School of Engineering & Physical Sciences (SEPS)

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https://repository.northsouth.edu/handle/123456789/6

The School of Engineering and Physical Sciences (SEPS) has been a school of NSU since its inception. The growth of SEPS parallels NSU’s rise to the top. SEPS, the second-largest and fastest-growing school at NSU, provides a knowledge and skill-based learning environment to its students in the fields of engineering, architecture, and physical sciences.

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Embargo
Design of a low voltage digital thermostat using LM35 and PIC Microcontroller
(North South University, 2013) Kaiser Alam; K. M. A. Salam; 072163045
This system is about the design of a low cost temperature sensing and control system (thermostat) with the use of PIC microcontroller and LM35 temperature sensor. The system is relatively inexpensive to make and can be integrated with temperature control systems such as air conditioners and fans. Apart from making temperature control systems more affordable for everyone, this system also helps save energy by automatically switching the devices on or off at the appropriate temperatures. In this project the LM35 and PIC16f877a microcontroller have been used to make a digital thermostat that is programmed to switch on and off a fan automatically when the temperature rises above or falls below a certain threshold value. The device also includes a LCD display to indicate the ambient temperature to the user. The threshold temperature can be programmed into the PIC microcontroller using a PIC programmer. The device as a whole works as a digital thermostat. Commercially available digital thermostats work at 24V AC typically. Some versions use a low voltage as low as 6V or as high as 30V. In this project the thermostat design allows it to operate at only 5V, making it more energy efficient than currently commercially available digital thermostats. The versatility of the system allows it to integrate with many different devices. Apart from air conditioners, furnaces and fans, this system can be used to build incubators or to maintain a constant temperature in your refrigerator at home.
Open Access
Microsoft Project Management System
(North South University, 2014-09-25) Asim Mandal; Mr. Tarif Riyad Rahaman; 0930198042
Project management is a prime essential for any business, corporation or company. Without proper project management it becomes impossible to keep track of the current status of processes and plans. Microsoft Project Management System helps just to do that and even more. It lets all the working team a proper view and lets them edit, update or modify a process according to the deadline. And it also provides different view/edit permissions to different groups. We have to configure a server for Microsoft Project Management System as it can be accessed from anywhere in real time view.
Open Access
KenaBecha: An E-Commerce Website And Mobile Application For Buyers And Sellers
(North South University, 2018) Irtiza Nahian Faiza Sanha; Md.Shah Alam Chowdhury; Shamanna Ferdous Haque; Mohammad Monirujjaman Khan; 1520448042; 1430501042; 1410904042
With growing use of internet, people are now able to reach out to the world as fast and as efficiently ever. In this project, an interactive multimedia is developed where sellers from rural areas will be able to contact with the buyers all around the country directly. The system will be accessible via internet and available to the target population through computers or laptops and even smart phones very easily. The project includes content designing, web portal development and application development. We hope that the project will make lives easier for the targeted population. The buyers and sellers will be able to view the products online. This would eliminate any middlemen among them and make it much easier for users in terms of usability
Open Access
Multipurpose Agro System
(North South University, 2018) Md. Omar Faruque Shah; Surith Bhowmick; Shahnewaz Siqqique; 1411288043; 1410132043
An agricultural mechanism or agro mechanism could be a mechanism conveyed for agricultural capacities. The most space of use of robots in agriculture is seeding robots square measure intended to trade human work. The agricultural business is behind elective integral businesses in exploitation robots because of the sort of occupations worried in agriculture are no and burrow. This project talks about building up a mechanism fit for movement activities like programmed seeding and burrow. It also gives manual administration once required and monitors the wetness with the help of wetness sensors. Then primary part here is that the small scale controller that manages the entirety strategy. The agro-robots are fit for performing self-ruling driving also, three programmed agricultural activities, viz. hilling, mulching, and sowing of seeds in the separate request. The information got from different sensors on the field is later transmitted to the controller through ZigBee system to roll out the improvements in the control program to get wanted field yield. The exploration is directed to give help to farmers by decreasing work hours for agricultural exercises by implementing automation. This study will give another option to the existing systems with apparatuses appended behind tractors and thorough manual activities on agricultural field at successful cost.
