Time filter

Source Type

Xiuming C.,Henan Mechanical and Electrical Engineering College
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

Associative memory is a highly effective mnemonics, hence it was soon applied by vocabulary learning software. This paper examines the design and application of an English vocabulary learning computer system based on associative memory (AM-ELS). This system uses Sybase's latest database model designer CASE toolkit named Sybase Power Designer 12.0, and creates 7 data tables including user registration table (Flog. dbf), useful sample sentence table (Enms-dt0.dbf), English vocabulary table (Wpmsdt0.dbf), memory test results table (Wpmsdtsc. dbf), table of wrong words in memory tests (Wpmsdtrr. dbf), memory test score table (Wpmsdtsc. dbf 7), and option data table (Wpmsdtva. dbf). AM-ELS is a multi-user, practical, easy to learn, visualized and object-oriented computer-aided learning system developed under VFP9.0. Experiments show that this system can improve users' associative capacity and foster their ability to use associative memory to consolidate memory. Source

Ruijiao Y.,Henan Mechanical and Electrical Engineering College
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

computer network has been developing rapidly and LAN, Campus Network and Internet have applied in educating, providing a personalized teaching environment. In this thesis, BBS, SQL and Serv-U FTP are integrated to build an autonomous learning and discussing platform featuring teacher-student interaction and resources sharing. The design of teaching, audience of teaching, environment, and methods, etc are discussed in detail and steps of LAN-based education are introduced. This thesis has assessed the effectiveness of LAN-based education from results of students' academic examination and final oral examination and the results have proved that LAN-aided English teaching platform has reached expected aims. Source

Liu W.,Henan Mechanical and Electrical Engineering College
Open Cybernetics and Systemics Journal

With the economic development and the improvement of residents' income level, China’s tourism industry is now entering into a new historical period. In this paper, we construct an empirical analysis model about urban residents’ rural travelling decision-making, and then analyze influential factors mechanism by using logistic regression model. Based on the analysis of rural travelling decision-making behaviors, the result shows that the variables as disposable income, discretionary time of urban residents, infrastructure, traffic condition, tourism culture and tourism environment are significantly affecting rural travel decision-making, which is at 10% significant level; meanwhile, other variables as environmental quality, policy and media publicity is not obvious. © Wei Liu; Licensee Bentham Open. Source

Wang L.,Henan Mechanical and Electrical Engineering College
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

Objective: To establish an intelligent electronic commerce model, improve the efficiency of electronic commerce, reduce transaction costs, and realize the intelligent business process. Methods: combination with Agent technology and genetic algorithm. Process: a bilateral multi project negotiation model based on genetic algorithm is proposed, which carries out the requirement analysis and the overall design, determines the system's each module and the function to realize, and encoding realizes the whole system model based on Agent. Result& Analysis: through the combination of Agent and the specific electronic commerce system, the characteristics of Agent can be fully played, and the task of product selection and negotiation can be finished. Results: the application of Agent technology in electronic commerce has put forward the innovative research, provided more scientific basis, and has practical application value. Source

Su G.,Henan Mechanical and Electrical Engineering College
Advanced Materials Research

This paper introduces a new fuzzy active disturbance rejection control (ADRC) design technique into permanent magnet synchronous motor (PMSM) speed regulation system. By using fuzzy logic control, the proportional coefficient of nonlinear state error feedback (NLSEF) is timely adjusted to obtain the suitable feedforward control variable. The uncertain term of PMSM is tracked and estimated by using the extended state observer (ESO). The control variable can be obtained through subtracting the estimator of ESO from the output of NLSEF. The simulation results show that the controller operates robustly under modeling uncertainty and external disturbance and produces better dynamic performance than the ADRC controller. © (2011) Trans Tech Publications. Source

Discover hidden collaborations