Journal of Intelligent & Fuzzy Systems - Volume 40, issue 4

Authors: Ding, Ing-Jr | Zheng, Nai-Wei | Hsieh, Meng-Chuan

Article Type: Research Article

Abstract: With fast developments of artificial intelligence, human behaviors can be further acknowledged by means of the biometric information of hand gesture actions made by the person. Such hand gesture information revealing the specific intention of the person will be undoubtedly a critical clue to cognize human behaviors. Furthermore, identity recognition of the hand gesture-making person is one of the most important technique issues in hand gesture recognition applications. This work explores hand gesture intention-based identity recognition where various deep learning recognition strategies are presented. The well-know image sensor of Leap Motion Controller (LMC) is employed in this work for acquisitions …of active hand gesture data. This paper presents four different deep learning strategies for hand gesture intention-based identity recognition, all of which are based on the deep learning model of the visual geometry group (VGG)-type convolution neural network (CNN). The presented deep learning strategies to perform hand gesture intention-based identity recognition are typical VGG-16 CNN deep learning, dynamic time warping (DTW) classifications with VGG-16 CNN extracted deep learning features, DTW classifications by VGG-16 CNN extracted deep learning features with principal component analysis (PCA) data reduction, and PCA centroid classifications using VGG-16 CNN extracted deep learning features with PCA. Compared with traditional hand gesture recognition by classifications of only the geometrical space feature of LMC 3D-(x, y, z) data without any deep learning, most of presented VGG-CNN based deep learning approaches have more outstanding performances on recognition accuracy. In the situation of real-time recognition that considers both of recognition accuracy and computation time, PCA centroid classifications by VGG-16 CNN extracted deep learning features with PCA reduction, FC1-PCA and FC2-PCA features that are estimated from the first and the second fully connected (FC) layer of VGG-CNN respectively (i.e. FC1 and FC2 layers) and then significantly reduced the data dimension by PCA, apparently performs best among all presented deep learning strategies. Show more

Keywords: Human behavior cognition, hand gesture action, hand gesture intention-based identity recognition, LMC sensor, VGG-CNN deep learning feature

DOI: 10.3233/JIFS-189598

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7775-7788, 2021

Authors: Pan, Nan | Pan, Dilin | Hou, Zhanwei | Jiang, Xuemei | Liu, Yi

Article Type: Research Article

Abstract: Conventional methods can scarcely achieve the rapid comparison of line traces. In this study, trace detection signals based on a single-point laser were collected and smoothed. The multi-scale wavelet coefficient of the trace detection signals was obtained after noise reduction by the dual-tree complex wavelet algorithm to minimize the adverse effects of data size on successive comparison calculations. Batch similarity comparison of trace features was achieved using multiple comparison strategies, including an optimized dynamic time regulation algorithm and the recognition of the changing rate gradient. Based on the results of boosting fusion multi-strategy comparison, optimized comparisons were achieved by machine …learning, and a model for the rapid comparison of trace features was established. Finally, the viability of the proposed algorithm was verified by experiments. Show more

Keywords: Multi-strategy mode, line traces, dual tree complex wavelet, batch comparison

DOI: 10.3233/JIFS-189599

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7789-7794, 2021

Authors: Shen, Xin | Shu, Hongchun | Cao, Min | Qian, Junbing | Pan, Nan

Article Type: Research Article

Abstract: Power quality of distribution network is an emerging issue due to rapid increase in usage of non-linear loads on the one hand and utilization of sensitive devices on the other hand. Especially, harmonic emission is an important concern in both electric utilities and end users of electric power. Therefore, an accurate and rapid harmonic analysis method is of interest. New technologies have enabled the investigation of electricity consumption mode at an unprecedented scale and in multiple dimensions. However, an effective method that can capture the complexity of all the factors relevant to understanding a phenomenon such as ultrahigh harmonics (2–15 kHz). …How to detect the super high order harmonic accurately has become the premise and foundation of the study of super high order harmonic. The key challenge in developing such approaches is the identification of effective models to provide a comprehensive and relevant systems view. An ideal method can identify super high harmonics and predict outcomes, by measured data across several dimensions variation. In this paper, the data integration, current methods and available implementation is discussed. Finally, the current challenges in integrative methods is discussed. Show more

