DIU Faculty Publication: Recent submissions

  • Embedded Subscriber Identity Module with Context Switching 
    Sarker, Kaushik; Islam, K. M. Muzahidul (Communications in Computer and Information Science, Springer, 2019-11-13)
    Telecommunications technology user wants quality channels including security, customization, personalization and autonomy. These requirements are encouraging customers to use multiple identity modules. Use of multiple ...
  • Energy Efficient Instruction Register for Green Communication 
    Siddiquee, Shah Md Tanvir; Kumar, Keshav; Pandey, Bishwajeet; Kumar, Abhishek (International Journal of Engineering and Advanced Technology, 2019-01)
    Our work represents the interfacing of instruction register with FPGA. In this work we have taken three different FPGA of Virtex family that are Virtex 4, Virtex 5 and Virtex 6 and have observed the power variation of ...
  • Enhance Cell Performance of DSSC by Dye Mixture, Carbon Nanotube and Post TiCl4 Treatment Along with Degradation Study 
    Kabir, Fahmid; Sakib, Syed Nazmus; Uddin, Sheikh Shehab; Efaz, Erteza Tawsif; Himel, Md.Tahmid Farhan (Sustainable Energy Technologies and Assessments, Elsevier, 2019)
    This study employs betalain extract from beetroot and curcumin extract from turmeric as sensitizer source for TiO2 based dye-sensitized solar cell (DSSC) that has completely different absorption spectrum. The dye mixture ...
  • Enhanced Cryptocurrency Security by Time-based Token Multi-factor Authentication Algorithm 
    Taher, Kazi Abu; Nahar, Tahmin; Hossain, Syed Akhter (1st International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2019, IEEE, 2019-02-21)
    A noble multi-factor authentication (MFA) algorithm is developed for the security enhancement of the crypto currency (CR). The main goal of MFA is to set up extra layer of safeguard while seeking access to a targets such ...
  • Comparative Analysis of Human Face Recognition Using SURF and Neural Network Methods 
    Shamrat, F.M. Javed Mehedi; Bhowmik, Shohag Kumar; Muntasim, Mst. Fahmida; Nibir, Tafsirul Islam; Chowdhury, Tahmid Rashik; Thapa, Sittal (Scopus, 2021)
    In computer vision, facial recognition technology is used to recognize every person. This approach is a revolution that is perfect for analyzing a graphic image or a video frame specially or differently. There are, however, ...
  • IoT Based Smart Automated Agriculture and Real Time Monitoring System 
    Shamrat, F. M. Javed Mehedi; Hossain, Alamin; Roy, Tonmoy; Khan, Md Ahasanul Adeeb; Khater, Ankit; Rahman, Md Tareq (Scopus, 2021)
    In Bangladesh, agriculture is the primary source of income. It has a significant impact on the country's economy. However, agriculture is being hampered these days due to citizens shifting from rural to urban areas. ...
  • Comparative Analysis to identify the best Classifier for Parkinson Prediction 
    Shamrat, F.M. Javed Mehedi; Bhowmik, Shohag Kumar; Sultana, Zakia; Hossain, Ahbab; Amina, Mahdia; Thapa, Sittal (Scopus, 2021)
    Parkinson disease has become one of the most common diseases among people over the age of 65. Neurodegenerative disease affects movement, speech and other cognitive abilities. Among patients, the symptoms vary at a different ...
  • Industrial Fault Detection Using Transfer Learning Models 
    Chakraborty, Sovon; Shamrat, F.M. Javed Mehedi; Afrin, , Saima; Saha, Shaikat; Ahmed, Ishtiak; Thapa, Sittal (Scopus, 2021)
    Industry and equipment are critical factors in the advancement of human society in the era of the industrial revolution. Since factories are reliant on their machines, they must be maintained daily. However, if the machines ...
  • An Automated Smart Embedded System on Fire Detection and Prevention for Ensuring Safety 
    Shamrat, F.M. Javed Mehedi; Khan, Aliza Ahmed; Sultana, Zakia; Imran, M. M.; Abdulla, Abdulla; Khater, Ankit (Scopus, 2021)
    One of the biggest issues for architects, planners, and landowners is house combustion. Singular sensors have been used in the case of a fire for a long time, but they cannot quantify the volume of fire to warn emergency ...
  • An Early Recognition Approach for Okra Plant Diseases and Pests Classification Based on Deep Convolutional Neural Networks 
    Hridoy, Rashidul Hasan; Afroz, Maisha; Ferdowsy, Faria (Scopus, 2021)
    The issue of effective plant disease and pest prevention is compactly connected to the issues of sustainable agronomics and climate change. Okra plant diseases and pests cause intense monetary losses to the growing okra ...
