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  • Open Access

    ARTICLE

    Visualization Research and Application of Water Quality Monitoring Data Based on ECharts

    Yifu Sheng1, Weida Chen, Huan Wen1, Haijun Lin1, Jianjun Zhang1, *

    Journal on Big Data, Vol.2, No.1, pp. 1-8, 2020, DOI:10.32604/jbd.2020.01001 - 07 September 2020

    Abstract Water resources are one of the basic resources for human survival, and water protection has been becoming a major problem for countries around the world. However, most of the traditional water quality monitoring research work is still concerned with the collection of water quality indicators, and ignored the analysis of water quality monitoring data and its value. In this paper, by adopting Laravel and AdminTE framework, we introduced how to design and implement a water quality data visualization platform based on Baidu ECharts. Through the deployed water quality sensor, the collected water quality indicator data More >

  • Open Access

    ARTICLE

    User Behavior Path Analysis Based on Sales Data

    Wangdong Jiang, Dongling Zhang*, Yapeng Peng, Guang Sun, Ying Cao, Jing Li

    Journal of New Media, Vol.2, No.2, pp. 79-90, 2020, DOI:10.32604/jnm.2020.010088 - 21 August 2020

    Abstract With the rapid development of science and technology and the increasing popularity of the Internet, the number of network users is gradually expanding, and the behavior of network users is becoming more and more complex. Users’ actual demand for resources on the network application platform is closely related to their historical behavior records. Therefore, it is very important to analyze the user behavior path conversion rate. Therefore, this paper analyses and studies user behavior path based on sales data. Through analyzing the user quality of the website as well as the user’s repurchase rate, repurchase More >

  • Open Access

    ARTICLE

    COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

    Yixian Zhang1, Jieren Cheng2, *, Yifan Yang2, Haocheng Li2, Xinyi Zheng2, Xi Chen2, Boyi Liu3, Tenglong Ren4, Naixue Xiong5

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1415-1434, 2020, DOI:10.32604/cmc.2020.011316 - 30 June 2020

    Abstract With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions. We designed and implemented the COVID-19 public opinion monitoring system based on time series thermal new word mining. A new word structure discovery scheme based on the timing explosion of network topics and a Chinese sentiment analysis method for the COVID-19 public opinion environment are proposed. Establish a “Scrapy-Redis-Bloomfilter” distributed crawler framework to collect data. The system can judge the positive and negative emotions of the reviewer based on the comments, More >

  • Open Access

    ARTICLE

    Solute Removal Analysis of a Large-scale Fracture Plane Considering Different Flow Paths and Different Hydraulic Head Differences

    Qian Yin1,2, Xiaojing Li3,*, Liyuan Yu1, Ming He1, Richeng Liu1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 345-373, 2020, DOI:10.32604/cmes.2020.08204 - 19 June 2020

    Abstract An experimental and numerical study was carried out to investigate the solute removal process through a large-scale fracture plane considering different flow paths and hydraulic head differences. The visualization techniques were utilized in the experiment to capture the removal process images, which were then transferred to binary images. The variations in dimensionless concentration, which is defined as saturation of solute phase, were analyzed. With increasing hydraulic head difference, the speed of solute removal increases and the dimensionless concentration decreases. The flow paths result in different solute distribution patterns and different mechanisms for solute removal such… More >

  • Open Access

    ARTICLE

    Modeling Tracer Flow Characteristics in Different Types of Pores: Visualization and Mathematical Modeling

    Tongjing Liu1, 2, *, Weixia Liu3, Pengxiang Diwu4, Gaixing Hu5, 6, Ting Xu1, 7, Yuqi Li2, Zhenjiang You8, Runwei Qiao2, Jia Wang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1205-1222, 2020, DOI:10.32604/cmes.2020.08961 - 28 May 2020

    Abstract Structure of porous media and fluid distribution in rocks can significantly affect the transport characteristics during the process of microscale tracer flow. To clarify the effect of micro heterogeneity on aqueous tracer transport, this paper demonstrates microscopic experiments at pore level and proposes an improved mathematical model for tracer transport. The visualization results show a faster tracer movement into movable water than it into bound water, and quicker occupancy in flowing pores than in storage pores caused by the difference of tracer velocity. Moreover, the proposed mathematical model includes the effects of bound water and… More >

