IT_Tools_in_Research.ppt

IT TOOLS FOR RESEARCH
CPHD4
GUIDED BY: DR . P. SHASHIKALA
Roohi Ali
R.No: 867202
Research Scholar.
Computer Application.
Department of Computer Applications.
MCNUJC, Bhopal.
May 2014.

Outline of the presentation
Objective and Analysis.
• Objectives of using IT Tools in Research
• Algorithm Analysis and Complexity Techniques
Tools used in Research.
• Graphics Tools
• Presentation tools
• Online Tools
• Research Publication Tools
Searching and plagiarism
• Use of Scientific Programming-MATLAB
• Searching for publication
• Plagiarism
• Specific tools for proposed area of working
Participation and Publication
• Participation and publication during course work
• Proposed area of research
• References

Objective of using IT Tools in
Research
Tool
s

Research
Transformation of Data of Research into Standardized format of information
using specific techniques implemented by various IT tools available.
Initial check -for state space -Verisoft(From a given in initial state it
garantees a complete coverage of the state space upto some deepth).
Input research data ----Transformation ---Standardized Publications

Research
Advantages and Disadvantages of Online Web Tool

Algorithm analysis and complexity
Techniques in Research
Example :
A simple
Algorithm
of going to
home
From Office.

Computational complexity theory = the
study of the cost of solving problems.
Cost Measures the amount of resources
needed.
• time complexity.
• space complexity.
F(n) = complexity of an algorithm M .
Best case: The minimum value of f (n) for
any possible input.
Worst case: The maximum value of f (n)
for any possible input.
Average case: The value of which is in
between maximum and minimum for any
possible input.

Objectives
•Methods for analyzing
algorithmic efficiency
•A set of standard algorithmic
techniques
•A toolbox of standard algorithms
Motivation
• Efficient algorithms lead to
efficient programs.
• Efficient programs sell better.
• Efficient programs make better
use of hardware.
• Programmers who write efficient
programs . Factors influencing
program efficiency
•Problem being solved
•Programming language
•Compiler
•Computer hardware
•Programmer ability
•Programmer effectiveness
•Algorithm

Asymptotic comparison operator Numeric comparison operator
Our algorithm is o( something ) A number is < something
Our algorithm is O( something ) A number is ≤ something
Our algorithm is Θ( something ) A number is = something
Our algorithm is Ω( something ) A number is ≥ something
Our algorithm is ω( something ) A number is > something
Three basic asymptotic notations used to express the running time f(n),
domain={1,2,3,….}
•O (Big ‘oh’) : express Upper bound (maximum steps) to solve a problem.
•Ω (Big ‘omega’) : express Lower bound i.e. minimum (at least) steps to solve a
problem.
•Θ (“Theta‟) :express both Upper & Lower bound, also called tight bound.

Tools used in Research
Graphics Tools
Types of graphics formats:
•Vector : a line is defined by 2 points, the text can be edited.
•Raster (or bitmap) : no. of dots/cm defines the quality of the drawing.
Photograph
•Page description language (PDL) : programming language describing the
appearance of a printed page at a higher level than an actual output bitmap.
oAdobe’s PostScript (.ps),
oEncapsulated PostScript (.eps) and
oPortable Document Format (.pdf)
•Encapsulated PostScript (.eps) is commonly used for graphics
•It can contain both unstructured vector information as well as raster (bitmap)
data

Graphics Tools
Desktop publishing (DTP)
•Developed principally on Macintosh
•Usage: From sketches and mock-ups to fashion, interior,web,coachwork
design.
•Applications: DTP applications are provided by three major market players
- Adobe Illustrator
- Corel Draw
- Macromedia Freehand
Raster applications are mainly
- Corel Painter (oriented towards painting)
-Corel Photo paint.
Main applications work with both raster and vector formats are
- Adobe Photoshop
- Adobe Fireworks

Graphics Tools
Computer-assisted drawing/design (CAD)
•Developed principally on IBM (International Business Machines)
•Usage: CAD applications used in design of complex systems that surpass
human ability Mechanical, Electronic engineering,Building,All types of
graphical representation (instructions for assembly and use)
Applications: The principal mechanical engineering applications
- Pro-Engineer, Catia, Inventor.
The principal building/architectural applications
- ArchiCAD , AutoCAD, Allplan
The principal electronic engineering applications
- Altium Designer, Eagle , Kicad

Graphics Tools
Classification of the different types of ISO graphic

Presentation Tools
Presentation
•ways of communicating ideas and information to a group.
•allows immediate interaction between all the participants.
Presentation Software
•category of application program to create sequences of text and pictures that
tell a story or help support a speech or public presentation of information.
Presentation software can be divided into:
• Business presentation software:
ease- and quickness-of-learning and use. Enables to include images,
sometimes with audio and video developed with other tools.
•Multimedia authoring tools:
create a more sophisticated presentation that includes audio and video
sequences.

Presentation Tools
Presentation elements
A good presentation contains at least four elements:
Presentatio
n Elements
Conten
t
Structure Packaging
Human
Elements

Presentation Tools
Process for creating Presentation using IT Tools
Using Online presentation tools create ,share and monitor:

Presentation Tools
Presentation using IT Tools on various devices

Presentation Tools
Presentation Tools available
A lot of Online presentation tools .
.
.

Online Tools
Online Tools for various specific services

Online Tools
Online Research Tools for Research cycle

Online Tools
Online Research Tools from different educational Research centers and
Institutes

Online Tools
Online Research Tools from different Research Databases to collect
authentic data.

