Sustainability is a key objective of water resources management and this paper describes a modelling and decision support framework that achieves this, illustrated by applications on the UK Thames and Mekong river bas...Sustainability is a key objective of water resources management and this paper describes a modelling and decision support framework that achieves this, illustrated by applications on the UK Thames and Mekong river basins. The decision support framework contains several modules, including an interactive user＇s interface linked to a GIS, a geo-database, knowledge base, simulation models and optimization procedures. Based on the analysis of scenarios and proposed interventions, efficient modelling and optimization tools form a comprehensive integrated decision support framework for the analysis and operational management of water resources in the river basin, our emphasis has been on a practical implementation through careful screening of alternatives, consideration of the institutional framework and direct involvement of stakeholders in the decision making process. Operating in this environment is transparent, reproducible and auditable, securing the trust of all interested parties. This paper discusses its applications to water utilisation on the Mekong river basin and drought management of the Lower Thames stored reservoir system.展开更多
In the last decade, turbulent times and uncertainti es in the business environment have made ground for a new business era, and "chang e" has become a major characteristic of the new era. This has resulted i...In the last decade, turbulent times and uncertainti es in the business environment have made ground for a new business era, and "chang e" has become a major characteristic of the new era. This has resulted in tirele ss evolution of business systems and the creation of new manufacturing and manag ement philosophies. Agile Manufacturing (AM) is a step forward in generation of new means for better performance and success of business, and in practice is a s trategic approach to manufacturing by considering the new conditions of the business environment. This paper discusses the concepts and development of a met hodology to achieve agility in manufacturing organisations. Following an introdu ction of the subject of agility, a discussion of the methodology and practical t ools to support the implementation of the methodology, including metrics for the assessment of agility drivers, capability and performance are given. Aspects of the tools are tested in an aerospace company.展开更多
The view that the traditional method of DSS development is outdated, which results to the diversiform disadvantages of DSS product. Therefore the ideas of application software framework based development to the genera...The view that the traditional method of DSS development is outdated, which results to the diversiform disadvantages of DSS product. Therefore the ideas of application software framework based development to the generation process of DSS is introduced and a modified flow chat of DSS development is proposed. Moreover, a formal description of the DSS software framework and its development is given. The analysis results indicates that not only does the new development flow ensure the DSS development global stability but also improves the software reusability level of the development process.展开更多
The command and control（C2） is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approac...The command and control（C2） is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approach,Bayesian networks（BNs） provide a framework in which a decision is made by combining the experts＇ knowledge and the specific data.In addition,an expert system represented by human cognitive framework is adopted to express the real-time decision-making process of the decision maker.The combination of the Bayesian decision support and human cognitive framework in the C2 of a specific application field is modeled and executed by colored Petri nets（CPNs）,and the consequences of execution manifest such combination can perfectly present the decision-making process in C2.展开更多
In the last decade, a large amount of data has been published in different fields and can be used as a data source for research and study. However, identifying a specific type of data requires processing, which involv...In the last decade, a large amount of data has been published in different fields and can be used as a data source for research and study. However, identifying a specific type of data requires processing, which involves machine learning classifying techniques. To facilitate this, we propose a general framework that can be applied to any social media content to develop an intelligent system. The framework consists of three main parts: an interface, classifier and ana-lyzer. The analyzer uses media recognition to identify specific features. Then, the classifier uses these features and involves them in the classification process. The interface organizes the interaction between the system compo-nents. We tested the framework and developed a system to be applied to im-age-based social media networks (Instagram). The system was implemented as a mobile application (My Interests) that works as a recommendation and filtering system for Instagram users and reduces the time they spend on irre-levant information. It analyzes the images, categorizes them, identifies the in-teresting ones, and finally, reports the results. We used the Cloud Vision API as a tool to analyze the images and extract their features. Furthermore, we adapted support vector machine (SVM), a machine learning method, to classify images and to predict the preferred ones.展开更多
数字化时代背景下,大学生的数字素养已成为适应数字经济、参与全球竞争以及推动国家信息化战略的核心要素。研究基于全球数字素养框架(Digital Literacy Global Framework,DLGF)开发了数字素养问卷,面向全国616所不同层次的本专科高校...数字化时代背景下,大学生的数字素养已成为适应数字经济、参与全球竞争以及推动国家信息化战略的核心要素。研究基于全球数字素养框架(Digital Literacy Global Framework,DLGF)开发了数字素养问卷,面向全国616所不同层次的本专科高校开展调查,共涵盖29,425名不同专业背景和学历层次的学生。研究结果显示,大学生的数字素养整体水平较为良好,但在“数字内容创建”与“职业相关能力”等能力域方面相对较弱。同时,不同学历、专业及社会经济背景的学生群体的数字素养总得分差异显著,且在不同能力域内优势学生群体的构成亦有所不同。进一步探究大学生数字素养的影响因素,则发现“家庭资本”和“院校支持”对学生的数字素养具有正向促进作用。展开更多
文摘Sustainability is a key objective of water resources management and this paper describes a modelling and decision support framework that achieves this, illustrated by applications on the UK Thames and Mekong river basins. The decision support framework contains several modules, including an interactive user＇s interface linked to a GIS, a geo-database, knowledge base, simulation models and optimization procedures. Based on the analysis of scenarios and proposed interventions, efficient modelling and optimization tools form a comprehensive integrated decision support framework for the analysis and operational management of water resources in the river basin, our emphasis has been on a practical implementation through careful screening of alternatives, consideration of the institutional framework and direct involvement of stakeholders in the decision making process. Operating in this environment is transparent, reproducible and auditable, securing the trust of all interested parties. This paper discusses its applications to water utilisation on the Mekong river basin and drought management of the Lower Thames stored reservoir system.
