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Browsing by Author "Dr. Shahnewaz Siddique"

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    Open Access
    3-SURVIVORS: Rough Terrain Negotiable Teleported Mobile Rescue Robot with Object Detection
    (North South University, 2019) Rafia Alif Bindu; Sazid Alam; Nusrat Jahan Moni; Dr. Shahnewaz Siddique; 1510080643; 1511394042; 1510531042
    Today, technology is developing in the same direction in line with rapidly increasing human needs. The work done to meet these needs makes life easier every day, and these studies are concentrated in robotic arm studies. Robot arms work with an outside user or by performing predetermined commands. Nowadays, the most developed field of robot arms in every field is the industry and medicine sector. When we talk about robots, people tend to think that robots are only suitable to use in the industry or just for the scientist to test new technologies. However, the main function of robots is to help humans in doing work either in the industries or just helping out doing normal household chores. To bridge the gap of the normal perception of “robots are for the industries only” is omitted for our project. This project presents the development of a radio-controlled robotic arm. The movement of the robot arm can be controlled by a FlySky FS-CT6B 2.4GHz 6CH Transmitter and a radio controller. This robot can be used to demonstrate that a robot can be used inside a home or outside for daily human chores. The robot is controlled by Arduino that interfaced with the controller by a 500 GHz receiver. Designed and realized in the project, the robot arm has the ability to move in 6 axis directions with 6 servo motors. Two types of analysis was done for this project that is servo motor analysis and accuracy test. The accuracy test shows that the results of the actual output of the servo motor as compared to the input send to Arduino Uno via controller is between 90% to 95%. This prototype of the robot showed that the operation was successful. This user-friendly robot is expected to bridge the gap between robot and household chores
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    Embargo
    Change Detection Analysis and Characterization of Land Components in Sylhet Division Using Remote Sensing
    (North South University, 2020) Novera Tasnova Chowdhury; Sifat Jahan; Md. Shohug Hossain; Shourav Purkayastha; Dr. Shahnewaz Siddique; 1520378042; 1611702642; 1610193042; 1512325042
    This paper illustrates the result of changing in different types of land cover of Sylhet Division of Bangladesh using Remote Sensing techniques and multispectral satellite image data from 1990 to 2020. Unsupervised classification is used to analyze the trend of changes of the components of land cover over the past decadal years and changing variation in different months (January, February & March). The spectral and spatial analysis are being done to characterize the land cover components in different months. The maps are created by using high resolution images such as LANDSAT 5 and LANDSAT 8. The overall analysis is indicating that different components of land covers in Sylhet division is decreasing over the past decadal years due to loss of natural soil nutrients, loss of natural water reservoirs and of their resultant benefits, increase in the occurrence of flooding and degeneration of wetland-based ecosystems, occupations, socio-economic institutions and cultures. Increased population in Sylhet division is another reason for the awful situation of land cover areas within the four decadal years.
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    Open Access
    Designing an Electrical Energy Storage System for Commercial and Residential Use by Using Solar Energy
    (North South University, 2020) KASHFIA MAHMOOD; JAHIDUL ISLAM; MD. AL – AMIN BHUIYAN; MD. IFTAKHAR HOSSAIN; Dr. Shahnewaz Siddique; 1610376043; 1610441043; 1610458043; 1611865043
    Electrification is one important goal for any developing country like Bangladesh for bringing about social and economic developments. But unfortunately, there is no supply or insufficient supply of electricity in many remote areas of Bangladesh which protract the developments of whose areas. As a result, both government and nongovernmental organizations are trying to introduce solar power system in those areas. However, for being expensive, donor driven and fragile the expected results haven’t seen. On the other hand, many people are using diesel or petrol generators which produce sound and emit Carbon dioxide in the air, consequently pollute the environment. Therefore, this research focuses the way to solve these problems and produce a new environmentally friendly power system to provide electricity in those areas. In this system using concave mirrors to concentrate the rays of sunlight to evaporate water then using the steam, turbine will be rotated to generate electricity and stored in battery as power to supply to the load when needed.
