Shaikh Muhammad Allayear

• Doctor of Philosophy
• Professor (Associate) at Daffodil International University

A wireless attack is a malicious action against wireless systems and wireless networks. In the last decade of years, wireless attacks are increasing day by day and it is now a very big problem for modern wireless communication systems. In this paper, the author’s used the Aegean Wi-Fi Intrusion Dataset (AWID3). There are two versions of this datase...

With the advancement of Internet technologies and the rapid increase of World Wide Web applications, there has been tremendous growth in the volume of digital data. This takes the digital world into a new era of big data. Various existing data processing technologies are not consistent and scalable in handling the complexity as well as the large-si...

The classification of the brain tumor image is playing a vital role in the medical image domain, and it directly assists the clinicians to understand the severity and to take an appropriate solution. The magnetic resonance imaging tool is used to analyze the brain tissues and to examine the different portion of brain circumstance. We propose the co...

The human-computer interaction has become inevitable in digital world. HCI helps humans to incorporate technology to resolve even their day-to-day problems. The main objective of the paper is to utilize HCI in Intelligent Transportation Systems. In India, the most common and convenient mode of transportation is the buses. Every state government pro...

A large array of objects is networked together under the sophisticated concept known as the Internet of Things (IoT). These connected devices collect crucial information that could have a big impact on society, business, and the entire planet. In hostile settings like the internet, the IoT is particularly susceptible to multiple threats. Standard h...

The level of patient’s illness is determined by diagnosing the problem through different methods like physically examining patients, lab test data, and history of patient and by experience. To treat the patient, proper diagnosis is very much important. Arrhythmias are irregular variations in normal heart rhythm, and detecting them manually takes a...

Background: Detecting COVID-19 pneumonia and differentiating it from community acquired pneumonia (CAP) has been a challenging task for healthcare providers since the pandemic began. We therefore aim to develop and evaluate a simple, non-invasive tool to accurately detect COVID-19 by using digital chest X-ray (CXR). Methods and Results: We performe...

The novel coronavirus 2019 (COVID-19) disease is a pandemic which affects thousands of people throughout the world. It has rapidly spread throughout India since the first case in India was reported on 30 January 2020. The official report says that totally 4, 11,773 cases are positive, 2, 28,307 recovered, and the country reported 12,948 deaths as o...

As training deep neural networks enough requires a large amount of data, there have been a lot of studies to deal with this problem. Data augmentation techniques are basic solutions to increase training data using existing data. Geometric transformations and color space augmentations are well-known augmentation techniques, but they still require so...

Microarray data are becoming a more essential source of gene expression data for interpretation and analysis. To improve the detection accuracy of tumors, the researchers try to use the lowest feasible collection of the most gene expression studies, and relevant gene expression patterns are found. The purpose of this article is to use a data mining...

The Indian subcontinent is a south geographic part of Asia continent which consists of India, Bangladesh, Pakistan, Sri Lanka, Bhutan, Nepal, and Maldives. Different rulers or the empire of different periods have built various buildings and structures in these territories like Taj Mahal (Mughal Period), Sixty Dome Mosque (Sultanate Period), etc. Fr...

We have many different types of languages and alphabets in the world, but the alphabet of each language has its own unique design. We tried to bridge between the two countries/languages by reflecting the differences in the alphabet in another language by highlighting its distinctive features. By using the two most commonly used languages like Engli...

Price hike is common and one of the major issues all over the world. The prices of daily necessities are increasing day by day. Many shops, restaurants and transport systems are charging extra price from the customers over the products’ expected or maximum retail price. Moreover, in special occasions, such as festivals, the sellers take high price...

In today’s era, most of the people are suffering with chronic diseases because of their lifestyle, food habits and reduction in physical activities. Diabetes; is one of the most common chronic diseases which is happened to the people of all ages. Diabetes complication arises in human body due to increase of blood glucose (sugar) level than the norm...

