logging in or signing up soft computing dwarak1215 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Copy Does not support media & animations WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 6823 Category: Science & Tech.. License: All Rights Reserved Like it (1) Dislike it (0) Added: February 07, 2011 This Presentation is Public Favorites: 10 Presentation Description No description available. Comments Posting comment... By: gilldacosta5 (3 month(s) ago) hi very nice Saving..... Post Reply Close Saving..... Edit Comment Close By: k_dagar99 (13 month(s) ago) hiiiiii Saving..... Post Reply Close Saving..... Edit Comment Close By: koina (19 month(s) ago) i wnt to down load this Saving..... Post Reply Close Saving..... Edit Comment Close By: sonu204 (20 month(s) ago) hai its super Saving..... Post Reply Close Saving..... Edit Comment Close By: ashanand (26 month(s) ago) jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj Saving..... Post Reply Close Saving..... Edit Comment Close Premium member Presentation Transcript Slide 1: 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 Slide 2: CONTENTS INTRODUCTION DESCRIPTION APPLICATIONS ADVANTAGES DISADVANTAGES CONCLUSION Slide 3: 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 Slide 4: DESCRIPTION ARCHITECTURE Slide 5: THE REASONER Slide 6: 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 Slide 7: 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 Slide 8: TECHNICAL ISSUES Noisy images possibly infinitely large image set Accuracy and speed compromise Imprecise data Slide 9: APPLICATIONS Heavy industry Home appliances Automobiles Spacecrafts Statistics Medicine Slide 10: ADVANTAGES Models base on human reasoning Models can be Linguistic Simple Good in practice fast when computing Slide 11: DISADVANTAGES The dialogue system is not user friendly It is not following multiple approaches It lacks the tree like structure Slide 12: 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. Slide 13: Queries…? Slide 14: THANQ You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
soft computing dwarak1215 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Copy Does not support media & animations WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 6823 Category: Science & Tech.. License: All Rights Reserved Like it (1) Dislike it (0) Added: February 07, 2011 This Presentation is Public Favorites: 10 Presentation Description No description available. Comments Posting comment... By: gilldacosta5 (3 month(s) ago) hi very nice Saving..... Post Reply Close Saving..... Edit Comment Close By: k_dagar99 (13 month(s) ago) hiiiiii Saving..... Post Reply Close Saving..... Edit Comment Close By: koina (19 month(s) ago) i wnt to down load this Saving..... Post Reply Close Saving..... Edit Comment Close By: sonu204 (20 month(s) ago) hai its super Saving..... Post Reply Close Saving..... Edit Comment Close By: ashanand (26 month(s) ago) jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj Saving..... Post Reply Close Saving..... Edit Comment Close Premium member Presentation Transcript Slide 1: 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 Slide 2: CONTENTS INTRODUCTION DESCRIPTION APPLICATIONS ADVANTAGES DISADVANTAGES CONCLUSION Slide 3: 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 Slide 4: DESCRIPTION ARCHITECTURE Slide 5: THE REASONER Slide 6: 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 Slide 7: 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 Slide 8: TECHNICAL ISSUES Noisy images possibly infinitely large image set Accuracy and speed compromise Imprecise data Slide 9: APPLICATIONS Heavy industry Home appliances Automobiles Spacecrafts Statistics Medicine Slide 10: ADVANTAGES Models base on human reasoning Models can be Linguistic Simple Good in practice fast when computing Slide 11: DISADVANTAGES The dialogue system is not user friendly It is not following multiple approaches It lacks the tree like structure Slide 12: 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. Slide 13: Queries…? Slide 14: THANQ