The ISPnA Lab, part of the School of Computer Software of Daegu Catholic University, conducts active research in the areas of system software, distributed systems, intelligent networks, and IoT applications. Our research focuses on core system software technologies, including operating systems, network protocols, distributed systems, and embedded systems. Our focus is on efficient resource management, data processing, and reliable system design in large-scale distributed environments. In particular, we are leading the development of data management and event propagation algorithms for diverse environments, including cloud computing, Mobile Ad Hoc Networks (MANETs), and Vehicular Ad Hoc Networks (VANETs). We apply cutting-edge theories such as fuzzy logic and rough sets to enhance system performance and reliability through diverse research on caching, anomaly detection, and reliability management. We also focus on solving practical application problems, such as low-latency pub/sub systems in IoT environments and improving interoperability between clouds. In the field of intelligent networks and IoT applications, we are developing and applying various intelligent network protocols, including fuzzy logic-based multi-hop broadcasting algorithms, intelligent alert message propagation, and trust management systems, to real-world applications. We research real-time data collection, analysis, and dissemination technologies in diverse scenarios, including smart homes, disaster site information collection, and vehicle networks. We are also developing innovative application technologies, such as ontology-based Activities of Daily Living (ADL) recognition systems and mobile application-based information collection systems. This research plays a crucial role in establishing the core infrastructure of a future intelligent society and is contributing to the development of innovative network and system software technologies that satisfy diverse requirements such as real-time performance, reliability, and scalability. Our lab encompasses theoretical research and practical applications, taking the lead in solving diverse problems encountered in industrial settings. Going forward, the ISPnA Lab plans to continue its leading research in systems software, distributed systems, intelligent networks, and IoT applications, contributing to the advancement of next-generation information and communication technologies.
Research Projects
Design and Evalution of an Fuzzy Ontology based Context-Aware Vehicular Traffic Control Model
Design and Evaluation of a Rough Sets based Adaptive Vehicular Content Caching Method for Content-Centric Vehicular Networks