Open Access
A solution for industrial problem: Predicting the future market price using low amount of data with the help of Time Series Analysis
(North South University, 2019) Istiak Rahman; Zareen Tasnim; Farzeen Ahmed Bashori; Mahdy Rahman Chowdhury; 1530861642; 1511908042; 1510223642
Bangladesh has a lot of potentialities and possibilities as a third world country if it utilizes the blessings of technology properly. With the help of recent technology, different time series analysis models have been developed like ARIMA, ARIMAX, SARIMA, SARIMAX, and even a Facebook developed module called Prophet. Nowadays it is possible to detect the future trend of any business given any type of data. We have applied a similar approach to predict sales for one of the flourishing startups of the country named Rokomari.com. The struggle for any company is to sustain amongst its powerful competitors in its emerging years. It becomes easier to ace over the competitors if the company can have a prior preparation of its upcoming challenges. Our effort was to make the journey smoother so that it can sustain in building a flourishing business amongst its competitors. In order to do so, we have worked with “real world” sparse dataset of the company itself. We were successful in predicting their possible sales for coming years using time series models like SARIMA and Fb Prophet. The paper discuses briefly about the significance and possibilities created due to implementation of our custom build software.
Open Access
CPPS: A portal for tracking and guiding algorithmic problem solvers
(North South University, 2019) Abdullah Al Imam; Labib Md. Rashid; Hasib Al Muhaimin; M Shazzad Hosain; 1511013042; 1510712042; 1510720042
Sport programming is a fairly underrated co-curricular activity for students of various levels. It can be a very productive hobby for professionals as well. Regular involvement with programming problem solving keeps a programmer’s skill to write code from scratch fresh and gives various perspectives in approaching problems of different fields of Computer Science and Software Development. Universities all over the world take initiatives and run training programs for developing highly skilled competitive programmers. This project acknowledges the need for smoothening the process of training students for competitive algorithmic problem solving. The end result of this project is a Web application serving programmers, helping to improve their problem solving skill. It also serves trainers for managing and guiding their students. This app provides with a very well defined guideline and tools for programmers to pursue their goal of becoming a highly skilled programmer and enables them to do well in programming contests as well as building their career as a computer science professional.programming is a fairly underrated co-curricular activity for students of various levels. It can be a very productive hobby for professionals as well. Regular involvement with programming problem solving keeps a programmer’s skill to write code from scratch fresh and gives various perspectives in approaching problems of different fields of Computer Science and Software Development. Universities all over the world take initiatives and run training programs for developing highly skilled competitive programmers. This project acknowledges the need for smoothening the process of training students for competitive algorithmic problem solving. The end result of this project is a Web application serving programmers, helping to improve their problem solving skill. It also serves trainers for managing and guiding their students. This app provides with a very well defined guideline and tools for programmers to pursue their goal of becoming a highly skilled programmer and enables them to do well in programming contests as well as building their career as a computer science professional.
Open Access
PHOENIX: Drone Aided Disaster Management System
(North South University, 2019) Arnob Barua; Hasan-Ul Islam; Shihab Bin Sarwar Chowdhury; Shahnewaz Siddique; 1530418343; 1511167043; 1511974643
There are traditional ways that we have used to control and deal with the after math of fire hazards and natural calamities like earthquakes and cyclone. But as the technology has developed in recent years we have come up with a more innovative method to tackle this problem which we believe can save more lives. Our solution is PHOENIX. It is a pair of drones that are designed for surveillance and survival package delivery in the case of a disaster management. The reason why we chose to work with drones is because one of the major aspect of a drone is that it can reach where a person cannot. In many disastrous situations that is a major factor in saving lives. Traditional methods has to work from a distance and is inaccessible in tight places. Our drones can provide an overview of the whole effected area and show exactly where to send rescuers and resources to save maximum lives and goods. In case of disasters these drones can be used for surveillance and also for deployment of fire extinguishing agents and emergence survival kits. These small changes can cause a major difference in a life and death situation. We believe that in the right hand our project can save a lot of lives in disaster situations.
