基于二进制搜索算法的RFID系统防碰撞算法

针对RFID系统中最常见的防碰撞问题,提出了一种基于二进制搜索的防碰撞算法.算法能动态调整指令发送长度和发送值,并在发生碰撞时,首先通过碰撞位中"1"的个数来识别标签.该算法能有效解决RFID系统中多目标识别的防碰撞问题.     

面向视残障人士的无障碍化信息服务平台的设计与实现

遵循无障碍化设计准则,开发了一个面向视残障人士的信息服务平台,平台可提供北京2008奥运会和残奥会相关交通和服务设施信息的检索和发布、导航定位地图数据下载与维护、网络社区等服务。网络社区包括在线聊天室和留言板可为残障人士提供网络交互平台。视障人士用导航终端下载该平台提供的最新地图数据实现准确实时的导航定位功能,从而有助于视障人群外出更加安全和方便。此外采用MVC设计模式提高了系统的可扩展和易维护性。     

采用元数据Web Service技术结合的数据共享研究

随着计算机技术的发展和信息化进程的推进,各部门的数据以令人惊异的速度增长,不同数据库管理系统存储并管理着数据,异地系统间的异构性使企业和机构间的数据访问存在诸多的不便,大大降低了信息的利用效率。针对这一情况,提出了结合元数据和Web Service技术实现数据共享问题的解决方案,充分发挥元数据在数据管理方面的特性和Web Service在分布式计算上的优势,实现共享数据的集中性管理和分布式存储,并对崇明岛生态环境数据共享平台的开发建设进行了具体的研究。     

大型邮件服务器性能测试方法及实践

该测试是对邮件系统性能进行的评估测试.测试过程针对邮件服务器的特点,分别设计不同邮件协议下的测试脚本,并根据用户对系统性能的设计目标,模拟一定数量的用户压力,测试系统的可靠性、处理能力等.测试工具采用了Spirent Avalanche 220和Reflector 220以及Compuware QALoad 5.0.     

DFT与OFF相结合的RDX分子设计

RDX是环三甲撑三硝胺的简称,又名黑索金.是军民领域常用的高能炸药.生成焓是炸药的基本热力学性质,是其含能高低的标志,从理论上计算分子结构并预测其生成焓对含能材料的分子设计和品优炸药的筛选具有重要意义.在众多计算方法中,DFT采用大型基组计算目标分子的全电子,结果精确,可信度高,缺点是需时长,耗费计算资源;基于半经验法的从头算法是对Hartree-Fock方程的近似求解,耗费机时少,但结果可信度低;分子力场(OFF)基于牛顿经典力学,以原子间的相互作用势函数(或称力场)来描述分子内和分子间的作用力,计算速度非常快,可计算大分子或高分子材料的物理性质,但在计算分子结构方面效果不太理想.本文用密度泛函理论(DFT)与开放力场(OFF)相结合的方法,计算高能炸药--黑索金(RDX)的分子结构和气相生成焓,在保证计算精度的同时节约了时间.在构象搜索阶段,分别采用分子力学(MM)和分子动力学(MD)方法,实现对目标分子的结构驰豫和模拟退火,在分子的几何结构优化阶段,则采用DFT GGA-BLYP法.分析优化RDX分子的键长与键角表明,RDX分子结构的计算结果与实验测定基本吻合.设计反应路径,并利用DFT GGA-BLYP计算出RDX的气相生焓为188.604 kJ/mol,与实验测定值191.444 kJ/mol接近.     

脱氧腺苷红外光谱计算方法表征

采用GAUSSIAN03计算化学软件,运用Hartree-Fock(HF)/3-21G基组进行运算.在GaussView软件帮助下,优化了脱氧腺苷分子几何结构,描述了优化结构.计算出脱氧腺苷单体大分子红外光谱振动频率并绘制红外谱图,在量子力学理论基础上计算出分子能量、焓值、零点能,并计算NBO,得到HOMO和LUMO能级以及分子中各原子上的电荷分布数值.其前沿轨道HOMO的能级E=-0.29949 eV,LUMO的能级E=0.14324 eV.二者相差0.44273 eV.脱氧腺苷分子比较稳定.与国外脱氧腺苷红外光谱实验数据进行比较,计算得到的图谱峰形清晰,容易辨认,计算了理论数据与实验数据之间的误差,误差范围在-2.97%～11.26%之间.为红外实际测试提供有力技术参照参数,可以帮助印证实验数据的可靠性.在一般环境条件下,脱氧腺苷分子结构和组成通常较稳定,但在特殊条件(如:UV辐射和氧化作用及环境类紧张性刺激)下可能发生变化.     

