溅射气压对ZnO薄膜的影响

采用射频磁控溅射的方法,通过改变溅射气压,在玻璃衬底上沉积出具有C轴择优取向的ZnO薄膜。用X射线衍射仪（xRD）、扫描电子显微镜（SEM）和原子力显微镜（AFM）对不同溅射气压下ZnO薄膜的结构、断面和表面形貌进行研究分析。结果表明,随着溅射气压的降低,ZnO薄膜的（002）取向增强,薄膜的厚度增加,沉积速率加快,氧化锌薄膜的沉积速率从4nm／min升高到21nm／min。在溅射压强为2．5Pa时制备的ZnO薄膜粗糙度最小,大小为5．45nm。     

Advanced Credit-Assignment CMAC Algorithm for Robust Self-Learning and Self-Maintenance Machine

Smart machine necessitates self-learning capabilities to assess its own performance and predict its behavior. To achieve self-maintenance intelligence, robust and fast learning algorithms need to be embedded in machine for real-time decision. This paper presents a credit-assignment cerebellar model articulation controller (CA-CMAC) algorithm to reduce learning interference in machine learning. The developed algorithms on credit matrix and the credit correlation matrix are presented. The error of the training sample distributed to the activated memory cell is proportional to the cell‘s credibility, which is determined by its activated times. The convergence processes of CA-CMAC in cyclic learning are further analyzed with two convergence theorems. In addition, simulation results on the inverse kinematics of 2degree-of-freedom planar robot arm are used to prove the convergence theorems and show that CA-CMAC converges faster than conventional machine learning.     

广州市住宅室内PM2.5排放源的定量计算

对广州市部分采样住宅室内、室外PM2.5的浓度进行了15 min平均的实时监测.室内浓度系列与室外浓度系列相比,出现多个明显的浓度峰,定性判断住宅室内存在一定的排放源.结合物质平衡模型、线性回归模型及室内外实时监测浓度线性拟合情况,定量计算住宅室内PM2.5排放源源强,结果表明3个采样住宅的PM2.5室内排放源的平均排放强度为6 417-9 779μg.h-1.     

爆轰波三波点擦除烟迹表面积碳机制

为理解三波点在壁面及端面积碳留下记录的确切机制,推动对螺旋爆轰内部结构的研究,采用端面烟熏玻璃与内壁烟膜结合的实验方法记录胞格结构,并得到不稳定、较稳定及稳定预混气的侧壁及端面爆轰记录.2H2+O2+3Ar给出了清晰精细的端面结果,其单头螺旋结果表明相对于结果近似的侧壁结果,内部螺旋结构并非固定.进而从附着碳粒的粒度尺寸分析出碳迹附着原理并结合五种预混气的反应特性,确定键能足以克服碳迹吸附在表面的力时才能擦除烟迹.另外预混气中的碳分子也会导致烟迹堆积而影响端面结果,反射激波的强度也影响记录的清晰度.最终确定烟迹擦除机制受预混气影响,应针对预混气选用表面粗糙度载体和积碳颗粒尺寸,并给出了记录爆轰结构的方法.     

Development of Virtual Equipment for a Hydraulic Mechanics Experiment

Laboratory class is very important in the education of hydraulic mechanics. However, it usually requires a high expenditure on equipment purchase and maintenance. Virtual equipment that renders the equipment in a virtual world and provides an interactive interface for users can be an ideal solution to reduce costs. In this research, we focus on developing virtual equipment for a Venturi tube experiment. We em-ployed multiple paper-prototypes to gather user feedback on the preliminary design. Following the final pro-totype, we then implemented the virtual equipment on computers. Interactive functions have been built into the virtual equipment. Users are able to manipulate the equipment and obtain real-time feedback as if they were using actual equipment. The results show that the development of the virtual equipment is technically feasible.     

基于仪器钻进系统的风化花岗岩地层界面识别

针对香港风化花岗岩场址勘探,在液压旋转钻机上安装钻孔过程监测系统(drilling process monitoring,DPM),对有效轴压力、钻具转速、冲洗压力、钻头位移及穿孔速率进行了实时监测.采用变斜率作为显著性指数,对地层中的主、次界面进行了识别.t检验表明,DPM系统对岩土界面识别的置信度为99%.此外,对穿孔参数在界面处的变化分析表明,这些参数随孔深的变化曲线在界面处存在不同涨落,轴压力和穿孔速率对界面上岩石强度变化的响应度为81.82%.     

Indexing large moving objects from past to future with PCFI

In moving object database, the moving objects' current position must be kept in memory, also to the trajectory, in some case, as same as the future. But the current existing indexes such as SEB-tree, SETI-tree, 2+3R-tree, 2-3RT-tree and etc. can only provide the capability for past and current query, and the TPR-Tree, TPR*-Tree and etc.can only provide the capability for current and future query. None of them can provide a strategy for indexing the past, current and also the future information of moving objects.In this paper, we propose the past-current-future Index (PCFI-Index) to index the past,current & future information of the moving objects. It is the combination of SETI-tree and TPR*-tree, the SETI liking index is used for indexing the historical trajectory segments except the front line structure, and the moving objects' current positions, velocities are indexed via the in-memory frontline structure which mainly implemented with TPR*-tree.Considering the large update operations on TPR-tree of large population, a hash table considering cache sensitivity is also introduced. It works with the frontline part, leading a bottom-up update of the tree. The performance analysis proves that the PCFI-index can handle most of the query efficiently and provides a uniform solution for the trajectory query, time-slice query, internal query and moving query.     

Assessment of Deformation of Shear Localized Chip in High Speed Machining

As the cutting speed goes higher, the mechanism of chip deformation will be changed significantly, i.e., continuous chip in low cutting speed will shift to serrated chip with shear localization. For the shear localized chip, the parameters used to assess the chip deformation for continuous chip, such as shorten coefficient ξ, shear angle φ and shear strain ε, can not describe the chip deformation correctly or comprehensively. This paper deals with the assessment of chip deformation of shear localization. Th...     

Distributed location-based query processing on large volumes of moving items

Recently,new techniques to efficiently manage current and past location information of moving objects have received significant interests in the area of moving object databases and location-based service systems. In this paper,we exploit query processing schemes for location management systems,which consist of multiple data processing nodes to handle massive volume of moving objects such as cellular phone users. To show the usefulness of the proposed schemes,some experimental results showing performance factors regarding distributed query processing are explained. In our experiments, we use two kiids of data set：one is generated by the extended GSTD simulator and another is generated by the real-time data generator which generates location sensing reports of various types of users having different movement patterns.