Volume 11 | Issue 5 |

 Abstract

E-banking has a crucial function to play in the current environment. No bank can function without e-banking. In this analysis, we look at how much e-banking is used by banks in the public and private sectors. (With regard to HDFC Bank and SBI) The study's goal is to determine employee perceptions of e-banking use in public and private sector banks as well as consumer satisfaction in regard to e-banking. Both primary and secondary research methods are used in this study. Research revealed client perceptions of employee happiness and service quality in online banking services. Also, this study compares SBI and HDFC bank's working styles with those of public and private sector banks.

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 Keywords

consumer, internet, and e-banking.

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Temperature data acquisition is an important aspect of various industrial, scientific, and research applications. LabVIEW is a popular platform for acquiring and processing data from different sensors, including temperature sensors. This paper presents an abstract on temperature data acquisition using LabVIEW. The temperature data acquisition system includes a temperature sensor, signal conditioning circuit, data acquisition module, LabVIEW software, and a computer. The temperature sensor is used to measure the temperature of the object or environment, and the signal conditioning circuit is used to amplify and filter the signal before it is sent to the data acquisition module. The data acquisition module converts the analog signal into a digital signal that can be processed by the LabVIEW software.The LabVIEW software is used to acquire, analyze, and visualize the temperature data. It provides a user-friendly interface for configuring the data acquisition system, selecting the appropriate measurement parameters, and displaying the acquired data in real-time. The LabVIEW software also provides advanced features for processing the temperature data, including filtering, averaging, and statistical analysis.

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LabVIEW, NI- National Instrument, PID, temperature data acquisition.

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 Abstract

A cyber awareness programme's main goal is to inform individuals about potential online dangers and help them prevent a data breach. No solution, however, can ensure total security from assaults, but it can help lessen their frequency and give end users and experts the knowledge they need to avoid such threats. In the study that has been provided, an effort has been made to understand how cybercrime affects teenagers. There are 60 participants in the study, 30 of whom are males and 30 of whom are girls. In the analysis, percentages and the t test were used. It was determined by evaluation that girls are less aware of cybercrime than boys, indicating a need for awareness among them.

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Cyber crime, girls, boys

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The potential of blockchain technology to revolutionise several sectors has attracted a lot of interest in recent years. Scalability has, however, become an important issue that prevents the mainstream adoption of blockchain networks as their size and usage continue to increase. This study provides a thorough analysis of the scalability problems in blockchain networks and considers various remedies. We examine the basic limits of the blockchain designs that are currently in use, including those related to consensus techniques, network capacity, and storage needs. We also look into a number of scaling ideas that have been put up in the literature, including layer-2 protocols, sidechains, off-chain transactions, and sharding. Additionally, we go over the compromises made by various solutions and assess how well they work to increase blockchain scalability. This study attempts to give important insights into the scalability issues blockchain networks confront and proposes a path for further study in this field.

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 Keywords

Blockchain, Scalability, Consensus Algorithms, Sharding, Off-chain Transactions, Sidechains, Layer-2 Protocols.

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The effect of cash flow on project finance cash is a crucial aspect of project management and financial planning. Understanding how cash flow dynamics influence project finance cash is essential for project stakeholders to ensure the financial viability and success of their ventures. This study examines the factors and mechanisms through which cash flow impacts project finance cash and explores strategies to optimize cash flow in project finance.The research adopts a comprehensive approach by analyzing various factors that influence cash flow, including revenue generation, operating expenses, debt service obligations, timing of cash flows, and risk management. Additionally, the study investigates the significance of margin, retention, and mobilization in relation to cash flow in project finance. These factors play a crucial role in determining the financial health and sustainability of projects.Through an in-depth analysis of project finance cash, this study aims to provide valuable insights and recommendations for project managers, investors, and financial institutions involved in project finance. By identifying the key factors and their interrelationships, stakeholders can implement effective cash flow management strategies, mitigate risks, and enhance the overall financial performance of their projects.

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cash flow

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Piper betel Linn. an important species of the Piperaceae family is an evergreen and perennial creeper, with glossy heart-shaped leaves that are magnificent reservoirs of phenolic compounds with antiproliferative, anti-mutagenic, antibacterial and antioxidant properties. Phytochemical studies show that Piper betel contains a wide variety of biologically active compounds whose concentration depends on the variety of the plant species. Many research studies on Piper betel has reported that it contains important chemical constituents such as chavibetol, chavibetol ace- tate, caryophyllene, allylpyrocatechol diacetate, campene, chavibetol methyl ether, eugenol, a- Pinene, f-Pinene, uLimonene, safrole, 1-8-cineol, and allylpyrocatechol monoacetate. These components are valued as a stimulant for its medicinal properties like anti-fungal, anti-nocicep- tive, anti-cancer, immunomodulatory, antihalitosis, anti-diabetic, gastroprotective, anti-allergic, anti-fertility, antifilarial, anti-larvicidal, wound healing and anti-dermatophytic. The present re- view is an attempt to highlight various traditional uses as well as pharmacological reports on Piper betel L.

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Betel Leaf,Anti allergic ,Herbal ,Herbal Ingridients

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 Abstract

Now a day's online payment gaining popularity because of easy and convenience use of ecommerce. It became very easy mode of payment. People choose online payment and e-shopping; because of time convenience, transport convenience, etc. As the result of huge amount of e-commerce use, there is a vast increment in credit card fraud also. Machine Learning has been successfully applied to finance databases to automate analysis of huge volumes of complex data. Machine Learning has also played a salient role in the detection of credit card fraud in online transactions. Fraud detection in credit card is a big problem, it becomes challenging due to two major reasons-first, the profiles of normal and fraudulent behaviours change frequently and secondly due to reason that credit card fraud data sets are highly skewed. This paper research and checks the performance of Random Forest on highly skewed credit card fraud data. Dataset of credit card transactions is sourced from European cardholders containing 1 lakh transactions. These techniques are applied on the raw and pre-processed data. The performance of the techniques is evaluated based on accuracy, sensitivity, and specificity, precision.

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 Keywords

Data Analysis, Fraud in credit card, decision tree, random forest, Machine Learning, Security

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Technology is developing at a rapid rate, and many security problems are emerging along with it. One of the biggest problems with biometrics recognition technologies is that the system has numerous security flaws, and morph face attacks are becoming more frequent nowadays. Several authors offered different approaches to the problem in different sectors using different procedures. The "detection equal ratio," or comparing the genuine image with the morphing image, is one of the most important operations. The "CNN" method, which is used for segmentation and feature extraction, is the major algorithm the authors have used. The report also contrasts the numerous research techniques employed by the writers to discover the modified facial image and it's For this issue, the various authors provided various solutions in various fields with various processes. in the most significant processes were taking the "detection equal ratio," or comparing the bona fide image and morphed image. the main algorithm used by the authors was CNN, which is used for segmentation and feature extraction. further, the paper compares the various research methods used by the authors to find out the morphed face image and its detection ratio

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CNN, Rest-Net

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 Abstract

Enhanced Security for IoT Devices using Blockchain Smart Contract

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Enhanced Security for IoT Devices using Blockchain Smart Contract

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