I’m working on a Computer Science exercise and need support.
In this week’s reading, the concept of 3-F Method is introduced. Discuss the purpose of this concept and how it is calculated. Also perform your own research/analysis using these factors and provide your assessment on whether the United States need to introduce top talents in the field of big data and cloud computing by using bibliometrics.
Please make your initial post with 500 words and two response posts with at least 150 words and should be substantive. A substantive post will do at least TWO of the following:
Ask an interesting, thoughtful question pertaining to the topic
Answer a question (in detail) posted by another student or the instructor
Provide extensive additional information on the topic
Explain, define, or analyze the topic in detail
Share an applicable personal experience
Provide an outside source (for example, an article from the UC Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)
Make an argument concerning the topic.
At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations and references in your post.
Welcome to Week 1 – Here we will start with an introduction to big data and dive into discussing smart cities in more detail. So what is a smart city? Even today, there’s no agreed definition. One thing that’s really clear about smart cities is they’re very specific to a city. The problems we have in one city will be different than in another. Although the categories are similar, how we approach them, the extent of the issue, and the solutions are going to be very specific to each individual city.
Cities are changing rapidly—growing in size and density, creating more waste, and using more resources. To solve the problems these pressures create, city governments need to think different. Smart cities need to use 21st century thinking and technology to enable a better quality of life for their citizens.
Resources to refer
Eyupoglu, C. (2019). Big Data in Cloud Computing and Internet of Things. 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019 3rd International Symposium On, 1–5. https://doi.org/10.1109/ISMSIT.2019.8932815
L. Zhao, Y. Huang, Y. Wang and J. Liu, “Analysis on the Demand of Top Talent Introduction in Big Data and Cloud Computing Field in China Based on 3-F Method,” 2017 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, 2017, pp. 1-3. https://doi.org/10.23919/PICMET.2017.8125463
Saiki, S., Fukuyasu, N., Ichikawa, K., Kanda, T., Nakamura, M., Matsumoto, S., Yoshida, S., & Kusumoto, S. (2018). A Study of Practical Education Program on AI, Big Data, and Cloud Computing through Development of Automatic Ordering System. 2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD), Big Data, Cloud Computing, Data Science & Engineering (BCD), 2018 IEEE International Conference on, BCD, 31–36. https://doi.org/10.1109/BCD2018.2018.00013
Psomakelis, E., Aisopos, F., Litke, A., Tserpes, K., Kardara, M., & Campo, P. M. (2016). Big IoT and social networking data for smart cities: Algorithmic improvements on Big Data Analysis in the context of RADICAL city applications.
Liao, C.-H., & Chen, M.-Y. (2019). Building social computing system in big data: From the perspective of social network analysis. Computers in Human Behavior, 101, 457–465. https://doi.org/10.1016/j.chb.2018.09.040