Browsing by Author "Rahman, Md. Abdur"

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A Study on Voip
(2014-08-04) Hasan, Md.; Rahman, Md. Abdur
For many years, voice over internet protocol (VoIP) has held the promise of enabling the next generation of voice communication within the enterprise. In this project paper we discuss about “The Study of VOIP “. The study of voice over internet protocol includes the fundamentals of VoIP, including two techniques of voip that is H.323 and SIP. This two standards currently complete for the domains of IP telephony signaling: the H.323 protocol suite by ITU-T, and the Session Initiation Protocol (SIP) by IETF. Both of this signaling protocol provides mechanisms for call establishment and teardown, call control and supplementary services, and capability exchange. We also study the comparisons of these two protocols in terms of Functionality, Quality of Service (QoS), Scalability, Flexibility, Interoperability, and Ease of Implementation. We also discussed briefly on two gateway control protocol, one is MGCP and another is H.248. We highlighted about the voice over internet protocol in Bangladesh. Finally we consider the best protocol on voice over internet protocol is session initiation protocol in terms of ease of customization, protocol encoding and ease of installation as companied to other protocol.
A survey into COVID-19 Induced Pneumonia Detection and Feasibility of using UWB Medical Imaging
(Publisher: American International University-Bangladesh (AIUB), 2021-09-23) Alam, Nowshin; Rahman, Md. Abdur
This paper presents a survey into the currently thriving research on using machine learning for COVID-19 induced pneumonia detection through the use of radiographic scans, presents a brief review of the methodologies and assesses the classification results, and finally presents an alternative in the form of ultrawideband (UWB) imaging. Few works on UWB imaging is investigated and used as a source of inspiration for developing an UWB imaging system for detection of accumulation of fluid in lungs. The goal is to extract information about dielectric property variation from backscattered UWB signals to detect pneumonia caused by COVID-19. An edge fed Vivaldi antenna along with a multilayer planar model for lung is simulated in CST microwave studio and subjected to UWB excitation. The backscattered signals in the form of S-parameters are analyzed with various Delay-and-Sum (DAS) algorithms and images are constructed for lung tissues of different permittivity and conductivity, where higher values are supported to allude to the infected lungs.
An Efficient Short Term Load Demand Forecasting Using a Novel Parallel CNN-BiLSTM Hybrid Neural Network for Bangladesh Perspective
(Department of Electrical and Electronic Engineering(EEE), Islamic University of Technology(IUT),, 2022-05-30) Rahman, Md. Abdur; Hossain, Al-Amin; Jawad, Tahmid
STLF (Short Term Load Forecasting) has traditionally become one of the most crucial, delicate, and precise demanding variables in energy systems. An efficient STLF enhances not only the financial feasibility of the system, but also its safety, consistency, and dependability in performance, allowing for the realization of a prospective Smart Electricity System. The state-of-the-art models exhibit significant nonlinearity in load information from available projections, as well as limited applicability in real-world circumstances. However, for real-world application, the energy forecasting area requires better resilience, improved prediction accuracy, and adaptability capacity. The study given in this paper supports the case for a hybrid strategy, in which the complimentary qualities of several cognitive methodologies are merged to provide a superior solution to the STLF problem. The deep learning models for STLF integrated with statistical techniques are presented in this paper for an accurate load forecasting. Temperature, humidity, and day type are all taken into account since they have a substantial effect on the overall performance of an appropriate STLF. The load demand data has been collected from the PGCB database, the weather data has been collected from the rp5 archive and the holidays are considered from the government calendar which excludes the data collection part of our research. The data refinement process has been done where many preprocessing techniques are applied on the raw data. With the proper data analysis and scaling the further process fed into the deep learning models where the training, validation and testing were done. In terms of computing complexity and prediction accuracy, the suggested model outperforms the prior hybrid models. The proposed technique of our methodology against existing power prediction information reveals that it performs better in terms of precision and accuracy. The evaluation has been done considering the Mean Absolute Percentage Error (MAPE) and R-squared score which outperforms the existing literature reviews. When compared to existing baseline models, the suggested technique had the lowest error rate on the Power Grid Company Bangladesh dataset.