Nowadays, most of the people are suffering from the attack of chronic diseases because of their lifestyle, food habits, and reduction in physical activities. Diabetes is one of the most common chronic diseases being suffered by the people of all ages. As a result, the healthcare sector is generating extensive data containing huge volume, enormous v...

Sentiment Detection plays a vital role worldwide to measure the acceptance level of any products, movies or facts in the market. Text vectorization (converting text from human readable to machine readable format) and machine learning algorithms are widely used to detect the sentiment of users. This paper presents and evaluates a multi-level archite...

The Indian subcontinent is a southern area of Asia continent which includes India, Bangladesh, Pakistan, Nepal, Bhutan, Maldives, and Sri Lanka. In the different periods, different rulers had ruled in these territories such as the Sultanate period (1206–1526) and Mughal period (1526–1540, 1555–1857). In addition, various ancient and heritage struct...

Day by day Indoor Agricultural system is becoming more popular and enhancing agricultural productivity. Smart agriculture systems call on different type of Internet of Things (IoT) capabilities to improve farming production and deliver new monitoring facilities. In Smart agriculture system, sensors are placed within the ground may record real-time...

A model of an automated temperature prediction on smart AC system for a room has been designed, developed and implemented with an embedded system. In a room, temperature of object (like human being) with the environment is detected, identified and analyzed, with an ideal temperature. Based on data, a mathematical formula can be derived and an algor...

Turnover of employee considers as one of the major issue that every company faces. Especially, if the employee has advance skills at his/her working field, then the company faces great loss during that period. To find out the most dominant reasons of employee attrition, we approach by determining features and using machine learning algorithms where...

In today’s era, most of the people are suffering with chronic diseases because of their lifestyle, food habits and reduction in physical activities. Diabetes is one of the most common chronic diseases which has affected to the people of all ages. Diabetes complication arises in human body due to increase of blood glucose (sugar) level than the norm...

Computer vision has been proven a remarkable entity in modern computer science. Different applications of this field have been used on a regular basis. In this paper, we propose a new model for tracking real time object (i.e., car, human face, interior objects, arms, etc.) from video feed by providing training with HAAR features and also with the i...

Darkness is the inverse state of the brightness, is obtained as an absence of noticeable light and illumination. Generally, face detection applications cannot detect any human face in a dark image, where the image has captured from the dark environment or dark night. In this manuscript, we demonstrate our experiment, where we use Contrast Stretchin...

Room Temperature prediction in Air Conditioners is highly challenged and ambiguous in today's life. To develop the system, some hardware like raspberry pi zero, thermal sensor, microcontroller, IR sensor and the room’s AC with existing remote are used. The proposed system is implemented through an embedded system by using the Python programming lan...

Sentiment Detection plays a vital role worldwide to measure the acceptance level of any products, movies or facts in the market. Text vectorization (converting text from human readable to machine readable format) and machine learning algorithms are widely used to detect the sentiment of users. This paper presents and evaluates a multi-level archite...

Room Temperature prediction in Air Conditioners is highly challenged and ambiguous in today's life. To develop a system, some hardware like raspberry pi zero, thermal sensor, microcontroller, IR sensor and the room's AC with existing remote are used. The proposed system is implemented through an embedded system by using the Python programming langu...

The most widely recognized relative directions are left, right, forward and backward. This paper has presented a computational technique for tracking location by learning relative directions between two intelligent agents, where two agents communicate with each other by radio signal and one intelligent agent helps another intelligent agent to find...

How can this stop motion animation be used to promote social awareness? In this paper, we examined the role of stop motion animation on creating social awareness among people, focusing on traffic jam, wrote an overview overall process of making a stop motion animation. In South Asian countries like ours, traffic jam is a hilarious problem. Because...

The most broadly perceived relative directions are right, left, up, down, backward and forward. This research paper presents a new computational technique to learn human's relative directions, where one intelligent computer can learn any human's right, left, up, down, backward and forward or different relative directions. The present paper portrays...

Due to great advancement in the field of science and technology, Wireless Sensor Network (WSN) has been become one of the most attractive and intriguing research area in last few years. Large-scale sensor networks has been deployed by interconnecting several hundred to a few thousand sensors nodes opens up diverse technical challenges and tremendou...

