In this paper, we will discuss the concept of group and we will discuss the different groups like as dihedral group and the order of alternative groups, symmetric group, quaternion group etc. The sylow theorems are three powerful theorems. In modern algebra which helps us to show that group of certain order is not simple

Download

The Network on Chip (NoC) has emerged as an effective solution for intercommunication infrastructure within System on Chip (SoC) designs, overcoming the limitations of traditional methods that face significant bottlenecks. However, the complexity of NoC design presents numerous challenges related to performance metrics such as scalability, latency, power consumption, and signal integrity. This project addresses the issues within the router's memory unit and proposes an enhanced memory structure. To achieve efficient data transfer, FIFO buffers are implemented in distributed RAM and virtual channels for FPGA-based NoC. The project introduces advanced FIFO-based memory units within the NoC router, assessing their performance in a Bi-directional NoC (Bi-NoC) configuration. The primary objective is to reduce the router's workload while enhancing the FIFO internal structure. To further improve data transfer speed, a Bi-NoC with a self-configurable intercommunication channel is suggested. Simulation and synthesis results demonstrate guaranteed throughput, predictable latency, and equitable network access, showing significant improvement over previous designs.

Download

This paper proposes an automated system that leverages machine learning-based classification methods to identify fraudulent job postings on the web. Various classifiers are employed to validate the fake posts, and the outcomes are compared to determine the most effective job scam detection strategy. The system aids in discerning fake job advertisements among numerous posts. Two primary types of classifiers are utilized: single classifiers and ensemble classifiers. The test results indicate that ensemble classifiers outperform single classifiers in detecting scams.
 

Download

In the world with high technology and fast forward mindset recruiters are walking/showing interest towards E-Recruitment. Present most of the HRs of many companies are choosing E-Recruitment as the best choice for recruitment. E-Recruitment is being done through many online platforms like Linkedin, Naukri, Instagram , Facebook etc. Now with high technology E-Recruitment has gone through next level by using Artificial Intelligence too.

Download

In the present research, an evaluation is conducted to determine the influence of capital structure on the performance of Indian enterprises. The capital structure of a company is often recognised as an important component that has the capacity to influence the continuous success of the company. A total of 2121 wholesale trade and manufacturing enterprises that are listed on the Bombay Stock Exchange (BSE) were included in the sample that was collected for the research. The results of this research, which were calculated using a Panel data model over the period of time spanning from the fiscal year 2018 to 2023, indicate that leverage does not have a substantial impact on the performance of the sample.

Download

Working remotely or work from home is now new normal in this COVID 19. Face to face interaction and rushed workstation is now avoided due to social distancing and most of the targets or job has been done thorough online mode. In this era, technology gained momentum which resultant into growth or application of artificial intelligence in various functions of management. It helps the organizations to work in faster way and efficient way to complete the work. Like any other functions AI also enhanced the function of HR which begin with the automated recruitment process to performance appraisal and T&D. The present articles analyze the role of AI in various HR functions. It also tries to explore various opportunities and challenges of AI in HRM. The article has concluded that a role of AI is very important to carry out the various functions of human resource department where by AI can handle recruitment, hiring, performance appraisal , T&D, allocating the Jobs, reducing workload at workplace and enriching workplace efficiency. The study will also give a brief understanding of the future goal of artificial intelligence.

Download

When playing a video game, what aspects enhance the experience for the player? How can we guarantee that each and every game we play will be entertaining and engaging? This study primarily focuses on these two aspects. Many factors contribute to a player's enjoyment of video games, but in predator/prey games, player strategy and conduct are of the utmost importance. Determining what makes an opponent's moves "interesting" requires some introspection into the psychological aspects of the game and the development of a mathematical formula grounded on real-world facts. Using this paradigm, neural-network opponent controls may be implemented in dynamic game scenarios that restrict the length of time agents can communicate with each other, promoting cooperation in space. Investigations on beneficial team practices are underway due to the difficulty of the predator job. The objective is to outperform the opponent, therefore basic neural controls are used in off-line learning approaches to make initial decisions. Then, these example controls are transformed into interesting opponents using online learning techniques, i.e., while playing. To evaluate the efficacy of online education, we use two predator-prey games and a battery of tests including various computer player techniques. It demonstrates that regardless of the complexity of the game field or changes to the player or original opponent's controller, it functions identically on both test beds for both games. The interest metric is compared to people's ratings of how much they love a game in an informal poll. In order to gauge the level of interest in a test-bed game, a sizable sample of players were asked to assess their experiences with the game. After that, the players' scores were compared to the proposed interest measure. It turns out that players' ratings of their own enjoyment of a game are compatible with the attention metric.Finally, the approach and strategy proposals are evaluated according to their practicality, adaptability, and feasibility. It also considers the player's own strategy and other variables that impact the player's satisfaction. Future directions are considered and proposed based on the work detailed here.

Download

Mathematical concepts such as counting, measuring, and object shape characterisation are the foundation of a discipline that emphasises structure, order, and relation. Data science jobs necessitate mathematical proficiency for the execution of analyses, the development of machine learning algorithms, and the drawing of conclusions from collected data. Mathematics is an essential part of data science. Optimising model performance, addressing problems, and interpreting complex data to answer business-related queries are all areas it may help with. Many parts of our lives have been profoundly altered by the advent of artificial intelligence (AI). When it comes to the incredible developments and powers of AI, mathematics is crucial. Among the many subfields that make up mathematics are statistics, probability, geometry, calculus, trigonometry, and algebra. Artificial intelligence (AI) systems can reason, learn, and make smart decisions since mathematics is their foundation. The essay delves into the application and significance of mathematics in AI. Mathematics is the bedrock of artificial intelligence models and algorithms, allowing machines to process, analyse, and interpret data on a massive scale. Machine learning algorithm development necessitates familiarity with calculus, linear algebra, probability theory, statistics, and statistics. These algorithms use mathematical equations and functions to classify data, identify patterns, and predict outcomes.

Download