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  • Open Access

    ARTICLE

    Performance Enhancement of PV Based Boost Cascaded Fifteen Level Inverter for AC Loads

    M. P. Viswanathan*, B. Anand

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 165-181, 2022, DOI:10.32604/csse.2022.020400

    Abstract In this research work, single-stage fifteen levels cascaded DC-interface converter (CDDCLC) is proposed for sun arranged photovoltaic technology (PV) applications. The proposed geography is joined with help DC chopper and H-associate inverter to upgrade the power converter to accomplish the diminished harmonic profile. In assessment with the customary inverter structures, the proposed system is used with diminished voltage stress, decreased switch count and DC source tally. The proposed research work with cascaded DC link converter design requires three DC sources for combining fifteen-level AC output. This investigation structure switching technique is phase opposition and disposition pulse width modulation technique (POPD)… More >

  • Open Access

    ARTICLE

    MRI Image Segmentation of Nasopharyngeal Carcinoma Using Multi-Scale Cascaded Fully Convolutional Network

    Yanfen Guo1,2, Zhe Cui1, Xiaojie Li2,*, Jing Peng1,2, Jinrong Hu2, Zhipeng Yang3, Tao Wu2, Imran Mumtaz4

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1771-1782, 2022, DOI:10.32604/iasc.2022.019785

    Abstract Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumors of the head and neck, and its incidence is the highest all around the world. Intensive radiotherapy using computer-aided diagnosis is the best technique for the treatment of NPC. The key step of radiotherapy is the delineation of the target areas and organs at risk, that is, tumor images segmentation. We proposed the segmentation method of NPC image based on multi-scale cascaded fully convolutional network. It used cascaded network and multi-scale feature for a coarse-to-fine segmentation to improve the segmentation effect. In coarse segmentation, image blocks and data augmentation… More >

  • Open Access

    ARTICLE

    Neural Network and Fuzzy Control Based 11-Level Cascaded Inverter Operation

    Buddhadeva Sahoo1,*, Sangram Keshari Routray2, Pravat Kumar Rout2, Mohammed M. Alhaider3

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2319-2346, 2022, DOI:10.32604/cmc.2022.019559

    Abstract This paper presents a combined control and modulation technique to enhance the power quality (PQ) and power reliability (PR) of a hybrid energy system (HES) through a single-phase 11-level cascaded H-bridge inverter (11-CHBI). The controller and inverter specifically regulate the HES and meet the load demand. To track optimum power, a Modified Perturb and Observe (MP&O) technique is used for HES. Ultra-capacitor (UCAP) based energy storage device and a novel current control strategy are proposed to provide additional active power support during both voltage sag and swell conditions. For an improved PQ and PR, a two-way current control strategy such… More >

  • Open Access

    ARTICLE

    A Cascaded Design of Best Features Selection for Fruit Diseases Recognition

    Faiz Ali Shah1, Muhammad Attique Khan2, Muhammad Sharif1, Usman Tariq3, Aimal Khan4, Seifedine Kadry5, Orawit Thinnukool6,*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1491-1507, 2022, DOI:10.32604/cmc.2022.019490

    Abstract Fruit diseases seriously affect the production of the agricultural sector, which builds financial pressure on the country's economy. The manual inspection of fruit diseases is a chaotic process that is both time and cost-consuming since it involves an accurate manual inspection by an expert. Hence, it is essential that an automated computerised approach is developed to recognise fruit diseases based on leaf images. According to the literature, many automated methods have been developed for the recognition of fruit diseases at the early stage. However, these techniques still face some challenges, such as the similar symptoms of different fruit diseases and… More >

  • Open Access

    ARTICLE

    Energy-Efficient Deployment of Water Quality Sensor Networks

    Qian Sun1,2, Zhiping Shen1,2, Jinglin Liang1,2, Xiaoyi Wang1,2,*, Jiping Xu1,2, Li Wang1,2, Huiyan Zhang1,2, Jiabin Yu1,2, Ning Cao3, Ruichao Wang4

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3967-3977, 2021, DOI:10.32604/cmc.2021.017252

    Abstract Water quality sensor networks are promising tools for the exploration of oceans. Some key areas need to be monitored effectively. Water quality sensors are deployed randomly or uniformly, however, and understanding how to deploy sensor nodes reasonably and realize effective monitoring of key areas on the basis of monitoring the whole area is an urgent problem to be solved. Additionally, energy is limited in water quality sensor networks. When moving sensor nodes, we should extend the life cycle of the sensor networks as much as possible. In this study, sensor nodes in non-key monitored areas are moved to key areas.… 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 >

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