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On Syllabus Design for the Specialty of Electromechanical Equipment Maintenance and Management in Vocational College
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作者 YU Jun-ping, YAN He-feng Zhejiang Electromechanical Vocational Technical College, Hangzhou 310012,P. R. China 《International Journal of Plant Engineering and Management》 2001年第2期110-112,共3页
We carried out researches on the syllabus design for the specialty of electromechanical equipment maintenance & management in vocational college. Our researches involve the following aspects: (1) The training obje... We carried out researches on the syllabus design for the specialty of electromechanical equipment maintenance & management in vocational college. Our researches involve the following aspects: (1) The training objective of the specialty; (2) the curriculum system; (3) The teaching methodology; and (4) Field training. 展开更多
关键词 vocational education syllabus design equipment maintenance and management
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Digital Vision Based Concrete Compressive Strength Evaluating Model Using Deep Convolutional Neural Network 被引量:7
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作者 Hyun Kyu Shin Yong Han Ahn +1 位作者 Sang Hyo Lee Ha Young Kim 《Computers, Materials & Continua》 SCIE EI 2019年第9期911-928,共18页
Compressive strength of concrete is a significant factor to assess building structure health and safety.Therefore,various methods have been developed to evaluate the compressive strength of concrete structures.However... Compressive strength of concrete is a significant factor to assess building structure health and safety.Therefore,various methods have been developed to evaluate the compressive strength of concrete structures.However,previous methods have several challenges in costly,time-consuming,and unsafety.To address these drawbacks,this paper proposed a digital vision based concrete compressive strength evaluating model using deep convolutional neural network(DCNN).The proposed model presented an alternative approach to evaluating the concrete strength and contributed to improving efficiency and accuracy.The model was developed with 4,000 digital images and 61,996 images extracted from video recordings collected from concrete samples.The experimental results indicated a root mean square error(RMSE)value of 3.56(MPa),demonstrating a strong feasibility that the proposed model can be utilized to predict the concrete strength with digital images of their surfaces and advantages to overcome the previous limitations.This experiment contributed to provide the basis that could be extended to future research with image analysis technique and artificial neural network in the diagnosis of concrete building structures. 展开更多
关键词 Concrete compressive strength deep learning deep convolutional neural network image-based evaluation building maintenance and management
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Application of Wild Flowers in City Colors
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作者 WANG Dongjian 《Journal of Landscape Research》 2014年第3期35-36,共2页
Types and application of wild flower combinations were introduced,selection principles and compositions analyzed according to different application environments.According to environmental conditions and application st... Types and application of wild flower combinations were introduced,selection principles and compositions analyzed according to different application environments.According to environmental conditions and application styles of the planning site,cultivation and maintenance of wild fl ower combinations were studied to explore the cultivation and application techniques of different combinations,ecological landscape functions of wild fl ower combinations,and application prospects in northern cities of China. 展开更多
关键词 Wild flower combinations LandSCAPE Cultivation and application maintenance and management
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