Volume 12 | Issue 4 |

 Abstract

Road safety is greatly threatened by distracted driving, which has been linked to multiple collisions and fatalities. To tackle this problem, we provide a unique Convolutional Neural Network (CNN) based technique for identifying distracted drivers. The CNN model efficiently recognizes and categorizes distractions by automatically extracting pertinent information from photos. We assess the model's performance using extensive testing and cross-validation on a large dataset, showing it has high degree of accuracy in identifying and classifying distractions.

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 Keywords

Feature extraction, data augmentation, transfer learning, and convolutional neural networks (CNNs), Metrics, categorization of driver distraction, Diversity in training datasets tweaking of hyperparameters, Model assessment, analytics dashboards, footage from in-car cameras, Analysis of driver behavior.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Addressing global concerns regarding energy consumption and environmental sustainability, this review paper delves into the pivotal role of biomass and lignocellulosic residues as sustainable energy sources. The composition of these materials, rich in cellulose, hemicellulose, lignin, and extractables, presents significant potential for energy production. Thermal degradation process like pyrolysis, conducted in the absence of air or oxygen, hold promise for converting biomass into valuable chemical substances, including hydrogen gas (H2). Utilizing thermogravimetric analysis (TGA) allows for the assessment of degradation and mass conversion processes, facilitating the evaluation of kinetic characteristics crucial for forecasting biomass behavior during pyrolysis. For the kinetic parameters of biomass Kissinger, Ozawa-Flynn-Wall (OFW), Kissinger-Akahira-Sunose (KAS) and Coats Redfern methods are considered. This review synthesizes findings from numerous experiments employing pyrolysis and thermogravimetric techniques across over more than fifty biomass types, examining their activation energies and higher heating values as well as proximate and ultimate composition. This review underscores the importance of leveraging diverse biomass sources for thermal and energy generation, providing valuable insights for future research and application in the pursuit of environmentally friendly energy solutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

TGA, Kinetic analysis, KAS, OFW, Coats Redfern

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this study, the marketing strategies of two leading players in the online food delivery industry were evaluated : Swiggy and Zomato . These platforms are navigating a competitive and rapidly evolving environment . It is necessary to understand their unique approaches to customer engagement, brand building, and market expansion.The abstract provides a short overview of the research, emphasizing that user experience, loyalty programs, partnerships, and advertising campaigns are the main points of focus. In the online food delivery industry, the marketing strategies employed by Zomato and Swiggy have been successful, which is evidenced by their continued growth. In order to maintain their market leadership and ensure their continued success, these companies will need to generate innovative ideas . In the end, this study contributes to a greater understanding of the techniques these platforms use to capture and maintain a growing customer base in the fast-paced world of online food delivery.

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 Keywords

KEYWORDS : Marketing Strategies , Swiggy , Zomato, Online food delivery

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This exploration paper investigates the transformative part of technology in extending the reach and impact of banking yojanas( schemes) initiated by the Government of India. By employing a case study approach, the paper examines prominent yojanas similar as Pradhan Mantri Jan Dhan Yojana( PMJDY), Pradhan Mantri Mudra Yojana( PMMY), and Direct Benefit Transfer( DBT) scheme, expounding the integration of technology- driven results in their perpetration. Through a review of literature, policy documents, and empirical data, the paper analyzes the relinquishment of digital banking structure, biometric authentication systems, mobile operations, and Aadhaar- enabled payment systems (AEPS) to enhance availability, effectiveness, and translucency in service delivery. Likewise, it explores the impact of these technological interventions on expanding fiscal addition, reducing leakages, and promoting socio- profitable commission among marginalized populations. The paper also discusses challenges similar as cybersecurity pitfalls, digital peak, and sequestration enterprises associated with the digitization of banking yojanas, proposing strategies for mollifying these challenges and maximizing the benefits of technology- enabled fiscal addition.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Banking Yojanas, Financial Access, Financial knowledge.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Non-renewable energy comes from sources that will run out or will not be replenished in our lifetime or even in many lifetimes. Most of the non-renewable energy sources are fossil fuels, which influence the environment greatly and contribute to harmful global warming and climate change. Renewable energy is energy produced from sources that do not deplete or can be replenished or refilled within a human's life time. The most common examples of renewable energy sources include wind, solar, geothermal, biomass, and hydropower. Renewable energy is sustainable as it originates from sources that are inexhaustible (unlike fossil fuels). The aim of this study is to harness and store solar energy through natural dye Curcumin-Fructose-Brij-35 photogalvanic cell system. This cell based on photo-sensitizer natural dye Curcumin, surfactant Brij-35, reductant Fructose in alkaline medium has shown encouraging and very impressive improvement in solar energy conversion and storage. This combination of chemicals has shown harnessing of 120.50 ?W maximum powers with a storage capacity of 100 min as half change time from the 10.4 mWcm-2 artificial and low illumination intensity. In this study, the observed optimum cell performance in terms of the photopotential, maximum photocurrent, and short-circuit current is 918 mV, 824 ?A, and 784 ?A, respectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Curcumin, fructose, Brij-35, maximum photocurrent, photopotential, fill factor, power point, and conversion efficiency.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study mainly focuses on investor attitude and preference for Tax-Saving Mutual Funds. The study's goal is to better understand the elements that influence investors' preference in this area as well as to provide better insights about Tax-Saving investments. In this study, the purposive sampling is used to collect 353 respondents and the following analysis was made, Reliability analysis, percentage analysis, Chi-Square, ANOVA, Correlation and Regression analysis. Investor attitude and preference can be examined by the demographic factors, tolerance level of risk, investment duration, returns, lock in period and tax benefits with means of blending qualitative and quantitative analysis. This research contributes to greater understanding of the investor's preference and attitude.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ELSS Mutual Funds, Tax-Saving investments, Investment Horizon

