Journal of Intelligent & Fuzzy Systems - Volume 34, issue 2

Authors: Huang, Jing | Xu, Ying | Peng, Xiaoyan | Hu, Lin | Yang, Jikuang

Article Type: Research Article

Abstract: With the development of vehicle active safety technology and its combination with passive safety technologies, there is a need for an updated tool to assess the performance of vehicle safety systems in both the in-crash and pre-crash phases. Consequently, developing human body models with active muscles is critical to achieve improved bio-fidelity simulation results to evaluate the effects of safety systems. In the present study, an innovative human active muscle control model based on a back-propagation neural network (BPNN) controller was developed, and the active muscle response was modelled using a feedback control strategy with the BPNN algorithm implemented in …a human head and neck Sim Mechanics model. The BPNN controller was used to dynamically control the muscle activation level, the most complicated and essential factor in active muscle force calculation based on the Hill equation. Then, the active muscle control model was evaluated by simulating the human response in volunteer sled tests. The results validated the proposed active muscle control method as successful and easily realized. Achieving muscle active control would further improve the bio-fidelity of the human body model. Show more

Keywords: Active muscle, BPNN control model, feedback control, Simulink, human head and neck model

DOI: 10.3233/JIFS-169410

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1161-1167, 2018

Authors: Yajie, Li | Qicheng, Chang

Article Type: Research Article

Abstract: The safety of the mechanical equipment is very important that gives mechanical fault diagnosing technique great significance. This article is focusing on the complex fault diagnosis applied on mechanical equipment. Since it is not easy to make an accurate explanation to the principle component when we use the principal component analysing method to extract the principal component, we use the factor analysis method in Step 1 to do the dimension reduction to the variables. We use Chebyshev’s inequality to do the estimation because we don’t know the variables’ distribution in Step 2. We do the fault diagnosing in Step 3. …We have different options to realize fault diagnosing. We can set a threshold according to our former experiences to do fault diagnosing. And compare it to the normal condition to get the differences thus to finalize diagnosing. We can also go to an expert. This step is called complex data analysing method. We will use this method to check the feasibility of this method. Show more

Keywords: Fault detection, data analysis, factor analysis, Chebyshev’s inequality

DOI: 10.3233/JIFS-169411

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1169-1176, 2018

Authors: Li, Youdong | Xie, Xinpeng | Liu, Quansheng

Article Type: Research Article

Abstract:  The relation between longitudinal emission reduction investment of supply chain enterprises and the government’s subsidy policy is studied in this paper, the game model against subsidy of the government for emission reduction investment of manufacture and retailer is developed. This study analyzes the optimal investment of enterprises and the optimal emission reduction subsidy of the government under the Nash and Stackelberg game conditions. The results show that the government’s emission reduction subsidies for two parties on the supply chain, as well as the benefits to such two parties, are affected by the cooperative relationship in the supply chain. That is, …manufacturer and retailer are in the highest position in the Nash game, followed by the Stackelberg game and the lowest in central decisions. Comparing the subsidy differences of the government in the emission reduction investment by manufacturer and retailer under different force structures, the longitudinal emission reduction investment in the supply chain and the government’s subsidy policy under different game conditions are concluded. Show more

Keywords: Low-carbon supply chain, emission reduction investment, government’s subsidy, game theory

DOI: 10.3233/JIFS-169412

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1177-1186, 2018

Authors: Runrun, Dong | Richards, William C.

Article Type: Research Article

Abstract: Strengthening environmental management of construction projects is the key to control the production of new pollution sources from the source to prevent damage to the ecological environment, and do a good job of environmental protection. Zhengzhou airport expansion project has obvious nature of social network, and management and structure complexity, social network analysis is an important method to analyze these organizational relationships and collaborative management. From the perspective of social network analysis and simulation tools, This paper focus on collaborative management mechanism based on BIM in the context of Zhengzhou airport expansion project, using network social relations project organization, the …author constructs the game simulation model and analyzes cooperation network generation mechanism of Zhengzhou airport expansion project, set up the snowdrift game strategy update rules, establish the evolutionary game model of scale-free network model. By MATLAB simulation, the author analyzes the factors that influence the frequency of cooperation project index, reveals the role of network topology with different network models for participation in Zhengzhou airport expansion project cooperation. Show more

Keywords: Building information model, Zhengzhou airport expansion project, collaborative management, scale-free network model, evolution, Environmental systems

