Journal of Intelligent & Fuzzy Systems - Volume 37, issue 1

Authors: Uma Maheswari, P. | Manickam, P. | Sathesh Kumar, K. | Maseleno, Andino | Shankar, K.

Article Type: Research Article

Abstract:  Named Data Networking (NDN) is a recent Internet model, takes the advantages and resolves the drawbacks of traditional TCP/IP architecture to satisfy the increasing demands on communication. Every NDN router has a pending interest table (PI) to store all the interest packets (I-pkts) waiting for the arrival of data packets (D-pkts). In case of the arrival of enormous I-pkts, it might be hard for an NDN router to store all I-pkts in the limited PIT space. So, a novel PIT management scheme becomes essential for effective PIT utilization. This paper presents a new PIT sharing algorithm based on the hybridization …of bat optimization (BO) algorithm and fuzzy logic (BFPIT), to accommodate number of I-pkts in a sharing NDN (SN) node. The BFPIT algorithm intends to identify the optimal SN node sharing node to store I-pkts of a requestor NDN (RN) node. The proposed BFPIT algorithm operates in two stages: BO algorithm for preliminary SN (PSN) node selection and fuzzy logic for final SN (FSN) node selection. For validation, the proposed method is implemented, and the simulation results are compared with the k-nearest neighbor (k-NN) algorithm. The experimental results revealed that the BFPIT algorithm significantly increases the CHR and minimizes the average content delivery time. Show more

Keywords: Network, NDN, fuzzy logic, PIT, bat optimization

DOI: 10.3233/JIFS-179086

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 293-300, 2019

Authors: Chen, Zhuolun

Article Type: Research Article

Abstract:  Green building is the development of sustainable development concept in architectural field. While the construction industry has brought great benefits to the development of national economy, its high investment, high pollution and inefficient development mode has also produced a huge energy load. Therefore, from the perspective of environmental and economic sustainability, the development of green buildings is particularly important. In this paper, the author makes economic benefit analysis of green building based on fuzzy logic and bilateral game model. By introducing such factors as economic benefits, cognition and government policies, this paper construct an evolutionary game model, which provides a …basis for improving the economic benefits of green buildings. The results show that the first factor affecting enterprise decision-making is the incremental profit of green building developers, followed by the government’s incentive policy. After the evolution of the market, the final strategic choice will be stabilized to higher economic benefits. Generally speaking, green buildings need to effectively control incremental costs and consider scale benefits. Through management efficiency innovation and policy stimulation, the problems of huge investment cost and long payback period can be solved, so as to improve the economic benefits of green building development. Show more

Keywords: Green building, game theory, incentive mechanism, benefit analysis

DOI: 10.3233/JIFS-179087

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 301-313, 2019

Authors: Chen, Yunfei | Du, Taihang | Sun, Shuguang | Jiang, Chundong

Article Type: Research Article

Abstract: In view of the high price of receivers in indoor radio interference sources, a double fingerprint database acquisition and location system based on wireless sensor networks is designed according to the design aim of low input and high efficiency. To meet the demand of the number of at least AP positioning in the positioning area, the main library collection in the overall positioning of fingerprint point and signal intensity, using the improved fuzzy C clustering (Fuzzy C Means, FCM) algorithm and support vector machine (Sport Vector Machine, SVM) location of interference source location and area, area after the parade AP …moving to the main fingerprint lock, before relying on offline collected local fingerprint information database, according to the Euclidean distance model of the objective function, the positioning process into local optimization and application of genetic algorithm (Genetic Algorithms GA) and Particle Swarm (Particle Swarm Optimization, PSO GA-PSO) algorithm to calculate model the optimal solution, converting the location coordinates of the interference source. The experimental results show that the confidence level of the non-sight distance positioning accuracy of 1.3m obtained at least AP is 76.3%, and the method used in the study is of high practical value. Show more

Keywords: Indoor positioning, clustering method, simulated annealing simplex fusion algorithm, GA-PSO fusion algorithm, cruise AP signal receiver

