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Ahmad Zainudin,Adinda Riztia Putri,Goodness Oluchi Anyanwu,Cosmas Ifeanyi Nwakanma,Dong-Seong Kim,Jae-Min Lee 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
In this paper, we proposed a hybrid-Long Short-Term Memory (LSTM) deep learning algorithm for thermal sensor-based Human Activity Recognition (HAR). Edge computing is characterized with Deep Learning (DL) computational capability as well as real-time response which is a requirement for non-intrusive HAR application. Applying DL on edge devices is more challenging due to the limited computational capability. Hence, a low-cost computational CNN-LSTM model is proposed in this work. Based on the simulation results, the proposed approach achieved a computational time of 0.5543 ms. which outperforms other algorithms.
Ahmad Zainudin,Dong-Seong Kim,Jae-Min Lee 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
Software-Defined Networking (SDN) is a promising platform for Industrial Internet of Things (IIoT) networks that provide flexibility, reliability, and efficiency. SDN-based IIoT networks have a centralized controller that is a single vulnerable target to attack. In this paper, a lightweight Distributed Denial-of-Service (DDoS) detection and classification based on network features is proposed using an improved CNN-LSTM and tested with the latest CICDDoS2019 dataset. The proposed model achieves a low computation time which enables the delay constraint industrial network with a DDoS detection rate above 99.02% and a computation time of 0.14 ms.
Fathiyyah Mohd Zainudin,Hassimi Abu Hasan,Siti Rozaimah Sheikh Abdullah 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.57 No.-
In developing countries such as Malaysia, chlorination is a popular and inexpensive technique fordisinfecting water before distribution to consumers. However, the chlorination process results in theformation of low concentrations of toxic trihalomethanes (THMs), which may, over long periods ofexposure, lead to adverse effects in consumers. Thus, these compounds should be prevented fromforming and removed from drinking water and wastewater through either physicochemical or biologicaltechniques. In this paper, an overview of the various technologies for the removal of THM precursors andTHMs is presented. In addition, emerging technology using microbes to effectively biodegrade THMs isalso discussed. Biodegradation technology has the potential to eliminate THM precursors and THMs fromwater and wastewater and has the advantages of being a green technology and being inexpensive tooperate and maintain compared with other physicochemical techniques.