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RISS 인기검색어
- 검색키워드
- 저자 : Mohammad Shariful Islam (검색결과 5 건)
- 무료
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Comparative Analysis of Wind Power Energy Potential at Two Coastal Locations in Bangladesh
Asif Islam,Mohammad Mahmudur Rahman,Mohammad Shariful Islam,Satya Sundar Bhattacharya,김기현 한국대기환경학회 2015 Asian Journal of Atmospheric Environment (AJAE) Vol.9 No.4
In this study, wind conditions and its energy potential have been assessed by conducting a Weibull analysis of the wind speed data (over the period of 2002-2011) measured from a port city (Mongla) and an isolated island (Sandwip) in Bangladesh. The monthly mean wind speed at Mongla ranged from 1.60 m/s (December) to 2.47 m/s (April). The monthly values of Weibull shape parameter (k) were from 1.27 to 2.53. In addition, the values of the scale parameter (c) and the monthly wind power density ranged from 1.76 to 2.79 m/s and 3.95 to 17.45 W/ m2, respectively. The seasonal mean wind speed data varied from 1.72 (fall) to 2.29 m/s (spring) with the wind power density from 5.33 (fall) to 14.26 W/ m2 (spring). In the case of Sandwip, the results were comparable to those of Mongla, but moderate reductions in all the comparable variables were observed. The wind data results of these two areas have been compared with those of eight other locations in the world with respect to wind power generation scale. According to this comparison, the wind power generation scale for Mongla and Sandwip was adequate for stand-alone small/micro-scale applications such as local household consumption, solar-wind hybrid irrigation pumps, and battery charging.
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Md. Rashed-Al-Mahfuz,Mohammad Ali Moni,Pietro Lio’,Sheikh Mohammed Shariful Islam,Shlomo Berkovsky,Matloob Khushi,Julian M. W. Quinn 대한의용생체공학회 2021 Biomedical Engineering Letters (BMEL) Vol.11 No.2
Medical practitioners need to understand the critical features of ECG beats to diagnose and identify cardiovascular conditionsaccurately. This would be greatly facilitated by identifying the signifi cant features of frequency components in temporalECG wave-forms using computational methods. In this study, we have proposed a novel ECG beat classifi er based ona customized VGG16-based Convolution Neural Network (CNN) that uses the time-frequency representation of temporalECG, and a method to identify the contribution of interpretable ECG frequencies when classifying based on the SHapleyAdditive exPlanations (SHAP) values. We applied our model to the MIT-BIH arrhythmia dataset to classify the ECG beatsand to characterise of the beats frequencies. This model was evaluated with two advanced time-frequency analysis methods. Our results indicated that for 2-4 classes our proposed model achieves a classifi cation accuracy of 100% and for 5 classes itachieves a classifi cation accuracy of 99.90%. We have also tested the proposed model using premature ventricular contractionbeats from the American Heart Association (AHA) database and normal beats from Lobachevsky University Electrocardiographydatabase (LUDB) and obtained a classifi cation accuracy of 99.91% for the 5-classes case. In addition, SHAP valueincreased the interpretability of the ECG frequency features. Thus, this model could be applicable to the automation of thecardiovascular diagnosis system and could be used by clinicians.
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M.A. Hasnat,Jamil A. Safwan,M. Shariful Islam,Zidnia Rahman,Mohammad Razaul Karim,Talha J. Pirzada,Ahmed Jalal Samed,Mohammed M. Rahman 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1
Electrochemical decolorization of Methylene blue (MB) molecules was studied at Pt electrode inpresence of KNO3 and KCl as the supporting electrolytes under acidic condition. The KNO3 electrolytedisplayed MB decolorization effect, where MB molecules exhibited two redox peaks at 0.48 V and0.34 V, respectively, in cyclic voltammogram (CV). The features of redox couples indicated thedimerization ofMBmolecules. In this simple preparation technique, a less amount of sample loading wasrequired, and the method displayed high efficiency toward decolorization of MB dye. This reportindicates the possibility for improving the quality of wastewater discharged from textile and otherindustries.
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Ferdous, Nadim,Reza, Mahjerin Nasrin,Emon, Md. Tabassum Hossain,Islam, Md. Shariful,Mohiuddin, A.K.M.,Hossain, Mohammad Uzzal Korea Genome Organization 2020 Genomics & informatics Vol.18 No.3
Streptomyces coelicolor is a gram-positive soil bacterium which is well known for the production of several antibiotics used in various biotechnological applications. But numerous proteins from its genome are considered hypothetical proteins. Therefore, the present study aimed to reveal the functions of a hypothetical protein from the genome of S. coelicolor. Several bioinformatics tools were employed to predict the structure and function of this protein. Sequence similarity was searched through the available bioinformatics databases to find out the homologous protein. The secondary and tertiary structure were predicted and further validated with quality assessment tools. Furthermore, the active site and the interacting proteins were also explored with the utilization of CASTp and STRING server. The hypothetical protein showed the important biological activity having with two functional domain including POD-like_MBL-fold and rhodanese homology domain. The functional annotation exposed that the selected hypothetical protein could show the hydrolase activity. Furthermore, protein-protein interactions of selected hypothetical protein revealed several functional partners those have the significant role for the bacterial survival. At last, the current study depicts that the annotated hypothetical protein is linked with hydrolase activity which might be of great interest to the further research in bacterial genetics.
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Hypothetical protein predicted to be tumor suppressor: a protein functional analysis
Kader, Md. Abdul,Ahammed, Akash,Khan, Md. Sharif,Ashik, Sheikh Abdullah Al,Islam, Md. Shariful,Hossain, Mohammad Uzzal Korea Genome Organization 2022 Genomics & informatics Vol.20 No.1
Litorilituus sediminis is a Gram-negative, aerobic, novel bacterium under the family of Colwelliaceae, has a stunning hypothetical protein containing domain called von Hippel-Lindau that has significant tumor suppressor activity. Therefore, this study was designed to elucidate the structure and function of the biologically important hypothetical protein EMK97_00595 (QBG34344.1) using several bioinformatics tools. The functional annotation exposed that the hypothetical protein is an extracellular secretory soluble signal peptide and contains the von Hippel-Lindau (VHL; VHL beta) domain that has a significant role in tumor suppression. This domain is conserved throughout evolution, as its homologs are available in various types of the organism like mammals, insects, and nematode. The gene product of VHL has a critical regulatory activity in the ubiquitous oxygen-sensing pathway. This domain has a significant role in inhibiting cell proliferation, angiogenesis progression, kidney cancer, breast cancer, and colon cancer. At last, the current study depicts that the annotated hypothetical protein is linked with tumor suppressor activity which might be of great interest to future research in the higher organism.
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