Adopting RFID for body parts tagging: a Local Association Network approach

Adopting an innovative technology often requires extensive intelligence research. A major value indicator for RFID Technology adoption is how the potentials of RFID can translate into actions to improve business operational efficiency [1]. This paper presents a Local Association Network (LAN) approach to developing RFID enabled visibility systems for body tagging. On site testing validates the proposed approach. User feedback strengthens our belief that the proposed approach would help facilitate RFID technology adoption in body tagging. © 2010 IEEE.published_or_final_versio

How reproducible are surface areas calculated from the BET equation?

Porosity and surface area analysis play a prominent role in modern materials science. At the heart of this sits the Brunauer-Emmett-Teller (BET) theory, which has been a remarkably successful contribution to the field of materials science. The BET method was developed in the 1930s for open surfaces but is now the most widely used metric for the estimation of surface areas of micro- and mesoporous materials. Despite its widespread use, the calculation of BET surface areas causes a spread in reported areas, resulting in reproducibility problems in both academia and industry. To prove this, for this analysis, 18 already-measured raw adsorption isotherms were provided to sixty-one labs, who were asked to calculate the corresponding BET areas. This round-robin exercise resulted in a wide range of values. Here, the reproducibility of BET area determination from identical isotherms is demonstrated to be a largely ignored issue, raising critical concerns over the reliability of reported BET areas. To solve this major issue, a new computational approach to accurately and systematically determine the BET area of nanoporous materials is developed. The software, called "BET surface identification" (BETSI), expands on the well-known Rouquerol criteria and makes an unambiguous BET area assignment possible

Oblique axial MR imaging of the normal anterior cruciate ligament bundles

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Developing local association network based IoT solutions for body parts tagging and tracking

Traditional Internet is commonly wired with machine to machine persistent connections. Evolving towards mobile and wireless pervasive networks, Internet has to entertain dynamic, transient, and changing interconnections. The vision of the Internet of Things furthers technology development by creating an interactive environment where smart objects are connected and can sense and react to the environment. Adopting such an innovative technology often requires extensive intelligence research. A major value indicator is how the potentials of RFID can translate into actions to improve business operational efficiency (Luo et al., 2008). In this paper, the authors will introduce a local association network with a coordinated P2P message delivery mechanism to develop Internet of Things based solutions body parts tagging and tracking. On site testing and performance evaluation validate the proposed approach. User feedback strengthens the belief that the proposed approach would help facilitate the technology adoption in body parts tagging and tracking