Mobile Cloud Computing for Dyslexic Students

This project focuses on developing a cloud-based mobile application aimed at assisting dyslexic students in their learning process. It discusses the significance of cloud computing in education, particularly for students with learning disabilities. The research highlights the challenges faced by dyslexic students and proposes a model that utilizes mobile cloud computing to enhance their educational experience. The paper includes a literature review, proposed models, implementation strategies, and evaluations of the effectiveness of the cloud-based solution.

Running Head: MOBILE CLOUD COMPUTING
Mobile Cloud Computing
Name of the Student
Name of the University

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Abstract
This research is entirely focused on the developing a cloud-based solution for dyslexic students
who are unable to cope up with regular learning classes. They need special help for education
and cloud computing can be used to develop an app that will be specially designed for
educational purposes. Cloud computing is considered to be one of the most significant and useful
inventions in the field of information and communication technology. The technology of cloud
computing is helpful enough in providing proper powerful unit of processing that is mainly
shared by various computers in order to analyze data for making reliable decisions. The paper
mentions that Cloud based mobile cloud computing is mainly developed for treating the patients
using proper application of healthcare so that proper comparison is made between the tools with
the tools that are utilized by the students of dyslexia. It is found that this project has number of
drawbacks as well as limitations that are mainly discussed in detail in this section. To develop a
suitable development to address the main problem in this research, to different models have been
proposed. However, there are advantages and disadvantages of both the models that may provide
obstacle for the development of the app for the dyslexic students. In order to overcome this
model, it is identified that the system is mainly added within the element of cloud which helps in
powerful processing for analyzing the data that is given by the student in order to make the
issues in context with the student’s point of view.

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Table of Contents
1. Introduction..................................................................................................................................3
1.1 Background............................................................................................................................3
1.2 Problems................................................................................................................................3
1.3 Significance of the Study.......................................................................................................4
1.4 Purpose and Aims..................................................................................................................5
2. Literature Review........................................................................................................................5
3. Proposed Model.........................................................................................................................11
First Best Model........................................................................................................................11
Second Best Solution.................................................................................................................13
4. Implementation of the Model....................................................................................................15
5. Evaluation of Implementation...................................................................................................17
6. Conclusion.................................................................................................................................19
References......................................................................................................................................21

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1. Introduction
1.1 Background
Cloud computing refers to computing activities done in the virtual interface instead of
physical hardware interface. Due to its wide range of uses, cloud computing is now being used in
various fields including business, education, healthcare, logistics, statistics and others. The main
advantage of cloud computing is that it does not require any physical space and can run on itself
on the virtual interface if they are programmed correctly (Alghabban, Salama & Altalhi, 2016).
The user only requires an internet connect to access cloud computing data. Another advantage is
that cloud computing is that it is extremely efficient in data management and removes all
possibilities of errors that may occur due to human operations. In this particular research, cloud
computing is used as a platform for aiding dyslexic students. It has found that cloud computing
can be utilized for this purpose by developing a mobile app that will specially designed for
aiding dyslexic children.
1.2 Problems
The main problems to be addressed in this research are listed below.
Use of Cloud Computing in Education – Previously, various researchers have suggested
various techniques of using cloud computing services in education. However, cloud computing
has not yet been utilized extensively in education sector due to the security issues it faces. Cloud
computing is still only selectively used in education like online examinations, tutorial videos and
others (Alizadeh et al., 2016). With the development of several security tools for cloud
computing, it is becoming for feasible for use in the education sector that includes future online

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interactive classrooms, total digitalization of examinations, special educational mobile apps and
others.
Dyslexic Students – This research is entirely focused on the developing a cloud-based
solution for dyslexic students who are unable to cope up with regular learning classes. They need
special help for education and cloud computing can be used to develop an app that will be
specially designed for educational purposes. The details of the development are discussed later in
the assignment.
Low Cost Education – Another issue that can be addressed using this research is
reduction of cost of education. The current educational systems in most of the countries are
extremely high owing to the number of teaching faculties appointed and the extensive use of
technology. The cost of education is further increased for dyslexic students as they require
special attention and teaching methods (Hossain, 2017). However, it has been found that in the
rural areas of various countries, such high standards of education are not available and as a
result, the dyslexic students of these areas do not receive sufficient education. Hence, this
research is aimed to solved such problems as well.
1.3 Significance of the Study
The significance of this study is that it covers a mostly unexplored side of cloud
computing i.e. its application in the education of the dyslexic students. However, there are some
gaps that arise from the limitation of this particular study. The limitations and gaps are explained
as follows.
Access – Since the target of this research is to develop a cloud based mobile for aiding
the dyslexic students, smartphones will be required for accessing the app. However, in most of

