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  • Open Access

    ARTICLE

    Detection of Behavioral Patterns Employing a Hybrid Approach of Computational Techniques

    Rohit Raja1, Chetan Swarup2, Abhishek Kumar3,*, Kamred Udham Singh4, Teekam Singh5, Dinesh Gupta6, Neeraj Varshney7, Swati Jain8

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2015-2031, 2022, DOI:10.32604/cmc.2022.022904 - 24 February 2022

    Abstract As far as the present state is concerned in detecting the behavioral pattern of humans (subject) using morphological image processing, a considerable portion of the study has been conducted utilizing frontal vision data of human faces. The present research work had used a side vision of human-face data to develop a theoretical framework via a hybrid analytical model approach. In this example, hybridization includes an artificial neural network (ANN) with a genetic algorithm (GA). We researched the geometrical properties extracted from side-vision human-face data. An additional study was conducted to determine the ideal number of… More >

  • Open Access

    ARTICLE

    Experimental Performance Evaluation and Artificial-Neural-Network Modeling of ZnO-CuO/EG-W Hybrid Nanofluids

    Yuling Zhai*, Long Li, Zihao Xuan, Mingyan Ma, Hua Wang

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 629-646, 2022, DOI:10.32604/fdmp.2022.017485 - 22 February 2022

    Abstract The thermo-physical properties of nanofluids are highly dependent on the used base fluid. This study explores the influence of the mixing ratio on the thermal conductivity and viscosity of ZnO-CuO/EG (ethylene glycol)-W (water) hybrid nanofluids with mass concentration and temperatures in the ranges 1-5 wt.% and 25-60°C, respectively. The characteristics and stability of these mixtures were estimated by TEM (transmission electron microscopy), visual observation, and absorbance tests. The results show that 120 min of sonication and the addition of PVP (polyvinyl pyrrolidone) surfactant can prevent sedimentation for a period reaching up to 20 days. The… More >

  • Open Access

    ARTICLE

    Molecular Basis of Unique Branching Phenotypes in Salvia splendens and the Role of PSY

    Peipei Hong1,#, Mei Wang2,#, Liting Zhi2, Hongwei Chen2,3,4,*, Kefeng Liu1, Hongli Wang2

    Phyton-International Journal of Experimental Botany, Vol.91, No.6, pp. 1211-1226, 2022, DOI:10.32604/phyton.2022.018435 - 14 February 2022

    Abstract The branching system of higher plants plays a very important role in plant morphogenesis, and the number of branches can directly affect crop yield and the ornamental value of plants. It is a complicated development process involving complex molecular mechanisms. The ‘Cailinghong’ variety of Salvia splendens is characterized by its great branching ability with the ability to grow into a spherical form naturally, without pinching. To gain insight into the molecular events during the branching development of S. splendens, suppressive subtractive hybridization (SSH) technology was used to screen differentially expressed genes between the erect plant type (strain… More >

  • Open Access

    ARTICLE

    Contourlet and Gould Transforms for Hybrid Image Watermarking in RGB Color Images

    Reena Thomas1,*, M. Sucharitha2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 879-889, 2022, DOI:10.32604/iasc.2022.024070 - 08 February 2022

    Abstract The major intention of this work is to introduce a novel hybrid image watermarking technique for RGB color images. This hybrid watermarking algorithm uses two transforms such as Contourlet and Gould transform. The Contourlet transform is used as first stage while the Gould transform is used as second stage. In the watermark embedding phase, the R, G and B channels are transformed using Contourlet transform. The bandpass directional sub band coefficients of Contourlet transformed image are then divided into sub-blocks. The sub-blocks are then transformed using Gould transform and the watermark information is embedded on More >

  • Open Access

    ARTICLE

    Distribution Network Reconfiguration Using Hybrid Optimization Technique

    S. Arun Kumar*, S. Padma, S. Madhubalan

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 777-789, 2022, DOI:10.32604/iasc.2022.023702 - 08 February 2022

    Abstract Energy management carried in a power system by configuration process is a difficult activity. So, reconfiguration has been introduced to solve this problem. Numerous optimization topologies have been utilized to solve this problem so far. However, they exhibit some drawbacks such as convergence, etc. Hence to overcome this issue, this work formulated a new hybrid optimization topology Genetic Algorithm Enabled Particle Swarm Optimization (PSOGA) to solve the energy configuration problem with low power loss in the Distribution System (DS). The proposed topology’s effectiveness was evaluated on the IEEE 33 bus Distribution System, and the results More >

