Browsing by Author "Dutta, Mithun"

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A BrainNet (BrN) based New Approach to Classify Brain Stroke from CT Scan Images
(IEEE, 2023-06-09) Tripura, Dhonita; Haque, Imdadul; Dutta, Mithun; Dev, Shaikat; Jahan, Tanjila; Ghosh, Shomitro Kumar; Islam, Md. Ashiqul
Worldwide, brain stroke is known as the 2nd leading cause of death, and based on Indian history, three people have suffered every minute. There are mainly two different types of brain stroke: ischemic stroke and Hemorrhagic stroke used to train the proposed models. Ischemic stroke is the most common and it contributes mostly to 80% of the brain stroke and Hemorrhagic stroke contributes mostly to 20% of the brain stroke. In the proposed model, there has been used a hybrid model called BrainNet (BrN) as CNN(Convolutional Neural Network) and SVM(Support Vector Machine)to classify brain stroke disease. After applying the required proposed model, it has produced a smart score of 91.91% accuracy, and compared to the existing model it performs pretty well. The BrainNet (BrN) model is mainly designed based on a deep neural network with dataset collection, preprocessing, and feature extraction with the desired model and make the classification concerning SVM. With compare to the existing model, it is an acceptable performance that belongs to the collected dataset designed with Ischemic stroke and Hemorrhagic stroke disease within the total number of 2515 data.
An Online E-Cash Scheme with Digital Signature Authentication Cryptosystem
(Springer, 2021-01-26) Islam, Md. Ashiqul; Hossen, Md. Sagar; Hossain, Mosharof; Nime, Jannati; Hossain, Shahed; Dutta, Mithun
This paper is intended to enlighten the curious minds on how to use cryptocurrency easily in our day-to-day life. What bitcoin really is? The relation between bank and the user, who has bitcoin, describes potential system design, basic payment method using cryptocurrency, the payment gateway and explains it in the simplest way, and finally the conclusion. Cryptocurrency is one type of digital virtual currencies that have not physically existed. This proposed research work is mainly focused on bitcoin, which is the decentralized digital currency, and it conducts peer-to-peer connection, to make it safe and secure than other digital currency types or hand cash. This paper has proposed an online E-cash scheme with a digital signature authentication cryptosystem that has the tendency to replace the traditional fiat currency, and bitcoin is used instead of the conventional currency and payment system. We can exchange bitcoin to E-cash and E-cash to bitcoin also. This system will find a new way to protect the users from unauthorized transactions in online and offline E-cash system.
An Online E-Cash Scheme with Digital Signature Authentication Cryptosystem
(Scopus, 2021) Islam, Md. Ashiqul; Hossen, Md. Sagar; Hossain, Mosharof; Nime, Jannati; Hossain, Shahed; Dutta, Mithun
This paper is intended to enlighten the curious minds on how to use crypto currency easily in our day-to-day life. What bit coin really is? The relation between bank and the user, who has bit coin, describes potential system design, basic payment method using crypto currency, the payment gateway and explains it in the simplest way, and finally the conclusion. Crypto currency is one type of digital virtual currencies that have not physically existed. This proposed research work is mainly focused on bitcoin, which is the decentralized digital currency, and it conducts peer-to-peer connection, to make it safe and secure than other digital currency types or hand cash. This paper has proposed an online E-cash scheme with a digital signature authentication cryptosystem that has the tendency to replace the traditional fiat currency, and bitcoin is used instead of the conventional currency and payment system. We can exchange bitcoin to E-cash and E-cash to bitcoin also. This system will find a new way to protect the users from unauthorized transactions in online and offline E-cash system.
