The paper proposes an innovative approach aimed at fostering AI literacy through interactive gaming experiences.This paper designs a game-based prototype for preparing pre-service teachers to innovate teaching practic...The paper proposes an innovative approach aimed at fostering AI literacy through interactive gaming experiences.This paper designs a game-based prototype for preparing pre-service teachers to innovate teaching practices across disciplines.The simulation,Color Conquest,serves as a strategic game to encourage educators to reconsider their pedagogical practices.It allows teachers to use and develop various scenarios by customizing maps,giving students agency to engage in the complex decision-making process.Additionally,this engagement process provides teachers with an opportunity to develop students’skills in artificial intelligence literacy as students actively develop strategic thinking,problem-solving,and critical reasoning skills.展开更多
Recent advancements in technology have opened up new avenues for educators to facilitate teaching and leverage more learning access in the digital age.As the demand for computational skills continues to grow in prepar...Recent advancements in technology have opened up new avenues for educators to facilitate teaching and leverage more learning access in the digital age.As the demand for computational skills continues to grow in preparation for future careers,both teachers and students face the challenge of developing problem-solving,critical thinking,communication,and collaboration skills within an emerging digital landscape.Technology adoption,big data,cloud computing and artificial intelligence pose ongoing challenges for both teachers and students in adapting to the changing workforce development landscape.To tackle these challenges,the paper highlights the importance of exploring the implications of learning sciences in classroom teaching,developing a holistic vision for professional development in education,and understanding the complexities of teacher change.To effectively implement these components,it is crucial to adopt design approaches that prioritize student ownership in education and embrace the principles of inclusive education to reconceptualize the teaching practices in education and technology.展开更多
当噪声水平升高时,现有的噪声估计算法存在跟踪时延和估计不准确的问题,为提高噪声估计的准确性,对改进的最小值控制的递归平均噪声估计算法(improved minima controlled recursive averaging,IMCRA)中的最小值搜索方法进行改进,利用连...当噪声水平升高时,现有的噪声估计算法存在跟踪时延和估计不准确的问题,为提高噪声估计的准确性,对改进的最小值控制的递归平均噪声估计算法(improved minima controlled recursive averaging,IMCRA)中的最小值搜索方法进行改进,利用连续最小值跟踪算法取代最小值统计算法,打破求解最小值受窗长影响的现状,减少跟踪时延;提出一种基于语音存在概率的偏差补偿函数模型,偏差补偿的大小由各个频带决定。实验结果表明,不管是平稳还是非平稳噪声环境,改进后的算法都能有效提高增强后语音的质量。展开更多
为有效检测SQL注入(structured query language injection,SQLI),对机器学习的基本方法进行研究,通过朴素贝叶斯(Naive Bayes)分类算法对SQLI检测分类。对用户可能输入的字符序列,经特征提取与词法分析后,生成特定顺序标记(Token)的特...为有效检测SQL注入(structured query language injection,SQLI),对机器学习的基本方法进行研究,通过朴素贝叶斯(Naive Bayes)分类算法对SQLI检测分类。对用户可能输入的字符序列,经特征提取与词法分析后,生成特定顺序标记(Token)的特征向量,通过朴素贝叶斯模型对其分类,评估出SQLI与非SQLI (non-SQLI)两个类别。对预处理阶段加以细化,包括对特征提取方法的改进与词法分析标记原子化;在机器学习阶段,针对预处理后的特征向量,提出一种可去噪声的SQLI检测算法。实验结果表明,在给定的预先确定了SQL语句类别的数据集的情况下,该方案可以有效地检测SQLI攻击。展开更多
Benefited from wireless power transfer(WPT)and mobile-edge computing(MEC),wireless powered MEC systems have attracted widespread attention.Specifically,we design an online offloading scheme based on deep reinforcement...Benefited from wireless power transfer(WPT)and mobile-edge computing(MEC),wireless powered MEC systems have attracted widespread attention.Specifically,we design an online offloading scheme based on deep reinforcement learning that maximizes the computation rate and minimizes the energy consumption of all wireless devices(WDs).Extensive results validate that the proposed scheme can achieve better tradeoff between energy consumption and computation delay.展开更多
Primary drainage capillary pressure data are usually correlatable with a 3D predictable property of grid cells.Accordingly,rock typing is normally performed based on an established correlation.Primary drainage as well...Primary drainage capillary pressure data are usually correlatable with a 3D predictable property of grid cells.Accordingly,rock typing is normally performed based on an established correlation.Primary drainage as well as corresponding imbibition and/or secondary drainage capillary pressure curves are averaged to establish a saturation table for each rock type region in reservoir modeling.This study in-vestigates the reliability of this industry-accepted methodology,and has two main contributions.First,we show that if different types of capillary pressures are plotted against water saturation,comparing them might be highly misleading.We demonstrate that although primary drainage capillary pressure data may be plotted against water saturation,the imbibition and secondary drainage capillary pressure data should be plotted against imbibed water saturation.This would enable reservoir engineers to check whether rocks with similar primary drainage capillary pressures do or do not have similar imbibition/secondary drainage counterparts.Using this technique,rock quality can be also deduced from imbibition and secondary drainage capillary pressure curves.We use capillary pressure data measured on limestone and sandstone samples from the Asmari Formation in three Iranian oilfields to evaluate our technique.The second contribution of this study is the proposal of a new methodology for preparing capillary pressure curves for reservoir models.In our methodology,a grid cell can represent more than one rock type region,each specific to a saturation function.As a part of this methodology,we present new physically meaningful equations for averaging primary drainage,imbibition,and secondary drainage capillary pressure curves.展开更多
