Browsing by Author "Haque, Md Ashraful"

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A Plowing T-shaped Patch Antenna for WiFi and C Band Applications
(2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), IEEE, 2021-09-08) Haque, Md Ashraful; Paul, Liton Chandra; Kumar, Subroto; Azim, Rezaul; Hosain, Md. Sarwar; Zakariya, M Azman
In this paper, a plowing T-shaped microstrip patch antenna (MPA) is proposed which can be used for 5 GHz WiFi (5.180 GHz – 5.925 GHz), 6 GHz WiFi (5.940 GHz – 7.075 GHz) and C band (4GHz – 8GHz) satellite applications. The dielectric substrate of Arlon Cu 217LX (lossy) material having a dielectric constant (εr) of 2.2 and loss tangent (δ) of 0.0009 has been used in the proposed design. The length (L) and width (W) of the substrate are 40 mm and 50 mm respectively. The proposed antenna covers a radiation frequency range of 4 GHz - 8 GHz and possesses gain of 3.55 dB to 6.4 dB over the entire bandwidth of the antenna. The antenna's resonance frequency is 5.78 GHz with a -31.08 dB return loss. The radiation efficiency of the antenna varies from 74% to 90% within the entire radiating frequency band. This antenna has been designed and optimized using CST MW studio. Finally, the results of CST MW studio have been buttressed by Zeland IE3D which reflects good matching between two simulators.
A smart medicine reminder kit with mobile phone calls and some health monitoring features for senior citizens
(Scopus, 2024) Paul, Liton Chandra; Ahmed, Sayed Shifat; Rani, Tithi; Haque, Md Ashraful; Roy, Tushar Kanti; Hossain, Md Najmul; Hossain, Md Azad
The demand for an effective system that combines cutting-edge technologies with medical research to improve healthcare systems has increased with the development of medical technology. The most fundamental form of disease prevention is taking the right medication when needed. With the right care, many fatal diseases can be cured or prevented. Therefore, it is crucial to follow the doctor's recommended drug plan. Healthcare experts now have serious concerns about patients not being able to take their prescribed medications on time, particularly elderly patients. Due to age-related memory loss, people who have been given multiple prescriptions at once over an extended period of time are more likely to forget to take their medication on time or to take the wrong medication. Sometimes, a patient's inability to take the right medication at the right time might have a major impact on their health. Aside from being forgetful, patients, especially the elderly and illiterate, may not be able to read the name stated on medical containers, leading to the consumption of the wrong medication. These errors contribute to non-adherence to pharmaceuticals, which is detrimental to the patient's health. As a result, there is a significant problem that hinders the success of the treatment. The medication reminder system is intended for people who frequently take medications or vitamin supplements in order to handle this. In order to help an elderly person properly take their medication and help the patient have a healthy life, we have created a ground-breaking portable multifunctional medicine reminder kit with phone calls. Other intelligent characteristics of the smart medicine reminder include the capacity to show the time, date, and day in real time, the detection of smoke, the measurement of air humidity and temperature in the room, the measurement of heartbeats per second, the patient's body temperature, and the oxygen saturation level.
Performance Analysis of Linearly Arranged Concentric Circular Antenna Array with Low Sidelobe Level and Beamwidth Using Robust Tapering Technique
(Daffodil International University, 2022-11-11) Rahaman, Imteaz; Haque, Md Ashraful; Singh, Narinderjit Singh Sawaran; Jafor, Md. Shakiul; Sarkar, Pallab Kumar; Rahman, Md Afzalur; Zakariya, Mohd Azman; Abro, Ghulam E. Mustafa; Sarker, Nayan
In this research, a novel antenna array named Linearly arranged Concentric Circular Antenna Array (LCCAA) is proposed, concerning lower beamwidth, lower sidelobe level, sharp ability to detect false signals, and impressive SINR performance. The performance of the proposed LCCAA beamformer is compared with geometrically identical existing beamformers using the conventional technique where the LCCAA beamformer shows the lowest beamwidth and sidelobe level (SLL) of 12.50° and 􀀀15.17 dB with equal elements accordingly. However, the performance is degraded due to look direction error, for which robust techniques, fixed diagonal loading (FDL), optimal diagonal loading (ODL), and variable diagonal loading (VDL), are applied to all the potential arrays to minimize this problem. Furthermore, the LCCAA beamformer is further simulated to reduce the sidelobe applying tapering techniques where the Hamming window shows the best performance having 17.097 dB less sidelobe level compared to the uniform window. The proposed structure is also analyzed under a robust tapered (VDL-Hamming) method which reduces around 69.92 dB and 48.39 dB more sidelobe level compared to conventional and robust techniques. Analyzing all the performances, it is clear that the proposed LCCAA beamformer is superior and provides the best performance with the proposed robust tapered (VDL-Hamming) technique.