DOI: 10.3233/JIFS-179088

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 315-327, 2019

Authors: Feng, Hui | Yin, Xinghui | Xu, Lizhong | Lv, Guofang | Li, Qi | Wang, Lulu

Article Type: Research Article

Abstract:  In this paper, we propose an underwater object detection method, which uses improved spectral residual (SR) saliency detection and fuzzy segmentation. We adopt a two-phase mechanism, which divides visual object detection into detecting saliency map and image segmentation to obtain “proto object”. We compare the logarithmic spectrum differences between optical images in the atmosphere and in the water. Combining with the absorption characteristics of the propagation of light in water, we use the logarithmic spectrum of underwater images and logarithmic spectrums in R, G and B channels to generate new logarithmic spectrum, so as to highlight more object information and …obtain better saliency map. Then, using Fuzzy c-Means (FCM) clustering method to segment saliency map, we gather better similar information of the object and highlight the entire body of the objects. We tested the effectiveness of our method in underwater object detection in different underwater optical environments. The results show that our method can eliminate most of the background noise and improve the accuracy of underwater visual object detection. Show more

Keywords: Underwater object detection, saliency detection, spectral residual, Fuzzy c-Means, logarithmic spectrum

DOI: 10.3233/JIFS-179089

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 329-339, 2019

Authors: Yin, Qiang | Hu, Jiabing | Tong, Hangming | Song, Shaoyun | Zhang, Guoquan

Article Type: Research Article

Abstract: Due to the continuous improvement of industrial production requirements and green manufacturing demand, manufacturing enterprises and factories need to constantly optimize and improve the system structure. Based on the actual problems in the actual coal blending process, this paper analyzes the reason of the coal blending error in coal blending process and the optimization scheme of intelligent control of coal blending process. We optimized the overall structure of the coal blending system, improved the coal blending system which use the fuzzy control system. At the same time, we used MATLAB to simulate and analyse the simulation results. This paper gives …an illustration to the optimal structure and system of the coal blending system, effectively improves the accuracy and stability of the coal blending process control system, reduces the coal blending error and improves the quality of coal blending in general. Show more

Keywords: Green manufacturing, PID, intelligent control, fuzzy self-tuning, coal blending

DOI: 10.3233/JIFS-179090

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 341-349, 2019

Authors: Li, Ke | Zhang, Jinyi | Lei, Yingke | Ra, Cyn

Article Type: Research Article

Abstract: In the complex and changeable war environment, how to intercept the enemy’s communication signals and study the source individual fingerprint identification to obtain the information of the other party’s communication equipment and weapon system is an important basis for understanding the enemy. Due to the subtle differences in hardware between each communication device, there are individual characteristics that differ from other devices. Fingerprint identification of communication radiation source, by studying the individual characteristics carried in the communication signal, can identify which communication equipment is coming from. Tracing the communication equipment, an important basis is provided for determining the communication system …composition and strategic intention of the other party, and for the development of our action plan, which has important strategic significance in the field of communication confrontation. Based on this, this paper studies the bispectrum feature extraction method of communication emitter signal, constructs a classifier of communication emitter, and verifies the superiority of rectangular integral bispectrum method through experiments. The classifier is trained by using reduced dimension bispectrum feature vector of signal. Show more

Keywords: Communication radiation source, fingerprint, extraction method

DOI: 10.3233/JIFS-179091

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 351-359, 2019

Authors: Shen, Jie | Chen, He | Xu, Mengxi | Wang, Chao | Liu, Hui

Article Type: Research Article

Abstract: The conventional JSEG algorithm has a powerful detection capability on the homogeneity of regional texture features because it combines the spectral information with image texture features during the segmentation. However, the conventional JSEG method is not very accurate for the target edge localization in segmentation results. To solve this problem, this paper proposes an improved segmentation method of remotely sensed image based on JSEG algorithm and fuzzy c-means (FCM) with spatial constraints. Firstly, the FCM clustering method based on spatial neighborhood terms is used to replace the traditional HCM clustering method in the quantization step. Then the region growing method …is applied to segment the class diagram after FCM clustering. Finally, the proposed method uses the improved regional merger approach to merger the over divided region after segmentation. According to the J index, the proposed algorithm is improved by 31% and 12% compared with the traditional JSEG segmentation method and improved by 17% and 8% compared with the FNEA segmentation algorithm for aerial image and the SPOT 5 image. The experimental results show that the proposed segmentation algorithm has good noise immunity because of the fuzzy clustering of spatial constraints and can extract the edge of the target more accurately. Show more

