B. Lalitha

B. Lalitha

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B. Lalitha

KPR Institute of Engineering and Technology

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 May 2024
Verified
Book Chapter
Closed access
BLB. Lalitha
B. Lalitha
RKRamalakshmi K
Ramalakshmi K
HGhemalatha Gunasekaran
hemalatha Gunasekaran
PMP. Murugesan
P. Murugesan
PSP. Saminasri
P. Saminasri
NRN. Rajkumar
N. Rajkumar
Artificial intelligence (AI) is an emerging field in library science, involving the programming of computers to execute tasks that typically require human intelligence. The overarching goal is to create computer systems capable of thinking and acting like humans, which holds profound implications for the field of librarianship. AI has found widespread application within libraries, with examples including expert systems for reference assistance, robots designed to assist with tasks like book sorting, and the integration of virtual reality for immersive learning experiences. While some may fear that AI implementation could distance librarians from their users, the prevailing view suggests that it will instead complement human expertise rather than replace it. By leveraging AI, libraries can enhance their service delivery, streamline operations, and adapt to the evolving demands of a digital society.

27 February 2025
Verified
Preprint
Open access
LBLalitha B
Lalitha B
SPSudharshan P
Sudharshan P
SDSalem Noel D
Salem Noel D
SSSaran S
Saran S
As the world transitions to sustainable energy, integrating solar power into electrical grids is critical. This article explores grid-connected solar projects, highlighting the vital role of PVsyst software in their design and analysis. PVsyst enables engineers to model complex solar systems, simulating effects like shading and fine-tuning parameters for optimal efficiency. By evaluating energy yield, losses, and performance ratio, PVsyst provides essential insights. Real-world case studies demonstrate solutions to common issues. Economic analysis tools assess return on investment. As grid-connected solar advances, PVsyst will likely evolve to enable more complex and sustainable applications. This software is pivotal in making solar a seamless part of our energy future