Ravivarma Narasimha Domba Heggade

Ravivarma Narasimha Domba Heggade (died 1800) was the raja (sovereign) of Vitla principality who led a resistance against British colonisers in the erstwhile South Canara district of British India.[1]

Life and death

Ravivarma was born in a royal dynasty known as Domba Heggade[2] who ruled the Vitla principality which roughly comprised the southern talukas of the present Dakshina Kannada, Karnataka, India. He succeeded his maternal uncle Achyuta Domba Heggade to the throne according to the matrilineal inheritance laws of the to which the dynasty belonged. Ravivarma succeeded the throne in turbulent times as Achuyta Heggade was beheaded by Hyder Ali, the Muslim Ruler of Mysore after being captured in a conquest campaign. The royal family had fled to Tellicherry in present day Kerala during Hyder Ali's campaign and hence survived.

After few years in exile, Ravivarma led a military campaign to reclaim his kingdom and was successful. He was helped by the Raja of Nileshwaram and the British. But later on when the British tried to reduce the influence of the Domba heggade dynasty, Ravivarma openly revolted against their presence in south Canara district along with the neighbouring Raja of Kumbla and Raja Of Nileshwaram. The three principalities led a combined revolt against the British but were unsuccessful and defeated. Ravivarma was hanged along with 9 members of the domba heggade dynasty by the British after they gained complete control of south Canara region on 22 August 1800.[3]

gollark: As if that's possible.
gollark: Fearsome.
gollark: I might have to release apioforms from the beecloud.
gollark: It must comfort you to think so.
gollark: > There is burgeoning interest in designing AI-basedsystems to assist humans in designing computing systems,including tools that automatically generate computer code.The most notable of these comes in the form of the first self-described ‘AI pair programmer’, GitHub Copilot, a languagemodel trained over open-source GitHub code. However, codeoften contains bugs—and so, given the vast quantity of unvettedcode that Copilot has processed, it is certain that the languagemodel will have learned from exploitable, buggy code. Thisraises concerns on the security of Copilot’s code contributions.In this work, we systematically investigate the prevalence andconditions that can cause GitHub Copilot to recommend insecurecode. To perform this analysis we prompt Copilot to generatecode in scenarios relevant to high-risk CWEs (e.g. those fromMITRE’s “Top 25” list). We explore Copilot’s performance onthree distinct code generation axes—examining how it performsgiven diversity of weaknesses, diversity of prompts, and diversityof domains. In total, we produce 89 different scenarios forCopilot to complete, producing 1,692 programs. Of these, wefound approximately 40 % to be vulnerable.Index Terms—Cybersecurity, AI, code generation, CWE

References
  1. N. Shyam Bhat,"South Kanara, 1799–1860: a study in colonial administration and regional response",1998, ISBN 81-7099-586-8 (Paperback), ISBN 978-81-7099-586-9 (Hardbound),Mittal Publications
  2. P. Gururaja Bhat, Studies in Tuluva history and culture: From the pre-historic times upto [sic] the modern (1975)
  3. N. Shyam Bhat, "South Kanara, 1799–1860: a study in colonial administration and regional response", 1998, ISBN 81-7099-586-8 (Paperback), ISBN 978-81-7099-586-9 (Hardbound), Mittal Publications, Page:75


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.