Browsing by Author "Hasan, Rakibul"

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A Low SAR In-Body Antenna for Wireless Monitoring Purpose of Pacemaker System
(Electrical Information and Communication Technology, 2019) Ahmad, Shamim; Hasan, Raja Rashidul; Hasan, Rakibul; Al Rakib, Md. Abdullah; Hasan, Md. Abid; Zubayar, Md
This research paper deals with a low SAR patch antenna that resonates at 2.415 GHz. This antenna can be employed to monitor the pacemaker system wirelessly, considering its performances. The main aim was to operate the antenna at ISM (Industrial, Scientific and Medical) band (2.4– 2.48 GHz) in the pacemaker system, where body granted materials were used to construct both the pacemaker and the antenna to ensure the biocompatibility. To investigate the antenna parameters’ changes between free space and in-side body condition, the designed antenna was examined and compared for both conditions. The key speciality of this design is that the SAR (Specific Absorption Rate), which is the most crucial parameter for any in-body antenna, was found in a considerable-safe region. Moreover, Computer Simulation Technology (CST)-based desired findings of this antenna for return loss, VSWR, and far-field radiation characteristics were found with compared to other recent body-implantable antenna related published works.
A secured way of keeping medical data efficiently using web farm In the perspective of Bangladesh
(BRAC University, 2022-01) Hasan, Rakibul; Biswas, Aditya; Touhid, Md. Touhiduzzaman; Jahan, Umme Nusrat; Hossain, Dr. Muhammad Iqbal; Noor, Jannatun
Bangladesh is a fast developing country and aims to enter the list of developed countries by 2030. With that aim, there are remarkable technological advancements taking place in all sectors, but information technology in the medical sector is really lagging behind. In this new era of technology, the healthcare system needs to keep up with the constantly changing world. Our existing medical sector is still keeping important and confidential medical records in hard copies, which sometimes is a big hassle for both doctors as well as patients. The people are still indifferent about the confidentiality of their personal data. So, we want to propose an efficient model of Electronic Health Records (EHR), especially for Bangladesh using the concept of a web farm consisting two separate private and public cloud servers, with secured authentication features like kerberos, OTP authorization system, AES encryption, user friendly UI, and cost effective measures. Already, a few models of EHR are implemented around the world, and some others are being proposed too. However, most of them are not applicable to the Bangladeshi scenario because of unfriendly environments such as lack of awareness, slow internet speed, lack of technical knowledge of the people, and the scope of corruption. The model proposed here is able to overcome those deficiencies to meet the requirements that accept the challenges and adapt to the environment of this country.
AI-generated academic assesment portal with performance tracking
(BRAC University, 2025-06) Dipu, MD. Saiful Islam; Islam, Aminul; Hasan, Rakibul; Shahriar, MD. Asif; Abedin, Jawaril Munshad
Artificial intelligence revolutionized numerous digital education operations yet the assessment of academic performance continues to prove especially difficult to overcome. Unfortunately, static question banks and rigid answer matching systems, currently used in making the assessment, can’t provide personalized learning experiences. These systems have difficulty acknowledging proper semantic responses and frequently misidentify them. This paper describes an academic assessment portal developed by AI technology which combines performance tracking features to solve existing evaluation problems. The system uses the multilingual mT5 model to automate the production of questions that match different domains and contextual requirements. The Bangla Transformer system dedicated to evaluation answers detects properly paraphrased responses that improve testing precision. Student performance directs the platform to automatically adjust questions until each student experiences a suitable learning challenge for their current level. The AI system evaluates student responses by analyzing context which enables it to improve both accuracy and fairness of the assessment process. Students obtain performance-related data about their areas of expertise through performance tracking while automated question generation frees educators to teach without additional paperwork. The platform delivers both robustness and user-friendly interface through the use of Flask, React.js. Initial test results indicate that self-assessment performance tracking platforms outperform other methods, showing an accuracy improvement of 40%-50% due to personalized tracking, adaptive learning, and data-driven feedback mechanisms.
