Browsing by Author "Islam, Akib Jayed"

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A Greener Approach to Harvest Energy using Piezo-Speed Breaker
(IEEE, 2019-04-04) Islam, Akib Jayed; Hamid, Mohammed Kaiser; Alam, Sadman Shahriar; Hasan, Md. Mahmudul; Hoque, Md Azizul; Rafid, Mohammad Nokib Monsur
At present, the need for power is paramount. To meet the current necessity of undisrupted power supply, researchers are working on different renewable and green energy sources. For powering up devices, it is required to make the wired connection either with batteries or with a grid line. However, the batteries are subjected to charging and maintenance which makes it difficult to charge it every now and then in conventional ways at locations such as busy roads and remote places. To solve this situation, energy harvesting technique using piezoelectric material can be used. This technique is mainly based on converting mechanical stress into electrical energy by means of low-frequency vibration using piezoelectric effect. In this paper, we have proposed an innovative way to harvest energy by piezoelectric effect in the roads using the vibratory motion of vehicles. There are several works that have been done on harvesting energy from piezoelectric material, but the limitation of this kind of source is a micro level of energy. Our motivation is to provide a circuitry using a boost converter to level up the output voltage and hence increase the efficiency. The circuit comprises of an electrochemical battery, an AC to DC rectifier, and a switchable DC to DC converter that controls the energy flow into the battery. A versatile control strategy for the DC to DC converter is utilized to persistently actualize the ideal power transfer hypothesis and exploit the power stored in the battery. Vibration energy generated by the movement of the vehicle can be converted into electrical energy by the piezo-speed breaker. As a consequence, this stored energy can be used to power up the roadside traffic signal and street lights. The prototype ensures a green energy source that will reduce power generation cost and the usage of fossil fuel.
A Low-Cost GPS based Application for Navigating Shallow Waters
(IEEE, 2019-06-27) Alam, Sadman Shahriar; Islam, Akib Jayed; Hasan, Md. Mahmudul; Imtiaz, Md. Nafiz
Parts of the Norwegian coastline have a dense population of skerries, which can easily lead to collisions of small boats. Bigger vessels have an abundance of navigation systems, Automatic Identification System (AIS), and similar systems. But smaller boats are not regulated by the same laws and are more likely to traverse shallow areas. With a low-cost GPS receiver in conjunction with digitized maps, it will be possible to classify areas as shallow and notify the user. By creating a mobile application, small boats can also get some of the information and warning systems as larger ships now have. Further, it can be possible to incorporate this into a standalone microcontroller with a GPS module. In order to maximize the number of users, the price of such a product needs to be sufficiently low in order to justify the investment. By implementing this concept with a smartphone application, the cost is reduced substantially, as the hardware is readily available. This paper will provide a mobile-based application that sends in coordinates using GPS and other information from the mobile device to the web-based server, which then returns depth data. The mobile application then decides whether you are approaching a safe or dangerous area. This application was tested on Elgeseter Bridge in Trondheim, Norway. Accuracy testing of the GPS modules on mobile phones and an external GPS module (Quectel L80) were carried out and the outcome of those tests are discussed in the result.
A new approach of brain MRI analysis for identifying Creutzfeldt-Jakob disease (CJD)
(IEEE, 2018-02-01) Islam, Akib Jayed; Ahammad, Khandoker Tanjim; Barua, Bithi; Alam, Sadman Shahriar; Biswas, Akash
Creutzfeldt-Jakob disease (CJD) is an uncommon, degenerative, invariably destructive brain infection which is difficult to analyze, especially during its early stages. CJD is considered as prion infection and can do harm in the brain when it is developing as a misshapen form. By analyzing the characteristic of Magnetic Resonance Imaging (MRI) signal changes, prion disease can be identified. But till now in the diagnosis of Creutzfeldt-Jakob disease, MRI images are rather not utilized. By further processing brain MRI, advance CJD can be detected and pinpointed more efficiently. To have a mean of comparison, MRI scans of both a healthy patient and symptomatic patient are reviewed in this study. This paper is focused on CJD MRI analysis of head scans in order to determine caudate and putamen for identifying the existence of brain tissue using a new algorithm. To determine the difference of brain tissue between the MRI of healthy and CJD affected image with the help of pixel counting approach by analyzing the image block by block. The proposed algorithm performs to identify a CJD diseased image from a healthy image of brain MRI, image segmentation is partitioned by image preprocessing stage, image enhancement stage and pixel counting stage. To determine the parts of the brain affected by CJD, MRI scans of infected patients was taken as input. The healthy patients' scans are also later tested with the proposed program to check if the proposed algorithm produces any false positives or not.
