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Articles by Somnath
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Uber, Ola and a long road ahead…
Uber, Ola and a long road ahead…
I am a fan of public transport. It is partly due to my driving phobia on crowded roads and partly due to the fact it…
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Activity
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Voice bots are hard to test. One ASR slip, one LLM misfire, or a TTS glitch, and the whole interaction can encounter issues. To help teams manage…
Voice bots are hard to test. One ASR slip, one LLM misfire, or a TTS glitch, and the whole interaction can encounter issues. To help teams manage…
Liked by Somnath Sinha Maha Patra
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Today, along with our group CEO Kalyan Krishnamurthy, had the great opportunity to meet Hon’ble Union Minister of Finance & Corporate Affairs Smt…
Today, along with our group CEO Kalyan Krishnamurthy, had the great opportunity to meet Hon’ble Union Minister of Finance & Corporate Affairs Smt…
Liked by Somnath Sinha Maha Patra
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I still remember the day I left Agra. I was young, ambitious and determined to build something bigger for myself. Like so many of us from smaller…
I still remember the day I left Agra. I was young, ambitious and determined to build something bigger for myself. Like so many of us from smaller…
Liked by Somnath Sinha Maha Patra
Experience & Education
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Publications
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Improved Genetic Algorithm for Channel Allocation with Channel Borrowing in Mobile Computing
IEEE
This paper exploits the potential of the Genetic Algorithm to solve the cellular resource allocation problem. When a blocked host is to be allocated to a borrowable channel, a crucial decision is which neighboring cell to choose to borrow a channel. It is an optimization problem and the genetic algorithm is efficiently applied to handle this. The Genetic Algorithm, for this particular problem, is improved by introducing a new genetic operator, named pluck, that incorporates a problem-specific…
This paper exploits the potential of the Genetic Algorithm to solve the cellular resource allocation problem. When a blocked host is to be allocated to a borrowable channel, a crucial decision is which neighboring cell to choose to borrow a channel. It is an optimization problem and the genetic algorithm is efficiently applied to handle this. The Genetic Algorithm, for this particular problem, is improved by introducing a new genetic operator, named pluck, that incorporates a problem-specific knowledge in population generation and leads to a better channel utilization by reducing the average blocked hosts. The pluck operator makes the crucial decision of when and which cell to borrow with the future consideration that the borrowing should not lead the network to chaos. It makes a channel borrowing decision that minimizes the number of blocked hosts and improves the long-term performance of the network. Efficacy of the proposed method has been evaluated by experimentation
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Happy to share that I’ll be serving as a FY26 SWE Global Ambassador! Having been deeply engaged with the SWE Global Affinity Group, this opportunity…
Happy to share that I’ll be serving as a FY26 SWE Global Ambassador! Having been deeply engaged with the SWE Global Affinity Group, this opportunity…
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Hi Everyone, I am very excited to announce that we have closed our ?100 cr Series B at SuperK. Binny Bansal and Mithun Sacheti have led the round…
Hi Everyone, I am very excited to announce that we have closed our ?100 cr Series B at SuperK. Binny Bansal and Mithun Sacheti have led the round…
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