基于特征增强的三维网格模型孔洞修补算法

对物体进行扫描时,获取的三角网格模型不可避免存在孔洞,导致重建后的网格模型无封闭性,或在孔洞处失去了物体原有的特征[1].为了恢复物体原有真实形状,从恢复尖锐特征的角度出发,提出一种特征增强的三维网格孔洞修补算法.首先,利用径向基函数获得近似逼近孔洞区域的光滑隐式曲面.然后,利用正则化匹配原则对隐式曲面进行三角网格划分,缝合孔洞填充区域与原始网格模型的孔洞边界.最后,对于孔洞区域中存在的尖锐特征区域加以特征增强处理.实验结果表明该算法效率高,并能有效的恢复孔洞区域原有的尖锐特征.     

基于单元特定事件的多缓冲炼钢连铸生产调度建模

针对炼钢-连铸生产实际,提出多缓冲炼钢-连铸生产调度问题。考虑缓冲、分配、排序、时间、连铸等实际约束,建立基于单元特定事件的连续时间混合整型线性规划模型,实际案例验证了该模型的有效性。     

单轴压缩下煤体声发射特征及损伤演化过程分析

声发射是煤等脆性材料破坏过程中经常伴随的现象,是脆性材料因外力受损在其内部以弹性波快速释放出来的应变能,因应力分布不均匀所导致的由不稳定高能态向稳定的低能态过渡时产生的松弛过程,其活动性反映了煤微观破坏的活动性.通过声发射振铃计数率和能量计数率的特征研究了煤岩在各阶段的损伤演化过程,确定了煤损伤各个阶段的损伤临界值.     

变电站直流系统不间断电源UPS综述

变电站交流不间断电源系统（UPS-uninterrupted power system）为变电站自动化、远动设备、保护信息、电能计量及安防装置等重要负荷提供稳定可靠的电源。本文主要介绍了目前主流的UPS实现方式,并对其中的关键技术以及目前存在的问题、国内外的进展情况进行了相应的分析,同时展望了变电站不间断电源的发展方向。     

高职英语职业能力教育探讨与研究

本文通过分析外资企业对高职毕业生的职业能力素质要求,分析了当前高职英语课程教育的弊端,探讨以就业导向为基础,开展高职英语职业能力教育的新思路,通过相关课程的教学改革与实践,实现了高职学生英语职业能力的提升。     

Novel approaches to produce Al2O3– TiC/TiCN– Fecomposite powders directly from ilmenite

Al2O3 –TiC/TiCN–Fe composite powders were successfully prepared directly from ilmenite at 1300–1400℃.The effects of Al/C ratio,sintering atmosphere,and reaction temperature and time on the reaction products were investigated.Results showed that the nitrogen atmosphere was bene cial to the reduction of ilmenite and the formation of Al2O3 –TiC/TiCN–Fe composite powders.When the reaction temperature was between 600 and 1100℃,the intermediate products,TiO2,Ti3O5 and Ti4O7 were found,which changed to TiC or TiCN at higher temperature.Al/C ratio was found to affect the reaction process and synthesis products.When Al addition was 0.5 mol,the Al2O3 phase did not appear.The content of carbon in TiCN rose when the reaction temperature was increased.     

特高压直流线路对调幅广播台无源干扰防护间距的求解

采用输电线路无源干扰线-面混合模型计算无源干扰水平,即将线路铁塔仿真为面模型,地线仿真为线模型,整个仿真模型采用垂直极化平面波进行激励.计算无线电台的整个工作频段以确定防护间距所在的区间,然后采用二分法逐步缩小区间,直到区间长度小于允许的误差,从而得到较准确的防护间距.以调幅广播收音台一级台为例,求解了特高压直流输电线路对其的防护间距.     

生物光子与神经信号传递和处理

指出了针对神经信号传递和处理的主流理论的争论,即神经信号以电信号和化学信号的形式进行传递处理的理论虽然可以很好地解释感觉、运动、反射等神经系统的低级功能,但很难构建出解释大脑高级功能和精神活动的一般概念或原则.提出了神经回路中存在有生物光子(又称生物超弱发光)传递,并可能介导神经信号的传递和处理、参与人脑的高级功能和精神活动.综述了生物光子在神经回路中传递及介导神经信号传递处理的相关理论假说和实验研究.     

Episodic crustal anatexis and the formation of Paiku composite leucogranitic pluton in the Malashan Gneiss Dome, Southern Tibet

The Paiku composite leucogranitic pluton in the Malashan gneiss dome within the Tethyan Himalaya consists of tourmaline leucogranite, two-mica granite and garnet-bearing leucogranite. Zircon U-Pb dating yields that (1) tourmaline leucogranite formed at 28.2±0.5 Ma and its source rock experienced simultaneous metamorphism and anatexis at 33.6±0.6 Ma; (2) two-mica granite formed at 19.8±0.5 Ma; (3) both types of leucogranite contain inherited zircon grains with an age peak at ～480 Ma. These leucogranites show distinct geochemistry in major and trace elements as well as in Sr-Nd-Hf isotope compositions. As compared to the two-mica granites, the tourmaline ones have higher initial Sr and zircon Hf isotope compositions, indicating that they were derived from different source rocks combined with different melting reactions. Combined with available literature data, it is suggested that anatexis at ～35 Ma along the Himalayan orogenic belt might have triggered the initial movement of the Southern Tibetan Detachment System (STDS), and led to the tectonic transition from compressive shortening to extension. Such a tectonic transition could be a dominant factor that initiates large scale decompressional melting of fertile high-grade metapelites along the Himalayan orogenic belt. Crustal anatexis at ～28 Ma and ～20 Ma represent large-scale melting reactions associated with the movement of the STDS.     

Informative gene selection using the Algebraic Connectivity Strength of Point and Scoring Criteria

This paper presents a novel method that integrates the Algebraic Connectivity Strength of Point(ACSP) and Scoring Criteria to identify genes associated with tumor type.First,for each gene,the ACSP is used to identify reliable expression levels of the gene in all the samples.The informative genes are then selected using Scoring Criteria based on these reliable expression levels.Finally,the Support Vector Machine(SVM) classifier is used to classify the two datasets of gene expression profiling.The results show that the informative genes selected by the proposed method have higher credibility than those selected by Scoring Criteria alone.