Abstract: A distributed task offloading and computing resources management method based on energy harvesting is provided, including: establishing a task local computing model and an edge cloud computing model; establishing a device maximum benefit objective function based on the perturbation Lyapunov optimization algorithm and a mobile edge computing server maximum benefit objective function; pre-selecting, by the device based on a pre-screening criteria, a mobile edge computing server for task offloading; calculating an optimal task size strategy for performing task offloading by the device to the selected mobile edge computing server by using a Lagrange multiplier algorithm and a KKT condition; obtaining an optimal quotation strategy of the mobile edge computing server for the device in each of time slots; and obtaining a solution of the optimal task size strategy meeting a Stackelberg equilibrium and a solution of the optimal dynamic quotation strategy meeting the Stackelberg equilibrium as a resource allocation str

Abstract: A distributed task offloading and computing resources management method based on energy harvesting is provided, including: establishing a task local computing model and an edge cloud computing model; establishing a device maximum benefit objective function based on the perturbation Lyapunov optimization algorithm and a mobile edge computing server maximum benefit objective function; pre-selecting, by the device based on a pre-screening criteria, a mobile edge computing server for task offloading; calculating an optimal task size strategy for performing task offloading by the device to the selected mobile edge computing server by using a Lagrange multiplier algorithm and a KKT condition; obtaining an optimal quotation strategy of the mobile edge computing server for the device in each of time slots; and obtaining a solution of the optimal task size strategy meeting a Stackelberg equilibrium and a solution of the optimal dynamic quotation strategy meeting the Stackelberg equilibrium as a resource allocation str

Abstract: A task offloading and resource allocation method in an uncertain network environment is provided. A task offloading process is modeled as a two-stage offloading model. The model is optimized to a task offloading and resource allocation problem based on two-stage stochastic programming. Based on a stochastic simulation algorithm, the task offloading and resource allocation problem is transformed to a sample mean approximation problem. The sample mean approximation problem is decoupled to a local computing resource allocation sub-problem, a transmission power and edge computing resource joint allocation sub-problem, and an offloading decision sub-problem. The three sub-problems are solved respectively by using a standard Lagrange multiplier algorithm, by using a genetic algorithm, and by analyzing delay estimation and energy consumption budget of local computing and delay estimation and energy consumption budget of edge computing.

Abstract: A method for preparing iron alloy and a cement material, in the field of solid waste recycling, provides an efficient, synergistic effect between main components of carbon, calcium and heavy metal in municipal solid waste incineration (MSWI) fly ash and main components of iron, aluminum and silicon in red mud, so that the iron alloy and cement material can be readily obtained. By using waste to treat waste and using the complementarity of the components of two waste streams, carbon in the MSWI fly ash may provide a reductant to accelerate an iron mineral in the red mud to reduce into metal iron. With the formation of the metal iron, a siderophile heavy metal element in the MSWI fly ash is also accelerated to enter an iron phase. Meanwhile, the cement material is formed by Al2O3 and SiO2 in the red mud and CaO in the MSWI fly ash.

Abstract: Embodiments of the present disclosure provide a delivery device configured to deliver a main stent with a fenestration, including a core assembly, an outer sheath, which is hollow and mounted around the core assembly with a delivering gap defined therebetween, and a pre-embedded guidewire. The delivering gap has a distal end for receiving the folded main stent. The pre-embedded guidewire enters the delivering gap through the proximal end thereof and extends to the distal end thereof. The pre-embedded guidewire has a distal end configured to enter into the main stent from an outside thereof via the fenestration, and the pre-embedded guidewire is configured to guide a branch guidewire to pass through the main stent from an inside to the outside thereof via the fenestration. The present disclosure has the advantage of decreasing difficulty for the branch guidewire passing through the main stent.

Abstract: Embodiments of the present disclosure provide a delivery device for controlling the release of a stent in a stepwise manner, including: a core assembly, an outer sheath, which is hollow and mounted around an outer periphery of the core assembly, with a delivering gap being defined therebetween which has a distal space for receiving the folded stent; and a stent restraining assembly, configured to restrain a released part of the stent to be partly unfolded when the stent is in a partly released state in such a way to restrain an outer diameter of the released part of the stent, and to make the stent be fully unfolded when the stent is in a completely released state. Embodiments of the present disclosure further provide a delivery system for controlling the release of a stent in a stepwise manner. The present disclosure facilitates adjust the position of the stent.

Abstract: A method for preparing iron alloy and a cement material, in the field of solid waste recycling, provides an efficient, synergistic effect between main components of carbon, calcium and heavy metal in municipal solid waste incineration (MSWI) fly ash and main components of iron, aluminum and silicon in red mud, so that the iron alloy and cement material can be readily obtained. By using waste to treat waste and using the complementarity of the components of two waste streams, carbon in the MSWI fly ash may provide a reductant to accelerate an iron mineral in the red mud to reduce into metal iron. With the formation of the metal iron, a siderophile heavy metal element in the MSWI fly ash is also accelerated to enter an iron phase. Meanwhile, the cement material is formed by Al2O3 and SiO2 in the red mud and CaO in the MSWI fly ash.