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

Authors: Yang, Xiaohong | Yang, Donghong | Aue, S.

Article Type: Research Article

Abstract: The traditional algorithm does not take account of the authentication problem of terminal and server. It has poor security, heavy computation of encryption or decryption, and low efficiency. To address these problems, a new intelligent encryption algorithm for network communication parallel data of information release terminal is proposed in this paper. After users’ registration, the registered ID, user password, and two random numbers are entered. The first authentication data is obtained by calculating and then transferred through a secure channel to the server for the first authentication. After the success of the identity authentication in the information release terminal and …the server, the user of the information release terminal obtains the release authority. Self-inverse key matrix is generated with MapReduce parallel mechanism. Source release information data file is divided into blocks in the communication process, and each block is encrypted with key matrix. After dividing the plaintext matrix and the key matrix, the plaintext is encrypted according to the Hill encryption principle. After obtaining the ciphertext and key matrix, the plaintext is decrypted according to the principle of Hill decryption principle. Experimental results show that the proposed algorithm has high security and efficiency. Show more

Keywords: Information release terminal, network communication, parallel, data encryption

DOI: 10.3233/JIFS-169745

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4245-4255, 2018

Authors: Wu, Gengrui | Bo, Niao | Wu, Husheng | Yang, Yong | Hassan, Nasruddin

Article Type: Research Article

Abstract: The key algorithm of the traditional system is aimed at the minimum of a certain factor, but does not consider the uncertain conditions and various modes of transportation, and the result of the scheduling is not excellent. To this end, a new fuzzy scheduling optimization system based on ant colony algorithm for multi-objective transportation path is designed. Based on the GPS module, a fuzzy scheduling optimization system based on ant colony algorithm for multi-objective transportation path is designed, and the overall structure of the system is given. The scheduling optimization problem of freight transport lines is described, and the volume …of demand, the total volume of delivery and the remaining number of vehicles are made fuzzy processing. The goal is to minimize the total time of the advance or tardiness of the transportation and the total cost, so that the fuzzy scheduling model of transportation path is built. According to the principle of ant colony algorithm, the built multi-objective model will be transformed into a single objective model, and combined with the objective function, the index heuristic information and the performance of ant colony algorithm are set, and the optimal solution of that the deviation is minimum with the ideal solution is calculated by using ant colony algorithm, so as to achieve the multi-objective transportation path scheduling. The experimental results show that the total transportation distance of the designed system is short, the total cost is low, and the goods can be delivered in time. Show more

Keywords: Ant colony algorithm, multi-objective, transportation path, fuzzy, scheduling

DOI: 10.3233/JIFS-169746

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4257-4266, 2018

Authors: Gu, Chengxi | Kim, K.F.

Article Type: Research Article

Abstract: In traditional clustering algorithm, the number of classes must be set beforehand and it is difficult in setting parameters. For uncertain environment, the precision of clustering is low and the scalability is poor. To address these problems, a new fuzzy clustering algorithm for interactive multi-sensor probabilistic data is proposed in this paper. The optimal hierarchical fusion algorithm with no prior knowledge is used to sort the sensors used for fusion according to the quality and the importance of information. The fusion of the first layer is the fusion of probabilistic data of two interactive sensors. The fusion of the second …layer is the fusion of the fusion results of the first layer and the probability data of the other sensor to obtain the final fusion results. On this basis, the fuzzy C mean clustering algorithm is proposed to cluster the interactive multi-sensor probabilistic data. Wireless sensor networks are dynamic, and it is difficult to determine the number of classes beforehand. Subtraction clustering algorithm is used to adaptively determine the number of classes and the initial cluster center though building mountain function as the data density index. Thus, the convergence speed of the algorithm is accelerated and the local optimum is avoided. Experimental results show that the proposed algorithm has high clustering accuracy and good scalability. Show more

Keywords: Interactive, multi-sensor, probability, data, fuzzy clustering

DOI: 10.3233/JIFS-169747

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4267-4275, 2018

Authors: Liu, Jingtian | Jiang, Wenjuan | Szczepanska-Alvarez, S.H.P.

