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N. Ayyanar

Researcher at National Institute of Technology, Tiruchirappalli

Publications -  32
Citations -  559

N. Ayyanar is an academic researcher from National Institute of Technology, Tiruchirappalli. The author has contributed to research in topics: Photonic-crystal fiber & Cladding (fiber optics). The author has an hindex of 7, co-authored 26 publications receiving 308 citations. Previous affiliations of N. Ayyanar include Ton Duc Thang University.

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Photonic Crystal Fiber-Based Refractive Index Sensor for Early Detection of Cancer

TL;DR: In this paper, a dual core photonic crystal fiber was proposed for the detection of cancer cells in cervical, breast, and basal parts, where the spectral shift is obtained by inducing the coupling mechanism between silica core and cancer cell core for its launching input optical field which is investigated by finite element method.
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Salinity sensor using photonic crystal fiber

TL;DR: In this article, a photonic crystal fiber (PCF) was used for measuring salinity in sea water, where the sea water sample is infiltrated into one of the air holes in cladding, which offers high confinement loss and act as an analyte core mode and background acts as silica mode.
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Highly efficient compact temperature sensor using liquid infiltrated asymmetric dual elliptical core photonic crystal fiber

TL;DR: In this paper, the authors proposed a novel temperature sensor based on asymmetry in dual elliptical core photonic crystal fiber (DECPCF) structure featuring an enhanced sensitivity with wide detecting range over small distances.
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Hydrostatic Pressure Sensor Using High Birefringence Photonic Crystal Fibers

TL;DR: In this article, a novel hydrostatic pressure sensor using high birefringence photonic crystal fibers (PCFs), featuring an enhanced sensitivity with wide range of detection along the length of fiber.
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D-glucose sensor using photonic crystal fiber

TL;DR: In this paper, a triangular lattice structured photonic crystal fiber (PCF) sensor was proposed for sensing applications with attractive features for the detection of glucose concentration, which can provide an effective platform for glucose sensing and potentially leading to a further development of optical sensing applications.