检索结果-内蒙古大学图书馆

16th Web Information Systems and Applications Conference, WISA 2019

作者： Li, Qi Fang, Jun Sheng, Jia School of Information North China University of Technology Beijing1000144 China Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data Beijing100144 China

ISBN: (纸本)9783030309510

Accurate identification of power quality (PQ) disturbance sources is the key to solve PQ problems. In order to improve the accuracy of classifying PQ disturbance sources, this paper proposes a data-driven PQ disturbance sources identification method. It takes some PQ data characteristics into account, such as diversity of indicators, non-linearity and time sequence characteristics. Firstly, the massive data are sifted and sampled. Then the feature subset is extracted by the sequence backward selection algorithm after evaluating the feature importance based on random forest (RF). Finally, the data are aggregated at fixed intervals, smoothed by the sliding average method, and put into Long Short-Term Memory (LSTM) network for model learning and prediction. Experimental results demonstrate that the proposed method is more effective than the traditional RF method. © 2019, Springer Nature Switzerland AG.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Hybrid recommendation algorithm based on weighted bipartite graph and logistic regression 2nd

Hybrid recommendation algorithm based on weighted bipartite ...

引用

2nd CCF International Conference on Artificial Intelligence, CCF-ICAI 2019

作者： Song, Wei Shao, Pengwei Liu, Peng School of Information Science and Technology North China University of Technology Beijing100144 China Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data Beijing100144 China

ISBN: (纸本)9789813292970

Bipartite graph-based recommendation is a key topic in the field of recommender systems. Using logistic regression, a new recommendation algorithm based on a bipartite graph is proposed. First, the weights of the bipartite graph and the similarity of users are defined. Then, a recommendation list based on the bipartite graph is generated. Next, items in the recommendation list are re-sorted using the classification results of logistic regression. Furthermore, a balance factor is proposed to measure the accuracy and diversity of a recommender system comprehensively. Experimental results show that the recommendation results of the proposed algorithm are good. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

A Group Recognition Method of Scientific and Technological Personnel based on Relational Graph

A Group Recognition Method of Scientific and Technological P...

引用

International Conference on Service Sciences (ICSS)

作者： Zhuohao Wang Dongju Yang Hanshuo Zhang Institute of Scientific and Technical Information of China Beijing China Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data Data Engineering Institute North China University of Technology Beijing China

ISBN: (数字)9781728185316

ISBN: (纸本)9781728185323

The key problem in the fine management of science and technology is to model the behavior characteristics of scientific and technical personnel and then find groups through various related cooperative relationships. Aiming at the analysis of team relationship of scientific and technical personnel data, this paper proposed a method to recognize the group of scientific and technological personnel based on relational graph. The relationship model of scientific and technological personnel was designed, and based on this, the relational graph was constructed with the relationship identification and extraction from source data. A frequent item mining algorithm based on Hadoop was proposed, which enabled getting the group of scientific and technological personnel by mining and analysis of data in relational graph. In this paper, the proposed method was experimented on both open and private data sets, and compared with several classical algorithms. The results showed that the method proposed in this paper has a significant improvement in execution efficiency.

关键词： databases Filtering algorithms data processing data models Personnel data mining Optimization

来源：评论

学校读者我要写书评

暂无评论

A Platform Service for Passenger Volume analysis on Massive Smart Card data in Public Transportation Domain 15th

A Platform Service for Passenger Volume Analysis on Massive ...

引用

15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2019

作者： Ding, Weilong Wang, Zhe Zhao, Zhuofeng School of Computer Science and Technology North China University of Technology Beijing100144 China Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data Beijing100144 China

ISBN: (纸本)9783030301453

In current public transportation of modern cities, the passenger volume analysis counts the bus passengers in multiple perspectives, and it is significant to optimize the bus scheduling and evaluate transportation capacity. On the smart card data of passengers taking buses, traditional solutions have inherent limitations about long processing delay, inaccuracy result and poor scalability. In this paper, the spatio-temporal correlation with business restrictions is considered, and an effective platform service for passenger volumes analyses are proposed on massive smart card. Our service has been applied in practical usage for three types of passenger volume, and holds minute-level latencies on weekly data with nearly linear scalability in extensive conditions. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Smart cards

来源：评论

学校读者我要写书评

暂无评论

A multidimensional service template for data analysis in highway domain

A multidimensional service template for data analysis in hig...

