American Research Journal of Computer Science and Information Technology

Vadym Bychkov

This study aims to optimize big data processing algorithms for esports platforms, addressing the unique challenges posed by the industry’s rapid growth and data complexity. The research employs a multifaceted approach, combining adaptive stream processing techniques, multi-level data storage architectures, and ensemble machine learning models. Key innovations include a dynamic window sizing algorithm for real-time data analysis, a hybrid LSTM-XGBoost model for player performance prediction, and an adaptive load balancing system based on multi-agent theory. The proposed framework demonstrates significant improvements in processing latency (40% reduction), system throughput (65% increase), and prediction accuracy (25% enhancement) compared to traditional methods. These advancements lay the foundation for next-generation analytical platforms in esports, offering potential applications in other domains requiring real-time processing of dynamic, large-scale datasets. The study’s novelty lies in its tailored approach to esports-specific data characteristics and its integration of cutting-edge techniques from diverse fields of computer science.

Nikhil Badwaik

The research is devoted to the analysis of various approaches to the organization of Front-end development with an emphasis on optimizing the architecture of web applications. The main focus is on the impact of structural solutions on performance, scalability, and ease of maintenance. The work examines various architectural strategies, such as modular division, and the use of micro-frontends and hybrid approaches, and analyzes their effectiveness in the context of current trends in technology development. By comparing theoretical foundations and practical examples, the key factors influencing the choice of architecture for specific projects are identified. The study shows how adaptation to changing requirements and pre-planning contribute to the creation of stable and aesthetically pleasing web applications.

Nikhil Badwaik

The article discusses modern approaches and methods of designing systems that can adapt to changing operating conditions and market requirements. The emphasis is on the need to integrate scalability and reliability into architectural solutions that ensure smooth operation under various loads. This paper elaborates on the principles of designing scalable systems, encompassing the utilization of templates, antipatterns, subsystem decomposition, and asynchronous data processing. Strategies for high availability and fault tolerance, including data replication and the use of distributed databases, are also highlighted. The importance of collaboration of various components of the system with minimizing dependencies is emphasized to achieve optimal performance and save resources.

Viralsinh Solanki

This paper touches upon the challenges and prospects of integrating information technologies, specifically MES systems, into production processes. Through a detailed case study at a manufacturing company, the article highlights how MES systems can streamline workflows, automate tasks, and provide real-time feedback to enhance plant floor efficiency and productivity. Key challenges such as data integration, change management, and data security are considered as well. The crucial role of a skilled leader in successful MES integration is emphasized, showcasing how effective project management and technical expertise can drive significant improvements in manufacturing operations.

Dr. Ramadan Elaiess 

Metadata is critical to the success of digital repositories since it serves as the foundation for the functioning and usability of institutional repositories. Metadata is used to define digital items so that they may be found, preserved, and managed more easily. Quality metadata is critical for building a successful institutional repository because it allows users to quickly and properly discover and access digital objects of interest. The purpose of this article is to investigate the significance of metadata quality in institutional repositories, as well as the principles and best practices for generating successful metadata. It is commonly established that the quality of metadata in digital repositories influences the repository’s success, hence it is critical to guarantee that information is of high quality. Therefore, in order to create a successful repository, it is vital to fully understand the guiding principles and best practices for creating useful metadata. In terms of methodology, various tools have been used and applied to accomplish the objective of this paper such as personal readings of intellectual production, literature review, experience, and the insights of other experts and specialists. The paper concludes that metadata is of great importance for institutional repositories as it is required for effective digital resource management, discovery, and ‎reuse as well as for ‎digital resource interchange, preservation, and ‎measurement of impact. 

Vedant Jadhav*1, Shantanu Tripathi1, Yashdeep Shetty1, Aakash Tiwari1 and Arun Chauhan2

The Internet is widely utilized as a platform for exchanging information and ideas. In these encounters, a large volume of textual data is produced. NLP requires a large amount of data for training, which can be found on social networking platforms such as Facebook, Twitter etc.(Shetty) Sarcasm identification, fake news detection, sentiment analysis, and other similar tasks have become possible and valuable. We have trained different transformer-based models on Marathi, a low-resource regional language, and compare their performance in this study (Magueresse et al., 2020). We present that MuRIL gives better performance than other Transformer based models.

Marius Orlowski

Novel recursive matrix algorithm for the transitive closure is proposed that is computationally more efficient than the closure theorem O(n4) and runs only slightly longer in time O(n3ln2 (n)) than the Warshall algorithm O(n3). However, the proposed algorithm can be combined with advanced, extant algorithms by Chan, Zwick, and Margalit to further improve its bit operation performance. From the recursive matrix algorithm a simple criterium can be derived to ascertain whether some given adjacency matrix of a graph with n nodes already represents a transitive closure. If the criterium is met, the calculation of the transitive closure by any other algorithm can, obviously, be eschewed.

Anushika Chauhan1, Dr. Vijay Kumar Tiwari2 

Federated Identity Management (FIM) is a collaboration of different federations coming together for the purpose of sharing each other’s resources and providing a Single Sign-On facility to the end user. Despite the profitability there are certain issues, vulnerabilities and security aspects that hinder the widespread acceptance of the FIM. These security issues include Snooping, Modification, Masquerading, Replay Attacks, Denial of Service, Escalation of Privileges, Brute Force and Phishing. We have also explored Trusted Computing Technologies-Trusted Platform Module and Trusted Network Connect. Based on our analysis we provide a Trusted Computing framework which can be used to mitigate all the obstacles for the better functioning and acceptance of FIM.

Anam Fatima1, Dr. Vijay Kumar Tiwari2

 Bitcoin, the term coined by a person or group pseudonymously called Satoshi Nakamoto, is considered the world’s first decentralized digital currency. Since its release in 2009, there has been tremendous growth in market value of Bitcoin, with anonymity and distributed nature removing the need for any central authority being the driving force for its popularity. The technology is relatively new and complex for a layman to understand. However, there has been enough hype about it which has drawn the attention of researchers and nemesis alike to expose vulnerabilities in the system as well as explore the future perspectives of this new concept. This paper analyses major components of Bitcoin and related concepts of Blockchain, highlighting a few security concerns/ motivation to explore the future perspectives of this technology which is being considered analogous to the Internet revolution.

Sergey Orlov 

The atomic structure is presented on the basis of the theory of vortex gravitation. The feasibility and calculation of the values of the density and mass of electromagnetic particles are proposed. A calculation is made, which proves that the photon must have mass. In the calculations, some physical characteristics of electromagnetic particles that are accepted by modern physics are refuted.