MAS和本体在智能家居系统中的应用和研究

针对智能家居的开放性、异构性和分布性的特点及MAS（Multi—AgentSystem）技术在人工智能领域的广泛应用,文中利用MAS技术来建立智能家居系统模型,并为了更有效地体现基于MAS智能家居系统的整体性能,即高效率的交互和协作,引入了本体的概念。详细描述了MAS智能家居系统的层次结构和功能,以及基于本体的通信。从智能家居中的任务的执行流程中抽象出家居本体的各种概念模型,并对概念之间的关系进行了分析。最后使用Protege本体建模工具对所设计的本体进行了实现,说明了使用本体的有效之处。     

Java程序设计课程教学方案研究

Java是一种行业工具,所以Java程序设计课程成为电子信息类和IT各专业的必修课程,Java也是IT类各种职业从业的必要条件。研究了Java教学方法,提出了在教学过程中少一点Java语法、结构方面的分析研究教学,多一点Java在网络应用中的案例教学,体现Java作为工具的应用功能的教学思路。     

Digital Twin-driven machining process for thin-walled part manufacturing

Thin-walled parts are widely used in the aerospace, shipbuilding, and automotive industry, but due to its unique structure and high accuracy requirements, which leads to an increase in scrapped parts, high cost in production, and a more extended period in the trial machining process. However, to adapt to fast production cycles and increase the efficiency of thin-walled parts machining, this paper presents a Digital Twin-driven thin-walled part manufacturing framework to allow the machine operator to manage the product changes, make the start-up phases faster and more accurate. The framework has three parts: preparation, machining, and measurement, driven by Digital Twin technologies in detail. By establishing and updating the workpiece Digital Twin under a different status, various manufacturing information and data can be integrated and available to machine operators and other Digital Twins. It can serve as a guideline for establishing the machine tool and workpiece Digital Twin and integrating them into the machining process. It provides the machine operator opportunities to interact with both the physical manufacturing process and its digital data in real-time. The digital representation of the physical process can support them to manage the trial machining from different aspects. In addition, a demonstrative case study is presented to explain the implementation of this framework in a real manufacturing environment.     

一种半监督学习的代码自动生成性能评估方法

为了提高软件开发的质量和效率,代码自动生成是当前的研究热点,代码自动生成的性能是其中的重要问题.现有代码自动生成的性能分析方法较简单,难以评估代码自动生成过程中程序员与代码自动生成工具各自的特征.本文综合考虑了代码自动生成过程中程序员与代码自动生成工具的作用,提出了一种基于半监督学习的代码自动生成性能评估方法,通过抽取程序员行为与代码自动生成工具行为的重要特征,划分代码自动生成的性能类别,建立了基于深度神经网络的代码自动生成过程性能评估模型,并计算程序员行为特征与代码自动生成工具行为特征对性能的影响程度.实验结果表明,该方法可以有效分析程序员行为与代码自动生成工具行为对代码自动生成过程性能的影响.     

计算机硬盘坏磁道修复的思路与技巧

本文通过隐藏坏磁道分区的方法,着重介绍了硬盘坏磁道的修复技术及注意事项,同时还介绍了逻辑坏磁道、0磁道损坏的修复方法。     

汽车同步器齿套摆线加工数控机床结构总体方案设计

将传统的汽车同步器齿套倒锥及滑块槽的几种加工方法，与用摆线逼近法加工汽车同步器齿套倒锥及滑块槽的加工方法加以比较，阐明了这种新方法产生的背景和优势；介绍了用摆线加工滑块槽的原理；在此基础上设计了汽车同步器齿套摆线加工数控机床的总体结构；给出了机床的主要动力和运动参数，最后展望了这种方法的应用前景。     

The statistical modeling of surface roughness in high-speed flat end milling

Surface roughness is one of the most important requirements in machining process. The surface roughness value is a result of the tool wear. When tool wear increase, the surface roughness also increases. The determination of the sufficient cutting parameters is a very important process obtained by means of both minimum surface roughness values and long tool life. The statistical models were developed to predict the surface roughness.This paper presents the development of a statistical model for surface roughness estimation in a high-speed flat end milling process under wet cutting conditions, using machining variables such as spindle speed, feed rate, depth of cut, and step over. First- and second-order models were developed using experimental results of a rotatable central composite design, and assessed by means of various statistical tests. The highest coefficient of correlation (R_adj²) (88%) was obtained with a 10-parameter second-order model. Meanwhile, a time trend was observed in residual values between model predictions and experimental data, reflecting the probable effect of the tool wear on surface roughness. Thus, in order to enhance the estimation capability of the model, another independent variable was included into the model to account for the effect of the tool wear, and the total operating time of the tool was selected as the most suitable variable for this purpose. By inserting this new variable as a linear term into the model, R_adj² was increased to 94% and a good fit was observed between the model predictions and supplementary experimental data.In this study, it was observed that, the order of significance of the main variables is as X₅>X₃>X₄>X₁>X₂ (total machining time, depth of cut, step over, spindle speed and feed rate, respectively).     

数控机床主轴位置自动测量的实现

论述了数控机床主轴的结构以及数控机床主轴位王的测量电路的设计，实现了数控机床主轴位王参数的自动化测量过程。     

电机电流分析法在机床类设备诊断中的应用研究

机床类设备传动链复杂,结构紧凑且封闭,对传动系统状态监测一直没有有效的分析办法,即使在噪声增大等恶劣情况下,常规的振动诊断方法也难以奏效.本文尝试用电流信号分析法,简称MCSA(Motor Current Signal Analysis),对机床状态进行测试和分析.通过电机电流信号的传动链齿轮谱特征分析,对其做出了正确评估,表明定子电流能很好地反映机床传动系统部件的运行状况.同时进行了多种运行工况的测试与试验,研究结论对机床类设备的生产制造和现场运行状态的分析提供了有效依据.     

Novel methods for rapid assessment of tool performance in milling

The paper examines the effectiveness of two innovative techniques designed to rapidly optimize a milling application. One of them relates to quantifying the relative wear of different insert grades concurrently in a single cutting test, by mounting the inserts in the same cutter, for a quick comparative performance evaluation. Experimental results that illustrate the validity and limitation of this concept, and a scheme for enhancing the reliability of the test method are presented. The other technique refers to rapid identification of the optimum feed/tooth that corresponds to maximum tool life. This entails a test wherein individual inserts in the cutter are subject to feed/tooth that are multiples of a base value, by selectively leaving appropriate number of consecutive insert pockets unoccupied. These novel techniques complement known accelerated tool life tests, and are expedient for industries that engage short production runs, in terms of selecting a suitable insert grade for an application, and determining optimal cutting conditions for the selected grade.