Bank Vault Security System Based on Infrared Radiation and GSM Technology
(Springer, 2019-11-11) Dutta, Mithun; Islam, Md. Ashiqul; Mamun, Mehedi Hasan; Psyche, Kangkhita Kaem; Al Mamun, Mohammad
Banking security systems are emerging as a matter of great importance nowadays. We are presenting here a smart security system, which has been designed to protect the bank vault from being theft or unauthorized access. This highly secured system is based on Infrared ray, GSM technology, different types of sensors (Motion sensor, Laser sensor, Sound sensor and Gas sensor), IP camera, microcontroller, keyboard, and LCD. GSM technology will be used here to send any type of warning message to the concerned phone number. According to our concept a biometric function, i.e., hand geometry, an iris scanner, a fingerprint scanner or heartbeat rate with a password/PIN can be used here which will be responsible for the fine security of the principle gate of the vault. It may also include Infrared radiation between the walls of bank vault room to provide increased security of the vault. The walls of the vault room is specially designed in two sections maintaining collateral gap where the Infrared radiation will pass from the Infrared radiation sources to prevent any accident like wall break robbery. The proposed security system of the bank vault has been implemented as well as tested several times and found more effective than the other existing security systems.
Computational Analysis of Network Model Based Relationship of Mental Disorder With Depression
(Biointerface Research in Applied Chemistry, 2020-05-12) Hasan, Md. Rakibul; Paul, Bikash Kumar; Ahmed, Kawsar; Mahmud, Shahin; Dutta, Mithun; Hosen, Md. Sazib; Hassan, Md. Mehedi; Bhuyian, Touhid
In this study, we present the network relationship of anxiety, eating and mood disorder with depression. Different computational network models have been demonstrated using different ongoing technologies. One of the most common mental illnesses can be classified as anxiety disorders. These are observable psychological conditions or a category of mental illnesses believed to be caused either by genetic weakness or by causes of environmental sensitivity. A wide range of psychological chronic conditions is often correlated with eating disorders (ED). However, the increasing role of lipid metabolism in ED pathogenesis has been highlighted by recent research studies. Depression (DE) acknowledgement is traced back to the ancient Greeks, who called it melancholia. The word depression has originated with the Greeks who used it to identify a specific condition, a God-given spiritual state, or a response involving rage or excitement, in different ways. Throughout drug research and development, finding innovative mechanisms is a massive challenge. In this field, structure-based design is a basic methodology and has become an essential part of developing drugs. The detailed three-dimensional structure of the protein is shown for a significant number of drug targets. While simulation docking and similar biotechnology have progressed in recent times, a suitable set of docking simulations for simulation performance is difficult to identify.
Dynamic assessment and prediction of land use alterations influence on ecosystem service value: A pathway to environmental sustainability
(Scopus, 2024-02) Roy, Sujit Kumar; Alam, Md. Tauhidul; Mojumder, Pratik; Mondal, Ismail; Kafy, Abdulla - Al; Dutta, Mithun; Ferdous, Md Nahid; Mamun, Md. Abdullah Al; Mahtab, Sania Binte
In the face of rapid urbanization, understanding and managing changes in Land Use and Land Cover (LULC) is crucial for the sustainability and resilience of urban ecosystems. Rapid urban growth resulting from changes in LULC, can lead to the fragmentation and degradation of Ecosystem Services (ES), including habitat provision, water regulation, and air purification. This study investigates LULC changes in Dhaka City, Bangladesh, from 2010 to 2021 and forecasts their future impacts on ES in 2030 and 2040. Landsat images were processed using the Google Earth Engine platform, and a cellular automata technique was integrated with an Artificial Neural Network (ANN) for LULC mapping and prediction. Results showed an increase in built-up areas from 31% to 42% between 2010 and 2021, with a projected decrease to 34% and 32% in 2030 and 2040, respectively. Water bodies, vegetation, and agricultural land declined from 2010 to 2021 but are expected to increase in 2030 and 2040. This trend indicates a growing awareness of the need for a sustainable environment and resilience in urban ecosystem development. The value of ES is predicted to drop from $172.66 to $160.23 over thirty years (2010–2040), primarily due to the degradation of water bodies ($7.64) and agricultural land ($6.89). However, the projected increase in water bodies, vegetation, and agricultural land by 2040 suggests a potential for recovery and enhancement of these ES values through sustainable practices. Future land use policies should promote sustainable agriculture and water resource management while fostering resilience against rapid urban growth. This approach will ensure the sustainable development of urban ecosystems. This study informs future land use strategies in Dhaka City, supporting sustainable natural resource management, urban ecosystem quality management decisions, and resilience planning. It underscores the importance of integrating sustainability and resilience into urban development policies for the benefit of both the environment and the city's inhabitants.