Browsing by Author "Islam, Mahmudul"

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A Car Security System Based on Alerting Driver Drowsiness and Monitoring the State of the Vehicle
(Independent University, Bangladesh (IUB), 2023-10) Hasan, Md Jahid; Abidur Rahman, Sagor; Islam, Mahmudul; Amin, Mahamudul; Mehedi, Rubayed; Hasan, Mahady
Accidents on the road are the primary cause of death, particularly among children and adolescents. Despite having fewer vehicles, low- and middle-income countries account for the preponderance of these fatalities. Consequently, a system that monitors vehicles and takes the necessary precautions to prevent collisions and fatalities is urgently required. lhis paper proposes a system of Open CV image processing techniques to monitor the driver's eye movements in order to prevent accidents caused by behavioral and psychological changes while driving. The main processing unit (MPU) of the system we have developed consists of Raspberry Pi, Microcontroller, and sensors. Both on day and night time, it detects driver drowsiness and alerts them with a wristband. In low-light conditions, two infrared (IR) blasters and multiple light-dependent resistors (LDR) sensors were used to accurately detect driver fatigue. During an accident, the MPU' s accident detection module will identify and send an SMS message to the vehicle owner with the vehicle's location and data. Eventually, the local police station, fire department, and other safety agencies will be able to take immediate action. The novel aspect of this study is the combination of image processing techniques and sensors that accurately monitor driver behaviour and identify fatigue. The accident detection module of the system is also distinct and can provide emergency services with vital information in the event of an accident.
Adaptive Software Engineering: Integrating AI-driven Techniques for Software Development
(IUB, CSE, 2024-01-28) Islam, Mahmudul; Khan, Farhan
The study “Impact of COVID-19 on the Factors Influencing On-Time Software Project Delivery: An Empirical Study” investigates the adaptive nature of software companies during the challenges posed by the COVID-19 pandemic. Despite numerous obstacles, the study reveals how these companies managed to deliver software projects on time, showcasing the resilience and adaptability of the software development process in the face of unprecedented circumstances. The second research study “Artificial Intelligence in Software Testing: A Systematic Review” focuses on the integration of AI-driven techniques for software development. This systematic review explores the role of artificial intelligence in software testing. It shows the increasing utilization of AI techniques in software engineering, particularly in testing processes. The study highlights the justification for incorporating AI-driven approaches. It also emphasizes the widespread adoption of AI techniques due to enhanced computer hardware capabilities and the abundance of available data. The third research study “Factors to Form Business Strategy for Online- Based Ride-Sharing Services” examines the marketing perspective within the context of Bangladesh. This study investigates the factors influencing the success of online-based ride-sharing services. The study emphasizes the significance of continuous user feedback and its integration into the software development process. It suggests that incorporating user insights enhances the success rate of the software. It also provides valuable insights for forming business strategies in the competitive ride-sharing industry. These three research studies collectively contribute to the theme of adaptive software engineering by addressing challenges posed by external factors, integrating AI-driven techniques in software testing, and exploring business strategies with a focus on user feedback and integration in the context of online-based ride-sharing services in Bangladesh.
An investigation on implementations of theoretical whitebox cryptographic solutions
(BRAC University, 2024-01) Eshan, Adnan Rahman; Kashfee, Jarin Tasnim Khan; Hasan, Md. Rabib; Islam, Mahmudul; Yanhaona, Muhammad Nur
Whitebox Cryptography techniques are those which are aimed at protecting software implementations of cryptographic algorithms against key recovery in unprotected devices. The sensitive data embedded in the code is the major concern in any security-sensitive application. Therefore, data encryption is indispensable. But white box cryptography aims to protect the security keys used for data encryption from being revealed. As a whole, such a type of cryptography concerns the analysis of algorithms that are said to operate in a whitebox attack context. In this attack context, all information and details of implementations are visible to an attacker. The attacker not only sees the input and output portions, but they can also see every intermediary implementation and operation that happened along the way. The challenge that whitebox cryptography aims to address is implementing a cryptographic algorithm that will keep the cryptographic assets of software secure even when subject to whitebox attacks. As converting blackbox cryptographic algorithms to whitebox has some sort of performance consequences that have not been measured or identified properly, we will compare the performance of alternative algorithms. In addition to that, as some of the algorithms have very few implementations and any e↵ective open source implementation is yet to be found that will help the researchers in this sector, we will write an open source white box implementation for our performance analysis and the future benefit of the researchers. Moreover, companies lacking resources /skills may also be benefited because of such implementation. In addition, we want to investigate the kinds of attacks that can be launched against the solution in our library and try to add security features to strengthen them to resist common forms of attacks.
