Browsing by Author "Rahman, MD. Mahfuzur"

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    Early Identifying Heart Disease by Prediction Using Data Mining
    (Daffodil International University, 2021-07-01) Islam, MD. Khairul; Hossain, MD. Nabir; Rahman, MD. Mahfuzur
    Nowadays Cardiovascular disease (heart disease) is a hot theme of medical field. Under the title of “Early Identifying Heart Disease by Prediction by Using Data Mining” our paper will expose pre-condition about heart disease. Whole works are done by some attributes of patients by using some algorithm to express better accuracy of heart disease prediction. K-NN, Decision Tree Classifier, Regression, Support vector Machine, an d Random Forest Classifier are used. Using every algorithm, we found out best accuracy from Random Forest Classifier. And the accuracy is 97.99%. So, after better predicting we/people can take decision our/their next steps for better treatment.
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    Power line communication for smart grid using orthogonal frequency division multiplexing
    (Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30) Kobir, MD. Irteeja; Rahman, MD. Mahfuzur; Hassan, S.M Nahid
    Although views on the specific technology options for smart grids are still divided, there is agreement that heterogeneous communications networks are best suited. Power line communication (PLC) is promising as it is readily available and aligns with the power distribution network's natural topology. One of the new facts is that the smart grid communication system must be energy efficient. This research uses a cross-layer approach in multiple smart grid settings to discuss the energy efficiency of PLC networks. This work utilizes three phases of data collection works to prove and analyze the probability of efficient network-wide packet delivery. Improving the distribution of packets effectively eliminates waste of energy. This work proposes an energy-efficient multi-carrier modulation scheme OFDM at the physical layer. This thesis work was done by 3 phases of data collection. From these stages, the feasibility of the PLC using OFDM for smart grid has been proved. We have studied PLC networks for energy efficient purpose in the application of Smart Grid.