DSpace at My University: Recent submissions

  • Secret Life of Conjunctions 
    Marouf, Ahmed Al; Hasan, Md. Kamrul; Mahmud, Hasan (Scopus, 2020)
    Large amount of textual, visual, and audio data are generating in social networking sites by the users nowadays. Social media users are generating these data in high increasing rate than any other time. Status updates/tweets, ...
  • Study on Industrial Training at Walton Hi-Tech Industries Ltd. Chandra, Kaliakoir, Gazipur 
    Hossain, Md Sabbir (Daffodil International University., 31-01-20)
    This report is based entirely on industrial training in Walton Hi-Tech Industry, which one of the leading brands in Bangladesh. Through this I learned about the history of the company and the success goals of the company ...
  • Saturation Point Determination of Different Types of Reactive Dyes (Use Shade % 4 to 8) 
    Sen, Sufal; Sarker, Shabuj Kumer (Daffodil International University, 2020-12)
    In this study dyeing of 100% cotton knit fabrics were performed by using reactive dye at different shade percentages (2.0%, 4.0%, 6.0% & 8.0%).Exhaust dyeing method was applied in the experiments for 100% cotton knitted ...
  • Analysis of CIELAB Color Space of Cotton Knit Fabric Dyed with Reactive Dyes 
    Saha, Joy; Faruq, Md. Omor; Mia, Arman (Daffodil International University, 2021-01)
    Color features a semantic content that touching directly our sentimental world. it's a big influence on the aesthetic properties of textiles. Color is that the results of coloring a textile material depends on the chemical ...
  • Estimation and Analysis of Solar Rooftop Photovoltaic Power System in Bangladesh 
    Miah, Arif (Daffodil International University, 2020-12)
    This research is an effort to find out the appropriateness of Solar Rooftop System (SRS). Provided that, Solar Rooftop System is the simplest way to alleviate the waste of electricity and to keep the environment green. ...
  • A Study on Determining The Potential Size of a Waste to Energy Plant in Chattogram 
    Uddin, Md. Noeem (Daffodil International University, 2021-01)
    Municipal solid waste is a fast growing and a serious threat to the world as it is producing methane (CH4) gas that is 34 times stronger than carbon dioxide (CH2). The growing amount of waste around the world polluting ...
  • Study of Production System of Energypac Electronics Bangladesh Ltd. 
    Islam, Md. Saiful (Daffodil International University, 2021-01)
    This internship report is an exclusive study of Industrial production process of ceiling fan of Energypac Electronics Limited (Factory). The main objective of this report is to get the practical experience through observing ...
  • Scopes of Acid Washing With Varying Concentrations of Phosphoric Acid Vis-À-Vis Bleach Wash 
    Hossain, Md. Jakir; Hoque, Md. Saiful; Rashid, Muhammad Abdur (Scopus, 2020)
    To acquire different fading effect and aesthetic outlook several techniques are applied in order that bleach wash is mostly used. As we know many limitations of bleach wash so our main motive is to find out an alternative ...
  • Rose Diseases Recognition Using MobileNet 
    Rajbongshi, Aditya; Sarker, Toma; Ahamad, Md. Meraj; Rahman, Md. Mahbubur (Scopus, 2020)
    Plants always prove a great assessment of human life for many years in many sectors. Nowadays plant diseases are affecting our agricultural sector very badly. As a result, farmers are facing huge losses. For developing an ...
  • Road Object Detection in Bangladesh Using Faster R-CNN 
    Datta, Anik; Meghla, Tamara Islam; Khatun, Tania; Bhuiya, Mehedi Hasan; Shuvo, Shakilur Rahman; Rahman, Md. Mahfujur (Scopus, 2020)
    The importance of object detection in our lives is increasing day by day. The role of object detection is very important in autonomous cars, intelligent driving assistance, and advanced traffic analysis. In the case of ...
  • Risk Factor Prediction of Chronic Kidney Disease Based On Machine Learning Algorithms 
    Islam, Md. Ashiqul; Akter, Shamima; Hossen, Md. Sagar; Keya, Sadia Ahmed; Tisha, Sadia Afrin; Hossain, Shahed (Scopus, 2020)
    Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity of renal capacities and subsequently damages the kidneys. CKD is very common nowadays; cardiovascular infection and end-stage renal ...
