Dr. Mohiuddin Ahmad | Khulna University of Engineering & Technology (original) (raw)

Papers by Dr. Mohiuddin Ahmad

Journal of engineering science, Jan 29, 2024

A well-planned health monitoring system is essential for the modern health center, and a portable... more A well-planned health monitoring system is essential for the modern health center, and a portable remote health monitoring system with many intellectual features is becoming a great improvement in healthcare arrangements. The proposed system includes various microelectronics medical devices and applications that come through network-connected devices and help to monitor patient's real-time medical data. In this paper, the patient's health condition has been monitored by using the four types of major health parameters, namely, temperature sensor, heart pulse rate sensor, blood pressure sensor module, and blood oxygen (SpO2) sensor. All the sensor nodes are connected to the Raspberry Pi-based embedded system. The real-time health data are recorded, stored, and transmitted to the doctor via the internet with the help of a Raspberry Pi-based embedded system and IoT server. The system will benefit the patient from remote areas with quick diagnosis, remote observation, home observation, and a medical data storage system.

International Journal of Advanced Computer Science and Applications, 2018

In Android OS users find it very difficult to understand and comprehend its permission mechanism.... more In Android OS users find it very difficult to understand and comprehend its permission mechanism. Frequently, users tend to ignore permission negotiations dialogs during installation of an application. Users, who pay attention to the permission negotiation dialogs, find it tough to comprehend the description and evaluation of permission procedure. They do not know the impact of granting these permissions on their data. One major issue is that user is unaware about how application uses their data. He has no insight after granting permission to the application and effect of these permissions on his data's privacy and security. This research reveals that discrete permission settings are helpful for user to secure his device resources and data. This study uses a distinct technique to detect danger of unnecessary permissions. It helps end users of Android OSs to understand the problems and provides them batter way to deal with the problems and grounds to explore alternatives.

2021 IEEE International Power and Renewable Energy Conference (IPRECON), Sep 24, 2021

This paper presents the economic analysis of a gridtied rooftop solar PV system with a net meter ... more This paper presents the economic analysis of a gridtied rooftop solar PV system with a net meter for a residential building of a university campus. The proposed PV system shows the capability to fulfill the maximum energy demand by the different flats of the building and supply overplus power to the national grid which contributes to national energy management. The methodology involves collecting the geographical site information, available useable rooftop area, solar energy resources data, load estimation, and energy consumption profile, PV module technical data, PV array sizing, calculate the profit and payback period of the system. The profit and payback period indicate the financial viability of the rooftop solar PV system. This paper also represents the amount of Carbon dioxide (CO2) reduction while generating the same amount of electrical energy from conventional fossil fuel-based power plants. The reduction of CO2 helps to preserve the environment green by reducing the production of greenhouse gases (GHGs) and global warming. The result of this analysis shows the rooftop solar PV system is economically viable and helpful to a clean environment.

IEEE Conference Proceedings, 2016

Support Vector Machine (SVM) is one of the most popular machine learning algorithms for pattern r... more Support Vector Machine (SVM) is one of the most popular machine learning algorithms for pattern recognition of a specific dataset. The percentage of accuracy from a defined SVM model greatly depends on the selection of appropriate attributes for SVM model. But the most effective attributes selection for SVM algorithm is one of the most difficult tasks for any kind of data classification. A mathematical model is proposed in this paper through which effectiveness of attributes for SVM model can be calculated. The validity of this SVM model is justified by comparing the effectiveness of a SVM model with the rate of pattern recognition for corresponding SVM model. Linear, Radial Basis Function (RBF), Polynomial Kernel SVM algorithms are used for pattern recognition. The percentage of accuracy of pattern recognition increases with the effectiveness of SVM model. The range of value of effectiveness of SVM model is 0 to <x. We have tested our proposed algorithm for noninvasive Brain Computer Interface (BCI) system. The proposed mathematical model is applicable for any other linear or nonlinear system.

Transportation Research Board 94th Annual Meeting, 2015

ABSTRACT Measurement of field permeability of asphalt pavement is affected by 3-D flow, saturatio... more ABSTRACT Measurement of field permeability of asphalt pavement is affected by 3-D flow, saturation and other field boundary conditions. Therefore, field permeability testing is generally avoided for compaction quality control, mix evaluation, and/or moisture intrusion/damage evaluation of asphalt pavements. Rather laboratory permeability is used for asphalt mix (compaction) evaluation. Given the fact that most of the transportation agencies and paving contractors collect field cores for compaction and mix quality evaluation, an analytical model to predict field permeability can be very useful in the study of hydraulic conductivity of field pavements. To this end, this study attempts to develop an analytical model to determine field permeability of asphalt pavement using laboratory testing parameters of asphalt cores. In essence, an analytical model is developed in this study to determine field permeability from laboratory permeability and permeable pores of cores. Permeability and permeable porosity of two different sizes of asphalt cores are determined in the laboratory using a falling head permeameter modified with a salt concentration-measuring meter. These parameters are then used in the analytical model to predict field permeability. Model predicted values are found to compare reasonably well with the full scale field permeability values. The results of the analytical model are compared with the results from existing models, and the developed analytical model shows an improvement over the existing models. This model can be a useful tool in the study of asphalt’s hydraulic behavior.

