Home / Journals / IASC / Vol.25, No.4, 2019
  • Open Access

    EDITORIAL

    Special Issue on Recent Advances in Artificial Intelligence for Smart Manufacturing – Part II

    Zheng Xu1, Qingyuan Zhou2, Zhiguo Yan3
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 1-3, 2019, DOI:10.31209/2019.100000082
    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Feature Selection and Representation of Evolutionary Algorithm on Keystroke Dynamics

    Purvashi Baynath, Sunjiv Soyjaudah, Maleika Heenaye-Mamode Khan
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 651-661, 2019, DOI:10.31209/2018.100000060
    Abstract The goal of this paper is (i) adopt fusion of features (ii) determine the best method of feature selection technique among ant Colony optimisation, artificial bee colony optimisation and genetic algorithm. The experimental results reported that ant colony Optimisation is a promising techniques as feature selection on Keystroke Dynamics as it outperforms in terms of recognition rate for our inbuilt database where the distance between the keys has been considered for the password derivation with recognition rate 97.85%. Finally the results have shown that a small improvement is obtained by fused features, which suggest that an effective fusion is necessary. More >

  • Open Access

    ARTICLE

    Adaptive Image Enhancement Using Hybrid Particle Swarm Optimization and Watershed Segmentation

    N. Mohanapriya1, Dr. B. Kalaavathi2
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 663-672, 2019, DOI:10.31209/2018.100000041
    Abstract Medical images are obtained straight from the medical acquisition devices so that, the image quality becomes poor and may contain noises. Low contrast and poor quality are the major issues in the production of medical images. Medical imaging enhancement technology gives way to solve these issues; it helps the doctors to see the interior portions of the body for early diagnosis, also it improves the features the visual aspects of an image for a right diagnosis. This paper proposes a new blend of Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO) called Hybrid Partial Swarm Optimization (HPSO) to… More >

  • Open Access

    ARTICLE

    State-Space Based Linear Modeling for Human Activity Recognition in Smart Space

    M. Humayun Kabir1, Keshav Thapa2, Jae-Young Yang2, Sung-HyunYang2
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 673-681, 2019, DOI:10.31209/2018.100000035
    Abstract Recognition of human activity is a key element for building intelligent and pervasive environments. Inhabitants interact with several objects and devices while performing any activity. Interactive objects and devices convey information that can be essential factors for activity recognition. Using embedded sensors with devices or objects, it is possible to get object-use sequencing data. This approach does not create discomfort to the user than wearable sensors and has no impact or issue in terms of user privacy than image sensors. In this paper, we propose a linear model for activity recognition based on the state-space method. The activities and sensor… More >

  • Open Access

    ARTICLE

    SI Bitmap Index and Optimization for Membership Query

    Shu Gaoa,b,*, Zhen Wanga, Liangchen Chena
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 683-689, 2019, DOI:10.31209/2018.100000061
    Abstract The explosive growth of data produced by internet of things has contributed to the abundance of data. Since then, efficient indexing and querying techniques for data retrieval has become a major challenge. Bitmap index and its extension techniques, which involve a bit sequence that represents a specified property and indicates the data items that satisfies this property, are well-known methods to improve processing time for complex and interactive queries on the read-mostly or append-only data. This paper proposes an improved bitmap index technique, named Sliced-Interval Bitmap Index (SI Bitmap Index), which is efficient in both space and response time for… More >

  • Open Access

    EDITORIAL

    Special Section on Recent Advances in Artificial Intelligence for Smart Manufacturing – Part I

    Zheng Xu1, Qingyuan Zhou2, Zhiguo Yan3
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 693-694, 2019, DOI:10.31209/2019.100000072
    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Hybrid Modulation Strategy For Reactive Compensation Of PV GridConnected Inverter

    Liao Tian-fa
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 695-704, 2019, DOI:10.31209/2019.100000073
    Abstract With the spreading of Photovoltaic (PV) grid-connected system, grid-connected reactive-load compensation and harmonic control is becoming a research focus. Unipolar and bipolar modulations are widely used in active power filter of PV grid-connected inverter. Unipolar modulation is good at harmonic, ripples and efficiency control, while bipolar modulation is good at grid-connected current control. A comprehensive comparison between the aforementioned modulation strategies in aspects of basic switching action, effects on operation mode, current harmonics,efficiency, is done in this paper. Base on it, a hybrid modulation strategy with the fusion of the unipolar and bipolar modulation is proposed in this paper. Numerical… More >

