfer with one field as a unit is used in the input channel.
采用旋转矩阵和平移矩阵的方法使分块测量数据统一到同一个视场下，最后匀化、拼接成为一个整体。
Based on the method of rotation and movement matrices dividing region survey data was united into the same field, it was smoothed and integrated to the whole.
提出了基于视点的场景数据动态分块调入与释放策略。
The dynamic data partition and schedule strategy based on view point is presented.
介绍了在数据立方体上对于不同可信度的数据进行分块的方法，阐述了基于数据立方体分块的多维关联规则挖掘的算法。
This paper introduces partition method in data cube with different confidence, expatiates on multidimensional association rule data mining algorithm based on data cube partition.
利用格网分块结构高效组织海量多波束水深数据，分别采用三种数学模型内插网格节点水深值，实现了不同网格尺度下的数据抽稀。
The proposed method organized bathymetric data utilizing grid block structure, interpolated depth at grid node adopting three mathematical models and thinned data with multi-scale grid.
通过对地形数据简化分层、分块等数据处理建立金字塔数据模型来组织地形数据。
An organizing approach of data based on pyramid model using simplification, leveling and block processing technologies is put forward.
通过对一自由曲面分块测量及数据拼接实验表明，这种方法参数求解简单，空间距离拼接相对误差优于0.56%。
Through an experiment for free-form surface measurement, the approach is proven to be simple for parameter computation and its relative error for space length measurement is better than 0.56%.
采用基于线性四叉树的格网索引对点云数据建立索引，对点云数据进行分块提取；
The grid index based on linear quadtree is used to index the point cloud data, extracting the point cloud on the block.
该算法利用了图像数据的高阶统计特性对背景噪声进行盲估计，并通过相邻重叠分块间的特征估计来判断图像哪些部分被篡改。
By computing high order statistic characteristics of the background noise and estimating the neighboring overlap blocks, the algorithm could locate the forgery parts.
提出点云数据的可视化方法，采用分块的数据组织方式分层可视化点云数据。
The hierarchical visualization methods of point cloud data of blocks organization is proposed.
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