Dynamic voltage scaling based energy-minimized partial task offloading in fog networks

Wireless Networks - With the dynamic voltage scaling (DVS) technology, the terminal node (TN) can dynamically adjust its computational speed, thus providing a new way to save energy during task...     

Multi-UAV Collaborative Wireless Communication Networks for Single Cell Edge Users

Mobile Networks and Applications - Due to fast deployment, strong survivability and flexible scheduling, multiple unmanned aerial vehicles (UAV) can synergistically optimize the trajectory and...     

Graph-Theoretic Method on Topology Identification of Stochastic Multi-weighted Complex Networks with Time-Varying Delayed Coupling Based on Adaptive Synchronization

Neural Processing Letters - This paper is concerned with topology identification of stochastic multi-weighted complex networks based on adaptive synchronization. Different from previous work,...     

Effects of structural parameters on water film properties of transpiring wall reactor

Corrosion and salt deposition problems severely restrict the industrialization of supercritical water oxidation. Transpiring wall reactor can effectively weaken these two problems by a protective water film. In this work, methanol was selected as organic matter, and the influences of vital structural parameters on water film properties and organic matter removal were studied via numerical simulation. The results indicate that higher than 99% of methanol conversion could be obtained and hardly affected by transpiration water layer, transpiring wall porosity and inner diameter. Increasing layer and porosity reduced reactor center temperature, but inner diameter's influence was lower relatively. Water film temperature reduced but coverage rate raised as layer, porosity, and inner diameter increased. Notably, the whole reactor was in supercritical state and coverage rate was only approximately 85% in the case of one layer. Increasing reactor length affected slightly the volume of the upper supercritical zone but enlarged the subcritical zone.     

基于人工神经网络的智能化架空线路应变快速解调方法北大核心

为了提高智能化光纤复合架空线路态势感知的实时性,将人工神经网络方法应用于光纤沿线应变解调,确定了神经网络的结构。编程实现了基于洛伦兹模型的最小二乘谱拟合方法和神经网络方法,采用不同信噪比和布里渊频移的布里渊谱训练神经网络,将它们应用于某光纤复合架空线路沿线光纤应变的测量,从不同角度比较了两种方法的计算结果。计算结果表明,神经网络方法能有效获得光纤沿线的布里渊频移进而获得应变,具有与谱拟合方法相似的准确性,但应变解调时间仅约为谱拟合方法的1/20000。研究结果为提高智能光纤复合架空线路态势感知的实时性提供了参考。     

采用QuEChERS结合UHPLC-MS/MS定量分析热加工肉制品中的三种胺类物质

本文采用QuEChERS技术结合超高效液相色谱-串联质谱（UHPLC-MS/MS）技术建立同时检测丙烯酰胺（AA）、亚硝胺（NAs）和杂环胺（HAAs）含量的方法，用于分析热加工肉制品中产生的胺类物质。结果表明:该方法检测出的三类成分20种胺类物质在相应浓度范围内显示出良好的线性关系（R2>0.991），检测限和定量限分别为0.01~1.6 ng/g和0.03~4.8 ng/g，日内回收率介于66.3%~116.5%之间，日内精密度介于0.78%~9.0%之间。每个胺类物的5×LOQ加标水平计算的日间精度范围为3.4%~9.4%。该方法应用于煎烤的四种肉制品中AA、NAs和HAAs的分析，共检测出9种胺类物质，浓度范围为0.03~31.26 ng/g。