最新刊期

    卷 4 , 期 6 , 2018

      FOCUS

    • Big data driven 5G network and service optimization

      Hequan WU
      Vol. 4, Issue 6, Pages: 2018055(2018) DOI: 10.11959/j.issn.2096-0271.2018055
      摘要:The advent of 5G era will further accelerate the development of mobile data.The source of mobile big data was introduced,and the application direction of big data analysis in 5G network optimization was analyzed.According to the new characteristics of 5G network,the potential applications of big data in 5G networks,such as large-scale antenna and distributed antenna,wireless access network resource management,heterogeneous access network,cloud network,mobile edge computing,terminal and cloud intelligence,SDN and NFV,network slicing,cross-layer joint optimization,source routing optimization,etc.,were systematically expounded.Combined with the characteristics of 5G data,the applications of 5G big data in smart city,smart medicine,smart transportation,industrial Internet were analyzed.  
      关键词:5G;big data;mobile data;network optimization;service optimization   
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      TOPIC:BIG DATA TALENT CULTIVATION AND CURRICULUM DESIGN UNDER THE BACKGROUND OF EMERGING ENGINEERING EDUCATION

    • Yuanzhuo WANG, Jianye YU
      Vol. 4, Issue 6, Pages: 2018056(2018) DOI: 10.11959/j.issn.2096-0271.2018056
      摘要:The rapid development of big data industry has posed a big challenge to cultivate big data talents.How to effectively integrate interdisciplinary and cross-disciplinary knowledge and build a teaching system for big data education is a problem facing the current major construction of big data majors in universities.From the perspective of emerging engineering education,the cultivating requirements of big data talents,curriculum system,teaching material system and practical educating system were discussed.Then some cases of integration of industry,government and university were introduced.Finally,some key points of major construction of big data were discussed.  
      关键词:big data;emerging engineering education;major construction   
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    • Xiongpai QIN, Yueguo CHEN, Cuiping LI, Yunpeng CHAI, Jun XU, Jirong WEN, Xiaoyong DU
      Vol. 4, Issue 6, Pages: 2018057(2018) DOI: 10.11959/j.issn.2096-0271.2018057
      摘要:To adapt to data science and big data talent cultivation requirements of the new era,School of Information,Renmin University of China has reformed its course system in recent years.Three course groups as problem solving,computer system,and data science has been designed.Firstly,the behind idea of the three course groups was presented,then the focus was shifted to the introduction of the first course among the data science course group,i.e.“introduction to data science”,including objective and positioning of the course,course contents,teaching program,access method,and project design.  
      关键词:talent cultivation;big data;data science;course system   
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    • Ziyu LIN
      Vol. 4, Issue 6, Pages: 2018058(2018) DOI: 10.11959/j.issn.2096-0271.2018058
      摘要:The training of big data professionals is the foundation of a new round of scientific and technological contest in the world.Colleges and universities assume the responsibility of training big data talents.As a typical “new engineering” major,the major of big data is still in the exploratory stage in the construction of curriculum system.Firstly,the difficulties in the construction of big data courses were analyzed,and then the big data course system built by Xiamen University was introduced,including introductory courses,advanced courses and training courses.Also the experience and methods of the course construction of the principles and applications of big data technology were introduced,which includes course orientation,training objectives,preparatory knowledge,knowledge partitioning between big data and cloud computing courses,course content and arrangement,teaching material,experimental environment construction,matching resources construction,online service platform,offline training and communication,and so on.  
      关键词:big data;course system;MOOC;public service platform   
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    • Zuping ZHANG
      Vol. 4, Issue 6, Pages: 2018059(2018) DOI: 10.11959/j.issn.2096-0271.2018059
      摘要:In the upsurge of declaration and construction about data science and big data technology professional,the professional training system and related curriculum syllabus have always been the characteristics of various colleges and universities.Aiming at the training objective of introduction to specialty course and the requirements of emerging engineering education,the teaching materials,course orientation and specific teaching contents of introduction to specialty were discussed.By introducing practical teaching into introduction to specialty,it reflects the training objective of professional ability system.Its aim is to form students a good sense of practice at the early stage and have a personal experience with typical technology.The knowledge level and ability requirement of big data professional will be achieved easily after introducing practical teaching into introduction to specialty.  
      关键词:emerging engineering education;big data professional;introduction course;ability system   
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    • Li MA, Yongmei ZHANG
      Vol. 4, Issue 6, Pages: 2018060(2018) DOI: 10.11959/j.issn.2096-0271.2018060
      摘要:The emerging engineering education conforms to the emergence of social and technological development,and presents new challenges to talent training.From the point of view of construction the training of computer majors,the construction of theoretical and practical teaching systems were discussed,and a reference for the training of information professionals under the new subject environment was provided,from the expansion of curriculum content to the practice and training link,and then to the platform of joint training of talents between universities and enterprises.  
      关键词:emerging engineering education;information technology;education architecture   
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      STUDY