Artificial Intelligence in Software Testing: A Systematic Review
(IEEE Region 10 Technical Conference (TENCON 2023), Thailand, 2023-07) Islam, Mahmudul; Khan, Farhan; Alam, Sabrina; Hasan, Mahady
Software testing is a crucial component of software development. With the increasing complexity of software systems, traditional manual testing methods are becoming less feasible. Artificial Intelligence (AI) has emerged as a promising approach to software testing in recent years. This systematic review study aims to provide the recent trend and the current state of software testing using AI. This study examines different types of approaches, techniques, and tools used in this area and assesses their effectiveness. The selected articles for this study have been extracted from different research databases using a search string. Initially, 90 articles were extracted from different research libraries. After gradual filtering in three different phases, 20 articles were selected for final review. Around 50 articles were studied to explore the use of AI in software testing and get an in-depth overview of it. The findings of this study suggest that various testing tasks can be automated successfully using AI, including Machine Learning (ML) and Deep Learning (DL), such as Test Case Generation, Defect Prediction, Test Case Prioritization, Metamorphic Testing, Android Testing, Test Case Validation, and White Box Testing. This study concludes that the integration of AI in software testing is simplifying software testing activities while improving overall performance. This study offers a comprehensive analysis of the utilization of AI techniques in different software testing activities.
Drug-Drug interaction analysis of collected prescriptions from different regions of Bangladesh
(BRAC University, 2020-12) Islam, Mahmudul; Haque, Md. Aminul
Drug-drug interactions is one of the major kinds of drug interactions which is particularly originated from faulty prescription. In Bangladesh, drug-drug interactions are firing up very rapidly which is eventually damaging our health sector day by day. Drug-drug interactions are not just altering the therapeutic benefits but also creating adverse drug events which is taxing on our healthy lifestyle. The principal objective of this study is to portray the present synopsis of Bangladesh regarding to the drug-drug interactions and the unsafe healthcare systems by evaluating random prescriptions chosen from different regions of Bangladesh. Expectantly, this investigational study can deliver an insight to the current healthcare personnel and researchers, so that they can overcome this health hazard in near future.
Factors to Form Business Strategy for Online-Based Ride-Sharing Services
(Second World Conference on Information Systems for Business Management (ISBM), 2023, Springer, 2023-06) Islam, Mahmudul; Khan, Farhan; Nahar, Nujhat; Hasan, Mahady
In terms of social, economic, sustainability, and environmental challenges, ride-sharing services play a significant role in reducing traffic congestion and the number of automobiles on the road. The objective of this study is to investigate the important factors for the business of ride-sharing services. Also to understand how the ride-sharing companies’ software marketing strategies evolved especially amid the COVID- 19 pandemic to attract consumers and keep customer retention consistent. This research was done through a blended approach of quantitative and qualitative methods. Google forms have been used to collect data from respective stakeholders. In data analysis, Python has been used to extract statistical data and to evaluate variables that played a vital role in customers’ and companies’ perspectives. In this survey research, 108 responses have been received from consumers and 4 responses from companies. Collected survey data shows that safety issue was the most critical factor during the pandemic while avoiding traffic jams before the pandemic. Promotional marketing such as offering discounts on special hours plays a vital role to attract customers. Emergency contact alert, live location sharing, better quality helmets, and ride-sharing with multiple people these facilities have been demanded by the survey respondents. Customers showed a positive perception regarding extra services provided by ride-sharing companies during COVID-19. The results of this study discovered improvement factors that can be used to make business strategies for ride-sharing companies. This study will also help marketing strategists to get a better understanding of their shortcomings and have a scope for a more detailed investigation further in the future.
