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How have embedded computers and the IoT impacted your daily life? What additional uses can you see yourself using? What security

Zigmanuir [339]

NOTE: Before discussing the impacts of embedded computers and the IoT, first, let me briefly explain what both of them are in simple words (without any complex jargon) for a better understanding.

Embedded computers are the programmable controllers (or loosely speaking, chips) designed to perform specific or dedicated tasks within a device. They take input (from sensors etc.), process it in a predefined steps (or instructions) and give an output.

The IoT, on the other hand, is the Internet of Things. It is the system of interconnected things that can communicate with one another directly over the network (internet). The word Things in the IoT incorporates an array of objects ranging from devices like digital and security cameras, wearable watches, GPS navigation systems, washing machines, refrigerators to buildings and even cities.

All in all, embedded computers enable the things with the automation capabilities, while the IoT empowers those things with the communication abilities.

(1) Impacts of Embedded Computers and the IoT

In the current era, almost all devices around us have embedded computer(s). Not only that, many of those devices have an ability to connect to the Internet through WiFi. The impacts of embedded computers and the IoT together can easily be understood by the some of the examples, as follows:

Nowadays, we have smart washing machines that not only be able to rinse, wash and dry clothes automatically, economically and efficiently—thanks to the embedded computers—but they can also be controlled remotely or can also send a notification to a mobile phone by the virtue of the IoT. It saves our energy (by automatically washing the clothes), our money (by efficiently using the detergent), resources (by rinsing and washing the clothes with the amount of water required—water conservation) and our time (by being controlled remotely or by sending a notification on a mobile phone when it’s done instead of us checking up its progress every ten minutes or so). In the past, however, laundry used to be done manually, which was not only a time consuming and tiring task, but it was also an ineffective way for the resource conservation.
Finding a nearby cab is now in the palm of our hands. Modern cab service providers, via their mobile applications, share the location of their cabs, in which the GPS navigation system (consists of GPS module and the embedded computer(s), connected with the internet). Hence, without any hassle, a nearby cab can be arranged and also at any time. The same applies on the most, modern bus services. Before that, one had to be physically on the road to find the cab with no surety of getting one. Now, beforehand, you can book your ride.
Smart door locking systems and smart security cameras inside or outside homes are able to notify the authorities or to the owners in the case of intrusion, and, thus, making lives and possessions safe and secure. Previously, although security cameras and locking systems were there, they couldn’t communicate with other devices (like mobile phones) remotely. A person had to be physically in the house to see the camera feed or to hear the intrusion alarm.
Embedded computers and the IoT is revolutionising the quality of life in terms of health. The IoT based smart-bands or watches can continuously monitor the blood pressure and heart rate in real time through the IoT based devices with embedded computers connected with the sensors. In the case of emergency, those IoT based devices send a notification to the emergency contacts. In the past, there was no way of checking your ECG at home—let alone the question of automatically sending ECG report to the emergency contacts.

In a nutshell, embedded computers and the IoT have impacted our daily lives in a meaningful and constructive way.

(2) Additional Uses

Well, this part of the question cannot be answered in a generic way; therefore, let me give you my opinion on that.

I am seeing myself using the IoT based learning devices like Google Nest thermostat. It uses machine learning to automatically set the optimal temperature of the home.

Ease: To change the temperature, there is no need to be physically there where the thermostat is installed.

Saving: It automatically turns off when there is no person in the home, which is a big plus for saving some extra bucks.

Furthermore, I can see myself using the smart IoT based weight machine that would warn me to stop getting out of shape based on my weight; in the case of non-compliance, it would send my weight as a post to all of my social media accounts. ;)

(3) Security or Other Risks

The privacy would be the major concern (and could be compromised with the usage of IoT). As in the IoT based systems, everything is connected to the internet. Therefore, all the cybersecurity risks and issues are applied on the IoT as well.

The more IoT based devices increase in number, the more the complexity of handling those devices would increase, which may become a bane instead of a boon to a user.

6 0

3 years ago

A survey by the World Bank indicates that of the companies surveyed; unfortunately, only 30 percent have board-approved policies

creativ13 [48]

Answer:

False

Explanation:

It is not necessary to have board-approved policies on environmental management as the only way to indicate that corporate social responsibility practices have become an insignificant factor in determining where multinational corporations conduct business.

