JOURNAL OF MULTIMEDIA TECHNOLOGY & RECENT ADVANCEMENTS

Offline Distribution Application with Salesman Tracking System

Somesh Jha — 2023-11-07

In today’s highly competitive business environment, where customer demands are constantly changing, organizations are actively exploring methods to streamline their sales procedures and enhance their overall effectiveness. Sales force automation software emerges as a transformative solution, offering a suite of tools designed to streamline, automate, and enhance sales activities, ultimately leading to improved efficiency, effectiveness, and customer satisfaction. This abstract delves into the fundamental aspects of sales force automation software, exploring its significance, key features, benefits, and potential impact on businesses of all sizes. Sales force automation software offers relief to sales teams by automating mundane responsibilities like data input, lead tracking, order handling, and client correspondence. This empowers them to dedicate their time and effort to more valuable tasks such as cultivating relationships, comprehending customer requirements, and finalizing transactions.

A Massive Production to the Era of Technology by Social Bots Combating Fake News on Digital Platforms

Pankaj Verma — 2023-08-11

Social networks have revolutionized communication, enabling individuals to connect with a broader audience and express their opinions freely. However, this unprecedented accessibility also opens doors to potential challenges, such as the unintentional spread of misinformation. In this study, we delve into the mechanisms behind the generation of false information and present a thought-provoking vision of a future where social bots autonomously evolve into semantic webs, inundating media platforms with fabricated content. The study begins by acknowledging the power of social networks as a valuable tool for expanding overall exposure. It emphasizes how anyone can utilize these platforms to share their ideas, but also highlights the lurking presence of social bots. These automated entities, often driven by hidden agendas, can exploit the open nature of social media to disseminate misinformation on a large scale. Ultimately, this study serves as a call to action for researchers, policymakers, and technology companies to address the evolving challenges posed by the spread of misinformation on social media. By understanding the methods employed by social bots in generating false information, we can strive to develop robust countermeasures that protect the public’s right to accurate and reliable information, fostering a healthier and more informed digital society.

Multimedia Abstraction in E-learning via LexRank and Latent Semantic Analysis

Madhura M. Lambe — 2023-10-09

In today’s era of abundant online information, it is essential to offer an efficient and precise solution for accessing information. With the growing usage of the Internet and smartphones, there has been a consistent rise in online education, entertainment, and various other activities. However, there are instances when we lack the time to delve into lengthy content like videos or podcasts. Hence, there is a need for a method to condense lengthy materials into brief statements while retaining the original meaning. Automatic summarization comes into play here. Its primary goal is to extract concise summaries from vast amounts of digital data accurately and efficiently. To achieve this, we employ natural language processing techniques, utilizing algorithms like LexRank and latent semantic analysis.

Evolution of 6G Networks: Novel Perspective, Current Trends, and Future Directions

Y. Gayatri — 2023-08-11

The advent of 6G technologies promises a revolutionary leap in the realm of wireless communications, bringing forth a new era of hyper-connectivity and empowering an unprecedented array of applications. This article presents a concise overview of the pivotal role that 6G technologies are expected to play in shaping the future of telecommunications and beyond. It highlights the key features that differentiate 6G from its predecessors, such as higher data rates, ultra-low latency, massive connectivity, and enhanced energy efficiency. By harnessing advanced technologies such as terahertz frequencies, artificial intelligence-driven network optimization, and quantum cryptography, 6G is set to create a robust infrastructure capable of supporting emerging technologies like holographic communications, advanced augmented reality, and autonomous systems. While exploring the potential challenges and opportunities, these abstracts underscore the transformative potential of 6G technologies in driving societal progress, enabling novel applications, and laying the foundation for a truly interconnected and intelligent world.

Cloud System Performance and Security Improvements with Multi-tenancy Integration

Meenakshi Saini — 2023-09-05

Cloud computing has emerged as a popular paradigm for delivering scalable and flexible computing resources to businesses and individuals. However, ensuring the performance and security of cloud systems continues to be a significant concern. Multiple users or tenants can share the same cloud infrastructure thanks to multi-tenancy, a crucial notion in cloud computing. This dissertation explores the integration of multi-tenancy as a means to enhance the security and performance of cloud systems. The comprehensive review of the existing literature on cloud computing, multi-tenancy, and the associated security and performance challenges. It analyses the benefits and drawbacks of multi-tenancy and identifies the key research gaps that need to be addressed. To address the security concerns, the dissertation investigates various security mechanisms and techniques that can be employed within a multi-tenant cloud environment. It explores access control models, encryption techniques, and secure data isolation methods to ensure the privacy and integrity of tenant data. The dissertation also explores auditing and monitoring mechanisms to detect and mitigate potential security breaches.