Open Access
SAVIOUR, THE SURVEILLANCE BOT
(North South University, 2019) MD. Shaiful Alam Turza; Sharmina Islam Surmi; Meraj Jannat; Md. Shahriar Karim; 1420652042; 1420116042; 1420052042
This report represents a survivor robot model motivated by the physique of a spider which may be used for search and rescue operations. Various types of walking algorithm took place to make this survivor robot and have been tested on the robot too. Control of this robot is done by the use of RC remote AT 9s. This spider robot is based on six leg system and this is expected to be well suited for navigation in rough terrains. To move the robot into rough fields we have put some functional algorithm on to it. Moreover, these algorithms provide varieties of speed parameters to the robot which is based on the structure of the robot leg system. Each leg is joined by three servo motors that are controlling the limbs from every joint. In addition, we have developed a prototype for the experimental purpose.
Open Access
An Autonomous Surveillance Drone
(North South University, 2019) Md. Jobayer Hossain Sourav; Adnan Islam; M Asif Ibna Azad; Mohammad Al-Amin Hossain; Mirza Mohammad Lutfe Elahi; 1430578042; 1430575042; 1430366042; 1420212042
Drones have become very common these days in the entertainment field. People use drones to take amazing videos and pictures of landscapes. We have used this entertainment device in a more helpful way with which we can solve real world problems. Our drone has features such as surveillance, object detection and crowd detection. The main idea of our project is aimed to ensure precise and fast surveillance throughout a specified area using autonomous surveillance. It is aimed to be used for violence detection, law breakers and any other objection that pose a threat to the law. It scans all the places that CCTV cameras cannot cover and reports back live video feedback to the security personnel. Our work mainly aims to improve surveillance technologies and shape a secure compound. With the rise in security issues in the past decade, many people have resorted into unfair means of conduct. Also, with the rise of technology, it has become easier for law breakers to plan about an event without any security officials knowing about it. CCTV cameras are sometimes able to catch the intruders but, in most cases, due to the angle in which the camera is set to, many crimes go unnoticed. Our drone can detect any unwanted object or unauthorized person inside a given territory. Moreover, if there is any crowd which can pose a threat for the security concern, our drone can autonomously detect the crowd and send notification to the nearby security personnel.
Open Access
Automated Hydroponic System Using IOT and Cloud Computing
(North South University, 2019) Ramiza Maliha; Md. Nahid Rahman Ontu; Syed Tahmid Abra; Zunayeed Bin Zahir; 1430592042; 1431123042; 1430651042
In this report, we have explored the idea of automation in regards of hydroponic system. The purpose of this project was to make this process more manageable and accessible for the masses so that the people of Bangladesh can re-establish the slowly falling agricultural sector with advance new technology. As the unemployment rate is increasing and people are looking for new ways to stabilize the growing economy that people of Bangladesh has worked hard for, the most lucrative offer can come from the most back dated sector of our country, thus the hydroponic system. Hydroponic system can be the emancipator of our agricultural system, albeit the venture is quite risky due to the fact that we lack both knowledge and resources. Since, hydroponic system present itself as something of a sacrilege, which more often than not, people tends to avoid. Furthermore, with the backward technology we have mixed with the lack of understanding, most of the enthusiast either gives up half way or are still struggling. Ergo, this project is aiming to help the entrepreneurs to invest in agriculture so that we can not only reinvent our agriculture sector with new generation of young people, but also provide the country with adequate food, medicinal plant, foreign plants etc. We are integrating internet of things (IoT) and cloud computing to ease the hydroponic system, which requires constant maintenance, so that the new comers has more access.
