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Tuesday 10 July 2012

Spring 2012 Master of Computer Application (MCA) – Semester VI FOR ANSWERS contact us at assignmentssolution@gmail.com

Spring 2012 Master of Computer Application (MCA) – Semester VI MC0086 – Digital Image Processing – 4 Credits (Book ID: B 1007) Assignment Set – 1 (60 Marks) 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 different 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) Book ID: B 1007 Each Question carries 10 Marks 6 X 10 = 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 transform 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 short 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) Book ID: B 1008 Each Question carries 10 Marks 6 X 10 = 60 Marks 1. List common terms and concepts in TCP/IP and explain them. Explain IEEE 802 Local Area network. 2. Explain 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 involved 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. Explain: 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 Techniques: 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 sample case study on data mining.

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