Keywords: Power quality, harmonic emission, unprecedented scale, multiple dimensions

DOI: 10.3233/JIFS-189600

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7795-7802, 2021

Authors: Shen, Xin | Shu, Hongchun | Cao, Min | Pan, Nan | Qian, Junbing

Article Type: Research Article

Abstract: In distribution networks with distributed power supplies, distributed power supplies can also be used as backup power sources to support the grid. If a distribution network contains multiple distributed power sources, the distribution network becomes a complex power grid with multiple power supplies. When a short-circuit fault occurs at a certain point on the power distribution network, the size, direction and duration of the short-circuit current are no longer single due to the existence of distributed power, and will vary with the location and capacity of the distributed power supply system. The change, in turn, affects the current in the …grid, resulting in the generation and propagation of additional current. This power grid of power electronics will cause problems such as excessive standard mis-operation, abnormal heating of the converter and component burnout, and communication system failure. It is of great and practical significance to study the influence of distributed power in distributed power distribution networks. Show more

Keywords: Distributed power, distribution network, malfunction, harmonic, power electronics

DOI: 10.3233/JIFS-189601

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7803-7810, 2021

Authors: Qian, Junbing | Zhao, Chengjun | Pan, Nan | Xie, Tao

Article Type: Research Article

Abstract: In order to effectively control the vibration transmitted from the ground to the precision equipment, permanent magnet linear synchronous motor (PMLSM) can be effectively applied in the active vibration absorber systems due to its good characteristics. The design of a PMLSM is very important because of the special requirements of the damping system on the response speed, working temperature, working bandwidth and installation size of the PMLSM. In this paper, the multi-objective design problem of the PMLSM in vibration damping system is proposed. Based on the equivalent magnetic circuit analysis of the PML SM’s air gap magnetic field, the performance …and design of the PMLSM are effectively analyzed in combination with the design objectives. The design and performance of the prototype meet the design requirements. Show more

Keywords: Damping, amplitude-frequency characteristics, Laplace transform, linear synchronous motor

DOI: 10.3233/JIFS-189602

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7811-7818, 2021

Authors: Qian, Junbing | Xu, Zhongru | Luo, Yongyou | Pan, Nan | Liu, Yi

Article Type: Research Article

Abstract: Most of the underwater salvage operations work in shallow waters. The underwater environment is complex and varied. There are many risks and unpredictable conditions such as turbulence, eddies, wind, waves and deep water pressure. The motion and control cause serious interference, and the flexibility of automatic stabilization and multi-dimensional motion under external disturbances is increasingly becoming a key element in the design process of underwater robots. In this paper, the structure, driving and control design of an underwater dynamic search and underwater robot based on 6-DOF driving is proposed, and its dynamics and control system are analyzed. Different from the …traditional underwater robot technology, the method proposed in this paper is more suitable for shallow water area and multi DOF driving control technology. The driving structure and electronic device of the robot are introduced. Several experiments were carried out in the controlled environment. The experimental results demonstrate the correctness and effectiveness of the design and analysis. Show more

Keywords: Complex underwater environment, underwater salvage operation, dynamics, driving system, multiple degrees of freedom

DOI: 10.3233/JIFS-189603

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7819-7828, 2021

Authors: Pan, Nan | Qian, Junbing | Zhao, Chengjun

Article Type: Research Article

Abstract: It can divide the atomization effect in the direction of the nozzle axial injection into the jet area and the non-jet area by using the second crushing theory. On this basis, according to the feed liquid atomization particles discrete degree index of characteristics particle size of feed liquid atomization, it divides the injection zone into the atomization area and the diffusion area, so as to realize the axial direction of jet nozzle injection zone, atomization zone and the diffusion zone accurately. Simulation and experiment are used to verify the three zones of atomization nozzle. The division of three zones drives …the study from the whole space of liquid distribution in the roller to atomization zone, clears the key zone of the roller in tobacco primary processing, and provides a basis for further work. Show more

