The document discusses several MCA projects including: 1) A medical information integration model using cloud computing to provide storage and computing capacity for medical data analysis. 2) A customer relationship and warehouse management system to optimize revenue and customer satisfaction. 3) An issue tracking, managing, monitoring and reporting system for an IT department.

1. MCA Projects
Medical Information Integration Based Cloud Computing
Abstract—Current medical image processing applications require management of huge amounts
of data and executive high-performance computing. How to manage and analysis this large
amount of data effectively is a major challenge. This paper shows the initial formulation of
medical information integration model, it is designed to help medical workers and medical
departments to share data, integrate resources and analyses data. The model using the technology
of cloud computing to provide huge storage resources and powerful computing capacity. The
application level of this system is on the basis of service. Hadoop cluster is the main calculation
module and storage unit. MapReduce as the distributed computing technology.
Customer Relationship and Warehouse Management
Customer Relationship and Warehouse Management is a business strategy designed to optimize
revenue and increasing customer satisfaction, attracting new customers, retaining existing
customers and understanding customers better. A successful CRM implementation can improve
the business process by improving selling and servicing functions. Because of the Internet,
markets move faster and competition is much fiercer. Currently, they employ diverse information
systems to maintain different aspects of customer relationships. Separate systems often give
incomplete and outdated information on the customer. CRM provides an integrated system to
maintain good relationships with customers.
ISSUE TRACKING, MANAGING MONITORING AND REPORTING SYSTEM
Issue Manager is a web-based application designed to help a workgroup keep track of issues and
tasks via a shared central resource. The system was designed specifically with the IT department
in mind, where quick access to shared data and history is a requirement, both from a internal
organizational perspective, as well as to fulfill the needs of the customers. The data is stored
centrally on the server, which make it specially suitable for distributed teams who can use just
the web browser to access it. No local software needs to be installed on the client and all web
browsers are supported. The application itself can be installed virtually on any web server,
whether internal within the organization, or external, hosted by a web hosting company. Several
distribution versions are provided, including ASP and C# for installation Windows servers.

2. Additionally, you may add your own logo in the header, change color scheme via CSS
(Cascading Style Sheets), or even remove, add or rename fields shown on the screen.
Issue Tracking features:
Secure, multi- level web access via login authentication Issue assignment by person, priority and
status Full text search Comprehensive, sortable issue grid with summary by status Bookmarks
for rapid access to commonly used queries Issue history tracking - each response is individually
tracked Single click export of selected records to MS Excel Color-coded priorities with custom
color setup Fully customizable look and feel via HTML templates and Cascading Style Sheets
Full compatibility with all web browsers
Support for ALL databases, including MS SQL, MS Access, etc.
Source code in ASP.NET/C# and ASP/VBScript
ONLINE TERMINAL IMPORT AND EXPORT PROCUREMENT MANAGEMENT
SYSTEM
It involves the EXIM document preparation which consists of the container details, in which
vessel it is to be loaded or unloaded, from which container handling agent (CHA), which main
line operator (MLO) has authorized .It also mentions the yard and ship planning for the imported
containers and the containers to be exported resp ectively. It also calculates the store rent for
imported and exported containers. For the imported containers the rent is calculated from the
date-time of containers placed in the yard to the date-time of containers has been gate-out. For
the exported containers the rent is calculated from the date-time of containers has been gate- in to
the date-time of containers has been loaded in the vessel. The details about the vessels such as
vessel number, vessel name, vessel voyage number, vessel capacity, from loca tion, to location
was collected from the vessel operator by interview method. Also the details of vessel operator
namely vessel operator code, vessel operator name, address, city, country, fax number, phone
number, e- mail and contact person.
INTRANET COMMUNICATION, CONSULTATION, DATA SHARING AND
HELPDESK MANAGEMENT SYSTEM
This Project is aimed to developing the Online Help Desk (OHD) for the Software Company to
the facilities in the office. This is an online application that can be accessed throughout the
Company. This system can be used to automate the workflow of service requests for the various
facilities in the office. This is one integrated system that covers different kinds of facilities like
data sharing inside the company, getting the information from the higher authority and send the
reply. Employee can log in a request for service for any of the supported facilities. These
requests will be sent to the concerned people, who are also valid users of the system, to get them

