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 >

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 >

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 >

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 >

Liang Zhao^1,2,3, 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 >

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 >

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 >

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 >

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 >

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 >