Open Access
Virtual Responsive Learning Assistance- A Learning Aid for Primary Level Education
(North South University, 2019) Shimanto Haque; Devasish Ghosh; Mohammad Khurshed Alam; Md. Shahriar Karim; 1331333042; 1431154642; 1420799042
This paper deals with recognizing characters written on thin air. The aim of this project was to enhance the learning method of primary school education in learning alphabets and numbers and counting. Children of primary level can draw characters in thin air, and see three dimensional or two dimensional images of the characters they write on the screen as a means of Augmented Reality, and also see examples associated with the characters and numbers. This is done by identifying a certain gesture of the hand as a pointer and then tracking that pointer as a means of drawing a character. The detection of the pointer is done with one single-lens web camera and without the usage of any motion sensors or any other external devices. Google’s Tensorflow module was used for training the pointer, and the entire project is done with simple python libraries such as OpenCV, numpy and others. The system requires the minimum manual involvement, and operates within three keystrokes.
Open Access
Smart Voting System
(North South University, 2019) Mahmudur Rashid; Md. Aowrongajab Uaday; Md. Nazmul Islam Shuzan; Shazzad Hosain; 1511966042; 1512918043; 1511783043
In this project, we design a novel type of electronic voting system. With the help of live image processing technology, this system becomes more secure and effective. Besides the advancement in hardware, web, and application-based voter sorting system is introduced by which a voter can choose to vote from anywhere of a country which makes a hundred percent participation of voters. Four connected machines work together to accumulate each successful vote. Before counting the final vote by the fourth machine, NID, biometric fingerprint and image of the voter are verified by the other three machines simultaneously. While voting, if multiple faces detected by the camera module, the vote will not be counted. Corrupted situations can be easily reduced by this inexpensive and effective system.
Open Access
360 Degree Rotating Autonomous Line Follower Vehicle
(North South University, 2019) Shakila Reza Falgunee; Md. Forhad Sarker; Mahdia Maimuna Maisha; Shazzad Hosain; 1511463643; 1430046042; 1430720643
Our project has four features. It is initiated via a Bluetooth controller. Operator fixes the designated checkpoint. It can be controlled both manually and can run autonomously. Then vehicle runs on distinguishing the black path with the white space around via 4 IR sensors attached ahead of the vehicle. There is ultrasonic sonar that detects any obstacle in front on the following path. Sonar stops the vehicle keeping a distance of 15 cm away from that obstacle. This vehicle is set up algorithmically to take the rightmost path when any obstacle comes over its black line path. Our project is made to carry an approximately 10kg weight and reach to the designated checkpoint targeted by operator via Bluetooth. It has no limitation for unloading. The main unique feature is that it can take a rotation of 360 degree when task is completed after unloading. Vehicle comes back to the original point from where it has been started after 360 degree rotation from the end point. It is designed with 4 customized wheels connected with 4 Dc gear motor at four different corners under a PVC board. Over the board there is motor shield connected in parallel with Arduino mega. Ultrasonic sonar and 5 IR sensors and 12 volt battery are connected with Arduino too.