Spintronic devices are driving new paradigms of bio-inspired,energy efficient computation like neuromorphic stochastic computing and in-memory computing.They have also emerged as key candidates for non-volatile memori...Spintronic devices are driving new paradigms of bio-inspired,energy efficient computation like neuromorphic stochastic computing and in-memory computing.They have also emerged as key candidates for non-volatile memories for embedded systems as well as alternatives to persistent memories.To meet the growing demands from such diverse applications,there is need for innovation in materials and device designs which can be scaled and adapted according to the application.Two-dimensional(2D)magnetic materials address challenges facing bulk magnet systems by offering scalability while maintaining device integrity and allowing efficient control of magnetism.In this review,we highlight the progress made in experimental studies on 2D magnetic materials towards their integration into spintronic devices.We provide an account of the various relevant material discoveries,demonstrations of current and voltage-based control of magnetism and reported device systems,while also discussing the challenges and opportunities towards integration of 2D magnetic materials in commercial spintronic devices.展开更多
Current investigations on visual information retrieval are generally content-based methods. The significant difference between similarity in low-level features and similarity in high-level semantic meanings is still a...Current investigations on visual information retrieval are generally content-based methods. The significant difference between similarity in low-level features and similarity in high-level semantic meanings is still a major challenge in the area of image retrieval. In this work, a scheme for constructing visual ontology to retrieve art images is proposed. The proposed ontology describes images in various aspects, including type ＆ style, objects and global perceptual effects. Concepts in the ontology could be automatically derived. Various art image classification methods are employed based on low-level image features. Non-objective semantics are introduced, and how to express these semantics is given. The proposed ontology scheme could make users more naturally find visual information and thus narrows the “semantic gap”. Experimental implementation demonstrates its good potential for retrieving art images in a human-centered manner.展开更多
文摘The paper proposes an innovative approach aimed at fostering AI literacy through interactive gaming experiences.This paper designs a game-based prototype for preparing pre-service teachers to innovate teaching practices across disciplines.The simulation,Color Conquest,serves as a strategic game to encourage educators to reconsider their pedagogical practices.It allows teachers to use and develop various scenarios by customizing maps,giving students agency to engage in the complex decision-making process.Additionally,this engagement process provides teachers with an opportunity to develop students’skills in artificial intelligence literacy as students actively develop strategic thinking,problem-solving,and critical reasoning skills.
文摘Recent advancements in technology have opened up new avenues for educators to facilitate teaching and leverage more learning access in the digital age.As the demand for computational skills continues to grow in preparation for future careers,both teachers and students face the challenge of developing problem-solving,critical thinking,communication,and collaboration skills within an emerging digital landscape.Technology adoption,big data,cloud computing and artificial intelligence pose ongoing challenges for both teachers and students in adapting to the changing workforce development landscape.To tackle these challenges,the paper highlights the importance of exploring the implications of learning sciences in classroom teaching,developing a holistic vision for professional development in education,and understanding the complexities of teacher change.To effectively implement these components,it is crucial to adopt design approaches that prioritize student ownership in education and embrace the principles of inclusive education to reconceptualize the teaching practices in education and technology.
