ORCID Profile
0000-0002-5652-2065
Current Organisations
University of Queensland
,
Khulna University
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Publisher: Springer Science and Business Media LLC
Date: 20-11-2020
Publisher: IEEE
Date: 14-09-2021
Publisher: Scientific Research Publishing, Inc.
Date: 2017
Publisher: Khulna University
Date: 18-10-2022
DOI: 10.53808/KUS.2022.ICSTEM4IR.0012-SE
Abstract: Amino acids not only play a vital role as protein-building constituents in living beings but also have a wide range of applications that include commercial industries such as food additives and flavor enhancers as well as medical sectors to resist numerous disease levels and to treat digestive abscesses, liver ailments, etc. Hence a precise and feasible detection of amino acids is a fervent desire for their appropriate applications. This paper presents an amino acid sensor employing a mono-circular hollow-core PCF. This PCF-based sensor has been designed maintaining high fabrication feasibility. Then the performance of this sensor has been numerically studied engaging finite element method while sensing five types of amino acids. Performance metric exhibits that this sensor has a very low effective material and confinement loss of about 0.003795 cm-1 and 3.065×10-15 cm-1 correspondingly at 2.7 THz for Tryptophan. Besides this sensor has offered approximately 97.12% relative sensitivity maintaining a higher numerical aperture for the same type of amino acid. This sensor has maintained admirable values for all the performance indices for all the five types of amino acids analyzed in this paper. Furthermore, the elementary design of this sensor has opened the door of viable fabrication with the aid of existing sol-gel technique or extrusion with 3D printing method.
Publisher: IEEE
Date: 07-2019
Publisher: Walter de Gruyter GmbH
Date: 12-01-2021
Abstract: We propose a perfectly square lattice photonic crystal fiber (PCF) which shows high birefringence and negative dispersion. To set up high asymmetry in the core, dual line imperfection is considered where the fill fraction ratio and defect air hole diameter exhibit significant impact on dispersion and birefringence. Numerical analyses of guiding properties of the proposed PCF are done using finite element method with perfectly matched layer boundary condition from 1.2 to 1.8 μm wavelength. The optimized square lattice PCF presents high birefringence of 2.48 × 10 −2 and dispersion of −777.66 (ps/nm.km) at 1.55 μm wavelength. In addition, the proposed PCF offers ultra-low confinement and insertion loss at 1.55 μm wavelength. Moreover, −0.45 (ps/nm 2 .km) dispersion slope and 0.0045 nm −1 relative dispersion slope are observed at 1.55 μm wavelength. Additionally, the proposed PCF maintains dispersion and birefringence variation of ±30 (ps/nm.km) and ±0.00001 between 1.5 and 1.6 μm wavelength ranges, respectively. Furthermore, the proposed PCF shows high quality factor and low bit error rate at 10 dBm input power. We believe the proposed square lattice PCF can be deployed in wavelength ision multiplexing based optical fiber transmission system for wide-band dispersion compensation.
Publisher: IEEE
Date: 07-2020
Publisher: IEEE
Date: 07-2020
Publisher: IEEE
Date: 14-09-2021
Publisher: Hindawi Limited
Date: 19-02-2021
DOI: 10.1155/2021/5527724
Abstract: A novel PCF-based sensor has been presented in this paper to sense different chemicals and biocomponents. The proposed biochemical sensor (BCS) comprises a simple arrangement of rectangular holes. The competence of this BCS in detecting analytes is evaluated employing the full-vector finite element method (FEM). Performance metrics prove the competence of this BCS in sensing various analytes that have a refractive index in the range of 1.33–1.48. The proposed BCS shows ultralower values for both the bulk absorption and confinement loss. This BCS attains a maximum of about 95.82% relative sensitivity at 2.5 THz. Also, the dispersion for this sensor is only 0.12 ± 0.011 ps/THz/cm at the same point of interest. These results prove that the proposed BCS will play a key role in sensing toxic chemicals, illegal drugs, biocomponents, etc. Besides, the simple rectangle-based PCF structure ensures the feasibility of fabrication by practicing the existing fabrication strategies.
Publisher: Springer Singapore
Date: 04-07-2020
Publisher: Springer Science and Business Media LLC
Date: 12-05-2019
Publisher: Springer Science and Business Media LLC
Date: 25-08-2021
Publisher: Elsevier BV
Date: 06-2021
Publisher: Bentham Science Publishers Ltd.