Embargo
Face Recognition Attendance System
(North South University, 2019) Syeda Tahsina; Rafsan Jani Mahmud; Subha Mollika; Shahreen Sultana; Nazmus Sakib; Ashrafuzzaman Khan; 1521376642; 1520495042; 1411660642; 1521173042; 1521166042
Face detection system has mostly gained attention for its huge application and market potential, such as face identification and video surveillance system. Real-time face detection and recognition is not only part of the recognition system but it is also becoming of the major subject for research. So, there are numerous ways to solve face detection. This paper will give a new implementation in automatic attendance management systems that is extended with computer vision algorithms. Supervised learning using convolutional networks (CNNs) has huge assumption in face recognition than unsupervised learning. In our project, we like to help the gap between the success of CNNs for supervised learning and unsupervised learning. We bring a class of CNNs called deep convolutional generative adversarial networks (DCGANs) that contains selective architectural constraints and denote that they have a strong prospect for unsupervised learning. We trained various image datasets, and showed decisive evidence that deep convolutional adversarial matches a hierarchy of presentations from object to scenes in both the generator and individual. Also, we use the learned features that demonstrates their significance as widespread image representations. This latest technique pursue to be much efficient than traditional methods like calling the names in the class; moreover, this is discrete and does not interfere with the regular teaching process. This method promises to give accurate and specific results of the face with more detailed information which shows student activity and their attendance in a classroom. This paper will introduce how we can apply algorithms for face detection and recognition in image processing to improve a system that will identify and recognize frontal faces of students in a classroom.
Open Access
A Web and Mobile Application Based Smart Online Health Care System
(North South University, 2019) Md TalatMahmud; Md Shahrear Bin Satter; Md Samiul Basir Rabbi; Mohammad Monirujjaman Khan; 1511653042; 1210128042; 1511703042
This report presents the design and the implementation of a web and mobile application based system where people can connect with a doctor by video calling those who are in online and patients can be prescribed. Besides that people can also store their all medical information through this system. User of this system will also get notification when they need to take medicine. We have developed a web based system and a mobile application named “Online Health Care”. User of this system expresses the strong desire to own an online web and mobile application which is used for their self-management and directly getting advice from the doctor
Embargo
Prototype of an Eye Gesture Controlled Wheelchair for Paralyzed and Physically Handicapped People
(North South University, 2019) Uttam Kumar Saha; Md. Shazzad Hossan Chowdhury; Sameul Basher; Mahdy Rahman Chowdhury; 1520611043; 1521488643; 1411270043
Paralyzed and physically handicapped people either need assistance of others or requires a smart wheelchair to move from one place to another. As for wheelchair, the system needs to be gesture controlled since it is not easy to move body parts of physically handicapped and paralyzed people. This project presents a prototype of eye gesture detection based wheelchair driving system .For applying the instructions obtained from user’s eye movement, a Bot has been utilized as prototype of wheelchair. Moreover, an obstacle sensor has been added in order to avoid accident when any obstacle comes in front of the wheelchair. A webcam has been utilized in this project for obtaining user’s eye movement based instructions and Raspberry Pi B+ has been used as the central controller and processor for decoding and encoding instructions, image processing and system control.
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A CLOUD BASED MICROPAYMENTS SYSTEM FOR E-COMMERCE PURCHASES: SECURED USING FINGERPRINT AUTHENTICATION AND ENCRYPTION.
(North South University, 2019) Tahmid Khan Nafee; Zubair Rahman; Fariha Islam; Sadman Mahmud; Zunayeed Bin Zahir; 1430312040; 1430133042; 1530704042; 1530948042
Online payments are a big pain point in Bangladesh, especially in the context of the rapidly growing e-commerce industry. Most people don't have easy access to credit cards, due to the increasing fear of money laundering and theft. Moreover, even when credit cards are issued, there is a significant monthly cap, which hinders the industry. In this report, a solution in the form of a mobile payments system is presented. The customers are able to deposit money into their accounts as easily as re-charging their cell phone plans and the merchants are able to accept payments from these customers through secure generation of invoices. Therefore, with certain assertion it can be stated that steps have been taken in the right direction to actually solve the problem of online payments in Bangladesh.