Article Type: Research Article

Abstract: The traditional algorithms reduce the recognition accuracy because of the influence of the fluctuation of the camera position during the walking of the robot. For this reason, a new intelligent recognition algorithm for color vision image position of soccer robot is proposed. The structure of the soccer robot vision system is designed. The panoramic visual sensor VS-C450 N-RC and the image acquisition device based on the IEEE 1394 standard are used to obtain color visual images, and the acquired distorted images are processed. Comparing color patches, an effective color patches scheme is proposed based on practice. RGB space is converted …into HIS space, color, saturation and brightness are used to represent colors. According to the principle of contour extraction, an effective color patch extraction and recognition algorithm is proposed to match the robots on the actual field so as to obtain information such as the position of the soccer robot. The pose information of the robot is represented by the pose information of the color patches, and the position of the color visual image of the soccer robot is determined. Experimental results show that the proposed algorithm has high recognition accuracy. Show more

Keywords: Soccer robot, color, visual image, position, intelligent recognition

DOI: 10.3233/JIFS-169748

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4277-4287, 2018

Authors: Zhao, Xi | Li, Ying | Boonen, P.

Article Type: Research Article

Abstract: There are many local optimums for the non-convex function. The traditional algorithm is easy to fall into the local optimum and cannot obtain the optimal solution of non-convex function. To address this problem, a new intelligent optimization algorithm for non-convex function based on genetic algorithm is proposed in this paper. A proximal point sequence is obtained by using the idea of proximal point algorithm. Two simple and easily solved non-convex function subproblems are constructed by convexity technique, cutting plane method, and alternating linearization method. The basic operation process of genetic algorithm is analyzed. The combination selection operator, the initial population …molding, the cross probability and the mutation probability are improved to ensure the global optimum. The processing result of the non-convex function is taken as the objective function. The mapping relationship between the fitness function and the objective function is constructed. Intelligent optimization of non-convex function is achieved by optimized genetic algorithm. Experimental results show that the proposed algorithm can obtain the global optimal solution of the non-convex function, and the optimization performance is better. Show more

Keywords: Genetic algorithm, non-convex function, intelligence, optimization, global optimal solution

DOI: 10.3233/JIFS-169749

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4289-4297, 2018

Authors: Liu, Rong | Debicki, R.D.

Article Type: Research Article

Abstract: The traditional abnormal location algorithm ignores the uncertainty of wireless sensor networks, which is not suitable for practical applications, and has low accuracy of location. To address this problem, a new fuzzy weighted location algorithm for abnormal target in wireless sensor networks is proposed in this paper. For the characteristics of spatiotemporal association and association of non-spatiotemporal attribute, the abnormal target is identified by multi-attribute association algorithm. Considering that Bayesian networks can effectively express dependencies between variables, Bayesian networks are used to establish the dependency model of non-spatiotemporal attribute. The dependence structure of non-spatiotemporal attributes is obtained by structure learning. …The parameter learning of each node of the network structure is carried out to obtain the conditional probability table. The confidence degree of attribute association is used to judge whether the attribute association pattern of the point to be detected is an abnormal pattern. The abnormal target location problem is described. The coordinates of sensor node with abnormal target are identified by the weighted location algorithm. The circles with the centers of three points not on a straight line and the diameter of the signal intensity indicator distance are drawn to obtain the abnormal target position. The weights for weighted location are obtained by fuzzy algorithm. Experimental results show that the proposed algorithm has high accuracy of location. Show more

Keywords: Wireless sensor network, abnormal target, fuzzy weighting, location

DOI: 10.3233/JIFS-169750

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4299-4307, 2018

Authors: Ye, Kai | Ng, M.

Article Type: Research Article

Abstract: When the current algorithm encrypts cloud computing user behavior data, it cannot effectively resist external attacks. When there are many feature data, the encryption performance is poor. To solve this problem, a secondary encryption algorithm for data based on coupled control game mechanism is proposed. The piecewise linear chaotic maps and Fibonacci sequence perturbations are utilized to obtain pseudo-random numbers and improve the key’s mapping space, and can effectively defend against threats and attacks. Based on the piecewise linear chaotic map encryption algorithm, the discrete chaotic integrated map encryption algorithm based on the coupled control game mechanism is adopted. After …group-based encryption, the user behavior feature data is mapped into the encryption source-optimization evolution structure, and encrypted mapping is performed piecewisely. The encrypted data is used as the seed-derived set in the coupled control game mechanism, and the competition mechanism is adopted to perform the second discrete chaotic optimization on the encrypted data. The encrypted data ciphertext with the lowest chaotic discrete coefficient and the best game performance is selected as the output results of the coupled control game. Experimental results show that the proposed algorithm can effectively improve the encryption performance and improve the operation security of cloud computing network. Show more

