Journal of Intelligent & Fuzzy Systems - Volume 35, issue 4

Authors: Hu, Feng | Huang, Pingming | Dong, Fenghui | Blanchet, A.

Article Type: Research Article

Abstract: The overturning stability issue of continuous girder bridges is critical so that it is necessary to obtain the true overturning stability performance. At present, the parameters uncertainties in the structure were neglected in the stability evaluation method of the long-span continuous girder bridges, which leads to the unknown safety level of the continuous girder bridges during the cantilever construction. Therefore, a calculating method for overturning stability safety factors of long-span continuous girder bridges in cantilever construction based on inverse reliability theory is presented in this paper. The proposed method is extended from the traditional deterministic form of safety factor, which …considered influence of uncertainty factors among structure parameters was used to obtain safety factors through target reliability index based on inverse reliability theory. Overturning stability safety factor of long-span continuous girder bridges in cantilever construction and parameter sensitivity were assessed using the proposed method, as well as the reasonableness of longitudinal overturning stability safety factors was discussed. The results show that parameter uncertainties have a major effect on overturning stability safety factors of long-span continuous girder bridges in cantilever construction, ignoring parameter uncertainties will result in overestimation of overturning stability safety factors of long-span continuous girder bridges in cantilever construction, reasonable safety factor should be obtained based on target performance. The sum of the self-weight of the travelling form and the pouring segment has the most significant effect on the safety factor. It’s critical to ensure a reasonable situation of the travelling form during the construction stage in case of falling. The resistant moment of the temporary support and the eccentric distance of the support also need to be handled carefully because of the remarkable effect. The proposed method is stable and reliable, which will be convergent to the same result from different initial value in spite of different iteration progress. Show more

Keywords: Bridge engineering, overturning stability safety factor, inverse reliability theory, cantilever construction, long-span continuous girder bridges, uncertainty, target reliability index

DOI: 10.3233/JIFS-169725

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4027-4035, 2018

Authors: Chen, Kexun | Zhang, Xueying | Kiatsupaibul, K.

Article Type: Research Article

Abstract: The traditional Gauss-Newton iterative method is highly dependent on the initial value when locating the multimode GNSS receiver. If the difference between the initial value and the true value is higher, the algorithm has the problem of increasing number of iterations, and the algorithm lacks the self main monitoring process of the GNSS receiver, which leads to a great reduction in the positioning accuracy. A high precision multi-mode GNSS positioning algorithm is proposed. It is based on the composition and working principle of multimode GNSS multimode receiver, and the pseudo distance positioning distance is obtained by using GNSS multi constellation …combined location algorithm. It uses a direct algorithm without initial value and iteration through the new algorithm of high precision positioning. After linearizing the pseudo range location distance equation, the user’s general position is calculated. After the pseudo range location distance equation is carried out in the general position of the user, the user’s position correction is calculated by weighted least squares, and the exact location of the user is obtained. The receiver autonomous integrity monitoring (RAIM) algorithm based on the least square residual method of GNSS receiver is used to realize the self-improvement monitoring of GNSS, and to further improve the precision of the multi-mode GNSS positioning algorithm. Experimental results show that the proposed location algorithm has high location accuracy and stability. Show more

Keywords: High accuracy, multimode GNSS, positioning algorithm, receiver, pseudo range fusion, RAIM algorithm, perfection

DOI: 10.3233/JIFS-169726

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4037-4048, 2018

Authors: Yang, Guangyu | Qiu, Hongbing | Christakos, P.

Article Type: Research Article

Abstract: The traditional credibility-based security performance analysis method of physical layer transmission link for millimeter wave communication system applies single analytic hierarchy process and the built evaluation index system has limitation. To address this problem, a security performance evaluation method for physical layer link of millimeter wave communication system based on fuzzy AHP is proposed in this paper. Combined with fuzzy evaluation and analytic hierarchy process, the safety performance evaluation index system of physical layer transmission link for millimeter wave communication system is built from 4 aspects: asset, threat, vulnerability, and security. Experimental results show that the proposed method can obtain …valuable evaluation results, and it is reliable and accurate for analyzing the security performance of the physical layer transmission link for millimeter wave communication system. Show more

Keywords: Millimeter wave communication, fuzzy AHP, physical layer, transmission link, weight assignment, security performance

DOI: 10.3233/JIFS-169727

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4049-4058, 2018

Authors: Zhen, Maofa | Muzaffar, H.K.T.

