一种西服工序质量预测的上下文感知建模与推理方法

为提高西服质量的稳定性,提出一种西服工序质量预测的上下文感知建模与推理方法.针对以手工制作为主的西服生产加工的特点,分析影响操作人员作业的因素,综合显性和隐性的制约因子,构建上下文感知模型;通过归纳分类和有效整合西服加工质量标准,建立用于工序质量预测的本体知识库.在此基础上,应用粗糙集理论,通过事例推理和演绎推理,实现基于上下文感知的两级推理的工序质量预测方法.应用示例验证了该方法的可行性.     

普适计算中间件的自适应机制研究

针对目前自适应中间件平台未考虑服务质量的问题,提出了一种适合普适计算中间件的自适应机制.在自适应机制中加入QoS属性特征,引入服务合约的概念,并将遗传算法应用于优化问题,较好地实现了自适应效果.     

上下文信息研究综述

上下文信息是指用户在检索过程中产生的一切与检索活动相关的信息的总和,该类信息具有高可靠性、针对性、完整性等特征,有利于信息检索模型准确理解用户兴趣偏好。文中阐述了上下文信息的产生、特征,以及捕获方式,并针对不同的运用对上下文信息进行分类。     

基于XML的异构数据库中间件研究

设计了基于XML的异构数据库中间件系统,利用XML,CORBA,Java技术,以XML为公共数据模型,为用户提供一个统一的查询接口,查询结果以XML模式输出.该中间件系统可实现Web层的业务处理系统通信、基于CORBA的分布式对象请求调用和对异构数据库访问等功能.     

网络办公自动化系统构架设计综述

介绍了当今计算机网络办公自动化系统的分布式模型,论述了系统中提供支持的通信协议、数据库系统、多层次结构和中间件技术以及具体实现方法。     

基于UTAUT模型的可穿戴设备用户接受度研究——以智能珠宝为例

概括了可穿戴设备研究现状,梳理了用户接受度模型构建的相关问题。以可穿戴设备分支——智能珠宝为例,对用户接受和用户使用意愿、使用行为等进行探索,指出用户接受度将是今后智能珠宝市场消费者研究的一个重要的方向。基于UTAUT模型建立智能珠宝用户接受模型时,除包含绩效期望、努力期望、社群影响等原有三个核心维度外,针对智能珠宝的产品属性,增加价格感知、时尚感知两个维度,将性别和使用经验作为调节变量。研究结果显示,模型中绩效期望、努力期望、社群影响和价格感知等对接受度存在明显的促进作用;时尚感知在用户接受中未能产生正向影响;使用经验起到负向调节作用;性别因素的调节作用不显著。     

分布式计算机体系结构及中间件技术探讨

对分布式计算机的两层、三层和四层体系结构和特点进行了分析，对基于分布式体系结构的中间件技术，特别是事物处理中间件的特性、体系结构和应用进行了探讨．指出：中间件属于可重用构件，目前趋向于用构件技术来实现，建立模型和规范是促其发展的核心，与中间件发展相辅相成的分布式多层体系的开发也要考虑诸如开发环境、应用程序的集成与配置等技术问题。     

可穿戴计算音频信息压缩的上下文相关通知模型

针对传统的可穿戴计算音频信息压缩采用插入的通知方法所产生的通知线索缺乏差异性问题,设计了基于上下文相关的动态适应通知模型:根据外围设备的周围暗示、动态压缩、使用频率、通知级别等级、使用水平和环境变量来动态地选择合适的通知策略,从而使用户能用语音识别和语音合成对通知信息进行差异性处理.实例验证了此模型的有效性,该模型可在优化音频技术和通知模型的系统中推广使用.     

