Answer:
The first question should be "What is the purpose of WLAN ?" .
In order to design a stable and better WLAN user should understand the purpose or intended use of WLAN.
For example : A school's wireless network will be different than the corporate wireless network.
In order to design the WLAN in a better way . User should know following
1. What is the purpose of the WLAN ?
2. How many users will be using it at a time ?
3. How many users will use it over all given a period of time ?
4. What are the common applications being used ?
5. Who will be using the WLAN?
6. Is there any legacy devices that need backward compatibility ?
So unless user doesn't understand the complete purpose and requirement of the WLAN, it is not possible to give the best design for the same. Capacity and Coverage needs to be taken care while designing WLAN.
Explanation:
as explained above.
If you want to support green computing, the most basic thing you can do is reduce your brightness. More light equals more energy consumption. That's why there are websites that are made as exact copies of other websites except they're entirely black because the color black spends less energy. You can also try to fix your things when they get broken instead of throwing them away instantly and buying a new one.
The answer B. a switchboard
Answer:
D. Expert systems
Explanation:
Artificial intelligence (AI) also known as machine learning can be defined as a branch of computer science which typically involves the process of using algorithms to build a smart computer-controlled robot or machine that is capable of performing tasks that are exclusively designed to be performed by humans or with human intelligence.
Artificial intelligence (AI) provides smarter results and performs related tasks excellently when compared with applications that are built using conventional programming.
Generally, there are two (2) main characteristics of artificial intelligence (AI) systems and these include;
I. Non-algorithmic processing.
II. Symbolic processing.
In artificial intelligence (AI), the field of expert systems is the most important applied area because it models human knowledge.
Hence, expert systems represents knowledge as a set of rules.
Although, all expert systems are generally lacking in human capabilities and can only use inference procedures to proffer solutions to specific problems that would normally require human expertise or competence.
Some of the areas where expert systems can be applied are; monitoring, diagnosis, scheduling, classification, design, process control, planning, etc.