学术社交网络的出现改变了传统的科研方式,对于如何基于学术社交网络为学者进行团队个性化推荐进行了研究,提出了一种多维度潜在团队推荐模型(multi-faceted team recommendation,MFTR)。该模型首先通过投影梯度非负矩阵分解方法提取团...学术社交网络的出现改变了传统的科研方式,对于如何基于学术社交网络为学者进行团队个性化推荐进行了研究,提出了一种多维度潜在团队推荐模型(multi-faceted team recommendation,MFTR)。该模型首先通过投影梯度非负矩阵分解方法提取团队和用户的特征向量,并根据两者的特征向量计算其相似度,然后再融合用户的社交好友关系和热门团队信息来为用户推荐具有相似研究兴趣的潜在团队。最后在真实学术社交网站——学者网的数据上进行实验,结果表明该模型能有效地提高推荐的准确度,并缓解了冷启动问题。展开更多
As one of the core modules for air traffic flow management,Air Traffic Flow Prediction(ATFP)in the Multi-Airport System(MAS)is a prerequisite for demand and capacity balance in the complex meteorological environment.D...As one of the core modules for air traffic flow management,Air Traffic Flow Prediction(ATFP)in the Multi-Airport System(MAS)is a prerequisite for demand and capacity balance in the complex meteorological environment.Due to the challenge of implicit interaction mechanism among traffic flow,airspace capacity and weather impact,the Weather-aware ATFP(Wa-ATFP)is still a nontrivial issue.In this paper,a novel Multi-faceted Spatio-Temporal Graph Convolutional Network(MSTGCN)is proposed to address the Wa-ATFP within the complex operations of MAS.Firstly,a spatio-temporal graph is constructed with three different nodes,including airport,route,and fix to describe the topology structure of MAS.Secondly,a weather-aware multi-faceted fusion module is proposed to integrate the feature of air traffic flow and the auxiliary features of capacity and weather,which can effectively address the complex impact of severe weather,e.g.,thunderstorms.Thirdly,to capture the latent connections of nodes,an adaptive graph connection constructor is designed.The experimental results with the real-world operational dataset in Guangdong-Hong Kong-Macao Greater Bay Area,China,validate that the proposed approach outperforms the state-of-the-art machine-learning and deep-learning based baseline approaches in performance.展开更多
The target of software engineering is to produce high quality software product at low cost. Software testing is labour-intensive, ambiguous and error prone activity of software development. How to provide cost-effecti...The target of software engineering is to produce high quality software product at low cost. Software testing is labour-intensive, ambiguous and error prone activity of software development. How to provide cost-effective strategies for software test cases optimization problem such as classification, minimization, selection, and prioritization has been one of the research focuses in software testing for a long time. Many researchers and academicians have addressed the effectiveness/fitness and optimization of test cases, and obtained many interesting results. However, one issue of paramount importance in software testing i.e. the intrinsic imprecise and uncertainty of test cases fitness, fitness parameters, multi-objective optimization, is left unaddressed. Test cases fitness depends on several parameters. Vagueness of fitness of test cases and their fitness parameters have created the uncertainty in test cases optimization. Cost and adequacy values are incorporated into multi-faceted optimization of test cases. This paper argues test cases optimization requires multi-faceted optimization in order to adequately cater realistic software testing. In this paper, authors have identified several parameters for test cases fitness and multiple objectives for test cases optimization. In addition above, authors have formulated the test cases optimization problem in three different ways using multi-faceted concept. These formulations can be used in future by authors and researchers.展开更多
Sensors are ubiquitous in the Internet of Things for measuring and collecting data. Analyzing these data derived from sensors is an essential task and can reveal useful latent information besides the data. Since the I...Sensors are ubiquitous in the Internet of Things for measuring and collecting data. Analyzing these data derived from sensors is an essential task and can reveal useful latent information besides the data. Since the Internet of Things contains many sorts of sensors, the measurement data collected by these sensors are multi-type data, sometimes contai- ning temporal series information. If we separately deal with different sorts of data, we will miss useful information. This paper proposes a method to dis- cover the correlation in multi-faceted data, which contains many types of data with temporal informa- tion, and our method can simultaneously deal with multi-faceted data. We transform high-dimensional multi-faeeted data into lower-dimensional data which is set as multivariate Gaussian Graphical Models, then mine the correlation in multi-faceted data by discover the structure of the multivariate Gausslan Graphical Models. With a real data set, we verifies our method, and the experiment demonstrates that the method we propose can correctly fred out the correlation among multi-faceted meas- urement data.展开更多