Date: 21-05-2021
DOI: 10.2174/2210327910666200213122431
Abstract: Cognitive radio can be described as a radio system where it familiarizes to the situations of the environs by some procedure like analyzing, observing and learning. Cognitive radio can basically recycle the unused white space in the license spectrum through sensing the network thus the method can achieve the maximum implementation of the radio bandwidth. The motivation of this research is to improve the performance of spectrum sensing of a group of users in every cluster where various channel environment will be presented in comparison with the conventional weighted sensing. With the intention of lessening the fading and shadowing, co-operative detection is favored over independent detection. Clustered based cooperation has been employed to expand the sensing enactment moderately. Sensing of co-operative spectrum which is weighted has been used to boost the cluster cooperation scheme. To crack the critical problem this research proposed a weighted cluster based co-operative sensing in which the weight calculation is performed at FC reducing all available redundancies. From the simulation it is found that our proposed algorithm has better probability of detection (i.e, at -6 dB of SNR, clustered, Weighted Clustered and Novel Weighted Clustered probability of detections are 67%,84% and 95% respectively). Even if Novel Weighted Clustered has the lower False Alarm probability. Proposed novel weighted co-operative spectrum sensing algorithm for cognitive radio network spectrum sensing scheme can attain better performance under different fading environments.
Publisher: Bentham Science Publishers Ltd.
Date: 18-06-2021
DOI: 10.2174/2210681210999200525171303
Abstract: Ongoing amelioration of semiconductor nano-crystal in chemical sensing applications has led the Photonic Crystal Fiber (PCF) as the most appropriate candidate for chemical sensing. A PCF based sensor model has been proposed in this paper. The aim of this model is to detect formalin at a high level of sensitivity. This sensor model has been designed and simulated in COMSOL MULTIPHYSICS to analyze the sensing performance based on the optical parameters such as relative sensitivity, confinement loss, and effective material loss. Formalin solution is placed into the core and then the simulation is performed in THz regime ranging from 1 to 2 THz to carry out the optical properties. Simulation data collected from COMSOL are used in Matlab to carry out the graphical representation of the optical parameters. Simulation results demonstrate that the sensor model inherits high relative sensitivity of approximately 77.71 % at 1.8 THz. In addition to that, the proposed sensor exhibits zero confinement loss above 1.3 THz and very low effective material loss in the THz regime for the optimum model. All the optical parameters maintain standard and desirable values in the THz regime. Besides, the flexible fabrication of the proposed model is feasible using existing fabrication methods. Simulation results validate the high performance of this proposed model in formalin detection.
Publisher: Elsevier BV
Date: 2020
Publisher: Elsevier BV
Date: 12-2020
Publisher: Springer International Publishing
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Elsevier BV
Date: 12-2020
Publisher: IEEE
Date: 07-2019
Publisher: MDPI AG
Date: 27-06-2022
DOI: 10.3390/BIOENGINEERING9070281
Abstract: COVID-19 has imposed many challenges and barriers on traditional healthcare systems due to the high risk of being infected by the coronavirus. Modern electronic devices like smartphones with information technology can play an essential role in handling the current pandemic by contributing to different telemedical services. This study has focused on determining the presence of this virus by employing smartphone technology, as it is available to a large number of people. A publicly available COVID-19 dataset consisting of 33 features has been utilized to develop the aimed model, which can be collected from an in-house facility. The chosen dataset has 2.82% positive and 97.18% negative s les, demonstrating a high imbalance of class populations. The Adaptive Synthetic (ADASYN) has been applied to overcome the class imbalance problem with imbalanced data. Ten optimal features are chosen from the given 33 features, employing two different feature selection algorithms, such as K Best and recursive feature elimination methods. Mainly, three classification schemes, Random Forest (RF), eXtreme Gradient Boosting (XGB), and Support Vector Machine (SVM), have been applied for the ablation studies, where the accuracy from the XGB, RF, and SVM classifiers achieved 97.91%, 97.81%, and 73.37%, respectively. As the XGB algorithm confers the best results, it has been implemented in designing the Android operating system base and web applications. By analyzing 10 users’ questionnaires, the developed expert system can predict the presence of COVID-19 in the human body of the primary suspect. The preprocessed data and codes are available on the GitHub repository.
Publisher: Sciencedomain International
Date: 20-12-2017
Publisher: Elsevier BV
Date: 12-2020
Publisher: Elsevier BV
Date: 06-2021
Publisher: IEEE
Date: 07-2020
Publisher: Bentham Science Publishers Ltd.
Date: 08-2021
DOI: 10.2174/2210681210999200728120727
Abstract: Cyanide is an immensely poisonous chemical that is exceedingly noxious to the human body. Considering this issue, we present a Rectangular core photonic crystal fiber (RPCF) to detect the cyanide. Zeonex is chosen as base material and the investigation is accomplished in the terahertz (THz) frequency region. The RPCF model proffers high sensitivity, enlarged effective area, and insignificant confinement loss. It is very worthy to note that the proposed model structure can be fabricated by applying the existing fabrication techniques.