Classify Tigers in Machine Learning Approach
(Daffodil International University, 23-01-29) Arafin, Masrur; Hasan, Rakibul
The classification of tiger images in this research uses the Tensor Flow framework and deep learning, which is also known as machine learning. Python is used as a programming language because of how successfully it functions. In this study, three (3) different kinds of tigers were used, and this is where the input data is mostly addressed. It has been decided that this method is the optimal one for the training process because of the high percentage of accuracy it attained. In the results, it is discussed how accurate the image classification was in percentage terms. Similar results apply to another type of tiger, where the average result is up to 90% and higher. The majority of the image receives 90%.Classifier is the method of determining what an image shows. An image classifier is trained to identify various image classes. For instance, you could instruct a model to identify pictures of multiple distinct animal species.Its procedure of graphically picking tests (response variable) in an image and attributing those to or before subgroups (for example, that can be used for the entire photo. Classification technique and path length are multiple common techniques for categorizing the entire image using classification model. ' categorization scientific research the data characteristics by first computing.
Club Fair at BRAC University : acquiring knowledge through passion
(The Daily Star , Star Campus, 2010-10-10) Hasan, Rakibul
Evaluation of drinking water quality in restaurants of Gazipur city using water quality indices and multivariate analysis
(Department of Civil and Environment Engineering, Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-03-30) Hasan, Rakibul; Hossain, Md. Shahriar; Rahadujjaman, Md.
Groundwater is a vital source for drinking purposes in Gazipur area. In this present study, 173 samples are collected from different restaurants divided into 18 zones across Gazipur city area. Thirteen physicochemical parameters like pH, Color, Turbidity, DO, TDS, Cl(residual), F, Hardness as CaCO3, Fe, Mn, NO3, SO42-, NH3 are used for analysis. From these parameters DO, TDS, Mn, Hardness, pH value exceed the standard limit. These eighteen zones of Gazipur city are divided into three clusters as cluster I (8 zones), cluster II (2 zones), and cluster III (8 zones) by the homogeneity of samples. The dominant water types in Cluster, I is (Color-Iron-Nitrate-Ammonia) type of water, cluster II (Chlorine-Fluoride-Sulfate) type of water, and cluster III (Hardness-pH-TDS-DO-Turbidity) type of water. Three water quality Index models like Integrated Water Quality Index, Assigned Weight Water Quality Index, and Weighted Arithmetic Water Quality Index are used to evaluate Water quality. The IWQI and Weighted Arithmetic Water Quality Index reveal that 31% and 49% of the total sample mostly fall into the unsuitable category. But Assigned Weight Water Quality Index model categorized 2% of total samples as unsuitable. Pearson correlation matrix shows strong positive correlation between TDS-EC (0.987) has strong positive correlation and Color-Manganese (0.292) has moderate positive correlation in cluster I. In cluster II TDS-EC (0.994), Color-Manganese (0.704) show a strong positive correlation, but PH-color (-0.769), Fluoride-Nitrate (-0.828) shows negative correlation & there is no strong correlation in cluster III. In Cluster, I, Cluster II, Cluster III total cumulative variance can be explained 73.095%, 91.335% & 68.013% respectively by the result of factor analysis. Three Clusters’ components eigenvalue is greater than 1 are respectively Cluster I (six factors), Cluster II (five factors) and Cluster III (six factors). The strong factor loadings in three Clusters are TDS, EC, Hardness, Color, Nitrate, Turbidity, Mn, Fluoride, Ammonia, Iron to contaminate the environment. Factor analysis predicts the source of groundwater pollution which consist of effluent from textile industries, combine mill, pharmaceutical industries, nitrogenous fertilizer in agricultural area, rock and water interaction in the study area. In future, Gazipur city will become more densely populated that will create more contamination in water. A high number of industries containing much population damaging surface water as well as ground water. It damages human health with the environment while drinking regularly. That’s why we have tried to analyze the present scenario of drinking water of Gazipur region. Management and investigation of groundwater quality in a proper way helps to supply good quality of drinking water in the restaurants of Gazipur City.
