Seminar Topics For Information Technology

E-INTELLIGENCE

As corporations move rapidly toward deploying e-business systems, the lack of business intelligence facilities in these systems prevents decisionmakers from exploiting the full potential of the Internet as a sales, marketing, and support channel. To solve this problem, vendors are rapidly enhancing their business intelligence offerings to capture the data flowing through e-business systems and integrate it with the information that traditional decision-making systems manage and analyze. These enhanced business intelligence—or e-intelligence—systems may provide significant business benefits to traditional brick-and-mortar companies as well as new dot-com ones as they build e-business environments.Presently the internet and e-Business are growing at an astonishing rate. As the size of the internet increases its reach and thus its business potential also increases. There will be tremendous competition an all dotcom companies to stay ahead. In such a fiercely competitive marketplace e-Intelligence solutions will become a necessity to stay ahead. Future e-Intelligence techniques will be aimed at optimizing whole web content depending on users.

Wireless Application Protocol (WAP)

The Wireless Application Protocol (WAP) is a new advanced intelligent messaging service for digital mobile phones and other mobile terminals that will allow you to see Internet content in special text format on special WAP-enabled mobile phones.Enabling information access from handheld devices requires a deep understanding of both technical and market issues that are unique to the wireless environment. The WAP specification was developed by the industry’s best minds to address these issues.Wireless devices represent the ultimate constrained computing device with limited CPU,memory and battery life and a simple user interface. Wireless networks are constrained by low bandwidth, high latency and unpredictable availability and stability. The WAP specification addresses these issues by using the best of existing standards and developing new extensions when needed. The WAP solution leverages the tremendous investment in web servers, web development tools, web programmers and web applications while solving the unique problems associated with the wireless domain. The specification ensures that this solution is fast, reliable and secure. The WAP specification is developed and supported by the wireless telecommunication community so that the entire industry and its subscribers can benefit from a single, open specification.

Voice portals

In its most generic sense a voice portal can be defined as “speech enabled access to Web based information”. In other words, a voice portal provides telephone users with a natural language interface to access and retrieve Web content. An Internet browser can provide Web access from a computer but not from a telephone. A voice portal is a way to do that. The voice portal market is exploding with enormous opportunities for service providers to grow business and revenues. Voice based internet access uses rapidly advancing speech recognition technology to give users any time, anywhere communication and access-the Human Voice- over an office, wireless, or home phone. Here we would describe the various technology factors that are making voice portal the next big opportunity on the web, as well as the various approaches service providers and developers of voice portal solutions can follow to maximize this exciting new market opportunity.The LPC features were very popular in the early speech-recognition and speaker-verification systems. However, comparison of two LPC feature vectors requires the use of computationally expensive similarity measures such as the Itakura-Saito distance and hence LPC features are unsuitable for use in real-time systems. Furui suggested the use of the cepstrum, defined as the inverse Fourier transform of the logarithm of the magnitude spectrum, in speech-recognition applications. The use of the cepstrum allows for the similarity between two cepstral feature vectors to be computed as a simple Euclidean distance. Furthermore, Atal has demonstrated that the cepstrum derived from the LPC features results in the best performance in terms of FAR and FRR for a speaker verification system. Consequently, we have decided to use the LPC derived cepstrum for our speaker verification system.

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