Increasing Civics Learning Achievement by Applying Cooperative Learning： Team Game Tournament Method

The most important goal in civics education is to ensure that each citizen has a good understanding of ethics and moral behavior, and thus stresses the constant link between knowledge and practice. In this context, to increase understanding of civics education for being able to create the best generation and condition in the future life, study on this issue is becoming a very crucial manner. In general, methods like discussion and dialogue are used to allow students to express themselves. However, cooperative learning in particular addresses many of the needs and concerns facing by educational systems and Team Game Tournament （TGT） method is one of the preferable methods of cooperative learning. This study was aiming to increase civics learning achievements by using cooperative learning based on TGT method on secondary school students of Jatisari of Indonesia. The action research procedure was also used so as to be able to evaluate the influent, impact, and result of TGT. Accordingly, cooperative learning with TGT method has successfully given positive contribution to increasing student learning civics achievement.

Detection Method for Cascading Failure of Power Systems Based on Epidemic Model

The early detection of cascading failure plays an important role in the safe and stable operation of the power system with high penetration of renewable energy.This paper proposes a fault propagation dynamic model based on the epidemic model,and further puts forward a method to detect the development of cascading failures.Through the simulation of the IEEE 39-bus and 118-bus systems,this model is proven to be valid and capable of providing practical technical support for the prevention of cascading failures in power systems with high penetration of renewable energy.This paper also provides an analysis method for the choice of different protection and control measures at each stage of cascading failure,which has critical significance and follow-up value.

Evaluation of global navigation satellite system spoofing efficacy

The spoofing capability of Global Navigation Satellite System(GNSS)represents an important confrontational capability for navigation security,and the success of planned missions may depend on the effective evaluation of spoofing capability.However,current evaluation systems face challenges arising from the irrationality of previous weighting methods,inapplicability of the conventional multi-attribute decision-making method and uncertainty existing in evaluation.To solve these difficulties,considering the validity of the obtained results,an evaluation method based on the game aggregated weight model and a joint approach involving the grey relational analysis and technique for order preference by similarity to an ideal solution(GRA-TOPSIS)are firstly proposed to determine the optimal scheme.Static and dynamic evaluation results under different schemes are then obtained via a fuzzy comprehensive assessment and an improved dynamic game method,to prioritize the deceptive efficacy of the equipment accurately and make pointed improvement for its core performance.The use of judging indicators,including Spearman rank correlation coefficient and so on,combined with obtained evaluation results,demonstrates the superiority of the proposed method and the optimal scheme by the horizontal comparison of different methods and vertical comparison of evaluation results.Finally,the results of field measurements and simulation tests show that the proposed method can better overcome the difficulties of existing methods and realize the effective evaluation.

SIMPLE COMPUTING OF THE CUSTOMER LIFETIME VALUE:A FIXED LOCAL-OPTIMAL POLICY APPROACH

In this paper,we present a new method for finding a fixed local-optimal policy for computing the customer lifetime value.The method is developed for a class of ergodic controllable finite Markov chains.We propose an approach based on a non-converging state-value function that fluctuates（increases and decreases） between states of the dynamic process.We prove that it is possible to represent that function in a recursive format using a one-step-ahead fixed-optimal policy.Then,we provide an analytical formula for the numerical realization of the fixed local-optimal strategy.We also present a second approach based on linear programming,to solve the same problem,that implement the c-variable method for making the problem computationally tractable.At the end,we show that these two approaches are related：after a finite number of iterations our proposed approach converges to same result as the linear programming method.We also present a non-traditional approach for ergodicity verification.The validity of the proposed methods is successfully demonstrated theoretically and,by simulated credit-card marketing experiments computing the customer lifetime value for both an optimization and a game theory approach.

On the Applifaction of Games in English Teaching in Primary Schools

In primary school English classroom teaching,game teaching provides a definitely new code.It is beneficial for teachers to make classroom learning atmosphere active and arouse students’enthusiasm in learning English.A conclusion can be drawn that game teaching can stimulate students’interest in learning English and improve their English grade so that primary students can learn knowledge and know how to use it.