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Chen L.,University of Sichuan | Chen L.,Artificial Intelligence Key Laboratory of Sichuan Province | Yang C.N.,University of Sichuan | Huang W.Q.,University of Sichuan | And 2 more authors.
Advanced Materials Research | Year: 2014

To solve the rehabilitation evaluation problem of rehabilitation training, a rehabilitation evaluation method based on fuzzy comprehensive evaluation was presented for 6-DOF wearable lower limb rehabilitation robot. Relative degradation degree was introduced to represent the transformation of the actual state of rehabilitation training and the very poor rehabilitation. On the basis, Rehabilitation evaluation model was built based on fuzzy comprehensive evaluation, each layer of which was evaluated respectively, and suggests rehabilitation evaluation results of a lower limb rehabilitation robot. The instance analysis shows that the method is reasonable and effective. © (2014) Trans Tech Publications, Switzerland. Source


Song Y.,Dalian Maritime University | Chen R.,Dalian Maritime University | Liu Y.,Dalian Maritime University | Liu Y.,Artificial Intelligence Key Laboratory of Sichuan Province
Journal of Computers (Finland) | Year: 2012

The Semantic Web is the extension of the World Wide Web that enables people to share content beyond the boundaries of applications and websites. The understanding of Semantic Web documents is built upon ontologies that define concepts and relationships of data. Hence, the correctness of ontologies is vital. In this paper, we propose a new algorithm combined with the software engineering techniques, such as Alloy modeling language and its reasoner Alloy Analyzer to provide checking and reasoning service for OWL ontologies. First of all, we use Jena to parse OWL ontology documents. Next, the intermediate results are used as the inputs of the algorithms to generate the Alloy model. Futher, with the assistance of Alloy Analyzer, the Alloy model is checked. Experimental results show that this method can be carried out large-scale ontology reasoning and complex-property reasoning which are different from traditional ontology reasoning. Furthermore, the results provide useful information to guide the ontology modification. © 2012 ACADEMY PUBLISHER. Source


Qiu L.,University of Sichuan | Wei Z.X.,University of Sichuan | Liu Y.,Artificial Intelligence Key Laboratory of Sichuan Province
Applied Mechanics and Materials | Year: 2014

RFID middleware is a key technology of Internet of things. It achieves data recognition and data filtering between hardware devices and software applications. A design scheme for RFID middleware framework is presented in the paper. According to functional analysis and layered design ideas, we define a hierarchy of RFID middleware and construct an application framework, in which RFID event manager module is responsible for processing data streams and RFID information service module is responsible for system integration. Simulation results verify the correctness of the design project. Its recognition rate, redundant data filtering capability and other performance indicators have reached the preset requirements. © (2014) Trans Tech Publications, Switzerland. Source


Huang D.,University of Sichuan | Huang D.,Artificial Intelligence Key Laboratory of Sichuan Province | Yu S.,University of Sichuan | Tian J.,University of Sichuan | Hu Y.,University of Sichuan
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | Year: 2016

Aiming at the deficiencies of high cost, inconvenience in powering the positioning system and poor scalability of the existing indoor positioning systems, this paper proposes an indoor positioning system based on power-line; and the working principle of the system is discussed. On the basis of above the hybrid indoor positioning algorithm based on Support Vector Classification Machine and K-Nearest Neighbor is proposed. The principle of the algorithm is discussed in detail. Through the signal collection with the acquisition system, the indoor transmission characteristics of the positioning signal based on power-line is analyzed and the RSSI feature sample library is established. At last, the positioning experiments were conducted using SVCM, KNN and SVCM-KNN algorithms; their positioning performances were compared. The experiment results show that the SVCM-KNN algorithm can reduce the position error effectively and achieve the indoor positioning precision requirement. © 2016, Science Press. All right reserved. Source


Li K.,University of Sichuan | Zeng H.,Artificial Intelligence Key Laboratory of Sichuan Province
Mathematics and Computers in Simulation | Year: 2010

In this paper, we investigate a class of impulsive Cohen-Grossberg-type BAM neural networks with time-varying delays. By establishing the delay differential inequality with impulsive initial conditions, and employing the homeomorphism theory, the M-matrix theory and the inequality a∏k=1lbkqk≤(1r)(ar+∑k=1lqkbkr) (a≥0,bk≥0,qk≥0 with ∑k=1lqk=r-1, and r≥1), some new sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for impulsive Cohen-Grossberg-type BAM neural networks with time-varying delays are derived. In particular, the estimate of the exponential convergence rate which depends on the system parameters and the impulsive disturbance intension is also provided. An example is given to show the effectiveness of the results obtained here. © 2010 IMACS. Source

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