Abstract The purpose of this paper is to investigate the allocation of output and the water supply for two firms to produce differentiated product in two oligopoly game models established under the settings of complete information and incomplete information respectively. By solving a linear demand system model, this paper obtains the corresponding allocation results of output and the water supply for... The purpose of this paper is to investigate the allocation of output and the water supply for two firms to produce differentiated product in two oligopoly game models established under the settings of complete information and incomplete information respectively. By solving a linear demand system model, this paper obtains the corresponding allocation results of output and the water supply for two firms under the condition that the market power exists and the information on the marginal costs is complete. Furthermore, the relation between the allocation result of output and the equilibrium price of water markets in the framework of complete information is analyzed. The study result shows that when the equilibrium price of water markets raises, the total equilibrium output will decrease, while the change rule of the individual output is complicated. Under the condition that water consumption parameters in model are different, and the other parameters in model satisfy suitable conditions, the market shares of output due to the change of the equilibrium price of water markets transforms from the firm who requires more water quantity to the firm who requires less water quantity. Finally, this paper compares the allocation results obtained under the setting of incomplete information on marginal cost with that obtained under the setting of complete information on marginal cost. Read More Read Less

Abstract With the advances in internet technology, the educational instruction mode has greatly been improved, which is beneficial to accounting education. Practical accounting skill is difficult to learn in the classroom with traditional forms of accounting education. In this paper, the authors described a web-based virtual accounting lab that has been developed to provide simulation in accounting practical skills, reported empirical... With the advances in internet technology, the educational instruction mode has greatly been improved, which is beneficial to accounting education. Practical accounting skill is difficult to learn in the classroom with traditional forms of accounting education. In this paper, the authors described a web-based virtual accounting lab that has been developed to provide simulation in accounting practical skills, reported empirical findings of the application of the lab, evaluated its effectiveness based on questionnaire to students participated in the lab. The study has proved the value of education technology in providing real life experience for accounting students. Further implications and conclusions on technology application in accounting lab were also given. Read More Read Less

Abstract In this paper, a new algorithm to optimize the state feedback linearization matrix of two-link PenduBot control system. Mature method of comparison, the best of the simulation results of the particle swarm optimization algorithm can make the object more stable. Obviously, the particle swarm algorithm is introduced to the angular displacement and speed of smaller each link, less overshoot and... In this paper, a new algorithm to optimize the state feedback linearization matrix of two-link PenduBot control system. Mature method of comparison, the best of the simulation results of the particle swarm optimization algorithm can make the object more stable. Obviously, the particle swarm algorithm is introduced to the angular displacement and speed of smaller each link, less overshoot and a relatively short period of time to adjust. The algorithm through the control control ability proves two-link PenduBot. However, it needs modification parameter and run the program several times, so the need of further research for further improvement. Read More Read Less

Abstract High quality and multiplex talents of information management will be the key to decide the success of the combination of information and industrialization. In this paper, the connotation of Information and Industrialization Combination, which requirements to China’s talents of information management was analyzed, and based on that, we suggested the talents training mode.... High quality and multiplex talents of information management will be the key to decide the success of the combination of information and industrialization. In this paper, the connotation of Information and Industrialization Combination, which requirements to China’s talents of information management was analyzed, and based on that, we suggested the talents training mode. Read More Read Less

Abstract Research on farmers' network information consumption behavior is an important issue, which cannot be avoided in Chinese rural informatization construction. Logit model is used to research the factors affecting farmers' network information consumption, and the conclusions are as follows: 1) there are a number of factors affecting farmers' consumption by using modern network information media; 2) environmental characteristics is the... Research on farmers' network information consumption behavior is an important issue, which cannot be avoided in Chinese rural informatization construction. Logit model is used to research the factors affecting farmers' network information consumption, and the conclusions are as follows: 1) there are a number of factors affecting farmers' consumption by using modern network information media; 2) environmental characteristics is the main factor affecting farmers' information consumption via modern network information; 3) younger farmers more often use modern network information media; 4) farmers have a clear purpose by using modern network information media in information consumption, that is, to gain benefits by the use of information. The conclusions of this study will provide a reference for the government to solve the problem in the current informatization construction. Read More Read Less

Abstract The short-term forecast of the wind power of a wind farm is of great significance for the security and stability of a grid-connected generation system. An accurate forecast may reduce the spinning reserve of a grid while providing reliable references for operation dispatch of a wind farm. In order to improve the accuracy of short-term forecasts, introducing the phase-space reconstruction... The short-term forecast of the wind power of a wind farm is of great significance for the security and stability of a grid-connected generation system. An accurate forecast may reduce the spinning reserve of a grid while providing reliable references for operation dispatch of a wind farm. In order to improve the accuracy of short-term forecasts, introducing the phase-space reconstruction technique of the chaos theory, this paper was established forecasting models by reconstructing the historical time-series data of the wind power of a single unit based on the dynamical properties of chaos sequences, choosing the best delay time with the mutual information method, determining the best combination of embedding dimensions with the Cao algorithm, as well as utilizing the Elman recurrent neural network and others like the BP. As comparative case analysis shows, the forecasts of Elman model are more accurate than that of the others, exhibiting a positive prospect of utilizing this combined model of phase-space reconstruction and neural network in wind power forecasting of a single unit. Read More Read Less

