Journal of Intelligent & Fuzzy Systems - Volume 38, issue 6

Authors: Lin, Jing

Article Type: Research Article

Abstract: In order to improve the function of driving of wheeled soccer robot and solve the time delay of the pivot steering motion of traditional robot, an artificial intelligent control algorithm for steering motion of wheeled soccer robot was proposed. Combined with the calculation of double eccentric steering motion control, the driving characteristic of wheeled soccer robot steering eccentric mass block was analyzed. Then, D’Alembert’s principle was used to analyze the stress of robot and design the kinematics model of spherical shell steering of spherical mobile robot. Moreover, the stick-slip principle was used to control the steering of wheeled soccer robot. …Thus, the steering motion control of robot was achieved. Experiment results prove that the steering speed of wheeled soccer robot is 30% higher than that of traditional robot, which effectively solves the problem about the time delay of traditional robot steering motion. Show more

Keywords: Wheeled soccer robot, steering motion, D’Alembert’s principle, double eccentric mass

DOI: 10.3233/JIFS-179860

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7915-7923, 2020

Authors: Wang, Jingbo

Article Type: Research Article

Abstract: Aiming at the problems of large error and poor robustness of traditional image classification methods, a three-dimensional martial arts image classification algorithm based on symmetry theory is proposed. According to the preprocessed 3D martial arts image, the classification algorithm based on symmetric neural network is used to realize the classification of 3D martial arts image. The experimental results show that the minimum error rate of this algorithm is 6.1%, which is far lower than the traditional algorithm, it is shows that the improved algorithm has higher definition, better robustness, and the test results of different topological nodes on the test …solution show that the average error rate of the algorithm is lower. Compared with the same type of algorithm, the application value of the proposed algorithm is significant. Show more

Keywords: Denoising, sharpening, SDBN network, mean filtering, gray uniformity

DOI: 10.3233/JIFS-179861

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7925-7934, 2020

Authors: Wang, Yu

Article Type: Research Article

Abstract: In order to improve the ability of cloud computing data scheduling, this paper proposes a new method for multi-task, multi-level cloud computing data aggregation based on fuzzy association feature extraction. Heterogeneous directed graph analysis method is used to design cloud computing data. The semantic correlation fusion method is used to implement cloud computing data feature extraction and adaptive scheduling. The fuzzy clustering is used to process the characteristic amount of cloud computing data, and the optimal aggregation of cloud computing data is realized. Simulation results show that the method has a higher recall rate for multi-task and multi-level cloud data …aggregation, and the highest recall rate can reach 1, which improves the accuracy of resource aggregation. Show more

Keywords: Cloud computing, fuzzy algorithm, data, stable convergence, clustering

DOI: 10.3233/JIFS-179862

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7935-7944, 2020

Authors: Zhang, Shibo | Yu, Yuanlan | Zhang, Boyuan | Sha, Yun

Article Type: Research Article

Abstract: With the rapid growth of online reviews, the rapid and effective access to summary information is a hot topic of research. In this paper, an abstract sentence extraction model based on hierarchical attention network is proposed. The model has an encoder-decoder structure, which introduces a two-layer attention mechanism. The sentence encoder uses attention mechanism to obtain the vectorized representation of the sentence by inputting the aspect words. The review document encoder uses the attention mechanism to realize the context association of the sentences before and after. When decoding, a sentence output component composed of the GRU network makes the choice …whether the sentence should be selected as the candidate sentence. Greedy algorithm is used to eliminate the redundantly result, and then obtains the final summary based on the sentence sorting method. The experiment results show that the proposed model is better than the benchmark model. Show more

Keywords: Document summarization, attention network, review analysis

DOI: 10.3233/JIFS-179863

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7945-7952, 2020