Design and Analysis of Elliptical Core Spiral Silica Photonic Crystal Fiber with Improved Optical Characteristics

Sharma, Rachna; Sharma, Sunil; Gupta, Rajkumar; Dash, Priyajit

doi:10.1007/978-981-13-8715-9_9

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…The tumor cells can be sensed by using samples of infected cell into the air cavity [29], as the variation in the wavelength is sensed the energy coupling and energy transfer is observed (FIGURE 5). PML restricts the reflected stray energy [30].…”

Section: E Proposed Dual Core Pcf Based Refractive Index Sensormentioning

confidence: 99%

Use of AI Techniques on Photonic Crystal Sensing for the Detection of Tumor

Sharma

Tharani

2022

j.electron.electromedical.eng.med.inform

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Tumors can cause severe problem to human beings. Sometime it can be a cause of death. Earlier there were lack of treatment and technological deficiency, due to which it was unable to detect tumor cells and even unable to offer proper treatment for these diseases. This study aims to use Photonic crystal (PhC) due to their ample choice of structures and litheness to endure with every sphere of influence has been utilized them twenty decade back to now a day and have extremely huge prospects in imminent future also. They have revealed their incidence in the field of imaging, sensing, fabricating industries, automation, medical, mechatronics, computronics, mechanochromic, underwater acoustic detection, pharma industries and nanoimprinting etc. If we are discussing about current and impending applications of PhC then it comprises smart sensing and detection of disunite diseases, anonymous viruses and a range of tumors. Artificial intelligence (AI) is also playing incredibly essential role in analyzing and creating entities equivalent to the change in human behavior. AI tools and techniques are utilizing to create intelligent entities through which it is accomplishing countless feats. The PhC along with the artificial intelligence are utilizing as Optical Neural Network (ONN), Artificial Neural Network (ANN), Cellular Computing, Plasma Technology, Parallel Processing, Image Processing etc. Here in this study designated photonic crystal has been used for the detection of infected cell in human body. Sometimes these infected cells are unable to trace by normal pathological investigations and slowly they take a shape of Tumors. But thanks to Photonics crystal sensors that they have made it true not only for detection but we can say for early detection of such tumors in human body. These early detection and proper investigation is possible only because of AI impacts on photonics crystal. This study focuses on detection and observation of bio molecules for selectivity, sensitivity, reflectivity and concentration. By change in wavelength i.e. from 1.5 μm to 4 μm the refractive index (RI) of tumor cell can be measured which is observed by measuring sensitivity between 11258 nm/RIU to 32358 nm/RIU. Tumors have refractive indices varies between 1.3342 to 1.4251. It is observed that sarcoma level is directly proportional to the RI of tumor. Various AI algorithms like support vector machine (SVM) obtained accuracy as 96%, K- nearest neighbor (KNN) shows as 70%, logistic regression (LR) shows as 88%, random forest (RF) show it as 90%, fuzzy logic (FL) and artificial neural network (ANN) observed accuracy as 93% and 95% respectively.

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Section: E Proposed Dual Core Pcf Based Refractive Index Sensormentioning

confidence: 99%

Use of AI Techniques on Photonic Crystal Sensing for the Detection of Tumor

Sharma

Tharani

2022

j.electron.electromedical.eng.med.inform

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“…Materials that are used to senses, materials that are used to stores, materials that can be used as energy efficient, some translucent materials which can be folded easily and some materials that are manufacturable at low cost. New discovered materials such as doped silica materials [13], resistance changing materials and spontaneously magnetize and polarize materials have been discovered and using widely for AI integration and their applications.…”

Section: Photonics Materials and Their Characteristics For Aimentioning

confidence: 99%

“…The optical properties are typically calculated by using Maxwell's Equations [13]. The desired optical response can be obtained by adjusting the initial design and performing multiple simulations until the outcome is achieved.…”

Section: Ai For Photonicsmentioning

confidence: 99%

Photonics for AI and AI for Photonics: Material and Characteristics Integration

Sharma¹,

Tharani²

2021

Fiber Optics - Technology and Applications

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We are living in the technological era, where everything is integrated with each other. If we are discussing regarding communication, it is integrated with one or two technologies. If we are discussing regarding automation, discussing regarding Image processing, discussing regarding embedded system, they all are integrated with a combination of technologies. Correspondingly Artificial Intelligence (AI) and Photonics are also integrated with each other. Now a day as AI is utilizing with photonics in abundant fields as well photonics is also serving AI to facilitate ultrafast AI networks to offer a novel class of Information Processing Machines (IPM). This chapter is based on identification and implementation of photonics for AI utility and AI for photonics. In this category a Dual core Photonics crystal fiber (PCF) is proposed which serve to identify infected cells of human being along with the integration of AI. This proposed design of PCF is providing relative sensitivity and confinement loss in an optimized manner with the impact of AI. Here potency of AI as well as of Photonics is explained to serve their applications related to each other.

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“…A numerical way has to be used to achieve the time-domain [Ravindra, 2009] resolution of an inhomogeneous explanation. The finite-difference time domain (FDTD) method , a numerical way, is predominantly appropriate for model discovery problems.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Dual Core Photonics Crystal Fiber with Circular Sensing Ring for Biochemical Detection from Blood Samples

Sunil Sharma,

Ravindra Kumar Sharma,

Ajay Kumar Bairwa

2022

bjps

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This paper presents a proposed structure of Dual core photonic crystal fiber (DCPCF) along with a circular sensing ring for biochemical detection. Numerical analysis, Confinement loss and Relative sensitivity of PCF sensor have been observed for biochemical detection using Maxwell’s equations with perfectly matched boundaries. The core region is filled with the patient's blood samples, and the light is confined through the core region. The circular sensing ring is utilized for trouble-free penetration to cope with biosensing applications. Since the occurrence of the blood samples is very in-differentiable in the human body, these sensors play a valuable role due to their trimness, small size, litheness, and isolated competence to identify diagonisive elements in human blood.

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Design and Analysis of Elliptical Core Spiral Silica Photonic Crystal Fiber with Improved Optical Characteristics

Cited by 4 publications

References 11 publications

Use of AI Techniques on Photonic Crystal Sensing for the Detection of Tumor

Use of AI Techniques on Photonic Crystal Sensing for the Detection of Tumor

Photonics for AI and AI for Photonics: Material and Characteristics Integration

Analysis of Dual Core Photonics Crystal Fiber with Circular Sensing Ring for Biochemical Detection from Blood Samples

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