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    Open Access
    ELECTRONIC VOTING SYSTEM সুনির্বাচন
    (North South University, 2020) ALISA HOSSAIN; MD. TANVIR NEAZ; Md. HAIDARUZZAMAN; Dr. Shahnewaz Siddique; 1522014042; 1530716642; 1610977042
    Using the decade old election system to collect votes from the citizens is no longer considered efficient due to the various recurring errors. So time has arrived that the paper based primordial voting system which has already proven itself an inefficient and slow procedure is changed immediately. The system that is being followed currently, from data collection procedure to counting of the votes is a manual process. Here we are proposing an automated electronic voting system. It starts with automated registration system that will provide the secured database of the voters’ information. Voter details will be stored against their finger prints in the main database. The election commission authority is authorized to access the details but they aren’t authorized for modifying or changing the details. Modification of the voters’ information requires the fingerprint of the particular voter. So the system will help to minimize the corruption done by others, and hopefully corruption may be diminished at some point of time. In this system Voter will select his/her preferable candidate by providing his or her opinion on a touch screen where all candidates’ voting sign is displayed. Among them one application server will work as dispatcher. The encrypted votes will be sent from the client to the dispatcher through an application server and this layer will send those votes to main database through another application server. They will be counted there automatically which will take lesser time than the manual system. So the result will be faster, more accurate and reliable.
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    Open Access
    Eyes For You A Deep Learning IoT device to assist visually impaired persons
    (North South University, 2022-01-01) Abu Zafer Md. Fahim; Fahmida Alam; Minhajur Rahman Rifat; Dr. Shahnewaz Siddique; 1821677642; 1821204042; 1821569642
    We live in an era where people occupy their own lives. All have to make their living depending on none. Nevertheless, some people need the help of others to do their daily chores. They can be disabled, blind, or physically challenged. Among them, visually impaired persons suffer the most even in this modernized world, as any alternative to eyesight has not been invented yet. Also, people’s eye health may get worse with time. Irrespective of the way of visual impairment, individuals suffering from it feel burden to others. So, we are trying to help them make their lives a little easier than usual through our machine. We have proposed a machine that will help people walk safely anytime. The device helps the user detect any obstacle, measure the distance between the user and the obstacle, measure the obstacle's speed or velocity, and the direction of the obstacle. Our device can detect up to 80 objects and inform our users that there is obstacle around him, that is how he can move freely around hous
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    Open Access
    Gender & Age Detection using CNN and Deep Learning
    (North South University, 2022) Lamia Akter Shahinur; Mahmuda Akter Meem; Kaniz Fatema; Md. Mobasshir Miah; Dr. Shahnewaz Siddique; 1821023042; 1821029042; 1821382042; 1911248642
    An application for video data analysis based on computer vision and machine learning method are presented. Novel gender and age classifiers based on adaptive features, local binary patterns and support vector machines are proposed. As features for the gender and age estimation, facial shape, skin texture, hue and Gabor feature are used. In order to show the effectiveness of proposed method, not only real-age database of facial image but also appearance-age database is employed. We also analyze the facial features characteristic to each age category and gender, and examine the difference feature of between the real-age and appearance-age in a facial area. Moreover, we examined the left-right symmetric property of the face concerning gender and age estimation by the proposed method. The promising practical application of such algorithms can be human-computer interaction, surveillance monitoring, video content analysis, targeted advertising, biometrics, and entertainment.
