@wub.edu.bd
Lecturer, Department of Mechatronics Engineering
World University of Bangladesh
M.Eng - Mechatronics (Asian Institute of Technology)
B.Sc. - Electrical and Electronics Engineering (Ahsanullah University of Science & Technology)
H.Sc. - S.O.S Hermann Gmeiner College
S.Sc. - S.O.S Hermann Gmeiner College
Computer Vision, Artificial Intelligence, Machine Learning, Robotics, Automation
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Abu Salman Shaikat, Rumana Tasnim, Jahid Hasan, Md Zonayed, Molla Rashied Hussein, Shaekh Mohammad Shithil, and Abdullah Al Amin
IEEE
Water energy sources play a crucial role, particularly in providing electrical energy through hydroelectric power. Both the water flow rate and the water head determine the potential energy available from water. The hydroelectric system's energy generation directly depends on the water flow rate. A lower flow rate means less water is available to generate energy, even if the head is high. It is essential to increase the potential of the water flow so that it can generate enough electricity. Traditionally, the flow rate is restricted due to the limited capacity of single penstock. This work addresses this issue by introducing multiple penstock-based water flow management systems. Also, conventional water flow monitoring systems often face limitations, like relying on manual measurement, as it only provides periodic data, making it difficult to respond quickly to changes in flow conditions. IoT-based flow sensors leverage IoT technology to monitor water flow and transmit flow data in real-time, enabling operators to detect fluctuating flow conditions and implement timely adjustments to processes, therefore enhancing the overall efficiency. This work aims to design and develop an IoT-enabled prototype hydroelectric power generation system using multiple water flows for enhancing power generation efficiency. The prototype indicates the use of multiple pipes as penstocks in a dam. Additionally, if generating a significant amount of electricity is not required, the water flow can be discontinued, thereby automatically closing each pipeline. This work uses flow sensors, Kitsware software, Arduino IoT Cloud, and an LCD display to generate flow measurement data every ten seconds from multiple pipelines. Moreover, the system automatically generates Excel data and graphically represents multiple water flows, enabling the user to compare the water flow data. The completed work resulted in a hydropower system demonstrating enhanced output and effective compatibility with IoT for remote access.
Molla Rashied Hussein, Abu Salman Shaikat, Rumana Tasnim, Md Zonayed, Abdullah Al Amin, Shahed Rahman, and Sayma Sultana Jhara
IEEE
Smart home technologies have significantly enhanced comfort and convenience in our daily lives by facilitating several domestic tasks. Household robots utilized in smart homes are designed to maintain clean floor spaces. The manually operated floor cleaning machines are exceedingly labor-intensive and time-consuming. Furthermore, fuel-operated machinery is prohibitively expensive as well as detrimental to the environment. This paper presents the design and development of an automated floor cleaning robot that eliminates previous limitations, thereby conserving both time and financial resources by reducing human labor costs. Recently, several household robots, particularly floor-cleaning robots, have been developed. Nonetheless, only a limited number of advanced robots were dedicated to the wet cleaning of floors. This study presents an efficient automated vacuum cleaning robot that can perform both vacuuming and wet cleaning of floor surfaces while navigating the area. This eliminates the labor and necessity of designating separate time for cleaning the premises. The automated robot was initially designed, followed by the construction of an effective chassis. Subsequently, IR sensors, an Arduino Nano, motor drivers, and a motor shield were incorporated into the system. The economical and user-friendly robot is designed for autonomous cleaning of various surfaces in both household and industrial settings.
Nazib Sobhan and Abu Salman Shaikat
IEEE
Automation is the future of the industrial manufacturing process for the upcoming fourth industrial revolution. This automation implicates intelligent machines, robots, the Internet of Things (IoT), and the Artificial Intelligence (AI). The pick and place robotic manipulator has often utilized robot systems for industry. The application of the fourth industrial revolution is started with pick and place robotic manipulator. This paper addresses the design and implementation of pick & place robotic hand manipulator operation for automatic warehouse product management. Mainly the big warehouse management system is quite complex and difficult for manual control and that’s why an automatic system is introduced to ease the process. The proposed automated scheme is successfully cover with 5 DOF robotic manipulator and various mathematical calculations is done to run the model. Finally, a prototype has been built to validate the model, and eventually, a GSM-based mobile application is introduced to regulate the operation. This work can not only bring the precession but also provide the guarantee of the warehouse system is free from artificial waste and ensuring perfect warehouse products management system.