Keywords: Roller, nozzle, injection zone, atomization zone, diffusion zone, atomized particle size

DOI: 10.3233/JIFS-189604

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7829-7836, 2021

Authors: Lilan, Haoqi | Qian, Junbing | Pan, Nan

Article Type: Research Article

Abstract: Nozzle spray atomization is widely used in industrial and agricultural production processes and is a very complicated physical change. The spray atomization of the nozzle is a process in which the droplets are continuously broken into finer particles under the action of force, in order to study the effect of nozzle atomization, that is, droplet size distribution characteristics. The experimental average mathematical model of droplet size distribution was established by introducing Sauter Mean Diameter (SMD). The droplet size distribution in the atomization field of the nozzle is studied by simulation. In the experimental study, the high-speed camera, external mixing air …atomizing nozzle platform experimental device and image processing were used, and the atomization field was divided into multiple observation areas. Through the measurement of several local observation areas, the droplet size distribution of the whole atomization field is constructed. It provides a reference for the study of the atomization field of the nozzle and a basis for the intuitive understanding of the droplet size distribution in the atomization field of the nozzle. The effective atomization area of the nozzle atomization was selected to study the influence of the liquid flow rate, the liquid temperature and the nozzle pressure on the atomized particle size distribution of the externally mixed atomizing nozzle. The internal law is obtained, which provides a basis and reference for effectively controlling the atomization effect in the atomization field. Show more

Keywords: Nozzle atomization, particle size, liquid, atomization field, image processing, Sauter average diameter

DOI: 10.3233/JIFS-189605

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7837-7847, 2021

Authors: Zhao, Chengjun | Pan, Nan | Jiang, Xuemei | Pan, Dilin | Liu, Yi

Article Type: Research Article

Abstract: The linear trace indicates the external morphological structure of the contact portion of clamping and cutting tools, which is not easy to be destroyed, has a high occurrence rate and high significant on identification. It is of great significance for prosecutor to determine the nature of the case and determine the tools used in the crime so as to find the criminals. The traditional linear trace analyzing methods include microscopy, manual comparison of characteristics, image recognition and three-dimensional scanning methods. The single-point laser picks up the toolmark detection signal, and the longest common substring is obtained after noise reduction. In …addition, the improved dynamic programming algorithm calculates and generates matching results. Finally, the effectiveness of the algorithm is verified by the actual detection data. Show more

Keywords: Linear trace, single-point laser, longest common substring, dynamic programming, matching calculation

DOI: 10.3233/JIFS-189606

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7849-7855, 2021

Authors: Pan, Nan | Jiang, Xuemei | Pan, Dilin | Liu, Yi

Article Type: Research Article

Abstract: Bullet trace detection’s main task is determining the type of bullet and the identity of the gun that fired it. In order to solve conventional bullet trace matching method problems, a bullet fast matching method based on single point laser detection is proposed. First, adaptive control of the bullet center position and cylinder axis were performed. Then, a laser displacement sensor was implemented to perform a 360° detection in order to trace rifling on the bullet surface in the circumferential direction; grayscale morphological filtering was implemented in order to de-noise detection data, and the Pearson correlation coefficient was implemented in …order to perform the trace similarity matching calculation, thereby achieving a fast bullet trace matching. Moreover, the algorithm’s effectiveness was verified via practical testing data. Show more

Keywords: Single point laser, bullet, adaptive control, grayscale morphological filtering, Pearson correlation coefficient

DOI: 10.3233/JIFS-189607

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7857-7862, 2021