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the rural areas, people generally do not have any access or afford smartphones. As a result, the
target objective of the development of the app will not be successful.
Addiction – Another main gap of the proposed solution is the mobile addiction that is
very common in the children nowadays. Once a student gets access to a smartphone, it is highly
likely that he will become addicted to the phone by playing games and using other applications.
Hence, this issue must be addressed before developing the educational app for the dyslexic
students.
1.4 Purpose and Aims
The purpose and aims of this research are as follows.
 To research on existing works based on application of cloud computing in various
fields including education
 To develop a suitable model for addressing the identified problems
 To prepare an implementation plan for the proposed model
2. Literature Review
In this research, the model for the proposed cloud based platform development for
supporting the dyslexic students has been explored. They do not need to consider some other
media for correspondence. According to Islam et al. (2017), cloud based learning can be suitable
for teaching disabled students who need special attention instead of regular teaching methods.
Hyperactivity disorder of some disabled and dyslexic students is not favorable for the learning
condition. Keeping in mind the end goal to moderate the issue, it is important to use certain
instruments and propelled innovation. For this specific, ponder material the versatile computing

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is embraced by the students. Considering the propelled innovation named as portable innovation,
the disabled and dyslexic students are expected to be benefitted from the cloud based platform
for education. After fruitful finish of the investigation with the assistance of versatile computing,
a propelled learning methodology could be created with the cloud computing platform. Simpson
(2005) gathered information from various surveys and analytic studies and created study
inquiries to comprehend the issues or difficulties of customary learning with the goal to propose
a cloud based mobile learning platform for the dyslexic and disabled students.
It is identified that both information technology as well as internet are providing number
of solutions to numerous heath issues as well as problems related to communication and
transport. Information communication technology has become one of the huge platforms that
help in managing various issues like dyslexia. According to Alghabban, Salama and Altalhi,
(2016), information technology assists in creating number of advantages which are used for the
welfare of human beings. The invention in the field of information technology is considered as
one of the most significant inventions of cloud computing. The technology of cloud computing
is helpful enough in providing proper powerful unit of processing that is mainly shared by
various computers in order to analyze data for making reliable decisions. The paper mentions
that Cloud based mobile cloud computing is mainly developed for treating the patients using
proper application of healthcare so that proper comparison is made between the tools with the
tools that are utilized by the students of dyslexic. It is opined by Kollorz et al. (2016) that proper
integration is also done between various smart home applications as well as mobile cloud
computing. The smart phone application is mainly implied in order to form wireless network as
well as connectivity that further assist in forming proper deployment of the procedures (Liang,
2016). The system is quite helpful in serving various opportunities of the learners. The thought

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identified with the utilization of cloud computing is used in this exploration for tending to
training issues of the dyslexic students. This idea can be utilized for the progression of a few
biomedical instruments. The idea identified with the use of portable information is talked about
for the determination of the Dyslexic patients. This will make a few new highlights which can be
truly useful for the dyslexic patients. Further, the idea identified with the interpersonal
organization framework for hard of hearing and visually impaired patients is talked about. As per
Zhu et al. (2016), this idea can be utilized as a part of the progression of the framework for the
assistance of the disabled students. Since the development of cloud computing, researchers have
been trying to utilize it in the educational sector in order to aid the students, especially those who
require special attention instead of regular teaching processes. Hence, the goal was to develop a
cloud based education platform that could be used an alternative teaching method for the
disabled children. Since then, it has been found that this cloud based alternative can also be used
as an alternative teaching platform for the dyslexic students who require special attention for
learning. Cloud computing can be used for develop an m-learning platform for smartphones.
This m-learning platform will contain learning modules for the dyslexic students who can be
taught by the teachers using those modules. This m-learning platform is supported by the cloud
computing database that will manage all the data and the modules. Giving instruction for
dyslexic students is a test (van Deursen, Ben Allouch & Ruijter, 2016). These students require an
exceptional approach contrasted with ordinary students. They are known to have constrained
capacity to focus and effectively diverted. One way data sharing where an educator is the
wellspring of data is not reasonable for them. A learning module that can reproduce their
advantage and catch their consideration is expected to guarantee a powerful learning session. AR
permits the virtual protest and certifiable to coincide, permitting the question of concentrate, for