  • Open Access

    ARTICLE

    SEM-Based Research on Influence Factors of Energy Conservation in Operation and Maintenance of Construction Project

    Liang Zhao1,2,3, Wenshun Wang2, Wei Zhang1
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 705-713, 2019, DOI:10.31209/2019.100000074
    Abstract The energy consumption in operation and maintenance stage of construction project accounts for 80% of the whole project life cycle and therefore research on influence factors of energy consumption in project operation and maintenance stage is of great practical significance. Based on data of 260 valid questionnaires in Jiangsu area, structural equation model is adopted in the Thesis for empirical research on influence factors in operation and maintenance stage. Based on theoretical analysis and factor analysis, the conceptual model and research hypothesis for influence factors of energy consumption in operation and maintenance stage are proposed to establish structural equation model… More >

  • Open Access

    ARTICLE

    A DC Voltage Balancing Strategy Based on Active Vector Correction for Single-Phase Cascaded SST

    Zhendong Ji1, Shuzheng Wang2, Yichao Sun3, Jianhua Wang4, Jianfeng Zhao4
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 715-723, 2019, DOI:10.31209/2019.100000075
    Abstract The disadvantages in power system with traditional industrial frequency transformer can be resolved by Solid State Transformer (SST). Cascaded SST can be transformerless connected to the high voltage grid. However, the output performance and reliability of cascaded SST are seriously influenced by DC voltage balancing problem which exists in cascaded configuration. In this paper, a DC voltage balancing strategy based on active vector correction is proposed. This strategy is characterized by on-demand active power and equal reactive power among modulars. Then, a quantitative analysis method is presented to validate active power adjusting ability of the traditional and the proposed strategies.… More >

  • Open Access

    ARTICLE

    Research on Complexity of China’s Manufacturing Networks

    Tong Zhao, Bangwen Peng
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 725-733, 2019, DOI:10.31209/2019.100000076
    Abstract In this article, the industry complex network of China’s manufacturing is built based on the central input flow matrix data of 2012 Input-Output Tables of China through industry network modeling. This article analyses the complex nature of China’s manufacturing network in three aspects, which are feature of industry network in general, community structure and industry nodes, using a series of statistics measuring complex network. More >

  • Open Access

    ARTICLE

    Water Pressure Variation Properties Research in Non-ballasted Track Crack Interior under Fatigue Loading

    Xu Gui-Hong1, Zhang Wei-Biao2, Liao Hua-Rong1, Yang Rong-Shan3
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 735-743, 2019, DOI:10.31209/2019.100000077
    Abstract This paper reports the experimental study of water pressure properties inside crack of Non-ballasted track structure. Pre-existing crack concrete specimens with 510 × 1290 × 80mm dimensions were produced, and fluid-fracture interaction tests under cyclic loading were performed. The water pressure were measured at different locations inside cracks and with different loading frequencies as well as amplitudes. By using the experimental data, then is employed to investigate the water pressure distribution inside cracks affected by both the frequency and amplitude under cyclic loading. From this study, it was determined that the water pressure of cracks alternates between positive and negative… More >

  • Open Access

    ARTICLE

    Storage-based Control Loop for AGC to Mitigate the Tie-lines Power Excursion between Areas

    Shengqi Zhang, Bei Yuan, Jianfeng Zhao
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 745-753, 2019, DOI:10.31209/2019.100000078
    Abstract With the current trend of deregulation, more power exchange between GENCOs and DISCOs in different areas exists in the power system. To mitigate the unscheduled power exchange meets the common interests of GENCOs and DISCOs, and avoids the power over-loading on tie-lines. However, in the current control performance standards (CPS), frequency deviations have priority in the conventional automatic generation control (C-AGC). Thus, a storagebased tie-line control loop (STCL) on the basis of C-AGC (STCL-AGC) is proposed in this paper, which makes a better tradeoff in the recovery of the frequency deviations and the unscheduled power exchange. In STCL-AGC, utility-scaled battery… More >

