Learn More
Please cite this article in press as: S. M Theory (2008), doi:10.1016/j.mechmach New challenges for intelligent reconfigurable manufacturing systems are on the agenda for the next generation of machine tool centres. Zero defect workpieces and just-in-time production are some of the objectives to be reached for better quality and high performance production.(More)
Wireless sensor networks (WSNs) provide an effective approach for underground pipeline inspection. Such WSNs comprise of sensor nodes (SNs) and relay nodes (RNs) for information sensing and communication. WSNs can perform accurate and realtime inspection, especially in adverse environments. However, transmitting information between underground and(More)
Wireless sensor networks (WSNs) provide an effective approach for underground pipeline inspection. Such WSNs comprise sensor nodes (SNs) and relay nodes (RNs) for information sensing and communication. WSNs can perform accurate and realtime inspection, especially in adverse environments. However, transmitting information between underground and aboveground(More)
With increasing demands for wireless sensing nodes for assets control and condition monitoring; needs for alternatives to expensive conventional accelerometers in vibration measurements have been arisen. Micro-Electro Mechanical Systems (MEMS) accelerometer is one of the available options. The performances of three of the MEMS accelerometers from different(More)
Provisioning of quality of service (QoS) is the ultimate goal for any wireless sensor network (WSN). Several factors can influence this requirement such as the adopted cluster formation algorithm. Almost all WSNs are structured based on grouping the sensors nodes into clusters. Not all contemporary cluster formation and routing algorithms (e.g. LEACH) were(More)
This paper presents the outcomes of experiments performed to acquire data and to evaluate various parameters to: (1) assess the feasibility of harvesting the energy from the ambient RF power to energize wireless sensor nodes, and, (2) characterize commercially available PowerCastTM energy harvester. The parameters of interest are: (1) Ambient RF power along(More)
Further to prior development in enhancing structural health using smart materials, an innovative class of materials characterized by the ability to feel senses like humans, i.e. 'nervous materials', is discussed. Designed at all scales, these materials will enhance personnel and public safety, and secure greater reliability of products. Materials may fail(More)
Embedding of fibers in materials has attracted serious attention from researchers and has become a new research trend. Such material structures are usually termed "smart" or more recently "nervous". Materials can have the capability of sensing and responding to the surrounding environmental stimulus, in the former, and the capability of feeling multiple(More)