Spring 2012 Master of Computer Application (MCA) Semester VI MC0086 Digital Image Processing 4 Credits (Book ID: B 1007)

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Oct 29, 2013 (3 years and 5 months ago)

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Spring 2012

Master of Computer Application (MCA)


Semester VI

MC0086


Digital Image Processing


4 Credits (Book ID: B 1007)


Book ID: B 1007

Each Question carries 10 Marks 6 X 10 = 60 Marks

1. Explain the fundamental steps in digital image processing. What are the Components of an
Image Processing System?

2. What is the difference between Spatial resolution and Gray
-
Level Resolution.

3. Explain Histogram modification technique. Explain diff
erent linear methods for noise
cleaning?

4. Which are the two quantitative approaches used for the evaluation of image features?
Explain. Describe various texture features of historical and practical importance.

5.
Write a note on Luminance Edge Detector

Performance? Explain with a method.

6. What is thresholding? Explain various types of thresholding.


Spring 2012

Master of Computer Application (MCA)


Semester VI

MC0086


Digital Image Processing


4 Credits (Book ID: B 1007)

Assignment Set


2 (60

Marks)

1. Explain the process of formation of image in human eye. Discuss how human eye adapts to
brightness.

2. Describe digital Image representation. Explain the following terms.

i) Adjacency ii) Connectivity iii) Regions and Boundaries


3. Explain
with diagram Digital image restoration model.

4. Explain basic morphological operations on gray scale images.

5. Describe several texture features of historical and practical importance.

6. Explain Haar transform. Explain different methods for wavelet t
ransform in two dimensions.

















Spring 2012

Master of Computer Application (MCA)


Semester VI

MC0087


Internetworking with TCP/IP


4 Credits (Book ID: B 1008)

Assignment Set


1 (60 Marks)

Book ID: B 1008

Each Question carries 10 Marks 6 X 10 = 60 Marks

1. Explain TCP/IP protocol suit. Explain the function of Network interface layer, network layer
and transport layer.

2. Discuss ISDN, X.25, Frame relay and ATM.

3. Discuss Class Based IP Address. Write sh
ort notes on RARP, BOOTP, DHCP

4. Explain acknowledgements and retransmissions process in TCP.

What is congestion? Mention few algorithms to overcome congestion.

5. Differentiate between permanent and transient host groups. What is IGMP snooping? Bring
out the differences between two PM modes.

6. Discuss the common attacks against the networks security. Explain the several roles involved
in the payment process defined by SET specification.


Spring 2012

Master of Computer Application (MCA)


Semester VI

MC0087


Internetworking with TCP/IP


4 Credits (Book ID: B 1008)

Assignment Set


2 (60 Marks)

1. List common terms and concepts in TCP/IP and explain them. Explain IEEE 802 Local Area
network.

2. Ex
plain IP datagram format. Explain fragmentation field of IP header in detail.

3. What is CIDR? Explain.


An organization is granted the block 211.17.180.0/24. The administrator wants to

create 32 subnets.

a. Find the subnet mask.

b. Find the number of

addresses in each subnet.

c. Find the first and last addresses in subnet 1.

d. Find the first and last addresses in subnet 32.

4. What is Enhanced Interior Gateway Routing Protocol? Explain the salient features of EIGRP
and OSPF.

5. Discuss in detail,

the RSVP message format. Discuss the approaches for connecting Intserv
networks with Diffserv networks.

6. Clearly differentiate between recursive and iterative DNS query. Discuss the various steps in
domain name resolution. Explain various steps involve
d in SMTP mail transaction flow.











February 2010

Master of Computer Application (MCA)


Semester 6

MC0088


Data Mining


4 Credits
(Book ID: B1009)

Assignment Set


1 (60 Marks)

Answer all Questions Each Question carries TEN Marks

1. Explain the following with respect to Data Mining:

A) Data Mining and knowledge Discovery B) Data Mining and OLAP

2. Explain the following with respect to Multidimensional Data Model:

A) Star Schema B) Snowflake Schema C) Fact Constellations

3. Expl
ain:

A) Business Intelligence Tools

B) Business Intelligence VS Data Warehouse

4. Define Data Cleaning. Describe the following with respect to data cleaning:

A) Missing Values B) Noisy Data C) Inconsistent Data

5. Describe the following Data Mining Te
chniques:

A) Association Rules B) Classification C) Regression

6. Describe the following:

A) Market Basket Analysis B) Association Rule



February 2010

Master of Computer Application (MCA)


Semester 6

MC0088


Data Mining


4 Credits
(Book ID: B1009)


Assignment Set


2 (60 Marks)

Answer all Questions Each Question carries TEN Marks

1. Explain various clustering methods with relevant real time examples.

2. Explain the theory and applications of Classification by Decision Tree Induction.

3. Explain the various Categories of Web Mining along with their real time applications.

4. Define Multimedia Data Mining. Also explain the theory and applications of the same.

5. Describe various business applications of Data Mining.

6. Discuss any sam
ple case study on data mining.