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International Journal of Scientific and Research Publications, Volume 9, Issue 2, February 2019 392
ISSN 2250-3153
http://dx.doi.org/10.29322/IJSRP.9.02.2019.p8651
www.ijsrp.org
A Study of Robotic Process Automation Among Artificial
Intelligence
K P Naveen Reddy
1
, Undavalli Harichandana
2
, T Alekhya
3
, Rajesh S M
4
Dept. of computer science and engenering, GITAM school of technology, Banglore ,India
DOI: 10.29322/IJSRP.9.02.2019.p8651
http://dx.doi.org/10.29322/IJSRP.9.02.2019.p8651
Abstract- Robotic process automation (or RPA) is associate
rising type of business process automation technology supported
the notion of software system robots or artificial intelligence (AI)
workers. In traditional workflow automation tools, a software
developer produces inventory actions to automatism a task and
interface to the back-end system exploitation internal application
programming interfaces (APIs) or dedicated scripting language.
In distinction, RPA systems develop the action list by looking at
the user perform that task within the application's graphical user
interface (GUI), and then perform the automation by repetition
those tasks directly with in the GUI. This may lower the barrier
to use of automation in products that may not otherwise feature
arthropod genus for this purpose.
Index Terms- Robots ,Automation theory, Robotic laws,
,Artificial intelligence ,Sensors, Controllers ,Programming .
I. I
NTRODUCTION
hen individuals initially hear the term “Robotic Process
Automation” they could imagine shiny robots sailplaning
around workspace buildings. In reality, this can be simply
software package that may be created to perform the kinds of
administrative tasks that otherwise need to stop-gap human
handling .most operations teams adopting RPA have secure their
employees that automation would not result in layoff. Instead,
staff is redeployed to try doing a lot of fascinating work. One
educational study highlighted that knowledge workers didn’t feel
vulnerable by automation: they embraced it and viewed the
robots as team-mates. Among different technological trends, is
predicted to drive a new wave of productivity and efficiency
gains in the global labor.
The difference between
RPAand traditional business method automation may be likened
to a driverless robotic car versus
a car using control. control merely modulates vehicle
speed, whereas the driverless car is ready to remember, learn,
adapt, and reply to numerous driving things, as an
individual's would. This ability and awareness is
what provides RPA the providng over traditional business and
information technology process automation technology
The hosting of RPA services additionally aligns with the trope of
a software robot, with every robotic instance having its own
virtual workstation, very similar to somebody's employee. The
automaton uses keyboard and mouse controls to require actions
and execute automations. Unremarkably all of those actions
happen in exceedingly virtual surroundings and not on screen;
the robot doesn't would like a physical screen to control, rather it
interprets the screen show electronically. The measurability of
recent solutions supported architectures like these owes a lot of
to the appearance of virtualization technology, while not that the
measurability of enormous deployments would be restricted by
obtainable capability to manage physical hardware and by the
associated prices.
To understand the idea of Robotic process Automation (RPA)
little Illustration like, a team of eleven bank workers was allotted
to manually review on a day to day a pair of,500 high-risk client
accounts to work out whether or not or not payments ought to be
processed or came. It took up to eight hours for these eleven
workers to end the task. The work is currently performed by
twenty computer code robots, whereas the workers are freed to
try and do higher-value work.
II. AI
AND
ROBOTICS
A manufacturing process is basically a stochastic process. An
operator uses his arms, hands, sense, and brain to perform
operations like grasping, holding orienting, inserting, aligning,
fitting, screwing and turning of work pieces of various shapes
and sizes. In small and medium batch production, programmable
automation is adopted. Robots are important aids in
programmable automation. For precision a robot has to interact
with the environment around it in a manner similar to man.
Therefore, a robot should be intelligent if it has to emulate
human capabilities.
An intelligent robot has survived arm and end-effectors, has
sensors and adaptive control functions with the help of computer.
Adaptive control is necessary to correct the errors in position and
orientations of the work pieces and the end-effectors .an
intelligent robot must determine cause and effect phenomena. So
it must detects the faults and minimize their effects. The thinking
processes such as brain function are performed by a computer.
Sensing and effecting are the body functions that can be
performed using the basic laws and axioms of computer science.
In order to accomplish a task, both the brain and the body
function are to be coordinated. So a smart robot must have
artificial intelligence that will differentiate the robot from another
machine.