Article Type: Research Article

Abstract: Nowadays, the multi-sensor information fusion algorithm of the integrated power grid operation system based on Bayesian network is disturbed by the high flow data, causing that the single data fusion level and large convergence error. Therefore, an intelligent fusion algorithm of multi-sensor information in integrated power grid system is proposed. According to the asynchronous aggregation distribution construction algorithm based on hierarchical clustering, and in accordance with the hierarchical clustering, all nodes are put to aggregate and construct a collection tree according to the distance, then calculate the optimal grouping number. Then based on the number of grouping, grouping is implemented. …According to asynchronous distributed strategy, selection of the optimal aggregation nodes and construction of the optimal transmission topology are carried out, to quickly find the aggregation mode of sensor data in power grid with minimal overhead, in order to reduce the data flow of power grid. In the aggregation distribution environment of multi-sensor, based on the principle of multi-sensor information fusion and detection in the integrated power grid operation system, the information fusion abstract model of the integrated power grid operation system is applied. The multi-sensor information fusion is divided into three levels: data level, feature level and decision level. The functional structure of multi-sensor information fusion can realize the effective fusion of multi-sensor information. The experimental results show that the proposed algorithm has a high accuracy and stability of information fusion, and can reduce the loss of the power grid. Show more

Keywords: Integrated power grid, operation system, multi-sensor, hierarchical clustering, asynchronous distributed, information intelligent fusion

DOI: 10.3233/JIFS-169728

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4059-4069, 2018

Authors: Xiao, Hu | Zhao, Jipeng | Shi, Xiaoqiang | Gilbert, R.A.

Article Type: Research Article

Abstract: The small fillet aluminum alloy cavity is a typical structure. The analysis and experiment have been conducted on the chatter at the corner of the aluminum alloy during milling process, the results show that continuity changing of spindle speed acceleration and size effect (special ploughing effect) are the main factors of chatter. The Axial Depth of Cut–Spindle Speed Analysis Method is not effective to reflect the chatter, the previous experiments have proved this point. This study investigated the cutting chatter at the corner during the circular milling process by using a new polar coordinates geometric model. The mechanics of the …process are modeled by considering size effect, while regarding the ploughing effect as a new important factor. The chatter of circular milling is verified and tested both at the reduced speed of spindle and reduced feed per teeth. Acceleration of spindle speed can cause chatter and ploughing effect for enhanced chatter stability because the changed process damping occured at small size. Show more

Keywords: AL7075, spindle speed, ploughing effect, chatter

DOI: 10.3233/JIFS-169729

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4071-4081, 2018

Authors: Tan, Qulin | Cai, Xiaopei | Qin, Xiaochun | Hu, Jiping | de Oliveira, G.

Article Type: Research Article

Abstract: Through fuzzy membership function, the fuzzy algorithm of image boundary detection based on power function can transform ordinary space into generalized fuzzy space. However, the algorithm has a large amount of operation and slow speed, and it will lose the boundary information of some low gray value in the image, thus the quality of the image boundary detection is poor. Therefore, a bilinear fast enhancement fuzzy algorithm for image boundary detection is proposed in this paper. Based on the defined generalized fuzzy set GFS and the generalized fuzzy operator LGFO, the linear left half trapezoid fuzzy distribution function is first …used as the generalized membership transformation of the image.The general space of grayscale image is transformed into generalized fuzzy space, and then boundary detection algorithm based on bilinear fast image enhancement is used to transform color image into gray scale and transform to generalized fuzzy set. The generalized fuzzy operator LGFO is used to enhance the contrast of the generalized fuzzy sets. The generalized fuzzy set after the enhancement is transformed into an ordinary fuzzy subset. The boundary extraction is carried out for the ordinary fuzzy subset after processing, and the image boundary detection is realized. The experimental results show that the proposed algorithm greatly improves the speed and quality of image boundary detection. Show more

Keywords: Image boundary detection, bilinear, fast fuzzy enhancement, LGFO, generalized fuzzy space

DOI: 10.3233/JIFS-169730

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4083-4095, 2018

Authors: Zheng, Shuihua | Du, Weiyuan | Zhao, Lipan | Zhang, Jiansheng | Li, Xiangpeng | Ashraf, Muhammad Aqeel

Article Type: Research Article

Abstract: In this paper, the changes of suspended concentration of particles with different particle sizes were studied in different speed and height. Indoor human activities can cause resuspension of particles. In this paper, a miniature room model is adopted, using electric draw stem to control the forward movement of the footstep and the upper and lower motion to study the influence of different footstep motions in the small space on the resuspension of particles. There are three kinds of speeds, including 0.05 m/s, 0.1 m/s, 0.15 m/s, and three kinds of lifting height, including 0.06 m, 0.12 m, 0.18 m. Suspended …ratio r p value in the range of 0–10–6 , when lifting heights are 0.06 m or 0.12 m, and speed is increasing, the particles suspension rate continuous growth, when lifting height is 0.18 m, particulate suspension rate presents the trend of increased and then reduced. When speeds are 0.05 m/s or 0.1 m/s, with lifting height increasing, the particles suspension rate increase. When speeds is 0.15 m/s, with lifting height increasing, particulate matter suspended the first rise and fall, including PM10 suspension rate has been a declining trend. Show more

Keywords: Particles matter, footstep motion, suspension rate, resuspension, small box

DOI: 10.3233/JIFS-169731

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4097-4105, 2018

Authors: Zhu, Xiaogang | Choulli, E.