  • Open Access

    ARTICLE

    Detecting Android Inter-App Data Leakage Via Compositional Concolic Walking

    Tianjun Wu, Yuexiang Yang
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 755-766, 2019, DOI:10.31209/2019.100000079
    Abstract While many research efforts have been around auditing individual android apps, the security issues related to the interaction among multiple apps are less studied. Due to the hidden nature of Inter-App communications, few existing security tools are able to detect such related vulnerable behaviors. This paper proposes to perform overall security auditing using dynamic analysis techniques. We focus on data leakage as it is one of the most common vulnerabilities for Android applications. We present an app auditing system AppWalker, which uses concolic execution on a set of apps. We use static Inter-App taint analysis to guide the dynamic auditing… More >

  • Open Access

    ARTICLE

    Research on Measuring Method of Crankshaft Based on Servo Control Mode

    Liu Yangpeng1, Ding Jianjun1, Cao Jingshu2, Wang Zhen1, Jiang Zhuangde1
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 767-774, 2019, DOI:10.31209/2019.100000080
    Abstract In the conventional measure process of crankshaft, the width of Abbe probe is designed as more than double the eccentricity volume of crank. This even causes the decline of test accuracy due to the probe distortion. This paper proposes a type of servo control mode for measuring crankshaft based on the four-axis motion system. Abbe probe is integrated with Axis motion system. It feeds in a servo way. A mathematical model is developed to ensure the stable contact between probe and workpiece during moving. The results show that, the narrowed Abbe probe will move according to the journal position, thus… More >

  • Open Access

    ARTICLE

    Study on On-site Monitoring of Hydration Heat of Mass Concrete for Bridge Slab Based on Measured Data

    Gao Xiaolong1, Li Chunguang2, Qiao Yunhong3
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 775-783, 2019, DOI:10.31209/2019.100000081
    Abstract Plagued by consistent temperature cracks caused by hydration heat of mass concrete construction, a lot of research on concrete DAMS and other large hydraulic concrete, the theory also more deeply, and for large span bridge foundation pile caps, corresponding much smaller size of mass concrete, the related research is less. This article obtains from the cooling water pipes "embedded" scheme optimization, based on the new Tianjin Haihe river bridge project as the engineering background, construction of the concrete hydration heat temperature rise theory model was set up, with the help of theory formula, the numerical simulation and field measurement, the… More >

  • Open Access

    ARTICLE

    Deterministic Vessel Automatic Collision Avoidance Strategy Evaluation Modeling

    Liu Hongdan, Liu Qi, Sun Rong
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 789-804, 2019, DOI:10.31209/2019.100000083
    Abstract Based on the concrete sailing parameters of the own vessel and the target vessel demarcate and the division of stages of vessel collision avoidance, the deterministic vessel automatic collision avoidance strategy evaluation model is constructed by the relevant factors which influence ships encounter dangerous situation. By means of inputting the relevant parameters of the collision avoidance strategy into the feasibility evaluation model, the estimated judging curves of the pivotal parameters of vessel collision avoidance can be validated, furthermore, the deterministic collision avoidance evaluation model for single vessel can be extended to the multi-vessels collision avoidance evaluation. Finally, by means of… More >

  • Open Access

    ARTICLE

    Hyperspectral Mineral Target Detection Based on Density Peak

    Yani Hou, Wenzhong Zhu, Erli Wang
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 805-814, 2019, DOI:10.31209/2019.100000084
    Abstract Hyperspectral remote sensing, with its narrow band imaging, provides the potential for fine identification of ground objects, and has unique advantages in mineral detection. However, the image is nonlinear and the pure pixel is scarce, so using standard spectrum detection will lead to an increase of the number of false alarm and missed detection. The density peak algorithm performs well in high-dimensional space and data clustering with irregular category shape. This paper used the density peak clustering to determine the cluster centers of various categories of images, and took it as the target spectrum, and took the clustering results as… More >