W
International Journal of Scientific and Research Publications,
ISSN 2250-3153
http://dx.doi.org/10.29322/IJSRP.9.02.2019.p8651
Figure 1: Simplified model of AI/Robotics
Sensing includes seeing, hearing, touching, smelling and
measuring. The sensors gather and produce information. They
have little ability to reason about it.
Effecting can be done by actions. The action can be
accomplished by manipulators using body, arm, wrist, hands,
fingers, legs, wheeled vehicles (mobile
robot) and with various
means of communications.
The components of interpreting, generating and reasoning are
necessary to acquire knowledge about the environment. These
components in fact, recognize, locate and assemble the objects
and may direct the chan
ges in the environments.
Interpreting information is a means to understanding the
environment. However, interpreting information in proper
context in the proper context is necessary. Generating function is
a means to influence the environment. Reasoning is
cope with unforeseen, incomplete, and uncertain and perhaps,
conflict ting information to act or react to the environment.
A. Robotic laws
Sir isaac asimov dealing on the subject of robotics framed three
basic laws which the roboticists still obe
y with respect.the laws
are philosophical in nature,they are as follows
First Law :A robot must not harm a human begin or through
inaction,allow one to come to harm.
Second Law :A robot must always obey human begins unless it
is in conflict with the first law.
Third Law :Arobot must protect itself from harm unless that is
in conflict with the second laws.
B. Types of robot controls
There are different types of controller used in robotics. There are:
1. Drum controllers
2. Air logic controller
3. Programmable controller
4. Micro process –based controller
5. Minicomputer –bade controller
Drum controller
In drum controller, as the drum rotates, it actuates those switches
which are wired to hydraulic or pneumatic valves. Thus, the
manipulator movements are controlled by th
advancement of the drum. It is now obsolete.
Air logic controller
International Journal of Scientific and Research Publications,
Volume 9, Issue 2, February 2019
Figure 1: Simplified model of AI/Robotics
Sensing includes seeing, hearing, touching, smelling and
measuring. The sensors gather and produce information. They
Effecting can be done by actions. The action can be
accomplished by manipulators using body, arm, wrist, hands,
robot) and with various
The components of interpreting, generating and reasoning are
necessary to acquire knowledge about the environment. These
components in fact, recognize, locate and assemble the objects
ges in the environments.
Interpreting information is a means to understanding the
environment. However, interpreting information in proper
context in the proper context is necessary. Generating function is
a means to influence the environment. Reasoning is
a means to
cope with unforeseen, incomplete, and uncertain and perhaps,
conflict ting information to act or react to the environment.
Sir isaac asimov dealing on the subject of robotics framed three
y with respect.the laws
First Law :A robot must not harm a human begin or through
Second Law :A robot must always obey human begins unless it
Third Law :Arobot must protect itself from harm unless that is
There are different types of controller used in robotics. There are:
In drum controller, as the drum rotates, it actuates those switches
which are wired to hydraulic or pneumatic valves. Thus, the
manipulator movements are controlled by th
e rotation
Air logic controller employs a number of pneumatic valves
which in turn control the opening and closing of the main valves
of the robot manipulator in close synchronization with
Programmable controllers
In a programmable controller , the sequential order in which the
switches are to be operated in kept in the memory .it can be
entered into the controller with the help of a keyboard .The
program can also be displayed
on the CRT screen. Programmable
controllers may be wont to control and coordinate numerous
tasks to be done by the peripheral devices as well as robots.
Microprocessor-based controller
The microprocessor based control is the most popular robot
control
system. Microcomputer of various types may be
employed to program the sequential tasks or motions and store
them in its memory. It contains special circuitry to interpret the
programs kept in its memory and at the same time it can also
count the number of
sequential events or tasks accomplished. It
is versatile, programmable and has good memory .point
continuous path and controlled path motions can be easily
programmed in microprocessor –
based robotic system.
Minicomputer-based controller
Robots
having higher payload are manipulated through a
minicomputer-based controller
C.
PROGRAMMING METHODES
Programming of a robot can be done by several methods
•
Lead through programming
•
Teach pendant programming
•
Textual programming using computer terminal
Lead through programming
In this method robot is switched to program mode when the
operant holds the robot manipulator or its wrist and moves it
through a desired path. The robot controller memorizes all the
points so generated. During playback, the robot manipu
describe the same path as taught during learning. Moreover,
editing facility can be provided to compensate for error. Some of
the robots with continuous path control system use joystick. As
the joystick is moves in different axes, the robot manipula
axes follow the motions exactly .speed commands are provided
to increases or decrees the speed of the manipulator.
