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

Authors: An, Zhi | Song, Liangrong

Article Type: Research Article

Abstract: With the rapid development of China’s foreign trade, more and more attention is paid to the quality and efficiency of customs risk management. However, there are some subjective defects in most of the current tax risk assessment methods, which makes the results of risk assessment lack of authenticity and accuracy. Based on this, the identification and evaluation method of China tariff source risk based on AHP- entropy method was put forward in this paper, the problems existing in the current China’s tariff tax risk management method were analyzed on the basis of the brief introduction of the related theories and …technologies, the principles and characteristics of AHP- entropy method were described, and the tariff source risk identification index system based on AHP- entropy method was constructed, then the recognition, measurement and evaluation of the sources of risk were carried out. Experimental results show that the tax risk assessment based on AHP-entropy method can effectively improve the accuracy of the evaluation results and the accuracy of the risk response, and improve the quality and efficiency of risk management. Show more

Keywords: Risk management, customs tariff, AHP-, entropy method

DOI: 10.3233/JIFS-169399

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1053-1060, 2018

Authors: Zhang, Zhigang | Lu, Songfeng | Zhou, Xin

Article Type: Research Article

Abstract: It has been known that when an assisted driving item is added to the Hamiltonian of the main system, the efficiency of the resultant adiabatic evolution can be significantly improved. In some special cases, it can be seen that, only by adding an assisted driving Hamiltonian can the resultant adiabatic evolution work. So it seems that, the additional driving Hamiltonian plays an important role in adiabatic computing. In this paper, we show five kinds of possible forms of the driving Hamiltonian, and analyses the performance of the algorithms. We find that the former fourth kinds of driving Hamiltonian may still …cause the adiabatic algorithm lose their efficiency when the overlap of the initial and final states equals some special value. More importantly, we find that only the final kinds of the driving Hamiltonian can be extended. By modifying its interpolating functions, the final kind of adiabatic algorithm can suit any fidelity of the systems to keep the adiabatic evolution always be valid. Finally, the time complexity of the extended algorithm is better than the original adiabatic algorithm, which owns a constant running time complexity. Although the time complexity is shifted to the complexity of implementing the driving Hamiltonian added. Show more

Keywords: Fidelity, driving Hamiltonian, adiabatic evolution, interpolating functions

DOI: 10.3233/JIFS-169400

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1061-1070, 2018

Authors: Xu, Qiang | Zhao, Yue | Hou, Tao | Wang, Jianxin | Zhao, Xin | Liu, Jiegang | Wang, Dan

Article Type: Research Article

Abstract: Various analogue models are applied to research the structural evolution of fold-and-thrust wedges. Numerical models are used to explore the fold-thrust wedges and some enlighting research has been made. But combination of the two models have rarely been given sufficient attention. Up to now, landward-vergent thrust wedges, which are uncommon in nature, have not yet been adequately explained and can only be reproduced in a few analogue models under particular conditions. In order to look closer at the formation conditions of fold-and-thrust wedges and to explore the origin of landward-vergent thrust wedges, we conducted a series of analogue and numerical …models under different conditions of substrate. Results of our models revealed that in the frictional basal substrate, and under conditions of a large coefficient of frictional basal, it deformed the fold-and-thrust wedges. Purely landward-vergent thrusting wedge has formed, in the presence of an extremely weak or ductile basal décollement. The number of Landward-fault and fault displacement decreased, when the thickness of the ductile basal increased or the velocity decreased. Show more

Keywords: Fold-and-thrust wedge, numerical modeling, finite difference method, forming conditions