An Online E-Commerce Business Platform
(Daffodil International University, 22-09-13) Rahman, Oliur; Rahman, Md. Abdur
As the day goes on, everything is currently becoming progressively simpler for us. Examples come in a variety of forms. But if daily life's activities are a meaningful illustration. No longer markets or shopping malls needed to be visited to make purchases. Capability of instantly order it by sitting at home and clicking 2/1;no need to travel far to China or America to buy. Receiving it while at home. It is known as e-commerce. Additionally, the project uses this cutting-edge e-commerce. With this initiative, sought to demonstrate how much more can be made accessible to people and made easy. A very attractive user interface, detailed product presentations, a shopping cart system, a payment system, etc. are what we mean by advanced e-commerce. Every effort to ensure that a typical buyer could navigate the website, comprehend everything, and quickly buy a product. Simplify complex systems for easy comprehension work is being done. Solving a great deal of problems. Overcome any challenges that do arise in the future.
Brain Tumor Detection by Kapton Polyimide Based On-Body Patch Antenna in K Band
(IEEE, 2023-03-21) Eshan, Sumit Hassan; Hasan, Raja Rashidul; Sarker, Abdullah Al Mamun; Zabin, Sadia; Tusher, Raja Tariqul Hasan; Rahman, Md. Abdur
This paper is all about to design an antenna for brain tumor detection using a novel material Kapton polyimide. A brain tumor, which has the potential to spread throughout the body and result in cancer, is one of the worst disorders. Using a novel material and observing variation in the S1,1 parameter to spot brain cancers is the main objective of this paper. An on-body microstrip patch antenna constructed in the K band and a three-size brain tumor in a brain phantom model were employed to identify the existence of brain tumor. This antenna can operate between 4 and 14 GHz. The resonance frequency of the proposed antenna was discovered to be 12.96 GHz in free space. A VSWR of 1.00 and −92.06 dB S1,1 was also measured in this area. S1,1 is −49.93 dB at 8.58 GHz in the Normal Brain and −40.51 dB at 11.87 GHz in the Tumor Affected Brain.
Comparative Analysis of Program Outcomes Achievement between Face-to-Face and Virtual Classes during COVID-19 Pandemic
(AIUB Journal of Science and Engineering (AJSE), 2021-04-20) Ali, M Tanseer; Rahman, Md. Abdur; Lamagna, Carmen Z.
Outcome based engineering education is a paradigm shift from traditional knowledge-based education to modern skill-based education. After the Washington Accord, the engineering education all over the world has adopted the new pedagogy for Engineering Education. But last year, after the hit of COVID – 19 pandemics, most of the education system has to move online. The online education platform raised a new challenge for Outcome Based Education. In this paper, the effect of Online education on OBE implemented B.Sc. in Electrical and Electronic Engineering program has been analyzed and the attainment performance of the Program Outcomes has been presented. With this empirical evidence it has been demonstrated that with careful implementation and encouragement OBE can achieve its potential even with Online education.
Comparative Analysis of Program Outcomes Achievement between Face-to-Face and Virtual Classes during COVID-19 Pandemic
(AIUB Journal of Science and Engineering (AJSE), 2021-04-20) Ali, M Tanseer; Rahman, Md. Abdur; Lamagna, Carmen Z.
Outcome based engineering education is a paradigm shift from traditional knowledge-based education to modern skill-based education. After the Washington Accord, the engineering education all over the world has adopted the new pedagogy for Engineering Education. But last year, after the hit of COVID – 19 pandemics, most of the education system has to move online. The online education platform raised a new challenge for Outcome Based Education. In this paper, the effect of Online education on OBE implemented B.Sc. in Electrical and Electronic Engineering program has been analyzed and the attainment performance of the Program Outcomes has been presented. With this empirical evidence it has been demonstrated that with careful implementation and encouragement OBE can achieve its potential even with Online education.
Coping strategies in riverbank erosion affected areas: A case study of Andharmanik village in Manikganj district.