Insomnia Disease Detection Using Machine Learning
(Daffodil International University, 2025-01-12) Hasan, Rakibul
Insomnia happens to be one common sleep disorder that cuts across many people worldwide. It has left untold suffering in his domains that stretch from physical to mental to emotional health problems. Polysomnography and clinical assessment methods are the commonly known traditional ways of diagnosis, but they happen to be time consuming, resource intensive, and often difficult for many to access. This study introduces the application of machine learning (ML) for an automated, efficient, and scalable approach towards insomnia detection. The physiological and behavioral attributes from students of Daffodil International University, which are collected into a dataset through pre- processing and analysis, are used to train various ML models including Gradient Boosting, Random Forest, and Support Vector Machines. The models were tested against evaluation metrics like accuracy, precision, recall, and F1- score. The best model is Gradient Boosting, which achieved testing accuracy of 99.01%, precision of 99%, and F1-score of 99%. Some of the major challenges addressed in this study are imbalanced datasets, complex model interpretability, and ethical considerations such as data privacy. By these results, machine learning turned out to be a feasible option for early detection and accurate latticing of insomnia. Such a system has the potential to revolutionize healthcare by providing accessible, noninvasive, and cost-effective diagnostic tools, thereby improving patient outcomes and advancing the role of ML in sleep medicine.
INVOLVEMENTOF RURAL WOMEN IN BACKYARD DAIRY FARMING AT FARIDPUR SADAR UPAZILLA, FARIDPUR DISTRICT.
(Chattogram Veterinary and Animal Sciences University Chattogram-4225, Bangladesh, 2017-11) Hasan, Rakibul
Rural women play a significant role in livestock sector in Bangladesh.There are many studies conducted on women participation in dairyfarming in different areas of Bangladesh. But so far a veryfew studies have been conducted to know the percentage of rural women engaged in backyard dairying in this study area. Therefore, the present study was undertaken to know the extent of involvement of farm women and other family members in the decision making in relation to feeding, management and health care. It is a multistage sampling by which 20 farm women were taken keeping in mind some pre-requisite conditions and questionnaires were prepared for easy collection of necessary information in regard to the objective of the study. The information obtained from the field visit showed that mostly housewives (83.3%) contribute in dairying but most of them (80%) are belongs to 20-40age. Their predominant religion is Islam (80%),(40%)areprimarily educated,(60%)have1-2 acre land, (35%) lived in mixed type of houses with a family,(80%)havefamily member less than 5. From the collected data it was found that the overall contribution of women is somewhat equal to men in dairying on the study area. It was also observed that in decision making, regarding health care (35%) and feeding (25%) women had lower participation, while the participation of men were 45%&40% respectively. Besides, in case of hygiene maintaining, watering, milking, milk selling, manure disposal land vaccination women had their participation of about 45%, 30%, 45%, 30%, 15% and 30% respectively.
IOT based industrial load control and safety management
(Brac University, 2022-01) Hasan, Md. Mehedi; Islam, Shah Rukh; Mohammad, Yousuf; Shabnam, Farzana; Hasan, Rakibul
Online Class Observation and Conduction in English during the Outbreak of Covid-19
(©Daffodil International University, 2021-08-30) Hasan, Rakibul
The purpose of this project paper is to conduct an observational and intensive study to know the final result of online classes of English during this epidemic (Covid-19) situation. Since all the institutions are closed and no physical classes are possible, the only way to keep education on track is to move to online education system where this is completely new experience for both the students and teachers. So it is important to follow a different kind of policy and new strategy to deal with this online education system. Because previous practical classroom strategies would not be valid for online education system. The type and method of teaching also needs to be changed and improved as classes are taken through an online platform. There is a huge room for improvement in previous traditional thematic activities and strategies. This project paper shows An intensive report of two class observations and a conduction report of mine is being shown by this project paper of mine. In researching I found many positive and negative areas of learning and teaching in online classes. In Bangladeshi perspective I have solved some sorted some specific problems and possibilities of online education.
