Honeywell International Inc.

Sreedharan Venkataraman

Sindhu Joseph

Prabhat Ranjan

Christopher D Martin

Ajay N Nair

Wei Hua

Liwen Yu

Upender Paravastu

Lingathurai Palanisamy

Robert Klamka

Barnali Chetia

James Barrette

An intuitive dashboard framework for creating, managing and publishing a collection of visualization gadgets for critical environments. It may further reveal intelligent gadgets to visualize critical environmental data in wet chemistry laboratories, and a healthcare and life science environment that are easy to configure, customize and deploy for a web dashboard presentation.

Dashboard framework for gadgets

An intelligent information-mining system extracts desired intelligent information from unstructured text data in documents to categorize the unstructured text data based on the extracted desired intelligent information. This is accomplished by obtaining unstructured text data from documents in an electronic format. The obtained unstructured text data is then transformed into unstructured neutral format data. The transformed unstructured neutral format data is then converted into structured data based on desired intelligent information. Desired intelligent information is then extracted from the structured data by using a multilayer self-organizing maps (MSOM) algorithm.

Intelligent retrieval and classification of information from a product manual

A system and a method for an automated intelligent information mining includes receiving unstructured text from various text sources; extracting multiple key-phrases from the unstructured text; generating template and dynamic information contextual relation maps by mapping the extracted key-phrases to three-dimensional maps using a self organizing map, and a gaussian distribution technique. Further, the technique includes forming word clusters and constructing corresponding key-phrase frequency histograms for each of the generated contextual relation maps. Template and dynamic information three-dimensional structured document maps from the constructed phrase frequency histograms and the generated self-organizing maps. Desired information is extracted by mapping the generated dynamic information three-dimensional structured map onto the template three-dimensional structured map. A fuzzy prediction algorithm is used in possible error correction in extracting the desired intelligent information. A negative learning error correcting algorithm is used to correct the three-dimensional template relation maps depending on the fuzzy feedback.

Supervised self organizing maps with fuzzy error correction

Growing community of inventors

Thanjavur, India

Sreedharan Venkataraman