Keywords: Cloud computing, user behavior features, data encryption, secondary intelligent encryption

DOI: 10.3233/JIFS-169751

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4309-4317, 2018

Authors: Hua, Dong | Wang, Longjun | Xu, Yufeng | Li, Hongyan | Gombay, N.

Article Type: Research Article

Abstract: In order to reduce energy consumption of network nodes, it is necessary to design a monitoring system for energy consumption of network nodes. When the current network nodes energy consumption monitoring system is used to monitor and control energy consumption of nodes, there are problems of low monitoring efficiency and poor energy saving. A fuzzy system design method is proposed in this paper for energy consumption monitoring of wireless sensor network nodes. The energy consumption monitoring daemon on sensor nodes, the energy consumption monitoring program on gateway nodes and the control program on the host PC in the fuzzy system …for energy consumption monitoring of wireless sensor network nodes are designed and analyzed. The change of energy in nodes is regarded as an important condition for selecting work or sleep. The fuzzy power control algorithm is used to control the node sleep mechanism and the node wake-up mechanism in the wireless sensor network to complete the design of the fuzzy system for energy consumption monitoring of wireless sensor network nodes. The experimental results show that the proposed method has high monitoring efficiency and energy saving performance. Show more

Keywords: Wireless sensor, network nodes, energy consumption monitoring, fuzzy system

DOI: 10.3233/JIFS-169752

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4319-4328, 2018

Authors: Zhou, Hua | Wilke, S.V.

Article Type: Research Article

Abstract: At present, special domain image encryption and compression algorithms have problems such as poor encryption and image compression, long time consuming of encryption and compression, and no guarantee of image compression quality. In this regard, this paper proposes an encryption and compression algorithm for spatial domain image selection based on hyperchaotic system. The hyperchaotic Chen system is selected to decompose the dynamics of the hyperchaotic system. The decomposition result is replaced by image scrambling, and the chaotic sequence output from the hyperchaotic Chen system is preprocessed. The two groups of sequences are used to complete the image scrambling so that …the image is encrypted for the first time. The discrete cosine basis is applied to make sparse representation of the original image after scrambling. The partial Hadamard matrix, which is controlled by the Logistic chaotic map, is used as the measurement matrix in the compressed sensing, and the two-dimensional projection measurement of the image is done to complete the image compression. The hyperchaotic Chen system is used to cyclically shift the projection results to change the pixel value of the image, and the final cipher image is obtained. The experimental results show that the algorithm anti-attack coefficient is 0.99, the average compression time is 7 s, and the compressed image has high resolution and strong confidentiality. The proposed algorithm is superior to the current algorithm in security and other performance, and can provide support for this field. Show more

Keywords: Hyperchaotic system, special domain image, selective encryption, compression

DOI: 10.3233/JIFS-169753

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4329-4337, 2018

Authors: Xu, Jing | Newman, T

Article Type: Research Article

Abstract: Current methods lack generality and self-adaptation, resulting in large difference in throughput between networks, high packet loss rate, and long page response time. To solve these problems, an online resource sharing system design method is proposed based on fuzzy control for enterprise networks. A four-layer online resource balanced sharing system is designed, including three parts: management plane, control plane and forwarding plane. The fuzzy control method is adopted to design an online resource balanced sharing system controller for enterprise networks, and an adaptive method is used to adjust the variable parameters of the fuzzy controller and calculate the controlled quantity …of system server. Through the obtained controlled quantity, the amount of requests should be distributed to each server is calculated. With these requests as the standard, online resources are modified to achieve the balanced sharing of online resources of enterprise networks. Experimental results show that the proposed method can effectively reduce the packet loss rate, reduce the load difference between networks, and better realize the balanced sharing of resources between networks in the system. Show more

Keywords: Enterprise networks, online resources, balancing, sharing, fuzzy control

DOI: 10.3233/JIFS-169754

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4339-4349, 2018