An Enhanced Food Digestion Algorithm for Mobile Sensor Localization.

Mobile sensors can extend the range of monitoring and overcome static sensors' limitations and are increasingly used in real-life applications. Since there can be significant errors in mobile sensor localization using the Monte Carlo Localization (MCL), this paper improves the food digestion algorithm (FDA). This paper applies the improved algorithm to the mobile sensor localization problem to reduce localization errors and improve localization accuracy. Firstly, this paper proposes three inter-group communication strategies to speed up the convergence of the algorithm based on the topology that exists between groups. Finally, the improved algorithm is applied to the mobile sensor localization problem, reducing the localization error and achieving good localization results.

[Improvement researches on quality standard of Anemarrhenae Rhizoma and its raw processed products].

This study is to improve the quality standard and supply the scientific basis for Anemarrhenae Rhizoma and its raw processed products. Steroidal saponin including timosaponin BⅡ, timosaponin AⅢ and flavonoids including neomangiferin and mangiferin were selected as the indicative components. Silica gel G thin layer chromatography(TLC) and polyamide TLC were used to detect the two types of compounds, respectively. The contents of timosaponin BⅡ and timosaponin AⅢ were determined by HPLC-ELSD and the content of neomangiferin, mangiferin and isomangiferin were determined by HPLC-UV. Moisture, total ash and acid insoluble ash were determined according to Chinese Pharmacopoeia(2015 edition). And 80% ethanol was selected as the solvent and the content determination of total extract were determined. The fingerprints of Anemarrhenae Rhizoma and its raw processed products were established by HPLC-UV and HPLC-ELSD. The results showed that the methods of TLC and HPLC have been successfully stablished. There are 2 and 3 peaks which have been identified by HPLC-ELSD and HPLC-UV, respectively. The HPLC fingerprint methods are specific and can be used to identify and quality control for Anemarrhenae Rhizoma and its raw processed products in the mass. Comparing to Chinese Pharmacopoeia(2015 edition), the TLC identification and content determination were revised and the total extract determination and HPLC fingerprints were added in the present study. Our results can be used as the scientific basis of quqlity control for Anemarrhenae Rhizoma and its raw processed products.