Design and Development of a Low-Cost IoT based Environmental Pollution Monitoring System
(IEEE, 2019-01-31) Alam, Sadman Shahriar; Islam, Akib Jayed; Hasan, Md. Mahmudul; Rafid, Mohammad Nokib Monsur; Chakma, Nishako; Imtiaz, Md. Nafiz
Environment pollution is one of the foremost and crucial factors affecting lifestyles and health of human, living organisms, natural or built environment. This paper will provide a low cost environmental pollution monitoring system for monitoring the highly toxic gases like (CO2,CO,&CH4), sound pollution, temperature and dust measurements which is designed by observing users' requirement to distinguish and keep away from disclosure to air and noise pollutants. The system consists of multiple gas sensors, dust device, sound sensor and temperature sensor that are integrated into a single platform. This paper will present a brand new system that includes digital hardware for obtaining atmospheric data and software to analyze the results. The designed system can provide calibration of the sensors along with improving the optimization to preserve vitality which results in the improvement of the precision of sensor information. In addition to this, the system is connected to the web via Wi-Fi or customer's tablet or smartphone and can be interfaced to another device for the Internet of Things (IoT) based applications. This work makes an attempt to observe the quality of air and sound of a particular location and send this information to responsible people who will use this information to upgrade the standard of living of local people of that location, which is one of the first ideas about Smart City. The cost and effort of implementation is incredibly cheap and easy as the sensors and the microcontrollers are available in abundant. The online data storage system has extended the user friendly environment by modernizing all existing factors over a general server. The experimental results demonstrate the effectualness of this research work in terms of quick detection and real time response.
Design and Implementation of an Embedded System to Observe the Atmospheric Condition using a Helium Balloon
(IEEE, 2019-06-27) Alam, Sadman Shahriar; Islam, Akib Jayed; Hasan, Md. Mahmudul; Farhad, Md Mehedi
For conducting any space-related research such as surveillance and communication, launching high power rocket, geographical imaging or even space exploration, it is necessary to know the optimal weather condition at different levels of the atmosphere. One of the most commonly used methods for measuring the atmospheric conditions is using a weather balloon. Of course, this can be done by using modern-day satellite technology. But satellite, for example, provides temperature only on the land surface. As a result, it limits the possibility of providing accurate measurements on temperature profile at different levels of atmosphere or wind speed of the jet stream. An embedded system consists of different sensors is capable of providing profiles of temperature, pressure and relative humidity at different altitude with the help of a helium balloon. In this paper, we have designed and implemented a remotely controlled embedded system. The RF transmitter is linked with the sensors on board of the balloon payload, which sends the measurements back to a ground tracking antenna on a set radio frequency. The display section receives the transmitted data for further processing and acquiring graphical results. In previous research papers on this topic, there was no graphical representation of acquired weather data from the experiment where we have discussed the outcome of the experiment with graphical representation.