Publisher: Springer Singapore
Date: 02-09-2018
Publisher: IEEE
Date: 07-2020
Publisher: MDPI AG
Date: 14-11-2020
DOI: 10.3390/S20226500
Abstract: A novel, rectangle-based, porous-core photonic crystal fiber (PCF) has been modeled for the efficient propagation of a THz wave. The performance of the anticipated model has been assessed using the finite element method (FEM) in the range of 0.5–1.5 THz. Both the fiber core and cladding are modeled with rectangular air holes. Numerical analysis for this model reveals that the model has a lower amount of dispersion of about 0.3251 ps/THz/cm at 1.3 THz. Compared to the other THz waveguides, the model offers an ultra-lower effective material loss of 0.0039 cm−1 at the same frequency. The confinement loss is also lower for this model. Moreover, this model has a high-power fraction of about 64.90% at the core in the x-polarization mode. However, the effective area, birefringence, and numerical aperture have also been evaluated for this model. Maintenance of standard values for all the optical parameters suggests that the proposed PCF can efficiently be applied in multichannel communication and several domains of the THz technology.
Publisher: Springer Singapore
Date: 2020
Publisher: Elsevier BV
Date: 12-2021
Publisher: Springer Science and Business Media LLC
Date: 20-01-2022
Publisher: Bentham Science Publishers Ltd.
Date: 08-2021
DOI: 10.2174/2210681210999200708141725
Abstract: This paper demonstrates the design of a sensor model for the detection of Sodium Chloride (NaCl) in an effective and efficient manner. Photonic Crystal Fiber (PCF) has been used to design this sensor model. Using Comsol Multiphysics software, the sensor model has been implemented and simulated to carry out an in-depth analysis of the sensing performance of the proposed model. The confinement loss, effective material loss, effective area, birefringence, and relative sensitivity were analyzed to estimate the sensing efficiency of this model. The sensor performance has been analyzed for five different concentrations of NaCl. From the analysis, it is found that for all the analytes, confinement loss maintains a moderate value for the frequency band ranging from 0.9 to 1.2 THz. However, it approaches absolute zero immediately after 1.2 THz. The sensor model results in a high effective area, which is highly desirable for every PCF. It shows 3.78 × 105, 3.77 × 105, 3.76 × 105, 3.75 × 105, and 3.743 × 105 μm2 effective areas for 0%, 20%, 40%, 60% and 80% NaCl, respectively, at 1.4 THz. The effective material loss for this model is about 3.7×10-3, 3.63×10-3, 3.68×10-3, 3.672×10-3 and 3.652×10-3 cm-1 for 80%, 60%, 40%, 20% and 0% NaCl, respectively, at 1.4 THz. Birefringence is also high for the proposed model. The values of birefringence are approximately 0.002, 0.0018, 0.0017, 0.0016 and 0.0015 at 1.4 THz for 0%, 20%, 40%, 60% and 80% NaCl, respectively. In addition to the above positive outcomes, the sensor model exhibits high sensitivity for both x and y polarization. The peak sensitivity of this sensor is 91.5%, 91.42%, 91.34%, 91.25% and 91.10% in x polarization direction whereas the peak sensitivity is 91.70%, 91.60%, 91.49%, 91.40% and 91.25% in y polarization direction for 80%, 60%, 40%, 20% and 0% NaCl, respectively, at 1.8 THz. The value of sensitivity is above 90% at 1.4 THz for all the five concentrations of NaCl. The analyzed optical properties signify the higher efficiency and effectiveness of the sensor model in the detection of NaCl.
Publisher: IEEE
Date: 07-2020
Publisher: Scientific Research Publishing, Inc.
Date: 2018
Publisher: Bentham Science Publishers Ltd.
Date: 25-08-2021
DOI: 10.2174/2210327910999201124211428
Abstract: Modern life aims at making the world less vulnerable to risk, shortening our workload, saving time, assuring security, and overall making our life more comfortable. These goals may be achieved through the implementation of smart environments that are formed with different sensors employed in the collection of various environmental data. The collaboration of these type of sensors is known as Wireless Sensor Networks (WSN) that enhances the power generation system and serves smartly. A wide range of studies suggests that WSN is an auspicious nomenclature that possesses the capability of turning the traditional method of electric power generation, distribution, utilization monitoring and measurement, fault tolerance, etc. into a smart one. However, the application of WSN in the smart grid is not a feasible task. Several challenges have to be overcome to introduce WSN effectively in the smart grid. This review begins with an in-depth discussion on the migration from the conventional power grid to a Smart Grid (SG). Then, the introduction of WSN in SG benefits the conventional- SG is discussed followed by the comparative analysis of the security demands, MAC layer protocols, and routing protocols of WSN-based-SG. Finally, the communication technologies, future motives, and intact fields of WSN-based-SG have been discussed in this review.
Publisher: Elsevier BV
Date: 2021
Publisher: Springer Science and Business Media LLC
Date: 11-2022
Location: Bangladesh
No related grants have been discovered for Abdullah Al-Mamun Bulbul.