应用带补偿的机会约束规划策略优化精馏过程的研究

精馏过程优化存在许多不确定变量,其对优化结果的影响是不可忽略的,所以需要找到真实反映不确定变最的数学模型,找到最优的求解方法得到精确解,进而得到最优的优化结果.本研究通过分析随机规划策略和不确定因素的特性及其对精馏优化过程的影响,对不确定因素进行分类,应用带补偿的随机规划和机会约束规划实现不确定因素对优化目标和约束的影响.对于模型中的机会约束,由于不确定输入变量和不确定输出变量间存在单调关系,所以可以通过对不确定输入变量的多重积分将机会约束转化为等价地确定性非线性约束,此时模型转化为含有非线性约束的带补偿的随机规划模型,此模型通过改进的蒙特卡罗(Monte Carlo)积分和含有序列2次规划(SQP)的Benders分解相结合的混合算法有效的求解.所提出的求解方法借助于Matlab软件能够得到比较精确的结果.采用本文所提出的模型及求解方法对精馏塔操作的模拟实验过程进行优化研究,可以看出带补偿的机会约束规划模型能够很好地反映不确定变量对优化过程的影响.所以本文提出的模型和求解方法是有效可行的,且对于以后的不确定优化研究具有很好的指导意义.     

Labeling design documents based on operators’ consensus—A case study of robotic design

Designers usually begin with a database to look for historical design solution, available experience and techniques through design documents, when initiating a new design. This database is a collection of labeled design documents under a few of predefined categories. However, little work has been done on labeling a relatively small number of design documents for information organization, so that most of design documents in this database can be automatically categorized.This paper initiates a study on this topic and proposes a methodology in four steps: design document collection, documents labeling, finalization of documents labeling and categorization of design database. Our discussion in this paper focuses on the first three steps. The key of this method is to collect relatively small number of design documents for manual labeling operation, and unify the effective labeling results as the final labels in terms of labeling agreement analysis and text classification experiment. Then these labeled documents are utilized as training samples to construct classifiers, which can automatically give appropriate labels to each design document.With this method, design documents are labeled in terms of the consensus of operators’ understanding, and design information can be organized in a comprehensive and universally accessible way. A case study of labeling robotic design documents is used to demonstrate the proposed methodology. Experimental results show that this method can significantly benefit efficient design information search.     

Electric contacts inspection using machine vision

Machine vision is an excellent tool for inspecting a variety of industrial items such as textiles, printed circuit boards, electric components, labels, integrated circuits (IC), machine tools and fruits. In this paper, we propose machine vision-based inspection system for electric contact (EC), which are popularly used in switches, breakers and relays, and are important components in the electrical industry. The proposed system consists of three sub-systems, which inspect the top, side, and bottom surfaces of electric contact for different types of defects respectively. The system acquires the digital image of three views and classifies the surface defects including cracks, breaks, and scratches. For each view, this study develops different image pre-processing and feature extraction methods to enhance and detect the surface defects. The proposed system was implemented and verified using 229 samples collected from the EC production lines. Experimental results show the proposed system is effective and efficient in identifying EC defects.     

Building a database for product design knowledge retrieval—A case study in robotic design database

In product design process, when dealing with technical problems or initiating a new design, R&D personnel would often turn to technical database to seek inspiration. The building of a database with such documents has not been systematically dealt with. In this paper, several issues on how to build up a product design database are investigated: input source, sampling scheme and quality control. A case study of building a database for robotic design is used to demonstrate the concept. It is an archive of more than 1500 relevant technical papers. A total of 16 graduates are employed as operators in the labeling process and subsequently the hypothesis tests are utilized to process the labeling results. To ensure this database quality, the labeling consistency of each operator and the understanding of each category are tested. With the use of statistical methods, this work proposes a feasible and practical way to create such a database for product design.