    • Air quality estimation based on active learning and Kriging interpolation

      Huijuan CHANG, Zhiwen YU, Zhiyong YU, Qi AN, Bin GUO
      Vol. 4, Issue 6, Pages: 2018061(2018) DOI: 10.11959/j.issn.2096-0271.2018061
      摘要:For the air quality monitoring station,it can only be deployed in a few locations and cannot obtain the air quality information of each location in the city.An air quality estimation algorithm based on active learning and Kriging interpolation was proposed.Firstly,Kriging interpolation was used as the basic air quality estimation algorithm.Secondly,combined with the idea of active learning,the position-first sampling with the highest confidence of the model was searched.Finally,an interpolation model based on active learning was established to select the least position-to-air quality.Sampling was performed to maximize the accuracy of air quality at other locations.The results show that the proposed algorithm can effectively improve the accuracy of air quality estimation,reduce the number of sampling stations and reduce the deployment cost.  
      关键词:Kriging interpolation;air quality index;active learning;spatial interpolation;air quality estimation   
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      FORUM

    • Defining data assets based on the attributes of data

      Yangyong ZHU, Yazhen YE
      Vol. 4, Issue 6, Pages: 2018062(2018) DOI: 10.11959/j.issn.2096-0271.2018062
      摘要:In the background of big data now,it has been widely recognized that data is the key factor of digital economy.Therefore,it is necessary to understand the meaning behind of the definitions of information assets,digital assets and data assets.A survey of information assets,digital assets,and data assets was given.The physical attributes,existence attributes and information attributes of data and data assets were discussed.Based on these attributes,information assets,digital assets and data assets were merged into data assets.Data assets were defined as valuable,measurable and accessible data resources in cyberspace owned by an accounting subject.According to the definition and attributes of data assets,data assets have the characteristics of both tangible assets and intangible assets,current assets and long-term assets.Therefore,data assets should be considered as a new category of assets.  
      关键词:data asset;data resource;big data;digital economy   
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      COLUMN:NATIONAL ENGINEERING LABORATORY FOR BIG DATA

    • Xiaobo LIU, Yangsheng JIANG, Youhua TANG
      Vol. 4, Issue 6, Pages: 2018063(2018) DOI: 10.11959/j.issn.2096-0271.2018063
      摘要:The integrated transportation systems in China are posing key issues such as insufficient service capability for trans-industrial and trans-regional transportation management.To deal with these issues,the construction goal of an innovative“Internet + Environment” platform that uses big data and artificial intelligent technologies to improve the system performance was proposed.The overall technological framework,research and development system,and the construction progress of the platform were introduced.  
      关键词:integrated transportation;big data;innovation platform;National Engineering Laboratory   
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      TREND

    • Several basic questions about data security governance

      YueJin DU
      Vol. 4, Issue 6, Pages: 2018064(2018) DOI: 10.11959/j.issn.2096-0271.2018064
        
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