Predecting Bus Fitness Using CNN [PBFUC]
(Daffodil International University, 2021-06) Bose, Hirak; Hossen, Md. Mosharof; Hasan, Rakibul
PBFUC (Predicting Bus Fitness Using CNN) may play a great role to reduce traffic accidents, classification of bus condition. Giving safe roads to people and overcoming from the rate of accidents due to fitness of bus, for all the reasons Bus Fitness Prediction system is essential. We traced that issue of road accidents and settled us to work for reducing road accidents. The most eminent model like Convolutional Neural Network (CNN) is good for classification. In this paper, we proposed a model of Convolutional Neural Network (CNN) for classifying fitness of buses. To classify the condition or fitness of buses we followed two parts – one is feature extraction and another one is classification. These two parts performed good via CNN in our system. In this system, we worked on 2 classes to classify bus fitness- one class is fit buses and another one is unfit buses. So, CNN model played a great role to find a good accuracy and build our system perfectly. We split our total data as 80% for training dataset and 20% for testing dataset there after we achieved evaluate accuracy 80.93% for our CNN model and 84.56% for training accuracy.
PREVALENCE OF GASTROINTESTINAL PARASITISM OF CATTLE AT FARIDPUR SADAR, FARIDPUR
(Chattogram Veterinary and Animal Sciences University Chattogram-4225, Bangladesh, 2018-03) Hasan, Rakibul
A one monthprevalence study was conducted in cattle on gastrointestinal parasitism of Faridpur Sadar,Faridpur Bangladesh. A total of 30 fecal samples were collected randomly from different cattle breeds (Indigenous cattleand crossbred of HF). Samples were examined by routine coproscopical methods. The investigation revealed that, the overall prevalence of gastrointestinal parasitic infestation was 64% in the study population.Sex specific prevalence exposed that female cattle showed almost same susceptibility to different gastrointestinal parasites like male but it was not significant. It could be stated that the current investigation was a limited study as topographical variation, seasonal pattern of the diseases , short study period and small number of study population. Hence, it can be recommended further extensive investigation on gastrointestinal parasitism to overcome the limitation of the current studies which will assist to determine the important predictors related to such diseases.
Public Perception of Circular Economy in Bangladesh
(2022-11-05) E.Moula, Md. Munjur; Sarkar, Laboni; Khanam, Tahamina; Rahman, Abul; Basu, Papia; Hasan, Rakibul; Arman, Sahadat Hossain; Sohan, Ashiquzzaman; Hossain, Md. Alamin; Islam, Md. Ariful; Abdullah, Abu Yousuf Md.; Anindo, Mesbaul Islam; Sorvari, Janna
Moving from linear to circular economy in Bangladesh, requiring public perception which is one of the major driving forces. Public perception can contribute to the implementation of circular economy in Bangladesh. There has been no research on this topic done before. This exploratory, survey-based study of 247 respondents investigates public perception in terms of public awareness and knowledge towards circular economy implementation, using a multiple- choice questionnaire that was designed with three groups of questions: background information, environmental awareness in terms of circular economy implementation, and willingness to share information about the importance of circular economy. Public perceptions of circular economy were evaluated through quantitative analysis and content analysis, which was applied to analysis the robustness of survey results. The study indicates that 98% of the respondents have no idea with the term circular economy. Public awareness of the circular economy concept also has a positive correlation with them at age level and gender differences, such individuals (35%) believing that environmental awareness could support to implement circular economy in Bangladesh. The study results show that 83.7% of total respondents want to reuse second hand product at their home, and 80% respondents want to share information about the importance of circular economy with their family members, neighbours' and alike. This study provides an initial step towards better understanding about why public perception is required to support the process of circular economy implementation in Bangladesh.