  • Text Classification on Twitter Data Using Machine Learning Algorithm 
    Ruchika; Sharma, Mayank; Hossain, Syed Akhtar (Scopus, 2021)
    Classification of text is the major challenge faced by the industries so that they can extract the required information from that data. With the advent of machine learning, it becomes a lot easier for the engineers to ...
  • Brain Sensing with Wearable Headband (ACP2) 
    Akter, Nasrin; Hossain, Nijar; Sattar, Abdus (Scopus, 2021)
    This paper demonstrates an implementation of a mobile application capable of visualizing EEG data in a meaningful way. The project revolves around the Muse Wearable headband, a commercial device capable of reading EEG ...
  • A Bayesian Structural Time Series Model for Assessing Road Traffic Accidents during COVID-19 Period 
    Huq, Armana; Islam, Shahrin (Scopus, 2021)
    This is a systematic study to understand the effect of the implementation and removal of restrictive measures on road accidents statistics, using newspaper-based database. The time frame of data is between 1st January 2020 ...
  • Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh 
    Ridoy, Md. Asif Mahmud; Sarker, Md. Fahim; Datta, Shuvo; Sattar, Abdus (Scopus, 2021)
    Bangladesh is an agricultural country. Rice is one of the major agricultural products of this country. Rice is the staple food of most of the people in Bangladesh. As a result, there is a considerable demand for rice. So, ...
  • A Deep Learning Approach to Predict Chronic Kidney Disease in Human 
    Arafat, Faisal; Khan, Thaharim; Bapon, Atanu Das; Khan, Md. Ibrahim; Noori, Sheak Rashed Haider (Scopus, 2021)
    Renal turmoil otherwise called Chronic Kidney Disease (CKD) has been a very important field of study for a long while now. Diagnosis of CKD requires a lot of tests and it's not a straightforward or easy process. Recent ...
  • Sunflower Diseases Recognition Using Computer Vision-Based Approach 
    Rajbongshi, Aditya; Biswas, Al Amin; Biswas, Jahanur; Shakil, Rashiduzzaman; Akter, Bonna; Barman, Mala Rani (Scopus, 2021)
    Sunflower (Helianthus annuus) is a plant categorized as a low to medium drought-sensitive crop. It adds a significant value to the agricultural-based economy. But nowadays worldwide sunflower production is in crisis due ...
  • Prospect of Mini-Hydel Power Generation in Drainage Systems of Bangladesh 
    Ali, MM Naushad; Nahian, Ahmed J.; Siddique, Abdul Hasib; Hasan, Mehedi; Chowdhury, Nusrat; Hossain, Chowdhury Akram (Scopus, 2021)
    In today's world, large-scale hydroelectric power plants have an impact in the energy demography; although, the huge potential of pico, micro and mini-hydropower plants are still very much untapped. In this work, a ...
  • Was There Any Change in Tobacco Smoking Among Adults in Bangladesh during 2009-2017 Insights from Two Nationally Representative Cross-sectional Surveys 
    Rahman, Md Ashfikur; Kundu, Satyajit; Ahinkorah, Bright Opoku; Okyere, Joshua; Halder, Henry Ratul; Rahman, Md Mahmudur; Yadav, Uday Narayan; Mistry, Sabuj Kanti; Rahman, Muhammad Aziz (BMJ Open, 2021)
    Objective: This study assessed the changes in prevalence and associated factors of tobacco smoking among Bangladeshi adults over time. Design: Nationally representative cross-sectional surveys. Setting: Two most recent ...
  • Clinical Characteristics and Diagnostic Challenges of COVID−19: An Update from the Global Perspective 
    Israfil, S. M. Hasan; Sarker, Md. Moklesur Rahman; Rashid, Parisa Tamannur; Talukder, Ali Azam; Kawsar, Khandkar Ali; Khan, Farzana; Akhter, Selina; Poh, Chit Laa; Mohamed, Isa Naina (Scopus, 2021)
    Clinical characteristics are essential for the correct diagnosis of diseases. The current review aimed to summarize the global clinical characteristics of the COVID-19 patients systematically and identify their diagnostic ...
  • Performance Analysis of Chronic Kidney Disease through Machine Learning Approaches 
    Emon, Minhaz Uddin; Imran, Al Mahmud; Islam, Rakibul; Keya, Maria Sultana; Zannat, Raihana; Ohidujjaman, Ohidujjaman (Scopus, 2021)
    Data mining and machine learning play a vital role in health care and also medical information and detection, Now a day machine learning techniques use awareness of some major health risks such as diabetic prediction, brain ...

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