Nazib Sobhan and Abu Salman Shaikat
IEEE
In this paper, a developed and smart protection scheme for the electrical power transmission grid is proposed. Naturally, the electrical power transmission system protection scheme contains two major parts, such as external protection scheme and internal protection scheme. The external scheme consists of basic physical protection systems like open circuit, short circuit, and over voltage protection scheme. In contrast, the internal system includes symmetrical faults and unsymmetrical faults. In this research paper, the external protection system is described. Moreover, the earthquake protection system and temperature protection system are introduced additionally in this development scheme. These additional features provide extra protection in the power transmission grid system against earthquake and fire incidents. The `Internet of Things’ (IoT) is introduced here to digitize the electrical transmission grid technology. With this, the data acquisition will become faster and it will build reliability between the user and supplier.
Ahmed Jawad, Mohd. Suffian bin Misran, Abu Salman Shaikat, Md. Tarek Ur Rahman Erin, and Md. Mizanur Rahman
Springer Singapore
Abu Salman Shaikat, Rezwan-us Saleheen, Farhan Mahbub, Rumana Tasnim, and Md.Mizanur Rahman
IEEE
Welding is a universal assembly process, implied with industrial and automation implementations. Such procedure involves heating, melting, and mixture of metal or similar to those of the materials being joined. Conventional welding activity may cause some serious health hazards as a result of exposure to metal fumes and to ultraviolet radiation. Implementation of welding robots is a remedy for such health hazards. Therefore, the utilization of several types of welding robots is a typical practice in automobile industries for welding different parts of cars and nickel-cadmium cells in the production of batteries. The proposed work illustrates such a welding robot with 6 DOF which can easily move inside the cylindrical-shaped workspace. Moreover, by learning the position of the end-effector with inverse kinematics, the angles for each joint can be calculated. Hence, along with forwarding kinematic, the end effector can make a gesture towards the desired position. Furthermore, by utilizing the geometry method, the velocity of each joint can also be determined.
Mizanur Rahman, Molla Rashied Hussein, Abu Salman Shaikat, and Rumana Tasnim
Springer International Publishing
Abu Salman Shaikat, Rezwan-Us Saleheen, Rumana Tasnim, Rayhan Mahmud, Farhan Mahbub and Tohorul Islam
Traffic jam is one of the greatest problem of Bangladesh. It affects mostly on its capital city, Dhaka, where density of population is second highest among the world. One of the major reason for occurring traffic jam is inaccuracy of the use of traffic signal. This paper introduces an intelligent traffic control system for four nodes traffic system. This system is entirely controlled by the use of image processing and artificial intelligence techniques. Image processing leads for detecting the density of vehicles by using Haar Cascade method, whereas artificial intelligence helps to modify the timing of traffic signal accurately time by time. These process held automatically and police can monitor from police box all over the time by computer. Moreover, in case of emergency, a manual system is introduced, which can support traffic police to turn the system to manual and operate the timing manually. Finally, traffic data is collected from road and prove the effectiveness of proposed system. This system will support as an extremely effective, self-coordinated and self-organized traffic control appliance.
Abu Salman Shaikat, Rumana Tasnim, Mehbub Khan, H. Imam, Shanzid Ahmad Rocky and M. Alam
PLCs are robust industrial electronic systems applied for controlling a wide variety of mechanical systems. One of the most substantial applications of PLC is found in glass bottle manufacturing industry. PLC based glass bottle spray coating system is a noteworthy part of glass bottle manufacturing industry Especially, in Bangladesh the system has not yet been introduced till now. This paper aims to implement a glass bottle spray coating system using programmable logic controller (PLC) along with SCADA (WinCC RT advanced) and proportional Integral Derivative (PID) control system. For glass bottle spray coating, accurate temperature and density level needs to be maintained, which is emphasized in our proposed system. In this work, temperature sensor is used to detect the temperature of water and level switch is used to detect the water level. WinCC RT advanced is used for obtaining the real time value.
Abu Salman Shaikat, Rumana Tasnim, Rezwan-Us Saleheen, Maruf Rayhan, Md. Tauhid Khan, and Rabiul Hasan
IEEE
As global energy demand is constantly on the rise; power management has been becoming a major issue in the past decades or so due to less energy reserves. Power shutdown is a key crisis at the present time whereas disruption of power can cause a huge production loss for industries which calls for proper power management and monitoring in a systematic way. This paper deals with this issue by developing a prototype system and implementing real time energy monitoring and controlling of the system. In this system, power from main line is distributed and supplied to certain loads. If capacity of distributed load is less than required, then another line will be activated in parallel in order to prevent power shutdown and avoid production losses. Moreover, this process can ensure safety by tripping the system in case of any fault occurrence. All these are performed in an automated process using PLC and Web server.
Engineer - Bangkok Glass Public Company Limited