3. resolved. There are features like email notifications/reminders, addition of a new facility to the
system, report generators etc in this system. There are registered people in the system (HR,
System Admin, Team Leader, team Members). Some of them are responsible for maintaining the
facilities (like, the System-assistant is responsible for keeping the System ready with all the
equipment in proper condition, the Admin is responsible for taking forward Employee’
complaints/requests to the faculty/administration etc).
INVENTORY CONTROL MANAGEMENT SYSTEM (WINDOWS BASED)
An inventory management system automatically monitors inventory amounts, provides
information concerning inventory, and decides if an order for replacement inventory should be
placed. The system includes storage for inventory, an indicator for monitoring and reporting the
level of current inventory, and a controller for receiving information from different inventory
suppliers and for integrating such information with information on current inventory amounts
and estimated future use to decide if an order for replacing inventory should be made. An order
is placed automatically to a supplier and the progress for the delivery of replacement inventory is
automatically monitored. A method using this system for managing inventory includes the steps
of automatic gathering information about the current inventory and deciding whether and when
replacement inventory should be ordered.
ONLINE JOB PROVIDER AND SEARCH PORTAL
This project is aimed at developing online for the group of Job Provider. This is a web-based
tool. Any user can post the resume and can search the jobs. The user can attend the examinations
and results can view by registered user. This is useful for a office, Consultancies. Admin can
view the Company details and the can providing Authority to the users and their employees. A
facility for this project is Search the job by registered user and also searches suitable candidates
for suitable job by the job provider.
ONLINE COLLEGE COUNSELING SYSTEM
The objective of the project is to develop an online counseling system for selecting college-
counseling process. Using this system we can control the whole counseling process. This project
involves both the administrator and the user to access the system. The users are allowed to
perform some limited operations like
College details
Counseling schedule
Admission details

4. But the administrator can access the system directly to perform such operations like
Mark entry
Counseling date allotments
Counseling process
This system automatically calculates the eligibility and the cut off marks of the students.
E-BANKING TRANSACTION SYSTEM WITH PORTAL FOR BANK OFFICIALS AND
CUSTOMERS
The project titled “E-Banking Transaction System” is designed using Active
Server Pages .NET with Microsoft Visual Studio.Net 2003 as front end and Microsoft SQL
Server 2000 as back end which works in .Net framework version 1.1. The coding language used
is Visual Basic .Net.
The project contains customer account creation, their translation such as deposits,
withdrawal and interest entries through online by the bank networks. The customer of one branch
can make translation in any other branches of the Bank.
At any time, the current account status of any customer of any branch can be viewed in
any / all branches by administrator, staff, and customer. The project is mainly designed for
reducing the burdens of the bank officials. The transaction could be made only through the bank
officials. The customers can only view the services provided by the bank. Also the customer can
view their account details anywhere.
NETWORK TRAFFIC ANALYSIS AND INTRUSION DETECTION USING PACKET
SNIFFER
Computer software that can intercept and log traffic passing over a digital network or part of a
network is better known as packet sniffer. The sniffer captures these packets by setting the NIC
card in the promiscuous mode and eventually decodes them. The decoded information can be
used in any way depending upon the intention of the person concerned who decodes the data (i.e.
malicious or beneficial purpose). Depending on the network structure one can sniff all or just
parts of the traffic from a single machine within the network. However, there are some methods
to avoid traffic narrowing by switches to gain access to traffic from other systems on the
network. This paper focuses on the basics of packet sniffer and its working, development of the
tool on Linux platform and its use for Intrusion Detection. It also discusses ways to detect the
presence of such software on the network and to handle them in an efficient way. Focus has also
been laid to analyze the bottleneck scenario arising in the network, using this self developed

5. packet sniffer. Before the development of this indigenous software, minute observation has been
made on the working behavior of already existing sniffer software such as wireshark (formerly
known as ethereal), tcpdump, and snort, which serve as the base for the development of our
sniffer software. For the capture of the packets, a library known as libpcap has been used. The
development of such software gives a chance to the developer to incorporate the additional
features that are not in the existing one.
SOUND-BASED MULTIMODAL PERSON IDENTIFICATION FROM SIGNATURE
AND VOICE
Person identification as a security means has a variety of important applications. Many
techniques and automated systems have been developed over the past few decades; each has its
own advantages and limitations. There are often trade-offs amongst reliability, the ease of use,
ethical/human rights issues, and acceptability in a particular application. Multimodal
identification and authentication can, to some extent, alleviate the dilemmas and improve the
overall performance. This paper proposes a new method of the combined use of signatures and
utterances of pronounced names to identify or authenticate persons. Unlike typical signature
verification methods, the dynamic features of signatures are captured as sound in this paper. The
multimodal approach shows increased reliability, providing a relatively simple and potentially
useful method for person identification and authentication
Online Movie reservation system using EJB (Enterprise Java Beans )
t is concept of developing a web portal, where a customer can book movie tickets in theatres that
are made available in the site. The transfer of tickets is also done immediately, i.e., as soon as the
reservation is confirmed .This involves a network of cities. The following should be facilitated
on the portal for user’s convenience. Here we using enterprise java beans for the server. It will
act as a client server architecture. We can send acknowledgement to the customer using SMS and
e-mail systems.
• Availability of tickets on mentioned date and time in specified City
• Online Bookin....
DATABASE MIGRATION- REAL-TIME CROSS-PLATFORM MIRRORING
Project will run on database migration can take place over LAN or WAN co nnection without
disruption to the network users.
Warehouse Management System (WMS)
Introduction
The majority of the problems that occur in the warehouse occur because of a lack of

