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Recently, a number of classification techniques have been introduced. However, processing large dataset in a reasonable time has become a major challenge. This made classification task more complex and expensive in calculation. Thus, the need for solutions to overcome these constraints such as field programmable gate arrays (FPGAs). In this paper, we give an overview of the various classification techniques. Then, we present the existing FPGA based implementation of these classification methods. After that, we investigate the confronted challenges and the optimizations strategies. Finally, we highlight the hardware accelerator architectures and tools for hardware design suggested to improve the FPGA implementation of classification methods. 相似文献
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Achieving high workpiece accuracy is the long-term goal of machine tool designers. There are many causes for workpiece inaccuracy, with thermal errors being the most common. Indirect compensation (using prediction models for thermal errors) is a promising strategy to reduce thermal errors without increasing machine tool costs. The modelling approach uses transfer functions to deal with this issue; it is an established dynamic method with a physical basis, and its modelling and calculation speed are suitable for real-time applications. This research presents compensation for the main internal and external heat sources affecting the 5-axis machine tool structure including spindle rotation, three linear axes movements, rotary C axis and time-varying environmental temperature influence, save for the cutting process. A mathematical model using transfer functions is implemented directly into the control system of a milling centre to compensate for thermal errors in real time using Python programming language. The inputs of the compensation algorithm are indigenous temperature sensors used primarily for diagnostic purposes in the machine. Therefore, no additional temperature sensors are necessary. This achieved a significant reduction in thermal errors in three machine directions X, Y and Z during verification testing lasting over 60 h. Moreover, a thermal test piece was machined to verify the industrial applicability of the introduced approach. The results of the transfer function model compared with the machine tool's multiple linear regression compensation model are discussed. 相似文献
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Algan Tezel Lauri Koskela Zeeshan Aziz 《International Journal of Project Management》2018,36(2):267-286
The aim of this study is to identify the parameters defining how Lean Construction (LC) is being implemented (current condition) and how LC can be further promoted (future direction) from a Small-Medium Sized Enterprises (SMEs) perspective. Although SMEs constitute the largest group in construction supply chains, LC, as an emerging phenomenon in civil construction project management, has been rarely investigated from an SMEs perspective. Also, overlooking the more macro factors like project governance and supply chain management, LC deployments have been mainly discussed from a production process perspective to date. After a review of the extant literature and 20 interviews with managers from the highways sector, a list of 31 current condition and 40 future direction statements were produced, classified under the delivery, process, training, project governance and supply chain related headings and used in a questionnaire survey with 110 responses. The current condition highlights problems like a short-term relations structure, competitive tendering mechanisms, fragmentation, problems in engaging with SMEs for LC, unstandardised LC techniques, and issues with convincing SMEs to deploy LC by demonstrating the business case on mutual benefits. Action items relating to the current project delivery structure were given the highest importance by the supply chain, alongside the LC training and project governance issues for the future of LC at highways SMEs. Additionally, a statistically significant correlation was identified among many future action items. 相似文献
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为满足电网运行实时风险评估时效性要求,解决电网运行实时风险评估与定级中效率与精度两者间协调的问题,在当前国家和主要电网企业规定的电网运行事故定级标准基础上提出了一种快速定级方法。快速定级方法充分考虑了电网运行实际特性,采取数据治理和算法重构两方面主要措施,对原判定方法进行优化处理。通过数据治理,大幅降低了对外部数据的依赖性,并取消了部分不必要的输入数据。采用算法重构,进一步将运行风险定级与实际业务流程紧密联系。以该快速定级方法为核心,构建了支撑电网运行风险分析与事故处置的实时运行风险管理系统,介绍了该系统的功能框架与系统架构。最后结合该系统在贵阳的实际应用情况,分析了快速定级方法的实际使用效益。 相似文献
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系统、全面的城市规划实施有效性评价在我国还没有真正开展。目前,我国的城市规划实施有效性评价主要是通过评价城市总体规划的实施结果来完成,评价方法基本局限于一般的空间符合性、目标符合性评价。然而,由于城市规划的综合性、复杂性,规划主体的多元性以及规划本身作为一种公共政策的制度属性,加上我国快速城镇化的发展现实,这种结果符合性评价在现实中往往演变成仅仅作为修编城市总体规划的基础性依据,而对于揭示和提升城市规划实施成效方面的作用甚微。结合对城市规划实施有效性本质意义和目的的诠释,以及对西方长期以来整体、全面综合评价城市规划实施有效性方法所面临问题的分析,研究在对城市规划实施成效评价的实质性作用和意义进行反思的基础上,提出了我国城市总体规划实施成效的评价应当从仅仅关注结果的符合性评价转变为以符合性评价为基础,完善规划实施在基层的监督权、责、利的正式制度配置,重点关注过程的动态规划评价。 相似文献
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