In a world-shocking nuclear disaster occurred at Fukushima in 2011, multi-faceted consequences have manifested in not only direct and indirect but also tangible and intangible way in social, political, and economic do...In a world-shocking nuclear disaster occurred at Fukushima in 2011, multi-faceted consequences have manifested in not only direct and indirect but also tangible and intangible way in social, political, and economic domains. At present six year later, original risk issues, such as health, environmental, and financial risks, were complexly connected to each other, and have transformed to the wicked or complicated problems. This paper addresses the following four problems that we are faced with： prolonged evacuation and return to hometown, Tokyo Electric Power Company Holdings issues, nuclear regulatory issues, and nuclear energy policy and business. The authors discuss the reasons why above-noted situations arise from nuclear disaster in terms of endogenous factors embedded in socio-technical nuclear system in Japan and some common causes across the wicked problems. The wicked problems are also closely connected with each other, and become super-wicked problem. Among others, Japan＇s energy transition policy aiming at low carbon society tends to deviate politically and now at crossroad. Finally, the authors describe some perspectives and challenges required to govern interconnected events, as lessons learned from the Fukushima nuclear disaster.展开更多
Visualizing big and complex multivariate data is challenging.To address this challenge,we propose flexible visual analytics(FVA)with the aim to mitigate visual complexity and interaction complexity challenges in visua...Visualizing big and complex multivariate data is challenging.To address this challenge,we propose flexible visual analytics(FVA)with the aim to mitigate visual complexity and interaction complexity challenges in visual analytics,while maintaining the strengths of multiple perspectives on the studied data.At the heart of our proposed approach are transitions that fluidly transform data between userrelevant views to offer various perspectives and insights into the data.While smooth display transitions have been already proposed,there has not yet been an interdisciplinary discussion to systematically conceptualize and formalize these ideas.As a call to further action,we argue that future research is necessary to develop a conceptual framework for flexible visual analytics.We discuss preliminary ideas for prioritizing multi-aspect visual representations and multi-aspect transitions between them,and consider the display user for whom such depictions are produced and made available for visual analytics.With this contribution we aim to further facilitate visual analytics on complex data sets for varying data exploration tasks and purposes based on different user characteristics and data use contexts.展开更多
美国作家霍桑的作品在中国的译介活动始于20世纪初,现今已有百余年的历史。通过分析霍桑文学作品A Wonder Book for Girls and Boys以及短篇小说从1913年至1949年在中国的译介,论述霍桑文学作品在译介过程中文学性的接受与隐匿,探索霍...美国作家霍桑的作品在中国的译介活动始于20世纪初,现今已有百余年的历史。通过分析霍桑文学作品A Wonder Book for Girls and Boys以及短篇小说从1913年至1949年在中国的译介,论述霍桑文学作品在译介过程中文学性的接受与隐匿,探索霍桑作品在中国被选择性接受的实质缘由,展示出中国读者最早对于霍桑作品理解的多面性和矛盾性。展开更多
文摘学术社交网络的出现改变了传统的科研方式,对于如何基于学术社交网络为学者进行团队个性化推荐进行了研究,提出了一种多维度潜在团队推荐模型(multi-faceted team recommendation,MFTR)。该模型首先通过投影梯度非负矩阵分解方法提取团队和用户的特征向量,并根据两者的特征向量计算其相似度,然后再融合用户的社交好友关系和热门团队信息来为用户推荐具有相似研究兴趣的潜在团队。最后在真实学术社交网站——学者网的数据上进行实验,结果表明该模型能有效地提高推荐的准确度,并缓解了冷启动问题。
基金supported by the National Key Research and Development Program of China(No.2022YFB2602402)the National Natural Science Foundation of China(Nos.U2033215 and U2133210).
文摘As one of the core modules for air traffic flow management,Air Traffic Flow Prediction(ATFP)in the Multi-Airport System(MAS)is a prerequisite for demand and capacity balance in the complex meteorological environment.Due to the challenge of implicit interaction mechanism among traffic flow,airspace capacity and weather impact,the Weather-aware ATFP(Wa-ATFP)is still a nontrivial issue.In this paper,a novel Multi-faceted Spatio-Temporal Graph Convolutional Network(MSTGCN)is proposed to address the Wa-ATFP within the complex operations of MAS.Firstly,a spatio-temporal graph is constructed with three different nodes,including airport,route,and fix to describe the topology structure of MAS.Secondly,a weather-aware multi-faceted fusion module is proposed to integrate the feature of air traffic flow and the auxiliary features of capacity and weather,which can effectively address the complex impact of severe weather,e.g.,thunderstorms.Thirdly,to capture the latent connections of nodes,an adaptive graph connection constructor is designed.The experimental results with the real-world operational dataset in Guangdong-Hong Kong-Macao Greater Bay Area,China,validate that the proposed approach outperforms the state-of-the-art machine-learning and deep-learning based baseline approaches in performance.
