Enhancing Squad Rating with Emotional Dynamic Parameters Influencing Adaptive Gameplay Strategies Sreenarayanan N M, Partheeban N 2025 International Conference on Data Science and Business Systems Icdsbs 2025, 2025 Emotions also play a major role in controlling player behavior and decision-making in video games. Adaptive game strategies use real-time emotional reactions to produce a dynamic and engaging gaming environment. This paper discusses the influence of several emotional parameters, including frustration, excitement, and involvement, on game adaptation. By integrating emotion detection technologies and artificial intelligence, game designers can make systems that react to player emotions, thus improving user satisfaction and enjoyment. The research, therefore, seeks to shed light on the effects of emotional elements on adaptive game mechanisms and proposes future work in incorporating emotion-based interactions into game development. Emotions are essential in influencing player behavior and decision-making in adaptive games. This paper examines some of the emotional parameters that affect how players adapt their strategies in dynamic gaming environments. Through the examination of physiological, psychological, and behavioral reactions, we seek to present a framework for integrating emotional adaptation into game design. Our results indicate that incorporating real-time emotional evaluation into adaptive game mechanics can improve player engagement, learning achievements, and overall experience. Classic team rating systems used in competitive gaming depend primarily on statistical performance measures, i.e., win-loss ratio and player stats. Yet these approaches usually fail to account for essential parameters concerning emotional dynamics, such as teamwork, communication, stress, and morale, that strongly influence total performance. This study examines integrating emotional dynamics with team rating systems and contrasts their effectiveness with classical rating systems, including normal distribution-based ones. Through the use of Emotional resilience and teamwork metrics, we prove that emotionally responsive rating systems better measure team performance with greater accuracy, equity, and predictability. Our study indicates the effectiveness of emotionally dynamic ratings in increasing matchmaking accuracy, competitive fairness, and player satisfaction in multiplayer game settings.
A Framework for Designing Behaviour Tree Artificial Intelligent Game Based on Dynamic Human Emotions Sreenarayanan N M, Partheeban N Journal of Machine and Computing, 2025 An adaptive game design includes human emotions as a key factor for selecting the next level of harness in the game design. In most of the situation, face expression could not identified exactly and this may leads to an uncertainty for selecting a next level in the game flow. An efficient game design requires an efficient behaviour tree construction model based on the emotions of a player. This paper presented an artificial intelligent based game design using behaviour tree model by including an efficient emotion detection or classification system using a deep learning model ResNet 50. The proposed technique classifies the emotion of a player based five different category and the player current state of mind will be calculated based on this emotion score. The Behavior tree has been constructed from the foundation based on the hardness value calculated for each sub-BT. The performance evaluation for the emotion classification archives close to 92% and this accuracy will lead to construct an efficient BT for any game. We have evaluated the emotion detection system with other related Deep learning models.
Data Synchronization Between MongoDB and Elasticsearch Using Monstache in Real-Time Data Anandhan Karunanithi, Janarthanan Sekar, Jerald Prasath G, Sreenarayanan N M, Pavan Kumar S P, Arjun K P 4th International Conference on Communication Computing and Industry 6 0 C216 2023, 2023 In database synchronization, data consistency is maintained between two or more databases required. Maintaining data consistency when synchronizing multiple databases poses many challenges and complexities. There are many domains in which data synchronization plays an essential role, including distributed systems, data replication, and multi-site database management. Our main aim is to design and develop a practical solution for achieving real-time data synchronization between MongoDB and Elasticsearch using Monstache. To avoid discrepancies, conflicts, and integrity issues, it is essential to ensure that data the consistent across multiple databases. It is generally a requirement for performing real-time analytics on the data stored in MongoDB. Specifically, our research has two different data sources for our use case: source databases that accept application modifications, and target databases that receive input from source databases. Database synchronization can be achieved using Mongo Connector, Transporter, Mongoosastic, NiFi, and Monstache. The reason to choose Monstache is that it perfectly matched our needs. Our research took into account MongoDB, which serves as the primary database, and Elasticsearch. In addition to using Elasticsearch/Kibana for dashboards, in our work use MongoDB for all transactions and operations. The results of our implementation show that two different databases are synchronized in real-time, achieving efficient and consistent data synchronization.
Principle Comprehension of IoT and Smart Manufacturing System Maya Shankar Jha, K. P. Arjun, N. M. Sreenarayanan Big Data Analytics in Smart Manufacturing Principles and Practices, 2022 Internet of Things (IoT) is evolving as the future of smart world. With the focus to provide smart and seamless facility to user, IoT developers are trying to provide good security as well. Machine-to-machine communication is making possibility for smart city with the help of IoT. From home automation to smart robots all are directly or indirectly built with IoT. In this chapter, we are going to focus over the platforms, operating systems, security and applications of IoT. We will also deal with the increasing industrial use cases of IoT. Industry 4.0 brings our technologies in industry into the next level. The last development in manufacturing technologies was taking physical data and digitalizing it. Now we are using different automation technologies such as AI, intelligent systems, and analytics. In the invention of IIoT, there is a direct jump to the smart manufacturing technologies with ability to improve operational process, boost production, greater efficiency, and take new service advantages.
Quantum Cryptography with Photon Polarization and Heisenberg Uncertainty Principle Gurkirat Singh, Aman Singh, N M Sreenarayanan 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2022, 2022 In this modern era, most cryptographic algorithms work on a basic principle to split integers into their primes. But the problem is that mathematics is also evolving at a very fast pace along with computing power so it is now more vulnerable to decryption, for example, one-way functions can be easily reversed along with factoring big integers. So, to solve this issue Quantum Physics gets involved with cryptography which further led to the concept of Quantum Cryptography. Quantum Cryptography is one of the fastest-growing technology in computer science. So, this paper is more focused on Quantum Cryptography technology and how it can be used to make our modern cryptographic era safeguard from top to bottom procedure related to getting more secure Key-transfer. This paper's scope is to cover all the vulnerabilities of the current cryptosystem, the uses of this technology in the real-world scenario, the limitations when used in real-world situations, and also what will be the future of Quantum Cryptography and the path it should head towards. We have tried to use tools and protocols which is modified to use the quantum key transfer by which the user's using it will not have access to each other's personal information, instead of sharing any private or public key in advance, we transfer an unordered quantum transmission which consists of a very little flash of polarized light.
A novel visual cryptographic scheme for improved binary image quality K. Arya, Rakhee Baiju, N. M. Sreenarayanan, M. Lakshmi, Nimisha Mohan, M. K. Soumya, A. S. Aswathy, K. C. Reshmi 2016 International Conference on Information Communication and Embedded Systems Icices 2016, 2016
