Revisiting the two-stage choice model: an empirical study of consumer choice on brand website visits

In consumer choice behaviour literature, a two-stage choice model serves as a base theory where choice behaviour is decomposed into a consideration stage plus a choice stage. Yet, this default model has been increasingly challenged by the ‘limited consumer search’ school of thought because consumers do not necessarily review all products in a choice set before making decisions, but frequently draw on external information as mental short cuts. Methodologically, the choice behaviour in stage 1 has traditionally been latent because data that directly observe how consumers form their consideration sets by eliminating alternatives are lacking. This study continues the ‘limited consumer search’ line of reasoning and proposes an aided non-compensatory process in choice stage 1, where consumers reduce brand website alternatives by using online ratings to arrive at a consideration set. We use observed Web analytics data to unveil the stage 1 choice process and also the transition from stage 1 to stage 2, which is in need of further research based on extant literature. Lastly, we cross-validate our model with two types of websites (i.e. search vs. experience/credence) and find our model is contingent on the type of website content, where consumers’ inclination to use online ratings for decision-making varies.     

I3WSN: Industrial Intelligent Wireless Sensor Networks for indoor environments

Sensor Web Enablement (SWE) technologies have been successfully applied to a great variety of outdoor scenarios but, in practical terms, little effort has been applied for indoor environments, and even less in the field of industrial applications. This article presents an intelligent SWE application for an indoor and industrial scenario, with the aim of improving and increasing the levels of human safety. The base low-level architecture is built on top of wireless sensor networks (WSN) connected to a Sensor Observation Service (SOS). Higher layers in the architecture include services that make real time decisions based on the collected data. Both simulation and experimental results are presented. The paper shows the viability of our approach in terms of performance, scalability, modularity and safety.     

Sustainability in Web server systems

The exponential growth of Internet during the last decade leads us to make more efforts in the researching and developing of sustainable Web servers in order to decrease the global energy demand. In this paper, we cover, as a first step, a proper review of the literature related to the energy efficiency research in Web server systems to depict the state of the art to plan further contributions as more research in sustainable Web systems. We also propose and implement an energy metric that permits to establish a relation between the Quality of Service (QoS) obtained by the system and the power it consumes.     

Parallel Implementation of the BiCGStab（2） Method in GPU Using CUDA and Matlab for Solution of Linear Systems

This paper presents a parallel implementation of the hybrid BiCGStab（2） （bi-conjugate gradient stabilized） iterative method in a GPU （graphics processing unit） for solution of large and sparse linear systems. This implementation uses the CUDA-Matlab integration, in which the method operations are performed in a GPU core using Matlab built-in functions. The goal is to show that the exploitation of parallelism by using this new technology can provide a significant computational performance. For the validation of the work, we compared the proposed implementation with a BiCGStab（2） sequential and parallelized implementation in the C and CUDA-C languages. The results showed that the proposed implementation is more efficient and can be viable for simulations being carried out with quality and in a timely manner. The gains in computational efficiency were 76x and 6x compared to the implementation in C and CUDA-C, respectively.     

基于ASP.NET MVC框架的Web设计

随着我国社会水平的提升,经济步伐的推进,我国的互联网技术也在这个过程中得到了较大程度的发展。同时,随着互联网技术的快速增长,其对于我国传统的很多行业也产生了深远的影响,使得很多较为传统的信息以及数据等等都被移植到了互联网上。而随着我国互联网应用程度的增加、使得对于web的开发技术也早已成为认了关注的重点。在本文中,将就基于ASP.NET MVC框架的web设计进行一定的分析与探讨。     

C#利用Web Service编程接口实现动态天气预报

许多政府或企业网站除展示与本单位密切相关的信息外,往往也集成一些小的功能性的、与用户日常生活密切相关的,类似于提供火车时刻表、天气预报等辅助信息,采用C#利用Web Service提供的编程接口实现了实时天气预报功能,并能根据访问者所在地自动提供其相关的天气信息。     

投入产出分析系统设计与实现

利用Matlab的强大的数据处理能力,结合MS SQL Server数据库的存储优势,建立了针对投入产出表进行数据分析、统计处理、关联挖掘和二维展示的软件平台;同时,该平台可以为未来升级,为区域经济的产业结构布局与优化、产业竞争分析、经济发展预测、政策效果模拟等方面的综合性分析平台奠定良好的基础。     

Web服务的构建及其典型应用

Web服务基于标准的数据格式和协议,如XML、SOAP和HTTP,不同平台和操作系统的客户和服务端可以基于同样的协议,没有障碍地通信,Web服务客户端只需标识Web服务的位置及其可以调用的方法,就可以简单地使用Web服务。微软公司的.NET框架针对Web服务提供了广泛的支持。因此研究了.NET环境下Web Services的构建、处理流程,举例说明了Web服务的典型应用。     

Matlab/Simulink在电路分析中的应用

为使学生能深刻理解电路分析方法,调动学生学习的积极性,提高教学质量,将Matlab/Simulink这个工具应用于电路分析的教学过程中。具体以直流稳态电路分析、线性动态电路的时域分析、线性动态电路复频域分析为例,通过建模、Matlab编程、Simulink仿真对电路进行分析。阐述了Matlab/Simulink工具的应用特点:利用Matlab矩阵运算能力,可以解电路方程;利用图形函数,可以得到简明、生动的图形;Matlab中的Simulink工具箱可以仿真得到结果。Matlab/Simulink若在电路分析教学中合适运用,有利于提高电路分析的教学质量。     

基于STeC的高速列车运行模型与算法

为了使高速列车正点运行到达目的车站,提出了基于STeC(时空一致性)语言的高速列车运行模型与算法。该模型具有位置触发自动调整高速列车运行的特点,实现动态确定高速列车制动点并保证列车正点到达目的车站,从而满足了高速列车运行实时系统对时间和空间的一致性要求。通过Matlab/Simulink的仿真测试,证明了该模型的正确性和有效性。