DOI: 10.3233/JIFS-169401

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1071-1081, 2018

Authors: Zhao, Xuan | Wang, Shu | Yu, Man | Yu, Qiang | Zhou, Chenyu

Article Type: Research Article

Abstract: Speed bump set before truck scale is to prevent the error of weighing measurement caused by truck driver non-standard operation through the weighing platform. However, the vehicle vibration produced by the speed bump will affect the weighing result if the speed bump is closer to truck scale, and can’t play a role in restricting driver’s operation if the speed bump is farther to truck scale. This paper researches the reasonable position of speed bump based on triaxial truck vibration characteristics. Simulation model of vibration in the process of triaxial truck passing the speed bump is built based on the speed …hump model and dynamics model of 5DOF 1/2 triaxial truck. Then vehicle vibration characteristics are researched at the speed of 1.8 km/h, 3.6 km/h, 5.4 km/h, 7.0 km/h, and obtains the vibration decay time with different speed, which determine the minimum distance between speed bump and truck scale. The accuracy of the model is tested on the commercial vehicles safety test platform. The results of simulation and experiment indicate that model of vibration in the process of triaxial truck passing the speed bump can accurately calculate the minimum distance between speed bump and truck scale with different speed, which maximum error is 5.81%. Show more

Keywords: Vehicle dynamics, speed bump position, truck scale, three-axle truck

DOI: 10.3233/JIFS-169402

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1083-1095, 2018

Authors: Yin, Yi | Feng, Dan | Li, Yue | Yin, Shuifang | Shi, Zhan

Article Type: Research Article

Abstract: One of the core content of the prediction is that, on the basis of text label attributes, we can use the algorithm and a heuristic approach to acquire the association of texts, and extract the available text for the user. Therefore, this paper proposes a new content. First, the multi-label attributes are chosen to be the feature structure of text, and it is given the classification and assignment according to the distinguish method of the statistical data. Second, considering the relation between texts, we improve the traditional maximum entropy method. We are able to control the number of multiple leading …text and subsequent text at the same time. Our method makes stronger association of text, and it leads to a more unified direction and higher correlation of obtained text through the label attributes. Then we can predict the similar texts. Experiments show that with the consideration of multi-label attributes of text and the control of the number of leading text as well as the subsequent text, the recall rate and precision are definitely improved when compared to similar existing methods. Show more

Keywords: Text prediction, maximum entropy model, leading text, subsequent text, label attribute

DOI: 10.3233/JIFS-169403

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1097-1109, 2018

Authors: Hejun, Zhu | Liehuang, Zhu | Meng, Shen | Khan, Salabat

Article Type: Research Article

Abstract: The paper studied the encrypted network behavior recognition and mining in a large amount of network data environment, and proposed a fast online recognition method for the encryption network behavior based on the combination of correlation coefficient and k-nearest neighbor (KNN). Taking the encrypted Twitter traffic as the research object, a lot of encrypted Twitter network behaviors including message sending, pictures sending and other behaviors were analyzed, and then the statistical characteristics to express the encryption network behavior were extracted, and the samples library of encryption network behaviors based on correlation coefficient were established. Then, through the real-time collection of …interactive network data, the correlation coefficient between the interactive data and the sample library were calculated, in order to overcome the noise interference of the similar data traffic. Meanwhile, the data packets after the similarity filtering were classified as the true behavior or the false behavior by using the KNN algorithm, and then the encryption network behavior was identified automatically by the default threshold of the correlation coefficient in big data environment, and compared with the traditional correlation coefficient method, the recognition efficiency of this method was greatly improved, which reaches to about 94%. Based on above, combined with the network vulnerability analysis, web crawler and virtual identity mining, the comprehensive encryption network behavior mining was successfully realized in the environment of big data. Show more

Keywords: Encryption network behavior identification, correlation coefficient, k-nearest neighbor, encryption network behavior mining