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example, nuclear structure to be enlivened, therefore, breaking the limit of room and time. This
improves the students’ comprehension and memory. Yang & Leung (2016) said that cloud
computing innovation empowers an area autonomous computing where the computing assets,
software, and information are put away in the cloud. Research additionally demonstrates that
utilization of augmented reality (AR) in instruction gets positive criticism from students and
educators. Students are energized on the intelligent part of AR and the flexibility for them to
investigate the subject of concentrate inside a protected situation. Then again positive reactions
are gotten from instructors on the viability of AR based module in supporting learning sessions.
This gives more proficient data sharing among worldwide web clients.
Pee et al. (2016) recreated a framework created by specialists that depended on the
hypothesis of arranged conduct utilizing a huge specimen of some college students. The
framework featured the noteworthy components that impact students' thoughtfulness regarding
receive m-learning, which are disposition, subjective standard, and saw behavioral control. In
any case, there is a potential predisposition in this examination as it concentrated just on students
and in this manner educators were not considered. In addition, the example was limited to one
college and along these lines the investigation's discoveries cannot be summed up. Some
different analysts have considered the issue of the high speculation of the current conventional
area based learning systems (Intranet) and the support being finished by instructive foundations.
The creators proposed a theoretical framework for pervasive learning by coordinating portable
applications with cloud benefits and empowering access by means of the college's private cloud.
According to Liang (2016), the students can get to the substance either by a portable application
or a web benefit that mentors can transfer. A few scientists tended to the issue of stage reliance
of existing versatile applications. They built up a versatile application cross-stage framework

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with respect to working systems, equipment (handheld gadgets), and web programs in view of
CC for training in higher establishments in some countries. The proposed framework is anything
but difficult to learn; besides, it underpins cross-stage and cross-gadget utilize and the client gets
to the most recent rendition of the application promptly without upgrading. Be that as it may,
there are a few downsides, for example, the way that the JQuery portable application is moderate
on mobiles, incorporates a few bugs, and has restricted capacities. Managerial staff deals with
all the framework administrations. Nevertheless, this framework gives a predetermined number
of instructive administrations. It does not consider the social and joint effort viewpoints, for
example, gatherings and dialog gatherings. According to the works of Lo'ai et al. (2016), the
current learning administration systems are risky in that they are just in light of a PC domain
without supporting remote gadgets; besides, there is an absence of instructive assets. However,
this proposed system has a few disadvantages, including constrained info ability and handling
power, absence of memory limit and assets, a little estimated screen, and no approval. A few
analysts examined whether students' and instructors' recognitions with respect to mlearning are
certain or negative. They likewise inspected regardless of whether they are prepared to utilize
portable advances for learning purposes. They built up a site that incorporates the meaning of m-
learning, its preferences and inconveniences, and valuable connections for branches. The point of
this framework is to upgrade the accessibility of learning by blending separation learning and
existing conventional learning systems with m-learning (a half and half model) notwithstanding
utilizing a CC worldview. They presented the Educational Software as a Service idea (ESaaS),
which is a type of CC that has the instructive software in the cloud and gives such software as an
administration. The outcomes demonstrated that while students and educators need to utilize
versatile innovation in instruction, their ability levels are lacking (Islam et al., 2017). However,

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the creators in this investigation did not cover every one of the recipients of m-learning. A few
specialists advanced self-coordinated learning by giving hypothesis, substance, and self-practices
by means of a m-learning asset for understudies and researched the utilization of cell phones in
learning. The creator built up a m-learning site with seven pages: the landing page, an input page
with connections to valuable sites, and five pages identified with various learning units. The
learning materials were bolstered with content, recordings, introductions, and tests. Despite the
fact that the proposed site reflected empowering self-course and engagement of understudies, it
didn't founded on an academic approach because of the analyst's innovation confinements. The
tests were additionally extremely basic with no inherent criticism; besides, no intelligent
liveliness or social as well as synergistic means were incorporated.

