Browsing by Author "Khan, Md. Imran"

Now showing 1 - 3 of 3

IOT Based Real Time Fire Prohibiting System Using Google Map, Firmap
(Daffodil International University, 2018-05) Musaddik, Nayem; Taohid, Md. Afratul Kaoser; Khan, Md. Imran
The purpose of the system is to build an improved fire alarm mechanism that will alert the Firefighter authority automatically with the real time location of the incident and show them the shortest path on the map to reach there. There will also be a home user’s end to confirm the fatality of the risks via a smartphone application. The main feature of the project is to automatically alert and guide the firefighter to the fire incident location as it detects fire. Mainly two categories of users will be notified if any occurrence happens, one is the firefighter authority and another is the home users. With the help of Smoke Sensor, Flame sensor and Temperature Sensor smoke, fire and temperature data will be collected and using Arduino Uno R3 and ESP-8266 Wi-Fi Module the collected data will be sent to a smart phone application via real time firebase database. Thus the both of the users will be alerted. To avoid any false alarm there will also be options for Fire Service authority to contact the users of the incident’s location to know the intensity of the fire and the damage percentage. Home users can also take photo of the incident and manually notify the firefighter authority via the smart phone application. The advantage of the system is that it will help the firefighter authority to locate and act quickly for any fire occurrence by knowing the real-time location and shortest path of the place and by the final confirmation from the home users they can avoid false alerts.
Modelling of the effect of motion blur on pixelated communication systems
(Institute of Information and Communication Technology, 2019-04-13) Khan, Md. Imran; Mondal, Dr. Md. Rubaiyat Hossain
Optical wireless communication (OWC) is becoming popular nowadays due to high data rate and more security features than the radio frequency (RF) communication. One of the major branches of OWC is optical camera communication (OCC) which can be categorized into visible light communication (VLC) and pixelated communication. The screen of a digital gadget like smartphones/tablets/laptops is used as transmitter and camera of any of those digital gadgets is used as receiver to transfer images in pixelated OWC. A pixelated system is susceptible to different spatial impairments such as motion blur, defocus blur, rotational misalignment and perspective distortion. This thesisanalyses the impact of motion blur in the context of pixelated systems for the first time and also finds the combined impact of all spatial impairments mathematically. At first the effect of stand-alone motion blur is derived and it is found that the impact of motion blur depends on motion length and subcarrier index. Next, the joint impacts of defocus and motion blur are modeled which show that the impact of both blurs are independent to each other and the attenuation due to defocus blur depends on point spread function (PSF) of defocus blur and subcarrier index. Finally the combined effect of all the impairments are modeled which indicate that the impact of each impairment does not depend on others and the combined effect is the joint attenuation due to motion blur, defocus blur, linear fractional misalignment (LFM), and vignetting. On the other hand, the performance of non-DC biased optical OFDM (NDC-OFDM) and LED index modulation optical OFDM (LIM-OFDM) areevaluated and compared with different forms of spatial orthogonal frequency division multiplexing (spatial OFDM) including spatial DC biased optical OFDM (SDCO-OFDM), spatial asymmetrically clipped optical OFDM (SACO-OFDM) and spatial asymmetrically clipped DC biased optical OFDM (SADO-OFDM) for both VLC and pixelated OWC systems to find out the best candidate in terms of electrical and optical power efficiency. Simulation results show that without the presence of impairments, SLIM shows better optical power efficiency than SNDC when only AWGN is present. On the other hand, SNDC performs better than SLIM, SACO and SDCO when channel is modeled with different spatial impairments like motion blur, linear fractional misalignment, vignetting along with channel noise. Practical experiments are also conducted for SDCO-OFDM modulation to realize the practical impact of these impairments and some techniques are followed to reduce the impact from practically impaired received images.
Smart measurement of water quality parameters and monitoring fish health
(BRAC University, 2021-05) Talukder, Ali Ahmed Rezvee; Iqbal, Syed Wasi; Shakil, Mohammad; Khan, Md. Imran; Bhuian, Mohammed Belal Hossain
Every aspect of our daily lives is becoming more reliant on technology as it advances. Smart data measurement (smart data is information from which signals and designs have been extracted by using algorithms) is currently a critical feature in a variety of industries, including industrial, medical, aquaculture, and agriculture. Ammonia, pH, temperature, water level, dissolved minerals, and other water quality parameters are critical for aquaculture. We have used various sensors which are utilized to monitor water quality, and the information gathered will allow farmers to monitor fish health and take appropriate action. This smart measurement of parameters will reduce the labor and waste of water in aquaculture and also increase the productivity by a large quantity specially done on Biofloc. We have seen that people in Bangladesh are gradually moving towards Biofloc aquaculture. They have started this system by trial-and-error process which is generally lengthy, time consuming and waste. In our paper we tried to construct a system which will provide them with a proper set of date and allow to keep the water quality parameters at its optimum range. This will ensure more effective and hassle-free aquaculture and increase fish productivity by taking necessary steps if any parameter changes.