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Showing papers by "Sayed Asaduzzaman published in 2019"


Book ChapterDOI
TL;DR: In this article, the authors describe the principle operation of photonic crystal fiber (PCF) based gas/chemical sensors, discuss the important PCF properties for optical sensors, extensively discuss the different types of microstructured optical fiber-based sensors, and study the effects of different core-cladding shapes, and fiber background materials on sensing performance.
Abstract: The development of highly sensitive and miniaturized sensors that capable of real-time analytes detection is highly desirable. Nowadays, toxic or colorless gas detection, air pollution monitoring, harmful chemical, pressure, strain, humidity, and temperature sensors based on photonic crystal fiber (PCF) are increasing rapidly due to its compact structure, fast response, and efficient light-controlling capabilities. The propagating light through the PCF can be controlled by varying the structural parameters and core–cladding materials; as a result, evanescent field can be enhanced significantly which is the main component of the PCF-based gas/chemical sensors. The aim of this chapter is to (1) describe the principle operation of PCF-based gas/chemical sensors, (2) discuss the important PCF properties for optical sensors, (3) extensively discuss the different types of microstructured optical fiber-based gas/chemical sensors, (4) study the effects of different core–cladding shapes, and fiber background materials on sensing performance, and (5) highlight the main challenges of PCF-based gas/chemical sensors and possible solutions.

40 citations


Journal ArticleDOI
TL;DR: In this paper, a low loss circular photonic crystal fiber (C-PCF) has been suggested as a Terahertz (THz) waveguide for long distance communication.
Abstract: Abstract In this article, a low loss circular photonic crystal fiber (C-PCF) has been suggested as Terahertz (THz) waveguide. Both the core and cladding vicinity of the suggested PCF are constituted by circular-shaped air holes. The optical properties such as effective material loss, effective area, core power fraction and V-parameter have numerically been probed by utilizing full vectorial finite element method (FEM) with perfectly matched layers (FMLs) boundary condition. The reported PCF reveals low absorption loss and large effective area of 0.04 cm−1 and 2.80×10−07 m2 respectively at 1 THz operating frequency. In addition, the core power fraction of the fiber is about 50.83 % at the same activation frequency. The V-parameter shows that the proposed PCF acts as a single mode over 0.70 to 1.15 THz frequency. So, the reported PCF offers the best performance in long distance communication applications.

27 citations


Journal ArticleDOI
TL;DR: In this paper, a photonic crystal fiber in square lattice architecture is numerically investigated and proposed for broadband dispersion compensation in optical transmission system, which achieves an ultra-high negative dispersion of about −571.7 to −1889.7 (ps/nm) in the wavelength range of 1340 nm to 1640 nm.
Abstract: Abstract A photonic crystal fiber in square lattice architecture is numerically investigated and proposed for broadband dispersion compensation in optical transmission system. Simulation results reveal that it is possible to obtain an ultra-high negative dispersion of about −571.7 to −1889.7 (ps/nm.km) in the wavelength range of 1340 nm to 1640 nm. Experimentally it is demonstrated that the design fiber covers a high birefringence of order 4.74×10‒3 at the wavelength of 1550 nm. Here, numerical investigation of guiding properties and geometrical properties of the proposed PCF are conducted using the finite element method (FEM) with perfectly match layers. Moreover, it is established more firmly that the proposed fiber successfully compensates the chromatic dispersion of standard single mode in entire band of interest. Our result is attractive due to successfully achieve ultra-high negative dispersion that is more promisor than the prior best results.

25 citations


Journal ArticleDOI
TL;DR: In this article, the authors proposed a large negative dispersion coefficient and highly nonlinear polarization maintaining single mode square photonic crystal fiber, which is extremely attractive for compensation of chromatic dispersion.
Abstract: In this article, we have proposed a large negative dispersion coefficient and highly nonlinear polarization maintaining single mode square photonic crystal fiber. The proposed design is extremely attractive for compensation of chromatic dispersion of − 1052.60 ps/(nm km) to − 2421.90 ps/(nm km) around 1340–1640 nm wavelength band. Guiding characteristics are investigated applying finite element method containing perfectly matched layer boundary condition. Simulation outcomes ensure the possibility of large negative dispersion coefficient and low confinement loss of − 2015.30 ps/(nm km) and 3.41 × 101 dB/m respectively, at 1550 nm wavelength. The proposed fiber also exhibits highly nonlinear coefficient of 99.73 W−1 km−1 at the same wavelength. Moreover, V parameter assures the single mode operation of the structured fiber over the whole band of interest. The structural diameter variation of ± 2% over the optimum value is simulated and reported to explore the practical feasibility. Besides, effective area is also presented and explained. From overall investigations, it can be reported that the proposed fiber will be an attractive candidate in high-speed transmission system for broadband dispersion compensation, nonlinear optics and sensing applications as well.

22 citations


Book ChapterDOI
08 May 2019
TL;DR: From this investigation a novel pathway has been found for the detection and analyzes gene regulatory network and PPI network for anxiety disorders and will be opened a new horizon in the area of several aspects of life science as well as Bioinformatics.
Abstract: Data mining, computational biology and statistics are unified to a vast research area Bioinformatics. In this arena of diverse research, protein - protein interaction (PPI) is most crucial for functional biological progress. In this research work an investigation has been done by considering the several modules of data mining process. This investigation helps for the detection and analyzes gene regulatory network and PPI network for anxiety disorders. From this investigation a novel pathway has been found. Numerous studies have been done which exhibits that a strong association among diabetes, kidney disease and stroke for causing most libelous anxiety disorders. So it can be said that this research will be opened a new horizon in the area of several aspects of life science as well as Bioinformatics.

4 citations