Keywords: Remote sensing, image segmentation, J value segmentation (JSEG), fuzzy c-means (FCM), regional consolidation

DOI: 10.3233/JIFS-179092

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 361-370, 2019

Authors: Liu, Lizheng | Liu, Fangai | Ky, Byron

Article Type: Research Article

Abstract: Due to the increased development and applications of satellite communication, GPS equipment, video tracking and other communication technologies, the trajectory prediction of various SIs can be accurately predicted and tracked. Based on these technologies, mobile targets are extensively used in many applications. A large amount of trajectory data predicted by trajectory can be collected from the positioning terminal of the moving target by the signal-receiving device. This paper analyzes the application of computer technology in trajectory prediction of moving objects in data mining algorithm and proposes a trajectory analysis method based on structure and cloud computing motion capture algorithm. The …motion and trajectory characteristics of moving target trajectories are analyzed from microcosmic angle. By comparing the structural features of the extracted trajectory and the trajectory predicted by the trajectory of the moving object, the motion characteristics of the object can be analyzed more comprehensively. In addition, the sensitivity of the trajectory structure can be flexibly adjusted by setting the weight of the trajectory structure, so that the trajectory of the moving target can be analyzed and predicted in an effective and flexible way. Show more

Keywords: Data mining algorithm, moving target trajectory, prediction, computer technology, application

DOI: 10.3233/JIFS-179093

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 371-379, 2019

Authors: Gu, Yanhui | Zhu, Shuzhen | Yang, Zhiping | Zhao, Yuanjun

Article Type: Research Article

Abstract: In this paper we suggest a new approach to assessment of banking systemic risk contagion. Rather than the static analysis method, we introduce a dynamic analysis method to simulate the contagion of banking systemic risk. Banking systemic risk contagion is similar to the spread of infectious disease. In this paper, analysis is made on the process of banking systemic risk contagion by means of Matlab simulation based on network dynamic time-variant contagion kinetics model. The conclusion shows that high banking risk contagion rate, low risk immunization rate or low risk isolation protection rate all are the basic reasons for that …the “risk contagion reproductive rate” reaches the threshold value to make banking systemic risk contagion uncontrollable, and it is suggested to ensure banking system safety by taking measures from the three aspects pointed out above and combining with prudential supervision policies. Show more

Keywords: Network dynamic time-varying, contagion kinetics model, banking systemic risk contagion, risk contagion rate, risk immunization rate, risk isolation protection rate

DOI: 10.3233/JIFS-179094

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 381-395, 2019

Authors: Sheng, Pengcheng | Ma, Jingang | Wang, Dapeng | Wang, Wenyang | Elhoseny, M.

Article Type: Research Article

Abstract: Specific to the trajectory planning of intelligent electric vehicles with multi-constraints in some unknown environment, using rolling optimization principle of predictive model control for reference, an online trajectory planning algorithm based on a rolling window is proposed. Making full use of the local environmental information measured in real-time by intelligent electric vehicle, the path of continuous curvature is generated in the planning window by the Quintic Bézier curve and is optimized by the sequential quadratic planning algorithm. Furthermore, the optimal speed sequence for a given path is planed using the S-shaped curve velocity algorithm. Combining with the actual application scenario …of an intelligent electric vehicle, the algorithm is simulated, and the trajectory planning experiment is carried out based on the actual environmental data. The results show that a safe trajectory with continuous curvature and optimal speed can be produced by using this algorithm in some unknown environment scenarios. Show more

Keywords: Intelligent electric vehicle, rolling window, trajectory planning, quintic bézier curve, s-shaped curve

DOI: 10.3233/JIFS-179095

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 397-407, 2019