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Input from the student
Device starts Asks for input
Display characters or
diagrams
Asks for identification
END
3. Proposed Model
First Best Model
It is found that this project has number of drawbacks as well as limitations that are mainly
discussed in detail in this section. The primary problem that is identified with this structure is
that it can be utilized for determining the relationship that exists between the different limitations

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of the model (Kraft et al., 2015). It is quite unable to provide proper two-sided communications
as it is quite compulsory in resolving the problems which are mainly associated with the
students. The main advantage that is associated with creation of this device is quite beneficial for
the patients of dyslexic. However, in this case the patients are unable to provide the issues which
are associated with his or her reading skill or pronunciation (Johnson et al., 2014) The other
significant problem related with this flowchart is that it cannot make the system advanced in
terms of feedback as well as accuracy. The problem that is associated with the system is that it
does not ask feedback from the students. The students are mainly cable of getting proper idea
about the objectives that are generally reflected on the screen however they are not able to
convey their problems properly to the system (Pee et al., 2017). In order to get a proper model, it
is quite important to focus on the student as well as on the issues that are mainly associated with
the student. It must be provided to the specific system in order to understand the problems as
well as issues of the student for understanding the paragraph as well as letters within paragraph.
The main issue is that they are not capable of differentiating between the characters of same type
which generally look the same. The main disadvantage that is mainly associated with
calculations as well as numbers cannot be generally asked by the model for getting proper
information. The problem is that the students are not completely getting the idea when they do
not have proper information about the sound or identification of character (Jayapandian, 2014).
There are number of problems that are mainly associated with the system which is not also
beneficial for the guardians who mainly help then children in understanding about the problems
(Helland, 2016). Therefore a new system is needed that is generally helpful for the student in
understanding the letters as well as characters in quite specific way.

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Input from the student
Device starts Asks for input
Display characters or
diagrams
Asks for identification
END
Output sent to student
Cloud computing
Processing unit
Compare the student’s input to the standard objects
Same?
NO
YES
Second Best Solution
The new model is quite advanced in terms of making the student understand about the
various numbers as well as characters for identification in a quite effective way. Hence, this
model will be extremely suitable for teaching the dyslexic students (Gomez & Ojala, 2014). In

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this given model, a cloud computing platform is added, which is utilized for making the system
much more advanced in terms of its overall accuracy and reliability. The main advantage of
making a student understand the overall value of the project is that the learning of the student can
be further enhanced in a broader aspect. The problem in the previous model is that the students
are not capable of making identification or differentiation of various characters (Alghabban,
Salama & Altalhi, 2017). The main problem that is associated with it is that it do not ask the
student about the feedback. It is identified that the student are able to get only the idea about the
various objects which are mainly reflected in the screen however they are not able to convey the
problems problem to the system.
In order to overcome this model, it is identified that the system is mainly added within
the element of cloud which helps in powerful processing for analyzing the data that is given by
the student in order to make the issues in context with the student’s point of view. The
introduction of cloud computing in the new model is helpful in creating a platform for the
student which helps in verifying the objects that are reflected in the display system of the
computers. The main advantage that is associated with the system helps in making it much more
suitable for the students so that they can properly identify the problem in context to various
standards.
This project is mainly based on various applications of cloud computing that further helps
the patients of dyslexic. It is identified that the patients of dyslexic faces number of issues that
are mainly associated with reading as well as writing of various characters. Cloud computing
helps in providing number of features including powerful processing unit, privacy as well as
security of data. These features are generally utilized for helping the patients with the
introduction of various characters. The patients mainly faces lot of problems that including

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confronting the issues as well as problems that they are facing to the doctors and as a result they
get irritated. In order to resolve the problem of the student, several features are provided in order
to create proper centralized system. Another significant thing is interface design which is found
to be attractive as well as helpful for the students. In addition to this, the project assists in
analyzing the various roles of cloud computing in order to help the patients.
4. Implementation of the Model
With a specific end goal to build up a system it is especially important to distinguish the
components of customary and current instruction system for the stock hypothesis. In the wake of
getting affirmation, the advancement speculations could be created productively. Some of the
researchers have gathered essential and auxiliary information from various assets and broke
down that data to build up the propelled cloud based learning platform for the students especially
the disabled who require special teaching methods rather than normal methods. With the
assistance of cloud-based m-learning platform, the requirements of special teaching for dyslexic
students can be fulfilled. On the off chance that the classification is recognized properly then the
improvement of the propelled system will turns out to be considerably less demanding from the
system approach. After the distinguishing proof of conventional approach, just the designers will
have the capacity to send the advanced cloud based approach for the cripple students. Due to the
absence of learning instruments and innovations, a large portion of the students are confronting
significant difficulties. With a specific end goal to relieve the mistakes of conventional
coursework, versatile based cloud computing innovation is particularly useful. The learner
utilizes mobile learning in order to learn from their place and thus the learners need to go to
various education centers on daily basis. It is identified that server must be accessed properly by

