soft computing

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SOFT COMPUTING IN INTELLIGENT MULTI-MODAL SYSTEMS PRIYADARSHINI ENGINEERING COLLEGE OF ENGG & TECHNOLOGY by T.VISHNU VARDHAN REDDY Project Guide IVth I.T (MRS.CH.MYDHILY ) 07R61A1258

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CONTENTS INTRODUCTION DESCRIPTION APPLICATIONS ADVANTAGES DISADVANTAGES CONCLUSION

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INTRODUCTION AI and Soft Computing for representation and reasoning User interfaces for effective communication channels between the user and the system Enhancing standard devices such as keyboard and mouse Non-standard ones such as speech and vision

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DESCRIPTION ARCHITECTURE

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THE REASONER

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Fuzzy temporal reasoning module receives time-stamped events from various modalities Query pre-processing module a sentence in natural language from is converted to query Constraint checking module examines the content of the queries

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WIZARD is at the heart of the reasoner and is the module that resolves ambiguities post-processing module simply converts the complete queries in a form suitable for the application

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TECHNICAL ISSUES Noisy images possibly infinitely large image set Accuracy and speed compromise Imprecise data

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APPLICATIONS Heavy industry Home appliances Automobiles Spacecrafts Statistics Medicine

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ADVANTAGES Models base on human reasoning Models can be Linguistic Simple Good in practice fast when computing

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DISADVANTAGES The dialogue system is not user friendly It is not following multiple approaches It lacks the tree like structure

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CONCLUSION Soft computing techniques have been used at the interface for temporal reasoning, approximate query matching. We plan to investigate the following improvements: The temporal reasoner can be used more extensively in conflict resolution The dialogue system can be improved to become more user friendly.

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Queries…?

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THANQ