There has been a significant advancement in the application of statistical tools in plant pathology during the past four decades. These tools include multivariate analysis of disease dynamics involving principal compo...There has been a significant advancement in the application of statistical tools in plant pathology during the past four decades. These tools include multivariate analysis of disease dynamics involving principal component analysis, cluster analysis, factor analysis, pattern analysis, discriminant analysis, multivariate analysis of variance, correspondence analysis, canonical correlation analysis, redundancy analysis, genetic diversity analysis, and stability analysis, which involve in joint regression, additive main effects and multiplicative interactions, and genotype-by-environment interaction biplot analysis. The advanced statistical tools, such as non-parametric analysis of disease association, meta-analysis, Bayesian analysis, and decision theory, take an important place in analysis of disease dynamics. Disease forecasting methods by simulation models for plant diseases have a great potentiality in practical disease control strategies. Common mathematical tools such as monomolecular, exponential, logistic, Gompertz and linked differential equations take an important place in growth curve analysis of disease epidemics. The highly informative means of displaying a range of numerical data through construction of box and whisker plots has been suggested. The probable applications of recent advanced tools of linear and non-linear mixed models like the linear mixed model, generalized linear model, and generalized linear mixed models have been presented. The most recent technologies such as micro-array analysis, though cost effective, provide estimates of gene expressions for thousands of genes simultaneously and need attention by the molecular biologists. Some of these advanced tools can be well applied in different branches of rice research, including crop improvement, crop production, crop protection, social sciences as well as agricultural engineering. The rice research scientists should take advantage of these new opportunities adequately in adoption of the new highly potential advanced technologies while planning experimental designs, data collection, analysis and interpretation of their research data sets.展开更多
In this paper, the authors present the development of a data modelling tool that visualizes the transformation process of an ＂Entity-Relationship＂ Diagram （ERD） into a relational database schema. The authors＇ foc...In this paper, the authors present the development of a data modelling tool that visualizes the transformation process of an ＂Entity-Relationship＂ Diagram （ERD） into a relational database schema. The authors＇ focus is the design of a tool for educational purposes and its implementation on e-learning database course. The tool presents two stages of database design. The first stage is to draw ERD graphically and validate it. The drawing is done by a learner. Then at second stage, the system enables automatically transformation of ERD to relational database schema by using common rules. Thus, the learner could understand more easily how to apply the theoretical material. A detailed description of system functionalities and algorithm for the conversion are proposed. Finally, a user interface and usage aspects are exposed.展开更多
The industry now has a buzzword, 'big data,' for how we’re going to do something with the huge amount of information piling up. 'Big data' is replacing
This paper applied the gray system theory to error data processing of NCmachine tools according to the characteristic. It presented the gray metabolism model of error dataprocessing. The test method for the model need...This paper applied the gray system theory to error data processing of NCmachine tools according to the characteristic. It presented the gray metabolism model of error dataprocessing. The test method for the model needs less capacity. Practice proved that the method issimple, calculation is easy, and results are exact.展开更多
This study investigates university English teachers’acceptance and willingness to use learning management system(LMS)data analysis tools in their teaching practices.The research employs a mixed-method approach,combin...This study investigates university English teachers’acceptance and willingness to use learning management system(LMS)data analysis tools in their teaching practices.The research employs a mixed-method approach,combining quantitative surveys and qualitative interviews to understand teachers’perceptions and attitudes,and the factors influencing their adoption of LMS data analysis tools.The findings reveal that perceived usefulness,perceived ease of use,technical literacy,organizational support,and data privacy concerns significantly impact teachers’willingness to use these tools.Based on these insights,the study offers practical recommendations for educational institutions to enhance the effective adoption of LMS data analysis tools in English language teaching.展开更多
The fact that most engineering applications are developed by engineers themselves rather than computer professionals calls for the data modeling methods to be powerful enough to represent complex engineering phenomena...The fact that most engineering applications are developed by engineers themselves rather than computer professionals calls for the data modeling methods to be powerful enough to represent complex engineering phenomena, but simple enough to use. A data modeling method which can help engineers to write C++ code with high quality is introduced.展开更多
