关键词： 输电线路   数据处理   研究  

ISBN: (纸本)9787030682871

摘要： 《输电线路三维激光扫描作业及数据处理》一书提出了三维激光扫描技术，输电线路巡检引用该项技术，从传统的“望远镜＋红外测温”的巡检方法转变到“机巡+人工”的广义巡检模式。本书详细介绍输电线路运维过程中直升机、无人机机巡及相关检修作业的流程、技术要点及安全风险与预控，并介绍后续机巡数据的处理分析及各种成果的生成。通过本书可以了解机巡作业各个环节的流程与技术要点。本书主要适用于输电线路激光点云采集作业飞行人员、作业后数据分析人员学习输电线路三维激光扫描作业技术及作业要领。

ISBN: (纸本)9787121420917

ISBN: (纸本)9787542967206

关键词： 计算机网络   科学技术管理法规   基本知识   中国   个人信息   法律保护   法规   数据处理   安全管理  

ISBN: (纸本)9787521622331

摘要： 《网络安全法数据安全法个人信息保护法一本通》书以法律的主体条文为序，逐条穿插关联的现行有效的法律、行政法规、部门规章、司法解释、请示答复，并附以相关案例，以方便读者理解和适用，是广大师生及相关实务人士查阅、解决有关法律问题必不可少的参考书。本书主要包括了“中华人民共和国网络安全法”“中华人民共和国数据安全法”“中华人民共和国个人信息保护法”三大部分内容。

关键词： Group method of data handling   Total organic carbon   Hydrocarbon potential distribution   Artificial neural network  

摘要： Recent advancement in computing capabilities has brought to light the application of machine learning methods in estimating geochemical data from well logs. The widely employed artificial neural network (ANN) has intrinsic problems in its application. Therefore, the objective of this study was to present a group method of data handling (GMDH) neural network as an improved alternative in predicting total organic carbon (TOC), S-1,S- and S-2 from well logs. The study used bulk density, sonic travel time, deep lateral resistivity log, gamma-ray, spontaneous potential, neutron porosity well logs as input variables to predict TOC, S-1, and S-2 of the Nondwa, Mbuo, and Mihambia Formations in the Triassic to mid-Jurassic of the Mandawa Basin in southeast Tanzania. The TOC prediction results indicated that the GMDH model trained well while generalizing better across the testing data than both ANN and Delta logR. Specifically, the GMDH provided TOC testing predictions having the least errors of 0.40 and 0.45 for mean square error (MSE) and mean absolute error (MAE), respectively, as compared to 1.27 and 0.81, 0.68 and 0.7, 1.4 and 0.89 obtained by backpropagation neural network (BPNN), radial basis function neural network (RBFNN), and Delta logR, respectively. For S-1 and S-2, the ANN models performed excellently during training but were unable to produce similar results when tested on the completely unseen well data. This represents a clear case of over-fitting by ANN. During testing, the GMDH avoided over-fitting and outperformed ANN by obtaining the least MSE of 0.04 and 1.16 and MAE of 0.07 for S-1 and S-2, respectively, while BPNN achieved MSE and MAE of 0.08 and 0.17 for S-1, 1.96, and 0.9 for S-2, and RBFNN obtained MSE and MAE of 0.15 and 0.25 for S-1 and 1.4 and 0.87 for S-2. Hence, the improved generalization performance of the GMDH makes it an improved form of a neural network for TOC, S-1,S- and S-2 prediction. The proposed model was further adopted to predict th

ISBN: (纸本)9787121421198

关键词： Embedded machine learning   real-time   tensorial kernel   tactile sensors   neural networks   singular value decomposition   FPGA  

摘要： This paper presents a novel hardware architecture of the Tensorial Support Vector Machine (TSVM) based on Shallow Neural Networks (NN) for the Single Value Decomposition (SVD) computation. The proposed NN achieves a comparable Mean Squared Error and Cosine Similarity to the widely used one-sided Jacobi algorithm. When implemented on an FPGA, the NN offers 324x faster computations than the one-sided Jacobi with reductions up to 58% and 67% in terms of hardware resources and power consumption respectively. When validated on a touch modality classification problem, the NN-based TSVM implementation has achieved a real-time operation while consuming about 88% less energy per classification than the Jacobi-based TSVM with an accuracy loss of at most 3%. Such results offer the ability to deploy intelligence on resource-limited platform for energy-constrained applications.

关键词： 哈齐高铁   精密控制网复测   数据处理  

摘要： 本文介绍某高寒铁路精密控制网复测的技术要求,结合项目特点及测量数据变化规律分析,给出了高寒地区铁路复测开始的时间;详细描述了高寒高铁精密控制网复测的数据处理流程,给出了超限点的分析更新方法,让超限点得到最优的更新成果.