检索结果-内蒙古大学图书馆

Sensitivity of shoreline-recession forecasts to sediment budget uncertainties

JOURNAL OF COASTAL RESEARCH 2016年第75期000卷 947-951页

作者： de Figueiredo, Salette A. Cowell, Peter J. Univ Fed Rio Grande Inst Oceanog Rio Grande Brazil Univ Sydney Coastal Studies Unit Sydney NSW 2006 Australia

Intrinsic uncertainty associated with the stochastic nature of coastal processes and how they affect sediment budget estimates under present conditions already make predicting coastal change difficult. the possibility that under climate change conditions alteration of wave climate will have direct implications for alongshore transport in future, may complicate even more future forecasts of coastal change in response to sea-level rise. this study exploits the variability in sediment budgets along the Rio Grande do Sul coastal plain, in southern Brazil, to provide an experimental framework to evaluate the significance of such uncertainties in coastal response under the rising sea levels rates predicted for the next century. the analysis involved quantifying the variation in coastal recession sensitivity between different sectors along the coast (coastal cells), through the application of RanSTM (Random Shoreface Translation Model) using two different scenarios for the sediment-budget parameter. Sediment budget parameter was estimated based on historical shoreline changes and Holocene barrier stratigraphic data. the results show that forecasts for lower-magnitude coastal recession associated with more likely impacts (e.g. 90% risk) are more susceptible to uncertainties in littoral sediment budgets than high-magnitude less likely impacts (e.g. 10% risk). this is especially the case for coastal cells with low dune dimensions because in general such dunes have less capacity to buffer coastal-erosion effects. the reduced effect on high-end forecasts with respect to sediment budget uncertainties therefore favors better confidence in the forecasts.

关键词： Sea level rise large scale processes coastal response

来源：评论

学校读者我要写书评

暂无评论

large-scale computational experiments for complex enterprise systems behaviour prediction

Large-scale computational experiments for complex enterprise...

引用

14th IFAC symposium on Information Control Problems in Manufacturing, INCOM'12

作者： Babiceanu, Radu F. Department of Systems Engineering University of Arkansas at Little Rock Little Rock AR 72204 United States

ISBN: (纸本)9783902661982

this work comes as a contribution to the efforts that are undergoing within engineering systems community to account for the increased complexity of today's manufacturing or service systems. these systems are becoming more and more complicated due to the increase in the number of elements, interconnections within the system, and necessary integration with other systems. Moreover, through the emphasis on self-organization and considering the multi-stakeholders context and objectives, these systems are crossing the line towards complexity. there is a need for developing a framework to be used in modeling, analysis, and integration of systems that operate in uncertain environments, in which characteristics such as adaptation, self-organization and evolution, or in other words behavior prediction, need to be addressed. the proposed complex enterprise systems framework combines knowledge coming from complex systems science and systems engineering domains, and uses computational intelligence and agent-based systems simulation methodologies. the approach requires computational experience in manipulating large amounts of data and building large-scale simulation models. A significant result to be made possible by this research is that systems may no longer have a fixed, life-cycle long, design based on identified requirements;systems will be engineered to evolve and adapt as needed during the operational phase, while respecting their operational environment constraints. © 2012 IFAC.

关键词： Life cycle

来源：评论

学校读者我要写书评

暂无评论

An efficient query mechanism of data provenance based on dependency view

An efficient query mechanism of data provenance based on dep...

引用

International symposium on Communications and Information Technologies (ISCIT)

作者： Xin Gao Xuan Sun The National Computer Network Emergency Response Technical Team/Coordination Center of China Peking China School of Information Management Beijing Information Science & Technology University Peking China

ISBN: (纸本)9781479944156

data provenance is useful for data analysis, including auditing, debugging, evaluating the trust and quality, access control and so on. For the scale of data keep increasing, data provenance also become large and constantly growing, and it brings challenges to the efficiency of provenance tracking which is the important base of data analysis. this paper proposes a kind of dependency view based on OPM to extract a global data provenance description for data process instance with more correlation information among the elements of data provenance, and then provides an efficient query mechanism based on dependency view of data provenance to support provenance tracking by constructing a set of query operations for both forward and backward provenance tracking.