引用

International Journal of Internet Manufacturing and Services

作者： Ding, Weilong Zou, Jie Zhao, Zhuofeng School of Information and Science and Technology North China University of Technology No. 5 Jinyuanzhuang Road Beijing100144 China Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data No. 5 Jinyuanzhuang Road Beijing100144 China Research Institute of Highway Ministry of Transport No. 8 Xitucheng Road Beijing100088 China Technology Co. Ltd. No. 8 Xitucheng Road Beijing100088 China School of Computer Science and Technology North China University of Technology No. 5 Jinyuanzhuang Road Beijing100144 China Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data No. 5 Jinyuanzhuang Road Beijing100144 China

In highway domain, business analyses are always multidimensional on massive data for the traffic monitor and control. It is tedious to develop data analysis jobs from scratch and is hardly to consider comprehensive factors from requirements. In this paper, we propose a domain specific service template on massive toll data in highway domain. Based on the service template, abundant multidimensional analysis jobs as services can be built and managed flexibly. In a practical project, our method proves the feasibility and advantages by exhaustive experiments and case studies. © 2020 Inderscience Enterprises Ltd.

关键词： Highway traffic control data handling Information analysis Business analysis Domain specific Experiments and case studies Massive data Multi dimensional analysis Practical projects Service templates Traffic monitor

来源：评论

学校读者我要写书评

暂无评论

A Monitoring Mechanism for Electric Heaters Based on Edge Computing 16th

A Monitoring Mechanism for Electric Heaters Based on Edge Co...

引用

16th Web Information Systems and Applications Conference, WISA 2019

作者： Wang, Jing Wang, Zihao Zhao, Ling Institute of Data Engineering North China University of Technology Beijing100144 China Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data North China University of Technology Beijing100144 China

ISBN: (纸本)9783030309510

With the rapid proliferation of IOT sensors, the traditional cloud computing paradigm confronts several challenges such as bandwidth limitation and high latency. Therefore, edge computing paradigm has been paid more attention. In order to guarantee the real-time monitoring of electric heaters, this paper proposes a monitoring architecture combining cloud and edge nodes, and an anomaly detection method and a heating prediction method based on the architecture. Experiments show that the presented monitoring mechanism can reduce response time, improve data transmission efficiency and realize real-time monitoring and management. © 2019, Springer Nature Switzerland AG.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Temporal Dependency Mining from Multi-sensor Event Sequences for Predictive Maintenance 16th

Temporal Dependency Mining from Multi-sensor Event Sequences...

引用

16th Web Information Systems and Applications Conference, WISA 2019

作者： Cao, Weiwei Liu, Chen Han, Yanbo Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data North China University of Technology Beijing China School of Computer Science North China University of Technology Beijing China

ISBN: (纸本)9783030309510

Predictive maintenance aims at enabling proactive scheduling of maintenance, and thus prevents unexpected equipment failures. Most approaches focus on predicting failures occurring within individual sensors. However, a failure is not always isolated. The complex dependencies between different sensors result in complex temporal dependencies across multi anomaly events. Therefore, mining such temporal dependencies are valuable as it can help forecast future anomalies in advance and identifying the possible root causes for an observable anomaly. In this paper, we transform the temporal dependency mining problem into a frequent co-occurrence pattern mining problem and propose a temporal dependency mining algorithm to capture temporal dependency among multi anomaly events. Finally, we have made a lot of experiments to show the effectiveness of our approach based on a real dataset from a coal power plant. © 2019, Springer Nature Switzerland AG.

关键词： Maintenance

来源：评论

学校读者我要写书评

暂无评论

A Distributed Scheduling Framework of Service Based ETL Process 7th

A Distributed Scheduling Framework of Service Based ETL Proc...

