R
Raymond Scott Ling
Publications - 4
Citations - 747
Raymond Scott Ling is an academic researcher. The author has contributed to research in topics: Insurance policy & Wireless network. The author has an hindex of 4, co-authored 4 publications receiving 747 citations.
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Patent
Vehicle Monitoring System
Raymond Scott Ling,Richard Ashton Hutchinson,Wilbert John Steigerwald,William Andrew Say,Patrick Lawrence O'malley,Dane Allen Shrallow,William Curtis Everett,Robert John McMillan +7 more
TL;DR: In this article, the authors propose a data logging device that tracks the operation of a vehicle or driver actions, which includes a storage device, which may be removable or portable, having a first memory portion that may be read from and may be written to in a vehicle and a second memory portion, which is accessed through software that allows a user to access files.
Patent
Mobile insurance platform system
Matthew Daniel Lehman,Bradley Thomas Philips,Pawan Kumar Divakarla,Toby Kramer Alfred,William Curtis Everett,Brian Joseph Surtz,Raymond Scott Ling +6 more
TL;DR: In this article, a mobile insurance architecture includes a wireless communication interface that connects mobile client devices to wireless networks, and an adaptive transmission controller communicates with the insurance server cluster and processes content in multiple mobile formats that may be optimized to the screen sizes of the mobile clients.
Patent
Customizable insurance system
Dale A. Willis,David L. Rolnik,Glenn M. Renwick,Daniel Michael,Raymond Scott Ling,Daniel Gehrmann,Faith Chiang,Patrick K. Callahan,Toby Kramer Alfred +8 more
TL;DR: In this article, an automated insurance quote system allows users to apply for one or more insurance quotes through a self-service communication channel, which includes an interface that may receive applicant data from a remote location.
Patent
Multivariate predictive system
TL;DR: In this paper, a multivariate predictive system processes usage-based data that includes a database engine that provides access to a plurality of database management systems that mine diverse sources of usage based data.