规范信念、感知风险与农户转基因水稻种植意愿

从认知心理学的角度,在现有TAM模型基础上,提出了农户技术选择意愿模型,将规范信念、感知风险等要素纳入模型的概念框架,利用SEM的测量模型与结构模型研究方法,基于湖北地区农户调研,对所提出的模型与假设进行了实证检验与分析。结果表明:不同的农户特征对转基因水稻的易用性与有用性的感知有显著差异;农户对转基因水稻的感知易用性对感知有用性存在显著的正向影响;农户关于转基因水稻的感知易用性、主观规范信念对感知有用性存在显著的正向影响;农户关于转基因水稻的感知有用性对其种植意愿存在显著的正向影响;不同类型的风险感知对农户转基因水稻种植意愿的影响也存在较大差异。最后,提出了转基因水稻推广的政策建议。     

基于中间件技术的图书管理系统的设计

针对目前图书管理系统维护性和延展性差的问题,将应用服务器加入到系统的分布式结构中,给出了应用服务器、远程数据模块和本地数据模块的设计.运行结果表明,基于中间件技术的图书管理系统降低了系统的开发和维护成本,提高了系统的延展性.     

大型造纸企业基于中间件的三层分布式信息系统

在对两层与三层开发模式进行比较分析的基础上，针对大型造纸企业业务逻辑复杂、管理分散的特点，给出了基于中间件的三层分布式系统分析与设计方法。并从对造纸企业的物流、资金流等动态模型分析入手，在服务器端配置了的应用逻辑服务组件模块，同时对系统模块配置、数据查询等进行了优化，最后给出了系统实现实例和性能评价。     

基于J2EE的高校教学设备仪器管理系统

基于J2EE的B／S三层结构，设计了高校教学仪器设备管理系统．从系统开发环境、功能模块划分、关键技术、数据库设计等方面介绍了该系统的设计思想与实现技术．系统由设备采购管理、设备跟踪管理和数据管理组成，实现了从设备采购开始到设备报废整个生命周期的管理，满足了高校教学设备仪器管理的大部分需求．该系统具有良好的用户界面、维护简单、运行投资少等特点．     

基于Web的高校学生选课系统的新设计

设计了基于Web的高校学生选课系统.该系统采用B/S三层结构、中间件技术以及大型关系型数据库管理系统,基本实现了高校学生选课的自主化.系统采用多级权限设置、使用触发器等措施来保证数据的安全性和一致性,具有一定的实用价值.     

基于XML中间件的服装供应链快速响应系统

针对服装供应链市场需求变化快的特点,提出了基于中间件的快速响应系统,用XML格式统一供应链各环节数据,用XML文档连接机制进行异构数据集成,得到基于XML系统的流程设计和订货提前期的计算模型。通过分析快速响应系统应用前后服装和面料订货提前期的变化得出：快速响应系统通过共享信息,消除了订货提前期中的订单处理延迟,减少了因上游企业订单处理延迟引起的生产延迟和面料的接收延迟,提高了服装供应链的响应速度。     

Asymmetric dominance as a potential source of bias in hedonic testing

A large and growing body of evidence from marketing and behavioral economics suggests consumer preferences are not fixed but instead depend on the choice set. Although the idea that context alters perception is not new to psychophysicists or sensory scientists, we suggest that asymmetric dominance may represent a novel and potentially important source of bias in hedonic product testing and food choice research. In a series of six experiments using model systems, commercially available beverages and solid foods, we explored the possibility that asymmetric dominance effects may influence the results of food preference testing. Within a model system (experiments 1-3), we failed to observe evidence of a bias arising from asymmetric dominance. In contrast, when perceptually complex beverages and foods were used (experiments 4-6), we found relative preference was altered by the introduction of an additional product into the choice set. Critically, we found this bias was able to induce a significant preference (experiments 4-5) or make a significant preference disappear (experiment 6). Implications of this potential source of bias are discussed in a context relevant to sensory scientists and product developers.     

Phase behaviour of some aqueous systems involving monoglycerides,cholesterol and bile acids

A report is given on the phase behaviour of various monoglyceride-water systems relevant in foods. Interactions with cholesterol and bile acid salts as well as small water-soluble molecules as a third component are described. The cubic phase occurring in systems of monoglycerides of sunflower oil can solubilise bile salts and coexist with bile acid salt micelles, which might result in a reduction in fat absorption in the intestine. Also the observed solubilisation of cholesterol in the cubic phase should be expected to reduce cholesterol uptake when this phase is formed. Evidence is given indicating that monocaproin might be of technical interest in order to solubilise hydrophobic proteins and the interactions between aqueous monocaproin phases and soy-bean oil and sodium chloride were examined in this context.     

