Md.jahidul islam - Academia.edu (original) (raw)

Papers by Md.jahidul islam

Energy Storage Materials, Oct 1, 2022

Quantum Journal of Social Sciences and Humanities, 2020

Announcing “war on terrorism” by United States had dire consequences upon independent Pakistani j... more Announcing “war on terrorism” by United States had dire consequences upon independent Pakistani journalists. Pakistan army has carried out several military operations against local and foreign militants those expected to be hidden in these regions. During these operations journalists were restricted from objective and free coverage and therefore they remained embedded with military in FATA. The embedding process created by the Pentagon and implemented for the first time in Iraq, was highly criticized by American citizens for not showing real casualties in Iraq war. Similarly, Pakistani journalists experienced this practice of being embedded in FATA after 9/11 attacks and the coverage went pro-military where civilian casualties were misrepresented. On one side this practice was praised by some journalists for their security and protection while on the other side it was highly criticized by public for violation of human rights. The method of analysis of choice was descriptive and expl...

Journal of Social Sciences and Humanities Review

This paper seeks to analyse the ecological problems of Bangladesh. The underlying reasons beneath... more This paper seeks to analyse the ecological problems of Bangladesh. The underlying reasons beneath the genealogical problems of ecological crises in Bangladesh are significantly connected with the legacy of colonial governmentality. This investigation discusses how marine, river, forestland, and urban ecosystems have been colonized in the Bengal Delta. It also critically investigates the impact of colonizing ecology. Colonization has crucial effects on the ecosystem. It is impossible to establish ecological justice without dealing with these problems. Our perceptions of history, progress and development are still influenced by colonial knowledge/power. As a problem-solving method of ecological crises, this paper suggests recommendations for an eco-state in Bangladesh.

Food Science & Nutrition

Robotics: Science and Systems XVIII

This paper presents a holistic approach to saliencyguided visual attention modeling (SVAM) for us... more This paper presents a holistic approach to saliencyguided visual attention modeling (SVAM) for use by autonomous underwater robots. Our proposed model, named SVAM-Net, integrates deep visual features at various scales and semantics for effective salient object detection (SOD) in natural underwater images. The SVAM-Net architecture is configured in a unique way to jointly accommodate bottom-up and top-down learning within two separate branches of the network while sharing the same encoding layers. We design dedicated spatial attention modules (SAMs) along these learning pathways to exploit the coarselevel and fine-level semantic features for SOD at four stages of abstractions. The bottom-up branch performs a rough yet reasonably accurate saliency estimation at a fast rate, whereas the deeper top-down branch incorporates a residual refinement module (RRM) that provides fine-grained localization of the salient objects. Extensive performance evaluation of SVAM-Net on benchmark datasets clearly demonstrates its effectiveness for underwater SOD. We also validate its generalization performance by several ocean trials' data that include test images of diverse underwater scenes and waterbodies, and also images with unseen natural objects. Moreover, we analyze its computational feasibility for robotic deployments and demonstrate its utility in several important use cases of visual attention modeling.

2018 International Conference on Innovation in Engineering and Technology (ICIET)

Clustering of words is the method that is used to partition the sets of words into subsets of sem... more Clustering of words is the method that is used to partition the sets of words into subsets of semantically similar words. Word clustering has crucial in many uses of natural language processing like POS tagging, spell checker, grammar checker, word sense disambiguation and many more. In this paper we propose a model by using higher order N-grams language model that is helpful for clustering Bangla word efficiently, which is based on the similarity of meaning in language and contextual. N-gram rules used to propagate various types of probabilities for different form of sentences. For implementation we also propose a system that generates different words of cluster and tested by threshold values to justify given result. By experimenting with a large corpus of the word length of Bangla sentences, our proposed model shows the accuracy approximately 89% for higher order N-gram which is quite satisfactory.

