A Lightweight Sensor Scheduler Based on AoI Function for Remote State Estimation over Lossy Wireless Channels

This paper investigates the problem of sensor scheduling for remotely estimating the states of heterogeneous dynamical systems over resource-limited and lossy wireless channels. Considering the low time complexity and high versatility requirements of schedulers deployed on the transport layer, we propose a lightweight scheduler based on an Age of Information (AoI) function built with the tight scalar upper bound of the remote estimation error. We show that the proposed scheduler is indexable and sub-optimal. We derive an upper and a lower bound of the proposed scheduler and give stability conditions for estimation error. Numerical simulations demonstrate that, compared to existing policies, the proposed scheduler achieves estimation performance very close to the optimal at a much lower computation time

The Congestion Evolution of Jingzang Expressway and the Analysis on Participants’ Behavior

Road transportation networks are experiencing ever growing recurrent congestion and non-recurrent in developing China, which is a concurrent event. This paper takes Jingzang Expressway(G6) as an example, describes the saturation flow along the G6 compared with its designed capacity by the actual volume of each segment according to the density and structural characteristics of cars and trucks, and presents the congestion evolution in the past three years. Then provide inharmonious surveillance analysis among regions along this highway and game behavior between administers and carriers based on cost analysis. Finally, we point out that congestion is not only the road itself problems but also a social system problem, which should be transformed in the long term. Now we can apply some Intelligent Transport System to mitigate congestion

Short-term power generation scheduling rules for cascade hydropower stations based on hybrid algorithm

AbstractPower generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were obtained by calculating the daily runoff process within three typical years, and a large number of simulated daily runoff processes were obtained using the progressive optimality algorithm (POA) in combination with the genetic algorithm (GA). After analyzing the optimal scheduling processes, the corresponding scheduling rules were determined, and the practical formulas were obtained. These rules can make full use of the rolling runoff forecast and carry out the rolling scheduling. Compared with the optimized results, the maximum relative difference of the annual power generation obtained by the scheduling rules is no more than 1%. The effectiveness and practical applicability of the scheduling rules are demonstrated by a case study. This study provides a new perspective for formulating the rules of power generation dispatching

Engineering On‐Demand Magnetic Core‐Shell Composite Wound Dressing Matrices via Electrohydrodynamic Micro Scale Printing

Herein, electrohydrodynamic (EHD) printing is utilized to produce well-ordered, dual-drug loaded-magnetic core–shell matrices with high resolution. Coaxial EHD printing is used to load anesthetic lidocaine hydrochloride (LH) and antibiotic tetracycline hydrochloride (TH) in polycaprolactone (PCL) shell formulation and poly (ethylene oxide) (PEO) core formulation, respectively. It is found that when the concentration of PEO is 5% w/w, the fibers exhibit optimum morphology, which is applied in the fabrication of two drug-loaded core–shell fibers. In addition, adding iron oxide (Fe3O4) nanoparticles (NPs) and varying the concentration of TH within the PCL shell layer influence mechanical properties, release behaviors, and cell behaviors of coaxial EHD printing matrices. The addition of Fe3O4 NPs and increasing TH amount in the fibers enhance the mechanical properties of the matrices. Results show rapid release of LH located in the PEO core fibers, while TH loaded in the shell PCL fibers is released sustainably from the coaxial printing matrices. In addition, the sustainable release period for PCL shell layer can be adjusted using Fe3O4 NPs under auxiliary magnetic field. The coaxial drug-loaded matrices also have good bioactivity, indicating the potential of the printed fibers in wound dressings

High Precision 3D Printing for Micro to Nano Scale Biomedical and Electronic Devices

Three dimensional printing (3DP), or additive manufacturing, is an exponentially growing process in the fabrication of various technologies with applications in sectors such as electronics, biomedical, pharmaceutical and tissue engineering. Micro and nano scale printing is encouraging the innovation of the aforementioned sectors, due to the ability to control design, material and chemical properties at a highly precise level, which is advantageous in creating a high surface area to volume ratio and altering the overall products’ mechanical and physical properties. In this review, micro/-nano printing technology, mainly related to lithography, inkjet and electrohydrodynamic (EHD) printing and their biomedical and electronic applications will be discussed. The current limitations to micro/-nano printing methods will be examined, covering the difficulty in achieving controlled structures at the miniscule micro and nano scale required for specific applications