Papers by md zannatul arif

Solar lanes and floating solar PV: New possibilities for source of energy generation in Bangladesh
2017 Innovations in Power and Advanced Computing Technologies (i-PACT), 2017
Renewable energy, is the vast source of potential for energy generation also have no negative imp... more Renewable energy, is the vast source of potential for energy generation also have no negative impact on the environment. Solar Energy is one of the vital sources of renewable energy which is mainly utilized by photovoltaic effect, deliberated as an eco-friendly energy source because of its enormous potential and sustainability. Moreover, it reduces the dependency on conventional fuel. To utilize the solar energy, typically require huge land for establishing the solar PV plant which is almost inaccessible for an over populated country like Bangladesh. But there is a huge coastal area as well as 57 major rivers will be effective for establishing floating solar PV plant. Such wide-open spaces are also available as highways in Bangladesh. By converting these highways into solar lanes and floating solar PV plants will open new possibilities for source of energy generation in Bangladesh. A thoroughly numerable study for implementing solar lanes and floating solar PV power plant in Bangladesh is accomplished by counting allowances like accessible surface area, solar panel efficiency, position of the panels, basic design etc., which gives an overall image of total electrical energy generation. The electricity generation by using these thoughts are optimized by studying theoretical and simulation data. So, it is the veritable time of replace our conventional solar based infrastructure with the modern concepts i.e. Solar lanes and Floating solar PV plants.

Journal of Advanced Engineering and Computation, 2020
The motive of the investigation is analyzing the categorization of fetal state code from the Card... more The motive of the investigation is analyzing the categorization of fetal state code from the Cardiographic data set based on decision tree method. Cardiotocography is one of the important tools for monitoring heart rate, and this technique is widely used worldwide. Cardiotocography is applied for diagnosing pregnancy and checking fetal heart rate state condition until before delivery. This classification is necessary to predict fetal heart rate situation which is belonging. In this paper, we are using three input attributes of training data set quoted by LB, AC, and FM to categorize as normal, suspect or pathological where NSPF variable is used as a response variable. After drawing necessary analysis into three variables we get the 19 nodes of classification tree and also we have measured every single node according to statistic, criterion, weights, and values. The Cardiotocography Dataset applied in this study is received from UCI Machine Learning Repository. The dataset contains 2...
Numerical Analysis of Cs2 TiBr6 Perovskite Solar Cell Using ETL-CdS and HTL-CuI Materials
2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
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Papers by md zannatul arif