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Author Archives: Kajal Tripathi

An Algorithmic Implemetation on Big Data Approach Using Mapping Techniques

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An Algorithmic Implemetation on Big Data Approach Using Mapping Techniques
Authors:-Research Scholar Ms. Shilpa Sharma, Professor R. K. Bathla

Abstract-Research is an art of scientific examination. The advance learner’s vocabulary of current English lays down the meaning of research as “A careful exploration and enquiry especially through search for new facts in any branch of knowledge. Bradman and Morry define research as “A standardize efforts to increase new knowledge”. Research is, thus an original contribution to existing stock of knowledge making for its advancement. It is detection of truth with the help of study, observation, comparison, and experiments. The technologies that give support to the entire process of cost-effectively storing and processing data, and utilize internet technologies in a scattered way have arisen in the past few years. NoSQL and Cloud computing are the renowned ones that improve the potential offered by Big Data Technologies. Map Reduce is a software manufacture introduced by Google to act upon parallel processing on large datasets supercilious that large dataset storage is distributed over a large number of machines. Each machine computes data stored locally, which in turn contributes to distribute and parallel processing. This paper focuses on the Big data and Cloud services using impact of Map Reduce Algorithm and very advantageous for the researchers and corporate sectors who are using Map Reducing System technology.

DOI: 10.61137/ijsret.vol.11.issue1.103

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Review on PAPR Reduction and Improvement of OFDM System Performance Using Artificial Intelligence Machine Learning Algorithm

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Review on PAPR Reduction and Improvement of OFDM System Performance Using Artificial Intelligence
Machine Learning Algorithm

Authors:-M.Tech Scholars Rahul Mishra, Assistant Professor Vijay Bisen

Abstract-The advancement of technology necessitates the development of more sophisticated modulation strategies for wideband digital communication systems. The requirements for high-speed data transmissions can be effectively met by utilizing orthogonal frequency division multiplexing, which is an effective technique. However, a high peak-to-average power ratio (PAPR) is one of the key limits that OFDM systems face, both in terms of their performance and their power efficiency. The evaluation of the PAPR reduction has become a topic of widespread interest in this present decade due to the relevance it holds in the industrial and scientific communities. The purpose of this study is to Review show the combination of the bat algorithm with the partial transmit sequence scheme as an effective way for reducing PAPR that also eases the burden of computing work. For the purpose of providing a comparative evaluation of the PAPR reduction performance, a number of simulations using various partial transmit sequence schemes have been carried out.

DOI: 10.61137/ijsret.vol.11.issue1.102

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A 19-Level Variable Frequency Switched DC-AC Converter fed Induction Motor Drive for Bench Grinding Applications

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A 19-Level Variable Frequency Switched DC-AC Converter fed Induction Motor Drive for Bench Grinding Applications
Authors:-MTech Scholar Umang Soni, Assistant Professor Shyam Kumar Barode, Assistant Professor Hari Mohan Soni, Assistant Professor Sachin Jain

Abstract-The development of inverters with more than two layers to reduce distortion from the fundamental sinusoidal waveform gave rise to the concept of a multilayer inverter. For bench grinder applications, the induction motor drive has to be powered by AC. Therefore, a multilayer inverter is used to boost the sine wave nature of the inverter output, and an asymmetrical H-bridge type inverter is used to decrease the bulkiness and cost of the system. The MATLAB platform is used to construct the concept, and analysis is then conducted to ascertain the end product’s value.

DOI: 10.61137/ijsret.vol.11.issue1.101

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User-Centered Design in Digital Marketing

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User-Centered Design in Digital Marketing/strong>
Authors:-Abhijit Mojumder, Susmita Biswas