文摘当噪声水平升高时,现有的噪声估计算法存在跟踪时延和估计不准确的问题,为提高噪声估计的准确性,对改进的最小值控制的递归平均噪声估计算法(improved minima controlled recursive averaging,IMCRA)中的最小值搜索方法进行改进,利用连续最小值跟踪算法取代最小值统计算法,打破求解最小值受窗长影响的现状,减少跟踪时延;提出一种基于语音存在概率的偏差补偿函数模型,偏差补偿的大小由各个频带决定。实验结果表明,不管是平稳还是非平稳噪声环境,改进后的算法都能有效提高增强后语音的质量。
基金National Natural Science Foundation of China(No.61902060)Fundamental Research Fund for the Central Universities,China(No.2232019D3-51)Shanghai Sailing Program,China(No.19YF1402100).
文摘Benefited from wireless power transfer(WPT)and mobile-edge computing(MEC),wireless powered MEC systems have attracted widespread attention.Specifically,we design an online offloading scheme based on deep reinforcement learning that maximizes the computation rate and minimizes the energy consumption of all wireless devices(WDs).Extensive results validate that the proposed scheme can achieve better tradeoff between energy consumption and computation delay.
基金Kansas State University for the faculty start-up fund.
文摘Primary drainage capillary pressure data are usually correlatable with a 3D predictable property of grid cells.Accordingly,rock typing is normally performed based on an established correlation.Primary drainage as well as corresponding imbibition and/or secondary drainage capillary pressure curves are averaged to establish a saturation table for each rock type region in reservoir modeling.This study in-vestigates the reliability of this industry-accepted methodology,and has two main contributions.First,we show that if different types of capillary pressures are plotted against water saturation,comparing them might be highly misleading.We demonstrate that although primary drainage capillary pressure data may be plotted against water saturation,the imbibition and secondary drainage capillary pressure data should be plotted against imbibed water saturation.This would enable reservoir engineers to check whether rocks with similar primary drainage capillary pressures do or do not have similar imbibition/secondary drainage counterparts.Using this technique,rock quality can be also deduced from imbibition and secondary drainage capillary pressure curves.We use capillary pressure data measured on limestone and sandstone samples from the Asmari Formation in three Iranian oilfields to evaluate our technique.The second contribution of this study is the proposal of a new methodology for preparing capillary pressure curves for reservoir models.In our methodology,a grid cell can represent more than one rock type region,each specific to a saturation function.As a part of this methodology,we present new physically meaningful equations for averaging primary drainage,imbibition,and secondary drainage capillary pressure curves.
文摘Spintronic devices are driving new paradigms of bio-inspired,energy efficient computation like neuromorphic stochastic computing and in-memory computing.They have also emerged as key candidates for non-volatile memories for embedded systems as well as alternatives to persistent memories.To meet the growing demands from such diverse applications,there is need for innovation in materials and device designs which can be scaled and adapted according to the application.Two-dimensional(2D)magnetic materials address challenges facing bulk magnet systems by offering scalability while maintaining device integrity and allowing efficient control of magnetism.In this review,we highlight the progress made in experimental studies on 2D magnetic materials towards their integration into spintronic devices.We provide an account of the various relevant material discoveries,demonstrations of current and voltage-based control of magnetism and reported device systems,while also discussing the challenges and opportunities towards integration of 2D magnetic materials in commercial spintronic devices.
基金China-American Digital Academic Library (CADAL) project, partially supported by the Research Project on Context-Based Multiple Digital Media Semantic Organization and System Development，中国科学院'百人计划'，the One-Hundred Talents Plan of CAS
文摘Current investigations on visual information retrieval are generally content-based methods. The significant difference between similarity in low-level features and similarity in high-level semantic meanings is still a major challenge in the area of image retrieval. In this work, a scheme for constructing visual ontology to retrieve art images is proposed. The proposed ontology describes images in various aspects, including type ＆ style, objects and global perceptual effects. Concepts in the ontology could be automatically derived. Various art image classification methods are employed based on low-level image features. Non-objective semantics are introduced, and how to express these semantics is given. The proposed ontology scheme could make users more naturally find visual information and thus narrows the “semantic gap”. Experimental implementation demonstrates its good potential for retrieving art images in a human-centered manner.