Teach pendant programming
Teach pendant is the most popular method of programming
industrial robot.
Text programming
Micro computer are
used for programming industrial robots and
different languages has been devolved for both on
line monitoring. Robot software languages include facilities such
as subroutines ,program branching ,interruptions and signaling to
peripheral equipm
ent ,etc. different languages for robot software
system include VAL used in Animation robots, SIGLA used in
sigma robots ,HELP used in pram assembly robots , AUTOPASS
in IBM robots and so on .at present , there are many different
robot programming language
s with various important features
393
www.ijsrp.org
Air logic controller employs a number of pneumatic valves
which in turn control the opening and closing of the main valves
of the robot manipulator in close synchronization with
the timers.
In a programmable controller , the sequential order in which the
switches are to be operated in kept in the memory .it can be
entered into the controller with the help of a keyboard .The
on the CRT screen. Programmable
controllers may be wont to control and coordinate numerous
tasks to be done by the peripheral devices as well as robots.
The microprocessor based control is the most popular robot
system. Microcomputer of various types may be
employed to program the sequential tasks or motions and store
them in its memory. It contains special circuitry to interpret the
programs kept in its memory and at the same time it can also
sequential events or tasks accomplished. It
is versatile, programmable and has good memory .point
-to-point,
continuous path and controlled path motions can be easily
based robotic system.
having higher payload are manipulated through a
PROGRAMMING METHODES
Programming of a robot can be done by several methods
Lead through programming
Teach pendant programming
Textual programming using computer terminal
In this method robot is switched to program mode when the
operant holds the robot manipulator or its wrist and moves it
through a desired path. The robot controller memorizes all the
points so generated. During playback, the robot manipu
lators
describe the same path as taught during learning. Moreover,
editing facility can be provided to compensate for error. Some of
the robots with continuous path control system use joystick. As
the joystick is moves in different axes, the robot manipula
tor
axes follow the motions exactly .speed commands are provided
to increases or decrees the speed of the manipulator.
Teach pendant is the most popular method of programming
used for programming industrial robots and
different languages has been devolved for both on
-line and 0ff-
line monitoring. Robot software languages include facilities such
as subroutines ,program branching ,interruptions and signaling to
ent ,etc. different languages for robot software
system include VAL used in Animation robots, SIGLA used in
sigma robots ,HELP used in pram assembly robots , AUTOPASS
in IBM robots and so on .at present , there are many different
s with various important features
International Journal of Scientific and Research Publications, Volume 9, Issue 2, February 2019 394
ISSN 2250-3153
http://dx.doi.org/10.29322/IJSRP.9.02.2019.p8651
www.ijsrp.org
like flexibility in editing ,interpreting ,compiling, simulating and
debugging facilities.
D. Robot sensors
In order to function effectively, a robot has to receive
information from the environment for necessary manipulations,
send signals to various joints for necessary moments and interact
with the peripheral equipment. The object should not be pressed
had or deformed or slip. Sometimes it’s necessary to have prior
knowledge regarding the form of the object before it’s gripped.
Therefore, it’s needed to sense and measured all the important
geometrical parameters of the object lying in an environment.
Sensory feedback is, of cause, more important for unstructured
environment
Usually there are two basic kinds of sensors for searching,
recognizing, grasping and place the objects .they are tactile and
non-tactile .Tactile sensors are contact sensors that has to brought
connected with the object to get signals to measure the necessary
quantities while non-tactile sensors are contactless sensors that
sense the signals remotely, but only within the required range of
distance from the object. When the tactile sensors make physical
contact with the object, an electrical analog or digital signal is
generated and sends to the robot controller. Electrical signals
may be obtained through the contacts of micro switches .signals
may also be obtained through mechanical pressures which
changes resistances of electrical strain gauges in piezoelectric
crystals
Typical contact type’s robotic sensors include
• Force sensors
• Torque sensors
• Touch sensors
• Position sensors
Non tactile sensors detect and measures magnetic fields, infrared
and ultraviolet light, x-rays, electrical fields, ultrasonic sound
waves or electromagnetic waves
Typically non-contact sensors include
• Electro-optical imaging sensors
• Proximity sensors
• Range imaging sensors
Imaging sensors may use a laser scanner. Computer-vision user
artificial intelligence (AI) to determine cause and affect
phenomena to detect the fault or minimize their effects. Vision –
robots acquire knowledge about the environment by the
interpreting, generating and reasoning components
E. Improved data Analytics
Each task the robot executes
produces data that, once gathered, permits for an analysis. This
drives better decision making within the areas of the processes
being machine-controlled. once data is expeditiously combined,
compared, and contrasted to data collected in different areas,
it permits for better decision making on each a micro and macro
level. As each step in a very process is traced, an organization is
ready to spot gaps wherever processes can
be further optimized to extend potency.
