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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
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
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