(BRAC University, 2022-03) Rahman, Md. Abdur; Ghani, Shams Mansoor
Bangladesh is considered to be the biggest delta in the world. It is crisscrossed by the Ganges, Brahmaputra, and the Meghna river system and their branches and distributaries. It is also considered to be one of the most disaster-affected countries in the world. In Bangladesh, there are few disasters that visit every year. Among them, flood and river erosion is a very common disastrous event. Each year thousands of people lose their crops, houses, livelihood, homestead land, cultivable land, and become homeless. Road, embankments, schools, mosques hospitals, and other rural infrastructures are damaged and eroded away due to river erosion. The erosion affected people migrate to cities or nearest town and they live in the urban slum areas. Some major effects due to the riverbank erosion are- displacement of people from one place to another, the effect on public health, educational structure, people's occupation and livelihood, unemployment rate increases, affect in agricultural production, transportation, etc. The major causes of riverbank erosion are flooding, deforestation, heavy rainfall, unplanned settlement, land use, the strong current of the river, over clearing of the catchment, gravel extraction, and poor river management. This study tried to explore the local people coping strategies with riverbank erosion of Andhermanik village in Harirumpur Upazila of Manikganj district. Primary and secondary data were used in the study. The data were collected by questionnaire survey, key informant interview, focus group discussions, and field observation. The results of the study showed that people tried to adapt with the adverse situation by their own techniques. People have experienced erosion more than two three times. The practiced coping strategies were composed into physical, economic, and social strategies. Physical strategies include evacuation, relocation, and migration. They also adopted housing-related coping strategies like selling, dismantling, shifting to new areas. Economic coping strategies include changing occupation, borough or loan money, opening business, etc. Household’s ability to adapt with river erosion depends on people’s socioeconomic and environmental conditions, such as education, income, and occupation. Though river erosion causes the loss of lives and properties, people’s indigenous coping techniques could significantly reduce their vulnerability without outside assistance. Effective early warning systems integrate local coping practices with modern technology and sustainably improve socioeconomic conditions are necessary to reduce the losses from riverbank erosion.
Design & Implementation of Web-Based Student Convenient Software by Using PHP, MySQL & Laravel
(International Islamic University Chittagong, 2024-06) Rahman, Md. Abdur; Islam, Md. Tafhimul
This project explores the conception, development, and implementation of an advanced web application aimed at enhancing student convenience in learning environments. It utilizes MySQL, PHP, and the Laravel framework to create a reliable platform with features such as an intuitive interface, secure authentication, dynamic content management, and efficient interaction with a MySQL database. The project emphasizes Laravel's MVC architecture for code structure and maintainability, incorporating a systematic approach to requirements analysis, system design, and development. Prioritizing security, the project implements safeguards to protect user information. It also assesses scalability, extensibility, and future improvements to meet evolving student needs. Thorough testing ensures the application's reliability and functionality in real-world scenarios, ultimately contributing to the advancement of web-based apps tailored to the unique requirements of students. The integration of PHP, MySQL, and Laravel enhances the application's functionality, scalability, and security, making it a valuable tool for academic institutions seeking to improve the overall student experience in the digital age.
Design and Analysis of a Virtual Synchronous Generator Control Scheme to Augment FRT Capability of PMSG-Based Wind Turbine
(Advances in Science, Technology and Engineering Systems Journal, 2022-12) Prema, Heera Jahan; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Rahman, Md. Abdur
Massive integration of inverter dominated renewable energy systems (RESs), i.e., wind turbines (WTs), reduces the reliance on conventional alternator-based power stations. The system inertia and damping aspects of the power system were significantly decreased by this extensive integration of inverter-based WT system, which impacts on the fault ride-through (FRT) competence and thus precipitates the frequency instability. Modern grid code instructed to operate the WT system similar like conventional power plants. However, most of the conventional inverter controller failed to fulfil the requirement. To compensate for the issues, an advanced control method of a VSG for variable speed wind turbines with a permanent magnet synchronous generator (VSWT-PMSG) is proposed by this work. The proposed control scheme mimics the behavior of a conventional alternator and includes an active-power frequency control scheme with a governor model accompanied by an automatic voltage regulator (AVR) model, along with a current feedback loop system which enhance the system inertia and consider damping aspects of the system during serious fault conditions, i.e., three line to ground (3LG) fault. The suggested VSG-based inverter controller’s functionality has been verified using the simulation model.
