articles by Anika Tun Naziba
Journal of Magnetism and Magnetic Materials, 2024
In the search for a diluted magnetic semiconductor (DMS) for spintronics devices, Zn1-xCoxO (x =0... more In the search for a diluted magnetic semiconductor (DMS) for spintronics devices, Zn1-xCoxO (x =0, 0.020, 0.035, 0.050, and 0.065) nanoparticles (NPs) were synthesized using a simple and cost-effective co-precipitation technique. To demonstrate the advantages of Co-doping, the morphological, microstructure, optical, and magnetic properties of the Co-doped ZnO NPs were extensively investigated using X-ray diffraction (XRD), transmission
electron microscopy (TEM), energy dispersive X-ray (EDX), selected area electron diffraction (SAED), Raman spectroscopy, ultraviolet–visible (UV–vis.) spectroscopy, and vibrating sample magnetometer (VSM) techniques. The synthesized NPs exhibited a hexagonal wurtzite structure. Their lattice parameters were found to decrease with increasing Co-doped wt.%, confirming the incorporation of Co2+in ZnO. The solid solution limit of Co-ZnO NPs was found to be Zn0.965Co0.035O. The crystallite sizes of the NPs were found to vary from 38.36 to 39.68 nm. Pure ZnO formed both the nanospheres (NSs) and nanorods (NRs), but Co-doped ZnO generated NRs only. The narrowest NR, with a diameter of 94 nm, was obtained for the Zn0.965Co0.035O. With a ‘Blue shift’
, the band gap energies were found to increase from 3.34 to 3.61 eV. The ZnO showed diamagnetic behavior whereas
all the Co-doped NRs showed room temperature ferromagnetic (RTFM) properties. The highest magnetization
values (Ms) 5.07 ×10-2 emu/g and (µB/Co2+) 14.93 ×10-3 were observed for Zn0.965Co0.035O NRs, and these
values are several times higher than many previously reported values. The origin of the ferromagnetism was
found to be an intrinsic property of the Co-doped ZnO NRs. The study successfully synthesized Co-doped ZnO
DMS, which could be used for spintronic-based photoelectronic and ferromagnetic devices.
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International Journal of Computing and Digital Systems (IJCDS), 2024
For global broadband networks, fiber optic systems are vital components of the telecommunications... more For global broadband networks, fiber optic systems are vital components of the telecommunications infrastructure. Signal transmission with a broad bandwidth and minimal delay is a fundamental need for modern applications. Owing to its low transmission losses, the adoption of optical fiber is growing exponentially. Researchers are exerting significant effort to improve the transmission efficiency of fibers with extremely low loss. A suspended porous core Cyclic Olefin Copolymer (COC) based fiber model is proposed in this work. It is exceptionally transparent and crystalline plastic. This model is challenging to build a waveguide with a low loss for THz wave propagation since most polymers are particularly absorbent. The proposed fiber model also has an optimized core diameter. In this analysis, a fiber with a low EML of 0.039456 cm-1, a marginal due to confinement loss is 2.264 × 10-5 dBcm-1, low dispersion of 0.8594 psTHcm-1 and V-parameter is 1.142 for 300 core diameter and at 1 THz working frequency. Additional important propagation properties, such as the power fraction of the proposed fiber have also been thoroughly investigated.
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AIUB Journal of Science and Engineering (AJSE), 2022
In the field of biomedical, HIFU is a non-invasive therapeutic method that employs non-ionizing a... more In the field of biomedical, HIFU is a non-invasive therapeutic method that employs non-ionizing acoustic waves to increase the temperature. According to its high efficiency and cheap cost, it has been the main focus of this research. The key stages of this tumor ablation include mechanical and thermal effects. Simulations on tissue ablation with HIFU were implemented in this research to investigate how multiple tissue ablation works and how to enhance tumor ablation while avoiding injury to surrounding healthy tissue by altering the optimal intensity, power, focal length and lens radius of curvature. In order to find the optimal features of the proposed model, this analysis employs clinical applications. Numerous soft and hard tissues from the human body were chosen for this analysis. At a specified acoustic power and exposure period, each tissues optimal frequency (1.6 MHz to 3.5 MHz) and power (120 W to 140 W) were obtained for effective tissue ablation. This research performed all computations by changing the focal length from 55 mm to 65 mm. The outcomes of this therapy might require several weeks to comfortably remove tumor. This optimum result indicates that HIFU tumor ablation procedure has a high probability of success.
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THE SEU JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING (SEUJEEE), 2021
The energy is obtained to the primary and
secondary substations during high demand, using dynami... more The energy is obtained to the primary and
secondary substations during high demand, using dynamic
weight-based load. The shifting algorithms minimize demand
by shifting the load, maximizing utilization and enhancing
load factor efficiency by distributing loads over various time
frames. Maintaining stable demand and increasing users'
consumption is a cost-effective way of increasing output while
maximizing the usage of electricity. The load factor would
improve in both cases and, thus, reduce the average unit cost
per kWh. The main factors in establishing the theory of
optimal energy usage are high energy use and the depletion of
established energy resources. The existing algebraic theory
model approach is incapable of properly optimizing the load
factor for a large distribution network, resulting in excessive
load energy consumption. To solve this issue, this article
proposes many load factor optimization methods. The trend of
the grid's load curve is studied in order to achieve the grid's
optimum load factor management under various situations.
