NSU INSTITUTIONAL REPOSITORY
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Recent Submissions
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Open Access
A Review of Harvesting Energy from Human Body Using Piezoelectric Nanogenerator and its Application
(North South University, 2021) Tanjim Faruque; Musannan Hossian; Naaz Afreen Khan; Zunayeed Bin Zahir; 1631742645; 1712396043; 1620034043
This study demonstrates the use of piezoelectric nanogenerators in order to harvest energy from the human body. In recent years, there has been an increasing demand for low-power and portable-energy sources because of the growth and common use of portable electronic devices. Energy harvesting raises the possibility of self-powered systems which are fully autonomous that don't need human interference for energy replenishment. Mechanical energies are an attractive ambient energy source among the ambient energy sources such as solar energy, heat, and wind because they are readily available and suitable for the use of piezoelectric materials, which can transform mechanical strain energy into electrical energy. Humans produce significant amounts of mechanical energy doing everyday tasks which is usually dissipated into the atmosphere. Piezoelectric nanogenerator can convert the mechanical energy into electrical energy. The idea of absorbing the energy surrounding an electronic system and transforming it into usable electrical energy that could extend the life of the power source or provide an unending supply of energy has piqued the interest of many researchers, and power harvesting has received a lot of attention. The usage of piezoelectric materials is one approach of getting the energy surrounding a system. The capacity to exchange electrical and mechanical energy is unique to piezoelectric materials. These findings also show that this efficient, lightweight, and low-cost energy harvester may be used as a power source for microelectronics in wearable devices. Piezoelectric energy harvesting has grown significantly since 2006. This paper updates the authors previous review paper by highlighting significant advancements in the field of piezoelectric energy harvesting over the last decade.
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Open Access
Online Counseling Management System
(North South University, 2019) BARUN ROY; WAHEED UDDIN AHMED; ASIF MAHMUD; Shazzad Hosain; 1521257042; 1520063042; 1511190642
Information System has become an important aspect for any developing business in recent years. As the growing business needs to have accurate information and necessary technology for solving problems and to catch up with ever growing customer needs, Information System Technology has been a key force for organizations to determine their business criteria. Businesses today use information system and use the available technologies because they understand the importance of maintaining and updating data electronically.
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Open Access
Telehealth: Smart Health Care for Pregnant Women
(North South University, 2018) Md.Ariful Islam Sourov; Farhan Tanvir; Probal Sutradhar; Tanzilur Rahman; 1420593042; 1420511042; 1411781042
In this modern age everything is being digitalized day by day. But for pregnant women it is not that advanced. Because they have to go to hospitals or doctors at a regular basis. So we want to make a system that will help pregnant women to do regular checkup without going anywhere and anyone’s help. Pregnant women always need to check their glucose level and pulse. But it is hard for them to go and check their glucose level and pulse to the doctors or hospitals. Present blood sugar level measurement techniques can measure their glucose level but they have to write it down for future treatment. We will built a application on an Android smart phone connected to a Bluetooth-enabled blood glucose meter and save the information on the cloud server for further treatment. We will built a software for both patients and doctors to see their glucose level from the cloud. Calculations on the server track the patterns in the GL readings and the diabetes birthing assistants are naturally informed if their patients have various readings outside the objective zone.