Design and Implementation of Solar PV Operated E-Power Tiller
(2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2023-01) Sagor, Abidur Rahman; Mridul, Towfiq Mahmud; Bhuiyan, Md. Mosaraf Hosen; Mridha, Faisal Ahmad; Hazari, Md. Rifat; Rahman, Md. Abdur
The purpose of the paper is to design a Solar PV Operated E-Power tiller for agriculture use. The design of an electrically driven Solar PV Operated E-Power tiller has three primary purposes, the first of which is to reduce the quantity of fuel used; the second of which is to maintain a pollution-free environment, and the third of which is to avoid a price increase. The results of this study will also help in the development of a prototype for a portable charging station, which will be put to use in order to keep the tractor's battery charged. In order to carry out this project, two brushless DC (BLDC) motors, each of which has 1.34 horsepower, were used. A lithium-ion battery served as the only source of power for the motors. In full running condition, the battery can provide backup for up to 5 hours. The speed of the shaft on the power tiller cultivator is 339.23 rpm. This system is equipped with the necessary brakes, steering controls, and controls for the pace at which the cultivator blades rotate. Both the structural design of this and the simulation of the system were done in MATLAB Simulink. Solidworks was used for the structural design. The system functioned without any issues, and the information that was gathered fell within the parameters of what was considered to be acceptable in relation to the standards that had been established.
Dynamic Analysis of Grid-connected Hybrid Wind Farm
(International Journal of Power Electronics and Drive System(IJPEDS), 2023-06) Akanto, Jannatul Mawa; Islam, Md Kamrul; Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Rahman, Md. Abdur
Since the last couple of years, the expansion of grid-connected wind farms (WFs) has increased dramatically. The wind turbine might be a fixed-speed squirrel cage induction generator (FSWT-SCIG) or a variable speed wind turbine with a doubly-fed induction generator (VSWT-DFIG). The main disadvantage of FSWT-SCIG is its lack of ability to adjust power quality. Inversely, the VSWT-DFIG is a competitive wind turbine technology that allows for the effective management of both active and reactive power outputs. Moreover, it has some extraordinary functionaries rather than FSWTSCIG. However, the major downside to this system is that it only has a partial rating AC/DC/AC power converter, which is extremely expensive. Hence, to reduce the overall cost combining the implementation of VSWT-DFIG and FSWT-SCIG in a WF could be a feasible alternative. Therefore, a novel DFIG control technique is proposed in this article, which can keep the connection point voltage of the hybrid WF stable during dynamic analysis. To evaluate the proposed controller responses PSCAD/EMTDC software has been used.
Dynamic Analysis of Grid-Connected Hybrid Wind Farm
(Institute of Advanced Engineering and Science (IAES), 2023-06) Akanto, Jannatul Mawa; Islam, Md. Kamrul; Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Rahman, Md. Abdur
Since the last couple of years, the expansion of grid-connected wind farms (WFs) has increased dramatically. The wind turbine might be a fixed-speed squirrel cage induction generator (FSWT-SCIG) or a variable speed wind turbine with a doubly-fed induction generator (VSWT-DFIG). The main disadvantage of FSWT-SCIG is its lack of ability to adjust power quality. Inversely, the VSWT-DFIG is a competitive wind turbine technology that allows for the effective management of both active and reactive power outputs. Moreover, it has some extraordinary functionaries rather than FSWTSCIG. However, the major downside to this system is that it only has a partial rating AC/DC/AC power converter, which is extremely expensive. Hence, to reduce the overall cost combining the implementation of VSWT-DFIG and FSWT-SCIG in a WF could be a feasible alternative. Therefore, a novel DFIG control technique is proposed in this article, which can keep the connection point voltage of the hybrid WF stable during dynamic analysis. To evaluate the proposed controller responses PSCAD/EMTDC software has been used.
Dynamic analysis of grid-connected hybrid wind farm
(International Journal of Power Electronics and Drive Systems (IJPEDS, 2023-06-17) Akanto, Annatul Mawa; Islam, Md Kamrul; Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Rahman, Md. Abdur
eDoctor: an online medical service
(BRAC University, 2024-01) Hossain, Ahmad; Rahman, Md. Abdur; Hossain, Muhammad Iqbal
The COVID-19 situation has demonstrated the value of telemedicine in healthcare. During the pandemic it was not safer to visit a hospital physically therefore telemedicine has played a vital role on improving the standard and accessibility of healthcare. Telemedicine refers to the provision of medical services remotely using a telecommunications network. Most of the rural people of Bangladesh doesn’t get appropriate medical service. To address this issue and deliver better healthcare a telemedicine web application called eDoctor, is created. Through this platform, patients can schedule online consultations with healthcare providers, access health records, and manage prescriptions. The eDoctor will help patients with shorter consultation wait times and greater convenience for rural people. Additionally, it will optimize healthcare resources by reducing the need for physical infrastructures.
