北钞厂自动化立体仓库系统新技术应用

介绍了北京印钞厂自动化立体仓库的基本情况,重点论述了该工程所采用的新方案新技术以及应用情况。     

自动化仓库系统可靠性模糊评价

通过对影响自动化仓库系统各种因素的分析，用模糊综合评价方法对自动化仓库系统的可靠性进行评价。     

自动化立体仓库中堆垛机的设计

论述了自动化立体仓库中有轨巷道式堆垛机的结构和特点，并对有轨巷道式堆垛机的设计要点进行了分析和讨论。     

A Semiparametric Method for Valuing Residential Locations: Application to Automated Valuation

This paper is motivated by automated valuation systems, which would benefit from an ability to estimate spatial variation in location value. It develops theory for the local regression model (LRM), a semiparametric approach to estimating a location value surface. There are two parts to the LRM: (1) an ordinary least square (OLS) model to hold constant for interior square footage, land area, bathrooms, and other structural characteristics; and (2) a non-parametric smoother (local polynomial regression, LPR) which calculates location value as a function of latitude and longitude. Several methods are used to consistently estimate both parts of the model. The LRM was fit to geocoded hedonic sales data for six towns in the suburbs of Boston, MA. The estimates yield substantial, significant and plausible spatial patterns in location values. Using the LRM as an exploratory tool, local peaks and valleys in location value identified by the model are close to points identified by the tax assessor, and they are shown to add to the explanatory power of an OLS model. Out-of-sample MSE shows that the LRM with a first-degree polynomial (local linear smoothing) is somewhat better than polynomials of degree zero or degree two. Future applications might use degree zero (the well-known NW estimator) because this is available in popular commercial software. The optimized LRM reduces MSE from the OLS model by between 5 percent and 11 percent while adding information on statistically significant variations in location value.     

压控晶体振荡器的设计

本文提出了晶体和频率控制元件的模型,介绍了基本电路的设计,并详细讨论了压控晶体振荡器调制器产生最小音频失真的必要条件。     

Shopping intention at AI-powered automated retail stores (AIPARS)

Artificial Intelligence (AI) is transforming the way retail stores operate. AI-Powered Automated Retail Stores are the next revolution in physical retail. Consumers are facing fully automated technology in these retail stores. Therefore, it is necessary to scrutinize the antecedents of consumers' intention to shop at AI-Powered Automated Retail Stores. This study delves into this area to find the predictors of consumers’ intention to shop at AI-Powered Automated Retail Stores. It extends the technology readiness and acceptance model by the addition of AI context-specific constructs such as Perceived Enjoyment, Customization and Interactivity from the present literature. The proposed model is tested by surveying 1250 consumers & the data is analyzed using the PLS-SEM technique and empirically validated. The outcome of the study reveals that Innovativeness and Optimism of consumers affect the perceived ease and perceived usefulness. Insecurity negatively affects the perceived usefulness of AI-powered automated retail stores. Perceived ease of use, perceived usefulness, perceived enjoyment, customization and interactivity are significant predictors of shopping intention of consumers in AI-powered automated stores. This research presents insightful academic and managerial implications in the domain of retailing and technology in retail.     

刀具自动化管理系统的设计与实现

文中根据客户的刀具管理模式的改进,把自动货柜和刀具自动化管理系统相结合使用,主要介绍刀具管理软件的设计,并对设计过程中所遇到的问题进行解决,使客户的刀具管理更加信息化、规范化和明了化。     

Inter-Satisfaction between Website and Automated Call Distribution (ACD) Systems

Websites and an Automated Call Distribution (ACD) system in a call center are both considered important customer relationship technologies. Integrating concepts from information systems quality and trust transference theory, this paper introduces the concept of inter-satisfaction: the extent to which customer satisfaction with a website leads to satisfaction with an ACD and vice versa. It is hypothesized that dissatisfaction with either the website or the ACD influences potential brand-switching behaviors. A model, largely drawing upon concepts of user satisfaction as developed in information system research, is presented. The model is then tested using data from passengers using Low Cost Carriers (LCCs) in South Korea, specifically 366 passengers at the Jeju International Airport, who experienced both their airlines’ website and call center. A structural equation modeling analysis demonstrates that satisfaction with the website transfers to satisfaction with the ACD system, but not vice versa, and that only dissatisfaction with the website creates a brand-switching intention.     

前馈技术在改善功率放大器线性中的应用

推导并分析了存在增益和相位跟踪等误差情况下,功率放大器前馈技术对三阶线性失真的改善情况,并从原理上论述了前馈技术的工作原理.前馈技术一般可将三阶互调降低10～30 dB,在新一代的抗干扰跳/扩频电台中有广泛应用.     

基于激光点云的隧道开挖面岩体结构识别

地质编录是隧道施工过程中重要的一项工作,而传统的人工地质素描难以快速准确地反映隧道的地质状况。介绍一种从隧道三维点云数据自动提取隧道掌子面岩体结构面的方法。首先根据三维激光扫描仪的原理,采用先球面投影两次后平面投影的方法将三维点云投影到平面上,并保持点云间的相对拓扑关系,然后采用Delaunay算法重建隧道三角面片表面模型,最后计算每个三角面片的产状和到扫描中心的距离,采用聚类算法识别和分类隧道开挖岩体的结构面,并用不同颜色显示。通过对干巴沟隧道扫描数据分析,结果表明,采用该方法自动识别隧道结构面具有较好的效果,基本可以识别大部分岩体结构面。研究成果为隧道地质快速编录提供了一种方法。