Acquisition of a Computational Cluster Grid for Research and Education in Science and Mathematics

该项目建立了两台集群机器，它们之间具有一些灵活的网络，以便在不同的CS和科学学科中进行研究，其中支持以下研究领域：智能代理、网络控制和管理、数据挖掘和图论。利用多智能体和基于知识的推理技术开发的电子学习和航海训练系统，为教育学习系统和海员航海训练系统提供了一个高效、实时、智能和交互的分布式训练环境。了解使用集群网格的网络控制和管理系统提供了一种新的方法，可以更好地处理关键任务，如服务提供、故障检测和网络保护，在这些任务中，传统方法不能扩展/可靠或过于复杂。用于生物信息学系统(例如，基因疾病关联)的高效和有效的机器学习、文本挖掘和自然语言处理(NLP)技术的发展有助于分析大量的电子生物医学文本。计算机程序自动生成有趣的图论猜想，供理论家证明或驳斥。

This project, establishing two cluster machines with some flexible networking between them in order to conduct research in various CS and science disciplines, supports, among others, the following research areas: intelligent agents, network control and management, data mining, and graph theory. The development of e-learning and navigation training systems using multi-agent and knowledge-based reasoning techniques presents an efficient, real-time, intelligent and interactive distributed training environment for an educational learning system and seafarers navigation training system. An understanding of network control and management system using cluster grid provides a new approach to better handle critical tasks such as service provision, fault detection, and network protection where traditional approaches are not scalable/reliable or too complex. The development of efficient and effective machine learning, text mining, and natural language processing (NLP) techniques for bioinformatics systems (e.g. gene disease associations) aids in analyzing volumes of electronic biomedical texts. Computer programs automatically generate interesting graph theory conjectures for theorists to prove or refute.