  • Open Access

    ARTICLE

    Building Information Modeling-Based Secondary Development System for 3D Modeling of Underground Pipelines

    Jun Chen1, *, Rao Hu2, Xianfeng Guo3, Feng Wu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 647-660, 2020, DOI:10.32604/cmes.2020.09180 - 01 May 2020

    Abstract Underground pipeline networks constitute a major component of urban infrastructure, and thus, it is imperative to have an efficient mechanism to manage them. This study introduces a secondary development system to efficiently model underground pipeline networks, using the building information modeling (BIM)-based software Revit. The system comprises separate pipe point and tubulation models. Using a Revit application programming interface (API), the spatial position and attribute data of the pipe points are extracted from a pipeline database, and the corresponding tubulation data are extracted from a tubulation database. Using the Family class in Revit API, the More >

  • Open Access

    ARTICLE

    Visualization Analysis for Business Performance of Chinese Listed Companies Based on Gephi

    Guang Sun1, Hongzhang Lv1, *, Dianyu Wang2, Xiaoping Fan1, 3, Yi Zuo1, Yanfei Xiao4, Xu Liu1, Wenqian Xiang1, Ziyi Guo1

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 959-977, 2020, DOI:10.32604/cmc.2020.08619 - 01 May 2020

    Abstract When conducting company performance evaluations, the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market. Gephi is an efficient tool for data analysis and visualization in the era of big data. It can convert the evaluation results of all listed companies into nodes and edges, and directly display them in the form of graphs, thus making up for the defects of traditional methods. This paper will take all the listed companies in the Shanghai and Shenzhen Stock Exchange as the analysis object. First uses tushare and web… More >

  • Open Access

    ARTICLE

    On Visualization Analysis of Stock Data

    Yue Cai1, Zeying Song1, Guang Sun1, *, Jing Wang1, Ziyi Guo1, Yi Zuo1, Xiaoping Fan1, Jianjun Zhang2, Lin Lang1

    Journal on Big Data, Vol.1, No.3, pp. 135-144, 2019, DOI:10.32604/jbd.2019.08274

    Abstract Big data technology is changing with each passing day, generating massive amounts of data every day. These data have large capacity, many types, fast growth, and valuable features. The same is true for the stock investment market. The growth of the amount of stock data generated every day is difficult to predict. The price trend in the stock market is uncertain, and the valuable information hidden in the stock data is difficult to detect. For example, the price trend of stocks, profit trends, how to make a reasonable speculation on the price trend of stocks More >

  • Open Access

    ARTICLE

    The Analysis of China’s Integrity Situation Based on Big Data

    Wangdong Jiang1, Taian Yang1, *, Guang Sun1, 3, Yucai Li1, Yixuan Tang2, Hongzhang Lv1, Wenqian Xiang1

    Journal on Big Data, Vol.1, No.3, pp. 117-134, 2019, DOI:10.32604/jbd.2019.08454

    Abstract In order to study deeply the prominent problems faced by China’s clean government work, and put forward effective coping strategies, this article analyzes the network information of anti-corruption related news events, which is based on big data technology. In this study, we take the news report from the website of the Communist Party of China (CPC) Central Commission for Discipline Inspection (CCDI) as the source of data. Firstly, the obtained text data is converted to word segmentation and stop words under preprocessing, and then the pre-processed data is improved by vectorization and text clustering, finally,… More >

  • Open Access

    ARTICLE

    Water Flow Characteristics and Related Effects in PEMFC

    Mingge Wu1, Lei Wang1, Yixiang Wang1, Cheng Zhang1, Cheng Qiu1, 2, *

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.4, pp. 431-444, 2019, DOI:10.32604/fdmp.2019.08209

    Abstract Water management in proton exchange membrane fuel cells (PEMFC) is a topic of great importance for the optimization of these systems. Effective proton conductivity calls for moderate moisture content in the membrane, while uneven water distribution can lead to instability of the whole flow field, thereby decreasing the performance of the fuel cell. In the present study, a simplified two-tier hybrid structure is used to investigate the impact of the dynamic behavior of liquid water on the current density of the PEMFC. Simulation results show that water droplets attached to wall sides tend to increase More >

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