Abstract— this paper will provide the diagnostic tool solution for the measurement of values with proper units from various signals of Android Device. This application will be used for concluding the signal strength from various Transmitters; Trans receivers of mobile device. This includes GPS Receiver, Acceleration & Gravity Sensor, Rotation Sensor, Magnetic Sensors, Orientation Sensor, Relative Humidity Sensor, Proximity Sensor, Cell Network receivers & Wi-Fi Receiver. This paper provides the diagnostic tool for all the above said components of mobile device with appropriate units.

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Advance Diagnostic Tool for Android Devices:
A Performance Analyzing Tool for Mobile
Device
Ms. CHAITHRA S1
, Dr. K. THIPPESWAMY2
,
Dept. of Computer Science
1 M-Tech, Student, VTU Regional Office, Mysuru, India
2 Guide, Prof & HOD, VTU Regional Office, Mysuru, India
SURVEY PAPER
ABSTRACT- Abstract— this paper will provide the
diagnostic tool solution for the measurement of values
with proper units from various signals of Android
Device. This application will be used for concluding
the signal strength from various Transmitters; Trans
receivers of mobile device. This includes GPS
Receiver, Acceleration & Gravity Sensor,
Rotation Sensor, Magnetic Sensors, Orientation
Sensor, Relative Humidity Sensor, Proximity Sensor,
Cell Network receivers & Wi-Fi Receiver. This
paper provides the diagnostic tool for all the above
said components of mobile device with appropriate
units.
Keywords—Diagnostic Tool, Android Device,
Mobile Sensors, Receivers and Senders, Units and
Values.
2 INTRODUCTION
Advance Mobile Data Receiver application is an
Android base application which is used to diagnose a
variety of unknown information about the hidden
parameters of device components such as GPS, WI-FI,
Mobile Network and much more. The receiver
measures the transit time of each message and
computes the distance to each satellite. A form of
triangulation is used to combine these distances with
the location of the satellites to determine the receiver’s
location. The position is displayed, perhaps with a
latitude and longitude, and elevation information,
bearing, speed, calculated from position changes. This
diagnostic tool will displays data reported by sensors
in the phone. This diagnostic tool for cellular network
provides information about the type of Network
(GSM/CDMA/LTE), MCC, MNC, LAC, Cell ID,
PCI/PSC and Signal Strength.
3 SURVEYS
3.1 GWS Mobile Diagnostic App
This survey study about Powerful Performance
Measurement Tool concepts, the app is a diagnostic
tool for mobile devices that can quickly yet thoroughly
test mobile and Wi-Fi networks in terms of data speed,
network latency, signal strength, serving cell towers,
GPS signal and other key performance indicators.
Independently, the app can provide cost-effective,
surface-layer performance analysis, and when
combined with GWS’ industry leading testing
solutions, it can serve to significantly enhance
benchmarking efforts. GWS Mobile Diagnostic App
Flexible and Easily Configurable: The app allows
users to easily configure, run, and review multiple test
scenarios involving ping, HTTP upload, HTTP

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download, browser, HTTP multi-thread upload, and
HTTP multi-thread download. Users also have the
ability to configure test controls including count,
duration, or continuous testing. In addition, test
configurations created for a current project can be
saved for future use. Real-Time, Shareable Results:
Results from a test project are instantaneous and can
be shared with others. The results can be viewed in
various levels of detail from individual test results to a
project summary. And users can also view the trends
resulting from conducting multiple tests.
Comprehensive Network Assessments: In combination
with Mobistat GWS’ advanced post processing
technology, users can also view app test results via a
secure website, and have access to interactive web-
based reporting and mapping tools. Thus, adding
another layer of evaluation for the performance
measurements generated by the app.