Characterization of phospholipid reverse micelles in nonaqueous systems in relation to their rejection during membrane processing

The phospholipid (PL) rejection mechanism during membrane degumming was evaluated based on its critical micelle concentration (CMC) levels in undiluted and hexane-diluted vegetable oils. In this context, the influence of PL composition and solvent medium on the CMC levels has been investigated. In real and model systems, higher phosphatidylcholine to PL ratio lowered the CMC value and vice versa. The CMC of PL was lower in hexane-diluted systems when compared to undiluted oil systems owing to the greater hydrophobic-repulsive forces between hexane and amphiphilic PL. The PL rejection by UF membrane was near complete when the PL content of system was above CMC. Among the systems with lower PL contents (< CMC), rejection was greater in hexane-diluted systems (82-99% in lecithin-hexane system) than in undiluted oil systems (~ 40% in sunflower oil) owing to greater concentration polarization effect responsible for reverse micelle formation at the membrane surface leading to their subsequent rejection. UF membranes are generally preferred owing to higher productivity and the results suggest that their rejection performance could be kept high by careful manipulation of initial PL content. Nonporous membranes were effective in degumming vegetable oils irrespective of initial PL content and the type of system.     

The truth about compliance.

When confronted with an adverse response to contact lens wear, practitioners are often quick to 'blame the victim'. Although patient compliance may well be lacking, the reasons for this need to be considered carefully, along with all of the other possible contributing factors, if the safety of contact lens wear is to be improved. This Presidential Address briefly reviews what the contact lens literature has revealed about patient compliance in the context of what has been known for many years in general eye care and, indeed, general medicine. Essentially, compliance with contact lens systems is poor (40-90% of patients are noncompliant) and difficult to predict in individual patients. Neither a compliance-enhancement strategy (intense education) nor reduction of the cost of goods has any significant effect upon the level of compliance. Assessment of personality is not a reliable compliance predictor. A compliance enhancement model is proposed which encompasses the following four components: (a) the clinic and the practitioner, (b) the patient, (c) the advice that is given, and (d) the contact lens industry.     

On the design of optimal dynamic experiments for parameter estimation of a Ratkowsky-type growth kinetics at suboptimal temperatures

It is generally known that accurate model building, i.e., proper model structure selection and reliable parameter estimation, constitutes an essential matter in the field of predictive microbiology, in particular, when integrating these predictive models in food safety systems. In this context, Versyck et al. (1999) have introduced the methodology of optimal experimental design techniques for parameter estimation within the field. Optimal experimental design focuses on the development of optimal input profiles such that the resulting rich (i.e., highly informative) experimental data enable unique model parameter estimation. As a case study, Versyck et al. (1999) [Versyck, K., Bernaerts, K., Geeraerd, A.H., Van Impe, J.F., 1999. Introducing optimal experimental design in predictive modeling: a motivating example. Int. J. Food Microbiol., 51(1), 39-51] have elaborated the estimation of Bigelow inactivation kinetics parameters (in a numerical way). Opposed to the classic (static) experimental approach in predictive modelling, an optimal dynamic experimental setup is presented. In this paper, the methodology of optimal experimental design or parameter estimation is applied to obtain uncorrelated estimates of the square root model parameters [Ratkowsky, D.A., Olley, J., McMeekin, T.A., Ball, A., 1982. Relationship between temperature and growth rate of bacterial cultures. J. Bacteriol. 149, 1-5] describing the effect of suboptimal growth temperatures on the maximum specific growth rate of microorganisms. These estimates are the direct result of fitting a primary growth model to cell density measurements as a function of time. Apart from the design of an optimal time-varying temperature profile based on a sensitivity study of the model output, an important contribution of this publication is a first experimental validation of this innovative dynamic experimental approach for uncorrelated parameter identification. An optimal step temperature profile, within the range of model validity and practical feasibility, is developed for Escherichia coli K12 and successfully applied in practice. The presented experimental validation result illustrates the large potential of the dynamic experimental approach in the context of uncorrelated parameter estimation. Based on the experimental validation result, additional remarks are formulated related to future research in the field of optimal experimental design.