A new idea to influence the sound insulation property of multi-layered woven fabric by the embedded tufting yarns is presented in this paper. The effect of layer number, layer orientation, tufting density and tufting pattern is investigated respectively, in the basis of sound transmission loss (STL) analysis measured by an impedance tube. The experimental results show that the sound insulation can be enhanced by increasing the number of layers or maintaining the same lay-up orientations. Moreover, the effect of tufting yarns on sound insulation is more sensitive in the low-middle frequency range and relatively more complicated. The obtained results can be applied in the part design, the preform engineering, and the positioning of tufting process.

The rapid growth of e-commerce has contributed to the booming distribution demand in rural areas but has also exposed the shortcomings of the lack of terminal facilities. The village-level pickup points (VPPs) and frequency of delivery represent among the most popular solution. In the plateau and mountainous areas where natural disasters are frequent, VPPs have been further advocated should undertake the emergency reserve and rescue function. However, optimally deploying facilities with peacetime and emergency demands remains challenging because of unique demand characteristics. This study presents a joint optimization model to determine the optimal parcel delivery periodic location-routing and prepositioned disaster response facilities location to fill the gap. The model considers the flexible choice of parcel delivery dates and the severity of natural disasters, integrates the objectives of delivery service economy (minimizing cost) and emergency response timeliness (minimizing maximum weighted travel risk). The developed model was applied to an empirical study of a rural township in Qingchuan county, Sichuan, which aimed to demonstrate its effectiveness and replicability. This study will help the plateau and mountainous public sector make informed decisions in assisting parcel delivery network design and rescue resource deployment.

Wireless localization can provide position information for limitary, aerospace, emergency scheduling, rescue and relief work, fault diagnosis and many other related location-based services system in various application fields. Location information always supports critical decision-making of these application systems. So the localization accuracy is of great importance. As availability, low computation complexity, and low cost, trilateration localization method is applied in various systems. However, as there are numerous negative factors like non-line-of-sight measurement, complex multipath fading, which leads to high level localization error. To improve localization accuracy, an improved trilateration localization method is proposed, which is called improved trilateration localization method with distance estimation quality evaluation and anchor node adaptive selection (IT-QEAS). In this method, the qualities of distances estimation between unknown node and anchor nodes are evaluated, and the anchor nodes with higher quality distance estimation are selected adaptively to form trilateration localization equations, and finally, location result with high accuracy could be gained. The experimental result with actual localization data is shown that the proposed method can get higher localization accuracy with low computation complexity.