7 0

3 years ago

Use the information from the balance sheet and income statement below to calculate the following ratios:

Marina86 [1]

Answer:

a. Current Ratio = current assets / current liabilities = 190,000 / 153,000 = 1.24

b. Acid-test ratio = (current assets - inventory) / current liabilities = (190,000 - 50,000) / 153,000 = 0.92

c. Times interest earned = EBIT / interest expense = 65,000 / 8,000 = 8.13

d. Inventory turnover = COGS / inventory = 90,000 / 50,000 = 1.8

e. Total asset turnover = net sales / total assets = 210,000 / 525,000 = 0.4

f. Operating profit margin = operating income / total sales = 65,000 / 210,000 = 0.31

g. Days in receivables = (accounts receivables / total sales) x 365 = (30,000 / 210,000) x 365 = 52.14 days

h. Operating return on assets = operating income / total assets = 65,000 / 525,000 = 0.12

i. Debt ratio = total liabilities / total assets = 273,000 / 525,000 = 0.52

j. Fixed asset turnover = total sales / fixed assets = 210,000 / 335,000 = 0.63

k. Return on equity = net income / total equity = 45,030 / 252,000 = 0.18

4 0

2 years ago

An employee has gross earnings of $1,200 and withholdings of $91.80 for social security and medicare taxes and $120 for income t

satela [25.4K]

Given the following parameters:

The employer pays the employee (gross earnings) – $1,200

The employer pays for social security and medicare taxes – $91.80

The employer pays for the Federal Unemployment Tax Act (FUTA) – $9.60

The employer pays for the State Unemployment Tax Act (SUTA) – $64.80

The total cost of this employee to the employer is the summation of all these costs
1,200 + 91.80 + 9.60 + 64.80 = $1366.20

3 0

2 years ago

What is Jensen's alpha of a portfolio comprised of 45 percent portfolio A and 55 percent of portfolio B? Portfolio Average Retur

inn [45]

Answer:

The Jensen's alpha of a portfolio comprised of 45 percent portfolio A and 55 percent of portfolio B = 2.04 %

Explanation:

Solution

Given that:

Now,

The Jensen’s alpha of a Portfolio is computed by applying the formula below:

Jensen's alpha = Portfolio Return − [Risk Free Rate of Return + ( Portfolio Beta * (Market Rate of Return − Risk Free Rate of Return ) ) ]

For the information given in the question we have the following,

The Risk free rate of return = 3. 1%

In order to find the Jensen’s alpha we have to first get the following from the information given in the question :

1. Portfolio Return

2. Portfolio Beta

3.Market Rate of Return

Thus,

(A)Calculation of Portfolio Return :

The formula for calculation of Portfolio Return is given as:

E(RP) = ( RA * WA )+ ( RB * WB )

Where

E(RP) = Portfolio Return

RA = Average Return of Portfolio A ; WA = Weight of Investment in Portfolio A

RB = Average Return of Portfolio B ; WB = Weight of Investment in Portfolio B

For the information given in the question we have the following:

RA = 18.9 %, WA = 45 % = 0.45, RB = 13.2 %, WB = 55 % = 0.55

By applying the values in the formula we have

= ( 18.9 % * 0.45 ) + ( 13.2 % * 0.55 )

= 8.5050 % + 7.2600 % = 15.7650 %

(B). Calculation of Portfolio Beta:

Now,

The formula for calculating the Portfolio Beta is

ΒP = [ ( WA * βA ) + ( WB * βB ) ]

Where,

βP = Portfolio Beta

WA = Weight of Investment in Portfolio A = 45 % = 0.45 ; βA = Beta of Portfolio A = 1.92

WB = Weight of Investment in Portfolio B = 55 % = 0.55 ; βB = Beta of Portfolio B = 1.27

By Applying the above vales in the formula we have

= ( 0.45 * 1.92 ) + ( 0.55 * 1.27 )

= 0.8640 + 0.6985

= 1.5625

(C). Calculation of Market rate of return :

Now,

The Market Risk Premium = Market rate of return - Risk free rate

From the Information given in the Question we have

The Market Risk Premium = 6.8 %

Risk free rate = 3. 1 %

Market rate of return = To find

Then

By applying the above information in the Market Risk Premium formula we have

6.8 % = Market rate of Return - 3.1 %

Thus Market rate of return = 6.8 % + 3.1 % = 9.9 %

So,

From the following information, we gave

Risk free rate of return = 3.1% ; Portfolio Return = 15.7650 %

The Portfolio Beta = 1.5625 ; Market Rate of Return = 9.9 %

Now

Applying the above values in the Jensen’s Alpha formula we have

The Jensen's alpha = Portfolio Return − [Risk Free Rate of Return + ( Portfolio Beta * (Market Rate of Return − Risk Free Rate of Return )) ]

= 15.7650 % - [ 3.1 % + ( 1.5625 * ( 9.9 % - 3.1 % ) ) ]

= 15.7650 % - [ 3.1 % + ( 1.5625 * 6.8 % ) ]

= 15.7650 % - [ 3.1 % + 10.6250 % ]

= 15.7650 % - 13.7250 %

= 2.0400 %

= 2.04 % ( when rounded off to two decimal places )

Therefore, the Jensen's alpha of a portfolio comprised of 45 percent portfolio A and 55 percent of portfolio B = 2.04 %

7 0

3 years ago