Home / Journals / JBD / Vol.1, No.2, 2019
  • Open Access

    ARTICLE

    Application of MES System in Offshore Oil and Gas Field Production Management

    Yong Chen1,*, Weihua Lan1, Chong Wang2
    Journal on Big Data, Vol.1, No.2, pp. 47-54, 2019, DOI:10.32604/jbd.2019.06282
    Abstract In order to solve information island problem of offshore oil and gas field production-related information system, including repetitive reporting and input of data, data isolation of central control system, inadequate follow-up analysis and development to support oil and gas field production management, and so on. Therefore, the introduction of MES (Manufacturing Execution System) production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice. This system utilizes the real-time database combined with relational database to collect the scattered structured data, such as the production process real-time data, production management documents and statistical tables… More >

  • Open Access

    ARTICLE

    Multi-Scale Variation Prediction of PM2.5 Concentration Based on a Monte Carlo Method

    Chen Ding1, Guizhi Wang1,*, Qi Liu2
    Journal on Big Data, Vol.1, No.2, pp. 55-69, 2019, DOI:10.32604/jbd.2019.06110
    Abstract Haze concentration prediction, especially PM2.5, has always been a significant focus of air quality research, which is necessary to start a deep study. Aimed at predicting the monthly average concentration of PM2.5 in Beijing, a novel method based on Monte Carlo model is conducted. In order to fully exploit the value of PM2.5 data, we take logarithmic processing of the original PM2.5 data and propose two different scales of the daily concentration and the daily chain development speed of PM2.5 respectively. The results show that these data are both approximately normal distribution. On the basis of the results, a Monte… More >

  • Open Access

    ARTICLE

    Digital Continuity Guarantee Method of Urban Construction Archives Based on Risk Management

    Ran Ou1,2, Fei Chen1,2, Yongjun Ren1,2,*, Yepeng Liu1,2, Qirun Wang3
    Journal on Big Data, Vol.1, No.2, pp. 71-77, 2019, DOI:10.32604/jbd.2019.06057
    Abstract With the broad application of information technology in urban infrastructure, urban construction has entered the stage of a smart city, forming many electronic records in urban construction. These electronic records play a vital role in the maintenance of urban infrastructure. However, electronic records often change in the process of urban construction. How to preserve the electronic records of urban construction became a significant challenge. In response to this problem, this paper proposes the use of risk-based management techniques to ensure the digital continuity, authenticity, integrity, and availability of electronic records More >

  • Open Access

    ARTICLE

    Application of Ontology in the Web Information Retrieval

    Zimeng Xing1, Lina Wang1,*, Wenbo Xing2, Yongjun Ren3, Tao Li4, Jinyue Xia5
    Journal on Big Data, Vol.1, No.2, pp. 79-88, 2019, DOI:10.32604/jbd.2019.05806
    Abstract In this paper, the research advances of ontology and its application are reviewed firstly. With the development of ontology technology, subject-oriented web information retrieval technology combining ontology has been becoming one of the hot scientific issues. The innovative method of the semantic web technology combined with the traditional information retrieval technology is put forward, and the related algorithm based on ontology for judging the relevancy with different topics is also represented, and has proved to be effective in given experiments. More >

  • Open Access

    ARTICLE

    On Multi-Thread Crawler Optimization for Scalable Text Searching

    Guang Sun1, Huanxin Xiang2, Shuanghu Li1,*
    Journal on Big Data, Vol.1, No.2, pp. 89-106, 2019, DOI:10.32604/jbd.2019.07235
    Abstract Web crawlers are an important part of modern search engines. With the development of the times, data has exploded and humans have entered a “big data era”. For example, Wikipedia carries the knowledge from all over the world, records the real-time news that occurs every day, and provides users with a good database of data, but because of the large amount of data, it puts a lot of pressure on users to search. At present, single-threaded crawling data can no longer meet the requirements of text crawling. In order to improve the performance and program versatility of single-threaded crawlers, a… More >

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