Abstract Running with distributed generation, configuration of distribution network will be changed, that influences strength, flowing direction and duration of fault current. It analysed influence on current protection in main feeder, recloser and conventional branch line protection through the calculation formula of fault current before and after distributed generation synchronization development. In Matlab/Simulink, it constructed distribution network model with distributed generation,... Running with distributed generation, configuration of distribution network will be changed, that influences strength, flowing direction and duration of fault current. It analysed influence on current protection in main feeder, recloser and conventional branch line protection through the calculation formula of fault current before and after distributed generation synchronization development. In Matlab/Simulink, it constructed distribution network model with distributed generation, used simulation examples to prove influence on current protection and put forward improvement measures which can meet requirements of relay protection in distribution network. Read More Read Less

Abstract Firstly, this paper gives a data aggregation algorithm based on learning automata to solve the problem that the existing data aggregation algorithm can't solve, the uneven energy cost, and the existing algorithm can't change the gathering path dynamically existing the overhead environment. In the proposed method, nodes can change its gathering path to adjust the overhead environment. All the nodes... Firstly, this paper gives a data aggregation algorithm based on learning automata to solve the problem that the existing data aggregation algorithm can't solve, the uneven energy cost, and the existing algorithm can't change the gathering path dynamically existing the overhead environment. In the proposed method, nodes can change its gathering path to adjust the overhead environment. All the nodes of WSN equipped with a learning automata. These leaning automata learn all the gathering path of the nodes. In the process of transmit information two kinds of data are transmitted, including data packet, knowledge packet .When the information of the nodes changes, according to the feedback of the nods, the learning automata gives the reward or punish to the current gathering path, which help to find the best gathering path. Secondly, this paper improved the wavelet data compression algorithm, which was brought out as the correlation between different data. The algorithm do not reduce much of the data relate to the original data. After the wavelet data compression, Huffman coding compression algorithm will improve the data compression ratio. Read More Read Less

Abstract Intelligent power consumption detection device is an important part in Smart Home system, which can intelligent identification , positioning , tracking, monitoring and management the household electrical parameters, enabling users to keep abreast of household electricity consumption. This paper is mainly about the design of a Wireless Energy Consumption Detector (WECD) based on the Internet of Things, combine with the... Intelligent power consumption detection device is an important part in Smart Home system, which can intelligent identification , positioning , tracking, monitoring and management the household electrical parameters, enabling users to keep abreast of household electricity consumption. This paper is mainly about the design of a Wireless Energy Consumption Detector (WECD) based on the Internet of Things, combine with the IEEE802.15.4E wireless protocol. The whole system includes hardware and software parts, the choice of MCU chip, RF chip and power measurement chip for WECD, the design of each module circuit based on the chip working principle, the paper also make a key analysis of device driver module, wireless data forwarding module and wireless data showing module of indoor terminal. After a series of rigorous testing, the result indicates a high reliability and accuracy of the WECD. Read More Read Less

Abstract This paper studies a low-cost computerbased 3D laser radar collection system. First, the control of actuator is realized by serial communication and the 2D image is captured from lines to surface, then denoise processing calibration is carried out by using Open CV. By using Irrlicht3D engine, the point cloud data is to be rendered to convert the 2D images to... This paper studies a low-cost computerbased 3D laser radar collection system. First, the control of actuator is realized by serial communication and the 2D image is captured from lines to surface, then denoise processing calibration is carried out by using Open CV. By using Irrlicht3D engine, the point cloud data is to be rendered to convert the 2D images to the 3D effect. Robot's collection on external image is achieved through the study of Open CV learning that combined with VC2008. Read More Read Less

Abstract The advantage of grid-based clustering method is its fast processing speed. The speed of clustering algorithm and the number of data objects is unrelated. To discover any size and shape of the clusterÿit is by the number of units on each dimension in the data space. In this method, the amount of data and computation time does not matter, calculations... The advantage of grid-based clustering method is its fast processing speed. The speed of clustering algorithm and the number of data objects is unrelated. To discover any size and shape of the clusterÿit is by the number of units on each dimension in the data space. In this method, the amount of data and computation time does not matter, calculations and data entry of the order does not matter, does not require the number of k-means algorithm to pre-specified cluster and so on. Clustering problem with obstacle constraints has very strong practical value in the spatial clustering analysis, and has become a research hotspot in recent years. Under the condition of existing obstacles constraints, the vast majority of the spatial clustering algorithm can't effectively solve the problem of irregular obstructions. Thus it has a greater impact on the accuracy of the algorithm clustering results, and reduces the efficiency of the algorithm. To solve this problem, an obstacle constraint space grid-based hierarchical clustering algorithm, which is GSHCO algorithm, is proposed. The algorithm inherits the advantages of gridbased clustering algorithm, by defining the concept of barriers to grid to deal effectively with the obstacles of arbitrary shape, to achieve the purpose of found clusters of arbitrary shape; At the same time, the algorithm uses a hierarchical strategy which can effectively reduce the complexity of the algorithm with obstacles clustering and the algorithm is improved operating efficiency. The experimental results show that the GSHCO algorithm can deal with obstacles constrained clustering, and with higher performance and better clustering quality. Read More Read Less