7 research outputs found
Wireless Communication Networks for Gas Turbine Engine Testing
No full textA new trend in the field of Aeronautical Engine Health Monitoring is the implementation of wireless sensor networks (WSNs) for data acquisition and condition monitoring to partially replace heavy and complex wiring harnesses, which limit the versatility of the monitoring process as well as creating practical deployment issues. Using wireless technologies instead of fixed wiring will fuel opportunities for reduced cabling, faster sensor and network deployment, increased data acquisition flexibility and reduced cable maintenance costs. However, embedding wireless technology into an aero engine (even in the ground testing application considered here) presents some very significant challenges, e.g. a harsh environment with a complex RF transmission environment, high sensor density and high data-rate. In this paper we discuss the results of the Wireless Data Acquisition in Gas Turbine Engine Testing (WIDAGATE) project, which aimed to design and simulate such a network to estimate network performance and de-risk the wireless techniques before the deployment
Information-driven sensor selection for energy-efficient human motion tracking
No full text10.1109/DCOSS.2013.55Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCoSS 201311-1
Empirical modeling of a solar-powered energy harvesting wireless sensor node for time-slotted operation
No full textAn empirical study of harvesting-aware duty cycling in environmentally-powered wireless sensor networks
No full textEffect of dietary supplementation of yeast culture Saccharomyces cerevisiae in lactating female goats
No full textThis study was designed to investigate the effects of adding a novel yeast culture, Saccharomyces cerevisiae refermented sorghum distiller's dried grains with solubles (SSDDGS), to the diets of lactating female goats on lactation performance and lamb growth performance. We divided 10 lactating Dazu black goats of similar age, weight, and offspring into two groups: one fed a pelleted diet with 50 g/day SSDDGS (ET), and the other without SSDDGS as a control (EC) for 7 weeks. We monitor the weight changes of each goat and collect blood and milk samples from experimental ewes at specific times for hormone and milk composition determination. We use ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) to detect metabolites in the serum of lactating ewes. Our results showed that SSDDGS supplementation significantly reduced female goats' average daily weight loss during weeks 2–4 of lactation and increased serum IGF-1 and prolactin levels at week 4 (p < 0.05). SSDDGS supplementation in early lactation significantly increased milk protein, lactose, and ash content (p < 0.05). UPLC-MS/MS analysis showed that SSDDGS changed the levels of 58 metabolites in the serum of lactating goats. These metabolites were mainly involved in the sohingolipid signaling pathway, and cysteine, methionine, and sphingolipid metabolism. In summary, Yeast culture SSDDGS reduced weight loss, enhanced milk quality, and modified metabolic profiles in early lactation goats, providing insight into the potential regulatory role and mechanism of yeast culture in lactation female goats
Mobile target tracking for healthcare applications: Trade-off between accuracy and energy
No full text10.1109/HEALTH.2008.46001372008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008206-21
