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The outcomes obtained can be used to determine the optimal sequences of tests for each individual cost-function by following the ODPF procedure. The results show that the best single Ewing test for diagnosing CAN is the deep breathing heart rate variation test. Optimal sequences found for the cost-function equal to the number of tests guarantee that the best accuracy is achieved after any number of tests and provide an improvement in comparison with the previous ordering of tests or a random sequence.

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In an environmental context, the use of RFID (Radio Frequency Identification) and load cell sensor technology can be employed for not only bringing down waste management costs, but also to facilitate automating and streamlining waste (e.g., garbage, recycling, and green) identification and weight measurement processes for designing smart waste management systems. In this paper, we outline a RFID and sensor model for designing a system in real-time waste management. An application of the architecture is described in the area of RFID and sensor based Automatic Waste Identity, Weight, and Stolen Bins Identification System (WIWSBIS).

Product counterfeiting and theft are ongoing problems in supply chains and retail environments, but not a lot of work has been done to address these problems through the cost-effective use of auto-identification technologies such as bar-codes, near-field communication (NFC), or radio-frequency identification (RFID). In this paper, we propose an RFID-based anti-counterfeiting and anti-theft scheme that can be used to detect counterfeit items at the point of purchase by a consumer. The proposed system is lightweight and suited for deployment in large-scale retail environments using low-cost passive tags. We also undertake an analysis of a recent scheme proposed by Tran and Hong to highlight some of the weaknesses of their scheme. A detailed security analysis of the proposed scheme shows that it satisfies the formal requirements of security correctness and is resistant to compromise through security attacks.