Environmental Impacts on Knee Osteoarthritis and It’s Sustainable Management using Therapeutic Agents
(University of Rajshahi, Rajshahi, 2018) Hossain, Md. Shahadat; Rahman, Md. Redwanur; Rahman, Md. Abdur
Osteoarthritis (OA) of the knee is the most common form of joint disease. It is one of the major causes of impaired function that reduces quality of life (QOL) worldwide. To evaluate the association between Environmental Impacts (weather, occupation, posture, age, sex, obesity, exercise, sports, diet, demographic, joint injury, hormone, bone density etc.) and knee pain among individuals with osteoarthritis (OA) (n=299). This prospective study evaluated men and women, aged 40 to 80yr, participating in a community-based, osteoarthritis exercise study (June 2012–June 2016). Weekly selfreported pain scores were collected using a visual analogue scale. Statistical tests, including regression and correlation analyses, were conducted. P values<0.001 were considered significant. To compare the effectiveness of sustainable management using different therapeutic agents (swimming exercise, quadriceps stretching exercise, mobilization exercise, deep transverse friction massage with hot pack). The mean temperature was 23°C with a low of 4°C and a high of 40°C. Most associations explored produced non-significant findings. However, among women with knee OA, higher pain was significantly associated with days of rising barometric pressure (P<0.001). While some associations were suggestive of a relationship, largely these findings indicate that weather is quite modestly, if at all, associated with pain from OA. Some occupational activities increase the risk of knee OA, although the influences of publication bias and heterogeneity are important limitations of this study. Both aerobic walking and home based quadriceps strengthening exercise reduce pain and disability from knee osteoarthritis but no difference between them was found on indirect comparison. Obesity was also significantly associated with knee OA There was no statistically significant interaction effect between BMI and gender, age or any of the other confounding variables. A moderate correlation was found between joint displacement detection threshold and age (r = 0.557 and r = 0.625 for the right knee and the left knee, respectively). The threshold was substantially and significantly different between the OA patients and the elderly controls.------
Evaluating the Impact of Green Hiring on Sustainable Performance through the Mediating Role of Green Performance Management and Compensation: A Study on the Pharmaceutical Industry of Bangladesh
(Daffodil International University, 2025-07-21) Rahman, Md. Abdur
The global green movement has been driven by the desire to protect the environment. Protecting natural resources by lessening their adverse environmental effects and boosting sustainable performance is a growing challenge for today’s managers. In order to preserve our natural resources, greening has become essential. The study explored how green HRM practices, especially green recruiting, affect the sustainable performance of pharmaceutical companies. Data was collected using a quantitative research approach. 160 responses from pharmaceutical employees were gathered through a scaled survey. Partial Least Squares– Structural Equation Modeling (PLS-SEM) was used in the study to analyze the findings. The findings unequivocally demonstrate that green hiring plays a strong and positive role in improving social, economic, and environmental outcomes. The path coefficients test further demonstrated that green performance management and compensation significantly mediate the relationship between green recruiting and the sustainable performance of pharmaceutical companies. Organizations can use this study to assist them adopt GHRM practices that will help them across multiple dimensions. This research also provides insightful information for policymakers seeking effective ways to advance Green Human Resource Management (GHRM) and strengthen sustainability in businesses.
