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Distributed Incremental Approximate Frequent Itemset Mining Using MapReduce
Mohsin Shaikh,Irfan Ali Tunio,Syed Muhammad Shehram Shah,Fareesa Khan Sohu,Abdul Aziz,Ahmad Ali International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.5
Traditional methods for datamining typically assume that the data is small, centralized, memory resident and static. But this assumption is no longer acceptable, because datasets are growing very fast hence becoming huge from time to time. There is fast growing need to manage data with efficient mining algorithms. In such a scenario it is inevitable to carry out data mining in a distributed environment and Frequent Itemset Mining (FIM) is no exception. Thus, the need of an efficient incremental mining algorithm arises. We propose the Distributed Incremental Approximate Frequent Itemset Mining (DIAFIM) which is an incremental FIM algorithm and works on the distributed parallel MapReduce environment. The key contribution of this research is devising an incremental mining algorithm that works on the distributed parallel MapReduce environment.
Ali, Mohsin,Nam, Haewoon IET 2017 IET COMMUNICATIONS Vol.11 No.16
<P>This study presents the trade-off between probability of spectrum hole utilisation (PSHU) and sensing time duration of secondary user (SU) in cognitive radio networks. On the basis of the analytical formulations of PSHU, it is shown that there exist an optimal sensing time duration and the optimal length of time frame for a given mean idle time of primary user (PU). Unlike the existing works, a frame structure of SUs with a fixed length of time frames is considered. The effect of both sensing and transmission time of SUs over PSHU is considered simultaneously. As increasing sensing time duration to improve the probability of detection for PU's presence or absence leads to a reduction in transmission time, which may further decrease PSHU. The numerical and simulation results show that using the optimal sensing time duration (which leads toward the optimal reduction in transmission time) and the optimal length of time frame provides the maximum PSHU.</P>
Mohsin Ali,Hee-Dong Kim(김희동) 대한전자공학회 2024 대한전자공학회 학술대회 Vol.2024 No.6
To address the low on/off ratio and stability concerns of ZnO based RRAM, We proposed a ZnO/HfO₂ bilayer to investigate the effects of the thickness on RRAM. Due to the change in the thickness of ZnO/HfO₂ bilayer, the length of Conduction filament varies that leads to improve on/off ratio of the devices and its stable endurance and retention without any degradation.
Badshah, Mohsin Ali,Ju, Jonghyun,Lu, Xun,Abbas, Naseem,Kim, Seok-min Elsevier 2018 Sensors and actuators. B Chemical Vol.274 No.-
<P><B>Abstract</B></P> <P>Metal-enhanced fluorescence (MEF) has significant potential to increase the sensitivity of fluorescence detection by allowing fluorophores to interact with enhanced electromagnetic fields generated by the localized surface plasmon resonance effects of metallic nanostructures. In this study, the MEF of silver (Ag) vertical nanorods (VNR) arrays fabricated by glancing angle deposition were studied for a DNA microarray. To maximize the enhancement effect of Ag-VNR, Ag-VNR arrays with various lengths were fabricated, and fluorescence signals from the Ag-VNR substrates were measured and compared to glass and commercial Amine slides (Amine 2®, Array-it, USA). For the fluorescence signal measurement, Cy5-conjugated Kallikrein-related peptidase 7 (KLK-7-Cy5) DNA probes were spotted on each substrate, and their fluorescence signal was measured after blocking and washing processes. A maximum enhancement factor 200× that of the glass substrate was obtained from a Ag-VNR with 500 nm length and was 36 times greater than the commercial Amine slide.</P> <P><B>Highlights</B></P> <P> <UL> <LI> GLAD is simple and effective technique for fabricating large area substrates. </LI> <LI> Significant fluorescence enhancement was observed on vertical nanorod substrates. </LI> <LI> A maximum enhancement factor of ∼200X was achieved on 500 nm long nanorods substrate. </LI> </UL> </P>