Performance improvement of THz MIMO antenna with graphene and prediction bandwidth through machine learning analysis for 6G application
(2024-12-15) Haque, Md Ashraful; Ananta, Redwan A.; Nirob, Jamal Hossain; Ahammed, Md. Sharif; Sawaran Singh, Narinderjit Singh; Paul, Liton Chandra; Algarni, Abeer D.; ElAffendi, Mohammed; A Ateya, Abdelhamied
This article provides the findings of a study that integrated simulation, an RLC equivalent circuit, and machine learning (ML) techniques to improve wireless indoor communications clusters with future 6 G applications. The antenna being presented is constructed on a polyimide substrate. It exhibits an isolation of 27 dB and has a bandwidth of 4.331 THz, ranging from 0.631 THz to 4.962 THz. Along with its small size (95.52 × 227.24) µm2, it boasts an impressive maximum gain of 13.3 dB and an efficiency rating of 95 %. The ECC value drops below 0.0002 when the DG goes over 9.99. An advanced design system (ADS) creates a model like the proposed MIMO antenna to compare the return loss caused by CST (Computer Simulation Technology). Subsequently, following extensive data sampling with CST MWS (Microwave Studio) simulation, we employed supervised regression ML techniques. Gaussian process regression demonstrates exceptional accuracy, reaching almost 99 %, as evidenced by the high R-square and var scores. Additionally, it achieves the lowest error, less than one, while predicting bandwidth. The proposed antenna demonstrates strong potential as a formidable contender for 6 G THz band applications, as evidenced by the outcomes of the CST simulations and the prognostications derived from the machine learning techniques.
Performance Improvement of THZ Mimo Antenna with Graphene and Prediction Bandwidth Through Machine Learning Analysis for 6g Application
(Elsevier, 2024-10-23) Haque, Md Ashraful; Ananta, Redwan A.; Nirob, Jamal Hossain; Ahammed, Md. Sharif; Singh, Narinderjit Singh Sawaran; Paul, Liton Chandra; Algarni, Abeer D.; El Affendi, Mohammed; Ateya, Abdelhamied A.
This article provides the findings of a study that integrated simulation, an RLC equivalent circuit, and machine learning (ML) techniques to improve wireless indoor communications clusters with future 6 G applications. The antenna being presented is constructed on a polyimide substrate. It exhibits an isolation of 27 dB and has a bandwidth of 4.331 THz, ranging from 0.631 THz to 4.962 THz. Along with its small size (95.52 × 227.24) µm2, it boasts an impressive maximum gain of 13.3 dB and an efficiency rating of 95 %. The ECC value drops below 0.0002 when the DG goes over 9.99. An advanced design system (ADS) creates a model like the proposed MIMO antenna to compare the return loss caused by CST (Computer Simulation Technology). Subsequently, following extensive data sampling with CST MWS (Microwave Studio) simulation, we employed supervised regression ML techniques. Gaussian process regression demonstrates exceptional accuracy, reaching almost 99 %, as evidenced by the high R-square and var scores. Additionally, it achieves the lowest error, less than one, while predicting bandwidth. The proposed antenna demonstrates strong potential as a formidable contender for 6 G THz band applications, as evidenced by the outcomes of the CST simulations and the prognostications derived from the machine learning techniques.
Performance Investigation of Linearly Arranged Circular, Circular Planer, Rectangular, and Concentric Circular Antenna Arrays Using Robust NVL Techniques
(Scopus, 22-11-11) Rahaman, Imteaz; Jafor, Md. Shakiul; Singh, Narinderjit Singh Sawaran; Haque, Md Ashraful; Biswas, Antar Kumar; Rahman, Md Afzalur; Zakariya, M Azman B; Abro, Ghulam E Mustafa; Sarker, Nayan
In this research, linearly arranged circular antenna array (LCAA), linearly arranged circular planer antenna array (LCPAA), linearly arranged rectangular antenna array (LRAA), and linearly arranged concentric circular antenna array (LCCAA) are analyzed using robust techniques. These four antenna arrays are briefly investigated to evaluate their beam width performance, ability to detect a false signal, and SINR power pattern performances. Robust techniques—fixed diagonal loading (FDL), optimal diagonal loading (ODL), variable diagonal loading (VDL), and new variable loading (NVL) techniques—are applied, and the NVL technique is found to be superior and provides the best performance with the proposed LCCAA beamformer. With an SINR of 40.45 dB, 40.29 dB, 40.18 dB, and 39.99 dB for 0°, 1°, 2°, and 3° disparity angles, respectively, and output powers of −0.019 dB, −0.076 dB, and −0.171 dB for 1°, 2°, and 3° disparity angles, respectively, LCCAA beamformers using the NVL technique outperform other beamformers with different robust approaches.