Abstract-Purpose: This thesis investigates how user-centered design (UCD). , user experience (UX) principles can have a remarkable impact on digital marketing campaigns, focusing on consumer engagement. , conversion rates. With the rising complexity of online consumer behavior. , ever-increasing competition in digital marketplaces, leveraging strategic UX design has emerged as a powerful tool for marketers. Methodology: The study adopts a mixed-methods approach, incorporating both quantitative data (such as user analytics, A/B testing results)., qualitative insights (such as interviews, focus groups). A framework is established to evaluate campaign performance metrics, user satisfaction scores, . , conversion funnels within diverse digital platforms—social media, e- commerce websites, mobile applications. Findings: The findings suggest that user-centered design elements—such as intuitive navigation, responsive interfaces, consistent br. ,ing, . , personalization—lead to higher levels of user satisfaction, br. , trust, , customer retention. In addition, campaigns designed around UX principles witnessed a measurable uptick in conversion rates compared to those that lacked deliberate UX planning. Implications: This thesis contributes to the existing literature on digital marketing by incorporating comprehensive UX design strategies. By applying user-centered methodologies, marketers can cultivate more engaging. , persuasive digital experiences, thus boosting key performance indicators (KPIs) such as click-through rates, time on site, average order value., customer lifetime value.

DOI: 10.61137/ijsret.vol.10.issue6.422

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An Overview of Textual Sentiment Analysis and Emotion Recognition

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An Overview of Textual Sentiment Analysis and Emotion Recognition/strong>
Authors:-Pallavi Suryavanshi, Dr Sunil Patil

Abstract-Opinion mining, another name for sentiment analysis, is a crucial task in natural language processing (NLP) that enables the extraction of subjective information from text. Sentiment analysis can use machine learning algorithms to classify opinions in text into three categories: neutral, negative, and positive. In the Internet age, social networking sites have grown rapidly, making them an essential tool for communicating emotions to individuals all over the world. Many people use music, video, photos, and text to express their ideas or perspectives. Sentiment analysis is inadequate in certain applications; therefore, emotion detection is necessary to accurately ascertain a person’s emotional and mental condition. The degrees of sentiment analysis, different models, and the steps involved in sentiment analysis and emotion detection, challenges faced are all explained in this review study.

DOI: 10.61137/ijsret.vol.10.issue6.421

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AcademEase: Revolutionizing Online Assignment Management for Enhanced Academic Efficiency

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AcademEase: Revolutionizing Online Assignment Management for Enhanced Academic Efficiency/strong>
Authors:-Chethan M S, Associate Professor Dr S R Raja

Abstract-The traditional methods of managing assignments are steadily becoming outdated due to their numerous drawbacks, including inconvenience, inefficiency, and a lack of accuracy. These limitations have prompted a growing need for more effective solutions in the educational domain. With the rapid advancement of web technologies, web-based management systems have gained significant traction and are being widely adopted across various sectors. This paper presents a novel AcademEase: Revolutionizing Online Assignment Management for Enhanced Academic Efficiency that not only integrates the most effective features of existing commercial systems but also introduces innovative functionalities tailored specifically for modern assignment management needs. The proposed system addresses critical gaps in traditional practices by offering a comprehensive platform designed to streamline assignment handling processes for both administrators and students. Key features of the AMS include a user-friendly interface that simplifies the user experience, ensuring that assignments are managed in a convenient, efficient, and systematic manner. Furthermore, the system is designed with a high degree of portability and extensibility, making it adaptable to various educational environments and capable of evolving with future technological advancements. To safeguard sensitive data and ensure secure operations, the system incorporates robust, multi-layered security strategies that enhance its overall reliability. By leveraging the power of web technologies, this innovative system not only improves assignment management workflows but also sets a new benchmark for efficiency, usability, and security in academic institutions. This paper delves into the design, functionality, and benefits of the AMS, showcasing how it effectively meets the demands of modern educational practices.