  • Open Access

    ARTICLE

    A Hybrid GABC-GA Algorithm for Mechanical Design Optimization Problems

    Hui Zhi1,2, Sanyang Liu1
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 815-825, 2019, DOI:10.31209/2019.100000085
    Abstract In this paper, we proposed a hybrid algorithm, which is embedding the genetic operators in the global-best-guided artificial bee colony algorithms called GABCGA to solve the nonlinear design optimization problems. The genetic algorithm has no memory function and good at find global optimization with large probability, but the artificial bee colony algorithm not have selection, crossover and mutation operator and most significant at local search. The hybrid algorithm balances the exploration and exploitation ability further by combining the advantages of both. The experimental results of five engineering optimization and comparisons with existing approaches show that the proposed approach is outperforms… More >

  • Open Access

    ARTICLE

    Modeling Analysis for Positioning Error of Mobile Lidar Based on MultiBody System Kinematics

    Cang Peng1, Yu Zhenglin2
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 827-835, 2019, DOI:10.31209/2019.100000086
    Abstract The assembly error of the supporting component in Mobile Lidar has an inevitable influence on the positioning accuracy and the system error. In this paper, we applied the multi-body system kinematics principle and the homogeneous coordinate transformation to infer the final pointing error formula which influences the three-axis error model of the Mobile Lidar. The influence of each error item on the positioning accuracy (pointing accuracy) of radar system is analyzed by computer simulation, and the motion law between each axis of radar supporting component is discussed, which has laid the base for researching the positioning accuracy of Mobile Lidar. More >

  • Open Access

    ARTICLE

    Application of Euler-Poincaré Characteristic in the Prediction of Permeability of Porous Media

    Yibo Zhao1,2
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 835-845, 2019, DOI:10.31209/2019.100000087
    Abstract In this paper, a new model is proposed to predict the permeability of porous media. This model introduces the Euler-Poincaré Characteristic (Euler Number), a parameter that reflects the connectivity of porous media. Using fractal and percolation theory, we establish a permeability model as a function of critical radius, porosity and Euler number. In order to relate the result to the Euler number, we introduce the Connectivity Function to calculate the critical aperture in the percolation theory, then calculate the percolation threshold value, and establish the relationship between the percolation threshold and the Euler number. The validity of the model is… More >

  • Open Access

    ARTICLE

    Personal Data Security and Supervision in the Age of Large Data

    DU Zhen-Yuan
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 847-853, 2019, DOI:10.31209/2019.100000088
    Abstract Big data’s fast growth and development has triggered the attention of academic circles. Most of the studies are focusing on the concept of personal data, the definition of data rights, etc. In China, the current status of laws protecting personal data is still scarce and incomplete, relying on specific regulations that are lacking an overall architecture, which has not been efficient in the age of rapid development and application of big data. In the western countries with relatively mature personal data supervision system, the supervision principle is centered on the data subject, and it is difficult to adapt to the… More >

  • Open Access

    ARTICLE

    Vibration Damping Design and Testing Research of Space Payload Cabinet

    Haitao Luo1, Jia Fu1, Rong Chen1, Peng Wang2
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 855-864, 2019, DOI:10.31209/2019.100000089
    Abstract Space payloads which installed on spacecraft such as satellites and airships are usually experienced random vibrations and low-frequency sinusoidal vibrations during launching. In this paper, a space payload cabinet is introduced, and the damping design is carried out by applying constrained viscoelastic damping layer to the surfaces of the cabinet to ensure that the space payloads can withstand the above-mentioned mechanical environmental conditions. A reliable connection between the space payload cabinet and the shaking table is achieved through the vibration test fixture. The basic requirements for the function and design of the vibration test fixture are presented. A method for… More >

  • Open Access

    ARTICLE

    Finite Element Analysis of a Newly Designed Straight Three-layered Seale Wire Strand

    Chun-Lei Yu1, Bin-Jie Dong2
    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 865-873, 2019, DOI:10.31209/2019.100000090
    Abstract A new geometry design method of three-layered Seale wire strand is proposed. The included angle between adjacent helical wires in the same layer, which is assumed as zero in the conventional design method, can be predefined arbitrarily by using the new method. The key process of deriving the diameter ratio of each layer wires was formulated into a one-dimensional problem and golden section method was applied to solve the problem efficiently. Finite element analysis of the newly developed three-layered Seale strand was also implemented by using a concise finite element model (FEM) which takes full advantage of the helical symmetry… More >

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