Ban Xiaojuan

Novel method for the evaluation of data quality based on fuzzy control

Abstract One of the goals of data collection is preparing for decision-making, so high quality requirement must be satisfied. Rational evaluation of data quality is an effective way to identify data problem in time, and the quality of data after this evaluation is satisfactory with the requirement of decision maker. A fuzzy neural network based research method of data quality evaluation is proposed. First, the criteria for the evaluation of data quality are selected to construct the fuzzy sets of evaluating grades, and then by using the learning ability of NN, the objective evaluation of membership is carried out, which can be used for the effective evaluation of data quality. This research has been used in the platform of ‘data report of national compulsory education outlay guarantee’ from the Chinese Ministry of Education. This method can be used for the effective evaluation of data quality worldwide, and the data quality situation can be found out more completely, objectively, and in better time by using the method.

Compression method based on training dataset of SVM

Abstract The method to compress the training dataset of Support Vector Machine (SVM) based on the character of the Support Vector Machine is proposed. First, the distance between the unit in two training datasets, and then the samples that keep away from hyper-plane are discarded in order to compress the training dataset. The time spent in training SVM with the training dataset compressed by the method is shortened obviously. The result of the experiment shows that the algorithm is effective.

SIFT-based matching algorithm and its application in ear recognition

Ear recognition is an emerging biometric technology and it has great potential and broad application and development space in the field of identity verification. SIFT (Scale invariant feature transform) has the advantages of better description of the model features, maintaining the structure information, the stability of the extracted feature points, the translation scale and rotation of the image and so on. In order to improve the efficiency and accuracy of image matching, a new bidirectional matching algorithm is proposed in this paper. In the experiment, to begin with different feature points are extracted from two images. Next using the BBF-based bi-directional matching method matched all these feature points respectively. the final matches were the integrated matching correspondences. Experiments results demonstrated that the new method can improve the matching accuracy and efficiency and reduce the time consuming by 44%.

Interaction model of artificial fish in virtual environment

Abstract Conventional artificial fish has some shortages on the interaction with environment, other fish, and the animator. This article proposes a multi-tier interaction control model of artificial fish, realizes the interaction model through integration of virtual reality technology and Markov sequence, and provides a virtual marine world to describe the interaction between artificial fish and the virtual environment and the interaction between the artificial fish and the animator. Simulation results show that the interaction model owns not only the basic characteristics of virtual biology, but also has high trueness interaction function.

Competition Rule and Community Evolution of Artificial Fish

Artificial fish is researched in this paper. Artificial lifes characteristic of self-evolution is introduced in computer animation. Efficiency and automation level of animation of artificial fish is improved. An evolution model of artificial fish based on competition rule is put forward and built. Fitness function of artificial fish is given. These provide foundation for artificial fish to live in the virtual environment simulating natural competition. A community evolution model based on energy conservation law is put forward and built. The model represents natural selection. The size of fishs community is changed periodically restricted by the model, and fish community could automatically evolution of goal-oriented.

The Design on Models of Softmen Based on Self-reproduce

SoftMen are virtual robots that have characters of distributed mobile agent, robot and artificial life living in network. The characters of research platform for SoftMan are introduced. The models of SoftMan about fitness, physiological development, self-reproduce and sport are given. And the models of the SoftMan group are depicted

Reproduction Mechanism of Digital life

Digital life, the creation and study of manmade systems that exhibits characteristics of life, offers a method of investigation into essential properties of life. Digital life system SEBRED, which extends upon previous system Avida, was designed to help in investigations into the sexual reproduction. The sexual reproduction mechanism of digital life is designed by utilizing the genetic programming principle in this paper, the cross breeding mechanism of natural life is introduced into digital life, and the cross breeding mechanism of digital life is designed, so as to avoid the disadvantage of inbreeding reproduction and improve the life feature of digital life

Computer animation based on artificial life and artificial intelligence: the research of artificial fish

In this paper, self-reproduction characteristic of artificial life is introduced to computer animation. A self-reproduction model of artificial fish based on gene control is put forward and built. Based on artificial fishs phenotype, the contents of its chromosome are given. Based on this model, heredity rules are given. Artificial fish could reproduce and grow in the virtual marine environment freely controlled by the gene model and rules. Artificial behaviors include predefined behaviors and nondeterminate behaviors. Cognitive models based on Artificial Intelligence is put forward and built to control behaviors of artificial fish in high level. Simulation program is designed and developed based on all these models built above. These made groundwork to improve the efficiency and automatic level of artificial fish animation.