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Research Proposal on Computing Visual Computing and Robotics

Dr. Nancy Agens, Head,

Technical Operations, Phdassistance

info@phdassistance.com

Keywords: Computer Science,

Engineering, Internet of things (IoT),

Artificial Intelligence, Visual Computing

and Robotics

I. INTRODUCTION

The advancement of the Internet and

cloud computing has pushed the desktop-

based peripheral device into a web-based

Computing Infrastructure. It has

transformed the actual goods or items

principle into facilities. The support and

dedication of several governments and

major tech companies around the world to

create and use cloud computing

environments as an interconnected storage

and connectivity system have contributed to

the rapid growth of various commercial and

mission-critical technologies in the modern

architecture, including the Introduction of

physical devices, which provides the

Internet of Things has unlimited computing

capabilities. Internet of Things (IoT) was

initially suggested and adhered in the Radio

Frequency Identification RFID-tags to

commemorate the Electronic Product

Code (Auto-ID Lab). The IoT idea is

expanded to the globe where physical

artifacts are deeply integrated into the

information system and where physical

artifacts could become actively involved in

business operations. The Internet of

Intelligent Things (IoIT) interacts with smart

devices with sufficient computing

capability. The IoIT is an aspect of dispersed

intelligence (Du Plessis et al., 2015).

As per Intel's study, there are 15

billion systems connected to the Internet, 4

billion of which have the 32-bit processing

power, and 1 billion of those are smart

systems (Steenman, 2012). The Autonomous

Decentralized System (ADS) is a distributed

system consisting of components or

materials intended to function separately but

competent of communicating with each

other to meet the overall objective of the

system. The ADS components are intended

to function in a composable manner and the

data is shared via a content-oriented

protocol. This architecture model allows the

machine to continue to operate in the case of

device failures. It also allows servicing and

restoration to be carried out whilst the

machine is in service. ADS and associated

developments have a broad variety of uses

in automotive production lines, train

signalling and robotics (Mori, 2008). ADS

principles became the basis for subsequent

developments like cloud storage and the

Internet of Things. Robot as a Service

(RaaS) is a cloud computing platform that

enables the seamless incorporation of robots

and integrated devices into network and

cloud computing environments (Chen et al.,

2010; Chen & Zhou, 2015).

Despite service-oriented architecture

(SOA), the RaaS framework comprises

configuration tools, the exploration software

registry and the user's direct access

application clients (Chen & Tsai, 2012). The

new RaaS architecture enables SOAP and

RESTful connectivity between RaaS and

other cloud storage systems. Hardware-

software and specifications are required to

facilitate the introduction of RaaS. For

instance, Devices Profile for Web Services

(DPWS) specifies deployment restrictions

that require safe Web Service messaging,

discovery, definition, and eventing on

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resource-restricted software between Web

services and applications. The latest Intel

IoT-enabled software, such as Galileo and

Edison, has made it possible to program

such tools as cloud services. Through

various viewpoints, the RaaS machine may

be called a device of the Internet of Things

(IoT), the Internet of Intelligent Things

(IoIT) with a sufficient processing power to

conduct complex computing (Chen & Hu,

2013), the Cyberphysical System (CPS)

which is a mixture of a broad computational

and connectivity centre and physical

elements which can communicate with the

physical world (Steenman, 2012), as well as

an autonomous generation.

II. PROBLEM STATEMENT

Present contests in robotics are

primarily remote controlled. Students spend

nearly all their time constructing a

Mechanical Computer with no technical

need, as technical an autonomous robot is

beyond the capacity of high school students

(Harvey et al., 1992).

III. AIM AND OBJECTIVE

The aim is to develop an easy-to-

build and easy-to-program robotic package

for the distribution of high schools and the

development of a competition sequence of

autonomous robots.