  • Open Access

    ARTICLE

    Classification of Echocardiographic Standard Views Using a Hybrid Attention-based Approach

    Zi Ye1, Yogan Jaya Kumar2, Goh Ong Sing2, Fengyan Song3, Xianda Ni4,*

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1197-1215, 2022, DOI:10.32604/iasc.2022.023555 - 08 February 2022

    Abstract The determination of the probe viewpoint forms an essential step in automatic echocardiographic image analysis. However, classifying echocardiograms at the video level is complicated, and previous observations concluded that the most significant challenge lies in distinguishing among the various adjacent views. To this end, we propose an ECHO-Attention architecture consisting of two parts. We first design an ECHO-ACTION block, which efficiently encodes Spatio-temporal features, channel-wise features, and motion features. Then, we can insert this block into existing ResNet architectures, combined with a self-attention module to ensure its task-related focus, to form an effective ECHO-Attention network. More >

  • Open Access

    ARTICLE

    Facial Action Coding and Hybrid Deep Learning Architectures for Autism Detection

    A. Saranya1,*, R. Anandan2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1167-1182, 2022, DOI:10.32604/iasc.2022.023445 - 08 February 2022

    Abstract Hereditary Autism Spectrum Disorder (ASD) is a neuron disorder that affects a person's ability for communication, interaction, and also behaviors. Diagnostics of autism are available throughout all stages of life, from infancy through adolescence and adulthood. Facial Emotions detection is considered to be the most parameter for the detection of Autismdisorders among the different categories of people. Propelled with a machine and deep learning algorithms, detection of autism disorder using facial emotions has reached a new dimension and has even been considered as the precautionary warning system for caregivers. Since Facial emotions are limited to… More >

  • Open Access

    ARTICLE

    Cost Effective Optimal Task Scheduling Model in Hybrid Cloud Environment

    M. Manikandan1,*, R. Subramanian2, M. S. Kavitha3, S. Karthik3

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 935-948, 2022, DOI:10.32604/csse.2022.021816 - 08 February 2022

    Abstract In today’s world, Cloud Computing (CC) enables the users to access computing resources and services over cloud without any need to own the infrastructure. Cloud Computing is a concept in which a network of devices, located in remote locations, is integrated to perform operations like data collection, processing, data profiling and data storage. In this context, resource allocation and task scheduling are important processes which must be managed based on the requirements of a user. In order to allocate the resources effectively, hybrid cloud is employed since it is a capable solution to process large-scale… More >

  • Open Access

    ARTICLE

    A Fault Current Limiting Hybrid DC Circuit Breaker

    Lei Huang*, Qian Zhang, Wenlei Liu, Ruixue Liu

    Energy Engineering, Vol.119, No.2, pp. 621-636, 2022, DOI:10.32604/ee.2022.016769 - 24 January 2022

    Abstract Due to the low impedance characteristic of the high voltage direct current (HVDC) grid, the fault current rises extremely fast after a DC-side fault occurs, and this phenomenon seriously endangers the safety of the HVDC grid. In order to suppress the rising speed of the fault current and reduce the current interruption requirements of the main breaker (MB), a fault current limiting hybrid DC circuit breaker (FCL-HCB) has been proposed in this paper, and it has the capability of bidirectional fault current limiting and fault current interruption. After the occurrence of the overcurrent in the More >

  • Open Access

    ARTICLE

    A Dual Arm Complementary Hybrid Modulation Strategy Combining NL-SPWM for MMC Applications

    Mingwan Mei1, Ping Wang1, Yanbo Che1,*, Zihan Lv1, Zmarrak Wali Khanand1, Chao Xing1,2

    Energy Engineering, Vol.119, No.2, pp. 591-607, 2022, DOI:10.32604/ee.2022.016585 - 24 January 2022

    Abstract

    In the medium voltage direct current (MVDC) transmission system, a small number of MMC sub modules will reduce the power quality. In this paper, based on the research background of Photovoltaic Medium Voltage Direct Current (PV-MVDC) system, a Hybrid Modulation Strategy based on the Decoupled Double Synchronous Reference Frame (DDSRF) control strategy is proposed. The dual arm complementary hybrid modulation combining nearest-level-SPWM (NL-SPWM) can keep the number of SMs in the ON state constant. Then, the corresponding voltage sharing control algorithm of sub module (SM) is introduced. Through theoretical calculation, the modulation strategy can be found

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