Autonomous Robots, 2021

In this paper, we propose a method to determine the 3D relative pose of pairs of communicating ro... more In this paper, we propose a method to determine the 3D relative pose of pairs of communicating robots by using human pose-based key-points as correspondences. We adopt a 'leader-follower' framework, where at first, the leader robot visually detects and triangulates the key-points using the state-of-the-art pose detector named OpenPose. Afterward, the follower robots match the corresponding 2D projections on their respective calibrated cameras and find their relative poses by solving the perspective-n-point (PnP) problem. In the proposed method, we design an efficient person re-identification technique for associating the mutually visible humans in the scene. Additionally, we present an iterative optimization algorithm to refine the associated key-points based on their local structural properties in the image space. We demonstrate that these refinement processes are essential to establish accurate key-point correspondences across viewpoints. Furthermore, we evaluate the performance of the proposed relative pose estimation method through several experiments conducted in terrestrial and underwater environments. Finally, we discuss the relevant operational challenges of this approach and analyze its feasibility for multi-robot cooperative systems in humandominated social settings and feature-deprived environments such as underwater.

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE), 2022

Wireless technology opens a wide range of research opportunities in all areas of electrical scien... more Wireless technology opens a wide range of research opportunities in all areas of electrical science, particularly in the electrical power sector. Nonetheless, it grows richer with each addition and change made by scientists and researchers. This entire project is based on Wireless Power Transmission systems, whose ultimate purpose is to transmit power in a uniform gain in a registered region. To accomplish this purpose, first, a schematic diagram was designed which has two parts. The first part is for transferring the power and the second part is for receiving the power. The power transferring part is modified as Antenna and the receiver part is Rectenna and both the antenna and rectenna were designed in CST software. A receiver circuit was designed for delivering the power which was designed in ADS software. The receiver circuit was constructed in three individual sections. They are antenna circuit, rectifier circuit, and buck converter. The resonance frequency of the system is 2.4GHz and after completing the analysis we get the output of (5.655 to 4.95) V DC in rectangular shaped patch antenna and (5.573 to 4.86) V DC in circular shaped patch antenna in (2 to 60) meter. In addition, we tried to figure out which antenna provides better output by differentiate the shape of the antenna. The project’s primary goal is to transmit power to a focused area and also determine the estimated cost, health concerns, and repercussions in terms of social, political, and technological factors.

Social Science Research Network, Nov 14, 2019

Journal of Advanced Veterinary and Animal Research, 2021

Objective: Duck virus enteritis is a severe viral disease that kills ducks and swans worldwide. T... more Objective: Duck virus enteritis is a severe viral disease that kills ducks and swans worldwide. The clinical manifestations, gross pathology, molecular detection, and characterization of the duck virus enteritis virus (DVEV) in Australian black swans at a safari park in Bangladesh were described in this case report. Materials and Methods: On a safari park in Bangladesh, an Australian black swan flock exhibited clinical signs of anorexia, greenish watery diarrhea, increased thirst, partial paralysis, and death. Postmortem examinations of deceased swans revealed extensive pathological abnormalities in the trachea, liver, and spleen. To isolate DVEV, a viral inoculum produced from the liver and spleen of dead swans was implanted into 9–13-day-old embryonated duck eggs via the chorioallantoic membrane (CAM) route. DVEV was confirmed using a polymerase chain reaction (PCR) assay. Phylogenetic analysis was used to determine the genetic relationship between the DVEV isolates from Australia...