Article Type: Research Article

Abstract: Traditional MESH-based high-voltage transmission line condition data acquisition and communication systems collect all types of transmission line related condition data using the wireless monitoring device, and transmit condition data to the information center point through the wireless mesh node by wireless multi-hopping. The traditional methods are easy to generate lagging response and the high energy consumption, which result in high system condition data loss rate and low comprehensive utilization value. Therefore, smart distribution network transmission line condition data acquisition and communication system is designed based on the overall structure of the system, including data acquisition module, data communication module, transmission …line condition monitoring communication module, and wireless transmission module of transmission line condition data. Tension, ambient temperature, solar radiation temperature, and wind direction signals collected by the data acquisition module are transmitted to the data communication module. After the collected signals are packaged to wake up G24, and establish a good GPRS network connection for data transmission. The transmission line condition monitoring communication module adopts an embedded operating system, which can combine its own functions to cut down the operating system, to speed up the response to the interruption event. The MCU in the transmission line condition data acquisition and communication system of smart distribution network realizes the command control of G24 by sending AT commands through the UART port. Data exchange between terminal and master station and addition of data items ensure the normal and smooth data communication. The experimental results show that the designed system can significantly reduce the loss rate of transmission line condition data and improve the system’s comprehensive utilization capability. Show more

Keywords: Smart distribution network, transmission line, condition data, communication system, interruption event, AT commands

DOI: 10.3233/JIFS-169732

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4107-4120, 2018

Authors: Zhao, Zhiwei | Ni, Guiqiang | Shen, Yuanyuan | Hassan, Nasruddin

Article Type: Research Article

Abstract: In the past, intelligent system often realized reasoning operation by interpolation method for one-dimensional sparse rule base, and could not analyze fuzzy reasoning of multi-dimensional sparse rule condition, which greatly improved the error and volatility of reasoning results. Therefore, a multiple multi-dimensional fuzzy reasoning algorithm based on CMAC neural network weighting is proposed. Through the CMAC neural network, the influence weight of each variable is extracted. CMAC neural network is applied to train weights of multi-dimensional variables in multiple multi-dimensional fuzzy reasoning rules, and local correction weights are made, so that the weights of each modification are very few. After …fast learning, the influence weights of the multi-dimensional variables on the reasoning result are obtained. A multiple multi-dimensional fuzzy reasoning algorithm based on CMAC neural network weighting is applied to input the given neighboring rules into CMAC neural network, and the weights of the variables in the neighboring rules are obtained. According to the linear interpolation and the sequence of interpolation cardinal numbers, the influence weights of the variables in the observation value are determined. According to the linear interpolation reasoning method, a new fuzzy rule is constructed. Based on the approximation between the new fuzzy rules and the observed values, the similarity between the predicted values and the new fuzzy rules is constructed. The result of fuzzy inference is obtained according to the similarity. The experimental results show that the proposed algorithm has high reasoning precision and stability, and the practical application effect is good. Show more

Keywords: Neural network, multiple multidimensional, fuzzy reasoning, CMAC, weights, fuzzy rules, similarity

DOI: 10.3233/JIFS-169733

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4121-4129, 2018

Authors: Han, Liu | Shang, Tao | Shu, Jisen | Khan Chowdhury, Ahmed Jalal

Article Type: Research Article

Abstract: The traditional time series data clustering for landslide displacement prediction is based on Euclidean distance measure. The time series data is clustered by distance calculation of two vectors. The correlation between components is not considered. The multiple components with single feature will interfere with the clustering results, and the accuracy of clustering results is greatly reduced. To address this problem, an intelligent clustering algorithm for time series data in landslide displacement prediction based on nonlinear dynamic time bending is proposed in this paper. By reconstructing the phase space of the landslide displacement time series, the phase space transposed matrix is …obtained as the time series reconstruction matrix. After embedding dimension processing, the time series of landslide displacement is predicted by SVM data mining model. Dynamic time warping calculation is based on the correlation of time series sequence and the components. The local optimal solution is obtained by recursive search, and the whole curve path is obtained. Clustering calculation of time series data set is carried out by using hierarchical clustering algorithm according to bending path. The intelligent clustering results of time series data in landslide displacement prediction is obtained. Experimental results show that the proposed algorithm has better clustering effect and higher clustering accuracy. Show more

Keywords: Landslide displacement, time series data, intelligent clustering, nonlinear, dynamic time bending, hierarchical clustering algorithm

DOI: 10.3233/JIFS-169734

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4131-4140, 2018