The Journal of Engineering Research, Aug 1, 2016

Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016

This study evaluates the effects of moisture conditioning on chemical composition and mechanical ... more This study evaluates the effects of moisture conditioning on chemical composition and mechanical properties of asphalt concrete. In addition, how chemical changes affect the mechanical properties of asphalt is evaluated. Moisture conditioning is conducted using the AASHTO T 283 procedure and recently developed Moisture Induced Sensitivity Testing (MIST) device. Chemical analysis is performed using the Fourier Transform Infrared (FTIR) device and the mechanical testing is performed by beam fatigue testing, and a Dynamic Shear Rheometer (DSR). Results show that binder aging occurs while moisture conditioning. Moisture conditioning causes changes in six functional molecular groups of an asphalt binder. These changes are different for different conditioning procedures as well as degree of conditioning. It is observed that aging due to Sulfonate group (S=O) causes an increase in modulus and fatigue life. However, aging due to Carbonyl group (C=O) causes an increase in modulus but a decrease in fatigue life. It is also observed that Saturate (C-C) has the highest impacts on the asphalt binder properties.

Neural Computing and Applications, Jun 30, 2018

Hands are the main environmental manipulator for the human being. After losing a hand, the only a... more Hands are the main environmental manipulator for the human being. After losing a hand, the only alternative for the victim is to use a prosthesis. Despite the progress of science, the modern prosthesis has the same age-old problem of accurate force estimation. Among different kinds of force, clench force is the most important one. Because of this importance, this paper presents a hardware system that has been designed and implemented to estimate the desired clench force using surface Electromyography signals recorded from lower-arm muscles. The implementation includes a two-layer artificial neural network with a surface electromyography integrator. The neural network was trained with the Levenberg-Marquardt back propagation algorithm and was implemented in a field programmable gate array using an off-chip training method. The results from 10 datasets, recorded from five subjects, show that the hardware model is very accurate, with an average mean square error of 0.003. This suggests that the proposed design can mimic the behavior of clench force that a real limb does, and therefore this intelligent system could be a useful tool for any application related to prostheses. Keywords Artificial neural network Á Biomedical electronics Á Biomedical equipment Á Biomedical signal processing Á Field programmable gate arrays Á Prosthesis & Sheikh Shanawaz Mostafa

Electromyography is a method for recording electrical activities of the muscle for different clin... more Electromyography is a method for recording electrical activities of the muscle for different clinical and nonclinical tasks. For extracting more information, integrated electromyography is commonly used than the raw electromyography. This paper presents the design and implementation of integrated electromyography both in software and hardware. Software was implemented in Matlab due to easier implementation whereas hardware was designed on Field Programmable Gate Array (FPGA) due to low cost and flexibility. It can be seen that, the integrator works like a moving average window filter and a hundred-point window size is chosen in the integrator design. To verify the method, real surface electromyography data was collected and used. The mean error between software (Matlab) and hardware is 5.8288e-08 and the correlation coefficient is 1.

Procedia - Social and Behavioral Sciences, Jul 1, 2015

With the rapid development of medical technology for the last 30 years the clinical engineering p... more With the rapid development of medical technology for the last 30 years the clinical engineering practice was introduced in developed countries. But in developing countries, such as Nepal, Bangladesh, Malaysia and so many, this profession is totally a new concept. The medical equipment in the most developed countries is maintained by the clinical engineers whereas in developing countries like Nepal, Bangladesh and Malaysia are maintained by unskilled professional. A series of publication indicate that a lot of sophisticated modernized costly medical equipment could not be kept in a safe and optimum functional condition through the traditional short-trained electrical/mechanical engineers. This paper explores the importance of clinical engineering practice in developing countries of south Asia and its benefits for healthcare service. In this paper, authors propose a novel method for clinical engineering practice for the developing countries to sustain safe use and economical maintenance. This method will not only increase the clinical engineering practice but also help to get optimum feedback through clinical engineers. It should be noticed here that the different developed countries are producing and introducing clinical engineers in health care technology management in different ways, but those methods seem to not be suitable for the developing countries like Bangladesh based on the country contexts. The proposed method will change the health services top level managers and users of the medical equipment. It is ascertained that the performance of the health care technology will be improved by introducing this professional in the hospitals. This study will be much worthy to produce and introduce clinical engineers in order to improve the existing performance of healthcare services in developing countries like Bangladesh significantly.

