Journal of Intelligent & Fuzzy Systems - Volume 38, issue 1

Authors: Lu, Yujun | Hu, Xiaoyong | Su, Yu

Article Type: Research Article

Abstract: According to the large amount of and diversity of current industrial manufacturing data, on the basis of analyzed limitations of current industrial networking sensing system, a framework of industrial networking sensing system based on edge computing and artificial intelligence is put forward, including data-getting sensors group, first-level sensor routers, second-level sensor routers and backend severs. The above framework mainly is studied from three perspectives: structure level, workflow and key technologies, and the technology of artificial intelligence is the key to achieve this system with analysis of involved computational intelligence technology, information fusion technology and decision technology. This framework of industrial …networking sensing system has important reference value on improving timeliness and certainty of industrial networking communications, largely reduces the entire power consumption and reduce stress of background sever. Show more

Keywords: Industrial networking, perceptual layer, edge computing, artificial intelligence

DOI: 10.3233/JIFS-179403

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 283-291, 2020

Authors: Ding, Man | Bai, Zhonghang | Zhang, Jinzhu | Huang, Xiaoguang

Article Type: Research Article

Abstract: A dynamic color design model and method are proposed for a class of industrial product color design problems with dynamic changes in the appearance of products and different appearance in different operating modes. These types of industrial products that have a variety of operating modes in the operating cycle are defined as multimodal industrial products (MMIPs). For a single mode, a single-modal industrial product (SMIP) color design model is established by using users’ color image requirements as the design goal to transform the dynamic color design problem of products into weighting forms of several single modes and to realize the …discretization of continuous problems. Finally, a dynamic color design model of MMIPs is established. A genetic algorithm (GA) is used to optimize this model to obtain the color design scheme that conforms to the users’ dynamic image perception. Finally, by means of an example of color design about engineering machinery, this method is demonstrated to be feasible and applicable for dynamic color design optimization of MMIPs. Show more

Keywords: Genetic algorithm (GA), image, dynamic optimization, color design, multimodal industrial product (MMIP)

DOI: 10.3233/JIFS-179404

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 293-302, 2020

Authors: Xiao-Lan, Liu | Gui-Zhen, Lu | Jun-Liang, Zhang

Article Type: Research Article

Abstract: Theory of Characteristic Mode(TCM) has become a research hotspot in antenna design. The development of computational electromagnetic makes it possible to solve the eigenmode of microstrip antenna with arbitrary shape. In this paper, TCM with radiation boundary conditions is proposed to solve the input impedance of the antenna, and TCM based on differential equations is applied to the design of the circular wide-band wearable antenna with polygonal slot. By analyzing the radiation characteristics of different modes of the antenna, the optimal feeding place is selected to excite the desired mode by the normalized electric field distribution of different modes, and …then the wide-band characteristics are obtained. Experiments show that the circular wide-band wearable antenna with polygonal slot presented in this paper has good performance with bandwidth enough to covers (5.725GHz–5.85 GHz) frequency band and certain flexural resistance from a certain angle for wearable intelligent equipment applications. Show more

Keywords: Wearable antenna, TCM, feeding place, wide-band

DOI: 10.3233/JIFS-179405

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 303-309, 2020

Authors: Xiong, Junhua | Li, Ruisheng | Wang, Tingling | Gao, Jinfeng

Article Type: Research Article

Abstract: To solve the problem of harmonic distortion generated by the output AC of inverters without considering the relationship between carrier switching frequency and carrier frequency, by analyzing the influence of carrier switching frequency on random carrier signal, it was concluded that the phase mismatch between the front and back carriers was the fundamental reason for the distortion of the output voltage of inverters when the preset carrier was switched randomly. And the switching frequency was randomized by switching the preset carrier, i.e., an improved kind of random carrier frequency modulation (RCFM). The simulation and experimental results showed that the proposed …random PWM method could not only suppress the high-order harmonics of the output voltage more effectively, but also have better sinusoidal waveform than the conventional random PWM method. Show more

Keywords: Switching frequency, random PWM, harmonic suppression, preset carrier

DOI: 10.3233/JIFS-179406

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 311-318, 2020

Authors: Li, Xiaomian | Shu, Yufeng | Zuo, Dali | Zhang, Junhua | Chen, Zhanshuo | Gan, Haoxian | Li, Junlong | Li, Juntao | Chen, Kaiwen | Yang, Guohui

Article Type: Research Article

Abstract:  In today’s globalized economy, various industries are promoting product transformation and upgrading. The textile industry is also facing a harsh international situation and fierce market competition. While constantly promoting the upgrade of automation equipment, the original quality control mode relying on manual testing has been unable to meet the modern production requirements and the market demand for product quality. This paper investigates the product inspection and quality control in the textile industry at home and abroad, and puts forward the application of machine vision technology in textile automated inspection and quality control, so As to strengthen the product quality control …system and improve the product’s physical quality. By studying the composition of machine vision detection technology, this paper studies the two core technologies of image acquisition and image processing in machine vision, summarizes and analyzes the common defects of textile Products, and proves that the common defects can be detected and repaired in time by machine vision detection method. Show more

Keywords: Machine vision, defect, automatic detection, image processing, textiles

