Deere + Company

Tata Consultancy Services Limited

Shrikant Joshi

Sheik Syed

Sachin Premsukh Lodha

Rahul Kumar

Thorsten Hagner

Shirish Subhash Karande

Sebastian Himpel

Jesse R Neely

Thiemo Flebbe

Gangadhara Reddy Sirigireddy

Kanika Kalra

Anand Sriraman

Purushotam Gopaldas Radadia

Nicolas Staack

Ganesh Mali

Pandharinath N More

Jayath Menon

Onkar Upadhye

Swen Weber

A roof of a vehicle, such as an agricultural vehicle, may include a first roof panel and a second roof panel. The first roof panel and the second roof panel may be connected along an interface the defines a passageway. The first roof panel and the second roof panel may define a path extending generally longitudinally along the roof with the first roof panel and the second roof panel sloping away from the path toward a first lateral side of the roof and a second lateral side of the roof. The passageway may extend laterally from the first lateral side to the second lateral side.

Roof of an operator compartment for a vehicle

Operator cabin mirror assembly for work vehicle

A track deviation sensing mechanism for a steering column includes a sleeve having an inner wall and an outer wall defining an annular opening. The inner wall defines a plurality of internal splines and the sleeve receives the steering column. A sensor has a first axial opening, and a ring is disposed within the first axial opening. The ring defines a second axial opening for accommodating the sleeve. A first part is functionally disposed between the sleeve and the ring such that the first part is lockingly connected to the sleeve and the ring. The first part has a third axial opening. A second part has a fourth axial opening and locks the sensor and the first part at a prerequisite configuration. The first axial opening, the second axial opening, the third axial opening, the fourth axial opening and the annular opening are coaxial.

Track deviation sensing mechanism

The disclosure generally relates to transcription of spoken words, and more particularly to a system and method for transcription of spoken words using multilingual mismatched words. The process comprises collection of multi-scripted noisy transcriptions of the spoken word obtained from workers of the multilingual mismatched crowd unfamiliar with the spoken language. The collected words are mapped to a phoneme sequence in the source language using script specific graphemes to phoneme model. Further, it builds a multi-scripted transcription script specific, worker specific and a global insertion-deletion-substitution (IDS) channel. Furthermore, the disclosure also determines reputation of workers to allocate the transcription task. Determination of reputation is based on word belief. The word belief is determined by taking ratio of likelihood probability of mapped phoneme sequence of transcriptions given the current estimate of word to the sum of likelihood probabilities of mapped phoneme sequences of the transcriptions given the phoneme sequence of each dictionary word.

System and method for transcription of spoken words using multilingual mismatched crowd unfamiliar with a spoken language

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Pune, India

Shrikant Joshi