F. Increased efficiency
As software package robots handle the plenty of repetitive,
tedious jobs during a business, employees can participate in
further else activities that involve personal interaction, problem
determination, and deciding.
Robotic process automation permits employees to finish tasks
that are a lot of valuable to the company and its
customers. once employees feel their work is valued and worthy,
their productivity will increase, that will increase work retention
rates. however on the far side having the ability to participate in
additional added activities, employees area
unit higher supported for their added tasks. this
could facilitate increase productivity. Again, a similar volume of
work can be done in less time, thereby permitting downstream
work to begin sooner.
III. ADVANTAGES
Robotic process automation software system and services are
ready to run applications the manner a person's operator would.
Supported rules, the work flow operate automatically
complicated tasks. RPA brings a full form of advantages like:
1) Continuing service: once it involves running real 24/7
service, software package robots emerge as obvious what
they are doing, no need to take breaks while doing tasks.
2) Scalability: The processes fixed for one software robot are
often enlarge to any number of other robots and conversely,
robots are often decommissioned of a process to work on
another one.
3) Truthfulness: Once allotted tasks, robots are designed to
faithfully complete the instructions without failing.
4) Time: Whereas it takes years to implement traditional
projects with humans, it only takes weeks with robots.
5) Improved Efficiency- The wonder of RPA is that it’s
designed to alleviate human employees of their repetitive
daily tasks. once technology handles these tasks and
workflows, the method runs abundant faster and afterwards
works more effectively.
6) Greater Productivity-When technology does the heavy
lifting, as is the case with RPA, output can be considerably
increased.moreover, knowledge employees are going to be
freed up to use their skills and knowledge to further
necessary projects that drive innovation and growth.
7) Elimination of human errors-Even the foremost careful
human worker can make an occasional mistake.
Unfortunately, typically these errors can prove to be
incredibly costly. With robotic process automation
technology, this risk is eliminated, resulting in larger
accuracy.
8) Cost saving- While implementsing robotic process
automation does require an upfront investment, the overall
increase in efficiency and productivity as well as reduction
in human errors quite justify the expense.
9) Lower turnover- once human employees are no longer
slowed down by boring, repetitive and mundane tasks,
satisfaction levels can naturally rise. Furthermore,
employees can appreciate the flexibility to participate in
International Journal of Scientific and Research Publications, Volume 9, Issue 2, February 2019 395
ISSN 2250-3153
http://dx.doi.org/10.29322/IJSRP.9.02.2019.p8651
www.ijsrp.org
additional high-level projects, additionally disposal to larger
worker satisfaction and retention.
IV. DISADVANTAGES
1) Monetary Expense-Budgetary restrictions are among the
most important reasons why businesses are not prefer to
implement RPA.
2) Lack of technical ability- Many of us believes that in
order to leverage robotic process automation, the end
user should possess significant technical ability. This
thought sometimes holds them back from reaping the
various advantages that area unit accessible to them.
3) MajorChange- doping a replacement technology needs
modification, however with the proper tool, the impact
of that change is much less noticeable and disruptive
than many realize.
4) Redundancy- Another common concern of these
resistant to RPA is that the worry that robots will
replace human workers, when its main purpose is to
actually support humans within the work.
V. EXISTING
RPA
TASKS
a) RPA at workplace
While adopting RPA at businesses, it’s actually because they’ve
known issues with their inheritance systems that area unit losing
them time and money. As an example, once a business has an
inefficient manual methodology for commercial document
fulfillment wherever human agents have to be compelled to
manually question the system for brand new orders and
physically validate each, the method isn't solely long and tedious,
however at risk of human errors. With RPA package, the method
might instead operate just like the following:
1. The RPA system automatically pulls data from the client
system, checking for brand new purchase orders, reducing
fulfillment times and increasing productivity.
2. Once a purchase order is downloaded it will be right way
pushed into the legacy system.
3. The agent acts as a “human-in-the-loop” and manually
validates the order for accuracy based on the customer contract.
4. RPA software package then uploads the acquisition order into
a database wherever discounts area unit automatically applied
supported client agreements.
5. Agents then check the consummated order, guaranteeing
quality control and human bit.