6. control: a lack of inventory control, operational control and/or management control. To become a
dynamic, consistent organization, all the operations must be under “control”. In order to achieve
this control, all the tools and technology available has to be used to get control and manage the
warehouse operations. A control system is a means, mechanism or procedure by which we
manage these operations. There are three basic objectives of a control system, either manual or
computerized: To identify and coordinate the work that has to be performed.
To direct the achievement of the work to maximize performance (productivity of warehouse
resources and customer satisfaction) and minimize or eliminate human errors.
To report the status of the work that needs to be, or was, done
Graphical Password Authentication using Cued Click Points (CCP)
Various graphical password schemes have been proposed as alternatives to text-based passwords.
Research and experience have shown that text-based passwords are fraught with both usability
and security problems that make them less than desirable solutions. Psychology studies have
revealed that the human brain is better at recognizing and recalling images than text graphical
passwords are intended to capitalize on this human characteristic in hopes that by reducing the
memory burden on users, coupled with a larger full pas....
A Web Search Engine-Based Approach to Measure Semantic Similarity between Words
ABSTRACT
Semantic similarity measures play important roles in infor- mation retrieval and Natural
Language Processing. Previous work in semantic web-related applications such as community
mining, relation extraction, automatic meta data extraction have used various semantic similarity
measures. Despite the usefulness of semantic similarity measures in these applications, robustly
measuring semantic similarity between two words (or entities) remains a challenging task.
We propose a robust semantic similarity measure that uses the information available on the Web
to measure similarity between words or entities. The proposed method explo its page counts and
text snippets returned by a Web search engine. Various similarity scores for two given words P
and Q, using the page counts for the queries P, Q and P AND Q. Moreover, we propose a novel
approach to compute semantic similarity using automatically extracted lexico-syntactic patterns
from text snippets. These different similarity scores are integrated using support vector
machines, to leverage a robust semantic similarity measure. Experimental results on Miller-
Charles benchmark dataset show that the proposed measure outperforms all the existing web-
based semantic similarity measures by a wide margin, achieving a correlation coefficient of
0:834. Moreover, the proposed semantic similarity measure significantly improves the accuracy
(F -measure of 0:78) in a community mining task, and in an entity disambiguation task, thereby

7. verifying the capability of the proposed measure to capture semantic similarity using web
content
Analysis on Credit Card Fraud Detection Methods
Abstract—Along with the great increase in credit card transactions, credit card fraud has
become increasingly rampant in recent years. In Modern day the fraud is one of the major causes of
great financial losses, not only for merchants, individual clients are also affected. Three methods to
detect fraud are presented. Firstly, clustering model is used to classify the legal and fraudulent
transaction using data clusterization of regions of parameter value. Secondly, Gaussian mixture model is
used to model the probability density of credit card user’s past behavior so that the probability of
current behavior can be calculated to detect any abnormalities from the past behavior. Lastly, Bayesian
networks are used to describe the statistics of a particular user and the statistics of different fraud
scenarios. The main task is to explore different views of the same problem and see what can be learned
from the application of each different technique. Abstract—Along with the great increase in credit card
transactions, credit card fraud has become increasingly rampant in recent years. In Modern day the
fraud is one of the major causes of great financial losses, not only for merchants, individual clients are
also affected. Three methods to detect fraud are presented. Firstly, clustering model is used to classify
the legal and fraudulent transaction using data clusterization of regions of parameter value. Secondly,
Gaussian mixture model is used to model the probability density of credit card user’s past behavior so
that the probability of current behavior can be calculated to detect any abnormalities from the past
behavior. Lastly, Bayesian networks are used to describe the statistics of a particular user and the
statistics of different fraud scenarios. The main task is to explore different views of the same problem
and see what can be learned from the application of each different technique.
MOTION HUMAN DETECTION BASED ON BACKGROUND SUBTRACTION
According to the result of moving object detection research on video sequences, this
paper proposes a new method to detect moving object based on background subtraction. First of
all, we establish a reliable background updating model based on statistical and use a dynamic
optimization threshold method to obtain a more complete moving object. And then,
morphological filtering is introduced to eliminate the noise and solve the background disturbance
problem. At last, contour projection analysis is combined with the shape analysis to remove the
effect of shadow, the moving human body are accurately and reliably detected. The experiment
results show that the proposed method runs quickly, accurately and fits for the realtime detection.