DOI: 10.3233/JIFS-169404

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1111-1119, 2018

Authors: Xia, Xintao | Li, Yunfei | Dong, Shujing | Zhu, Wenhuan | Chen, Tianju

Article Type: Research Article

Abstract: According to the demand of hign-precision, and tapered roller bearing is one of the most important components in the mechanotronics, there have a strict requirement for the performance of bearing. Bearing failure is one of the leading causes of breakdown in rotating system. Based on ANSYS/LS-DYNA, dynamic vibration characteristics of tapered roller bearing as the roller generatrix is logarithmic curve are analyzed. The value of vibration acceleration of the tapered rolling bearing with different crowning value of the roller is extracted. During the analysis, the amplitude of vibration acceleration of the tapered roller bearing without crown at start running time …is higher, and it does not tend to a stable state as time goes on. The vibration acceleration changes according to the crowning value of the roller. When crowning value is a specific value, running condition of the tapered rolling bearing will reach a steady state and the value of vibration acceleration is smaller than the other bearings. Therefore, crowning value of the roller is one of the important factors that affect the vibration acceleration of tapered roller bearings. Show more

Keywords: Crown tapered roller bearings, dynamics, ANSYS/LS-DYNA, vibration characteristics

DOI: 10.3233/JIFS-169406

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1121-1131, 2018

Authors: Kang, Ma | Yan, Xu | Weibin, Li

Article Type: Research Article

Abstract: The dynamic analysis of damaged steel frame structure with removal column utilizing alternative load path method was conducted in the FE software Opensees with the consideration of three random parameters including material yield strength, dead load and live load. Due the enhancement of material’s yield strength under the high strain rate condition, steel material property was gained through the cowper-symonds model. Taken the sample steel plane frames of 7-degree anti-earthquake defensive area the example, loading re-distribution was discussed after the scenarios of middle or side column removal in the first floor. In the final the dynamic yield strength amplification coefficient …and the bending moment ratio of beam-ends among the direct influenced region were statistics and researched. Show more

Keywords: Dynamic response, steel frame, alternate load path, removal column, bending moment ratio, dynamic yield strength amplification coefficient

DOI: 10.3233/JIFS-169407

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1133-1140, 2018

Authors: Xingbo, Jin | Ju, Wang | Dali, Wang | Chunsheng, Fang

Article Type: Research Article

Abstract: As the core of rational utilization of computing resources, the scheduling algorithm has gained the interest of many researchers. Aimed at meta-job scheduling in heterogeneous environments, this paper puts forward three algorithms: the meta-job scheduling algorithm based on deviation (MaxD-min heuristic), the meta-job scheduling algorithm based on relative deviation (MaxRD-min heuristic), and the Cordwood algorithm (CA). The former two Algorithm are improvements of the classic Min-min algorithm. The latter CA algorithm is a new method that tries to place each building block on the tray with minimal amount of Sufferage. The result of experimenting shows that the three algorithms, in …comparison to Min-Min and Max-Min algorithm, can effectively reduce the total span of scheduling (makespan). Show more

Keywords: Makespan, MaxD-min algorithm, MaxRD-min algorithm, CA algorithm

DOI: 10.3233/JIFS-169408

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1141-1151, 2018

Authors: Ma, Guolu | Liu, Lixian | Yang, Guiyang | Wang, Chen | Zhao, Bin

Article Type: Research Article

Abstract: In order to realize the online thickness measurement of thin films, an automatic film thickness measuring system was established, and its optical design, mechanical structure design, as well as the analysis and evaluation of the optical aberration based on the software of ZEMAX were researched. Project two laser beams vertically onto the same position of the film respectively from upper and lower side there will be two round spots on the film surfaces, image the two spots onto the image detector the film thickness can be got according to the relationship between the measured film thickness and the orthocenters of …the upper and lower imaging spots. During the calibrating experiment, a nonlinear correction method was proposed. Experimental results indicated that the measurement precision is±1 μm. After a period time of three months online working, the system was proven to have the characteristics of good stabilization, high precision and convenient maintenance. Show more

Keywords: Film measuring, laser triangulation measurement, thickness measurement, optical imaging measurement

DOI: 10.3233/JIFS-169409

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1153-1159, 2018

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