DIU Faculty Publication: Recent submissions

  • A New Approach to Hiding Data in the Images Using Steganography Techniques Based on AES and RC5 Algorithm Cryptosystem 
    Hossen, Md. Sagar; Islam, Md. Ashiqul; Khatun, Tania; Hossain, Shahed; Rahman, Md. Mahfujur (IEEE, 2020-09)
    In the new era of modern science and technology is developing day by day, data confidentiality is risky, all over the world and it increases rapidly. In this paper, a new approach to hiding the data using steganography ...
  • A Mutation Triggering Method for Genetic Algorithm to Solve Traveling Salesman Problem 
    Qaiduzzaman, Khandker M.; Khatun, Sabira; Afsa, Maliha; Sobhan, Sadman; Hossain, Md. Elias; Shaharum, Syamimi Mardiah; Rahman, Mostafijur (Springer, 2020-07-09)
    This chapter reveals the effect of combining mutation operators in Genetic Algorithm. Though mutation is a very effective genetic operator to escape the local optima, it has an adverse effect on computation time. It is ...
  • A Machine Learning Approach to Automating Bengali Voice Based Gender Classification 
    Badhon, S.M. Saiful Islam; Rahaman, Md. Habibur; Rupon, Farea Rehnuma (IEEE, 2019-11)
    Does thicker vocal folds produce sounds with longer wavelength? And can they produce higher pitches to human ears? We address these types of questions and try to identify the difference between male and female voices. By ...
  • A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 
    Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • A Large-Scale Investigation to Identify the Pattern of App Component in Obfuscated Android Malwares 
    Russel, Md. Omar Faruque Khan; Motiur Rahman, Sheikh Shah Mohammad; Islam, Takia (Springer, 2020-06-15)
    Number of smartphone users of android based devices is growing rapidly. Because of the popularity of the android market malware attackers are focusing in this area for their bad intentions. Therefore, android malware ...
  • A Knowledge Base Data Mining Based on Parkinson's Disease 
    Hassan, Md. Redone; Kadir, S.K. Obidul; Islam, Md. Aminul; Abujar, Sheikh; Zannat, Raihana; Ohidujjaman (IEEE, 2019-11)
    The approaches to detecting Parkinson's disease in the human body from voice data by using Classification techniques apply three different algorithms for finding the growth rate of this disease. Unified Parkinson's disease ...
  • A Hybrid GRU-CNN Feature Extraction Technique for Speaker Identification 
    Shihab, Md. Shazzad Hossain; Aditya, Shuvra; Setu, Jahangir Hossain; Imtiaz-Ud-Din, K. M.; Efat, Md. Iftekharul Alam (IEEE, 2020-12)
    Speaker identification with diversified voice clip across the globe is a crucial and challenging task, specially extracting vigorous and discriminative features. In this paper, we demonstrated an end-to-end speaker ...
  • A Framework to Address Security Concerns in Three Layers of IoT 
    Jose, Alwyn; Azam, Sami; Karim, Asif; Shanmugam, Bharanidharan; Faisal, Fahad; Islam, Ashraful; De Boer, Friso; Jonkman, Mirjam (IEEE, 2020-11-20)
    The Internet of Things (IoT) is becoming part of many aspects of our life, including healthcare, home utilities, retail, energy, logistics, etc. This prolific and ubiquitous nature of IoT based systems brings with it the ...
  • Vector Representation of Bengali Word Using Various Word Embedding Model 
    Rafat, Ashik Ahamed Aman; Salehin, Mushfiqus; Khan, Fazle Rabby; Hossain, Syed Akhter; Abujar, Sheikh (Scopus, 2020)
    To transfer human understanding of language to a machine we need word embedding. Skipgram, CBOW, and fastText is a model which generate word embedding. But finding pretrained word embedding model for the Bengali language ...
  • Utilizing Smartphone Usage Pattern for Gender Recognition Applying Machine Learning Algorithms 
    Polin, Johora Akter; Khan, Omayer; Marouf, Ahmed Al (Scopus, 2020)
    Smartphones can connect people over long distance within few seconds and perform critical tasks easily. The concept of global village has turned into reality through the optimum usage of smartphones. Smartphone is not just ...
  • Use of Bioactive Extracellular Matrix Fragments as a Urethral Bulking Agent to Treat Stress Urinary Incontinence 
    Wang, Ying; Duan, Meng; Rahman, Mahbubur; Yang, Ming; Zhao, Weixin; Zhou, Shukui; Gao, Guo; Fu, Qiang (Scopus, 2020)
    Injection of urethral bulking agents is a low-risk, minimally invasive surgical procedure to treat stress urinary incontinence (SUI). In this study, we developed a promising injectable bulking agent comprising extracellular ...
