Category: CSE Paper Presentations

Introduction to Seminar Topic on ERP SAP:

ERP SAP is an integrated enterprise software planning application which targets the business software requirements including small scale to large scale industries and organizations in all sectors. ERP SAP is fully loaded software package which includes inventory reduction lead time reductions, business processes, customer service and profitability management which can enhance the business needs in the competitive world.

Brief on SAP:

SAP is system applications and products developed by IBM employees in the year 1970 and have undergone many changes in the coming years. It consists of ABAP in which all the upper layer applications are developed like business applications, sales and management and finance and human resources.

The basis is of kernel or middle layer which interfaces with the basic operating system and has system administration tools and handles batch jobs and cross module applications. The SAP follows a client server approach where the work load gets distributed across several cooperating computer programs. We find a SAP dispatcher which is a control program which manages the resources of the applications and it acts as a transaction monitor which sends the information to the work process and also receives them.

The SAP uses a message server service for processing the internal messages. A database interface is used which can support relational database systems of different vendors and the database interface converts the SQL requests into its own database requests.

Conclusions:

The ERP SAP is the best application to meet the business needs and by using this we can easily manage the data of the customers. The SAP consists of HR module application which can manage the organizations human resource requirements like maintain payroll and accounts.

 Download  Seminar Report on ERP SAP.

Introduction to DART:

In the recent years due to the occurrence of tsunami thousands   lost their lives and caused a lot of destruction in the coastal areas. In order to save the lives of the people the occurrence of the tsunami should be known in advance which is possible by DART.

The deep ocean assessment systems are mainly used for detecting signals in advance which cause the occurrence of tsunami. The DART system monitors the water levels in the oceans and also checks the relevant location for the occurrence of tsunami propagation.

Working of DART:

DART system consists of sensors which are placed at the bottom of the sea which detect the signals which cause earth quakes in the sea bed and transmit the data. A specific acoustic data transmission protocol is used in the design of DART system.

The olden DART systems deployed hundred of buoys for the research in oceanographic and metro logical research.

The recent DART systems are using only six buoy array method for the calculation of the data. Software is developed for the tsunami detection algorithm which is present in tsunameter device which monitors the pressure and the water level changes in the ocean and detects the signals and sends the information analogously to the transmitting device for giving warning alarm.

Advantages of using DART:

This is an efficient device for the detection of tsunami signals and generates a warning alarm. As the device is capable of detecting low wavelength signals which can even detect the earthquake signals which are faster than tsunami signals. this device can also be used for the research in metro logical and oceanography as it can monitor the water levels and the pressure in the oceans.

 Download  Seminar Topic and Report on Deep Ocean Assessment And Reporting Of Tsunamis.

Related Projects Links:

Tsunami and Earthquake Alert System Through Iridium Satellite System

Introduction to DDR2 SDRAM:

The development DRAM is double data rate two synchronous dynamic random access memory. It has many advantages when compare to dynamic random access memory. It belongs to the family of SDRAM and has many DRAM implementations. In this data is transmitted twice per one clock. In this paper we will discuss about the design and processing speed of synchronous dynamic random access memory.

Brief on DDR2 SDRAM:

The DDR has 2 bits wide of prefetch and DDR2 has 4 bits wide prefetch buffer. The DDR2 consumes less power has the operating voltage dropped from 2.5v for DDR to 1.8V. Fine pitch ball grid array package is present on the DDR2 chips and these occupy very less memory modules.

These have lower thermal resistance between the packages which prevents the ship from overheating.  The FBGA packages have very shorter distances which develops the lower inductance property due to which the unwanted distortion signals gets eliminated. The DDR2 employs CAS and adaptive latency which makes the command and data bus efficient for sustainable bandwidths. Differential strobe signals are used by DDR2 which have higher drive performance due to which higher transition time responses are achieved.

Advantages of DDR2 SDRAM:

The DDR2 achieves higher bandwidths than the available random access memory models. It consumes very less power as it operates at a low operating frequency of 1.8V.      Due to the fine pitch ball grid array package present in the design it offers higher densities. As the mirror signals are eliminated the noise present is very negligible. 

 Download  Seminar Topic on DDR2 SDRAM.

Introduction to Seminar Topic on Distributed Database Management System:

Distributed database has become wide spread due to the growing requirement in the data base management systems. In order to increase the response times of the systems the distributed database is employed. Distributed database is the best method for handling the data in the network and it reduces the load on the single server. A central control will be present to organize the distributed data. In this paper we will see how the data gets distributed over the network and how they are used when they are required.

Brief into the distributed database:

In the distributed database the entire data will not be connected to a single cpu they get distributed over the entire network. The operations occurring on the network gets distributed when the application tasks run. This design uses a distributed processing architecture for running the front end and back end tasks.

By the distribution database the user will be transparent and cannot know the physical location of the data. The central link between the user and the distributed data is a database link, which allows the user to access the logical database.

Advantages and disadvantages:

Distributed database increases the reliability and the availability of the databases. As the data gets distributed in the network the response time gets improved. By employing the distribution database we can perform continuous processing of the data. It does make the make the users to rely on the central site for the databases. As the data gets distributed over the network it becomes complex to provide security to the distributed data.

