Browsing by Author "Rafid, Mohammad Nokib Monsur"

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A Greener Approach to Harvest Energy using Piezo-Speed Breaker
(IEEE, 2019-04-04) Islam, Akib Jayed; Hamid, Mohammed Kaiser; Alam, Sadman Shahriar; Hasan, Md. Mahmudul; Hoque, Md Azizul; Rafid, Mohammad Nokib Monsur
At present, the need for power is paramount. To meet the current necessity of undisrupted power supply, researchers are working on different renewable and green energy sources. For powering up devices, it is required to make the wired connection either with batteries or with a grid line. However, the batteries are subjected to charging and maintenance which makes it difficult to charge it every now and then in conventional ways at locations such as busy roads and remote places. To solve this situation, energy harvesting technique using piezoelectric material can be used. This technique is mainly based on converting mechanical stress into electrical energy by means of low-frequency vibration using piezoelectric effect. In this paper, we have proposed an innovative way to harvest energy by piezoelectric effect in the roads using the vibratory motion of vehicles. There are several works that have been done on harvesting energy from piezoelectric material, but the limitation of this kind of source is a micro level of energy. Our motivation is to provide a circuitry using a boost converter to level up the output voltage and hence increase the efficiency. The circuit comprises of an electrochemical battery, an AC to DC rectifier, and a switchable DC to DC converter that controls the energy flow into the battery. A versatile control strategy for the DC to DC converter is utilized to persistently actualize the ideal power transfer hypothesis and exploit the power stored in the battery. Vibration energy generated by the movement of the vehicle can be converted into electrical energy by the piezo-speed breaker. As a consequence, this stored energy can be used to power up the roadside traffic signal and street lights. The prototype ensures a green energy source that will reduce power generation cost and the usage of fossil fuel.
Design and Development of a Low-Cost IoT based Environmental Pollution Monitoring System
(IEEE, 2019-01-31) Alam, Sadman Shahriar; Islam, Akib Jayed; Hasan, Md. Mahmudul; Rafid, Mohammad Nokib Monsur; Chakma, Nishako; Imtiaz, Md. Nafiz
Environment pollution is one of the foremost and crucial factors affecting lifestyles and health of human, living organisms, natural or built environment. This paper will provide a low cost environmental pollution monitoring system for monitoring the highly toxic gases like (CO2,CO,&CH4), sound pollution, temperature and dust measurements which is designed by observing users' requirement to distinguish and keep away from disclosure to air and noise pollutants. The system consists of multiple gas sensors, dust device, sound sensor and temperature sensor that are integrated into a single platform. This paper will present a brand new system that includes digital hardware for obtaining atmospheric data and software to analyze the results. The designed system can provide calibration of the sensors along with improving the optimization to preserve vitality which results in the improvement of the precision of sensor information. In addition to this, the system is connected to the web via Wi-Fi or customer's tablet or smartphone and can be interfaced to another device for the Internet of Things (IoT) based applications. This work makes an attempt to observe the quality of air and sound of a particular location and send this information to responsible people who will use this information to upgrade the standard of living of local people of that location, which is one of the first ideas about Smart City. The cost and effort of implementation is incredibly cheap and easy as the sensors and the microcontrollers are available in abundant. The online data storage system has extended the user friendly environment by modernizing all existing factors over a general server. The experimental results demonstrate the effectualness of this research work in terms of quick detection and real time response.