DOI: 10.3233/JIFS-179407

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 319-325, 2020

Authors: Du, Zhiqiang | Cui, Shigang

Article Type: Research Article

Abstract: In wind farms with high integrated automation systems, different communicated structures, such as different communication protocols and communication mediums, exist among various intelligent equipment. Different communication protocols or media will lead to incompatibility of communication between various intelligent devices. Developing communication protocol converters is an effective way to solve such problems. In this way, the communication efficiency between intelligent devices will be affected to some extent, and then the operation of the whole wind farm will be affected. This study introduces a communication protocol converter integrated with a multiserial, multiprotocol, and multinetwork system. The protocol converter treats the microcontroller STM32F407 …as the microcontroller unit of the converter to integrate multiple communication interfaces. Meanwhile, the compatibility problems of communication between the intelligent equipments in the wind field monitoring system can be solved using software to realize the conversion between the various communication protocols. Show more

Keywords: Wind farm, monitoring system, communication protocol converter, protocol conversion

DOI: 10.3233/JIFS-179408

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 327-335, 2020

Authors: Sun, Changxia | Liu, Yi | Zeng, Xia | Si, Haiping

Article Type: Research Article

Abstract: Provable security theory generally adopts the method of reduction, which makes use of the unsolvable mathematical problems in number theory to reduce the scheme to be safe. The idea of proof is a method of proof by contradiction: First, it is assumed that it is not difficult to solve the scheme presented in this paper, then the process of proving it, and finally, it is deduced that it is not difficult to calculate a certain difficult problem, which contradicts the difficulty of the mathematical problem. Then, it means that the assumption is not valid, and the scheme is proved to …be safe. In this paper, the security of the scheme proposed in our previous paper is proved in detail.the scheme is proved to be secure against existential forgery under selective attributes and adaptive chosen-message attack. Its security can be reduced to the hardness of the computational Diffie-Hellman problem. Show more

Keywords: Proxy signature, attribute-based, original signer, proxy signer, provable security, CDH problem

DOI: 10.3233/JIFS-179409

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 337-343, 2020

Authors: Ren, Xiaoling | Wang, Wen | Xu, Shijun

Article Type: Research Article

Abstract: It is the key step of the classification and recognition to segment 3D point cloud. Aiming at the shortcomings of super-voxels concavo-convex segmentation algorithm for 3D point cloud, an efficient segmentation method based on multi-feature fusion is proposed. Firstly, the noises of 3D point cloud are removed by the statistical outlier removal filter, and the denoised 3D point cloud is simplified by the voxel grid filter. Secondly, it is divided into many voxels with the same size by the octree, and the voxels with the smallest mean curvature in local neighbourhood are used as seed voxels for regional growth to …form super-voxels. Next, the super-voxels adjacency graph is structured and the concave-convex feature, continuous feature and colour feature between adjacent super-voxels are calculated as the weight on their edges. Finally, an arbitrary super-voxel is selected as the seed super-voxel to regional growth based on multi-feature weights of the edges in order to achieve the segmentation of the point cloud. The experimental results show that the proposed method whose segmentation speed, stability and accuracy are higher than existing methods greatly improves the over-segmentation or under-segmentation of the super-voxels segmentation algorithm. Show more

Keywords: Image processing, concave-convex segmentation, 3D point cloud, multi-feature fusion, region growth, colour feature

DOI: 10.3233/JIFS-179410

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 345-353, 2020

Authors: Xiong, Junhua | Li, Ruisheng | Wang, Tingling | Gao, Jinfeng

Article Type: Research Article

Abstract: Aiming at the optimization of power source capacity in multi-energy industrial parks, an economic optimization model with the lowest comprehensive cost of the system as the objective function was established, and an improved particle swarm optimization algorithm with natural selection strategy and chaos theory was proposed to optimize the model. This algorithm initialized particle fitness by chaotic mapping, added natural selection strategy to the iterative optimization process, and used chaotic ergodicity to search solution space. The test function simulation showed that the algorithm had the characteristics of fast convergence, high precision and being not easy to fall into local optimum. …A case study of a certain area in Hebei Province, China, was selected to analyze the example, and the power source capacity optimization design scheme was obtained. The analysis results verified the effectiveness of the algorithm. Show more

Keywords: Particle swarm optimization (PSO), natural selection, chaos, industrial park, capacity planning

DOI: 10.3233/JIFS-179411

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 355-363, 2020

Authors: Zhang, Shuo | Zhao, Xuan | Lei, Wubin | Yu, Qiang | Wang, Yibo

Article Type: Research Article

Abstract: On account of the limitations of single sensor in obstacle detection, the paper investigates an obstacle detection method based on the fusion of 3D LiDAR and monocular visual. The spatial data fusion of the two sensors is realized according to their calibration results, and the time data fusion is realized by using double buffer technology. Considering the aspect ratio of vehicles, the image region of interest is determined based on the obstacle clustering of 3D LiDAR data. By using Haar-like features as effective characteristic of the front vehicle, integral figure is applied to extract Haar-like features of vehicle samples and …non-vehicle samples. AdaBoost algorithm is used to choose weak classifiers to constitute strong classifiers, which combine into the cascade classifier. The cascade classifier has been trained to identify the vehicle target in the image region of interest. The relevant experimental results verify the effectiveness and real-time performance of the detection method. Show more

Keywords: Obstacle detection, multi-sensor fusion, vehicle identification, AdaBoost algorithm

DOI: 10.3233/JIFS-179412

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 365-377, 2020