Friday, February 28, 2020
Monday, February 17, 2020
Answer for the Puzzle
Winners:
1. Ananda
S D (4th SEM BSc)
2. Nagendra
N (4th SEM BSc)
3. Malathi
(4th SEM BSc)
Question
Answers:1. No. Unlike the earth, the moon has no global magnetic field.
IoT Based Wild Life Misfortune Tracking Down Using Sensors by Creating an Alert
RAVINDRA
REDDY P M,
2nd year BCA, NCMS
India is a home of most wild life sanctuaries;
Indian biodiversity is home of different kinds of insects, snakes, arthropod,
spiders and much more wild life. The space for wild animals is gradually
decreasing as human are occupying forest area for their selfless activities,
wildlife entering populated areas has recently become common problem in India.
Newer days it creates great loss to property and life when wild animals enter
cities.
We use
latest technology such as (Internet of Things) IoT to create an alert system to
possible wildlife leaving the forest. We propose low cost detectors and simple
board computers to achieve this. We use deterrent such as making loud noise
through speakers which prevents wild animals from leaving the forest. We make
several IoT devices at the periphery of natural reserve to create an alert
system. This system can be also used to find out miscellaneous criminals,
smugglers and people illegally entering the forest. As if this problem
continues at the same manner there would be a huge loss to the country and many
wild and human lives may in danger.
As all we
know recently the issue of wildlife entering human habitats have been increased
in the search of food, it causing panic among the people. The reason behind the
animals entering the human habitats is mainly DEFORSETION where the humans are
cutting the bamboo tress so the elephants are entering the human area and also ILLLEGAL
POUCHING, HUNTING, WATER SCARESITY there are the reason behind this. Human beings are moving to animal habitat for
their shelter, humans are destroying the forest for the purpose of log the
mountains launching into railroads, cutting down grasslands, build fens and
other activities.
To over this
problem we have proposed this device “IoT Based Wild Life Misfortune Tracking
Down Using Sensors by Creating an Alert” by the use of this device we can
easily track down animals which are entering into human habitats by creating a
sound with help of device sensors and it can also identify the illegal
smugglers who are illegally entering the forest.
Sunday, February 16, 2020
NASA Scientist Map Wind Flow Pattern on Mars
Thousif Pasha
BSc-P.M.E (2nd year)
Washington: NASA scientists
have mapped the global wind circulation patterns in the upper atmosphere of
mars 120 to 300 km above the red planet’s surface. The researches, including those from the
university of Maryland, Baltimore country (UMBC) in the US, reprogrammed probes
aboard NASA’S mars atmosphere and volatile evolution (MAVEN) spacecraft to
collect wind measurements on the red planet.
The reprogramming allowed an instrument called the natural gas and mass spectrometer
(NGIMS) Aboard to “swing back and forth like a windshield wiper fast enough,
“the scientists said in a statement. “On
mars, the average circulation is steady, but if you take a snapshot at any
given time, the winds are highly variable,” Benna said. The research team hopes
to figure out whether the same basic process is in action on earth super
atmosphere.
Friday, February 14, 2020
Wednesday, February 12, 2020
SMART DUSTBIN
MOTO
As soon as
you go near dustbin the door of the dust bin will open automatically
COMPONENTS
REQURIED
- Ø Dustbin
- Ø Arduino uno board
- Ø Servo motor
- Ø Ultrasonic sensor
- Ø Jumper wires
- Ø Double sided foam tape
- Ø 2 Soap boxes
- Ø 9V battery
- Ø Sun board
STEPS
- v Take a dustbin and make 2 holes at
one side of the dustbin as the ultrasonic sensor fits into it.
- v Place the sensor from inside the
dustbin and connect the jumper wires to all the pins
- v Cover the ultrasonic sensor with soap
box so that dust you put into dustbin will not affect the sensor
- v Connect the ultrasonic as follows
- o
Connect
the ground of sensor to the ground of Arduino board
- o
Connect
the VCC of sensor to the 5V on Arduino board
- o
Connect
the trig pin to the digital pin 8 in Arduino board
- o
Connect
the echo pin to the digital pin 9 in Arduino board
- v Now paste Arduino board to dustbin
- v Take the sun board and cut it as
shape and size of the top of the dustbin and paste it with cello tape on top
side
- v Cut the sun board to ¾ of its length
- v Paste the servo motor to that ¾ piece
of the sun board by Double sided foam tape
- v Take single side fan stick of servo
motor and stick a strong material to it to flip the door of dustbin
- v Place it to servo motor
- v Now connect the servo motor to the
Arduino uno board as follows
- o
Connect
the brown wire of servo motor to ground
- o
Connect
the red wire to the Vin
- o
Connect
the yellow wire to the digital pin 7
- v Cover the Arduino board with soap box
leaving the power connecting pin and USB port
- v Now paste the 9V battery with Double
sided foam tape
- v Upload the following code to the
Arduino uno board
- v Now connect the 9V battery to Arduino
uno board
- v Paste the prepared sun board to the
top of the dustbin
- v Now your SMART DUSTBIN is ready
Circuit
CODE
#include
<Servo.h>
Servo
servo1;
int trigPin
= 9;
int echoPin
= 8;
long
distance;
long
duration;
void setup()
{
servo1.attach(7);
pinMode(trigPin, OUTPUT);
pinMode(echoPin, INPUT);
}
void loop()
{
ultra();
if(distance <= 100){
servo1.write(90);
delay(5000);
}
else
servo1.write(0);
}
void
ultra(){
digitalWrite(trigPin, LOW);
delayMicroseconds(2);
digitalWrite(trigPin, HIGH);
delayMicroseconds(10);
digitalWrite(trigPin, LOW);
duration = pulseIn(echoPin, HIGH);
distance = duration*0.034/2;
}
Likith.R BCA 2nd year NCMS
Monday, February 10, 2020
Monday, February 3, 2020
Brain computer Interface Technology
SHWETHA S,
2 nd year BCA, NCMS
Brain computer interfaces enables user to control devices with electroencephalographic activity from within the brain. The main goal of the BCI research is to develop intelligent interfaces that allow disabled users to communicate with nanorobots and others. The majority of BCI systems work by reading and interpreting cortically – evoked electro- potentials obtained the electroencephalogram data. A Brain computer Interface allows controlling a computer by brain activity only without the need for muscle. As the power of modern computer grows alongside our understanding of the human brain we move ever closer to making some pretty spectacular science into reality. A Brain computer sometimes called a direct neurol interface or Brain machine interface. Most current BCIs are not invasive. BCIs are slow in comparison with normal human because of the complicity and noisness of the signals used as well as the time necessary to complete reconcition and signal processing.BCI acts as direct control over the activities of all individual neurons by means of nanorobots.Arbitary reador write access to the whole brain. This technology is a method of communication based on voluntary neurol activity generated by the brain and independent of its normal output pathways of peripheral nerves and muscles.
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