基于无线网络的制造业物料配送系统的设计*

针对制造业传统物料配送系统存在的缺点,基于业务流程再造的理念,运用无线局域网技术设计了全新的物料配送系统。该系统能够对配送流程进行优化,提高了配送效率,有效地解决了配送不及时所造成的生产速度瓶颈问题。     

碳氮共渗提高空心圆柱滚子轴承寿命的研究

通过GCr15钢碳氮共渗,在表层获得大量的残余奥氏体。磨损中,马氏体组织剥落,残余奥氏体则成小岛状,进而在表面迁移发生形变诱发马氏体相变,使耐磨性得以提高。同时,共渗在空心滚子内表面造成的压应力对改善弯曲疲劳性能有利。     

火焰原子吸收光谱法测定高纯石英粉中痕量钙

系统地研究了用空气——乙炔火焰原子吸收光谱分析法测定高纯石英粉中钙的最佳条件，建立了14％的乙醇作为增感剂，在2％盐酸介质中，0．4％ LaCl3溶液作为释放剂，用塞曼火焰原子吸收法测定的可行性方案，探讨了共存元素对钙的干扰及其消除。方法操作简便快速，干扰少，方法相对标准偏差小于3％，适用于日常分析石英粉中的杂质。     

Coupling-and-decoupling: A hierarchical model for occlusion-free object detection

Handling occlusion is a very challenging problem in object detection. This paper presents a method of learning a hierarchical model for X-to-X occlusion-free object detection (e.g., car-to-car and person-to-person occlusions in our experiments). The proposed method is motivated by an intuitive coupling-and-decoupling strategy. In the learning stage, the pair of occluding X?s (e.g., car pairs or person pairs) is represented directly and jointly by a hierarchical And–Or directed acyclic graph (AOG) which accounts for the statistically significant co-occurrence (i.e., coupling). The structure and the parameters of the AOG are learned using the latent structural SVM (LSSVM) framework. In detection, a dynamic programming (DP) algorithm is utilized to find the best parse trees for all sliding windows with detection scores being greater than the learned threshold. Then, the two single X?s are decoupled from the declared detections of X-to-X occluding pairs together with some non-maximum suppression (NMS) post-processing. In experiments, our method is tested on both a roadside-car dataset collected by ourselves (which will be released with this paper) and two public person datasets, the MPII-2Person dataset and the TUD-Crossing dataset. Our method is compared with state-of-the-art deformable part-based methods, and obtains comparable or better detection performance.     

Efficient object detection based on selective attention

In this paper, we make use of biologically inspired selective attention to improve the efficiency and performance of object detection under clutter. At first, we propose a novel bottom-up attention model. We argue that heuristic feature selection based on bottom-up attention can stably select out invariant and discriminative features. With these selected features, performance of object detection can be improved apparently and stably. Then we propose a novel concept of saccade map based on bottom-up attention to simulate the saccade (eye movements) in vision. Sliding within saccade map to detect object can significantly reduce computational complexity and apparently improve performance because of the effective filtering for distracting information. With these ideas, we present a general framework for object detection through integrating bottom-up attention. Through evaluating on UIUC cars and Weizmann–Shotton horses we show state-of-the-art performance of our object detection model.     

A comparative study of iterative and non-iterative feature selection techniques for software defect prediction

Two important problems which can affect the performance of classification models are high-dimensionality (an overabundance of independent features in the dataset) and imbalanced data (a skewed class distribution which creates at least one class with many fewer instances than other classes). To resolve these problems concurrently, we propose an iterative feature selection approach, which repeated applies data sampling (in order to address class imbalance) followed by feature selection (in order to address high-dimensionality), and finally we perform an aggregation step which combines the ranked feature lists from the separate iterations of sampling. This approach is designed to find a ranked feature list which is particularly effective on the more balanced dataset resulting from sampling while minimizing the risk of losing data through the sampling step and missing important features. To demonstrate this technique, we employ 18 different feature selection algorithms and Random Undersampling with two post-sampling class distributions. We also investigate the use of sampling and feature selection without the iterative step (e.g., using the ranked list from a single iteration, rather than combining the lists from multiple iterations), and compare these results from the version which uses iteration. Our study is carried out using three groups of datasets with different levels of class balance, all of which were collected from a real-world software system. All of our experiments use four different learners and one feature subset size. We find that our proposed iterative feature selection approach outperforms the non-iterative approach.     

如何实现SAP ERP财务报表的灵活定制

如何使得一个不具备ABAP编程语言基础的财务用户能在SAP系统中快速有效地配置财务报表,并灵活定义输出格式,是许多实施SAP ERP系统的公司都会遇到的问题。本文介绍的财务模块报表定制功能旨在SAP ERP中构建一个可视化图形界面,在这个界面中定义报表、报表版本,以及每个版本的输出布局、报表行、报表列、报表单元格的取数逻辑等要素,使得用户在不使用编程工具的前提下实现报表的灵活定制。     

基于OGC标准的水利一张图关键技术解析

为解决水利空间数据共享困难的问题,江苏省基于开放地理信息标准,采用去中心化技术路线,构建水利一张图。利用OGC(开放地理空间信息联盟)提供空间数据交换和服务互操作协议,具体接口可以在业务领域定制化实现,提出以OWS(OGC网络服务)融合异构空间数据,实现地图局部更新和统一风格展示;通过URI定位属性并与Solr搜索引擎结合,扩展WFS实现基于语义的空间信息查询;基于服务链和工作流整合水利空间功能;结合LDAP协议实现CSW服务,构建跨部门、级别、业务的细粒度空间信息目录;通过服务负载均衡,实现云端GIS等方案。从技术上实现水利一张图平台框架,可满足水利空间信息公共服务的功能、性能需求,并为基于水利一张图整合全省水利信息资源,提供理论参考和技术借鉴。     

针对网络不良信息的字词过滤系统设计

复杂网络环境中的不良信息处理技术需要不断更新改进。针对大量不良信息难以及时准确予以过滤净化的问题,重新设计一套字词过滤系统。详细介绍该系统中后台数据库维护、随机数据抽取、信息处理、模式匹配、审核过滤等模块的功能,并给出程序实现流程。     

高铬铸铁筛板研究

对高铬铸铁合金化和热处理工艺的研究结果表明，选用Ｃｒ／Ｃ比为７左右的Ｃｒ２０型高铬铸铁，在添加适量的Ｍｏ、Ｃｕ、Ｍｎ，并经合适的热处理后，可获得在马氏体基体上分布着较为均匀的Ｍ７Ｃ３型碳化物，使材料达到良好的强韧性配合，耐磨性明显提高，使用寿命明显高于原用筛板，达到与进口筛板相当的寿命，具有明显的经济效益。