The simulation findings indicate that the Genetic Algorithm
approach performs better in terms of control performance and
accuracy while optimizing load factors.
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NUCLEAR SCIENCE AND APPLICATIONS, 2018
Uranium concentrations in water, soil and stones collected from six different locations of Sherpu... more Uranium concentrations in water, soil and stones collected from six different locations of Sherpur District, Bangladesh, were determined by adsorptive cathodic stripping (ACS) voltammetric technique. The technique is based on the adsorptive accumulation of the uranium(VI)- chloranilic acid (CA) complex onto a hanging mercury drop electrode, followed by reduction of the complex by cathodic voltammetric scan using differential pulse modulation. The set optimum experimental conditions were of pH value 2.5, CA concentration ~ 1.95 x 10-4 M, deposition potential + 90 mV, deposition time 120 s, scanned potential ranges – 35 mV to – 150 mV, pulse amplitude 25 mV and scan rate 2 mV/s. Solution of 0.02M KNO3 was used as electrolyte and EDTA of concentration ~ 1.95 x 10-5 M was used to reduce the interferences of unwanted metal ions. 200 μl and 100 μl volumes of soil and stone digested samples in the investigation cell downed to 52-
and 103-fold dilutions facilitated to determine uranium concentrations in trace element levels. The concentrations were found in ppb level. For example, 3.8 and 5.3 ppb values were obtained for a soil and a stone sample, respectively. For a water sample, 10.3 ppb value was obtained. The range of the calculated values of uranium concentrations in water, soil and stones were found to be 8.9-16.4 ppb, 16.3-31.7 ppm and 19.2-161.6 ppm, respectively.
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inproceedings by Anika Tun Naziba
2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2024
Early detection of cancer cells, crucial for improving patient outcomes, is facilitated through i... more Early detection of cancer cells, crucial for improving patient outcomes, is facilitated through internal and external sensing techniques, leveraging photonics technology for precise and reliable detection. These methods offer remarkable sensitivity, selectivity and durability, enhancing the effectiveness of treatment approaches in healthcare. Utilizing a dual-core photonic crystal fiber (PCF) and exploiting the surface plasmon resonance (SPR) effect, the sensor boasts the potential to detect diverse cancer types, including Jurkat, Basal and Hela. Simulated using the Finite Element Method, the sensor leverages gold, coated with protective titanium dioxide, to detect variations in the surrounding medium's refractive index, operating effectively between 1.360 and 1.392. Remarkably, it exhibits the maximum reported sensitivity for wavelength of 10714.29 nm/RIU, showcases a linear sensing response, solidifying its real-world applicability across various cancers. This holistic approach represents a significant advancement in cancer detection technology, holding immense promise for enhanced diagnosis and treatment outcomes. This innovative study unveils a novel optical sensor designed to locate cancerous cells present in the human body.
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ICCA '22: Proceedings of the 2nd International Conference on Computing Advancements, 2022
Since the last decade, High Intensity Focused Ultrasound (HIFU) has been actively used in medical... more Since the last decade, High Intensity Focused Ultrasound (HIFU) has been actively used in medical care for the treatment of various cancers. HIFU is a technique that employs a fixed ultrasonic transducer with a focusing lens, allowing the transmitted signal to reach higher intensity levels within a specific focal zone of relevance. Mechanical and thermal impacts are the main steps of HIFU ablation. In this study, experiments and simulations on tissue ablation with HIFU were carried out to see how multiple tissue ablation worked and how to improve tumor ablation while avoiding damage to surrounding healthy tissue by adjusting the ideal intensity and lens radius of curvature of the transducer. The analysis employs clinical applications to evaluate the optimum properties of the proposed model. For this experiment, several soft and hard tissues were selected from the human body. Each tissue's temperature was determined to be 310.15-degree Kelvin. At a specified acoustic power and exposure time, the tissues' optimal frequency (1.6 MHz, 2.25 MHz, 3.4 MHz, and 3.5 MHz) and power (10 W, 17 W and 20 W) were identified. By using a focal length of 60 mm, we have completed all of the computations. Numerous cancers, including the brain, heart, skull, liver, kidney and bone, have all shown positive results. This finding looks promising for HIFU tumor ablation surgery.
