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Distributed direct current (DC) power distribution system in buildings are gaining popularity. In this paper, a real world DC building distribution system is presented. Both the steady state and transient state models are developed. In the steady-state state model, the optimal location of DC converters is designed to enhance the energy efficiency of the buildings. In the transient state model, the safety operation of the DC building grids is achieved by the coordination of distributed energy resources. Furthermore, different operation scenarios are conducted, and the results indicate that the DC building achieves safe operation under the proposed coordination mechanism.

Objective To recommend strategies to strengthen management and supervision by leaders in research institute through investigating and understanding the current situation analyzing the challenges and barriers from the view angle of Organization Department. Methods A self-designed questionnaire was conducted to investigate the current situation, the challenges, the objects and methods, problems and strengthening strategy of management and supervision for team of leadership in the institute. The staff of research institutes engaged in the management and supervision of leading cadres were interviewed. Results There were 69.61% of the respondents considered that “scientific performance and fair assessment and evaluation of leader personel ” was the difficulty of management and supervision and 75.69% of the respondents considered that “strengthening the routine management and supervision of leading team members and implementing the supervision rules and regulations strictly” was the focus of management and supervision. The results also showed that 70.72% of the respondents considered that “superior supervision” was the most direct and effective supervision and 90.61% of the respondents considered that the “top leaders of the party and government” was the key objects of management and supervision. Conclusions Strengthening the management and supervision of leading team members of scientific research institutes will be implemented by establishing and perfecting the management and supervision system, strengthening the education and training of, clarifying the key management and supervision objects and innovative management / supervision methods.

Stencil computation is one kind of the most important loop kernels in scientific and engineering computing applications.Loop tiling can effectively improve the data locality of stencil computation and the degree of computational parallelism,but the best tile size is hard to choose.Traditional tile size selection methods usually have shortcomings in some ways of time overhead,labor cost and model accuracy.In this paper,a tile size selection method based on artificial neural network is proposed to predict the optimal tile size of three-dimensional Jacobi stencil loop programs.Experimental results show that,for 11 real stencil programs,the performance improvement of the programs using the model prediction tile size compared with the non tiling is 2% and 35% in serial and parallel tests respectively.Compared with the well-known grid search method,our method has a similar prediction accuracy,but only takes one 30 thousandth of the online time cost.In addition,compared with the Turbo-tiling method,our method improves the performance of tiled codes nearly 9% in average.