Research Publication Tools
Research Publishing Cycle

Research Publication Tools
Research Publishing packages helps in creating drafts and papers.

Scientific programming Language
MATLAB
MATLAB (MATrix LABoratory)
• high-performance language for technical computing
• computation, visualization, and programming in an easy-to-use
environment
Typical uses include:
• Math and computation
• Algorithm development
• Modelling, simulation, and prototyping
• Data analysis, exploration, and visualization
• Scientific and engineering graphics
• Application development, including Graphical User Interface
building

MATLAB

MATLAB
Some facts for a first impression
• Everything in MATLAB is a matrix !
• MATLAB is an interpreted language, no compilation needed (but possible)
• MATLAB does not need any variable declarations, no dimension
statements, has no packaging, no storage allocation, no pointers
• Programs can be run step by step, with full access to all variables,
functions etc.

MATLAB
MATLAB consists of:
The MATLAB language
a high-level matrix/array language with control flow statements, functions,
data structures, input/output, and object-oriented programming features.
The MATLAB working environment
the set of tools and facilities that you work with as the MATLAB user or
programmer, including tools for developing, managing, debugging, and
profiling
Handle Graphics
the MATLAB graphics system. It includes high-level commands for two-
dimensional and three-dimensional data visualization, image processing,
animation, and presentation graphics.

MATLAB
The MATLAB function library.
a vast collection of computational algorithms ranging from elementary
functions like sum, sine, cosine, and complex arithmetic, to more
sophisticated functions like matrix inverse, Bessel functions, and fast
Fourier transforms as well as special image processing related functions
The MATLAB Application Program Interface (API)
a library that allows you to write C and Fortran programs that interact with
MATLAB. It include facilities for calling routines from MATLAB (dynamic
linking), calling MATLAB as a computational engine, and for reading and
writing MAT-files.

Searching for Publication
• Patent
Databases
• Finding
References
for a given
Paper
• Search
Engines
• Publication
Databases
IEEE
ACM
Springer
Google
IEEE
Patents
Citation
In order to search Authentic information ,four possible Resources are
available.

Plagiarism Types
#1. CLONE
Submitting another’s work, word-for-word,
as one’s own.
#6. HYBRID
Combines perfectly cited sources with
copied passages without citation.
#2. CTRL-C
Contains significant portions of text from a
single source without alterations.
#7. MASHUP
Mixes copied material from multiple
sources.
#3. FIND - REPLACE
Changing key words, phrases but retaining
the essential content of the source.
#8. 404 ERROR
Includes citations to non-existent or
inaccurate information about sources.
#4. REMIX
Paraphrases from multiple sources, made
to fit together.
#9. AGGREGATOR
Includes proper citation to sources but the
paper contains almost no original work.
#5. RECYCLE
Borrows generously from the writer’s
previous work without citation.
#10. RE-TWEET
Includes proper citation, but relies too
closely on the text’s original wording and/or

Creative common used in Resear

Pay Digital Acknowledgment:
Use CCL

Plagiarism Avoidance
How to avoid plagiarism?
By explain where you got your information.
Quoting
•Use quotation marks
whenever quoting.
•Longer quotations should be
indicated by the citation.
•use quotations only when
they directly contribute to
your argument.
•Avoid quotations that only
provide detail, common
knowledge, or information
that can be more effectively
paraphrased.
Paraphrasing and Summarizing
•Paraphrase when you need to
represent another person's ideas and a
quote is not significant or suitable.
•To correctly paraphrase, change both
language and sentence structure.
•Summarize to provide the main points
of another person's argument in a
condensed format, briefer than a
paraphrase.
•Avoid taking notes verbatim or using
the cut & paste tool.
Citing
•acknowledge and cited all
sources of borrowed ideas and
materials.
•Prepared bibliography.

Plagiarism Software's
Always use Plagiarism software to check your papers for fair
use.

Participation and Publications
S.No Activity Title Place Date/Issue
1 Research
Journal
Oriental Journal
of Computer
Science &
Technology
Bhopal Volume 6,
Issue-3,
Sep-2013.
Pgs. 369-376
2 Workshop Workshop on
MATLAB
MANIT Bhopal
Data Mining.
MANIT Bhopal
Cyber Security
Management
MCU Bhopal

Proposed Area of Research
•Cloud Computing:
rapidly developing and excellent promising technology.
Open challenges in cloud computing Research:
•Security & privacy
•Infrastructure:
•Data management
•Interoperability
•Economic challenges
•Legal issues:
•Service management
•Software
•Quality
•Trust

References
• Bassey, M. (1995). Creating Education Through Research: A
Global Perspective of Educational Research for the 21st Century.
Kirklington Moore Press.
• Bassey, M. (1999) Case Study Research in Educational Settings.
Open University Press.
• Carr,W, Kemmis, S. (1993) Action Research in Education. In:
Hammesley, M, Controversies in Classroom Research,
Buckingham; Open University Press
• Cohen, L., Manion, L., and Morrison, K. (2000) Research Methods
in Education. London; Routledge Falmer
• Dadds, M. (2001) Doing Practitioner Research Differently.
Routledge; London and New York
• Elliott, J. (1991) Action Research for Educational Change, London:
Open University Press.
• Farren, M. (2005) Creating a pedagogy of the unique through a
web of betweenness. Education-Line.
http://leeds.ac.uk/educol/documents/149806.htm

IT_Tools_in_Research.ppt

More Related Content

What's hot (20)

Similar to IT_Tools_in_Research.ppt (20)

Recently uploaded (20)

IT_Tools_in_Research.ppt