基于语义信息的存储能效的研究

随着数字化信息爆炸性的增长,存储技术成为IT业发展的新动力。存储系统规模的不断扩大,使能效问题越来越突出,主要表现为增加了系统运行维护和冷却的成本、降低了系统的可靠性和扩展性、加剧了存储系统周围环境的污染,因此研究存储能效问题具有较大的经济价值和实用意义。阐述了存储系统中磁盘能效的研究进展和现状,并从语义信息出发,设计与实现了基于语义信息的驱动程序。实验表明该驱动程序有效地降低了磁盘能耗,提高了存储系统I/O性能,优化了存储能效。     

基于翻译规则的统计机器翻译

扩展HMM模型可以解决词语对齐结果与句法约束冲突,从而更好地进行词语对齐。在短语对齐基础上利 用目标语言的短语结构树抽取翻译规则。采用扩展CYK算法CYKA+作为系统的解码器,该算法可以处理非乔姆 斯基范式的翻译规则;采用两轮解码算法在解码过程中整合语言模型。实验表明,与传统词语对齐模型相比,改进的 HMM词语对齐模型具有更高的对齐准确率,并且翻译结果的BLEU评测得分更高。采用翻译规则的系统在不同数 据集上具有更稳定的翻译结果。两轮解码算法与立方剪枝算法具有相近的解码质量,但前者解码速度更快。     

多变量分支混沌签名体制

针对量子计算机对现有密码算法的威胁,结合多变量公钥体制和混沌系统,提出一种能抵抗量子算法的分支密码体制。体制的中心映射有两个分支,分支一使用传统多变量公钥密码体制,分支二使用混沌密码体制,将两分支的输出结果相加,最后通过仿射变换将中心映射进行隐藏。利用分支结构提高计算效率,利用混沌系统克服传统多变量公钥密码体制的缺点以增强安全性,适用于各类设备进行签名运算。     

IT项目进度计划风险量化预测方法

针对IT项目进度基线定义质量普遍偏低的问题,提出了一种资源约束条件下基于蒙特卡洛模拟的进度风险量化评估方法．首先,考虑资源对进度的限制问题,提出资源约束条件下的活动历时抽样方法;其次,提出在活动历时随机变化情况下,项目关键路径动态识别方法,研究项目工期概率分布问题．最后,通过实例表明,资源约束条件下的蒙特卡洛模拟方法,能够有效地评估IT项目中的进度风险,辅助项目决策．     

Behavioral Analysis of E-commerce Acceptance in Micro-enterprises简

E-commerce present opportunities and challenges for businesses, especially for micro-enterprises. This paper proposed a theoretical framework that in line with the unique characteristics of E-commerce acceptance in micro-enterprises in Chengdu, which is based on the unified theory of acceptance and use of technology （UTAUT） model. The extending UTAUT model includes key constructs of performance expectation, perceived behavioral control and the characteristics of owner-managers.     

Finite Element Analysis of 6300 Deep Groove Ball Bearing

Rolling bearing is widely used in mechanical support, its general components are the inner ring, outer ring, the ball, retainer etc.. Now many companies in developed countries and university in the rolling bearing as the research object, and has made great progress in design theory, the experiment method and production technology etc. We will use the finite element ANSYS to establish the model of deep groove ball bearing. Through the contact analysis, we can get the contact stress between the rings and balls, strain, contact state, penetration, sliding distance and the friction stress distribution. These values are compared to the theoretical values with Hertz theory, and they have better consistency, provide the good theoretical basis for the optimization design of rolling bearings.     

基于非均匀系数的水库移民收入恢复评价

水利水电工程征地移民搬迁后的生产生活恢复,不仅是实现移民规划目标的重点内容,也是保持安置区社会稳定的重要因素。水库移民搬迁后的收入恢复水平是评价移民工程搬迁安置效果的一个重要指标。移民收入的评价,除收入水平之外,还涉及到贫富差距等共同富裕问题。针对南水北调中线丹江口库区试点移民的收入恢复,在抽样与跟踪调查获取数据的基础上,分析了移民收入的整体恢复水平,并利用非均匀系数对收入的差距进行了研究。     

Calculation of passive earth pressure of cohesive soil based on Culmann's method

Based on the sliding plane hypothesis of Coulumb earth pressure theory, a new method for calculation of the passive earth pressure of cohesive soil was constructed with Culmann's graphical construction. The influences of the cohesive force, adhesive force, and the fill surface form were considered in this method. In order to obtain the passive earth pressure and sliding plane angle, a program based on the sliding surface assumption was developed with the VB.NET programming language. The calculated results from this method were basically the same as those from the Rankine theory and Coulumb theory formulas. This method is conceptually clear, and the corresponding formulas given in this paper are simple and convenient for application when the fill surface form is complex.     

Lossless convexification of a class of optimal control problems with non-convex control constraints

We consider a class of finite time horizon optimal control problems for continuous time linear systems with a convex cost, convex state constraints and non-convex control constraints. We propose a convex relaxation of the non-convex control constraints, and prove that the optimal solution of the relaxed problem is also an optimal solution for the original problem, which is referred to as the lossless convexification of the optimal control problem. The lossless convexification enables the use of interior point methods of convex optimization to obtain globally optimal solutions of the original non-convex optimal control problem. The solution approach is demonstrated on a number of planetary soft landing optimal control problems.     

A Bayesian solution to the multiple composite hypothesis testing for fault diagnosis in dynamic systems

This paper is concerned with model-based isolation and estimation of additive faults in discrete-time linear Gaussian systems. The isolation problem is stated as a multiple composite hypothesis testing on the innovation sequence of the Kalman filter (KF) that considers the system operating under fault-free conditions. Fault estimation is carried out, after isolating a fault mode, by using the Maximum a Posteriori (MAP) criterion. An explicit solution is presented for both fault isolation and estimation when the parameters of the fault modes are assumed to be realizations of specific random variables (RV).