引用

7th CCF Academic Conference on Bigdata, CCF Bigdata 2019

作者： Yang, DongJu Xu, ChenYang Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data Beijing China Data Engineering Institute North China University of Technology Beijing China Institute of Scientific and Technical Information of China Beijing China

ISBN: (纸本)9789811518980

The use of service oriented computing paradigm and ETL (Extract-Transform-Load) technology has recently received significant attention to enable data warehouse construction and data integration. Aiming at improving scheduling and execution efficiency of service based ETL process, this paper proposes a distributed scheduling and execution framework for ETL process and a corresponding method. Firstly, add different weights to the ETL process to ensure the loading efficiency of core business data. Secondly, the scheduler selects the executors according to the performance and load, then allocates the ETL process execution request based on the greedy balance (GB) algorithm to make the load of the executor balancing. Thirdly, the executors parses ETL process to ETL services, then selects one or more executors to deploy and execute the ETL service according to the locality-aware strategy, that is, the amount of data involved and the distance of the node network which service involved, which can reduce the network overhead and improve execution efficiency. Finally, the effectiveness of the proposed method is verified by experimental comparison. © Springer Nature Singapore Pte Ltd 2019.

关键词： data integration

来源：评论

学校读者我要写书评

暂无评论

An approach to discovering event correlations among edge sensor services

引用

International Journal of Internet Manufacturing and Services 2020年第4期7卷 358-374页

作者： Liu, Chen Cao, Yunmeng Han, Yanbo Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data North China University of Technology Beijing China Institute of Data Engineering School of Computer Science and Technology North China University of Technology No. 5 Jinyuanzhuang Road Beijing100144 China

In an IoT environment, a surge in sensor data volume has exposed the shortcomings of cloud computing, particularly the limitation of network transmission capability and centralised computing resources. To handle these issues, this paper proposes a service-oriented framework, called as INFOG, to support the dynamic cooperation among sensors with the fog computing paradigm. Proactive data services and service hyperlinks, which are our previous work, are two key abstractions for the INFOG framework. The services are software-defined abstraction of physical sensors. They are deployed in edge nodes in INFOG. And service hyperlinks, encapsulation of service correlations, enable the cooperation of sensors at the software layer. We also propose a frequent sequential pattern-based approach to effectively discover service hyperlinks. Based on the dataset from a real power plant as well as several synthetic datasets, we do lots of experiments to verify the effectiveness and efficiency of our algorithm. © 2020 Inderscience Enterprises Ltd.

关键词： Fog computing

来源：评论

学校读者我要写书评

暂无评论

Security Enhancement via Antenna Selection in MIMOME Channels with Discrete Inputs

Security Enhancement via Antenna Selection in MIMOME Channel...

引用

作者： Ouyang, Chongjun Wu, Sheng Jiang, Chunxiao Cheng, Julian Xiao, Ailing Yang, Hongwen School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Tsinghua Space Center Tsinghua University Beijing China School of Engineering University of British Columbia Kelowna Canada Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data North China University of Technology Beijing China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

Transmit antenna selection (TAS) is an emerging technology in physical layer security. To provide new insights into the achievable secrecy performance of TAS in practical communication systems, this paper investigates the average secrecy rate (ASR) and secrecy outage probability (SOP) under practical modulation schemes in TAS aided multiple-input multiple-output multiple-antenna eavesdropper (MIMOME) wiretap channels over Rayleigh fading. Particularly, this research concentrates more on the square M -ary quadrature amplitude modulation ( M -QAM). Furthermore, in the considered MIMOME channel, a single antenna is selected to transmit the secret message, and selection combining (SC) or maximal-ratio combining (MRC) is utilized at the legitimate receiver and the eavesdropper. Based on this system model, novel expressions for the ASR and SOP are formulated to characterize the secrecy performance of the finite-alphabet driven MIMOME channel. Besides exact analysis, an asymptotic analysis is performed using the considered performance metrics in high signal-to-noise ratio (SNR) regime. Theoretical analyses suggest that the asymptotic ASR and SOP converge to finite constants in high SNR regime due to the discrete constellation constraint, and we find that the asymptotic behaviour of discrete inputs differs from that of Gaussian inputs. Furthermore, we derive concise expressions to characterize the rate of convergence (ROC) of the ASR and SOP, respectively. To unveil more system design insights, we discuss the relationship between the ROC and several important system parameters such as the antenna number and the modulation order. © 1972-2012 IEEE.

关键词： Rayleigh fading

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：