Juan Gu's research while affiliated with Chinese Academy of Surveying and Mapping and other places

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Publications (5)

Fig. 41.1 Key technologies of smart cities
Fig. 41.3 Generic computing architecture for smart cities
Fig. 41.4 Overall architecture of computing for UHI
Application examples of cloud, edge and mobile computing in smart cities
Cloud, Edge, and Mobile Computing for Smart Cities
Chapter
Full-text available
  • Apr 2021
Smart cities evolve rapidly along with the technical advances in wireless and sensor networks, information science, and human–computer interactions. Urban computing provides the processing power to enable the integration of such technologies to improve the living quality of urban citizens, including health care, urban planning, energy, and other as...
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Figure 1: The system diagram of FSBCDM
Figure 2: The flowchart of FSBCDM
Figure 3: Artificial Network 1
Figure 4: Curves of Local Topology Metrics for Artificial Network 2
+16 Figure 6: The result of applying overlapping community detection...
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks
Preprint
Full-text available
  • Apr 2020
Structural hole spanners play key role in information diffusion, community detection, epidemic diseases and rumors spreading, link prediction and viral marketing, the discovery for them is a key research work in the area of social networks. Some scholars have proposed inspired models and methods based on Mathematics, Sociology, and Economics. In th...
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Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks
Article
  • Apr 2020
Structural hole spanners play key role in information diffusion, community detection, epidemic diseases and rumors spreading, link prediction and viral marketing, the discovery for them is a key research work in the area of social networks. Some scholars have proposed inspired models and methods based on Mathematics, Sociology, and Economics. In th...
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Selected big Earth data analytical tools.
Domains supported by big Earth data analytics and exemplary methods and...
Big Earth data analytics: a survey
Article
Full-text available
  • May 2019
Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and other sources. The data embed unprecedented insights and spatiotemporal stamps of relevant Earth phenomena for improving our understanding, responding, and addressing challenges of Earth sciences and applications. In the past years, new technologies...
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Table 1 . Comparison of time cost of each step in the log-mining process.
Table 2 . The processing time of the February 2014 monthly log on...
Figure 7. The workflow of the proposed LogPartitioner.
Figure 7. The workflow of the proposed LogPartitioner. Appl. Sci. 2019,...
Figure 11. The sum of task runtime on each executor.
A Cloud-Based Framework for Large-Scale Log Mining through Apache Spark and Elasticsearch
Article
Full-text available
  • Mar 2019
The volume, variety, and velocity of different data, e.g., simulation data, observation data, and social media data, are growing ever faster, posing grand challenges for data discovery. An increasing trend in data discovery is to mine hidden relationships among users and metadata from the web usage logs to support the data discovery process. Web us...
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Citations

... However, it may take a significant amount of time to determine all pair shortest paths for a large network. Zhang et al. [27] used a community forest model to identify SHS nodes. The authors argued that local features-based metrics cannot identify SHSs in the network. ...
Reference: Discovering Top-k Structural Hole Spanners in Dynamic Networks
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... In past decades, many studies focused on the theories and applications of statistical models and data mining in geoscience (Merriam, 2004;Sagar et al., 2018). In recent years, the fast-growing methods and technologies of big data (Yang et al., 2017(Yang et al., , 2019, cloud computing (Li et al., 2015;He et al., 2019), machine learning (Lary et al., 2016;Bergen et al., 2019;Karpatne et al., 2019), and deep learning (Reichstein et al., 2019) have been widely used in geoscience with achievement of significant outcomes. Many innovative, data-driven discoveries were seen in paleobiology (Peters et al., 2017), paleontology (Fan et al., 2020a), mineralogy (Hystad et al., 2015, water resources (Wen et al., 2018;Sun and Scanlon, 2019), forest cover change (Hansen et al., 2013), and public health (Goovaerts, 2008(Goovaerts, , 2021. ...
Reference: Data science for geoscience: Recent progress and future trends from the perspective of a data life cycle
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... The first package to create is Elasticsearch. Elasticsearch has the ability to index logs and can instantly search for specific records from billions of log records [14]. In Elasticsearch the configuration is done in the /etc/elasticsearch/elasticsearch.yml ...
Reference: The Elastic Stack Ability Test To Monitor Slowloris Attack on Digital Ocean Server
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