Attitudes of High School and Vocational School Students Toward Breastfeeding in Taiwan     

Yen-Ju Ho  Chao-Chin Yu 《The Journal of perinatal education》2014,23(2):89-95

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Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies     

Pak Kin Wong  Xiang Hui Gao  Ka In Wong  Chi Man Vong 《Journal of The Franklin Institute》2018,355(4):1517-1538

Modern engines are controlled by electronic control units, which operate all the engine actuators based on the signals from various sensors in the engine. Traditionally, the control parameters of the actuators are obtained through huge amount of trial-and-error experiments. However, using traditional approach to calibrate these parameters becomes more challenging with the increasing incorporation of new technologies into advanced engines. In order to reduce the number of experiments required in the calibration process of modern engines, a novel point-by-point engine calibration approach based on machine learning methods is proposed in this study. It is an iterative procedure that, for a given operating point, sequential design of experiment (DoE) strategy is utilized to measure the responses of different engine sensors corresponding to different actuator signals, and a machine learning algorithm called initial-training-free online extreme learning machine is utilized to incrementally learn the relationship between the sensors and actuators based on the measurement acquired. In each iterative cycle, meta-heuristic optimization is performed on the machine-learning-based model to search for the best parameters, which are then used as the initial parameters for generating DoE plan of the next cycle. The iteration is repeated until the optimal parameters of that operating point are found. To verify the effectiveness of the proposed approach, experiments on both simulation engine in commercial software and real engine in test bench have been conducted. The results show that the engine calibration can be carried out with significant fewer experiments and time by using the proposed approach.  相似文献   

Discoursing Education Reforms: A Case Study of Post-Handover Education Development in Hong Kong     

Ching-wai Ho 《Chinese Education & Society》2018,51(6):431-448

Abstract

This study adopted a discursive institutional framework to examine how teachers make sense of and understand transformation in their work and workplace during education reforms. Examination of this process is highly significant because it helps us to understand the often misplaced emphasis on workload in analysis of teachers’ work pressure in public and academic discussions, which might not reflect the whole picture. In-depth interviews were used to obtain information from the teachers’ perspective as front-line practitioners in the education institution. The study identified the discursive processes contributing to the institutionalization of new ideas and practices introduced during education reforms. This article argues that through situating teachers’ response to the reform in the relevant sociohistorical context, we can better delineate how meaning negotiation is possible in the moment of institutional change.  相似文献   

Unsettling environmental management: reflections from two environmental studies graduates in Singapore     

Ezra Ho  Nicholas Ang 《Environmental Education Research》2018,24(2):280-295

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社会化网络、情境因素与知识协同关系实证研究——基于安徽大学学生的样本调查     

储节旺  吴川徽  徐咖 《现代情报》2017,37(6):72-79

[目的/意义]知识经济时代,社会化网络越来越得到重视,而探究其对于知识协同的作用一直处于摸索阶段。[方法/过程]本文基于对社会化网络、知识协同基本定义的界定上,利用维度衡量、模型构建为架构,利用数据对模型进行验证分析。并引入情境因素作为外生环境因素探究其对于社会化网络及知识协同的影响。[结果/结论]通过实证分析,表明社会化网络对于知识协同以及情境因素中部分维度有着显著影响;用户因素对于知识协同存在显著影响,情境因素在社会化网络与知识协同之间存在部分中介效应。  相似文献   

Standing on the shoulders of giants: Online formative assessments as the foundation for predictive learning analytics models     

Okan Bulut  Guher Gorgun  Seyma N. Yildirim-Erbasli  Tarid Wongvorachan  Lia M. Daniels  Yizhu Gao  Ka Wing Lai  Jinnie Shin 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(1):19-39

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