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In order to solve the problem of high sampling rate in the feedback loop of broadband digital predistortion, a digital predistortion method based on probability distribution of the signal was proposed, which can provide good predistortion effect with far lower sampling rate in feedback loop.

This paper describes the driver's vehicle behavior as the response of an intelligent body according to the environment and situation, and describes the characteristics of macro-traffic flow through the response of each independent intelligent body, providing a basis for intelligent driving and intelligent control. First, the adaptability description is carried out with the behavior of single-lane vehicles. Three driving states are defined and their driving behaviors and decision-making rules are analyzed based on the driver's expectation objectives. The simulation is realized by using the mathematical description the Boid model method of Couzin et al. [6][7][8]. The simulation results show that the behavior change of the individual adaptive driving vehicle is completely consistent with the characteristics of the macro-traffic flow, and the cooperative characteristics of the group intelligence are presented. Individual driving vehicles show good adaptability and self-drive to the change of environment and current traffic condition. The change of individual driving behavior of the vehicle will have an impact on the adjacent local vehicle individuals. The change of traffic density affects the speed of traffic flow. Bad driving behavior will affect the speed of local or even the whole traffic flow on the road, which will lead to the closing and splitting of the vehicle queue. In serious cases, the vehicle queue will stop and stop, leading to the decrease of the road capacity.

Firm as agent, a free competitive market is build. The interaction rule between agents (firms) is Prisoner's Dilemma game. Each agent can adopt competition or cooperation strategy and can also change its strategy during the market gaming process, which is called an adapting process. The principle of adapting is maximum benefit, so, the next-step’s strategy of an agent in the gaming process at a free competitive market is the same with the neighbor who was the biggest winner in last game circle. Using Java platform and thread, applet technologies, a visually oriented simulation program is programmed and run repeatedly. Different patterns created and some meaningful rules in free competitive market can be concluded. Depended on these direct-viewing representations, we can get some cognition about free competitive market and how to manage a firm under different market environment.

Urban traffic control is a complex large system. Using multi-agent system, a traffic control framework was set up, and different control strategies were simulated. The intersection agent (IA) which uses of fuzzy control strategy and has coordination ability was designed. Simulations showed that fuzzy control has better results than either fix-cycle control or local inductive control. Meanwhile, a traffic coordination model and a multi-agent coordination algorithm is presented by self organizing. The functionality of the proposed urban traffic multi-agent system to manage the gradual congestion of the traffic network is tested. Position sliding window algorithm can reduce computing scale. Finally, an intersection agent hardware platform is designed based on embedded system.

Fuzzy number type data is a typical class of fuzzy data, and it can be regarded as a general form of the interval data and the crisp data. This paper studies fuzzy clustering algorithm for triangular fuzzy numbers. First of all, we give a novel distance between triangular fuzzy numbers by using three parameters interval number, and prove that the proposed distance is a complete metric on the set of triangular fuzzy numbers. And then, based on this novel distance, we propose two fuzzy c-means type clustering algorithms for dealing with triangular fuzzy numbers. Finally, some numerical examples are provided to illustrate the algorithm’s effectiveness.

In a world of economic globalization, financial industry faces many new challenges. Optimizing IT infrastructure utilization is one way to advance financial organizations' competitiveness. Web service and grid computing appear to be increasing useful tools to realize the aim. Using existing computing resources to provide innovative financial service is the subject of the paper. Grid-based (American) stock option trading brokerage as an example, system architecture and its main issues, high-performance option pricing platform is designed. Using Web service and Java technologies, test system is set up, ideal speedup and pricing results are achieved. According to IBM's grid value at work model, the grid system business value is analysed in quantitative approach. Low total cost of ownership (TOC), high return on investment (ROI) and internal rate of return (IRR) denote that grid-based stock option brokerage is a effective value-added service for financial institution.