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    Open Access
    Learn World Image Captioning Using Machine Learning Algorithm for Android Application
    (North South University, 2019-08) Hamdan Kaiser; Sayeda Islam Nahid; Dr. Shahnewaz Siddique; 1512080042; 1510897042
    Learn The World, an object learning based Android application, developed based on Machine Learning and Image Captioning. An android application that generates a description of an image that we know as image captioning. Image captioning works after recognizing the important objects, their attributes and their relationship in an image. From the following concept, we aim to designing a learning application, developed based on Image Caption using Machine Learning that detects objects from real time images (means an image taken instant) or previous taken image and describe image behavior with the help of speech descriptor with modifications. Also, our application marks each individual objects according to object annotations and lists the name of particular object on images into machine encoded text with its accuracy. Means it can be used for many purposes like recognizing objects from images, helping children to learn the surrounding behaviors, detect particular objects and so on. That means if anyone, specially a child takes a picture of an event surrounded by them the application will first introduces them with the object included in that picture. And it helps them showing accuracy of the objects present in the picture. They can see the caption and by speech descriptor they can acquired knowledge about the correct pronunciation. This application is very much informative related to children for every day’s knowledge gathering.
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    Open Access
    NSUECE_HELPDESK: An Intelligent Assistant for ECE Department
    (North South University, 2019-08-31) Mumin Az Zahira Maria; MD. Rifatul Islam Rifat; Marjana Rahman; Dr. Shahnewaz Siddique; 1430117642; 1511704042; 1510010042
    We have designed a chatbot for the Electrical and Computer Engineering Department of North South University, with a great deal of information about the department. It is very much structured with the data about course curriculum, faculty details, department’s necessities, and other requirements for students. As a student of Electrical and Computer Engineering Department, sometimes we don't get that much time to go here and there for a single information. Our fundamental objective for making this to save the spare time of a student. In this chatbot we planned the inquiry of users dependent on phrases, keywords and examples. It is particularly simple to have almost desired answer by giving just single word by any user. We have planned this for the student of Electrical and Computer Engineering Department as well as the outsiders who needs to think about to know any information with no problem. Looking in sites for quite a while, it is smarter to simply open our chatbot application to locate the precise information. it is connected with Google Assistant, so user just need to consider that for reacting our chatbot which is additionally very much time consuming for occupied student
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    Open Access
    Semi-autonomous Wheelchair with Real-Time Object Detection Using YOLOv7
    (North South University, 2022) Faysal Miah; Dr. Shahnewaz Siddique; 1721758042
    Disability is part of being human. According to the World Health Organization(WHO) an estimated 1.3 billion people – about 16% of the global population – currently experience significant disability. In our senior design project we introduce a Semi-Autonomous wheelchair for the disabled people. Autonomous wheelchair is a technology that is appropriate for people who have lost mobility due to brain injury or the loss of limbs but or loss of eyesight. The technology can also enhance safety for users who use ordinary joystick- controlled powered wheelchairs, by preventing collisions with walls, fixed objects, furniture and other people. This project is intended towards contributing to the helping hand of the paralyzed patients. This is a multifunctional wheelchair that helps the is a multifunctional wheelchair that helps the unable person to control it in ways like automatic obstacle detection control and remote control. The main features of the wheel chairs are: Automotive format - (detects obstacles by YOLOv7 and finds new path to move). Remote controlled feature - (It's controlled by any android device through bluetooth connectivity). Security assurance - ( It can assure security of the disabled person by keeping record of the data of the moving paths through camera.)
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    Open Access
    Senior Design Project 3D PRINTER
    (North South University, 2024) Tauhid Rahman; Ibtehaz Ahmad; Saiful Islam Maruf; Syed Tofazzal Hossain; Dr. Shahnewaz Siddique; 1510449042; 1510438643; 1521827042; 1521381642
    If we all try to imagine a world where the production of a given solid object would be in your home rather than some factory in china or USA which contribute heavily in global warming. Imagine a world where we can have tangible goods as well as intangible services delivered to our PC over the Internet. A future in which the everyday "atomization" of virtual objects into hard reality has turned the mass pre-production and stock -holding of a wide range of goods and spare parts into no more than an historical legacy. This sounds like a far-fetched theory to some, almost sounds like too good to be true but 3D printers can turn it into a reality. 3D printers are capable of outputting physical solid objects. This has been in practice for a two decades. For the rapid development of technology, the usage & utilization of 3D Printer in industries have increased greatly. 3D Printer has brought a revolutionary change in the field of production engineering. 3D printing is a processes in which materials are joined or solidified layer by layer under computer control to create a three-dimensional Object. 3D Printer is a highly accurate machine. 3D printer is used in both rapid prototyping and additive manufacturing. In this project, we will be building a low cost 3D printer using FDM model from the ground up to show everyone what it is capable of in producing quality objects. For better quality and accuracy, we will be implementing few algorithms and tricks on the 3D printer. So the idea is to show people, the true potential of a 3D printer using low cost products then everyone can understand and appreciate the advancement 3D printer can make in all fields in modern world. The use of 3D printer will only increase as we move to the future and it will gain more popularity and will become a household item in the coming days.
