Comparative evaluation of energy and resource consumption for vacuum carbothermal reduction and Pidgeon process used in magnesium production

With the fast development of the application of magnesium based alloys,the demand for primary magnesium is increasing dramatically all over the world.The Pidgeon process is the most widely used process for producing magnesium in China,but suffers from problems such as high energy,resource consumption and environmental pollution.While the process of vacuum carbothermal reduction to produce magnesium(VCTRM)has attracted more and more attention as its advantages,but it has not been well-practiced in industrial applications and there also is no comprehensive and quantitative analysis of this process.This study quantified the flows of resource and energy for the Pidgeon process and the VCTRM process,then compared and analyzed these two processes with each other from three aspects.The VCTRM process results in 63.14%and 69.16%lower of non-renewable mineral resources and energy consumptions when compared to the Pidgeon process,respectively.Moreover,the low energy consumption(2.675 tce vs.8.681 tce)and material to magnesium ratio(2.953:1 vs.6.429:1)of the VCTRM process,which lead to lower greenhouse gas(GHG)emissions(8.777 t vs.26.337 t)and solid waste generation(0.522 t vs.5.465 t)with a decrease of 66.67%and 90.45%,respectively.Results indicate that the VCTRM process is a more environmentally friendly process for magnesium production with high efficiency but low cost and low pollution,and it shows a good potential to be industrialized in the future after solving the bottleneck problem of the reverse reaction.

Resource pre-allocation algorithms for low-energy task scheduling of cloud computing

In order to lower the power consumption and improve the coefficient of resource utilization of current cloud computing systems, this paper proposes two resource pre-allocation algorithms based on the ＂shut down the redundant, turn on the demanded＂ strategy here. Firstly, a green cloud computing model is presented, abstracting the task scheduling problem to the virtual machine deployment issue with the virtualization technology. Secondly, the future workloads of system need to be predicted： a cubic exponential smoothing algorithm based on the conservative control（CESCC） strategy is proposed, combining with the current state and resource distribution of system, in order to calculate the demand of resources for the next period of task requests. Then, a multi-objective constrained optimization model of power consumption and a low-energy resource allocation algorithm based on probabilistic matching（RA-PM） are proposed. In order to reduce the power consumption further, the resource allocation algorithm based on the improved simulated annealing（RA-ISA） is designed with the improved simulated annealing algorithm. Experimental results show that the prediction and conservative control strategy make resource pre-allocation catch up with demands, and improve the efficiency of real-time response and the stability of the system. Both RA-PM and RA-ISA can activate fewer hosts, achieve better load balance among the set of high applicable hosts, maximize the utilization of resources, and greatly reduce the power consumption of cloud computing systems.

The Research Development of Respiratory Metabolism for Living Beings of Fishery Resources

[Objective]To describe the research development of respiratory metabolism for living beings of fishery resources home and abroad so as to provide reference for fishery production and management. [Method]Investigate research methods of respiratory metabolism about fish,shrimp, crab,shells and other living beings and analyze factors affecting their oxygen consumption rates and ammonia excretion rates according to research results of respiratory metabolism for living beings of fishery resources home and abroad. [Result] Respiratory metabolism is one of the important contents of bioenergetics research,an important part of energy balance research. It reflects not only the physiological status of living beings,but al- so the influence of environment condition on their physiological activities. Factors affecting respiratory metabolism are divided into biological factors and non-biological factors. By researching factors such as weight,temperature,activities,circadian rhythm,ingestion,Oxygen partial pressure and so on,we can evaluate respiratory metabolism of living beings of fishery resources. [Conclusion]Investigating from the individual physiology and e- cology to group physiology and ecology,the research provides data support for enhancement and releasing of sea ranch.

Study on Eco-environmental Stress Trend of Inner Mongolia Based on Ecological Stress Index

[Objective] The study aimed to analyze the eco-environrnental stress trend of Inner Mongolia using ecological stress index method. [Methed] On the basis of the improved ecological stress index （ESI） analysis method, the eco-environmental stress trend of Inner Mongolia from 1996 to 2009 was analyzed, as well as the changes of eco-environmental stress in major industrial cities of Inner Mongolia in 2008. [ Result] With the economic development of Inner Mongolia from 1996 to 2009, the U-shape change could be found in the eco-environmental stress, showing an upward trend on the whole, especially since 2003, and there was a sharp raise in the environmental pollution index. In addition, the eco-enviren- mental stress lessened in most major cities of Inner Mongolian in 2008, but it was in a polarization state, that is, Baotou, Wuhai and Hohhot biased resource and energy consumption, while Ordos and Chifeng biased environmental pollution. [ Conclusion] The research could provide scientific ref- erences for the protection of ecological environment and the adjustment of industrial structure in Inner Mongolia.

A multistandard and resource-efficient Viterbi decoder for a multimode communication system

We present a novel standard convolutional symbols generator(SCSG)block for a multi-parameter reconfigurable Viterbi decoder to optimize resource consumption and adaption of multiple parameters.The SCSG block generates all the states and calculates all the possible standard convolutional symbols corresponding to the states using an iterative approach.The architecture of the Viterbi decoder based on the SCSG reduces resource consumption for recalculating the branch metrics and rearranging the correspondence between branch metrics and transition paths.The proposed architecture supports constraint lengths from 3 to 9,code rates of 1/2,1/3,and 1/4,and fully optional polynomials.The proposed Viterbi decoder has been implemented on the Xilinx XC7VX485T device with a high throughput of about 200 Mbps and a low resource consumption of 162k logic gates.