Fake News Detection Using Machine Learning Techniques
(Independent University, Bangladesh, 2023-03) Sultana, Achhiya; Islam, Mahmudul; Hasan, Mahady; Ahmed, Farruk
A lot of information is spread by people in the social media to update their status and share crucial news with others. But the majority of these platforms don’t promptly validate the individuals or their posts and people aren’t able to identify the fake news manually. Therefore, there is a need for an automated system capable of detecting fake news. This research has proposed to build a model using four machine learning algorithms. The dataset employed in the experiment is a composite of two datasets containing almost equal amounts of true and fake news articles on politics. The preprocessing stages begin with cleaning the data by removing punctuation, tokenization, special characters, white spaces, redundant word elimination, numerals, and English letters followed by stemming and stop with data discretization. Then, we analyzed the collected data and 80% of the data has been used to train each model initially. After that, the four manifested classification algorithms are applied. For identifying fake news from news articles, methods like Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting Classifier were used. The trained classifiers’ accuracy has been evaluated using the remaining 20% of the data. The results show that the decision tree model produces the best accuracy of 99.60% and gradient boosting of 99.55%. Besides, the random forest shows 99.10% along with the logistic regression 98.99%. Moreover, we have explored the best model to achieve the highest precision, recall, F1-score based on the confusion matrix’s outcome.
Impact of COVID-19 on the Factors Influencing On-Time Software Project Delivery: An Empirical Study
(18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), April 24 - 25, 2023 Prague, Czech Republic, 2023-03) Islam, Mahmudul; Khan, Farhan; Hasan, Mehedi; Sadia, Farzana; Hasan, Mahady
The objective of this research paper is to investigate the impact of COVID-19 on the factors influencing ontime software project delivery in different Software Development Life Cycle (SDLC) models such as Agile, Incremental, Waterfall, and Prototype models. Also to identify the change of crucial factors with respect to different demographic information that influences on-time software project delivery. This study has been conducted using a quantitative approach. We surveyed Software Developers, Project Managers, Software Architect, QA Engineer and other roles using a Google form. Python has been used for data analysis purposes. We received 72 responses from 11 different software companies of Bangladesh, based on that we find that Attentional Focus, Team Stability, Communication, Team Maturity, and User Involvement are the most important factors for on-time software project delivery in different SDLC models during COVID-19. On the contrary, before COVID-19 Team Capabilities, Infrastructure, Team Commitment, Team Stability and Team Maturity are found as the most crucial factors. Team Maturity and Team Stability are found as common important factors for both before and during the COVID-19 scenario. We also identified the change in the impact level of factors with respect to demographic information such as experience, company size, and different SDLC models used by participants. Attentional focus is the most important factor for experienced developers while for freshers all factors are almost equally important. This study finds that there is a significant change among factors for on-time software project delivery before and during the COVID-19 scenario.
Performance analysis of solar car considering the environmental impact
(BRAC University, 2021-01) Islam, Mahmudul; Fahim, Mohammad Shakhawat Hossain; Tamim, MD Tazzammul Hossain; Sakib, Nazmus; Rahman, Md. Mosaddequr
The aim of this project is to analyze the performance of a solar powered car considering environmental impact. A solar powered car which has taken into consideration has already been developed. Though the theoretical analysis of the previous research did not perform the environmental study. In this study the performance of the solar car has been analyzed considering input incident energy calculation along with the battery model and the electrical output analysis with changing in different masses and environmental parameters. Moreover, an analysis has been studied about the environmental impact, based on the Carbon dioxide emission from burning fossil fuels and power plants comparing the gasoline and the solar car. Where the results are very promising as the Solar Car can eliminate up to 60% of the carbon dioxide emission related to the transportation sector from Dhaka city and improve public health. Furthermore, a life cycle cost analysis has also been studied. Lastly, the advantages of replacing conventional gasoline cars with Solar cars has been proposed to control the CO2 emission from the transportation sector, based on the performance, environmental and economic analysis done.
