Journal of Science & Technology (JST)
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IDENTIFICATION OF FRAUD DETECTION FROM CREDIT CARD TRANSACTIONS USING ML
Get PDFThis project is mainly focused on credit card fraud detection in real world. A phenomenal growth in the number of credit card transactions, has recently led to a considerable rise in fraudulent activities. In the modern era, the usage of the internet has increased a lot these days and becomes an essential part of the life. As the e-commerce has increased, the buying and selling the products over the internet becomes easier and more flexible. The usage of online shopping, online bill payment has increased a lot these days with the introduction of the modern technology like online banking, credit card payments. Due to the increase of the online payment and online shopping, the risk of credit card usage also increased as the credit card was used in many places as it becomes hard for the bank to distinguish the real transactions of the consumer versus the fraud transactions. Also, the credit card fraud transaction can also happen if the customer accidentally loses the credit card. So, it becomes complex for the banks to stop the fraud transactions at that point. This project represents about how to detect the fraud transactions and block the payments before processing by using the machine learning on a real-time basis
Deep Learning and image processing based ATM security and identifying the face
Get PDFA facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Proposed paper uses face recognition technique for verification in ATM system. For face recognition, there are two types of comparisons. The first is verification, this is where the system compares the given individual with who that individual says they are and gives a yes or no decision. The next one is identification this is where the system compares the given individual to all the other individuals in the database and gives a ranked list of matches. Face recognition technology analyzes the unique shape, pattern and positioning of the facial features. Face recognition is very complex technology and is largely software based using Convolutional Neural network (CNN). Automated Teller Machines are widely used nowadays by people. But It‟s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can‟t get access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATM card is encouraged. Here, The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes with the issue of being accessed by illegitimate users with valid authentication code. The users are verified by comparing the image taken in front of the ATM machine, to the images which are present in the database
Design of Multi-priority Message Sending Method Based on Bandwidth State Control
No full textDuring the use and operation of the integrated centralized system, it relies on and generates a large amount of information, which is distributed on a large number of clients waiting to be processed. Due to the limited storage resources, the priority of the server to process these messages is different, resulting in the difficulty of allocating resources to the client messages with low priority. Therefore, different services need to be customized for different clients or data streams. In this paper, a message processing method using token bucket algorithm for bandwidth state control is proposed, which not only has less development complexity, but also allocates bandwidth resources more reasonably, and effectively reduces the performance jitter of the native system
IDENTIFYING AND PREVENTING THE DISSEMINATION OF FAKE NEWS
Get PDFMisinformation poses a significant threat to democratic societies, particularly in today’s interconnected digital world, as it has the potential to shape public opinion. Researchers from various disciplines, including computer science, political science, information science, and linguistics, have been investigating the spread of fake news, methods for detecting it, and strategies to mitigate its impact. However, effectively identifying and preventing the dissemination of false information remains a complex endeavor. Given the increasing role of Artificial Intelligence (AI) systems, it is vital to offer clear and user – ,bfriendly explanations for the decisions made by fake news detectors, particularly on social media platforms. Therefore, this paper conducts a systematic analysis of the latest approaches employed to detect and combat the spread of fake news. By examining these approaches, we uncover key challenges and propose potential future research directions, with a particular emphasis on integrating AI explain ability into fake news credibility systems
DESIGN AND FABRICATION OF E-BIKE FOR GHAT ROADS
Get PDFThe electric bicycle is an electrical-assisted device that is designed to deliver the electromagnetic momentums to a present bicycle therefore relieving the user of producing the energy essential to run the bicycle. It contains a strong motor and enough battery power that just needs charging to help in hill climbing, generate greater motoring speeds and provide completely free electric transportation. Now-a-days there are so many vehicles on road, which consumes more fuel and also hazards our environment. It is our responsibility to reduce the consumption of fuel and its hazardous emission products. Taking this into consideration it is our small step towards reducing the use of more fuel consuming vehicles and attracts the eye of people towards its alternatives i.e. Electric bike. So we intend to design a bike which would run on an alternative source and also reducing human efforts called as Battery Operated bike. In this project we design an alternative mode of transport for betterment of social and environmen
DESIGN AND DEVELOPMENT OF LiDAR INTEGRATED DRONE
