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Angle-Based Localization and Security Enhancement in Optical Camera Communication
Md. Faisal Ahmed,Md. Shahjalal,Md. Morshed Alam,Yeong Min Jang 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
In this article, we have designed an optical camera communication-based system that monitor the temperature and status of the valve position in the factory environment. We have used an AM2302 temperature sensor to collect the temperature data from the surrounding and transmit as an optical signal using LED. The image sensor received the optical signal and retrieve data based on rolling shutter effect of the camera. Neural network based LED detection is perform to find exact position of the LED in image sensor. Before data decoding, the output signal is processed using the unique key to enhance the security protocol. The entire process is performed in Python 3.8 environment.
Demand based Reactive power compensation
Md Morshed Alam,Md Mainul Islam,Md Faisal Ahmad,Yeong Min Jang 한국통신학회 2019 한국통신학회 학술대회논문집 Vol.2019 No.11
Now-a-days the reactive demand response of power distribution networks (PDN) is increasing exponentially due to aggregation of reactive device in low voltage grid. The management of reactive power in PDN with huge number of distributed energy resource(DER) is very essential task in future power systems. This paper describes a method of compensating reactive power of smart grid basis on day demand response of residential area. One-day demand of residential area is estimated based on realistic data and used to design a Matlab/Simulink model. Considering of each phase, the voltage regulation, Real power flow and reactive power flow.is determined before and after applying the reactive power control method. This proposed method has been implemented and tested using residential demand data of a university area.
Deep Learning Based Optimal Energy Management Framework for Community Energy Storage System
Md. Morshed Alam,장영민 한국통신학회 2023 ICT Express Vol.9 No.3
This paper proposes a deep learning-based integrated framework for multiple cooperative households to achieve optimal energy distribution. The corresponding energy generation and consumption problems are formulated by a long short-term memory algorithm is combined with an optimization algorithm to produce an optimal solution. In this study, a PV-community energy storage system (CESS) integrated is considered where the scheduling decision of the CESS and utility grid can be subsequently achieved through formulated constraints. The test results demonstrate the efficacy and robustness of the proposed system that achieves superior performance on effective renewable energy usages of maximum 31.74% in a home environment.