Analysis of Factors Influencing Development of Resource-saving and Environment-friendly Agriculture in China

By selecting the data from 1989 to 2009 in China, we conduct regression analysis on the total output value of agriculture, the usage amount of chemical fertilizer, total power of agricultural machinery, effective irrigation area, and the damage area. The results show that the usage amount of chemical fertilizer and the damage area, the great obstacle to the construction of resource-saving and environment-friendly agriculture, have significant impact on the output value of agriculture; total power of agricultural machinery and effective irrigation area have insignificant impact on the output value of agriculture. Based on these, the suggestions for promoting the development of resource-saving and environment-friendly agriculture are put forward as follows: transform agricultural production mode, and optimize the industrial structure of agriculture; promote scientific use of chemical fertilizer, and promote the ability of agriculture to resist risks; promote the development of biogas in rural areas, and carry out the comprehensive use of biological material resources in rural areas.

An FPGA-Based Resource-Saving Hardware Accelerator for Deep Neural Network

With the development of computer vision researches, due to the state-of-the-art performance on image and video processing tasks, deep neural network (DNN) has been widely applied in various applications (autonomous vehicles, weather forecasting, counter-terrorism, surveillance, traffic management, etc.). However, to achieve such performance, DNN models have become increasingly complicated and deeper, and result in heavy computational stress. Thus, it is not sufficient for the general central processing unit (CPU) processors to meet the real-time application requirements. To deal with this bottleneck, research based on hardware acceleration solution for DNN attracts great attention. Specifically, to meet various real-life applications, DNN acceleration solutions mainly focus on issue of hardware acceleration with intense memory and calculation resource. In this paper, a novel resource-saving architecture based on Field Programmable Gate Array (FPGA) is proposed. Due to the novel designed processing element (PE), the proposed architecture achieves good performance with the extremely limited calculating resource. The on-chip buffer allocation helps enhance resource-saving performance on memory. Moreover, the accelerator improves its performance by exploiting the sparsity property of the input feature map. Compared to other state-of-the-art solutions based on FPGA, our architecture achieves good performance, with quite limited resource consumption, thus fully meet the requirement of real-time applications.

Effect of cold rolling and annealing on microstructure and properties of a new resource-saving duplex stainless steel Fe–19Cr–0.6Al–12Mn

An Fe-19Cr-0.6Al-12Mn duplex stainless steel with an optimized alloy composition of Ni replaced by Mn and Cr partially replaced by Al was developed to avoid the edge cracking, which is a common defect in the hot rolling of traditional twophase stainless steels. The newly developed duplex stainless steel could be hot-rolled in the single-phase ferrite (α) region by controlling rolling temperature and the single-phase ferrite microstructure was retained on water cooling. To obtain the two-phase stainless steel product with ferrite and austenite (γ) microstructure, cold rolling and annealing were carried out,and appropriate cold rolling reduction and annealing process parameters were determined. The significant impact of annealing on microstructure, mechanical properties and pitting resistance of the experimental steel was studied. It was observed that with the increase in cold rolling reduction, the number of γ nucleation points was dramatically increased leading to the precipitation of more γ at α grain boundaries after annealing. During annealing at 800 ℃ and with the increase in annealing time, the austenite fraction was increased with a lower rate and remained almost constant when the annealing time was greater than 4 h. With the increase in annealing temperature, the austenite fraction decreased gradually in the temperature range of 750-860 ℃. Good combination of strength, ductility and excellent pitting resistance was obtained by cold rolling to 80% reduction and annealing at 800 ℃ for 4 h. Grain refinement and the existence of Σ3 boundaries played a vital role in improving the pitting resistance of the experimental steel. With good combination of strength, ductility and corrosion resistance, the newly developed duplex stainless steel is expected to be a new resource-saving dual-phase stainless steel.

Institutional Innovations for Resource-saving Urbanization in China

The author argues in this article that,in China,the serious waste of resources amid urbanization is mainly due to the defects in resource institutions.The unreasonable pricing mechanism result in undervalued prices which encourages waste rather than saving resources.In order to promote resource-saving urbanization,a series of institutional innovations in resource utilization must be carried out.Efforts should be made to strengthen the monitoring over resource market and to increase the costs for resource utilization,so as to prevent the waste of resources amid urbanization through economic measures.

Coronary CTA predictive, resource-saving when used in emergency department

Key points： ACRIN PA 4005 looks at 1-year outcomes in patients presenting to the emergency department with chest pain screened with coronary CTA Negative coronary CTA predicts low risk of 1-year death/AMI/revascularization Screening method also helps to more accurately distribute resources