Answer:
we need PLC(Programmable Logic Units) attached to the sensors and those sensors will take the signals/values and transfer them to the cloud .In cloud we store that information and send that information to the web application where user is able to view
Explanation:
it looks like a SCADA system. we can integrate PLC with SCADA
or
for developing PLC we can use c or c++.it contain logic to transfer data to cloud
for cloud storage we can use Microsoft azure which is useful for data storage in sql servers
for web application we can use ASP.Net to interact with cloud and get data from there and display the results to the user on UI
Answer:We start each project to get some business benefits. We design it to achieve users and other stakeholder’s satisfaction. And we build it to improve organization KPIs. But, we live in a world where the project faces many uncertainties. These uncertainties or risks can prevent from achieving our project goals or objectives. So, it is critical that we identify them in time to take care of their effective responses.
The more we know our risks, the more we can evaluate and prioritize them timely for:
Reducing their probable negative impacts, or
Increase their likely positive impacts
We can use Qualitative Risk Analysis and Quantitative Risk Analysis techniques to evaluate and prioritize risks. I see there are a lot of confusions around how these two techniques are different from each other. In this blog, I will address these confusions and differences between these two techniques.
Before we get into the difference between qualitative and quantitative risk analysis/assessment, it is mandatory to understand how we perform risk analysis in projects. Below is the summarized demonstration of the risk analysis:
Explanation:
Answer:
The probability that among three randomly selected Internet users, at least one is more careful about personal information when using a public Wi-Fi hotspot is 0.964
If the survey subjects <em>volunteered</em> to respond , then those with the strongest opinions are most likely respond. The survey sample is then not randomly selected, the survey may have a <em>response bias.</em>
Explanation:
Let P(at least one is more careful about personal information when using a public Wi-Fi hotspot) denote the probability that among three randomly selected Internet users, at least one is more careful about personal information when using a public Wi-Fi hotspot, then we have the equation
P(at least one is more careful about personal information when using a public Wi-Fi hotspot) = 1 - P(none of the selected users is more careful about personal information when using a public Wi-Fi hotspot)
- If 67% of Internet users are more careful about personal information when using a public Wi-Fi, then 33% of them are not.
P(none of the selected users is more careful about personal information when using a public Wi-Fi hotspot) =
≈ 0.036
P(at least one is more careful about personal information when using a public Wi-Fi hotspot) = 1 - 0.036 = 0.964
Answer:
Explanation:
The following code is written in Python. It creates a program that keeps printing out a menu allowing the user to create shapes. These shapes are saved in an array called shapes. Once the user decides to exit, it prints all of the shapes in the array along with their total area. The output can be seen in the attached picture below. Due to technical difficulties, I have added the code as a txt file below.
<h2>Answer:</h2>
<h2>intelligence - centered</h2>
<h2>
Explanation:</h2>
I hope it helps you