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articles by Anika Tun Naziba
electron microscopy (TEM), energy dispersive X-ray (EDX), selected area electron diffraction (SAED), Raman spectroscopy, ultraviolet–visible (UV–vis.) spectroscopy, and vibrating sample magnetometer (VSM) techniques. The synthesized NPs exhibited a hexagonal wurtzite structure. Their lattice parameters were found to decrease with increasing Co-doped wt.%, confirming the incorporation of Co2+in ZnO. The solid solution limit of Co-ZnO NPs was found to be Zn0.965Co0.035O. The crystallite sizes of the NPs were found to vary from 38.36 to 39.68 nm. Pure ZnO formed both the nanospheres (NSs) and nanorods (NRs), but Co-doped ZnO generated NRs only. The narrowest NR, with a diameter of 94 nm, was obtained for the Zn0.965Co0.035O. With a ‘Blue shift’
, the band gap energies were found to increase from 3.34 to 3.61 eV. The ZnO showed diamagnetic behavior whereas
all the Co-doped NRs showed room temperature ferromagnetic (RTFM) properties. The highest magnetization
values (Ms) 5.07 ×10-2 emu/g and (µB/Co2+) 14.93 ×10-3 were observed for Zn0.965Co0.035O NRs, and these
values are several times higher than many previously reported values. The origin of the ferromagnetism was
found to be an intrinsic property of the Co-doped ZnO NRs. The study successfully synthesized Co-doped ZnO
DMS, which could be used for spintronic-based photoelectronic and ferromagnetic devices.
secondary substations during high demand, using dynamic
weight-based load. The shifting algorithms minimize demand
by shifting the load, maximizing utilization and enhancing
load factor efficiency by distributing loads over various time
frames. Maintaining stable demand and increasing users'
consumption is a cost-effective way of increasing output while
maximizing the usage of electricity. The load factor would
improve in both cases and, thus, reduce the average unit cost
per kWh. The main factors in establishing the theory of
optimal energy usage are high energy use and the depletion of
established energy resources. The existing algebraic theory
model approach is incapable of properly optimizing the load
factor for a large distribution network, resulting in excessive
load energy consumption. To solve this issue, this article
proposes many load factor optimization methods. The trend of
the grid's load curve is studied in order to achieve the grid's
optimum load factor management under various situations.
The simulation findings indicate that the Genetic Algorithm
approach performs better in terms of control performance and
accuracy while optimizing load factors.
and 103-fold dilutions facilitated to determine uranium concentrations in trace element levels. The concentrations were found in ppb level. For example, 3.8 and 5.3 ppb values were obtained for a soil and a stone sample, respectively. For a water sample, 10.3 ppb value was obtained. The range of the calculated values of uranium concentrations in water, soil and stones were found to be 8.9-16.4 ppb, 16.3-31.7 ppm and 19.2-161.6 ppm, respectively.
inproceedings by Anika Tun Naziba
electron microscopy (TEM), energy dispersive X-ray (EDX), selected area electron diffraction (SAED), Raman spectroscopy, ultraviolet–visible (UV–vis.) spectroscopy, and vibrating sample magnetometer (VSM) techniques. The synthesized NPs exhibited a hexagonal wurtzite structure. Their lattice parameters were found to decrease with increasing Co-doped wt.%, confirming the incorporation of Co2+in ZnO. The solid solution limit of Co-ZnO NPs was found to be Zn0.965Co0.035O. The crystallite sizes of the NPs were found to vary from 38.36 to 39.68 nm. Pure ZnO formed both the nanospheres (NSs) and nanorods (NRs), but Co-doped ZnO generated NRs only. The narrowest NR, with a diameter of 94 nm, was obtained for the Zn0.965Co0.035O. With a ‘Blue shift’
, the band gap energies were found to increase from 3.34 to 3.61 eV. The ZnO showed diamagnetic behavior whereas
all the Co-doped NRs showed room temperature ferromagnetic (RTFM) properties. The highest magnetization
values (Ms) 5.07 ×10-2 emu/g and (µB/Co2+) 14.93 ×10-3 were observed for Zn0.965Co0.035O NRs, and these
values are several times higher than many previously reported values. The origin of the ferromagnetism was
found to be an intrinsic property of the Co-doped ZnO NRs. The study successfully synthesized Co-doped ZnO
DMS, which could be used for spintronic-based photoelectronic and ferromagnetic devices.
secondary substations during high demand, using dynamic
weight-based load. The shifting algorithms minimize demand
by shifting the load, maximizing utilization and enhancing
load factor efficiency by distributing loads over various time
frames. Maintaining stable demand and increasing users'
consumption is a cost-effective way of increasing output while
maximizing the usage of electricity. The load factor would
improve in both cases and, thus, reduce the average unit cost
per kWh. The main factors in establishing the theory of
optimal energy usage are high energy use and the depletion of
established energy resources. The existing algebraic theory
model approach is incapable of properly optimizing the load
factor for a large distribution network, resulting in excessive
load energy consumption. To solve this issue, this article
proposes many load factor optimization methods. The trend of
the grid's load curve is studied in order to achieve the grid's
optimum load factor management under various situations.
The simulation findings indicate that the Genetic Algorithm
approach performs better in terms of control performance and
accuracy while optimizing load factors.
and 103-fold dilutions facilitated to determine uranium concentrations in trace element levels. The concentrations were found in ppb level. For example, 3.8 and 5.3 ppb values were obtained for a soil and a stone sample, respectively. For a water sample, 10.3 ppb value was obtained. The range of the calculated values of uranium concentrations in water, soil and stones were found to be 8.9-16.4 ppb, 16.3-31.7 ppm and 19.2-161.6 ppm, respectively.