机床加工场景复杂多样,加工过程环境排放扩散无规律、时变性强等特点,导致清单数据实时获取困难,造成制造工艺环境排放清单数据缺失严重等问题,制约了机床加工过程的环境影响分析以及绿色化改进。针对上述问题,构建了基于“加工设备-加...机床加工场景复杂多样,加工过程环境排放扩散无规律、时变性强等特点,导致清单数据实时获取困难,造成制造工艺环境排放清单数据缺失严重等问题,制约了机床加工过程的环境影响分析以及绿色化改进。针对上述问题,构建了基于“加工设备-加工对象-辅助材料-工艺参数”的机床加工单元过程场景模型,实现了机床加工场景信息的统一表达。在此基础上,搭建了基于物联网(Internet of Things,IoT)架构的环境排放清单数据采集系统,实时采集、传输、处理和存储清单数据;提出了面向多场景的机床加工过程环境排放采集策略和清单计算模型,实现复杂工况下的排放数据采集与转换。最后,以电火花线切割机床加工过程为例,基于正交试验探究了场景属性对环境性能的影响趋势,确定了最优工艺方案,验证了所提方法的可行性与有效性。该研究为机床加工过程环境排放清单数据的实时采集、建模、溯源提供了一套系统的解决方案,为机床加工过程的绿色工艺评价、优化与绿色改造提供了量化基础数据和决策参考。展开更多
文摘There has been a significant advancement in the application of statistical tools in plant pathology during the past four decades. These tools include multivariate analysis of disease dynamics involving principal component analysis, cluster analysis, factor analysis, pattern analysis, discriminant analysis, multivariate analysis of variance, correspondence analysis, canonical correlation analysis, redundancy analysis, genetic diversity analysis, and stability analysis, which involve in joint regression, additive main effects and multiplicative interactions, and genotype-by-environment interaction biplot analysis. The advanced statistical tools, such as non-parametric analysis of disease association, meta-analysis, Bayesian analysis, and decision theory, take an important place in analysis of disease dynamics. Disease forecasting methods by simulation models for plant diseases have a great potentiality in practical disease control strategies. Common mathematical tools such as monomolecular, exponential, logistic, Gompertz and linked differential equations take an important place in growth curve analysis of disease epidemics. The highly informative means of displaying a range of numerical data through construction of box and whisker plots has been suggested. The probable applications of recent advanced tools of linear and non-linear mixed models like the linear mixed model, generalized linear model, and generalized linear mixed models have been presented. The most recent technologies such as micro-array analysis, though cost effective, provide estimates of gene expressions for thousands of genes simultaneously and need attention by the molecular biologists. Some of these advanced tools can be well applied in different branches of rice research, including crop improvement, crop production, crop protection, social sciences as well as agricultural engineering. The rice research scientists should take advantage of these new opportunities adequately in adoption of the new highly potential advanced technologies while planning experimental designs, data collection, analysis and interpretation of their research data sets.
文摘In this paper, the authors present the development of a data modelling tool that visualizes the transformation process of an ＂Entity-Relationship＂ Diagram （ERD） into a relational database schema. The authors＇ focus is the design of a tool for educational purposes and its implementation on e-learning database course. The tool presents two stages of database design. The first stage is to draw ERD graphically and validate it. The drawing is done by a learner. Then at second stage, the system enables automatically transformation of ERD to relational database schema by using common rules. Thus, the learner could understand more easily how to apply the theoretical material. A detailed description of system functionalities and algorithm for the conversion are proposed. Finally, a user interface and usage aspects are exposed.
文摘The industry now has a buzzword, 'big data,' for how we’re going to do something with the huge amount of information piling up. 'Big data' is replacing
文摘This paper applied the gray system theory to error data processing of NCmachine tools according to the characteristic. It presented the gray metabolism model of error dataprocessing. The test method for the model needs less capacity. Practice proved that the method issimple, calculation is easy, and results are exact.
文摘This study investigates university English teachers’acceptance and willingness to use learning management system(LMS)data analysis tools in their teaching practices.The research employs a mixed-method approach,combining quantitative surveys and qualitative interviews to understand teachers’perceptions and attitudes,and the factors influencing their adoption of LMS data analysis tools.The findings reveal that perceived usefulness,perceived ease of use,technical literacy,organizational support,and data privacy concerns significantly impact teachers’willingness to use these tools.Based on these insights,the study offers practical recommendations for educational institutions to enhance the effective adoption of LMS data analysis tools in English language teaching.
文摘The fact that most engineering applications are developed by engineers themselves rather than computer professionals calls for the data modeling methods to be powerful enough to represent complex engineering phenomena, but simple enough to use. A data modeling method which can help engineers to write C++ code with high quality is introduced.
文摘机床加工场景复杂多样,加工过程环境排放扩散无规律、时变性强等特点,导致清单数据实时获取困难,造成制造工艺环境排放清单数据缺失严重等问题,制约了机床加工过程的环境影响分析以及绿色化改进。针对上述问题,构建了基于“加工设备-加工对象-辅助材料-工艺参数”的机床加工单元过程场景模型,实现了机床加工场景信息的统一表达。在此基础上,搭建了基于物联网(Internet of Things,IoT)架构的环境排放清单数据采集系统,实时采集、传输、处理和存储清单数据;提出了面向多场景的机床加工过程环境排放采集策略和清单计算模型,实现复杂工况下的排放数据采集与转换。最后,以电火花线切割机床加工过程为例,基于正交试验探究了场景属性对环境性能的影响趋势,确定了最优工艺方案,验证了所提方法的可行性与有效性。该研究为机床加工过程环境排放清单数据的实时采集、建模、溯源提供了一套系统的解决方案,为机床加工过程的绿色工艺评价、优化与绿色改造提供了量化基础数据和决策参考。