6. With additional machine learning capabilities, RPA software
package will begin to find out and adapt to the present method
for even larger gains in potency that over time, would require
less human interaction to make sure accuracy.
By adding RPA to this legacy system, the fulfillment process can
be significantly improved and bottlenecks in productivity,
especially during busy seasons, can be eliminated entirely
resulting in higher client satisfaction.
b) RPA at banking industry
How about we look the more carefully at the banking industry.
RPA systems will effectively perform several tasks related to
loan origination and account management. However, RPA
typically can’t determine if the person making the inquiry is who
they say they are. By analyzing unstructured data (e.g. say,
reviewing a scanned passport image and matching it against a
customer’s account record), machine learning is then able to
create a connection between doing and thinking in an automated
environment.
c) In HR And Business Support - It's Coming
The use of artificial intelligence and advanced analytics are
apparent and mature in industrial settings, whereas in support
functions like unit of time, it's the potential to be even as
revolutionary however the uptake has been a bit slower but the
uptake has been a little slower. For example, in HR, on boarding
the process of hiring new members of staff and putting them to
work following recruitment generally takes around one month,
according to recent research by CareerBuilder. The various
processes taking up references, verifying identities, carrying out
health and safety assessments and ensuring hires have an
understanding of company practices, policies and culture
requires a complex set of actions and toolsets which are not easy
to automate. However, there’s a lot to gain as well as driving
efficiency by cutting down time spent on mundane but vital
processes and compliance, automating tasks like this will free up
skilled workers to apply them more creatively. Finally it doesn’t
mean we will replace HR departments with robots but that
automation will severely augment the jobs people will be doing
in support functions like HR. Parts of the workload dealing with
interpersonal or disciplinary issues still require a human touch.
d) Intelligent process automation(ISP)
The next step within the automation journey is IPA (Intelligent
process Automation). RPA is intended simply to follow
directions, whereas IPA that is created from RPA and AI
(Artificial Intelligence) has the aptitude of learning from
expertise that it then applies to boost on future tasks. Almost
without people noticing, AI is fast becoming part of our daily
life. Examples include the mobile phone ‘personal assistants’
Sire and Cortana; Amazon’s ‘Alexa’ voice service, and several
types of fraud detection software used by banks. Currently AI
remains fairly immature, but evidence suggests that this
disruptive technology will transform many industries, including
insurance. A number of start-ups are capitalizing on this
prediction, for example, the New York-based company
Lemon.ade, which sells insurance using a Chabot Smartphone
app and exploits automated algorithms to great success for
speeding up its claims service. This is one example of AI but for
insurers, the possibilities seem endless. From spotting patterns
and suspicious activity for fraud detection to using virtual
assistants with the addition of chat bots for a more natural
interaction experience and finally self-service robotics, which
provides the capabilities for websites and mobile applications to
be dynamically created, and allow RPA/IPA to serve customer
requests directly. For an industry typically viewed as staid and
old-fashioned, this may present an opportunity for many
insurance companies to rebrand themselves as leaders in digital
innovation.
IPSoft, Inc., and Rage Frameworks Inc. in the US, and Blue
Prism in the UK, are established platforms already in use –
IPSoft describes its product Amelia as follows: “[It] can digest an
International Journal of Scientific and Research Publications, Volume 9, Issue 2, February 2019 396
ISSN 2250-3153
http://dx.doi.org/10.29322/IJSRP.9.02.2019.p8651
www.ijsrp.org
oil-well centrifugal pump manual in 31 seconds – and give
instructions for repairs – and do the job of a call-center operator,
a mortgage or insurance agent, even a medical assistant, with
virtually no human help. Fluent in 21 languages, Amelia
understands implied, not just stated, meanings, and improves
Examples of Existing RPA and AI Products
e) Atos SE has been using RPA to automate IT tasks in
customer legacy infrastructure tasks in functions such
as ticket management, incident management and server
load balancing, which were previously done by
humans.
f) Oracle Policy Automation Cloud Service is described as
RPA software that reads business rules and policies
written in natural language and then, based on those
rules and policies, decides what questions to ask the
customer, performs eligibility checks and produces a
decision report.
g) Ross, touted by its provider as “the world’s first
artificially intelligent lawyer” built on IBM’s Watson.