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Ahaar: An Intelligent Cloud Kitchen Model to Promote “Your Health Matters”
(North South University, 2019) Shamim Rahman; Ekram Ul Karim; Barsha Das Tuli; Talbia Kabir; Shahriar Karim; 1430644042; 1430643042; 1521164042; 1521165042
Over the past few years, the obesity problem has increased in parallel with the portion size of food. Also, because of the urban lifestyle, online food ordering is increasing. Together, these factors contribute to numerous health implications, including obesity. To improve the dietary practices among urban people, this project proposes a nutrition-metric-based cloud kitchen model, namely the Ahaar. Ahaar, with all its features, promotes the motto “your health matters” in addition to the food ordering and delivery services generally provided by other online food ordering platforms. The proposed model is a cloud-based dynamic single-page application. Here, both the app and website implement micronutrient-based food ratings to increase awareness of a healthy diet. Moreover, Ahaar recommends suggestions based on calorie intake, nutritional information, diseases, and food quality. It precisely tracks the user's daily calorie consumption and monthly budget plan for rations using a calorie and budget tracker.
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Eliya: An AI Robot, Assistant of the ECE Department, NSU
(North South University, 2019) Sakib Ahmed; Debashish Paul; Rubaiya Masnun; Minhaz Uddin Ahmed Shanto; Tanjila Farah; 1611100042; 1520935642; 1610273042; 1521144642
In our ECE Department at North South University, there are almost seven thousand students and hundreds of faculty members, many of them often have the same queries regarding departmental staff, but there are not enough human resources to answer all of them. Also, the officers assigned to the help desk at the department may sometimes get bored giving the same sort of answers again and again to a lot of people, and their office hours are limited, too. This is why we have come up with an idea to develop an AI Robot for our department, which will be able to give information regarding the departmental staff to the students and faculty members. Now, about Artificial Intelligence (AI)- Artificial Intelligence is one of the most invigorating fields in Robotics. There has always been a question about a robot’s intelligence, but nowadays Robotics is reaching a new level in the AI field. Usually, an AI Robot gathers information about an incident or situation through sensors or human inputs, and in our project, we use human inputs to make our robot useful for assistance. Our Robots will assist only in the fields it is programmed to assist in; they will not have the general analytical ability. But if our robot cannot help with something, it will respond by showing its inability to do that. Now, going to the features and how they are going to work, our Robot will be voice-controlled, where we will be using Machine Learning and NLP for controlling. Then, for movement and speaking, we will be using motors and speakers in the robot. It will give feedback on different questions using AI. We will be using voice recognition in the robot to recognize specific people. The robot will take orders from the supervisor again with voice recognition. It will interact with the general public using Machine Learning. The actual challenge in making an AI Robot is to understand how natural intelligence works, for example, in our project, it would be really tough for the robot to always move in the right direction as people can. But if we can provide it with a good mapping Algorithm, then its problems will be reduced. We have decided to work on AI Robots as we believe robots will gradually move out from the industrial and scientific worlds into our daily lives.
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An Approach in Travel Demand Management Employing Crowd Sourced Data on a Social Networking Interface
(North South University, 2019) Rabita Saleh; Syed Mohammad Dawood Yaseen; Mehbuba Zabyn; Shahnewaz Siddique; 1530649042; 1530669042; 1611968642
According to research unveiled by the Accident Research Institute (ARI) of the Bangladesh University of Engineering and Technology (BUET) in 2018, traffic congestion in Dhaka costs the Bangladeshi economy approximately five million work hours and Tk. 37, 000 crore, annually. Amidst various other causes, the unpredictable nature of traffic in Dhaka creates prolonged traffic congestions. A significant part of these statistics can be attributed to a lack of information about traffic and no reliable central source of information to consult regarding the advisability of conducting a journey at any particular time. The only moderately reliable approach to gathering information regarding traffic is consulting Google Maps. However, the estimated time of arrival provided therein often fails to be satisfactorily accurate. In this paper we propose an online web application that combines the nature of a social media interface with crowd sourced data- a tool of our times the potential of which we are only beginning to grasp now- in order to provide the users with a central source of reliable information with the purpose of increasing traffic awareness, and thereby, discouraging congestion using concepts of travel demand management (TDM), particularly intelligent transportation technologies.