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    Open Access
    Senior Design Project Report : Priority management System
    (North South University, 2020) Saifa Mohsin; Md Kawsar Hossan; Md. Jobaer Ahammed; Imtiaz Ahmed Chowdhury; Dr. Shahnewaz Siddique; 1510960642; 1512137642; 1520678642; 1521045642
    Have you ever wondered, what if there were no rushes once you go for banking, shopping or in a cafeteria? Life would have been so peaceful and we all could have worked within time. Sadly, we all only imagined it but now there’s a solution to it which we will provide through our high-end project. Priority management is one of the most recent research topics in the IOT. In a time when most of us have to cope with globalization, the key for surpassing the negative effects produced by it, resides in strategy. Priority queues are container data structures essential to many high-performance computing applications. In this paper, we will introduce to priority management system with various applications and how it eases our daily life.
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    Open Access
    Smart Eyes Glass A Blind Assistant
    (North South University, 2019) Pretom Das Hira; Abdullah Al Mamun; Shakhawat Hossain; Dr. Shahnewaz Siddique; 1511093642; 1511753642; 1511162042
    A blind person cannot see, so he faced many problems in daily life. He needs an assistant to assist him. But it is quite difficult to manage a person who help throughout the whole day. So, we need such a smart assistant that is not a human being but it helps more than smart way. Here is our solution: Smart eyeglasses! It will be a perfect smart assistant for a blind person for reading a written article, recognizing money and colors, detect a human in front of him. And it gives the output through headphones which connect with his ears.
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    Open Access
    Smart Mask with Humidity Detection Alarm
    (North South University, 2021) Shukla Bhowmick; Jannatul Maowa Surovi; Dr. Shahnewaz Siddique; 1110436042; 1512331042
    This research paper is a clear representation of our ideas, planning, and work process about designing a ‘Smart Mask with Humidity Detection Alarm ’ which can be declared as a very helpful project considering the global pandemic happening due to COVID 19.
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    Wireless Power Transmission (WPT)
    (North South University, 2020) Nayeema Habib; Satyajit Dev; Abu Saleh Mohammed Nasim Joy; M S Arifin Khan Ahee; Dr. Shahnewaz Siddique; 1431060045; 1530255043; 1520925043; 1421068042
    The purpose of this design project is to gather a vast idea of knowledge about transfer power wirelessly and subsequently discuss about its various applications as well as different techniques of transferring power. This report consists of the research, planning and execution of our findings to build a prototype that uses wireless power transmission (WPT) mechanism. Wireless power transfer or electromagnetic power transfer is the transmission of electrical energy without wires as a physical link. In a wireless power transmission system, a transmitter device, driven by electric power from a power source, generates a time-varying electromagnetic field, which transmits power across space to a receiver device, which extracts power from the field and supplies it to an electrical load. The technology of wireless power transmission can eliminate the use of the wires and batteries, thus increasing the mobility, convenience, and safety of an electronic device for all users. Wireless power transfer is useful to power electrical devices where interconnecting wires are inconvenient, hazardous, or are not possible. The main aim of our project is to transfer power without using any wires by inducting magnetic flux. We hope to probe into this revolutionary technology and bring light to new findings in the process. The main focus of this project is to find and establish a satisfactory connection between wireless power transmission technology and the desired efficiency as well as the future prospects of this technology.

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