3.2 Diagnosing Energy Efficiency and Performance
for Mobile Internetware Applications
Mobile Internetware applications sense physical and
cyber environments and connect a tremendous world
of users and things. Smartphone applications are one
typical example. However, the smart services of many
real-world smartphone applications are realized in an
energy-inefficient or performance-ill way, seriously
affecting user experience. What is even worse,
developers lack powerful tools to combat such
problems. This curbs the continuous growth of
Internet-based mobile computing. There thus exists a
strong call from research communities and industries
for effective techniques to diagnose energy and
performance bugs in smartphone applications. In this
article, we study the characteristics of these bugs and
discuss challenges in diagnosing them. We then
review state-of-the-art techniques in this field and
explore future research directions. Finally, we study
the use of one representative tool in analyzing
commercial Android applications and Samsung
Mobile SDK. We show how the tool can provide
useful diagnostic information to developers and
discuss effective ways to support Internet-based
mobile computing and beyond.
3.3 Auto-configuration server architecture with
device cloud cache
In this paper, a server architecture based on the TR-
069 communication protocol is proposed. Server
provides an efficient and adaptive way to remotely
control and monitor customer devices. The proposed
solution is a modular because provides extendable
layers to connect various statistics modules, modules
for analysis and diagnosis of customer devices or for
graphical presentation applications, such as web or
android based applications. With increasing number of
user devices, configuration and monitoring of the
connected devices have become very complex and
difficult task. Manufacturers and service providers are
challenged to provide device monitoring to satisfy
desired level of quality of service (QoS). One of the
solutions is TR-069 communication protocol [1]. The
protocol describes a set of Remote Procedure Call
(RPC) methods that are exchanged between Customer
Premises Equipment (CPE) and Auto-Configuration
Server (ACS) via HTTP/HTTPS and SOAP protocols.
Advantages
• Reduced installation costs
• System scalability
3.4 A review of wearable sensors and systems with
application in rehabilitation
An Advanced Home Automation System Using The
aim of this review paper is to summarize recent
developments in the field of wearable sensors and
systems that are relevant to the field of rehabilitation.
The growing body of work focused on the application
of wearable technology to monitor older adults and
subjects with chronic conditions in the home and
community settings justifies the emphasis of this
review paper on summarizing clinical applications of
wearable technology currently undergoing assessment
rather than describing the development of new
wearable sensors and systems. A short description of
key enabling technologies (i.e. sensor technology,
communication technology, and data analysis
techniques) that have allowed researchers to
implement wearable systems is followed by a detailed

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description of major areas of application of wearable
technology. Applications described in this review
paper include those that focus on health and wellness,
safety, home rehabilitation, assessment of treatment
efficacy, and early detection of disorders. The
integration of wearable and ambient sensors is
discussed in the context of achieving home monitoring
of older adults and subjects with chronic conditions.
Future work required to advance the field toward
clinical deployment of wearable sensors and systems
is discussed. The US health care system faces daunting
challenges. With the improvements in health care in
the last few decades, residents of industrialized
countries are now living longer, but with multiple,
often complex, health conditions [1, 2, 3]. Survival
from acute trauma has also improved, but this is
associated with an increase in the number of
individuals with severe disabilities [4]. From an
epidemiological standpoint, the cohort of "baby
boomers" in the US is now reaching an age at which
they will begin to severely stress the Medicare system.
Finally, recent health care reform efforts may add 32
million newly insured patients to the health care
system in the next few years [5]. These altered
demographics raise some fundamental questions How
do we care for an increasing number of individuals
with complex medical conditions? how do we provide
quality care to those in areas with reduced access to
providers? how do we maximize the independence and
participation of an increasing number of individuals
with disabilities? Cleary, answers to these questions
will be complex and will require changes into how we
organize and pay for health care. However, part of the
solution may lie in how and to what extent we take
advantage of recent advances in information
technology and related fields. Currently, there exist
technologies that hold great promise to expand the
capabilities of the health care system, extending its
range into the community, improving diagnostics and
monitoring, and maximizing the independence and
participation of individuals. This paper will discuss
these technologies in depth, with a focus on remote
monitoring systems based on wearable technology.