关键词： Collaboration Big data Context Handheld computers Runtime Distributed databases data mining

来源：评论

学校读者我要写书评

暂无评论

Misconfiguration detection for cloud datacenters using decision tree analysis

Misconfiguration detection for cloud datacenters using decis...

引用

Asia-Pacific Network Operations and Management symposium (APNOMS)

作者： Tetsuya Uchiumi Shinji Kikuchi Yasuhide Matsumoto Cloud Computing Research Center Fujitsu Laboratories Limited Kawasaki Kanagawa Japan

Since many components comprising large scale cloud datacenters have a great number of configuration parameters (e.g. hostnames, languages, and time zones), it is difficult to keep consistencies in the configuration parameters. In such cases, misconfigured parameters can cause service failures. For this reason, we propose a misconfiguration detection method for large-scale cloud datacenters, which can automatically determine possible misconfigurations by identifying the relations existing among majority of the parameters using statistical decision tree analysis. We have also developed a pattern modification method to improve the accuracy of the decision tree approach. We evaluated the misconfiguration detection performance of the proposed method by using both artificial data and actual data. the results show that we can achieve higher accuracy (78.6% in the actual data) in misconfiguration detection by using the pattern modification.

关键词： Servers Decision trees Cloud computing Accuracy Monitoring IP networks Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Automated Defect Report Generation for Enhanced Industrial Quality Control 38

Automated Defect Report Generation for Enhanced Industrial Q...

引用

38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th symposium on Educational Advances in Artificial Intelligence

作者： Xie, Jiayuan Zhou, Zhiping Wu, Zihan Zhang, Xinting Wang, Jiexin Cai, Yi Li, Qing Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China South China Univ Technol Sch Software Engn Guangzhou Peoples R China MOE China Key Lab Big Data & Intelligent Robot SCUT Beijing Peoples R China Univ Hong Kong Dept Math Hong Kong Peoples R China

ISBN: (纸本)1577358872

Defect detection is a pivotal aspect ensuring product quality and production efficiency in industrial manufacturing. Existing studies on defect detection predominantly focus on locating defects through bounding boxes and classifying defect types. However, their methods can only provide limited information and fail to meet the requirements for further processing after detecting defects. To this end, we propose a novel task called defect detection report generation, which aims to provide more comprehensive and informative insights into detected defects in the form of text reports. For this task, we propose some new datasets, which contain 16 different materials and each defect contains a detailed report of human constructs. In addition, we propose a knowledge-aware report generation model as a baseline for future research, which aims to incorporate additional knowledge to generate detailed analysis and subsequent processing related to defects in images. By constructing defect report datasets and proposing corresponding baselines, we chart new directions for future research and practical applications of this task.

关键词： Defects

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the Fourteenth International Conference on Management Science and Engineering Management 1

引用

丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Jiuping Xu Gheorghe Duca Syed Ejaz Ahmed Fausto Pedro García Márquez Asaf Hajiyev

ISBN: (数字)9783030498894

ISBN: (纸本)9783030498887

this book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences.;Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. the book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.

关键词： Computational Intelligence Big data/Analytics

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the Fourteenth International Conference on Management Science and Engineering Management 1

引用

丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Jiuping Xu Gheorghe Duca Syed Ejaz Ahmed Fausto Pedro García Márquez Asaf Hajiyev

ISBN: (数字)9783030498290

ISBN: (纸本)9783030498283

this book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences.;Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. the book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, and in the context of privacy violations, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.

关键词： Computational Intelligence Big data/Analytics

来源：评论

学校读者我要写书评

暂无评论

Hierarchical fusion using vector quantization for visualization of hyperspectral images

Hierarchical fusion using vector quantization for visualizat...

引用

International Conference on Information Fusion

作者： Parul Shah M. Jayalakshmi Shabbir N. Merchant Uday B. Desai Department of Electrical Engineering IIT Bombay India Indian Institute of Technology Hyderabad India IIT Hyderabad India

ISBN: (纸本)9781457702679

visualization of hyperspectral images that combines the data from multiple sensors is a major challenge due to huge data set. An efficient image fusion could be a primary key step for this task. To make the approach computationally efficient and to accommodate a large number of image bands, we propose a hierarchical fusion based on vector quantization and bilateral filtering. the consecutive image bands in the hyperspectral data cube exhibit a high degree of feature similarity among them due to the contiguous and narrow nature of the hyperspectral sensors. Exploiting this redundancy in the data, we fuse neighboring images at every level of hierarchy. As at the first level, the redundancy between the images is very high we use a powerful compression tool, vector quantization, to fuse each group. From second level onwards, each group is fused using bilateral filtering. While vector quantization removes redundancy, bilateral filter retains even the minor details that exist in individual image. the hierarchical fusion scheme helps in accommodating a large number of hyperspectral image bands. It also facilitates the midband visualization of a subset of the hyperspectral image cube. Quantitative performance analysis shows the effectiveness of the proposed method.