 Download  Seminar Report on Distributed Database Management System.

Introduction to Seminar on Data Structures:

A data structure allows organizing the data in a considered manner and creates relationship with each other. Data structures are very important for handling the data in all platforms. Arrays are used for storing similar type of data but by using data structures we can store data which is not similar. In this paper we will see how dissimilar data is stored using structures and the applications of structures in various fields.

Brief on data structures:

We often come across situations we the data is of different types of entities and we store these data by constructing an array to each entity but the code length becomes huge and the processing speed gets reduced so we use data structures where we can declare all the entities in a structure and the processing speed is also increases. We can even declare in structures for storing the similar elements. The structure elements are always stored in contagious memory locations.

The major application of data structures is in relational database management systems for storing the organizational details and employ details etc. structures can also be screen interactive applications. For performing the insertion and deletion operations on the nodes we use binary tree structure in data structures.

Applications of Data structures:

Data structures are extensively used in compiler design and operating systems and in artificial intelligence systems. In data base management systems for storing of huge data in volumes we use data structures. Data structures are also used in numerical analysis packages and in statistical analysis. Data structures are also used for purpose of simulation. 

 Download  Seminar on Data Structures.

Introduction to Paper Presentation on Data Ware Housing and Mining in Banking and Finance Sectors:

Banking and financial sectors are maintaining huge electronic data repositories which store valuable bits of information. So it is very difficult for the human analysts to make decisions patterns with the huge data so data ware housing and data mining concepts are used to increase the performance. In this paper we will discuss the areas of implementation of data mining techniques like portfolio management and risk management, trading and customer profiling in order to increase the business performance.

Brief in to data ware housing and data mining concepts:

Various risk management techniques are used in business management for generating patterns and for exposure of the business. To make integrated measurements we will use market and credit risks methods which focus on the financial models which interact with the overall market. By credit risk method lending decisions are made and they identify the risk in lending to the perspective borrower.

The data mining technique gives a perfect scenario analysis of the capabilities concerned and their asset prices and returns and the risk involved in the market. Portfolio method is used by the risk management which generates the risks at various levels and also stimulates market conditions based on the varying interest and the exchange rates.

Advantages of using Data mining techniques:

By using data mining techniques we can identify the various classes of consumers based on the product by which we can generate a better revenue management. The data mining technique helps to solve the problems generated, as it generates patters on the causality and the correlations which cannot be solved immediately but the sequential checking of the pattern we can come to solution.

 Download  Paper Presentation Report on Data Ware Housing and Mining in Banking and Finance Sectors.

Introduction to Data Transmission Using Multitasking Sockets:

The transmission of data through multitasking sockets is more flexible when compare to other transmission methods. This provides a high security for the data to be transmitted. By using multitasking sockets for data transmission we can establish more number of connections which is not possible in other transmission sockets. In this paper we will discuss how data is transmitted by using multitasking sockets and about the advantages of using multitasking sockets when compared to that of other transmission sockets.

Working process of multitasking sockets:

In this we find transmitting sockets at both the client side and the server side. The server accepts the connections from the clients and regulates the flow of data. By using multitasking sockets we can regulate the flow of data without the need of connection. These sockets use transmission control protocols for the regulating the flow the data.

The sockets can work under any platform and the logic designs of the sockets are programmed using java. These sockets work under normal hardware specifications to higher specified equipment.

Advantages of using multitasking sockets:

By using multitasking sockets we can communicate between two applications without the need of establishing a connection.  We can make a inter process communication between two applications by employing multitasking sockets. 

As the UDP protocols are used in the multitasking sockets it establishes the connections to the peers and disconnects it automatically upon requirement. Thus we can conclude that multitasking sockets are more advantageous and has fewer limitations when compare to that of other transmission sockets.

 Download  Data Transmission Using Multitasking Sockets Seminar Abstract.

Introduction to  Seminar Topic on Data Security in a Network Transmission:

The main objective of this design is to provide data security in a transmission networks. In this paper we will see about providing security to internet transmission networks. Security measures are taken for the flow of data so as to prevent the data getting hacked from hackers. Providing data security has become a high priority due to rapid development and growing use of mobile and wireless communication networks.

Security tools for providing data security:

Security issues arise when there are more no of requests on a server as its capability goes down and data can misplace and it does have a control over the data sent. Due to IP spoofing the other user can use the service which is a security threat for the network. Due to session hijacking the hackers gets control over the sensitive data and when the user signs off his session the hackers gets login and perform any illegal activity.

By using security firewalls we may have very less chances for the data getting hacked as the firewalls stops the unwanted requests while we are in a session. By making regular backups we can protect the data streams from security threats. We can avoid security breaches by regularly updating the database packages and the operating system.

Advantages of providing data security:

Security tools in data transmission networks are prominent for providing the requested data only for the authorized users. Proving data security is very important in banking and companies otherwise the data can be easily hacked and the hackers can misuse the data. Several companies are spending a lot of money to provide data security and many countries are incurring billions of losses due to security threats.

 Download  Latest CSE 2012 Seminar Topic on Data Security in a Network Transmission.