Experimental Analysis of Heat Transfer Improvement of Water Utilizing Double Counter Twisted Tape Insert
(Department of Mechanical Engineering, KUET, 19-Dec-2020) Hridoy, Monowar Wadud; Khan, Shawkut Ali; Ahmad, Rana; Rahman, Md. Abdur; Kadir, C.H.M. Imran
This investigation was done for improving tube side heat transfer execution by double counter twisted tape insert. The test
Hybrid and Eddy Current Belt Sensors for Quality Control of Nonferrous Scrap Metals from Municipal Solid Waste Incinerator Bottom Ash
(University of Rajshahi, 2016) Rahman, Md. Abdur; Ismail, Abu Bakar Md.; Bakker, M.C.M
The municipal solid waste (MSW) is so complex but a significant secondary source of materials. The incombustible residue after the incineration of the MSW is known as municipal solid waste incinerator (MSWI) bottom ash that is mostly a mix of organic and mainly inorganic materials as well as a significant secondary source of ferrous and nonferrous (NF) metals. However, despite the technological development of eddy current separator (ECS), the recovery of NF contents from MSWI bottom ash, size 1-6mm remains unsatisfactory where the splitter setting of an ECS machine plays crucial role for effective separation and quality control of nonferrous metals and non-metals. For effective separation and quality control of the bottom ash materials the ECS machine needs continuous adjustment of the splitter setting which is quite impractical for a manual operator as a result this thesis primarily addresses this issue by suggesting a sensor based remedy for that. Accordingly this Ph.D. thesis embodied the development of two different kinds of sensors namely hybrid sensor and eddy current belt sensor. The hybrid sensor was developed for the measurement of metal grade (G) of the ECS concentrated bottom ash materials and the measured (G) was used as a qualifier for the quality control of the bottom ash materials. Actually the hybrid sensor produces count data for metal and non-metal particles present in the ECS concentrated bottom ash stream where the hybrid sensor consists of infrared sensor (IRS) for counting all types of particles present in the stream and electromagnetic sensor (EMS) for counting only the metal particles present in the stream. A mathematical model is developed that calculates the metal grade (G) from the sensor count data with the pre-knowledge of average particle mass ratio (k) between non-metal and metal. Consequently this research first focused on design, construction and characterization of the hybrid sensor. Each sensor section is characterized individually in terms of sensitivity, repeatability and accuracy. The hybrid sensor was highly repeatable to its count data and the math model for the measurement of G was verified using the synthetic sample with known values of k i.e. were k =0.24, 0.54, 1.23 and 2.54. The same method was applied for the grade measurement of the ECS concentrated bottom ash materials with an accuracy ±2.4%. After the laboratory characterization a robust set up from the laboratory prototype of the hybrid sensor was built for functionality analyses in situ. The measurements and trends in sensor data from the laboratory and in situ for dry feed materials were quite comparable, considering the ECS machines were different and the bottom ashes came from different sources. The hybrid sensor data predicted quite accurately the trend of the metal grade of the stream of the particles with the splitter distance, which was mandatory for sensor-based control of the ECS splitter position in bottom ash processing. Afterwards this thesis presented an extended part of this sensor research that resulted another fundamental investigation on the development of an eddy current belt sensor. The purpose of the belt sensor was to identify NF scrap metals on a conveyor that could be applied for sensor sorting and quality control of bottom ash materials. The belt sensor relies on a mathematical method which is called in this thesis as conductivity approach. In conductivity approach a parameter CIF (conductivity indication factor) has been defined from where the CIF has been found as truly a function of conductivity. This thesis suggested producing a database of material CIF that was used for the identification of different materials based on conductivity. For experimental validation of the conductivity approach a set of pure sample particles S1 of Cu, Al, and Brass, each of six generic shapes i.e. disk, disk block, square plate, square block, rod, and cylinder were investigated. The test analyses for the sample set S1 showed 100% accuracy for the identification of the Cu, Al and Brass by using their average CIF values. As an application of the eddy current belt sensor another sample set S2 i.e. a representative amount of randomly mixed metal scraps of Cu, Al, Brass and Zn collected from a batch of bottom ash materials was used as a test case for the identification of different metals using their measured CIF values. As a first step towards an application of the belt sensor, the thesis also presented a logical sorting statistics of the bottom ash scraps based on their average CIF values. Moreover, the calculated and calibrated conductivity values of the metal scraps using only the belt sensor were also presented and finally some recommendations have been compiled for further advancement of sensor sorting of waste and quality control of bottom ash materials.
Impact of Intermediate Indicators on Attaining Cognitive Program Outcomes
(Journal of Engineering Education Transformations, 2024-10-31) Ali, M. Tanseer; Rahman, Md. Abdur; Mannan, Mohammad Abdul; Zishan, Md Saniat Rahman; Chisty, Nafiz Ahmed; Hossain, Chowdhury Akram
Globally, engineering education is revolutionizing through the Outcome Based Education (OBE) model. To achieve accreditation under the requirements of the Washington Accord, the Program Outcome attainment has become a focal point in the Engineering field. Attempts to introduce a new OBE-based curriculum in the Universities of Bangladesh have faced many challenges for teaching staff and students. One of the crucial tasks is to achieve the defined Program Outcomes (POs) through Course Outcomes (COs). In this paper, an intermediate relationship between POs and COs is proposed. A case study and analysis of the proposed Intermediate Indicator to attain Cognitive Domain Program Outcomes has been presented to verify the efficiency and effectiveness of the methodology. Results clearly demonstrate that the Intermediate Indicator is essential to attaining program outcomes through course outcomes.