Design and performance analysis of a microstrip line-fed on-body matched flexible UWB antenna for biomedical applications
(IEEE, 2017-04-27) Biswas, Akash; Islam, Akib Jayed; Al-Faruk, Abdullah; Alam, Sadman Shahriar
A novel design of a microstrip line-fed flexible on-body matched Ultra-Wideband (UWB) antenna is proposed in this study. Small and flexible design along with noteworthy performance of this proposed antenna upholds its strong position amongst previous antennas of similar type and can be used for various biomedical applications. The antenna is designed to operate in the UWB (3.1-10.6GHz) frequency range where resonant frequency is at 5.93GHz. The main notability of this design refers to its subtle dimension, lower sensitivity to angular misalignments and higher fidelity that makes it perfectly fit for biomedical applications, especially in Wireless Body Area Network (WBAN). Both flexible and rigid conditions of the antenna are studied here as it needs to be tested in different mediums which will more effectively corroborate future practical implementation. Several types of calculations and performance measurements of this antenna have been completed by using CST MW studio while maintaining all the dielectric properties of human tissue. With overall dimension of 40mm × 40mm × 1.44mm, the antenna is placed upon a three-layered human phantom model to run simulation process where FR4 is used as substrate and copper is used as patch material. Performance analysis of the designed antenna is evaluated in terms of return loss, bandwidth, radiation pattern, directivity, gain, total efficiency and power analysis. Finally, Specific Absorption Rate (SAR) distribution of the antenna is analyzed to make it perfectly biocompatible for practical use.
Design and Simulation of Active and Reactive Power Control of Double-Fed Induction Generator for Wind Energy Conversion
(2017-03-11) Nadim, Fazllul Karim; Islam, Akib Jayed; Alam, Sadman Shahriar; Aleef, Tajwar Abrar; Ahammad, Khandoker Tanjim
Wind energy plays an increasingly important role in the world because it is friendly to the environment. During the last decades, the concept of a variable-speed wind turbine has been receiving increasing attention due to the fact that it is more controllable and efficient, and has good power quality. As the demand of controllability of variable speed wind turbines increases, it is therefore important and necessary to investigate the modeling for wind turbine-generator systems that are capable of accurately simulating the behavior of each component in the wind turbine-generator systems. Therefore, this thesis will provide detailed models of a grid-connected wind turbine system equipped with a doubly-fed induction generator (DFIG). In order to control the power flowing from the rotor of the DFIG and the power network, a control law is synthesized using PI controller. The performance is compared in terms of power reference tracking. The power reference tracking was smooth and overshoot was negligible at the transient points.
Design, Development and Performance Analysis of a Low-Cost Health-Care Monitoring System using an Android Application
(IEEE, 2019-06-27) Islam, Akib Jayed; Farhad, Md Mehedi; Alam, Sadman Shahriar; Chakraborty, Swarup; Hasan, Md. Mahmudul; Nesar, Md Siddat Bin
Cardiovascular disease (CVD) patients need continuous monitoring of bio-signals and regular hospital visit to improve health conditions. A portable health monitoring device can provide continuous monitoring of chronic diseases. In this paper, a low-cost health monitoring system is introduced to observe Electrocardiogram (ECG), body temperature and heart-beat. This research illustrates the use of android smartphone and Android applications to process and visualize the ECG signal, heart rate, and temperature. An android application is developed to monitor, store and share this biomedical signal data with an expert to get the fastest treatment. The system can also store the previous data to observe patient's history easily whenever necessary. The design strategy, experimental data with android apps, smartphone synchronization, real-time monitoring have been presented in this paper. The prototype can be utilized to control heart diseases for the people in the underdeveloped area.
Design, kinematic and performance evaluation of a dual arm bomb disposal robot
(2018-02-01) Islam, Akib Jayed; Alam, Sadman Shahriar; Ahammad, Khandoker Tanjim; Nadim, Fazllul Karim; Barua, Bithi
This paper presents a dual arm bomb disposal robot that is designed to assist bomb disposal unit. Bomb disposal robot has been developed by different experts around the world to make an affordable and safe device designed to be used in emergency situations. Two segmented robotic arms (3 DOF and 3 DOF) are installed on a portable base with an IP camera to dispose bomb safely and easily from distance. The proposed model is controlled wirelessly with its main function to replace human in bomb disposal operation. The unique design and notable features introduced in this prototype add a new dimension in bomb disposal technology. Simulation-based direct kinematics is used to analyze performance along with mathematical modeling of the dual arm to develop an efficient, mobile and safe bomb disposal robot.