Designed to understand language, postulate hypotheses
when asked questions, research, and then generate
responses asked questions, research, and then generate
responses (along with references and citations) to back
up its conclusions. Also monitors law around the clock
to notify you of new court decisions that could affect
your case.
h) RPA at business cases
In most industries, the average employee spends up to 80% of
their day on repetitive tasks that don't require creativity or deep
thinking. These mundane tasks are meant to be automated. To
illustrate this, the following are a few of practical business cases:
• Fraud detection: Robots can assist human bank
employees performing background checks and time-
consuming fraud investigations while the employee can
focus on customer satisfaction.
• Form-checking: Robots can handle tedious customer
order-checking to prepare the delivery process. It
decreases the required time and at the same time
reduces the margin of error.
• Claim processing: Robots can review customer claims
and identify who will end up with a refund without
requesting any aid from a human.
• Fax categorizing: Robots can convert fax images to
machine-readable text and then extract data and
categorize faxes.
Artificial intelligence empowers RPA. Many various business
cases for RPA are being realized within innovative companies
from many different industries. Use cases include accounting,
billing management, and customer on boarding, data validation,
customer service inquiry routing, inventory list updating, loan
qualification, risk assessment, and official document validation.
RPA promises to be able to run 24/7 with no stops, no breaks, no
sleeping time, no vacations, and no sick leave, without
forgetting, omitting, misunderstanding, or underestimating errors
and without encountering any problems.
VI. NEW
CAPABILLITES
WITH
RPA
AND
AI
1) Increasing security.
A software robot could be used to execute a process as directed,
without inappropriate data collection, fraudulent intervention or
deviation from prescribed process. – E.g., could be particularly
useful with the most sensitive data such as personal pensions and
administrative affairs of armed forces personnel, or financial
services where having a person access multiple systems could
increase the risk of fraud New Capabilities with RPA and AI.
2) Promoting self-service.
A principal barrier to the adoption of self-service is often
technological Robotic process automation could be used to
provide a means of deploying new self-service solutions where
robots simply mimic the behavior of humans to perform backend
transcription or processing activities
3) Promoting use of big data.
RPA software could be used to collect and organize inconsistent
data from among disparate systems to make it usable by AI for
big data analytics. Helping legacy systems work with cloud-
based systems. For example, RPA software could be used to
enable automated ordering and provisioning of services through a
cloud interface that is translated to work with more traditional
systems.
4) Overcome Geographic Hurdles.
This could create new business opportunities for clients that have
political or regulatory impediments to off shoring their IT
functions or business processes. It could also reduce to need to
relocate operations to take advantage of labor arbitrage.
VII. CONCLUSION
Robotic process automation (RPA) provides advanced software
system robots taking the place humans whenever complicated
processes or routine tasks will be machine-controlled. That being
said, how will artificial intelligence and connected technologies
empower it? As we have a tendency to enter the digital
transformation era, our industries are coverage that their task
forces are operational regarding eightieth of their IT processes
manually, lowering their performance and motivation. At a
similar time, they estimate that a minimum of five hundredth of
those tasks may be automatic.RPA uses software package and
methodologies that are capable of taking advantage of the most
recent technologies together with artificial intelligence, machine
learning, voice recognition, and linguistic communication
process to require automation to future level. That creates it a
requirement for corporations of all industries that wish to convey
their business right along the digital transformation journey.
R
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International Journal of Scientific and Research Publications, Volume 9, Issue 2, February 2019 397
ISSN 2250-3153
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A
UTHORS
First Author – K P NAVEEN
REDDY, pursuing B.Tech degree (CS&E Branch) in GITAM
school of technology, Bangalore campus .I published two article
with name "Closed Form Solutions Of Funcanality of
Windshield Wipers" in IJEE (Volume 10 ,Issue 1) and “
Comparison of Programming Languages: Review” in
IJCSE (Volume 9 Issue 2) which are UGC Recommended
Journals. the research aims are Artificial intelligence ,Robotics,
Machine learning and Big data.
Second Author – UNDAVALLI
HARICHANDANA , pursuing B.Tech degree (CS&E Branch) in
GITAM school of technology, Bangalore campus.The research
interests are robotic process automation , Internet of things and
Artificial intelligence.
Third Author – T ALEKHYA
,pursuing B.Tech degree (CS&E Branch) in GITAM school of
technology, Bangalore campus .The research interests are
artificial intelligence and robotic process automation.
Fourth Author – Mr. RAJESH
Assistant Professor in Department of CS&E, GITAM School of
Technology, Bangalore Campus. Pursing PhD under VTU,
research aims to provide the efficient solution for Security in
Internet of Things. Other areas of interest are Wireless Sensor
Networks, Artificial Intelligence & Robotic Process Automation.