文摘The target of software engineering is to produce high quality software product at low cost. Software testing is labour-intensive, ambiguous and error prone activity of software development. How to provide cost-effective strategies for software test cases optimization problem such as classification, minimization, selection, and prioritization has been one of the research focuses in software testing for a long time. Many researchers and academicians have addressed the effectiveness/fitness and optimization of test cases, and obtained many interesting results. However, one issue of paramount importance in software testing i.e. the intrinsic imprecise and uncertainty of test cases fitness, fitness parameters, multi-objective optimization, is left unaddressed. Test cases fitness depends on several parameters. Vagueness of fitness of test cases and their fitness parameters have created the uncertainty in test cases optimization. Cost and adequacy values are incorporated into multi-faceted optimization of test cases. This paper argues test cases optimization requires multi-faceted optimization in order to adequately cater realistic software testing. In this paper, authors have identified several parameters for test cases fitness and multiple objectives for test cases optimization. In addition above, authors have formulated the test cases optimization problem in three different ways using multi-faceted concept. These formulations can be used in future by authors and researchers.
基金the Project"The Basic Research on Internet of Things Architecture"supported by National Key Basic Research Program of China(No.2011CB302704)supported by National Natural Science Foundation of China(No.60802034)+2 种基金Specialized Research Fund for the Doctoral Program of Higher Education(No.20070013026)Beijing Nova Program(No.2008B50)"New generation broadband wireless mobile communication network"Key Projects for Science and Technology Development(No.2011ZX03002-002-01)
文摘Sensors are ubiquitous in the Internet of Things for measuring and collecting data. Analyzing these data derived from sensors is an essential task and can reveal useful latent information besides the data. Since the Internet of Things contains many sorts of sensors, the measurement data collected by these sensors are multi-type data, sometimes contai- ning temporal series information. If we separately deal with different sorts of data, we will miss useful information. This paper proposes a method to dis- cover the correlation in multi-faceted data, which contains many types of data with temporal informa- tion, and our method can simultaneously deal with multi-faceted data. We transform high-dimensional multi-faeeted data into lower-dimensional data which is set as multivariate Gaussian Graphical Models, then mine the correlation in multi-faceted data by discover the structure of the multivariate Gausslan Graphical Models. With a real data set, we verifies our method, and the experiment demonstrates that the method we propose can correctly fred out the correlation among multi-faceted meas- urement data.
文摘In a world-shocking nuclear disaster occurred at Fukushima in 2011, multi-faceted consequences have manifested in not only direct and indirect but also tangible and intangible way in social, political, and economic domains. At present six year later, original risk issues, such as health, environmental, and financial risks, were complexly connected to each other, and have transformed to the wicked or complicated problems. This paper addresses the following four problems that we are faced with： prolonged evacuation and return to hometown, Tokyo Electric Power Company Holdings issues, nuclear regulatory issues, and nuclear energy policy and business. The authors discuss the reasons why above-noted situations arise from nuclear disaster in terms of endogenous factors embedded in socio-technical nuclear system in Japan and some common causes across the wicked problems. The wicked problems are also closely connected with each other, and become super-wicked problem. Among others, Japan＇s energy transition policy aiming at low carbon society tends to deviate politically and now at crossroad. Finally, the authors describe some perspectives and challenges required to govern interconnected events, as lessons learned from the Fukushima nuclear disaster.
基金The authors gratefully acknowledge that this work is a result of the Dagstuhl Seminar 19192 on Visual Analytics for Sets over Time and Space(Fabrikant et al.,2019)Dagstuhl seminars are funded by the Leibniz Association,Germany.Sara Irina Fabrikant gratefully acknowledges funding from the European Research Council(ERC),under the GeoViSense Project,Grant number 740426.
文摘Visualizing big and complex multivariate data is challenging.To address this challenge,we propose flexible visual analytics(FVA)with the aim to mitigate visual complexity and interaction complexity challenges in visual analytics,while maintaining the strengths of multiple perspectives on the studied data.At the heart of our proposed approach are transitions that fluidly transform data between userrelevant views to offer various perspectives and insights into the data.While smooth display transitions have been already proposed,there has not yet been an interdisciplinary discussion to systematically conceptualize and formalize these ideas.As a call to further action,we argue that future research is necessary to develop a conceptual framework for flexible visual analytics.We discuss preliminary ideas for prioritizing multi-aspect visual representations and multi-aspect transitions between them,and consider the display user for whom such depictions are produced and made available for visual analytics.With this contribution we aim to further facilitate visual analytics on complex data sets for varying data exploration tasks and purposes based on different user characteristics and data use contexts.
文摘美国作家霍桑的作品在中国的译介活动始于20世纪初,现今已有百余年的历史。通过分析霍桑文学作品A Wonder Book for Girls and Boys以及短篇小说从1913年至1949年在中国的译介,论述霍桑文学作品在译介过程中文学性的接受与隐匿,探索霍桑作品在中国被选择性接受的实质缘由,展示出中国读者最早对于霍桑作品理解的多面性和矛盾性。