Chemosphere, 2022

Chronic exposure to arsenic via drinking water is a serious public health issue in many countries... more Chronic exposure to arsenic via drinking water is a serious public health issue in many countries. Arsenic causes not only cancers but also non-malignant diseases, including asthma. We have previously reported that arsenic exposure increases the risk of Th2-mediated allergic asthma. The serum level of periostin, an extracellular matrix protein activated by Th2 cytokines, is recognized as a biomarker for Th2-mediated eosinophilic asthma and contributes to enhanced airway inflammation and remodeling. However, the role of periostin in arsenic-related asthma is unknown. Therefore, this study was designed to explore the associations of serum periostin levels with arsenic exposure and the features of asthma in 442 individuals in Bangladesh who participated in our previous study. Exposure levels of the participants were determined by measuring the arsenic concentrations in drinking water, hair, and nails through inductively coupled plasma mass spectroscopy. Periostin levels in serum were assessed by immunoassay. In this study, we found that serum periostin levels of the participants were increased with increasing exposure to arsenic. Notably, even the participants with 10.1-50 μg/L arsenic in drinking water had significantly higher levels of periostin than participants with <10 μg/L of water arsenic. Elevated serum periostin levels were positively associated with serum levels of Th2 mediators, such as interleukin (IL)-4, IL-5, IL-13, and eotaxin. Each log increase in periostin levels was associated with approximately eight- and three-fold increases in the odds ratios (ORs) for reversible airway obstruction (RAO) and asthma symptoms, respectively. Additionally, causal mediation analyses revealed that arsenic exposure metrics had both direct and indirect (periostin-mediated) effects on the risk of RAO and asthma symptoms. Thus, the results suggested that periostin may be involved in the arsenic-related pathogenesis of Th2-mediated asthma. The elevated serum periostin levels may predict the greater risk of asthma among the people living in arsenic-endemic areas.

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE), 2021

Gastric cancer (stomach cancer) is now the sixth most common diagnosed cancer and the third leadi... more Gastric cancer (stomach cancer) is now the sixth most common diagnosed cancer and the third leading cause of cancer mortality in the world. Gastric Erosion, Gastric Ulcer, and Stomach Polyp are examples of Gastric Precancerous Diseases (GPDs) that can lead to gastric cancer if not recognized early or misdiagnosed. Classifying these GPDs is a difficult task. Undoubtedly, Deep learning networks (DNNs) have shown to be effective in solving the challenge of image categorization. Next to practical difficulty is the limitation of the availability of medical images for DNN training. In this paper, a hybrid model is proposed to classify GPDs. The model is a combination of Convolution Neural Network (CNN) Gastric Precancerous Diseases Feature Extractor Network (GPDFENet) for feature extraction and Support Vector Machine (SVM) for classification. An open dataset “Data-Open-Access4PLoS-One” including erosion, ulcer, and polyp endoscopic images were utilized to train the network. After evaluation, the network is then compared to various pre-trained networks such as AlexNet, ResNet-50, ResNet-101, and Inception V3. The proposed model (GPDFENet+SVM) has achieved an accuracy of 93.22%.

This paper presents a robust and computationally efficient method for human detection and trackin... more This paper presents a robust and computationally efficient method for human detection and tracking. The unique feature of this method is that it has dedicated threads for human detection and camera control for human tracking. Moreover, it works with infra-red on and infra-red off. The method consists of five parts – training image acquisition, background subtraction, feature extraction, system training, and system testing. Firstly, some sample video clips have been taken with an IP camera for initial system implementation. The clips are then filtered to separate background and foreground. After that, some morphological operations are carried out to identify the most significant motion in the foreground. Those parts are cropped with some extra area and used to train a multiclass support vector machine (SVM) along with an image subset of the people detection dataset of The National Institute for Research in Computer Science and Control (French: Institut National de Recherche en Inform...

Nanomaterials, 2021

Interleukin-6 (IL-6) is an important immuno-modulating cytokine playing a pivotal role in inflamm... more Interleukin-6 (IL-6) is an important immuno-modulating cytokine playing a pivotal role in inflammatory processes in disease induction and progression. As IL-6 serves as an important indicator of disease state, it is of paramount importance to develop low cost, fast and sensitive improved methods of detection. Here we present an electrochemical immunosensor platform based on the use of highly porous graphitic carbon electrodes fabricated by direct laser writing of commercial polyimide tapes and chemically modified with capture IL-6 antibodies. The unique porous and 3D morphology, as well as the high density of edge planes of the graphitic carbon electrodes, resulted in a fast heterogeneous electron transfer (HET) rate, k0 = 0.13 cm/s. The resulting immunosensor showed a linear response to log of concentration in the working range of 10 to 500 pg/mL, and low limit of detection (LOD) of 5.1 pg/mL IL-6 in phosphate buffer saline. The total test time was approximately 90 min, faster than...

