浅析项目教学法在中职物流管理教学中的应用

在中职物流管理教学中应用项目教学法.选取项目是关键,在选择项目时,要体现典型性.项目教学法在物流管理教学中实施过程包括项目的准备、查找分析资讯、学生分组、实施、检查及评价.此外,为了发挥项目教学法在中职物流管理教学中的效果,需要考虑领导的重视与支持、师资队伍及课程体系的开发.     

基于云计算技术的数字生态城市平台设计

针对国内外数字城市建设计中存在的一些不足,本文提出了数字生态城市云平台的解决方案。该平台是数字生态城市DigitalCity和云计算服务平台的融合,解决同时操作多源、海量和异构的城市基础数据,实现分布式信息资源的共享与交换,提供分布式的按需服务等功能。DCPaaS数字生态平台针对数字生态城市的大环境,实现了业务自动部署和托管运行、专业化集中式维护等功能,为创建良好的数字生态城市服务创新环境提供了必需的技术支撑。     

基于产品评论挖掘的竞争产品优势分析

如今网络已经成为信息交换的工具,网络中出现了大量的用户评论信息,利用产品评论挖掘技术获取竞争产品的情报数据,对于企业和用户都具有重要意义。利用已有的研究成果,将产品评论挖掘应用于竞争产品的优势分析之中。并以手机为例,以iPhone4和N8作为研究对象,经过数据采集、预处理、建立产品特征集合和评论观点集合、评论观点的极性与强度判断等工作,量化用户观点,以4种图表形式显示结果,并根据图表分析竞争产品的优势及需要改进的方向。     

An empirical investigation of factors influencing the adoption of data mining tools

Previous studies explored the adoption of various information technologies. However, there is little empirical research on factors influencing the adoption of data mining tools (DMTs), particularly at an individual level. This study investigates how users perceive and adopt DMTs to broaden practical knowledge for the business intelligence community. First, this study develops a theoretical model based on the Technology Acceptance Model 3, and then examines its perceived usefulness, perceived ease of use, and its ability to explain users’ intentions to use DMTs. The model's determinants include 4 categories: the task-oriented dimension (job relevance, output quality, result demonstrability, response time, and format), control beliefs (computer self-efficacy and perceptions of external control), emotion (computer anxiety), and intrinsic motivation (computer playfulness). This study also surveys the moderating effect of experience and output quality on the determinants of DMT adoption and use. An empirical study involving 206 DMT users was conducted to evaluate the model using structural equation modeling. Results demonstrate that the proposed model explains 58% of the variance. The findings of this study have interesting implications with respect to DMT adoption, both for researchers and practitioners.     

Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing

Social tagging systems enable users to assign arbitrary tags to various digital resources. However, they face vague-meaning problems when users retrieve or present resources with the keyword-based tags. In order to solve these problems, this study takes advantage of Semantic Web technology and the topological characteristics of knowledge maps to develop a system that comprises a semantic tagging mechanism and triple-pattern and visual searching mechanisms. A field experiment was conducted to evaluate the effectiveness and user acceptance of these mechanisms in a knowledge sharing context. The results show that the semantic social tagging system is more effective than a keyword-based system. The visualized knowledge map helps users capture an overview of the knowledge domain, reduce cognitive effort for the search, and obtain more enjoyment. Traditional keyword tagging with a keyword search still has the advantage of ease of use and the users had higher intention to use it. This study also proposes directions for future development of semantic social tagging systems.     

消费物价上涨并未降低城镇居民福利

摘要：本文利用我国近二三十年来的人均可支配收入、人均消费支出以及消费物价指数,通过协整分析和建立误差修正模型,模拟了我国城镇居民的效用函数;在考虑消费物价快速上涨和人均可支配收入的不断提高的背景下,采用等价性变化、补偿性变化以及消费者剩余变化,衡量了城镇居民的福利水平变动。本文不仅将城镇居民的福利水平定量化,而且还得出了一些重要结论：虽然单纯的物价上涨减少了城镇居民福利,单纯的可支配收入上升增加了城镇居民福利,但2007年在2006年基础上的消费物价上涨和可支配收入增加并未降低城镇居民福利。     

Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control

This article presents a multi-lagged-input based data-driven adaptive iterative learning control (M-DDAILC) method for nonlinear multiple-input-multiple-output (MIMO) systems by virtue of multi-lagged-input iterative dynamic linearization (IDL). The original nonlinear and non-affine MIMO system is equivalently transformed into a linear input-output incremental counterpart without loss of dynamics. The proposed learning law utilizes the desired trajectory to cancel the influence from iteration-by-iteration variations, as well as additional multi-lagged inputs to improve control performance. The developed iterative estimation law is more effective and also makes estimation of the unknown parameters easier because the dynamics for each parameter to represent are decreased by dividing the system into multiple components in the multi-lagged-input IDL formulation. Moreover, the proposed M-DDAILC does not need an explicit and accurate model. It is proved to be iteratively convergent with rigorous analysis. Both a numerical example and a practical application to a permanent magnet linear motor are provided to verify the validity and applicability of the proposed method.     

Wet-chemical synthesis of two-dimensional metal nanomaterials for electrocatalysis

Two-dimensional (2D) metal nanomaterials have gained ever-growing research interest owing to their fascinating physicochemical properties and promising application, especially in the field of electrocatalysis. In this review, we briefly introduce the recent advances in wet-chemical synthesis of 2D metal nanomaterials. Subsequently, the catalytic performances of 2D metal nanomaterials in a variety of electrochemical reactions are illustrated. Finally, we summarize current challenges and highlight our perspectives on preparing high-performance 2D metal electrocatalysts.     

浅析独立学院毕业生就业问题及对策

随着高校毕业生人数的增加,就业市场供大于求,高校毕业生就业日益困难。独立学院由于其自身特有的一些特点,相对于公办院校,面临着更加严峻的就业形势。如何做好毕业生出路指导已成为了独立学院的一大挑战。本文基于福建某独立学院2010届毕业生的就业情况分析独立学院毕业生就业的现状及存在的问题,进而挖掘独立学院毕业生的就业优势,最后提出解决独立学院就业难的若干对策。     

跨组织研发项目多主体合作有限理性下的治理机制

探讨跨组织项目相关多主体合作问题,基于有限理性视角,从管理运作、关系协调等协同治理机制来分析影响协同治理效果的因素,建立跨组织研发项目多主体合作协同治理框架.理论研究和数值仿真结果表明:跨组织研发项目相关多主体合作之前所具备的基础收益对项目生成期没有影响,外部诱惑变大、企业信誉下降会降低整个寿命周期项目合作联盟系统的稳定性,将合作收益分配比例控制在一定范围内才能达到促进多主体合作的效果;项目多主体需控制合作成本和协同成本,防止协同关系破裂.企业信誉贯穿跨组织合作整个项目周期,因此合作多主体维持信誉显得尤为重要.