IV. LITERATURE REVIEW

This section is focused on our earlier work

on service-oriented robotics Computing

Science. In, Chen (2006) introduced the core

concept of service- robotics computing and

the initial development of the design and

modules utilizing Parallax Boe- and

Windows CE- handheld tools. The study

was funded by the Embedded System

Program of Microsoft Science. A current

version of the service- robotics computing

architecture and design was recorded in

Chen and Bai, (2008) and Chen et

al.,(2009). The latest design is carried out

using an Intel processor-based self-built

robot and off-the-shelflf parts. The emphasis

of (Chen & Bai, 2008) was on the

coordination of robots, the design of

interfaces between sensors/actuators as well

as the processor board, and assistance for

service-oriented computing. The emphasis

of (Chen et al., 2008) was on event-driven

design, floor-detection algorithms, office

patrol algorithms, and simulation of

algorithm performance tests. In (Chen et al.,

2009), commented on the efficiency

assessment of the execution time required

for a defined collection of tasks and the

power consumption centred on the

implementation of the Intel Core 2 Duo

processor.

V. RESEARCH GAP

From the above Research Gap, as

IoT / robotics technology and developments

grow unpredictably into other fields of

computing, knowledge and control systems,

schools and colleges should train students to

learn and be enabled to program IoT devices

and robots. However, programming IoT and

physical devices are challenging and relies

on a clear knowledge of hardware as well as

low-level programming. To fix this problem,

workflow, as well as visual programming

languages, need to be created.

VI. METHODOLOGY

The main contribution of this paper

is the definition of Robot as a Service

(RaaS) that enforces the design and

execution of a robot or computer to be an

all-in-one SOA package, that is, a package

that involves software output systems,

discovery and publishing data brokers, and

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client direct control applications. In our

previous SOA robot concept, the robot is an

interface which uses remote backend

computing resources. This all-in-one

architecture gives the robot machine even

more strength and ability to perform as a

completely self-contained computer

platform in the cloud computing world.

Another main contribution recorded in the

paper is the creation of facilities which

convert the Microsoft Robotics Studio VPL

(Visual Programming Language) software

into Intel application executable files. These

resources require the creation of standard

VPL systems on an Intel-based robotic

platform.

To illustrate the ideas, we have

placed in position a RaaS prototype. To

render the RaaS more adaptable, we made

the following design decisions: Hardware:

standardized Intel processor and

motherboard are used. We've been checking

the RaaS on Core 2 Owing and Atom

processors. The key part list includes:

In this research, a combination of the

novel machine learning algorithm is

proposed using image processing, test

processing and deep learning techniques.

The contribution of this work is as follows:

Intel Core 2 Duo Processor 1.6GHz;

alternatively, Atom N270 processor 1.6GHz;

Arduino Board

MD23 Dual Motor Driver

M2-ATX Intelligent Power Supply

M2-ATX Intelligent Power Supply

USB to I2C Communications Module;

Intel Embedded Mini-ITX Motherboard;

Generic USB and popular serial port

tools, like sonar sensors, compass sensors,

motion sensors and thermal sensors,

webcams, remote servos and motors, are

often used. Figure 1 illustrates how the

systems can be controlled by utilities and

drivers.

Fig 1. Interfacing devices to SOA

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Operating systems: We have incorporated a

variant of Windows XP and a variant of

Linux.Software development Languages:

We utilized C # and Java to program the

systems and applications. We have also

introduced a module that interfaces the

Visual Programming Language (VPL)

applications to the Intel network.

Service Hosting: Using

multithreading in C # and Java, we

introduced a multi-tenant software hosting

system where different copies of the

application code are hosted by a worker

machine. The thread-based database hosting

system That requests are handled by the

reactor as a single entry point in which the

requests are cached and reviewed against the

archive. If an item or service is not recorded,

the demand would be denied automatically.

Otherwise, the request will be sent to the

hosting employee process. The worker cycle

should launch the project as a thread and

control the existence of the project. We

have two systems for jobs, one for services

and one for application.

VII. SUMMARY

This paper described the idea of

Robot as a Service (RaaS) using VPL

(Visual Programming Language) computing,

addressed the implementation of the RaaS

prototype. The results often demonstrate the

efficacy of the software and hardware device

supporting the RaaS complex machine. A

robotics starter kit is being produced l for

distribution to high school robotics camps

and robotics competitions. Many programs

are still being examined in future.

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