Browsing by Author "Anika, Afsana Mim"

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Evaluation of AI in Education
(Daffodil International University, 23-01-18) Anika, Afsana Mim
International Artificial Intelligence in Education Society is a multidisciplinary organization at the forefront of computer science, education, and psychology (IAIED). It encourages thorough investigation and the creation of engaging learning environments for students of all ages and expertise levels. We examined 35 papers from the Journal of AIED's thirteen-year publication history from 2010–2022, in order to identify the focus areas and typical conditions that define the subject of AIED. After reviewing those 35 publications I have noticed that the effects of AI in educational sectors has been shown differently in almost every paper. So depending on those work, I have come to propose an application which can help student, teacher and educational institution at a time.
Gas Leakage with Auto Ventilation and Smart Management System Using IOT
(International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12) Anika, Afsana Mim; Akter, Ms. Nasrin; Hasan, Md. Niamul; Shoma, Jannatul Ferdous; Sattar, Abdus
In the evolving smart home architectures, the issue of gas spillage and fire is still remaining as a significant hindrance for designing a comprehensive, safe and sustainable kitchen model. On the other hand, security has also been significant challenge in this digital era. In urban areas, most of the kitchens are very small and it doesn't contain proper ventilation system. In such case, Spillage of gas increases the risk of fire accident, suffocation or a blast. To eradicate this challenge, smart management system viz. gas leakage detection and fire detection system should be developed. In this paper, Arduino UNO microcontroller was utilized to build a smart gas detection system with many usable sensors (MQ2, IR Fire Sensor) and actuators (air fan, buzzer). When gas spillage is recognized, the client will be intimated through SMS and at the same time they will receive notification via blynk application. The proposed system can detect fire, gas leakage and it also has the ability to take further steps and decrease gas concentration via auto air ventilation and extinguish fire with water. The proposed method will help to improve the safety and reduce the death toll and reduce the damages that occur to the surrounding environment.
Gas Leakage with Auto Ventilation and Smart Management System Using IoT
(IEEE, 2021-04-12) Anika, Afsana Mim; Akter, Ms. Nasrin; Hasan, Md. Niamul; Shoma, Jannatul Ferdous; Sattar, Abdus
In the evolving smart home architectures, the issue of gas spillage and fire is still remaining as a significant hindrance for designing a comprehensive, safe and sustainable kitchen model. On the other hand, security has also been significant challenge in this digital era. In urban areas, most of the kitchens are very small and it doesn't contain proper ventilation system. In such case, Spillage of gas increases the risk of fire accident, suffocation or a blast. To eradicate this challenge, smart management system viz. gas leakage detection and fire detection system should be developed. In this paper, Arduino UNO microcontroller was utilized to build a smart gas detection system with many usable sensors (MQ2, IR Fire Sensor) and actuators (air fan, buzzer). When gas spillage is recognized, the client will be intimated through SMS and at the same time they will receive notification via blynk application. The proposed system can detect fire, gas leakage and it also has the ability to take further steps and decrease gas concentration via auto air ventilation and extinguish fire with water. The proposed method will help to improve the safety and reduce the death toll and reduce the damages that occur to the surrounding environment.