Papers by Keyword: Artificial Intelligence (AI)

Paper TitlePage

Authors: Sheng Hui Dai, Hua Qing Zhou, Shuang Na
Abstract: With the developing of Distributed Database technology, fuzzy query of Distributed Database has been playing an important role in the information query. Raising query speed and precision ratio is always the main topic of information query. In this paper, a new type of information query system--Distributed Database system is designed with rough set theory and fuzzy set knowledge. A new information query method is advanced and the architecture of the system and its key algorithms are given. Main characteristic of the research achievement is that query algorithm’s time complexity decreases with the increase of amount of information and relates to the only amount of index words. Results show that it is an effective method with which a system for fuzzy query is implemented.
Authors: Shao Yong Li
Abstract: Design a subsection fuzzy controller for autonomous mobile robots based on location sensors. First section the controller produced some fuzzy output and part of the output was used for setting up an emotion factor called E. In the second section, E has an effect on the controller, and the mobile robot can move more like a car being driven by human. As the fuzzy controller is down to subsections, each of the section has a simpler fuzzy rule table. The simulation experiment data showed that this kind of control method for path tracking could fit the path better with short response time and strong robustness. It was more flexible and effective on processing different corners during tracking compared to conventional fuzzy control method.
Authors: Jie Min Zhao
Abstract: An instability result of a problem in artificial intelligence is given by means of the analysis and computing method.
Authors: Jie Min Zhao
Abstract: Consider a class of artificial intelligence model with finite time–delay. We construct a Liapunov functional. A global stability result is given by means of the analysis and computing method.
Authors: Zhen Yu Han, Yu Long Liu, Hong Yu Jin, Hong Ya Fu
Abstract: A review of methods used for fault recognition of the rolling elements in gearbox, namely gear and bearing, is presented in this paper. The procedure of the fault recognition can be classified into three phases, which are data acquisition, data processing or important features extraction, and the fault mode detection. Many different methods have been developed in dealing with each phase, so that the arrangement of the entire process has different strategies. This paper summarizes some general used and recently popular developed methods of each phase, and makes comparison between them. This work also aims at giving a perspective in such area in the future, based on the known researches.
Authors: Yi Jing Liu, Li Ya Chai, Jing Min Liu, Bo Wen Li
Abstract: The essential difference of cognitive radio from traditional radio lies in its ability to sense, learn and adapt to the environment. Recently, the research for cognitive radio has focused on the configuration problems of multi-objective optimization. However, in actual communication systems, the observable environment parameters are limited. Besides, the relationship between the system’s inputs and outputs is often complicated. Thus, Cognitive radio (CR) needs to understand and adapt to the environment through learning. To solve the problem mentioned above, a self-learning method for Cognitive radio decision engine based on CBR and Simulated Annealing is proposed. The simulation results show that the proposed method has the advantages of self-learning, multi-objective adaptation and rapid convergence.
Authors: Xin Xiong, Chao Dong Lu
Abstract: The traditional control system can not meet the more complex control tasks of the problem, using artificial intelligence control method of imitation, artificial intelligence control system on the overall structure of the design, and given the specific control algorithms. System relies on accurately identify the various features of the error and make the appropriate decisions to multiplexing, open, closed loop control mode of combining control and solve the complex control of the process of identification, decision-making and control problems and achieve A unified identification control.
Authors: Tian Ping Liu, Ming Ming Zhang, Yan Yang Wan
Abstract: In this study, in order to improve the search efficiency of causal Bayesian network structure learning, a new tag-based search algorithm is developed. The algorithm uses tags and the topology structure of tags to mark different types of variables, thus narrowing the search space of causal Bayesian network structure learning. With this algorithm, the task of combining causal Bayesian network theory with existing theories or models in certain application establishments when causal analysis is required becomes simpler. The time complexity of the tag-based search algorithm, compared with other search algorithms, has been reduced. Moreover, the experimental results show that the efficiency and accuracy of the tag-based search algorithm are both high.
Authors: Yu Yang
Abstract: In connection with the low efficiency of traditional design method, case-based reasoning of artificial intelligence was applied in design of precision seeder.Combining with case representing based on characteristic method, determination method for resemblance level of machinery parts characteristics during case retrieval procedure was analyzed. Case-database was organized by MOP. The modified grey relational analysis was employed to calculate the seeder case similarity. A new case retrieval algorithm based on dynamic configuration was proposed. The weight for characteristic properties of the machinery parts was determined through standard deviation method and entropy weight method.Finally,the proposed model was demonstrated by an application instance of 2BQ-2 precision seeder. The results objectively revealed aided design method based on artificial intelligence can improve the design efficiency and shorten the design cycle effectively.
Authors: Qiu Sun Ye
Abstract: An optional spatial 3D material solid reality picture may be showed on a 2D showing plane, its surface is commonly consisted of too many sub-surfaces of the 3D solid reality picture in both dispersal and continuation. It was a difficult problem to express all exact visibilities of solids sub-surfaces; because of some numerals computational error properties of visibilities are always unknown. So far, we cannot choose but select a proper dispersal degree of materials sub-surfaces, an approaching function of an optional material sub-surfaces B-Rep (Bound Representation), and numerals computation without any perturbation motion, etc. A novel numeral computational method of expressing exact visibilities of 3D spatial materials solids reality pictures with intelligent properties of VCR is given in this paper.
Showing 1 to 10 of 144 Paper Titles