决策表中基于对象的μ-约简方法研究

研究了不协调决策表中基于对象的μ-约简问题,给出了μ-约简的一些性质及等价定义,得到了μ-约简的判定定理和相应的可辨识矩阵及辨识公式,从而提供了不协调目标信息系统知识约简的新方法。并通过实例将决策表中基于对象的约简与整体约简进行了对比,结果表明前者可以得到更简洁的知识。该方法也适用于协调目标信息系统。     

Local adaptive segmentation algorithm for 3-D medical image based on robust feature statistics

Medical image segmentation is of pivotal importance in computer-aided clinical diagnosis. Many factors, including noises, bias field effect, local volume effect, as well as tissue movement may affect the med- ical image, thus causing blurring or uneven characteristics when forming a picture. Such quality defects will inevitably impair the gray-scale difference between adjacent tissues and lead to insufficient segmentation or even leakage during tissue or organ segmentation. In the present investigation, a local adaptive segmentation algorithm for 3-D medical image based on robust feature statistics （LARFS） was proposed. By combining segmentation algorithm principles for traditional region growing （RG） and robust feature statistics （RFS）, the location and neighborhood image information of input seed point can be comprehensively analyzed by LARFS. Results show that, for different segmentation objects, under controlling the input parameter of growing factor within certain range, LARFS segmentation algorithm can adapt well to the regional geometric shape. And be- cause the robust feature statistics is applied in the contour evolution process, LARFS algorithm is not sensitive to noises and not easily influenced by image contrast and object topology. Hence, the leakage and excessive segmentation effects are ameliorated with a smooth edge, and the accuracy can be controlled within the effective error range.     

纳米管合成研究进展

当今纳米科学技术飞速发展，其中纳米管已构成了纳米材料的一个非常重要的类别。本文介绍近几年来由化学键结合的纳米管以及由分子间力形成的一些纳米或具有中观尺度的管状结构材料的合成研究进展。     

“EM”水玻璃自硬砂的应用

本文介绍了一种可用于大型铸铜件的“EM”水玻璃自硬砂.通过实验及实际生产验证,该砂在满足强度要求的同时还可明显减少水玻璃的加入量,且该砂的溃散性很好,各方面均优于传统的水玻璃砂.     

学习行为大数据可视化的网络数据库学习仿真

针对传统数据库学习可视化程度低,有效提高学习效率,构建了学习行为大数据可视化的网络数据库学习方法.分析学习行为具体特征,结合贝叶斯理论按学习资源归类可视化数据;设定相关学习变量,观测变量,分别将正确率、错误率、所学知识难度、遗忘概率及状态概率等特征作为可视化函数,通过对学习行为数据采集和储存、分析学习行为及建立可视化模块,建立大数据可视化的网络数据库,充分掌握学习者学习行为情况,随后设定数据库学习评定指标函数;仿真结果表明,所提方法学习结果准确性高和平均任务完成效率都有较大提高,学习者的学习能力有显著提升,方法可行性更高.     

融合共现推理的Faster R-CNN输电线路金具检测

为促进目标检测模型与电力领域业务知识有机融合,缓解金具样本间长尾分布问题,有效提升输电线路金具的自动化检测效果,提出了融合共现推理的Faster R-CNN(faster region-based convolutional neural network)输电线路金具检测模型。首先,深入研究输电线路金具结构化组合规则,通过数据驱动的方式以条件概率对金具目标间的共现连接关系进行有效表达;然后,结合图学习方法,利用学习并映射的共现概率关联作为共现图邻接矩阵,使用基线模型(Faster R-CNN)提取的特征向量作为图推理输入特征,以自学习的变换矩阵作为共现图传播权重,完成图信息传播并实现有效的共现推理模型嵌入。实验证明,融合共现推理模块的Faster R-CNN模型较原始模型提升了6.56%的准确率,对于长尾分布样本中数量较少的金具性能提升尤其显著。     

杨房沟水电站建设质量智慧管理系统的研发及应用

为提高工程管理效率、控制工程质量、减少人为因素对工程质量的影响,利用信息化、数字化、自动控制等技术对施工过程中的信息、混凝土温度、混凝土振捣、灌浆等环节进行智能监控和管理。为此,杨房沟水电站依托设计施工BIM管理系统的质量管理功能模块,以及由BIM系统集成的智能温控、智能振捣、智能灌浆、全过程影像采集系统,研发形成了大坝智能建造环境下的质量智慧管理系统。通过实现施工质量信息“实时采集-实时分析-决策反馈”的动态质量管理,解决了EPC建设模式以及传统大坝质量管理存在的施工质量控制、信息收集、分析、决策等方面的问题,提高了管理效率和管理质量,取得了较好的管理成效。     

一种基于用户投资偏好与产品特征的P2P网贷个性化推荐算法

互联网金融的蓬勃发展,在将普惠金融的实惠带给投资者的同时,也因理财产品的多样化,给投资者带来了挑选适合自己的网贷产品的困扰。鉴于此,系统结合P2P网贷平台投资者的个人投资偏好和平台产品的特征,设计了一种基于用户账户持续时间、活跃度及投资偏好的P2P网贷个性化推荐算法,以节约投资者决策时间,加快平台资金筹集进度。     

高选择性陷波超宽带天线设计

The resonant properties of the interdigital capacitance loading loop resonator (IDCLLR) and its dual counterpart complimentary interdigital capacitance loading loop resonator (CIDCLLR) are studied. Due to the high capacitance/inductance of the IDCLLR/CIDCLLR, the resonators can generate lower resonant frequencies and narrower resonant bandwidths than many other structures. A compact ultra-wideband (UWB) antenna with quadruple sharp band-notching characteristics is presented by utilizing IDCLLRs and CIDCLLRs. Measured results show that the proposed antenna has a wide bandwidth from 3 to 11GHz(VSWR<2), with four sharp notched bands centered on 3.5, 5.2, 5.8 and 7.5GHz, respectively, avoiding the elimination of many useful frequencies. Moreover, the presence of IDCLLRs and CIDCLLRs scarcely affects the performance of the UWB antenna at its operating frequencies.     

Analysis on the gear-shifting schedule of hydraulic automatic transmission

With an advanced foreign hydraulic automatic transmission as the objective, an analytical method for the gear-shifting schedule is proposed. First the demanded maximum gradient of test is estimated. Then a test scheme and analytical procedure is formulated by initial test and hypothetical shift parameters. Finally through gear-shifting tests under different road conditions, load, accelerator pedal position limitation, throttle opening and output shaft speed are found to be the gear-shifting parameters. Under a common road condition, the gear-shifting schedule is a double-parameter schedule. Based on the driver''s demands on braking and dynamic performance, different shift schedules are made under downhill, uphill and quick releasing acceleration pedal conditions. The operation criteria of down-shift schedule on abrupt grade are proposed.