RSC Advances, 2021

With the rapid propagation of flexible electronic devices, flexible lithium-ion batteries are eme... more With the rapid propagation of flexible electronic devices, flexible lithium-ion batteries are emerging as the most promising energy supplier among all of the energy storage devices due to high energy and power densities with good cycling stability.

PLOS ONE, 2021

Multifunctional and low-cost electrode materials are desirable for the next-generation sensors an... more Multifunctional and low-cost electrode materials are desirable for the next-generation sensors and energy storage applications. This paper reports the use of pencil graphite as an electrode for dual applications that include the detection of free residual chlorine using electro-oxidation process and as an electrochemical energy storage cathode. The pencil graphite is transferred to cellulose paper by drawing ten times and applied for the detection of free residual chlorine, which shows a sensitivity of 27 μA mM-1 cm-2 with a limit of detection of 88.9 μM and linearity up to 7 mM. The sample matrix effect study for the commonly interfering ions such as NO3-, SO42-, CO32-, Cl-, HCO3- shows minimal impact on free residual chlorine detection. Pencil graphite then used after cyclic voltammogram treatment as a cathode in the aqueous Zn/Al-ion battery, showing an average discharge potential plateau of ~1.1 V, with a specific cathode capacity of ~54.1 mAh g-1 at a current of 55 mA g-1. It m...

Fundamentals and Recent Advances in Nanocomposites Based on Polymers and Nanocellulose, 2022

European Scientific Journal, ESJ, 2021

This paper encompasses a state-of-the-art review on smart manufacturing system (SMS), focusing on... more This paper encompasses a state-of-the-art review on smart manufacturing system (SMS), focusing on theoretical relevance to technology development and technology management. The theoretical foundation of technology development has been reviewed based on the Rogers’ Diffusion of Innovation (DoI) theory and technology management has been focused on the basis of Technology Strategy Model (TSM) of Rieck and Dickson to shape the paper with theory of Management of Technology (MOT). A patent on SMS has been discussed to show how different technologies are integrated into this system. The characteristics of SMS have discussed the overall aspects of this future technological system. The the global textile complex has been depicted with a proposed SMS model of the apparel production unit. This study integrates the latest articles and technology on future manufacturing system perspectives, which gives a robust idea of mintegration have been identified as the major components of SMS. A brief mod...

Journal of Bangladesh College of Physicians and Surgeons, 2018

Introduction: Facial palsy is commonly treated by various physical therapy strategies and devices... more Introduction: Facial palsy is commonly treated by various physical therapy strategies and devices, but there are many questions about the profile of patients with facial nerve palsy. The aim of the study was to outline profile of patients with facial palsy receiving Physiatric management.Materials and Methods: A retrospective hospital recordsbased study was carried out at the department of Physical Medicine and Rehabilitation (PMR) in National Institute of Neurosciences and Hospital (NINS&H), Dhaka for the period of two year from 1st July 2013 to 30th June 2015.Results: Total 5240 patients were studied, of which 58.87% were male and 41.13% were female. Maximum patients Journal of Bangladesh College of Physicians and Surgeons Vol. 36, No. 1, January 2018 (26.58%) belong to 31-40 years of age. Maximum patients (72.36%) came from Dhaka city and most of the studied patients were housewife (31.68%). Largest disease group was Bell’s palsy (56.2%). Regarding disease pattern, 61.18% of pati...