关键词： Hyperspectral imaging Image fusion Vector quantization Redundancy data visualization Spatial resolution

来源：评论

学校读者我要写书评

暂无评论

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers 38

Near-Optimal Resilient Aggregation Rules for Distributed Lea...

引用

38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th symposium on Educational Advances in Artificial Intelligence

作者： Yi, Yuhao You, Ronghui Liu, Hong Liu, Changxin Wang, Yuan Lv, Jiancheng Sichuan Univ Coll Comp Sci Chengdu Peoples R China Nankai Univ Sch Stat & Data Sci Tianjin Peoples R China KTH Royal Inst Technol Sch Elect Engn & Comp Sci Stockholm Sweden Hunan Univ Sch Robot Changsha Hunan Peoples R China

ISBN: (纸本)1577358872

Byzantine machine learning has garnered considerable attention in light of the unpredictable faults that can occur in large-scale distributed learning systems. the key to secure resilience against Byzantine machines in distributed learning is resilient aggregation mechanisms. Although abundant resilient aggregation rules have been proposed, they are designed in ad-hoc manners, imposing extra barriers on comparing, analyzing, and improving the rules across performance criteria. this paper studies near-optimal aggregation rules using clustering in the presence of outliers. Our outlier-robust clustering approach utilizes geometric properties of the update vectors provided by workers. Our analysis show that constant approximations to the 1-center and 1-mean clustering problems with outliers provide near-optimal resilient aggregators for metric-based criteria, which have been proven to be crucial in the homogeneous and heterogeneous cases respectively. In addition, we discuss two contradicting types of attacks under which no single aggregation rule is guaranteed to improve upon the naive average. Based on the discussion, we propose a two-phase resilient aggregation framework. We run experiments for image classification using a non-convex loss function. the proposed algorithms outperform previously known aggregation rules by a large margin with both homogeneous and heterogeneous data distributions among non-faulty workers.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative analysis of Small and large Communities 38

Addressing Digital and AI Skills Gaps in European Living Are...

引用

38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th symposium on Educational Advances in Artificial Intelligence

作者： Pham, Long O'Sullivan, Barry Scantamburlo, Teresa Mai, Tai Univ Coll Cork Sch Comp Sci & IT Insight SFI Res Ctr Data Analyt Cork Ireland Ca Foscari Univ Dept Environm Sci Informat & Stat Venice Italy Dublin City Univ ADAPT Res Ctr Sch Comp Dublin Ireland

ISBN: (纸本)1577358872

As Artificial Intelligence (AI) continues to permeate various aspects of societies, understanding the disparities in AI knowledge and skills across different living areas becomes imperative. Small living areas have emerged as significant contributors to Europe's economy, offering an alternative to the bustling environment of larger cities for those seeking an improved quality of life. Nonetheless, they often encounter challenges related to digital infrastructure, access to financial resources, and digital skills gaps, limiting their economic and social growth prospects. this study investigates the digital and AI skills gaps in the context of small and large European living areas, shedding light on the potential hindrances to unleashing the full economic and social potentials of these regions in an AI-enabled economy. Drawing from a comprehensive dataset encompassing 4,006 respondents across eight EU countries, this research examines the current perceptions and understandings of AI and digital skills within two distinct population groups: residents of smaller living areas and their counterparts in larger communities. through bivariate analysis, notable insights are revealed concerning trust in AI solutions and entities, self-assessed digital skills, AI Awareness, AI Attitudes and demography variables in both population groups. these insights may refer to the significance of addressing digital and AI skills gaps in fostering growth and preparedness for the AI-driven future. As AI becomes increasingly integral to various aspects of society, targeted interventions and policies are essential to bridge these gaps and enable individuals and communities to harness the transformative potential of AI-enabled economies.

关键词： Population statistics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：