  • Revisiting the Impact of Intrinsic Financial Risks on the Firm Value of Banks in ASEAN-5 Countries 
    Olalere, Oluwaseyi; Islam, Md. Aminul; Junoh, Mohd Zukime Mat; Yusoff, Wan Sallha; Iqbal, Mohammed Masum (Scopus, 2020)
    The paper aims to explore the impact of financial risks on the firm value of banks in ASEAN-5 countries. The study used the panel data regression model to analyze the available data for 63 commercial banks in ASEAN-5 ...
  • Review and Analysis of Risk Factor of Maternal Health in Remote Area Using the Internet of Things (IoT) 
    Ahmed, Marzia; Kashem, Mohammod Abul; Rahman, Mostafijur; Khatun, Sabira (Scopus, 2020)
    IoT is the greatest ingenious innovation in the modern era, which can exploit also in mission-critical like the healthcare industry. This paper demonstrates effective monitoring of pregnant women mostly in a rural area of ...
  • Retrospective Analysis of Hematological Cancer by Correlating Hematological Malignancy with Occupation, Residence, Associated Infection, Knowledge and Previous Cancer History in Relatives 
    Mohammad, Khaled Sohel; Sultana, Nurbinta; Touhid, Hassanat; Esha, Ashrafia (Scopus, 2020)
    Cancer incidences are increasing day by day and has become a global burden now. The incidences are frequently occurring in low-income countries like Bangladesh. A retrospective descriptive type of study had been carried ...
  • Requirements Re-usability in Global Software Development 
    Hossain, Syeda Sumbul; Arafat, Yeasir; Amin, Tanvir; Bhuiyan, Touhid (Scopus, 2020)
    In global software development, requirements re-usability is a common practice which ultimately helps to maintain project quality and reduce both development time and cost. However, when a large-scale project is distributed, ...
  • Refute the Decision of Auto-Promotion and Real Facts of Digital Online Classes during the Pandemic in Bangladesh 
    Hasan, Mehedi; Bijoy, Md. Hasan Imam; Akhi, Sumiya Alam (Scopus, 2020)
    This present research paper is to evaluate the effect and feedback from the people of all professions towards the steps ‘Auto-Promotion’ and ‘Using of online platforms for conducting academic activities’ during the COVID-19 ...
  • Recognition of Local Birds of Bangladesh Using Mobile Net and Inception-v3 
    Rahman, Md. Mahbubur; Biswas, Al Amin; Rajbongshi, Aditya; Majumder, Anup (Scopus, 2020)
    Recognition of bird species can be a challenging task due to various complex factors. The purpose of this work is to distinguish various local bird species of Bangladesh from the image data. The MobileNet and Inception-v3 ...
  • Recommendation Approach of English Songs Title Based on Latent Dirichlet Allocation Applied on Lyrics 
    Hossain, Rafayet; Sarker, Md. Rahmatul Kabir Rasel; Mimo, Mehejabin; Marouf, Ahmed Al; Pandey, Bishwajeet (Proceedings of 2019 3rd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2019, IEEE, 2019-10-17)
    The significance of music has evolved due to the vast diversity of entertainment industry. Songs are the widely used entertainment segment that can influence directly to the heart of the listeners. Choosing a suitable title ...
  • Recognizing Language and Emotional Tone from Music Lyrics Using IBM Watson Tone Analyzer 
    Marouf, Ahmed Al; Hossain, Rafayet; Sarker, Md. Rahmatul Kabir Rasel; Pandey, Bishwajeet; Siddiquee, Shah Md. Tanvir (Proceedings of 2019 3rd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023, IEEE, 2019-10-17)
    Music has a soothing impact on listener's mood and emotional states. Apart from the rhythm, sequence, instrumental effects on a song, lyrics could be considered as the most vital element. Lyricists' mood and affection ...
  • Recognition of Jute Diseases by Leaf Image Classification Using Convolutional Neural Network 
    Hasan, Md. Zahid; Ahamed, Md. Sazzadur; Rakshit, Aniruddha; Hasan, K. M. Zubair (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    As Convolutional Neural Network (CNN) is achieving the state-of-the-art in the field of image classification, this research work focuses on the finding prominent accuracy of the jute leaf image diseases using deep learning ...

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