International Journal of Pavement Engineering, Aug 8, 2016

Millings or old pavement materials (also known as reclaimed asphalt pavement) are used in pavemen... more Millings or old pavement materials (also known as reclaimed asphalt pavement) are used in pavement base and surface course mostly for rehab and reconstruction processes. Millings can also be used in pavement maintenance such as chip seal. However, it is not known whether chip seal with millings are cheaper than chip seal with virgin chips considering their lifetime performance. In this study, life cycle cost of chip seal with and without millings was determined from data gathered by surveying three transportation Districts in New Mexico. Performance plot over time was used to evaluate the benefit and cost-effectiveness index (EI). For all districts, chip seal with millings has higher EI compared to chip seal with virgin aggregates. Processing of millings Once the millings are collected, they are screened using a portable screen as shown in Figure 2. This screen uses two screens to get single size chips. Usually, 3/8 in. and 1/2 in. sieves are used. Thus, all aggregates are greater than 3/8 in. and less than 1/2 in.

In this paper, a new security system is proposed based on human computer interface by using Elect... more In this paper, a new security system is proposed based on human computer interface by using Electrooculography (EOG) signal keeping concentration on physically disabled people. Nowadays security is the main concern in every sector of our life. Most of the system requires a secret password to get access of the system under protection. In our work, a password based security system is proposed where password can be given by eye via EOG signal. The EOG interface detects the eye movement through electrodes placed on the face around the eyes. A unique pattern of EOG signal obtained by eye movement in certain directions can give the most secure password. An algorithm is proposed to detect the eye movement and extract the features of EOG signal. These features are further used to recognize the pattern for password using string matching technique. This system can be used as an added feature of EOG based assistive system. This is an offline approach which is highly accurate and reliable.

Bioengineering, Mar 26, 2023

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

An electrocardiogram (ECG) is the easiest and most reliable way to understand Left Ventricular Hy... more An electrocardiogram (ECG) is the easiest and most reliable way to understand Left Ventricular Hypertrophy (LVH), which leads to many other cardiovascular diseases at the initial stage. However, LVH can develop silently over several years without any symptoms, and it is not easy to diagnose LVH even with renowned methods and many other proposed theoretical approaches because of its interrelated nature. Utilizing ECG/EKG data availability, the authors have proposed a classifier using Support Vector Machine (SVM). Here the SVM classifier is a re-fabrication of the Combine Cornell-Sokolow (CCS) methodology, and the classifier has the effectiveness of over 90% detecting LVH in complex cases. Training variation constructs different models with various accuracies, but balance training can achieve quite admissible results. The paper will delineate the training procedure and discuss the findings in it. The study will also have concerned about EGC signal pre-processing, data processing, and feature detection in its path. Any electronic diagnosis system can utilize this research’s classifier to distinguish LVH among complex cases. The classifier can identify LVH cases continuously because of its computation manner, even where an expert physician is unavailable.

This paper aims to assess the potential of Long Short Term Memory (LSTM) ensembled networks for s... more This paper aims to assess the potential of Long Short Term Memory (LSTM) ensembled networks for short-term load forecasts (STLF) over other conventional neural networks on utility-scale load demand. The study shows that LSTM ensembled networks perform substantially better than other conventional neural networks. For this study, the LSTM network has been used as the primary benchmark against which our ensemble strategy was thoroughly assessed since our proposed network is merely an extension of LSTM networks. An improvement of 0.04% for hour-ahead forecasts and 0.14% for the day ahead forecasts had been observed for the LSTM ensembled approach. However, the error increased 2.377% for the ensembled approach and 2.47% for the LSTM approach for day-ahead forecasts. Although LSTM networks have been found out to be more efficient than other conventional neural networks, LSTM ensembled techniques can improve the efficiency even further. The significant error reduction capability of the LSTM ensembled network compared to the LSTM network carries the potential to save utilities 224000 dollars for the day ahead forecasts and 64000 dollars for an hour ahead forecast. Moreover, it can play an even more efficient role compared to the other conventional neural network strategies that are widely established.

Abstract Cranial ultrasound scans are very essential part of the routine investigation of neonata... more Abstract Cranial ultrasound scans are very essential part of the routine investigation of neonatal intensive care. The scan ultrasound image sequence are not only used for real-time diagnosis but also recorded for future diagnosis. In this paper, we analyze and ...