Energy Harvesting from Dual Tone RF Signal using a Double Stage Voltage Rectifier for Wireless Power Transmission
(IEEE, 2020-01-30) Alam, Sadman Shahriar; Islam, Akib Jayed; Hasan, Md. Mahmudul; Nadim, Fazllul Karim
Energy harvesting is defined as the extraction of a micro-level of energy from an electromagnetic field. The harvested energy can be used to power up any small devices like sensors. In this paper, we have designed a circuit to harvest energy from a dual-tone signal. To transmit the maximum power from the source to load, an impedance matching network is developed. The output load resistance was optimized to evaluate the maximum efficiency for different RF signals. For RF-DC rectification, a two-stage rectifier was developed by using a non-linear diode model, as linear models are not efficient for RF-DC energy conversion.
Hand Gesture Detection Using Haar Classifier with Appropriate Skin Color, Kernal Sizing & Auto Thresholding
(2017-03-11) Alam, Sadman Shahriar; Islam, Akib Jayed; Nasrin, Nahid; Ahammad, Khandoker Tanjim
Hand gesture detection & recognition intends to detect & recognize some meaningful hand sign. It is an utmost challenge to design such intelligent human-computer interface. 3D hand gesture recognition, one of the most advanced technologies for building smart communication method with computers, has been developing an enormous research interest in computer vision, pattern recognition and human-computer interaction (HCI) system. The developing depth sensors enormously propelled different hand motion identification methodologies and applications, which were extremely restricted in the 2D area with conventional cameras. In this paper, we provided a productive method for image preprocessing and detection of certain gesture, advance classifier theory based on genetic algorithm, boosting algorithm & Fischer’s linear discriminant algorithm. Improvising the traditional preprocessing of image for gesture detection where skin color detection, kernel matrix evolution & auto-thresholding of image are the most challenging part of this thesis paper. This paper additionally displays a review of the state-of-the-art research for 3D hand motion recognition in four perspectives: 3D hand modeling, basic sensors capable for detecting hand gesture, static hand motion acknowledgment, hand direction motion acknowledgment, continuous hand gesture recognition and related applications of hand gesture.
Performance Analysis of a Microstrip Patch Antenna for Biomedical Applications
(Faculty of Electrical and Computer Engineering, CUET, 7-Feb-2019) Akbar, Md. Ali; Chakraborty, Swarup; Islam, Akib Jayed; Farhad, Md. Mehedi; Gani, Md. Manjurul
A microstrip patch antenna’s design and
Performance Analysis of Human Tissue-Embedded Antennas for Enhanced Wireless Power Transfer in Medical Implants
(IEEE, 2024-05-23) Islam, Akib Jayed; Pranta, Swapnil; Salehin, Sultanus; Das, Nobel; Shawon, Md. Raihan Ahmed; Alam, Sadman Shahriar
By developing a novel rectenna system, this study advances wireless power transmission technology for medical implants, including neurostimulators and pacemakers. With a patch antenna tuned for the 433 MHz ISM band frequency, the study painstakingly designs a biocompatible rectenna that is compatible with human flesh. The research refines the antenna design and incorporates an impedance-matching network to improve power transfer efficiency using CST Microwave Studio and ADS software. The inclusion of a nonlinear diode model, which precisely models the diode's behavior inside the rectifying circuit and optimizes the rectenna's RF-to-DC conversion process, is a novel component of this work. The antenna is positioned between the layers of skin and muscle using extensive simulations to reduce return loss and comply with specific absorption rate (SAR) safety requirements. The result of their efforts is a very effective rectenna that exhibits an approximate 84.816% RF-to-DC conversion efficiency, which represents a substantial advancement in the safe and smooth integration of wireless power technology into medical devices.