  • Usability and Accessibility Testing 
    Jeba, Madina Tul; Sadia, Farzana; Rahman, Tasnim; Hossain, Kazi Md Istiyak; Bhuiyan, Touhid (2020)
    People around the world use the information and avail services from government websites, thus the usability and accessibility of these websites are few of the main concerns for digital literacy of e-government system. The ...
  • Unleashing the VEP Triplet Count of Virtually Created 3D Bangla Alphabet to Integrate with Augmented Reality Application 
    Ghosh, Apurba; Ghosh, Anindya; Ahmed, Arif; Uddin, Md Salah; Rahman, Mizanur; Hasan, Md Samaun; Uddin, Jia (Scopus, 2020)
    This paper demonstrates the process of calculating VEP triplet count of Bangla Alphabet which are unlike traditional hand written or printed letters, but created entirely in 3 dimensional virtual environment to effectively ...
  • Understanding How Marginalized Hijra in Bangladesh Navigate Complex Social Media Ecosystem 
    Nova, Fayika Farhat; DeVito, Michael Ann; Saha, Pratyasha; Rashid, Kazi Shohanur; Turzo, Shashwata Roy; Afrin, Sadia; Guha, Shion (Scopus, 2020)
    There is a growing scholarly recognition of the experiences and diversity of gender and sexual orientations beyond hetero-normative identities [4, 6] in research; however, they ultimately categorize gender and sexuality ...
  • Understanding Business Intelligence in the Context of Mental Healthcare Sector of Bangladesh for Improving 
    Tumpa, Zerin Nasrin; Saifuzzaman, Mohd.; Rabby, SK. Fazlee; Crearie, Linda; Stansfield, Mark (Scopus, 2020)
    Business Intelligence (BI) can produce solutions that can enable different organizations to take fast and effective decision making by extracting valuable information and discovering underlying data patterns. Whilst health ...
  • Two-Phase Natural Convection Analysis and Hybrid Nanoparticle Migration around Micromixer Blades 
    Hatami, Mohammad; Uddin, Md. Jashim; Hu, Meibing; Jing, Dengwei; Javed, Maryiam (Scopus, 2020)
    In this paper, numerical investigations are presented for hybrid nanoparticle migration and free convection heat transfer of two kinds of nanofluids in a micromixer at the fixed propeller condition. The inner blades and ...
  • Knowledge and Attitudes Associated with Menopause among Women Aged 45 to 60 Years 
    Harun, Md Golam Dostogir; Salema, Umme; Chowdhury, Aluddin; Haque, Md Imdadul; Abdullah Heel Kafi, Mohammad; Shahajahan, Md; Sharmin, Sabrina (Menopause, 2020-06-27)
    Objective: To assess knowledge and attitudes associated with the menopause transition among women in Bangladesh. Methods: A cross-sectional survey was conducted among women (age range 45-60 y), 160 participants were ...
  • IOT-NFC Controlled Remote Access Security and an Exploration through Machine Learning 
    Khan, Md. Abbas Ali; Hanif Ali, Mohammad; Haque, A.K.M Fazlul; Sharmin, Farah; Jabiullah, Md. Ismail (2020 18th International Conference on ICT and Knowledge Engineering (ICT&KE), IEEE, 2020-12-25)
    Internet of Things (IOT) is a system that allows to connect the computing devices without the help of human-to-human or human-to-computer interaction. This paper proposes an app-based remote access control door lock security ...
  • IOT Based Smart Health Monitoring System for Diabetes Patients Using Neural Network 
    Efat, Md. Iftekharul Alam; Rahman, Shoaib; Rahman, Tasnim (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    In improvement of the quality of health care services, Internet of Things (IoT) has evolved rapidly for monitoring patient from distance. However, notifying health status based on continuous change of health condition for ...
  • IOT Based Smart Energy Monitoring and Warning System 
    Sium, Farhan Sadik; Ghosh, Arnob; -Al-Hossain, Md. Junaed (11th International Conference on Electrical and Computer Engineering (ICECE), IEEE, 2021-04)
    Real time monitoring and over usage notification system are prerequisite for developing awareness about proper usage of electrical energy. In this research an IoT (Internet of Things) based device and a unique apps have ...

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