全过程质量管理下提高本科毕业设计质量的思考

毕业设计全过程包括选题,开题,中期检查与指导,答辩,评审,是学生在校期间的一次时间最长、综合性最强、最接近工程实际和社会实际的实践教学环节。将质量管理贯穿在毕业设计过程的全阶段,重视整个设计过程中各个阶段的全面质量管理监控,才能达到改善本科毕业设计质量的目的。     

浅谈云计算

云计算已经对IT界产生了十分重大的影响,是当前重要的研究领域。该文综述了当前云计算所采用的技术,剖析其背后的技术含义以及当前云计算参与企业所采用的云计算实现方案。通过此文可以了解云计算的当前发展状况以及未来的研究趋势。     

Extended object model for product configuration design

This paper presents an extended object model for case-based reasoning (CBR) in product configuration design. In the extended object model, a few methods of knowledge expression are adopted, such as constraints, rules, objects, etc. On the basis of extended object model, case representation model for CBR is applied to product configuration design system. The product configuration knowledge can be represented by the extended object. The model can support all the processes of CBR in product configuration design, such as case representation, indexing, retrieving, and case revising. The presented model is an extension of the traditional object-oriented model by including the relationship class used to express the relation between the cases, constraints class used in the product configuration knowledge representation, index class used in case retrieving, and solution class used in case revising. Therefore, the product configuration knowledge used in the product configuration design can be represented by using this model. In the end, a metering pump product configuration design system is developed on the basis of the proposed product configuration model to support customized products.     

机制主义方法与人工智能统一理论——人工智能的新方法与新进展

报导人工智能研究的一项重要进展:由于发现了人工智能研究的"机制主义"模拟方法和"知识的生态学结构",使原来"鼎足三分"的3个主流学说(结构模拟、功能模拟和行为模拟学说)在"机制主义方法"的基础上实现了和谐的统一,形成了统一理论,从而为人工智能的发展提供了新的基础。     

应用型本科经管类专业Visual FoxPro程序设计课程教学改革探索

针对目前多数应用型本科院校经济、管理类专业计算机公共基础课Visual FoxPro程序设计教学中存在的问题,本文提出以项目导向、模块驱动的方式来组织教学内容,课堂教学和项目小组协同学习相互促进的教学方式,课内实验和实战演练相结合的训练方法,并给出具体实施办法,实践证明这种教学模式行之有效、教学效果良好。     

可伸缩视频编码的码率控制技术研究

可伸缩视频编码能生成空域、时域、质量可伸缩的视频码流,如何对其进行码率控制来生成最优的可伸缩性码流,对适应不同需求的终端十分重要.结合可伸缩视频编码码率控制的研究现状,描述了最新的研究进展,综述了码流控制的原理、经典算法,分析总结了可伸缩视频编码的关键技术及在可伸缩视频编码中的挑战.通过对增强层中各种码率控制算法的优缺点的分析,总结出增强层的时域可扩展和空域可扩展中码率控制的最优解决方案.最后对可伸缩编码中码率控制技术的发展趋势进行了展望.     

PSO并行优化LSSVR非线性黑箱模型辨识

针对非线性黑箱系统辨识中存在不确定性、高阶次,采用常规辨识方法建立其精确数学模型十分困难等问题,提出一种基于自适应粒子群算法的最小二乘支持向量机回归(PSO-LSSVR)非线性系统辨识方法.该方法采用2组自适应粒子群算法并行计算模型,分别利用自适应粒子群算法对LSSVR中的参数进行自动选取和矩阵迭代求解,既克服了传统LSSVR参数难以确定的缺点,提高了辨识精度,同时避免了复杂矩阵求逆运算,加快了计算速度.将该方法应用于船舶操纵性模型非线性系统辨识,仿真结果表明,由该方法得到的LSSVR能够有效地对系统进行建模,仿真精度高,结构简单,具有一定的理论推广意义.     

Multi-goal Q-learning of cooperative teams

This paper studies a multi-goal Q-learning algorithm of cooperative teams. Member of the cooperative teams is simulated by an agent. In the virtual cooperative team, agents adapt its knowledge according to cooperative principles. The multi-goal Q-learning algorithm is approached to the multiple learning goals. In the virtual team, agents learn what knowledge to adopt and how much to learn (choosing learning radius). The learning radius is interpreted in Section 3.1. Five basic experiments are manipulated proving the validity of the multi-goal Q-learning algorithm. It is found that the learning algorithm causes agents to converge to optimal actions, based on agents’ continually updated cognitive maps of how actions influence learning goals. It is also proved that the learning algorithm is beneficial to the multiple goals. Furthermore, the paper analyzes how sensitive the learning performance is affected by the parameter values of the learning algorithm.     

基于影像引导的计算机辅助肝癌微波消融

为了方便临床医生使用医学影像进行手术的规划和引导,提出了一种新颖的计算机辅助肝癌微波消融手术方法.采用基于GPU加速的三维可视化技术实时重构影像的三维模型,显示出患者器官的解剖关系;采用基于生物传热学的三维热场计算技术,规划手术路径及消融设备的作用时间和功率.经过大量的临床应用以及手术影像对比,表明该方法能够有效计算消融手术的作用效果,并在手术的引导过程中发挥了重要的作用,提高了手术的临床精度和效果.     

基于RPCL的模糊关联规则挖掘

在模糊关联规则的挖掘过程中,很难预先知道每个属性合适的模糊集。针对该问题,提出基于次胜者受罚竞争学习的模糊关联规则挖掘算法,无需先验知识,即可根据每个属性的性质找出对应的模糊集,并确定模糊集的数目。实验结果表明,与同类算法相比,该算法可以挖掘出更多有趣的关联规则。