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Restricted
Evaluation of Bashundhra Residential Area’s Rooftop Solar Panel: A Supply and Demand Approach
(North South University, 2019-12-31) Sadia Afrin Popy; Dr. Hassan Mahmud; 1121070027
In Bangladesh most electricity is produced using fossil fuels, creating air emissions polluting environment. Use of solar energy to produce electricity would reduce this pollution. Government of Bangladesh has made it prerequisite for building owner to install solar panel on the rooftop to cover at least 2% to 10% of total energy use to receive electric connection from the grid. However, there are not enough data available to verify if the building owners have fulfilled this government requirement. The aim of this research is to evaluate the present status of the rooftop solar panel use in Bashudhara Residential Area. The research was through literature review, questionnaire survey and open-ended interviews conducted to generate data on buildings in Bashundhara Residential Area of Dhaka city as well as through interviews of three solar power supply companies working in Bangladesh.50 buildings were visited, however, only complete data was received from 40 buildings. The result shows that out of these 40 buildings, 17% did not install solar panels. The rest of buildings had installed solar panels, but only 42% was in operation and 41% had used the panels as show piece just to get the electric connection and never was used. It was observed that there is no interested to maintain nonfunctioning solar panel because of the high cost. In Bashundhara residential buildings, 65% of total solar energy produced is used for lighting common areas like basement and ground floor, 33% is used in stairs lights, 2% is used in other purposes like during load shading.
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Open Access
Real Time Safety Measurement Protocol System for Construction Sites Using Machine Learning in Bangladesh
(North South University, 2022) Tanjila Islam; Tanzila Islam; Sourav Biswas; Md. Abir Ahmed; Shuvo Bhowmick; Shahnewaz Siddique; 1811017042; 1811027042; 1721288642; 1722322042; 1632409042
Safety in the construction industry is one of the main concerns in Bangladesh. It is one of the most unpredictable and danger-filled industry sectors. Most developed countries endeavor to reduce the tragic damages and losses resulting from construction accidents by preventing, eliminating, and bypassing the probable occurrences. Unfortunately, Bangladesh is one of the countries most at risk of construction accidents because they lack a robust safety system. Both authorities and employees do not have a clear understanding of construction safety. Safety negligence tends to cause most accidents. Thousands of Bangladeshi workers are injured or die from accidents on construction sites every year. Lack of training and knowledge about the equipment are the top five causes of these misfortunes, followed by lack of personal protective equipment, lack of safety eliminating/avoiding design, unfit equipment, and a lack of knowledge about the equipment. [1] The last decade has seen numerous studies conducted to introduce effective protection systems within the construction industry using machine learning and computer vision. To achieve this goal, in this study we proposed a model to actively monitoring the proper wearing of Safety Equipment (hard-hat, gloves, face masks, vests, harnesses and boots) of the construction workers in real-time. Based on the results of experimental tests, the model proved to have 86.93% mean average precision, which was effective for identifying safety equipment correctly. In combination with YOLOv4 and Darknet, these pieces of equipment can be registered and classified simultaneously. In future, we want to develop a system that monitors the wear of safety equipment to determine if workers are wearing it properly based on our model. Workers will not be able to access certain construction areas if one of these pieces of equipment is missing
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Open Access
Quantification of national plastic flow in Bangladesh: A material flow perspective
(North South University, 2019) Sabrina Zaman; Mohammad Sujauddin; 1715416676
After the bronze and iron ages the present period can be named as plastic age and marked as the beginning of the Anthropocene. Human affection for plastics has resulted in diversified and ever increasing use of the material however its end of life consequences to human economy and natural environment are little understood particularly in developing countries. In recent past, the plastics industry has emerged as a prominent manufacturing sector in Bangladesh that necessitates formulating sustainable plastics management policy and monitoring. In this study, national plastics flows for Bangladesh have been investigated and quantified using material flow analysis for 2005, 2010 and 2015 to represent years of lowest, stable and highest import respectively. From 2000 to 2015 the total import increased almost three times (1328, 067). Plastics raw materials persisted as the dominant (88 %) category of which HDPE, LDPE, PP, PVC, PET are the major primary forms. In 2015 around 1.5 million tonnes of plastics were manufactured whereas about 1.4 million tonnes of plastic products were consumed contrary to around 579,505 tonnes in 2005. More than half of this consumed amount bestowed to increase in net stock which resulted in generation of 417,597 tonnes of post-consumer plastic waste from diversified consumption sectors. Roughly half of the total waste was recycled in 2015 which was double the recycled amount (136,382 tonnes) of 2005 resulting in a saving of import of virgin plastics. Prevailing poor waste disposal and management practices cause a loss of 136,749 tonnes of plastics in 2015. Lack of data has one of the major challenges for conducting this study. The study relied mostly on import/ export data from international sources since there is no domestic reliable time series data on plastics consumption, waste generation and loss. In Bangladesh the plastic sector lacks the attention from a regulatory and environmental perspective and therefore it has no specific policy guideline particularly on plastics management. It is high time for Bangladesh to formulate a plastic waste management and regulatory strategy to address the issues of environmental sustainability.