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the user whenever required. It is stated by Hossain (2017) that it generally helps in serving
proper virtual server to the different users. Under proper understanding of the applications, the
user’s go through effective online communication. It is identified that the system of automation
is generally helpful in providing proper accurate as well as necessary required components to the
authors. This significant application is helpful in minimizing the various errors of the system. It
is stated by Alizadeh et al., (2016) that uses of proper monitoring approaches as well as sensor
nodes are helpful in detection. The security system is quite beneficial in developing a secure
relationship between the client and the server which will further be helpful in giving lower cost
as well as lower power system to various consumers (Kuila et al., 2016). The solution will be
capable of delivering a secured cloud based server to different consumers. The various roles of
smart health are done appropriately as the system has identified various types of migration
problems.
According to Zhu et al., (2016), the different equipments as well as machines are
generally needed for treating patients and which would further assists in integrating the treatment
without wireless connectivity. However, some issues related with the physical presence are
needed as network error can create number of process disruption for treating as well as
monitoring patients. On the other hand, it is opined by Islam et al., (2017) that development of
proper cloudlet based mobile cloud system is utilized for the treatment of the patients in various
healthcare organizations. In addition to this, it is found that integration of both mobile clouds
computing as well as Smartphone applications using the network structure for treating patients is
quite advantageous. For developing a system it is very much important to identify various factors
of current as well as traditional education system for the theory of inventory. It is identified that
with the help of proper cloud-based system, it is found that the decision that helps in making

17MOBILE CLOUD COMPUTING
errors can be resolved as well as minimized. According to Pee et al., (2016), after proper
implementation of the system, it is quite necessary to confirm that the system is quite beneficial
from the various learning perspective. After getting proper confirmation, it is found that
appropriate innovation theories can be easily developed. It is stated by Kuila et al., (2016) that
the critics associated with the research paper have generally collected both secondary as well as
primary data from various resources. It is identified that the information helps in developing
proper as well as advanced learning approach for both the normal as well as disabled students.
5. Evaluation of Implementation
Cloud computing is considered to be one of the most significant and useful inventions in
the field of information and communication technology. The technology of cloud computing is
helpful enough in providing proper powerful unit of processing that is mainly shared by various
computers in order to analyze data for making reliable decisions. The paper mentions that Cloud
based mobile cloud computing is mainly developed for treating the patients using proper
application of healthcare so that proper comparison is made between the tools with the tools that
are utilized by the students of dyslexia. It is determined that if the identification of the category is
done properly then the development of the system will be very much easier from the system
approach (UNESCO, 2017). After proper identification of traditional approach, the developers
will be capable of deploying the cloud based approach for the students who are disabling It is
opined that the system of ICT is very much helpful for the users to provide appropriate
framework for the students of dyslexic (Pang et al., 2015). The SLR phase can be developed
with the help of cloud based system. It is found that various learning disabilities can be easily
mitigated with the help of mobile cloud solution. Due to the lack of proper learning technologies

18MOBILE CLOUD COMPUTING
as well as tools, the student are facing numbers of challenges. For mitigating the various errors,
mobile cloud computing is quite helpful. Dyslexia is one of the disease which helps in making
the patients hard to read and study. Generally, they face vision problems that lead them
misunderstanding the problems due to the nature of dyslexic. It is found to be one of the
confusing problems for both the teacher as well as student within the classroom. It is identified
that the teacher may not understand the problems that are faced by the students (Mulfari et al.,
2015). It is not determined as one of the dangerous issue for understanding the concept that is
associated with the system. Various types of methods as techniques are generally utilized in
order to make the system familiar with the new technologies which are mainly utilized in this
case (Alghabban, Salama & Altalhi, 2016). The main advantage that is associated with making
much more advanced system in context with creation of platform for the student. It is analyzed
that interface design in not an easy job as for designing interface proper knowledge as well as
understanding about the topic is very much necessary. There are number of techniques that can
be utilized by the patients for the interface advancement that is mainly used between the patients
as well as computers. With the electronics and computer science improvement, different types of
new technologies are mainly developed so that the student does not need to depend on
understanding of any subject or person. The computer system is properly used for the student of
dyslexic who is not capable of reading paragraphs or comprehensions (Beacham & Duncan,
2017). The computer helps in enhancing the reading capability of the student when the students
are under special cases in context to reading issues. It is found that the computer are quite helpful
in creating bigger view or image using the projector which is quite helpful for the students of
dyslexic for understanding the various problems in a very much easier way. The main benefit
that is associated with the computer system is that the students can easily utilize the resources