Procurement & supply chain management practice in retail pharmacy business: a comprehensive study in context of Wellbeing Pharmacy
(BRAC University, 2024-05) Islam, Mahmudul; Yasmin, Hasina
This report delves into the current landscape of the Retail Pharmacy Industry in Bangladesh, highlighting its growth and prominence post the COVID-19 pandemic. The industry has witnessed significant expansion, with the launch of numerous new pharmacies during the pandemic and continued growth thereafter. Recognizing the promising future, major companies have begun investing in this sector. Despite its potential, there is a notable absence of a formalized supply chain structure in this industry. The report aims to shed light on the present scenario, future prospects, and key players in the retail pharmacy sector. Each chapter is strategically designed to provide valuable insights into different aspects of the industry. Chapter-1 offers a concise introduction to the industry, outlines the objectives of the report, and presents other relevant data. Chapter-2 shows the sources of the data of this research. Chapter-3 presents an overview of the sector, global trends, and best practices in the pharmacy domain. It explores techniques for effective supply chain management in pharmacies and discusses previous studies and research on the procurement and supply chain management of the retail pharmacy sector. Chapter-4 provides a detailed insight into the current procurement and supply chain practices of retail pharmacies in Bangladesh. Chapter-5 involves an in-depth analysis of a prominent retail pharmacy chain in Bangladesh, focusing on 'Wellbeing Pharmacy.' The chapter also discusses successful strategies implemented by leading pharmacies in the country. Chapter-6 highlights the Challenges, Opportunities and Recommendations on the retail pharmacy sector of Bangladesh. Finally, Chapter-7 offers a comprehensive conclusion, summarizing the key findings and insights obtained throughout the report.
Smart switch board: solution for reliability and power management
(BRAC University, 2016) Islam, Mahmudul; Siddiqui, Monoarul Alam; Ehtesum, Md.; Rhaman, Md. Khalilur
Current energy management system calls for reliability and reduction between power supply and demand gaps. As huge development is being made in Smart Grid & Smart Metering systems, other electric switches and components requires upgrade too. This calls for the need of introducing smart switching technology. This paper represents ‘Smart Switch Board’ which is the smarter version of the traditional switch boards. It is an IoT based switching device which enables it to be controlled via apps from smart devices and this feature would become very useful for the old and handicapped persons. Besides, smart switch meter can be used to control smaller areas if it is connected with the router. In that case, it will function via router’s ip address which will make the system more secured. Again, physical contact is not required to operate it and due to the usage of electronics, ac/dc power conversion is required which ensure reliability and safety from fire accidents. The number of wire needed to connect the whole system can be reduced as smart switch meter is a wiring less system. This device is also capable of calculating the power consumption and cost and thus daily/weekly/monthly power consumptions and cost can be tracked which will be helpful for the consumers to create plans for reducing their electricity usage. Hardware components used in smart switch board are quite cheap and easy to replace. Altogether, we aimed for creating a slightly unconventional switch board with a few relatively modern features with a view to introducing a comparatively different lifestyle than the usual.
Understanding Documentary and Filmmaking: Professional Experiences in Fullscreen Films
(Daffodil International University, 2020-04-30) Islam, Mahmudul
It is considered that internship provides the opportunity for exploring professional skills for newly university graduates. Being a student of Journalism & Mass Communication, I have gained a better understanding of Documentary and Filmmaking How Documentary and Film purposes as mass communication implement. Spaced out from institutional learning, I have tried to disclose the concept ‘Documentary and Filmmaking based on practical & professional foundation all through this report. Drawing concentration on Documentary Filmmaking, I have tried to intend the chapters chronologically how a Video Production house& its recruits function like Film kitchen. Introducing the Video Production house, I tried to expect out my individual and professional understandings as an intern. Therefore, the report give you an idea about my professional erudition opportunities and boundaries during my internship.