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Live biometric systems should be used since the reliance on inadequate security procedures and approaches an ever- increasing number of assaults on authentication systems. That are recognized source of reliable authentication. Systems for password- based authentication are widely used and have many advantages. They must, however, be committed to memory vulnerable to dictionary, password guessing, and password resetting assaults from malicious parties. An alternative are biometric-based authentication methods, which don't require user memorization and difficult to replicate since they require the end users' physical presence. However, because there are more attacks every day, an attacker can trick the system by making a false or previously. Using a web interface to analyze a user's facial traits, web-based facial authentication provides a safe way to confirm that person's identification. By utilizing the camera on a device, it takes pictures of faces, examines distinctive features, and then compares it with previously saved information to authorize access or verify a user. Convenience and security are combined with this technology to provide a seamless online service access experience that prioritizes user privacy and data protection.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

identification, protection, authentication, vulnerable, technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In India's energy industry, the widespread use of edge computing-powered image processing-based billing devices offers a revolutionary way to overcome the drawbacks of manual billing procedures. Compared to manual billing procedures, this solution has several advantages: it is more accurate, has less errors, and is less vulnerable to fraud and manipulation. By incorporating image processing technology and character recognition technology (OCR) into billing devices, the danger of human error is minimized, and proper billing calculations are secured by automatic and precise data extraction from power meter readings. Advanced picture processing and meter variety are significant infrastructure trade-off considerations. Further study will focus on Data Privacy, Advanced Image Processing and Recognition, and a novel dimensional method for edge-based image processing-based billing devices. Leveraging edge computing capabilities reduces the need for manual intervention by facilitating real-time data processing and analysis, which approves for instantaneous invoice creation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

-- Image processing, Edge computing, Minimized susceptibility, Automated data extraction, data processing and analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tomato sorting is one of the key elements to implement in order to improve tomato quality. At the moment, many sorting systems are done by hand, which can be time-consuming and problematic. By classifying tomato anecdotage using a Convolutional Neural Network (CNN) system, one sorting scheme may be imposed. The classification of tomato anecdotes based just on their color is the ultimate goal of this investigation. Three color positions are distinguished: green for raw tomatoes, turning for half-ripe tomatoes, and red for ripe tomatoes. In order to conduct this investigation, the following research methods were used: CNN model, training data, data pre-processing, and image preservation. 1148 photos were utilized in this investigation. The photographs were captured manually in an outdoor setting using a smartphone camera. CNN model was constructed using these photos. The investigation's findings demonstrate that ten tomato photos were tested, yielding raw tomatoes that scored nearly 90, ripe tomatoes that scored nearly 90, and half-ripe tomatoes that scored slightly under 80. CNN can be an effective choice for image bracket jobs based on the results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN model, Classification, Tomato Ripeness, Image Processing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Industrial production procedures for pharmaceutical product development require a high level of expertise and control to prove that the end product will be of the requisite quality. Usually, a lot of information is acquired throughout the process however, in order to make use of the data, the information that is contained must be extracted using the appropriate statistical tools. Large quantities, varied sample rates, process noise, and non-linear connections are some of the difficulties encountered by industrial process data. To understand the effects of multidimensional and interactions of input parameters on the output responses of pharmaceutical goods and analytical methodologies, design of experiments (DoE) have been employed extensively. SPSS, STATA, Minitab, Graph pad Prism are some of the popular programs for statistical analysis. EXCEL and other spreadsheet programs are user-friendly and excellent for entering, coding and storing survey data. Larger-scale manufacturing problems might occasionally occur, and statistical optimization could provide solutions. Furthermore, it is applied in medical research to increase efficiency and precision. This article includes theoretical and practical approaches for using Design of Experiments (DoE), Minitab, IBM SPSS, Graphpad Prism in the pharmaceutical industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Statistical Tools, Minitab, IBM SPSS, Graphpad Prism, Design of Experiments (DOE)

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Creative Commons Attribution 4.0 and The Open Definition