19MOBILE CLOUD COMPUTING
whenever needed and they do not have to depend on other individuals for making them
understand about the various problems of reading. According to Alghabban, Salama and Altalhi
(2016), the advanced technology like mobile technology is used by the disable learners for
learning from the environment of mobile. After completing the study successfully, it is identified
that mobile computing is one of the advanced learning approach that can be helpful for
developing the cloud server of the portal. It is identified that the learners can easily access the
server on the required time in order to learn new things. In addition to this, it is opined by Van,
Ben Allouch and Ruijter, (2016) that various authors generally collected data from journals as
well as books in order to understand various challenges as well as issues of traditional learning
so that they can easily develop the advanced mobile based technology for the students who are
disable. In the learning environment, hyperactivity disorder is one of the misbalanced situations
for attention deficit. It is opined by Bahari (2016), for mitigating the issues, as well as
challenges, it is quite important to use proper specific tools as well as advanced technologies.
Mobile cloud computing is mainly adopted by the learners for this specific study material.
6. Conclusion
This project is mainly based on various applications of cloud computing that further helps
the patients of dyslexic. Previously, various researchers have suggested various techniques of
using cloud computing services in education. However, cloud computing has not yet been
utilized extensively in education sector due to the security issues it faces. Cloud computing is
still only selectively used in education like online examinations, tutorial videos and others. With
the development of several security tools for cloud computing, it is becoming for feasible for use
in the education sector that includes future online interactive classrooms, total digitalization of

20MOBILE CLOUD COMPUTING
examinations, special educational mobile apps and others. It is identified that the patients of
dyslexic faces number of issues that are mainly associated with reading as well as writing of
various characters. Cloud computing helps in providing number of features that include powerful
processing unit, privacy as well as security of data that are mainly used by the users. These
features are generally utilized for helping the patients with the introduction of various characters.
The patients mainly faces lot of problems that including confronting the issues as well as
problems that they are facing to the doctors and as a result they get irritated. In order to resolve
the problem of the student, several features are provided in order to create proper centralized
system. Another significant thing is interface design which is found to be attractive as well as
helpful for the students. In addition to this, the project assists in analyzing the various roles of
cloud computing in order to help the patients. For developing a system it is very much important
to identify various factors of current as well as traditional education system for the theory of
inventory. It is identified that with the help of proper cloud-based system, it is found that the
decision that helps in making errors can be resolved as well as minimized. After proper
implementation of the system, it is quite necessary to confirm that the system is quite beneficial
from the various learning perspective. After getting proper confirmation, it is found that
appropriate innovation theories can be easily developed.

21MOBILE CLOUD COMPUTING
References
Alghabban, W. G., Salama, R. M., & Altalhi, A. (2016). Mobile Cloud Computing and M-
Learning: State of Art.
Alizadeh, M., Abolfazli, S., Zamani, M., Baharun, S., & Sakurai, K. (Authentication in mobile
cloud computing: A survey. Journal of Network and Computer Applications, 61, 59-80.
(2016).
Alghabban, W. G., Salama, R. M., & Altalhi, A. M-Learning: Effective Framework for Dyslexic
Students Based on Mobile Cloud Computing Technology.
Alizadeh, M., Abolfazli, S., Zamani, M., Baharun, S., & Sakurai, K. (2016). Authentication in
mobile cloud computing: A survey. Journal of Network and Computer Applications, 61,
59-80.
Bahari, S. F. S. M. (2016). A Review of Learning Courseware for Children with Learning
Disabilities in Malaysia.
Benmarrakchi, F., El Kafi, J., Elhore, A., & Haie, S. (2016). Exploring the use of the ICT in
supporting dyslexic students’ preferred learning styles: A preliminary
evaluation. Education and Information Technologies, 1-19.
Daud, S. M., & Abas, H. (2013, December). 'Dyslexia Baca'Mobile App--The Learning
Ecosystem for Dyslexic Children. In Advanced Computer Science Applications and
Technologies (ACSAT), 2013 International Conference on(pp. 412-416). IEEE.

