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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics
Abdus Sattar
Daffodil International University
Computer Science & IT Electrical & Electronics Engineering

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Deployment of e-services based contextual smart agro system using internet of things Abdus Sattar; Yeasin Arafat Shampod; Md. Tanjid Ahmed; Nasrin Akter; Arif Mahmud
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3255

Abstract

Climate change's effects are becoming more apparent, and farmers are bearing the brunt of the consequences. As a result, by 2050, food production is expected to decline by 18%. Therefore, the study's goal is to develop effective and well-organized roadmap for context-based smart agricultural systems using a pre-determined ICT framework. Following that, this study offers a four-level conceptual framework for an e-services-based smart agro system utilizing internet of things (IoT). Here, each level optimizes the IoT infrastructure to accept e-services based on contextual information supplied by the e-services. Furthermore, the proposed ICTization process intends to broaden the role of ICT technology development. Besides, the system's views decrease misunderstandings about technology, growth, and connectivity while also enhancing raw data, administration, and service synchronization. Farmers, agricultural officers, and network operators, for example, are all included in the proposed roadmap, which includes omnipresent farm treatment services. Precision farming, on the other hand, need new knowledge and innovation in order to achieve an integrated and comprehensive approach to technology.
Stock market prediction of Bangladesh using multivariate long short-term memory with sentiment identification Md. Ashraful Islam; Md. Rana Sikder; Sayed Mohammed Ishtiaq; Abdus Sattar
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5696-5706

Abstract

The prediction of stock market trends is a challenging task due to its dynamic and volatile nature. Research has shown that predicting the stock market, especially in developing nations like Bangladesh, is challenging due to the presence of multiple external factors in addition to technical ones. To address this, this study proposed a novel dataset that includes not only technical stock market data from 2014 to 2021, but also external factors such as news sentiment and other economic indicators like inflation, gross domestic product (GDP), exchange rate, interest rate, and current balance. The goal is to provide a comprehensive view of the Dhaka Stock Exchange (DSE), the largest stock market in Bangladesh. The main objective of this study is to predict the trend of DSE by taking into account both technical stock market data and relevant external factors, and to compare the predictions made with and without using external factors. The study utilized a multivariate long short-term memory (LSTM) neural network for the stock market trend prediction. The experimental results showed that the use of external factors improved the accuracy of the LSTM-based stock market trend predictions by approximately 24%.
Smart aquaculture system: internet of things-based contextual e-service for sustainable aquafarming Md Abdullah Al Rahib; Md Redwan Hussain; Md. Zubayer Chowdhury; Jarin Tias Meraj; Abdus Sattar
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.10029

Abstract

A creative and contextual e-service for aquaculture system is developed to handle threats that climate change poses to global ecology and sustainable aquaculture. Therefore,"ICTization framework model," is based on capacity, connectivity, and context across three layers—core, and management, and distribution— has served as the study's guide. These layers support elements of centralization, decentralization, and parallelization hence reduce misconceptions about infrastructure, development, and communication. It incorporates a four-tier conceptual framework for an e-service system based on the internet of things (IoT) that is aimed at appropriately collect and manage environmental data in real time. Each tier of the framework is further elaborated for e-services using contextual information with existing infrastructure preserved while improving synchronization of data, administration, and services. It is able to predict and respond to variations in the quality, temperature, and other vital parameters of the water. The architecture realizes aquaculture as a service by orchestrating all the stakeholders – farmers, researchers, and network operators. E-service based system shall include remote monitoring, automated feeding and water quality assessment in real-time which will significantly improve efficiency reduce cost and increase income. Moreover, improved resource efficiency and less ecological impact made possible through the proposed conceptual framework enables sustainable aquaculture practices.
Co-Authors Arif Mahmud Jarin Tias Meraj Md Abdullah Al Rahib Md Redwan Hussain Md. Ashraful Islam Md. Rana Sikder Md. Tanjid Ahmed Md. Zubayer Chowdhury Nasrin Akter Sayed Mohammed Ishtiaq Yeasin Arafat Shampod