Automatic recognition systems are generally applied successfully in speech processing to categorize observed utterances by the speaker identity, dialect and linguistic communication. A lot of research has been performed to detect speeches, dialects and languages of different region throughout the world. But the work on dialects of Bangladesh is inf...

The exponential growth of data first presented challenges to cutting-edge businesses such as Goggle, Yahoo, Amazon, Microsoft, Facebook, and Twitter. Data volumes to be processed by cloud applications are growing much faster than computing power. This growth demands new strategies for processing and analyzing information. Hadoop MapReduce has becom...

Due to great advancement in the field of science and technology, Wireless Sensor Network (WSN) has been become one of the most attractive and intriguing research area in last few years. Large-scale sensor networks has been deployed by interconnecting several hundred to a few thousand sensors nodes opens up diverse technical challenges and tremendou...

In large internet enterprise and data management system, Hadoop MapReduce is a popular framework. For data intensive batch jobs, MapReduce provided its impact. To build consistent, hi-availability (HA) and scalable data management system to serve peta bytes of data for the massive users, are the main focused objects. MapReduce is a programming mode...

Time and Attendance System provides many benefits to organizations. It enables an employer to have full control of all employees working hours. It helps control labour costs by reducing over-payments, which are often caused by transcription error, interpretation error and intentional error. Manual processes are also eliminated as well as the staff...

The continued growth of both mobile appliances and wireless Internet technologies is bringing a new telecommunication revolution and it has extended the demand of various services with mobile appliances. However, in wireless environment the availability of mass storage is limited due to their limited size and weight. Although the problem can be all...

Universal Networking Language (UNL) is a declarative formal language that is used to represent semantic data extracted from natural language texts. This paper presents a novel approach to converting Bangla natural language text into UNL using a method known as Predicate Preserving Parser (PPP) technique. PPP performs morphological, syntactic and se...

This paper presents a work on generating Bangla sentences from an interlingua representation called Universal Networking Language (UNL). UNL represents knowledge in the form of semantic network like hyper-graphs which contains disambiguated words, binary semantic relations, and speech act like attributes associated with the words, assisted by the s...

In this paper, we proposed an error recovery module for iSCSI protocol based NAS (Network Attached Storage) system in wireless network environment, which ensures reliability and efficiency data transmission.

The Universal Networking Language (UNL) is a world wide generalizes form of human interactive language in a machine independent digital platform for defining, recapitulating, amending, storing and dissipating knowledge or information among people of different affiliations. The theoretical and applied research associated with this interdisciplinary...

In this paper we have proposed a parameter-evaluated iSCSI protocol that automates the multi-agent coordination on the resource-constrained devices for the healthcare service. The coordination between the resource control devices and automated agents are maintained by a two-way handshaking mode iSCSI with some evaluated parameters.

In this paper we have proposed a parameter-evaluated iSCSI protocol that automates the multi-agent coordination on the resource-constrained devices for the healthcare service. The coordination between the resource control devices and automated agents are maintained by a two-way handshaking mode iSCSI with some evaluated parameters. The automated he...

In this paper, we focus on iSCSI protocol adaptation on NAS technology with mobile appliances, which are ensuring the best performance and high availability in wireless network environment.

The amount and quality of feedback provided to the learner has an impact on the learning process. Personalized feedback is particularly important to the effective delivery of e-learning courses. E-learning delivery methods such as web-based instruction are required to overcome the barriers to traditional-type classroom feedback. Thereby, the feedba...

The continued growth of both mobile appliance and wireless Internet technologies is bringing a new telecommunication revolution and has extended the demand of various services with mobile appliance. However, during working with wireless access devices, users have a limited amount of storage available to them due to their limited size and weight. To...

In Mobile appliance, users have a limited amount of storage availability to them due to their limited size and weight. To relieve problem we developed iSCSI remote storage system, which is an excellent solution for smart home automation too. User can store or access their valuable data to the home server from anywhere, anytime and also get facility...