22MOBILE CLOUD COMPUTING
Kollorz, E., Penne J., Hornegger J. and Barke, A. (2008) "Gesture recognition with a Time of
flight camera," Int. J. Intell. Syst. Technol. Appl., pp. 334-343.
Elsherif, T. B., (2016), Towards M-LearningEffective Tool to Improve Education for Dyslexic
Students, International Journal of Engineering and Innovative Technology (IJEIT), 5
(9),pp.1-7
Salama, R. M., & Altalhi, A. (2016). Mobile Cloud Computing and M-Learning: State of Art.
Hossain, M. S. (2017). Cloud-supported cyber–physical localization framework for patients
monitoring. IEEE Systems Journal, 11(1), 118-
127.http:www.medgadget.com/2013/05/leica-3d-surgical-microscopes-with-truevision
technology.html
Islam, M. M., Razzaque, M. A., Hassan, M. M., Nagy, W., & Song, B. (2017). Mobile Cloud-
Based Big Healthcare Data Processing in Smart Cities. IEEE Access.
Islam, M. M., Razzaque, M. A., Hassan, M. M., Nagy, W., & Song, B. Mobile Cloud-Based Big
Healthcare Data Processing in Smart Cities. IEEE Access. (2017).
Kuila, S., Shridhar, S., Patel, C., & Iyengar, N. C. S. (2016). Cloud Computing Security by
Using Mobile OTP and an Encryption Algorithm for Hospital Management. Journal of
Computer and Mathematical Sciences, 7(11), 558-565.
Kuila, S., Shridhar, S., Patel, C., & Iyengar, N. C. S. (2016). Cloud Computing Security by
Using Mobile OTP and an Encryption Algorithm for Hospital Management. Journal of
Computer and Mathematical Sciences, 7(11), 558-565

23MOBILE CLOUD COMPUTING
Liang, P. C. (2016). Cost-effective design of real-time home healthcare telemonitoring based on
mobile cloud computing (Doctoral dissertation, University of Surrey (United Kingdom)).
Lo'ai, A. T., Bakhader, W., Mehmood, R., & Song, H. (2016, December). Cloudlet-based Mobile
Cloud Computing for Healthcare Applications. InGlobal Communications Conference
(GLOBECOM), 2016 IEEE (pp. 1-6). IEEE.
National Institute of Neurological Disorders and Stroke, “Dyslexia Information Page,” 2011.
[Online]. Available: http://www.ninds.nih.gov/disorders/dyslexia/dyslexia.htm.
[Accessed: 03-Jul-2015].
Pang, L., Chen, C. J., Teh, C. S., & Anding, P. N. (2015). Online Learning for Individuals with
Dyslexia: A.
Pee, N. C., Leong, P. H., Othman, M. A., Sulaiman, H. A., Othman, M. F. I., & Rahim, Y. A.
(2016). DycScreen—Cross-Platform Dyslexia Screening Test for Malaysian Children
Through Hybrid Applications. In Advanced Computer and Communication Engineering
Technology (pp. 1083-1091). Springer, Cham.
R. C. Simpson, "Smart wheelchairs: A literature review," Journal of Rehabilitation Research
andDevelopment, vol. 42, pp. 423-36, 2005.
Unesco (2017). Accessible ICTs and Personalized Learning for Students with Disabilities
Retrieved 17 August 2017, from
http://www.unesco.org/fileadmin/MULTIMEDIA/HQ/CI/CI/pdf/accessible_ict_personali
zed_learning_2012%20.pdf.

24MOBILE CLOUD COMPUTING
van Deursen, A. J., Ben Allouch, S., & Ruijter, L. P. (2016). Tablet use in primary education:
Adoption hurdles and attitude determinants. Education and information
technologies, 21(5), 971-990.
van Deursen, A. J., Ben Allouch, S., & Ruijter, L. P. (2016). Tablet use in primary education:
Adoption hurdles and attitude determinants. Education and information technologies,
21(5), 971-990.
Yang, L. T., & Leung, V. C. (2016). A novel sensory data processing framework to integrate
sensor networks with mobile cloud. IEEE Systems Journal, 10(3), 1125-1136.
Zhu, C., Wang, H., Liu, X., Shu, L., Yang, L. T., & Leung, V. C. (2016). A novel sensory data
processing framework to integrate sensor networks with mobile cloud. IEEE Systems
Journal, 10(3), 1125-1136.