The hydro-wind-solar hybrid power system of interest is in the upper reaches of the Jinsha River and is composed of the Gangtuo hydropower station, the Wanjiashan solar power station in Yanbian, and the Dechang wind farm. An analysis of the output characteristics of the three stations in the system is carried out. Based on a quantitative analysis of the output complementarity over a year (using a method of Pearson correlation) and a qualitative analysis of the output complementarity in a day, a mode of complementary operation is presented in this paper. On this basis, a real-time model is built using Visual BASIC and used to carry out complementary operational research. As a result, we ascertain the mode of reservoir operation required for a given total load on the power grid, wind power, and solar output. The research reveals the complementarity between the monthly and hourly energy outputs of pairs of the three kinds of energy sources. The complementarity between hydropower and wind power is found to be better than that between hydropower and solar power. Transmitting hydro, wind, and solar power together not only lowers the impact of negative factors but can also improve the efficiency of the energy delivery channels. This may help mitigate the impact on the environment and optimise the energy structure.

Pharmacy is the last department for outpatient in hospital, the efficiency of which is directly associated with patient satisfaction and reputation of the entire hospital. The aim of the study is to improve the efficiency of queuing system of outpatient pharmacy based on queuing simulation method. After stimulating suitable models for the current situation, then changes of the number of queues have been made to see if there is any improvement in system efficiency. Results showed that single-queue multi-window pattern is not only much more balanced to assign prescriptions to each window, but also make human resources well used.

The paper presented an evaluation method of the development level of low-carbon economy. First, we applied GMDH model for selecting the key indicators to evaluate the development level of low-carbon economy, and then we implement clustering analysis for the development level of the low-carbon economy towards two different years’ evaluation objects by using the AC clustering method and evaluation indicators. The result shows that the development level of low-carbon economy of Sichuan in 2009 is roughly in according with Shanghai in 2003, and lags behind two stages compared to Shanghai in 2009. Thus, in the process of developing the low-carbon economy, Sichuan can refer to Shanghai in low-carbon industries, energy conservation and other policy measures to accelerate economic transformation.

Neutron background measurement is always very important for dark matter detection due to almost the same effect for the recoiled nucleus scattered off by the incident neutron and dark matter particle. For deep under-ground experiments, the flux of neutron background is so low that large-scale detection is usually necessary. In this paper, by using Geant4, the relationship between detection efficiency and volume is investigated, meanwhile, two geometrical schemes for this detection including a single large-sized detector and arrayed multi-detector are compared under the condition of the same volume. The geometrical parameters of detectors are filtrated and detection efficiencies obtained under the similar background condition of China Jingping Underground Laboratory (CJPL). The results show that for a large-scale Gd-doped liquid scintillation detector, the detection efficiency increases with the size of detector at the beginning and then trends toward a constant. Under the condition of the same length and cross section, the arrayed multi-detector has almost similar detection performance as the single large-sized detector, while too much detector number could cause degeneration of detection performance. Considering engineering factors, such as testing, assembling and production, the 4 × 4 arrayed detector scheme is flexible and more suitable. Furthermore, the conditions for using fast and slow signal coincidence detection and the detectable lower limit of neutron energy are evaluated by simulating the light process.

The risk measure for enterprise technology innovation is a hotspot problem and the forward position of enterprise management, is a much subject overlapping edge research program, it is very difficult to research this problem. In this paper, based on Rough set theory and ANN method, Rough-ANN model for dynamic risk measure of enterprise technological innovation is established. It takes the advantages of the informational reduction principle of rough set theories and ANN predominance which has stronger concurrent processing, approach advantage and sort study capability. Thus the model may simulate the mankind’s abstracting logic thinking and image intuitive thought to measure enterprise technological innovation risk. This model can identify the main attributes of technological innovation risk, reduce the information accumulate cost of risk measure, improve the efficiency of risk measure, make the sophisticated problem of technological innovation risk measure simplified. Therefore, this model has better practice operability. Theoretical analysis and experimental results show the feasibility and validity of the model. The research work supplies a new way for dynamic risk measure for technological innovation.

Objective To provide evidence for the establishment of an essential medicines list,we investigated the institutional medicine supply in rural hospitals and community health service centers in Chengdu.Methods The trained investigators collected medicine sales records and information about the management of institutional pharmacies. Through in-depth interviews with the pharmaceutical personnel,we inquired into the drug supervision and supply networks in rural areas.Then we performed secondary research based on a comparative analysis of drug classification, administration and pharmacies in developed countries.Results Seven township hospitals/community health service centers had pharmacies,facilities,storage,and a clean environment.Three of them used electrical databases to manage medicine sales records.Five township hospitals and 5 village medical rooms purchased medicines from the drug supervision and supply networks every week.In this way,they ensured the quality and accessibility of drugs in rural areas. In the urban community health service centers,medicines were supplied based on the traditional commercial distribution system.Conclusion Rational allocation of health resources to set up institutional pharmacies and village medicine rooms is important.The supervision of village medical rooms must be stricter.We should expand the use of electrical databases and integrate the supervision and supply networks with the supply system of the essential medicines.

A SPA-ANN coupling model is recommended based on set pair analysis(SPA) and artificial neural network(ANN).This model is applied to forecast the annual runoff and compared with artificial neural network model and nearest neighbor bootstrap regressive model,then the satisfadory result is obtained.

In view of the deficiencies of timing consuming and complex analyses in the integration tes-(ting) to complex software,a model of software testing optimization based on component-dependency is presented.Firstly,it analyzes and describes the complex component-dependency,classifies the components using the dependency relation between components,and assigns the different priority to different component set.Classifying the components for testing can achieve allocating testing resources reasonably.Finally an experimental result and performance analyses is given.

The hydroelectric generation benefits of plants on Yellow River will be added after water transfer project on the west route of south to north are put into effect.The firm power,installed capacity,and energy output of hydroelectric power stations on the upstream of Changjiang River will be reduced while water diverted.The hydropower rights are shifted from the Changjiang River to the Yellow River due to the western water transfer project.The energy value of water resources would be redistributed between hydroelectric power enterprises of two rivers.This paper analyses the transfer price of hydrolelectric power rights of water projects on the west route of South to North project based on the marginal opportunity cost.The mechanism and method of transfer price of water power rights together with the mix power capacity,generation and environment cost are presented in this paper.

This paper presents a optimal operation model for multiple reservoir power with time varying electricity price by using the genetic algorithm The model has been implemented in Zipingpu power station in Sichuan province The results indicate that the operation schedules from the model are significantly different from those obtained from a similar kind of model without time varying electricity price It is shown that competitive relationship between water supply and power generation can be coordinated effectively, besides, that the firm power can be increased The importance of the model and its effect on water resources uses and hydropower development are emphasized

This paper presents a genetic algorithm (GA) for optimizing truss structural system with discrete design variables. It differs from existing mathematical programming methods in that the GA uses a population of initial points in contrast to the single-point approach by the traditional ones. The optimal solution by GA is no longer dependent on initial search values, and well guarantee a global optimum. Derivative calculation is not necessary and computer program is simple. Genetic algorithm is suited for structural optimization which have discrete variables.