Browsing by Author "Dr. K. M. A. Salam"

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    Covid-19 detection from X-Ray images using deep learning methods with a web app
    (North South University, 2022) Saadman Sakib; Nafisa Hassan; Sifat Anwar; Dr. K. M. A. Salam; 1632440042; 1912043642; 1812887642
    The World Health Organization (WHO) classified COVID-19 a global epidemic in 2019. COVID-19 is caused by SARS-CoV-2, also known as the severe acute respiratory syndrome coronavirus-2, which was found in China in late December 2019. The entire planet had been affected within a few months. COVID-19 has infected millions of individuals all over the world, making it a global health issue. The disease is usually contagious, and those who are infected can readily transfer it to others. As a result, monitoring is an effective way to stop the virus from spreading. Another condition caused by a virus linked to COVID-19 is pneumonia. The severity of pneumonia can range from minor to life-threatening. This is especially harmful for children, the elderly, and individuals with health problems or impaired immune systems. We employed deep transfer learning to classify COVID-19 and pneumonia in this experiment. Because there has been so much research on this subject, the suggested strategy focuses on enhancing accuracy and employs both a transfer learning methodology and a custom-made model. Different pretrained deep convolutional neural network (CNN) models were used to extract deep features. Classification accuracy was used to evaluate performance to a considerable extent. According to the findings of this study, deep transfer learning can detect COVID-19 and pneumonia from CXR images. VGG-16 was 94 percent accurate in pretrained custom models, InceptionV3 was 96 percent accurate, ResNet50 threshold was 83 percent accurate, and Xception was 92.82 percent accurate. All of these models are correct, however InceptionV3 is the most accurate one for detection of Covid-19. A lightweight python framework, Flask is used to incorporate our algorithm and build our entire web application and it may be widely applicable in health sector. The information is then extracted and the results of Covid-19 detection are displayed.
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    Open Access
    Implementation of a Multivendor E-commerce Website
    (North South University, 2020-12-31) Safwan Hossain Bokaul; Akiba Mehzaveen Mon; Rakib Hasan; Dr. K. M. A. Salam; 1610027042; 1511938642; 1611083043
    Electronic commerce or e-commerce refers to a wide range of online business activities for products and services. E-commerce website is a vital platform nowadays for online businesses. In this era of internet e-commerce is growing at a high rate keeping the growth of online businesses. Still the proliferation of an e-commerce website in the under developed world is not that great and there is a lot to desire for. This report outlines different aspects of developing an e-commerce website and the optimal solution to the challenges involved in the developing one and also why we are developing a new e-commerce website because there exists some good e-commerce websites around us. The one thing will make an e-commerce platform effective when it will have some unique features in it and in this report you will be able to know about the unique features such as selling used products, exchange products, products on demand, delivery man option of the website clearly and the motivation and also the goals behind the work. The main advantage of an e-commerce platform over traditional commerce is the users can browse a great range of shops or products in online, compare prices and order merchandise sitting at home using their personal computer or mobile phone. The entire development is primarily divided into two parts- the front-end development and the back-end development. The database design is also discussed with an emphasis on its relational connectivity.
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    The future of industrial protection and monitoring automation system in the Era of the Internet of Things
    (North South University, 2019-04-30) Sabbir Hassan Suvo; Washim Sarker Shuvo; Fahim Hossain Talukdar; Md. Nahid Enam; Dr. K. M. A. Salam; 1512421643; 1511540643; 1420925043; 1320536043
    In the 4th industrial revolution, automation of industry is increasing day by day. For connecting with automation Internet of things (IoT) is a new technological revolutionary name. IoT is playing a massive role in this era to monitor industry properly and also for quick protection automatically. The key idea of our project is to protect the industry from quick damage and also warning the user by ioT server. Besides, it will also prevent the resources and people’s life from unwanted damages. This was also our another priority to make people’s life more secure who works in those industries. In this project, we used thingspeak built in iot server. When sensor can detect any problem, our Arduino Uno microcontroller will upload the data to the server through wi-fi and server will show the warning update of that sensor automatically. With this our another output will go into 20*4 Lcd display which will show the update of 4 sensord continuously. The system was designed in such a way so that it can take care need of industry and give industries protection system a new life
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    Open Access
    Underground Water Reservoir Pump Control Module
    (North South University, 2020-12-31) Gazi M Najmus Sakib; MD.Anik Hasan; MD Belal Uddin; Dr. K. M. A. Salam; 1331347643; 1331042043; 1430878643
    Water is one of the basic daily commodities every human needs to survive. Though 4/3rd of the Earth surface contains water, drinkable water is not available to use that easily. In mainland water is sourced from deep underground sources and rivers by government, which then goes through filtering and treatment processes, and finally fed to the industries and houses through feeding pipe network. In modern cities this water supply is completely taken care by the govt. but in some backward cities or unplanned zones, the citizens need to put their own effort as well. If we talk about our city Dhaka, WASA takes care of the water supply. Their feed network has continuous stable water supply with perfect pressure which fills the residential underground tanks without any human effort. But in some areas, water supply is not stable and the house owners need to use their own pump to pull the water with additional force from the supply line. This extra effort creates a number of problems which we are going to solve with our project This project operates a pump’s turn on and off action based on several external conditions. These conditions are measured using several sensors like tank water level, supply water availability, supply water quality and pressure. The heart of the device is Arduino UNO which uses ATmega328P microcontroller which measures all the sensor data and provides output to the pump operating relay according to the program inserted. A major specification is that, this device can be run all by itself as well as can be operated remotely by the user far away from the home with the help of GSM connectivity. The design is implemented using locally available parts and tools, the goal and cost of the device was set according to the general user’s necessity and cost ability. If successful, this device will make a lot of house owner’s life easy and hassle free, also will increase the efficiency of water and electricity usage due to reduction of waste.