DOI: 10.3233/JIFS-169413

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1187-1192, 2018

Authors: Muling, Tian | Muqin, Tian | Jieming, Yang | Li, Julie

Article Type: Research Article

Abstract: In order to make the RBF hidden layer centres being established more adaptively and avoid the blindness, this paper proposes a fusion algorithm in order to optimize the parameters of the RBF neural network used in recognizing the state of coal flotation. Firstly, in the optimization algorithm, the improved immune algorithm was used to determine the center position and the number of hidden layer of RBF neural network. Before this, the immune algorithm has been improved in several aspects, such as the initial population selection algorithm and the method for segment selection of affinity thresholds. In addition, the antibody removal …mechanism, antibody immune mechanism and antibody concentration regulation principle had also been added in immune algorithm. Secondly, in virtue of combining a fuzzy C-means clustering algorithm, the centers of the hidden layer were optimized accurately. Through the sample verification, the RBF neural network obtained by the fusion algorithm was proved to have been improved significantly in the accuracy of identifying the coal flotation state and has better generalization ability. Show more

Keywords: RBF neural network, centers of hidden layer, froth image of coal flotation, immune algorithm, fuzzy c-means clustering algorithm, state recognition

DOI: 10.3233/JIFS-169414

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1193-1204, 2018

Authors: Feng, Xin | Chen, Zhanfang | Liu, Zhuang

Article Type: Research Article

Abstract: Referring to the issue that the hop value of the range-free DV-hop positioning algorithm could not reflect the distance between two nodes within the communication range, this paper proposes an algorithm named as HCRDV-Hop. According to the proposed algorithm, the distance measured by hops between two nodes is re-treated as the specific value with dividing the received signal strength (denoted as RSSI) between nodes with the maximum average signal strength of nodes ( RSSI ¯ max ). Based on that, we also introduce the mathematical reasoning as well as provide the implementation procedures of the …proposed algorithm. Moreover, the simulation verification is then elaborated in order to evaluate the algorithm performance. According to the simulation result, we discover that the proposed HCRDV-Hop algorithm reveals better performance in the distribution of node positioning deviations and the relative positioning deviations. Show more

Keywords: Stereoscopic vision, endoscope, projection, medical image

DOI: 10.3233/JIFS-169415

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1205-1212, 2018

Authors: Jun, Li | Wei, Lu | Yuncheng, Wang | yonglei, Zhang

Article Type: Research Article

Abstract: With the development of aviation technology and the scramble for air supremacy is becoming increasingly fierce, people put forward higher requirements on the performance of the fighter. The thrust vector nozzle based on flow control has many advantages compared with the traditional mechanical control method, in the thrust vector technology, the thrust loss is low, it can also be applied in subsonic speed. Thrust vector technology has a wider application background. In this paper, the basic principle of counter current thrust vector technology is explained firstly, then the simplified derivation of the formula and the definition of related parameters are …derived by the control body analysis. And fluent software is used to simulate the existing experimental model, the obtained numerical results are compared with the experimental data available in the literature, verification proves that the numerical method is feasible. Then change the Maher number of outflow size of vector analysis to effect change. Finally, for thrust vector effect is not obvious under the Maher problem, the design provides a method for vacuum reverse two secondary channel, and its feasibility by using the method of numerical analysis, the vacuum in the two channel is increased, and the thrust vector angle can reach to 18.1 degrees from 1.7 degrees, an increase of about 10 times. Show more

Keywords: Thrust vector, vector angle, outflow Maher number, suction pressure, vacuum degree

DOI: 10.3233/JIFS-169418

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1213-1223, 2018

Authors: Li, Linna | Zhong, Dongwang | Mao, Xuerong

Article Type: Research Article

Abstract: The explosive containment vessels filled water can be used to experimentally investigate some problems about underwater explosion, such as the characteristics of shock wave propagation and bubble pulsation, as well as the dynamic response of submarines subjected to underwater explosion. And the water-filling explosion containment vessels, loaded corresponding hydraulic pressure, can be used to experimentally investigate deep-water explosion. The dynamic response of the simulated deep water explosion pressure vessels must be paid more attention for their serious consequences in accidental explosions. With an eye to this, this study included an explosion test which used a cylindrical explosive chamber comprising a …cylindrical shell and elliptical ends filled water under blast loading. The results in this study about the water-filling explosion containment vessels improved the understanding of law of the dynamic response, determined the carrying capacity and failure modes, and presented, on this basis, the theory of optimization design of the water-filling explosion containment vessels. Show more

Keywords: Dynamic response, underwater explosion, containment vessel, blast loading

DOI: 10.3233/JIFS-169419

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1225-1234, 2018