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Open Access
"“Bindu” the Fire Fighter Robot- A Human Rescuer Robot BOT with Real time Human Detection ML technique"
(North South University, 2019) Farzana Islam; Banobir Biswas Sweet; Md. Nawas Sharif; Rakibol Islam Rakib; Nova Ahmed; 1220977042; 1511168042; 1511518042; 1512420043
Fire incident is very common nowadays in Bangladesh. Firefighters are also faced difficulties, particularly if fire occurs in narrow and restricted places. Therefore, this project presents the development of an intelligent human rescuer firefighting robot named Bindu that can be operated from remote area. Bindu is designed in such manner which is small in size and can go into narrower places. Bindu is also equipped with a flame sensor is attached for fire detection. Additionally, Machine Learning AI technology is emerged into it for real time human detection. Firefighters can see the view of the fire place through live video streaming with the indication of human if occupied; also, the information required with that place will be shown to take necessary steps to rescue the human.
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Open Access
24/7 Islamic Support by Web Technology
(North South University, 2020) Md. Rakibul Hasan; A.K.M. Kibria Hasan; Md. Ishraf Fatemi; Mohammad Ashrafuzzaman Khan; 1620408042; 1621231042; 1621357042
We built a project that will help Muslims to get all answers quickly and correctly. That’s why the name of our project is “24/7 Islamic Support by Web Technology”. On this website people will go and ask their questions along with their topic. Alems will be there for 24/7. The questions can be answered by both Alems and other users. Admins along with alems will be there to check the authenticity of the answer. There will be two categories of questions. One is public and another is private. In the public category, questions can be answered by both alems and users. And in the private category, questions will be only answered by alems. This will be in the premium category. We ensure security and maintain the privacy of our users. Users can also hide their credentials if they want.
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Open Access
Multi-Disease Prediction Website and Android Application Using Explainable Machine Learning and Deep learning Techniques
(North South University, 2022) Abu Tareq; Abdullah Al Mahfug; Mohammad Imtiaz Faisa; Tanvir Al Mahmud; Dr. Riasat Khan; 1821780642; 1821861642; 1821812642; 1813564042
As the world advances towards a more computerized future, disruptive technologies are arriving at a pace second to no other innovation in history. The rise of computer vision and artificial intelligence techniques empowered innovations in the healthcare sector, which are helping to save lives, detect diseases, and extend life expectancy. This paper uses machine learning and deep learning techniques that fall into supervised learning to detect five diseases, e.g., diabetes, coronavirus, cardiac disorder, liver illness, and chronic kidney disease. Consequently, the automatic disease prediction system has been deployed on a website and an Android smartphone application. Initially, we enter necessary values from the pathology report or insert X-ray images into the website or the Android application to predict whether the person suffers from these diseases or not. The prediction is made in real time using machine learning models trained on various open-source datasets of different illnesses. We have used Random Forest as the supervised machine learning model as it produced an accuracy of 85%, 97%, 75%, and 85% to predict diabetes, cardiac disorder, liver illness, and chronic kidney disease, respectively. We have employed an attention-based CNN model, which produces a validation accuracy of 92% to predict coronavirus. Explainable: All models were used to interpret them.
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Open Access
Workshop on Business research at NSU
(New Age, 2024-03-04) New Age
A research workshop held at North South University campus organized by the 'Centre for Business Research' of NSU.