Looking for an old paper on a circuit-board information retrieval system implementation?

I am interested in examples of how the data revolution is already being used to drive more sustainable cities as well as ideas of new ways to leverage the data revolution for more sustainable and equitable cities. One of the main contributions of the data revolution id the creation of new data. My question is intended to ask - how such new alternative data could better inform approaches to solving the major sustainability challenges facing cities e.g. building energy inefficiency, inequitable access to waste, transport, housing, and other critical services by the poor, and excessive un-sustainable consumption by the rich. Do researchers have good examples of how alternative data from social media and data exhaust has been used to inform sustainability challenges? Thanks.

For several years, there are commercially-operating companies that collect data collected, for example, from social media portals.

This data contains information collected from posts, entries, comments, recordings, etc. posted by millions of users of social media portals.

Data is collected and processed in Big Data database systems. Sentiment analysis carried out on these data allows you to generate reports that are used in business, for example in marketing.

From these reports, the clients of the above-mentioned technology companies learn, for example, about how the recognition of their brand changes over time, what opinions about the products and services offered, etc., dominate.

But if the Big Data database resources analyzed in this way are mainly information collected from social media portals, do the generated reports have the advantages of objectivity?

Considering the current resources of the Internet, are the majority of comments on products, services, companies, institutions, etc. being entered on various websites at the moment? Are comments posted on social media portals?

In recent years, the field of research and business applications in the field of obtaining, archiving, analyzing and processing data in Big Data database systems has been developing strongly.

In many companies, especially in large corporations, integrated risk management systems are built and improved.

Integrated risk management systems combine risk management processes in various areas of a company, institution or other organization.

One of the areas of risk management, the importance of which in many companies is growing, is risk management in the area of ​​obtaining, archiving, analyzing and processing data in Big Data database systems.

In view of the above, I am asking you: Are the risk management instruments and models for the acquisition, archiving, analysis and processing of data in Big Data systems already being developed? Are you already familiar with examples of this type of systems with risk management risk, which concern the acquisition, archiving, analysis and processing of data in Big Data systems? Please reply

I want to arrange documents for automatic e-learning which suggest new topics to students.

I obtained an EIS data when I am doing research on biopolymers for corrosion inhibition. But I can not find a good fit of equivalent circuit. Could any body help me with it?

I have attached the data file in which the first column is the frequency, the second column is the Z' and the third column is the Z''.

Big Data and Data Science have continued to emerge among practitioners and researchers. But the foundation of these concepts involve large volumes and a variety of data created at high velocity. Hence, the focus have generally been on bigger organisations that generate such data. However, small and medium sized organisations are also active adopter of ICT. Can Big Data and Data Science benefit small and medium enterprises as well and how?