Restricting Carriers to Device to Device (D2D) Communication Using Layer 3 Control for LTE
(Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2013-11-15) Hasan, Rakibul; Hossain, Naheed; Mahmud, Iqbal
With increasing demand of high data rate wireless access for multimedia services, the Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) has been proposed to develop new technology components that can meet the requirements of IMT-Advanced systems. IMT-A will offer a high bandwidth up to 100MHz for higher data rates, global operation and economy of scale supporting a wider range of services. Many candidate radio interface technologies have been submitted to the International Telecommunications Union (ITU) to prepare new technology components for LTE to meet IMT-A requirements. Among which, device-to-device (D2D) communication has received increasing attentions as a promising component to improve spectral efficiency. Unlike the infrastructure based cellular network, D2D users (user equipments or mobile terminals) do not communicate via the central coordinator (base station or evolved NodeB) but operate as an underlay and communicate directly with each other. D2D communication shares the same resources with the cellular system whereas under the control of the evolved NodeB (eNB) of the cellular network. D2D communication is a promising concept which can provide several advantages such as low cost, flexibility etc. Its usage of bandwidth and battery power is more efficient. Indeed, such D2D communication is likely to become integral to the future beyond 3G world to form a hybrid network. This Thesis work is focused on cell edge D2D users. Normally Cell edge users suffer from high interference from the other cells. Power Control is also a problem for cell edge users as cell edge users need higher power but eNB can’t provide excessively high power because it might interfere others in the cell .As a result performance degradation occurs in case of cell edge users. For this reason, we gave an idea where cell edge users will be entertained with same SNR and same data rate like the other users in the cell. We proposed an idea where the cell edge users of interconnected eNBs will be allocated same resource blocks which will not be given to the cellular users. In this work, we showed the differences of data rate, Shannon capacity, transmit power between cellular and D2D users in the cell edge. In all the cases, our proposed idea showed better performance through simulation using MATLAB.
Sustainable Grain Protection: Combatting Rice Weevils (Sitophilus oryzae) with Natural Plant Powders
(Asian Journal of Research in Crop Science, 2024) Hasan, Rakibul; Rana, Sohel; Nasim, Roconuzzaman; Billah, Masum; Rahaman, Sadia; Shahrin, Kazi Rifat; Rahman, Anisur; Das, Krishna Rany; Ahmed, Kazi Shahanara
Grain storage plays a pivotal role in ensuring food security and sustaining agriculture for future generations. However, a wide array of insect pests, including the rice weevil (Sitophilus oryzae), pose a significant threat to stored grains. This study was conducted at the Laboratory of the Department of Seed Science and Technology, Bangladesh Agricultural University, Mymensingh, from October 2019 to March 2020, to evaluate the efficacy of plant-based powders for managing rice weevils. The experiment was designed using a Completely Randomized Design (CRD) with three replications and seven treatments. These treatments included five botanical powders—Ocimum tenuiflorum (Tulsi), Azadirachta indica (Neem), Polygonum hydropiper (Biskatali), Nicotiana tabacum (Tobacco), and Lantana camara (Lantana)—applied at three dosage levels: 1 g, 3 g, and 5 g per 100 g of grain. Additionally, a chemical insecticide (Sevin 85 SP @ 0.25%) and an untreated control were included for comparison. Results revealed that neem leaf powder was the most effective, achieving the highest adult insect mortality and the lowest adult emergence. In contrast, Lantana powder exhibited the least efficacy, allowing 94.38% more adult insects to emerge compared to neem powder. Untreated grains experienced a 20% weight loss due to rice weevil infestation after one month of storage, whereas treatment with 5% neem leaf powder reduced weight loss to a mere 0.14%. This reduction was statistically significant compared to all other treatments. These findings suggest that neem leaf powder at 5% is a highly effective, eco-friendly, and safe alternative to chemical insecticides for controlling rice weevils in stored grains.
The impact of streaming services on traditional TV services in Bangladesh
(BRAC University, 2025-05) Hasan, Rakibul; Hasan, Md Tanvir; Tabassum, Takmilla
Various Type of Knit Fabrics Export in Bangladesh
(Daffodil International University, 2022-01-30) Chanda, Sajib Kumar; Hasan, Rakibul; Sarker, Sagar
The main objective of this study is to investigate the overall effectiveness of different types of knit fabrics using different GSM and specific diameters. This lookup often does not focus on adjusting the specific parameters (GSM, CPI, WPI, SL, compression and diameter) of the exceptional knit fabric after the stenting process. The goal of this study is to measure GSM, CPI, WPI, SL, and diameter and before and after stenting by measuring GSM, CPI, WPI, SL, diameter, and compression before and after stenting to find out how much has changed between compression and before stenting. Collected various type of information about the knit fabrics exported from Bangladesh. We visit the mondol Fabrics Ltd and gather the various types of information.