Recovery of sensor embedded washing machines using a multi-kanban controlled disassembly line

Product recovery involves the recovery of materials and components from returned or end-of-life products. Disassembly, an element of product recovery, is the systematic separation of an assembly into its components, subassemblies or other groupings. Stricter environmental regulations together with dramatic decrease in natural resources and landfills have increased the importance of disassembly as all product recovery options require some level of disassembly. Due to changes made during the lifetime of a product by customers or service personnel, the number and the version of components prior to disassembly is unknown. Customers may also discriminate between and demand different versions of components. The existence of non-functional components further adds to the uncertainty associated with disassembly yield. Sensors implanted into products during their production can address this uncertainty by providing information on the number, condition and version of components prior to disassembly. In this study, we evaluate the impact of sensor embedded products (SEPs) on the various performance measures of a washing machine (WM) disassembly line controlled by a multi-kanban system, which takes into consideration the highly stochastic behavior of the line while managing material and kanban flows. First, separate design of experiments studies based on orthogonal arrays are performed for conventional products and SEPs. In order to observe the response of each experiment, detailed discrete event simulation (DES) models for both types of products are developed considering the precedence relationships among the components of a WM. Then, pair-wise t-tests are conducted to compare the two cases based on different performance measures. According to the results, SEPs provide significant reductions in all costs (viz., backorder, holding, disassembly, disposal, testing and transportation) while increasing revenue and profit.     

医院虚拟化服务器部署

随着医院信息化的发展,需要有一种更有效率的方式来调配管理服务器资源。虚拟化能使服务器的资源被更有效地利用起来。通过虚拟化的技术,能将不适宜放在同一台服务器中的应用整合于一台物理服务器中。通过虚拟化软件的调配,能将一台服务器的资源利用率最大化。虚拟化服务器还能解决由于硬件、环境不足造成的资源紧张,提高医院信息系统管理的效率。     

论数字图书馆系统中WEB服务器性能优化的方法

由于在数字图书馆系统中流通着的大多是数字化的索引、文摘、全文、图像或音频视频等多媒体信息,对Web服务器性能有着较高的要求.结合实际工程的经验,从硬件实现手段(缓存服务器、均衡负载设备、Web双机镜像等)和软件实现手段(多层软件结构设计、应用部署等)等两个大方面论述如何提高Web服务器性能,以便使用户能够更快捷、高效、安全地使用数字图书馆应用系统.     

浅谈高校教学软件用服务器的复用技术

根据国家相关部门的要求,财经类高校实践教学所占的比例逐步增加,财经类高校特有的实践教学模式,决定了实践教学多采用软件模拟的方式进行。采用软件模拟的方式,要求有大量的服务器用于支撑教学软件的运行。受到资金投入和机房场地等因素的制约,教学软件用服务器的数量总是不能满足需求,从而影响实践教学的开展。结合财经类高校实践教学软件特有的使用规律,提出使用服务器复用技术,解决因服务器数量上不足影响实践教学顺利进行的问题,从而更好的服务实践教学。     

基于FDI算法在软件测试实践中的应用

软件测试对于软件系统的性能以及功能都有很重要的意义,是保证软件可靠运行的关键.在软件测试的实践应用中,对于软件故障定位时,提出了基于谓词统计故障定位的算法,也就是FDI频率差异积分算法.在软件测试实践中采用基于FDI频率差异积分算法,可以很好地监控软件程序,测试软件的覆盖率以及执行时间等内存占用情况,并找到软件的故障瓶颈,以便采取更好的方法改进软件性能.探讨了实践中基于FDI频率差异积分算法在软件测试内的应用.     

基于灰色关联分析法的软件缺陷类型预测

灰色关联分析法是一种描述元素之间影响程度的分析法,适合于小项目数据集。小项目数据集制约着传统的软件缺陷类型的预测方法,使得预测的结果往往不够准确和可靠。因此在灰色关联分析法的基础上提出了特征子集选择、异常工程检测以及软件缺陷类型预测3种方法。通过实验的分析对比,验证了在灰色关联分析法的基础上,提出的软件缺陷类型预测方法的准确性和可靠性。     

气象水文到报监测的实时性设计

到报监测是气象水文数据传输、处理等的重要环节,其实时性是关键设计目标.通过分析文件目录扫描方法和消息通知机制的应用特点,结合气象水文资料传输、处理规程及应用模式,重点阐述了结合实时性和可靠性要求的到报监测方法,并给出一种重构性强、应用灵活的到报监测模块的设计方案.     

Quantum hydrodynamic simulation of discrete-dopant fluctuated physical quantities in nanoscale FinFET

Impact of the discrete dopants on device performance is crucial in determining the behavior of nanoscale semiconductor devices. Atomistic quantum mechanical device simulation for studying the effect of discrete dopants on device's physical quantities is urgent. This work explores the physics of discrete-dopant-induced characteristic fluctuations in 16-nm fin-typed field effect transistor (FinFET) devices. Discrete dopants are statistically positioned in the three-dimensional channel region to examine associated carrier's characteristic, concurrently capturing “dopant concentration variation” and “dopant position fluctuation”. An experimentally validated quantum hydrodynamic device simulation was conducted to investigate the potential profile and threshold voltage fluctuations of the 16-nm FinFET. Results of this study provide further insight into the problem of fluctuation and the mechanism of immunity against fluctuation in 16-nm devices.     

开发可统计任意密码子用法的软件BestCodon

密码子偏好是自然现象,分析密码子的用法可以优化表达基因,即密码子优化,从而调节目的基因在特定宿主中的表达水平。现有密码子用法分析软件多数只限于单个密码子,适用于密码子对和密码子三联体的较少见。本文提出1种可统计任意密码子用法的软件结构,开发出1个密码子用法统计软件BestCodon,拥有序列检查和密码子用法统计2个模块。检查模块可代替人工校对,剔除输入序列中非规范字符,为后续分析提供正确的、符合规范的数据。统计模块根据用户指定的密码子组合类型,结果返回特定的密码子用法表。本文还探讨序列检查和密码子用法统计中计算机的运算特性,结果表明该软件检查1条长达150000 bp的序列仅耗时约0.2 s,而从中统计密码子十联体的用法仅耗时约0.1 s。     

计算机虚拟现实技术的教学应用与软件的开发研究

提出了利用虚拟现实技术开发的"模拟法庭教学软件",建设<模拟法庭>虚拟实验室,以解决"模拟法庭"数量不足的问题,使每一个学生都参与到实践教学中去,教学效果良好.