Application of Artificial Immune System in Structural Health Monitoring

Artificial-immune-system approach enables monitoring structural health

Wireless sensor networks are emerging as useful tools for structural-health monitoring (SHM). While such networks offer a number of advantages, SHM systems face many challenges. Major issues include provision of sustainable, long-term, and autonomous monitoring, active detection and identification of structural damage, and development of adaptive approaches that can adjust to changing monitorin...

Application of Artificial Immune System

However we can distinguish three basic recommendation approaches: demographic, contentbased and collaborative [7], they are using many different general reasoning methods know from many other disciplines such as Artificial Intelligence, Expert Systems or Information Retrieval. Recently, the recommender systems also adopt some nature inspired methods such as artificial immune system [4,7]. In th...

A case study for application of fuzzy inference and data mining in structural health monitoring

In this study, a system for monitoring the structural health of bridge deck and predicting various possible damages to this section was designed based on measuring the temperature and humidity with the use of wireless sensor networks, and then it was implemented and investigated. A scaled model of a conventional medium sized bridge (length of 50 meters, height of 10 meters, and with 2 piers) wa...

Wireless structural health monitoring system

Application of Artificial Immune System Approach in MRI Classification

Numerous scholars have submitted the theory and research of artificial immune systems (AISs) in recent years. Although AIS has been used in various fields, applying the AIS to medical images is very rare. The purpose of this study is using the clonal selection algorithm (CSA) of artificial immune systems for classifying the brain MRI, and displaying a single organism image which can finally off...