We chose to focus on these technologies because
recent developments in wearable sensor systems have
led to a number of exciting clinical applications.
3.5 Cell phone-based devices for bio analytical
sciences. During the last decade, there has been a
rapidly growing trend toward the use of cellphone-
based devices (CBDs) in bioanalytical sciences. For
example, they have been used for digital microscopy,
cytometry, read-out of immunoassays and lateral flow
tests, electrochemical and surface plasmon resonance
based bio-sensing, colorimetric detection and
healthcare monitoring, among others. Cellphone can
be considered as one of the most prospective devices
for the development of next-generation point-of-care
(POC) diagnostics platforms, enabling mobile
healthcare delivery and personalized medicine. With
more than 6.5 billion cellphone subscribers worldwide
and approximately 1.6 billion new devices being sold
each year, cellphone technology is also creating new
business and research opportunities. Many cellphone-
based devices, such as those targeted for diabetic
management, weight management, monitoring of
blood pressure and pulse rate, have already become
commercially-available in recent years. In addition to
such monitoring platforms, several other CBDs are
also being introduced, targeting e.g., microscopic
imaging and sensing applications for medical
diagnostics using novel computational algorithms and
components already embedded on cellphones. This
manuscript aims to review these recent developments
in CBDs for bioanalytical sciences along with some of
the challenges involved and the future opportunities.
The use of cellphones in bioanalytical sciences has
opened new opportunities and intensified research
efforts for the development of next generation
cellphone-based devices (CBDs) that will enable users
to have access to cost-effective and compact
bioanalytical technologies at any time and place. Such
mobile Healthcare (mHealthcare) technologies based
on CBDs will further improve the self-management of
chronic patients, and will enable the supervision of
physically-disabled, mentally ill or elderly individuals
with minimum interference in their daily lives.
Equipped with various advanced features, such as real-

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time geo-tagging, secure data management and
analysis, high storage capacity, powerful processors,
wireless connectivity through General Packet Radio
Service and Wi-Fi, etc. the current generation of
cellphones provides a promising digital platform for
the development of various bioanalytical devices. A
variety of sensors, such as Global Positioning System
modules, light detectors, microphones, cameras,
accelerometers as well as proximity sensors, are
already integrated into the cellphones. Therefore,
CBDs might especially be useful for bioanalytical
applications in remote and resource-poor settings,
generating real-time results, which can be remotely
accessed by e.g., the analysts and certified
professionals, thereby enabling the monitoring of
emerging situations.
3.6 The Smartphone in Medicine: A Review of
Current and Potential Use Among Physicians and
Students. This survey support to advancements in
technology have always had major impacts in
medicine. The smartphone is one of the most
ubiquitous and dynamic trends in communication, in
which one’s mobile phone can also be used for
communicating via email, performing Internet
searches, and using specific applications. The
smartphone is one of the fastest growing sectors in the
technology industry, and its impact in medicine has
already been significant.
Objective: To provide a comprehensive and up-to-
date summary of the role of the smartphone in
medicine by highlighting the ways in which it can
enhance continuing medical education, patient care,
and communication. We also examine the evidence
base for this technology.
Methods: We conducted a review of all published
uses of the smartphone that could be applicable to the
field of medicine and medical education with the
exclusion of only surgical-related uses.
Results: In the 60 studies that were identified, we
found many uses for the smartphone in medicine;
however, we also found that very few high-quality
studies exist to help us understand how best to use this
technology.While the smartphone’s role in medicine
and education appears promising and exciting, more
high-quality studies are needed to better understand
the role it will have in this field. We recommend
popular smartphone applications for physicians that
are lacking in evidence and discuss future studies to
support their use.
4. CONCLUSION:
This proposed system will provide a solution for the
measurement of values with proper units for various
signals. This application will be used for concluding
the signal strength from various transmitters and trans-
receivers. Thus our aim is to provide a proper and
accurate diagnostic tool with appropriate units using
the hardware components present in the Android
device.
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