为了推理移动用户在智能空间的活动，提出了基于隐马尔科夫模型的上下文感知活动计算。首先按照上下文的定义，采用元组方法表示移动用户和智能空间，然后根据活动理论基本构成元素和面向客体活动原理来描述用户活动和智能空间的状态变化，最后引用隐马尔科夫模型建立起用户活动与智能空间状态变化之间的联系，从而实现活动计算。该模型可以完整地描述活动分解为动作的过程，还可以根据每种活动的动作链标记用户活动数据，却不需要用户直接参与数据的标记。将该模型的动作状态数与上下文感知经验采样工具（ESM）的动作状态数进行比较，结果表明该模型的平均活动识别准确度比ESM高25%。

According to the characteristics of the operational behavior and runtime state of application sever, the resource consumption time series are observed and modeled by fuzzy wavelet network (FWN) with fuzzy logic inference and learning capability. The objective is to model the extracted data series of systematic performance parameters to predict software aging in application server. The dimensionality of input variables of FWN is reduced by principal components analysis (PCA), and the structure and parameters of FWN are optimized with adaptive genetic algorithm (GA). Judging by the model, we can get the aging threshold before application server failed and preventively maintenance the application server before systematic parameter value reaches the threshold. The experiments are carried out to validate the efficiency of the proposed model and show that the aging prediction model based on FWN with adaptive genetic algorithm is superior to the neural network (NN) model and wavelet network (WN) model in the aspects of convergence rate and prediction precision.

gy,the computer application under distributed environment has become a trend of development. However,the even higrher requirement of the data consistency and integrality under the distributed environment makes the traditional transaction process technology incompetent. To meet the new challenge，the Object Transaction Service model for distributed application environment was proposed,it combines both the traditional transaction process technology and the distributed object technology. The Object Transaction Management System (OTMS) we implemented was based on the OTS Mol，which providesfull capability of transaction service and management. Both the theory and the concrete implement technology of Object Transaction Management System are presented in this PapeF.

基于软件老化现象机理的分类研究，针对资源消耗尽而导致的系统性能衰减和处理容量的下降原因，考虑应用服务器组件和平台之间的老化依赖关系特征，本文提出了软件老化累积损伤的应用服务器再生模型，采取等间隔时间的部分再生和基于资源阈值的两种软件再生的执行策略。获得了应用服务器的维护费和可靠性用函数，同时分析了最优再生时间的边界条件。仿真试验给出了不同内存资源阈值下的，应用服务器的最优再生时间间隔以及变化趋势。

Software aging is an important factor that affects the software reliability. According to the characteristic of performance parameters of application sever middleware, a new model for software aging prediction based on wavelet networks is proposed. The structure and parameters of wavelet network are optimized with genetic algorithm and simulated annealing algorithm. The objective is to observe and model the existing resource usage time series of application server middleware to predict accurately future unknown resource usage value. Judging by the model, we can get the aging threshold before application server fails and rejuvenate the application server before systematic parameter value reaches the threshold. The experiments are carried out to validate the efficiency of the proposed model, and show that the aging prediction model based on wavelet network with hybrid genetic algorithm is superior to the BP neural network model and wavelet network model in the aspects of convergence rate and prediction precision.