Get PDFThis research is focused on the design and development of a cutting-edge drone equipped with a cutting-edge RPLiDAR A1M8-R6 sensor. The drone's unique characteristic is its six-propeller layout, which sets it apart from regular drones. The major goal of this project is to use advanced sensor technology to revolutionize aerial mapping and surveillance capabilities. This novel approach intends to alleviate standard drone limitations, particularly in terms of obstacle recognition and mapping accuracy. We anticipate that by using the RPLiDAR A1M8-R6 sensor with a six-propeller arrangement, the drone's navigation and mapping capabilities will be considerably improved. The suggested system includes a custom-built drone that has been precisely manufactured to be lightweight and agile, allowing for improved flying efficiency and maneuverability. The integration of the RPLiDAR A1M8-R6 sensor, known for its outstanding lidar capabilities, is critical to this system. With a 360-degree scan capability and a range of up to 12 meters, this sensor gives highly accurate distance readings and enables efficient obstacle identification. As a result, the integrated drone can easily navigate complex areas while avoiding collisions. The experimental results unambiguously show that the integrated drone outfitted with the RPLiDAR A1M8-R6 sensor, and six propellers outperforms conventional drones in terms of obstacle avoidance, mapping accuracy, and overall flight performance
AI-Powered Data Processing for Advanced Case Investigation Technology
Get PDFInvestigative technology has advanced significantly across industries with the introduction of AI- powered data processing into case investigations. The purpose of this study is to determine how predictive analysis and dataset analysis enabled by artificial intelligence can improve the effectiveness and accuracy of investigative processes. Investigators may concentrate on complicated tasks and strategic decision-making by using AI's ability to swiftly evaluate large datasets and find minor correlations, which helps in the detection of fraudulent or illegal activity. This research attempts to determine the best accurate and dependable models for forecasting the outcomes of crimes by analyzing and contrasting the performance of machine learning models such as Gaussian Naive Bayes, Decision Tree Classifier, and Random Forest Classifier. Furthermore, by using methods like cross-validation and hyperparameter adjustment, the research minimizes overfitting problems and improves model performance. In addition to highlighting the advantages and difficulties of using AI in case investigations, the study also emphasizes how speed, accuracy, and resource allocation can all be improved. The research is heavily reliant on ethical factors, such as data privacy and bias reduction. The results highlight a paradigm change in the methods of investigation, improving the legal, corporate security, and law enforcement domains' capacity to deal with complicated cases. By offering a thorough analysis of machine learning models and showcasing the revolutionary potential of AI in case investigation technology, this study advances the discipline
Synthesis, Characterization & Antimicrobial activity of several Quinazolinone Schiff bases, 7-hydroxy-10,11-dihydroindeno[5,4- c]chromene-6(9H)-one & their Cu(II) complexes
Get PDFThe aim of this study was to synthesize mixed ligand complexes of copper(II) with a coumarin derivative,(1=7-hydroxy-10,11-dihydroindeno[5,4-c]chromene-6(9H)-one), and six Quinazolinone Schiff base derivatives, 2a-2f and characterize their structure using various spectroscopic techniques, including elemental analysis, , IR spectra, 1H-NMR spectra, FAB mass spectra, magnetic measurement and thermal studies. In addition, the ligands, complexes, metal salt and control were tested in vitro for their biological activities against gram positive and gram negative micro organism. The results indicated that the metal complexes showed significantly higher activities compared to the free ligands and metal salt
Mathematical/Statistical Research of Improved Metal Foam Heat Sink with Fe3O4-H2O Nanofluids
Get PDFThis paper presents a numerical investigation of a proposed heat sink equipped with enhanced metal foam subjected to forced convection. The two-phase Eulerian model is employed to predict the behavior of Fe3O4-H2O nanofluid, to analyze heat transfer properties and entropy production. The simulation results are validated against existing data, and good agreement is achieved. The impact of pore permeability, nanoparticle size, concentration, and flow velocity on heat exchange and entropy is studied. Our results show that the application of reinforced foam enhances average Nusselt by 5.79% compared to aluminum foam, and the proposed foam application can reduce thermal entropy by 47.58% to 81.18% for Re values of 2600 and 3800, respectively. Moreover, PEC increases by 56% when the pore permeability and flow velocity are raised
Advancement in NLP with Decision Tree: The Impact of social media on Enhancing Women's Safety in Indian Cities
Get PDFWomen and girls have been experiencing a lot of violence and harassment in public places in various cities starting from stalking and leading to sexual harassment or sexual assault. There have been several studies that have been conducted in cities across India and women report similar type of sexual harassment and passing off comments by other unknown people. The study that was conducted across most popular Metropolitan cities of India including Delhi, Mumbai, and Pune, it was shown that 60 % of the women feel unsafe while going out to work or while travelling in public transport. This work basically focuses on the role of social media in promoting the safety of women in Indian cities with special reference to the role of social media websites and applications including Twitter platform Facebook and Instagram. This work also focuses on how a sense of responsibility on part of Indian society can be developed the common Indian people so that they should focus on the safety of women surrounding them. Tweets on Twitter which usually contains images and text and also written messages and quotes which focus on the safety of women in Indian cities can be used to read a message amongst the Indian Youth Culture and educate people to take strict action and punish those who harass the women. Twitter and other Twitter handles which include hash tag messages that are widely spread across the whole globe sir as a platform for women to express their views about how they feel while they go out for work or travel in a public transport and what is the state of their mind when they are surrounded by unknown men and whether these women feel safe or not