scholarly journals MONITORING PHOTOVOLTAIC SYSTEMS LEVERAGING BIG DATA INFRASTRUCTURE

2019 ◽  
Author(s):  
Ștefan PREDA ◽  
Adela BÂRA
2018 ◽  
Vol 4 (2) ◽  
pp. 148-149 ◽  
Author(s):  
Jinjun Chen ◽  
Honggang Wang

Author(s):  
Afolabi Ojerinde ◽  
Philip Adewole

This paper presents human induced crisis management system using big data infrastructure. This approach was motivated by the already established fact that human induced crisis are characterized by velocity, variety and volume. This paper therefore employed Hadoop big data stack, web technology to design and implement a crisis management model. The resulting system comprises analytical engine, custom website and a desktop application called “Channel”. The Hadoop distributed file system was used for data storage in the analytical engine, crisis data were collected via Twitter API and web service generated by the project website using Apache Flume and Channel respectively. Apache Hive was used to analyse the collected data and the analysed result were posted back to custom website using Channel. The system was evaluated using Mean Opinion Score (MOS) to test for its applicability, usability and reliability. The perceived applicability rating of 74%, usability rating of 73% and reliability rating of 57% were obtained. The resulting system provides insight into crisis situation; promote rapid situational awareness, aid policy formulation and monitoring.


The future of any business from banking, e-commerce, real estate, homeland security, healthcare, and marketing, the stock market, manufacturing, education, and retail to government organizations depends on the data and analytics capabilities that are built and scaled. The speed of change in technology in recent years has been a real challenge for all businesses. To manage that, a significant number of organizations are exploring the Big Data (BD) infrastructure that helps them to take advantage of new opportunities while saving costs. Timely transformation of information is also critical for the survivability of an organization. Having the right information at the right time will enhance not only the knowledge of stakeholders within an organization but also providing them with a tool to make the right decision at the right moment. It is no longer enough to rely on a sampling of information about the organizations’ customers. The decision-makers need to get vital insights into the customers’ actual behavior, which requires enormous volumes of data to be processed. We believe that Big Data infrastructure is the key to successful Artificial Intelligence (AI) deployments and accurate, unbiased real-time insights. Big data solutions have a direct impact and changing the way the organization needs to work with help from AI and its components ML and DL. In this article, we discuss these topics.


2021 ◽  
Author(s):  
Victoria Tokareva ◽  
Igor Bychkov ◽  
Andrey Demichev ◽  
Julia Dubenskaya ◽  
Oleg Fedorov ◽  
...  

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