文摘In the last decade, turbulent times and uncertainti es in the business environment have made ground for a new business era, and "chang e" has become a major characteristic of the new era. This has resulted in tirele ss evolution of business systems and the creation of new manufacturing and manag ement philosophies. Agile Manufacturing (AM) is a step forward in generation of new means for better performance and success of business, and in practice is a s trategic approach to manufacturing by considering the new conditions of the business environment. This paper discusses the concepts and development of a met hodology to achieve agility in manufacturing organisations. Following an introdu ction of the subject of agility, a discussion of the methodology and practical t ools to support the implementation of the methodology, including metrics for the assessment of agility drivers, capability and performance are given. Aspects of the tools are tested in an aerospace company.
文摘The view that the traditional method of DSS development is outdated, which results to the diversiform disadvantages of DSS product. Therefore the ideas of application software framework based development to the generation process of DSS is introduced and a modified flow chat of DSS development is proposed. Moreover, a formal description of the DSS software framework and its development is given. The analysis results indicates that not only does the new development flow ensure the DSS development global stability but also improves the software reusability level of the development process.
基金supported by the National Natural Science Foundation of China (60874068)
文摘The command and control（C2） is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approach,Bayesian networks（BNs） provide a framework in which a decision is made by combining the experts＇ knowledge and the specific data.In addition,an expert system represented by human cognitive framework is adopted to express the real-time decision-making process of the decision maker.The combination of the Bayesian decision support and human cognitive framework in the C2 of a specific application field is modeled and executed by colored Petri nets（CPNs）,and the consequences of execution manifest such combination can perfectly present the decision-making process in C2.
文摘In the last decade, a large amount of data has been published in different fields and can be used as a data source for research and study. However, identifying a specific type of data requires processing, which involves machine learning classifying techniques. To facilitate this, we propose a general framework that can be applied to any social media content to develop an intelligent system. The framework consists of three main parts: an interface, classifier and ana-lyzer. The analyzer uses media recognition to identify specific features. Then, the classifier uses these features and involves them in the classification process. The interface organizes the interaction between the system compo-nents. We tested the framework and developed a system to be applied to im-age-based social media networks (Instagram). The system was implemented as a mobile application (My Interests) that works as a recommendation and filtering system for Instagram users and reduces the time they spend on irre-levant information. It analyzes the images, categorizes them, identifies the in-teresting ones, and finally, reports the results. We used the Cloud Vision API as a tool to analyze the images and extract their features. Furthermore, we adapted support vector machine (SVM), a machine learning method, to classify images and to predict the preferred ones.
文摘数字化时代背景下,大学生的数字素养已成为适应数字经济、参与全球竞争以及推动国家信息化战略的核心要素。研究基于全球数字素养框架(Digital Literacy Global Framework,DLGF)开发了数字素养问卷,面向全国616所不同层次的本专科高校开展调查,共涵盖29,425名不同专业背景和学历层次的学生。研究结果显示,大学生的数字素养整体水平较为良好,但在“数字内容创建”与“职业相关能力”等能力域方面相对较弱。同时,不同学历、专业及社会经济背景的学生群体的数字素养总得分差异显著,且在不同能力域内优势学生群体的构成亦有所不同。进一步探究大学生数字素养的影响因素,则发现“家庭资本”和“院校支持”对学生的数字素养具有正向促进作用。