DOI: 10.61137/ijsret.vol.10.issue6.420

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AI with a Human Touch: Innovating E-Commerce through Emotion-Sensitive Technologies

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AI with a Human Touch: Innovating E-Commerce through Emotion-Sensitive Technologies/strong>
Authors:-Umamageswari.GS, Associate Professor Dr S R Raja

Abstract-The swift advancement of artificial intelligence (AI) has dramatically altered the e-commerce landscape, allowing companies to improve customer experiences through increasingly customized and emotionally responsive methods. E-commerce platforms can now offer tailored interactions that connect with customers on an emotional plane by utilizing AI to identify and react to their emotional states, whether through written, spoken, or behavioral indicators. Emotion-cognizant AI systems can comprehend sentiments expressed across various contact points, including chatbots, customer support exchanges, product suggestions, and individualized marketing efforts. These AI systems employ sentiment analysis, natural language processing, and emotional intelligence algorithms to modify response promotions, and product recommendations based on weather a customer is content, irritated, perplexed, or enthusiastic. Consequently, customers receive highly personalized and empathetic interactions that boost satisfaction, build trust, and increase conversion rates. This study examines the newest innovations in AI-powered emotional intelligence for e-commerce, its capacity to enhance customer engagement, and its ramifications for businesses aiming to improve customer loyalty through a more profound understanding of emotional dynamics.

DOI: 10.61137/ijsret.vol.10.issue6.419

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Enhancing Software Quality through Automation Testing

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Enhancing Software Quality through Automation Testing/strong>
Authors:-Associate Professor Dr.S.R. Raja, Research Scholar B. Karthigeyan

Abstract-Web automation testing has become an essential component of modern software development, enabling developers to ensure the quality, functionality, and performance of web applications. It leverages automated tools and frameworks to perform repetitive and complex testing tasks, thereby reducing human error and speeding up the development lifecycle. This paper explores the methodologies, tools, and advancements in web automation testing, presenting a proposed system designed to enhance efficiency and reliability. Through an experimental prototype, we demonstrate the effectiveness of the proposed architecture in streamlining testing processes. The paper also addresses the challenges faced in script maintenance, scalability, and adaptability of automated tests in dynamic web environments. Finally, we outline future directions for research in this domain, emphasizing the role of AI and real-time analytics in shaping the next generation of automation testing tools.This paper explores the methodologies, tools, and advancements in web automation testing, focusing on overcoming challenges like script maintenance, handling dynamic elements, and frequent application updates. Through an experimental prototype, the proposed system demonstrates improved efficiency by integrating modular test designs and advanced reporting mechanisms.

DOI: 10.61137/ijsret.vol.10.issue6.417

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The Role of Heavy Metals in Disrupting Intercellular Communication via Exosomes

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The Role of Heavy Metals in Disrupting Intercellular Communication via Exosomes/strong>
Authors:-Talha, Usama Zahoor, Faseeh Ur Rehman, Muhammad Usama, Muhammad Shafique, Atif Ali, Ahmad Abid, Muhammad Faisal Ramzan, Muhammad Abdullah Sohail, Muhammad Zubair

Abstract-Small extracellular vesicles secreted by most cell types have been crucial for intercellular communication in transferring biologically active molecules, such as proteins, lipids, and RNA. The vesicles regulate the physiological processes that contribute to pathological conditions such as cancer. Exposure to heavy metals, including arsenic, cadmium, and lead, disrupts communication by interfering with the biogenesis of exosomes, the cargo that is transferred within them, and their release. This review discusses the molecular mechanisms through which heavy metals affect exosomes, their downstream effects on recipient cells, and the potential of exosome-based biomarkers for detecting and mitigating heavy metal toxicity. The discussion also brings out therapeutic opportunities and future research directions.

DOI: 10.61137/ijsret.vol.10.issue6.416

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Analyzing the Loss of Sound Transmission for a Rectangular Cross Section Muffler with a Different Aspect Ratio in Same Gas Volume

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Analyzing the Loss of Sound Transmission for a Rectangular Cross Section Muffler with a Different Aspect Ratio in Same Gas Volume/strong>
Authors:-Associate Professor Amit Kumar Gupta

Abstract-The measurement of the acoustical transmission loss of an expansion chamber muffler with a rectangular cross section and different cross section aspect ratios is presented in the study. An essential component of noise management for reducing noise from gas flow sources, such as machinery exhaust, is a muffler, also known as a silencer. As a component of an internal combustion engine’s exhaust system, mufflers are usually placed along the exhaust pipe to lessen noise. One-dimensional waves are utilized as simulation tools.

DOI: 10.61137/ijsret.vol.10.issue6.415

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